diff --git a/.codex/skills/chatgpt2api-search/SKILL.md b/.codex/skills/chatgpt2api-search/SKILL.md new file mode 100644 index 0000000000000000000000000000000000000000..b2b65cf33be28926a25af259fe629b2c14318f85 --- /dev/null +++ b/.codex/skills/chatgpt2api-search/SKILL.md @@ -0,0 +1,27 @@ +--- +name: chatgpt2api-search +description: Use when current web search is needed through this chatgpt2api server. Call the configured HTTP search endpoint with a prompt and return the answer with source URLs. +--- + +# ChatGPT2API Search + +Use this skill when the user asks for current web search, online lookup, recent information, or source-backed answers. + +## Endpoint + +POST http://127.0.0.1:8000/v1/search + +Headers: + +Authorization: Bearer chatgpt2api +Content-Type: application/json + +Body: + +{ + "prompt": "" +} + +## Response + +Use `answer` as the main response. Include URLs from `sources` when available. diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 0000000000000000000000000000000000000000..c66c3f8b6280b59f75bdc258366070ef6896fdf4 --- /dev/null +++ b/.dockerignore @@ -0,0 +1,14 @@ +.git +.gitignore +.idea +.venv +__pycache__ +*.pyc +*.pyo +*.pyd + +web/.next +web/node_modules + +assets +README.md diff --git a/.env.example b/.env.example new file mode 100644 index 0000000000000000000000000000000000000000..a8eb2763e242c01b10d59680c7f03b53f8cfebf9 --- /dev/null +++ b/.env.example @@ -0,0 +1,48 @@ +# ============================================ +# ChatGPT2API 环境变量配置示例 +# ============================================ + +# 认证密钥（必填） +CHATGPT2API_AUTH_KEY=your_secret_key_here + +# 基础 URL（可选，用于生成图片 URL） +# CHATGPT2API_BASE_URL=https://your-domain.com + +# ============================================ +# 存储后端配置 +# ============================================ + +# 存储后端类型（可选值: json, sqlite, postgres, git） +# 默认: json +STORAGE_BACKEND=json + +# ============================================ +# 数据库配置（当 STORAGE_BACKEND=sqlite/postgres 时使用） +# ============================================ + +# PostgreSQL 示例 +# DATABASE_URL=postgresql://user:password@localhost:5432/chatgpt2api + +# Supabase 示例 +# DATABASE_URL=postgresql://postgres.xxx:password@aws-1-us-west-1.pooler.supabase.com:5432/postgres + +# SQLite 示例（不指定时自动使用 data/accounts.db） +# DATABASE_URL=sqlite:///app/data/accounts.db + +# ============================================ +# Git 仓库配置（当 STORAGE_BACKEND=git 时使用） +# ============================================ + +# Git 仓库地址（必填） +# GIT_REPO_URL=https://github.com/your-username/your-private-repo.git + +# Git 访问令牌（必填） +# GitHub: ghp_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx +# GitLab: glpat-xxxxxxxxxxxxxxxxxxxx +# GIT_TOKEN=your_git_token_here + +# Git 分支（可选，默认: main） +# GIT_BRANCH=main + +# Git 仓库中的文件路径（可选，默认: accounts.json） +# GIT_FILE_PATH=accounts.json diff --git a/.github/workflows/docker-publish.yml b/.github/workflows/docker-publish.yml new file mode 100644 index 0000000000000000000000000000000000000000..f7bdd844802ca267ba5343d1865ada80e28a3d63 --- /dev/null +++ b/.github/workflows/docker-publish.yml @@ -0,0 +1,61 @@ +name: Publish Docker Image + +on: + push: + tags: + - "v*" + workflow_dispatch: + +env: + IMAGE_NAME: chatgpt2api + +jobs: + docker: + runs-on: ubuntu-latest + permissions: + contents: read + packages: write + + steps: + - name: Checkout + uses: actions/checkout@v4 + + - name: Set up QEMU + uses: docker/setup-qemu-action@v3 + with: + platforms: arm64 + + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 + + - name: Log in to GHCR + uses: docker/login-action@v3 + with: + registry: ghcr.io + username: ${{ github.actor }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Extract Docker metadata + id: meta + uses: docker/metadata-action@v5 + with: + images: ghcr.io/${{ github.repository_owner }}/${{ env.IMAGE_NAME }} + tags: | + type=raw,value=latest,enable=${{ startsWith(github.ref, 'refs/tags/v') }} + type=ref,event=tag + type=sha + type=semver,pattern={{version}} + type=semver,pattern={{major}}.{{minor}} + + - name: Build and push image + uses: docker/build-push-action@v6 + with: + context: . + file: ./Dockerfile + target: app + platforms: linux/amd64,linux/arm64 + push: true + tags: ${{ steps.meta.outputs.tags }} + labels: ${{ steps.meta.outputs.labels }} + cache-from: type=gha + cache-to: type=gha,mode=max diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..8ef13f20322ca7cff93d5fde8fb5f44204a47df8 --- /dev/null +++ b/.gitignore @@ -0,0 +1,35 @@ +# Python-generated files +__pycache__/ +*.py[oc] +build/ +dist/ +wheels/ +*.egg-info +web_dist +# Virtual environments +.venv +.idea +data +config.json +edit + +docker-compose-local.yml + +.claude/settings.local.json + +# Environment variables +.env +.env.local + +# Database files +*.db +*.sqlite +*.sqlite3 + +# Git cache +git_cache/ + +# 调试/测试输出目录 +loginwithpassword_*/ +logwithemailverifycode_*/ +test_batch_output/ \ No newline at end of file diff --git a/.python-version b/.python-version new file mode 100644 index 0000000000000000000000000000000000000000..24ee5b1be9961e38a503c8e764b7385dbb6ba124 --- /dev/null +++ b/.python-version @@ -0,0 +1 @@ +3.13 diff --git a/CHANGELOG.md b/CHANGELOG.md new file mode 100644 index 0000000000000000000000000000000000000000..927b084ccca30b4a4074a90a42148d79559c535d --- /dev/null +++ b/CHANGELOG.md @@ -0,0 +1,52 @@ +# Changelog + +## Unreleased + ++ [新增] 账号刷新改为异步模式，支持前端轮询刷新/重新登录进度。 ++ [新增] 号池管理页面新增重新登录功能，支持密码登录恢复异常账号。 ++ [新增] 刷新后自动重新登录异常账号（可在设置页开启）。 ++ [新增] 图片生成支持并行模式，多张图片使用独立线程和账号同时生成。 ++ [新增] 图片轮询超时自动换账号重试（最多4次），连接超时同账号递增等待重试。 ++ [新增] 图片二次确认机制与先check再hit可配置化，关闭后可跳过等待直接返回结果。 ++ [新增] 图片任务进度追踪，显示当前生成步骤（上传/预热/获取token/生成中等）。 ++ [新增] 图片超时后续轮询功能，前端显示"继续等待"按钮。 ++ [新增] 设置页新增图片二次确认、超时等待时间、自动重新登录等配置项。 ++ [优化] 优化生图页面滚动加载性能，图片懒加载、会话切换滚动位置保存与恢复。 ++ [优化] 图片结果页 LazyImage 懒加载，减少首屏渲染压力。 ++ [修复] 图片服务响应添加 CORS 头，修复跨域访问问题。 ++ [修复] Checkbox 图标颜色修复，确保可见性。 + +## 1.4.0 - 2026-05-31 + ++ [新增] 新增AI生成可编辑PSD文件逆向。 ++ [新增] 新增AI生成可编辑PPT文件逆向。 + +## 1.3.1 - 2026-05-30 + ++ [新增] 新增ChatGPT搜索调试、Skills。 + +## 1.3.0 - 2026-05-30 + ++ [新增] 新增ChatGPT搜索接口逆向。 + +## 1.2.4 - 2026-05-30 + ++ [新增] 添加聊天补全缓存与重复请求合并。 ++ [新增] 新增无限画布一键跳转功能 + +## 1.2.3 - 2026-05-29 + ++ [新增] 新增账号级代理。 ++ [修复] 修复503异常信息、前端邮箱换行问题。 + +## 1.2.2 - 2026-05-29 + ++ [新增] 新增Codex链路生图、支持2k,4k。 ++ [新增] 支持RT刷新账号信息。 + +## 1.2.0 - 2026-05-28 + ++ [新增] 当前版本基线，包含 Web 面板、画图、号池管理、注册机、图片管理、日志管理和设置能力。 ++ [新增] 前端版本号支持点击查看版本更新弹窗，展示当前版本、最新版本和更新日志。 ++ [优化] 优化注册机效率，成功率大幅提高。 ++ [优化] 优化生图页面配置选项。 diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..3fd89aac6cc7c99d5c8648c5dca8bc9752b68559 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,56 @@ +ARG BUILDPLATFORM +ARG TARGETPLATFORM +ARG TARGETARCH + +FROM --platform=$BUILDPLATFORM node:22-alpine AS web-build + +WORKDIR /app/web + +COPY web/package.json web/bun.lock ./ +RUN npm install + +COPY VERSION /app/VERSION +COPY CHANGELOG.md /app/CHANGELOG.md +COPY web ./ +RUN NEXT_PUBLIC_APP_VERSION="$(cat /app/VERSION)" npm run build + + +FROM --platform=$TARGETPLATFORM python:3.13-slim AS app + +ARG TARGETPLATFORM +ARG TARGETARCH + +ENV PYTHONDONTWRITEBYTECODE=1 \ + PYTHONUNBUFFERED=1 \ + UV_LINK_MODE=copy + +WORKDIR /app + +# 安装系统依赖 +# - git: Git 存储后端需要 +# - libpq-dev: PostgreSQL 客户端库 +# - gcc: 编译 psycopg2-binary 需要 +RUN apt-get update && apt-get install -y --no-install-recommends \ + git \ + libpq-dev \ + gcc \ + openssl \ + && rm -rf /var/lib/apt/lists/* + +RUN pip install --no-cache-dir uv + +COPY pyproject.toml uv.lock ./ +RUN uv sync --frozen --no-dev --no-install-project + +COPY main.py ./ +COPY config.json ./ +COPY VERSION ./ +COPY api ./api +COPY services ./services +COPY utils ./utils +COPY scripts ./scripts +COPY --from=web-build /app/web/out ./web_dist + +EXPOSE 7860 + +CMD ["uv", "run", "uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860", "--access-log"] diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..58e8f6506556e2827432bd52cc9fbf3d13b5bd70 --- /dev/null +++ b/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2026 kunkun + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/README.md b/README.md index 01cc872de64aec2b492507ea0e0f9f69e20976d0..d7d40f6e7861e037fa2b62bcb9b6fedf39670ba1 100644 --- a/README.md +++ b/README.md @@ -1,10 +1,348 @@ --- -title: Chatgpt2api -emoji: 😻 -colorFrom: red -colorTo: purple +title: ChatGPT2API sdk: docker +app_port: 7860 pinned: false --- -Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference +

ChatGPT2API

+ + +

ChatGPT2API 主要是对 ChatGPT 官网相关能力进行逆向整理与封装，提供面向 ChatGPT 图片生成、图片编辑、多图组图编辑场景的 OpenAI 兼容图片 API / 代理，并集成在线画图、号池管理、多种账号导入方式与 Docker 自托管部署能力。

+ +> [!WARNING] +> 免责声明： +> +> 本项目涉及对 ChatGPT 官网文本生成、图片生成与图片编辑等相关接口的逆向研究，仅供个人学习、技术研究与非商业性技术交流使用。 +> +> - 严禁将本项目用于任何商业用途、盈利性使用、批量操作、自动化滥用或规模化调用。 +> - 严禁将本项目用于破坏市场秩序、恶意竞争、套利倒卖、二次售卖相关服务，以及任何违反 OpenAI 服务条款或当地法律法规的行为。 +> - 严禁将本项目用于生成、传播或协助生成违法、暴力、色情、未成年人相关内容，或用于诈骗、欺诈、骚扰等非法或不当用途。 +> - 使用者应自行承担全部风险，包括但不限于账号被限制、临时封禁或永久封禁以及因违规使用等所导致的法律责任。 +> - 使用本项目即视为你已充分理解并同意本免责声明全部内容；如因滥用、违规或违法使用造成任何后果，均由使用者自行承担。 +> - 本项目基于对 ChatGPT 官网相关能力的逆向研究实现，存在账号受限、临时封禁或永久封禁的风险。请勿使用你自己的重要账号、常用账号或高价值账号进行测试。 + +## 快速开始 + +已发布镜像支持 `linux/amd64` 与 `linux/arm64`，在 x86 服务器和 Apple Silicon / ARM Linux 设备上都会自动拉取匹配架构的版本。 + +### Docker 运行 + +```bash +git clone git@github.com:basketikun/chatgpt2api.git +cd chatgpt2api +docker compose up -d +``` + +启动前请先在 `config.json` 中设置 `auth-key`，也可以在 `docker-compose.yml` 中通过 `CHATGPT2API_AUTH_KEY` 覆盖。 + +- Web 面板：`http://localhost:3000` +- API 地址：`http://localhost:3000/v1` +- 数据目录：`./data` + +### 本地开发 + +启动后端： + +```bash +git clone git@github.com:basketikun/chatgpt2api.git +cd chatgpt2api +uv sync +uv run main.py +``` + +启动前端： + +```bash +cd chatgpt2api/web +bun install +bun run dev +``` + +后续更新新版本： + +```bash +docker pull ghcr.io/basketikun/chatgpt2api:latest +docker-compose down +docker-compose up -d + +``` + +### 存储后端配置 + +支持通过环境变量 `STORAGE_BACKEND` 切换存储方式： + +- `json` - 本地 JSON 文件（默认） +- `sqlite` - 本地 SQLite 数据库 +- `postgres` - 外部 PostgreSQL（需配置 `DATABASE_URL`） +- `git` - Git 私有仓库（需配置 `GIT_REPO_URL` 和 `GIT_TOKEN`） + +示例：使用 PostgreSQL + +```yaml +environment: + - STORAGE_BACKEND=postgres + - DATABASE_URL=postgresql://user:password@host:5432/dbname +``` + +## 功能 + +### API 兼容能力 + +- 兼容 `POST /v1/images/generations` 图片生成接口 +- 兼容 `POST /v1/images/edits` 图片编辑接口 +- 兼容面向图片场景的 `POST /v1/chat/completions` +- 兼容面向图片场景的 `POST /v1/responses` +- `GET /v1/models` 返回 `gpt-image-2`、`codex-gpt-image-2`、`auto`、`gpt-5`、`gpt-5-1`、`gpt-5-2`、`gpt-5-3`、`gpt-5-3-mini`、 + `gpt-5-mini` +- 支持通过 `n` 返回多张生成结果 +- 支持生成可编辑 PPT 文件 +- 支持生成可编辑 PSD 文件 +- 支持 Codex 中的画图接口逆向，仅 `Plus` / `Team` / `Pro` 订阅可用，模型别名为 `codex-gpt-image-2`，如有需要可自行在其他场景映射回 + `gpt-image-2`，用于和官网画图区分；也就意味着同一账号会同时有官网和 Codex 两份生图额度 + +### 在线画图功能 + +- 内置在线画图工作台，支持生成、图片编辑与多图组图编辑 +- 支持 `gpt-image-2`、`codex-gpt-image-2`、`auto`、`gpt-5`、`gpt-5-1`、`gpt-5-2`、`gpt-5-3`、`gpt-5-3-mini`、`gpt-5-mini` 模型选择 +- 编辑模式支持参考图上传 +- 前端支持多图生成交互 +- 本地保存图片会话历史，支持回看、删除和清空 +- 支持服务端缓存图片URL +- 图片生成进度追踪，超时后可继续等待 +- 图片懒加载与滚动位置记忆，优化大量图片场景性能 + +### 号池管理功能 + +- 自动刷新账号邮箱、类型、额度和恢复时间（异步进度追踪） +- 轮询可用账号执行图片生成与图片编辑 +- 遇到 Token 失效类错误时自动剔除无效 Token +- 定时检查限流账号并自动刷新 +- 支持密码重新登录恢复异常账号，刷新后可自动重登 +- 支持网页端配置全局 HTTP / HTTPS / SOCKS5 / SOCKS5H 代理 +- 支持搜索、筛选、批量刷新、导出、手动编辑和清理账号 +- 支持四种导入方式：本地 CPA JSON 文件导入、远程 CPA 服务器导入、`sub2api` 服务器导入、`access_token` 导入 +- 支持在设置页配置 `sub2api` 服务器，筛选并批量导入其中的 OpenAI OAuth 账号 + +### 实验性 / 规划中 + +- `/v1/complete` 文本补全与流式输出已实现，但仍在测试，目前会出现对话重复的问题，请谨慎测试使用 +- `/v1/chat/completions` 文本链路支持短 TTL 缓存、重复请求合并与相邻重复消息清理，可通过 `chat_completion_cache` 配置调整 +- 详细状态说明见：[功能清单](./docs/feature-status.en.md) + +## 效果展示 + + + + + + + + + + + + + +
imageimage edit
chery studioaccount pool
new api
+ +## API + +所有 AI 接口都需要请求头： + +```http +Authorization: Bearer +``` + +
+GET /v1/models +
+ +返回当前暴露的图片模型列表。 + +```bash +curl http://localhost:8000/v1/models \ + -H "Authorization: Bearer " +``` + +
+说明 +
+ +| 字段 | 说明 | +|:-----|:-----------------------------------------------------------------------------------------------------------| +| 返回模型 | `gpt-image-2`、`codex-gpt-image-2`、`auto`、`gpt-5`、`gpt-5-1`、`gpt-5-2`、`gpt-5-3`、`gpt-5-3-mini`、`gpt-5-mini` | +| 接入场景 | 可接入 Cherry Studio、New API 等上游或客户端 | + +
+
+
+ +
+POST /v1/images/generations +
+ +OpenAI 兼容图片生成接口，用于文生图。 + +```bash +curl http://localhost:8000/v1/images/generations \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer " \ + -d '{ + "model": "gpt-image-2", + "prompt": "一只漂浮在太空里的猫", + "n": 1, + "response_format": "b64_json" + }' +``` + +
+字段说明 +
+ +| 字段 | 说明 | +|:------------------|:---------------------------------------------------| +| `model` | 图片模型，当前可用值以 `/v1/models` 返回结果为准，推荐使用 `gpt-image-2` | +| `prompt` | 图片生成提示词 | +| `n` | 生成数量，当前后端限制为 `1-4` | +| `response_format` | 当前请求模型中包含该字段，默认值为 `b64_json` | + +
+
+
+ +
+POST /v1/images/edits +
+ +OpenAI 兼容图片编辑接口，可上传图片文件，也可按官方 JSON 格式传入图片链接并生成编辑结果。 + +```bash +curl http://localhost:8000/v1/images/edits \ + -H "Authorization: Bearer " \ + -F "model=gpt-image-2" \ + -F "prompt=把这张图改成赛博朋克夜景风格" \ + -F "n=1" \ + -F "image=@./input.png" +``` + +也可以直接传图片 URL： + +```bash +curl http://localhost:8000/v1/images/edits \ + -H "Authorization: Bearer " \ + -H "Content-Type: application/json" \ + -d '{ + "model": "gpt-image-2", + "prompt": "把这张图改成赛博朋克夜景风格", + "images": [ + {"image_url": "https://example.com/input.png"} + ] + }' +``` + +
+字段说明 +
+ +| 字段 | 说明 | +|:------------|:----------------------------------------------| +| `model` | 图片模型， `gpt-image-2` | +| `prompt` | 图片编辑提示词 | +| `n` | 生成数量，当前后端限制为 `1-4` | +| `image` | 需要编辑的图片文件，使用 multipart/form-data 上传 | +| `images` | JSON 图片引用数组，支持 `{"image_url": "https://..."}` | +| `image_url` | 表单模式下也可直接传图片链接，支持重复字段传多张图 | + +
+
+
+ +
+POST /v1/chat/completions +
+ +面向图片场景的 Chat Completions 兼容接口，不是完整通用聊天代理。 + +```bash +curl http://localhost:8000/v1/chat/completions \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer " \ + -d '{ + "model": "gpt-image-2", + "messages": [ + { + "role": "user", + "content": "生成一张雨夜东京街头的赛博朋克猫" + } + ], + "n": 1 + }' +``` + +
+字段说明 +
+ +| 字段 | 说明 | +|:-----------|:------------------| +| `model` | 图片模型，默认按图片生成场景处理 | +| `messages` | 消息数组，需要是图片相关请求内容 | +| `n` | 生成数量，按当前实现解析为图片数量 | +| `stream` | 已实现，但仍在测试 | + +
+
+
+ +
+POST /v1/responses +
+ +面向图片生成工具调用的 Responses API 兼容接口，不是完整通用 Responses API 代理。 + +```bash +curl http://localhost:8000/v1/responses \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer " \ + -d '{ + "model": "gpt-5", + "input": "生成一张未来感城市天际线图片", + "tools": [ + { + "type": "image_generation" + } + ] + }' +``` + +
+字段说明 +
+ +| 字段 | 说明 | +|:---------|:------------------------------| +| `model` | 响应中会回显该模型字段，但图片生成当前仍走图片生成兼容逻辑 | +| `input` | 输入内容，需要能解析出图片生成提示词 | +| `tools` | 必须包含 `image_generation` 工具请求 | +| `stream` | 已实现，但仍在测试 | + +
+
+
+ +## 社区支持 + +学 AI , 上 L 站：[LinuxDO](https://linux.do) + +## Contributors + +感谢所有为本项目做出贡献的开发者： + + + Contributors + + +## Star History + +[![Star History Chart](https://api.star-history.com/chart?repos=basketikun/chatgpt2api&type=date&legend=top-left)](https://www.star-history.com/?repos=basketikun%2Fchatgpt2api&type=date&legend=top-left) diff --git a/VERSION b/VERSION new file mode 100644 index 0000000000000000000000000000000000000000..e21e727f96fa5a19a233d5260fd3ba4f6ed3837c --- /dev/null +++ b/VERSION @@ -0,0 +1 @@ +1.4.0 \ No newline at end of file diff --git a/api/__init__.py b/api/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..61876d2267671fabdae957b537f7cdedec15c905 --- /dev/null +++ b/api/__init__.py @@ -0,0 +1,2 @@ +from api.app import create_app + diff --git a/api/accounts.py b/api/accounts.py new file mode 100644 index 0000000000000000000000000000000000000000..ae2906d31161a762fafecc6a1c52fec2619e7abb --- /dev/null +++ b/api/accounts.py @@ -0,0 +1,537 @@ +from __future__ import annotations + +import asyncio +import io +import json +import re +import uuid +import zipfile +from datetime import datetime +from typing import Any, Literal + +from fastapi import APIRouter, Header, HTTPException +from fastapi.concurrency import run_in_threadpool +from fastapi.responses import Response +from pydantic import BaseModel, Field + +from services.auth_service import auth_service + +from api.support import ( + require_admin, + sanitize_cpa_pool, + sanitize_cpa_pools, + sanitize_sub2api_server, + sanitize_sub2api_servers, +) +from services.account_service import account_service +from services.cpa_service import cpa_config, cpa_import_service, list_remote_files +from services.oauth_login_service import OAuthLoginError, oauth_login_service +from services.sub2api_service import ( + list_remote_accounts as sub2api_list_remote_accounts, + list_remote_groups as sub2api_list_remote_groups, + sub2api_config, + sub2api_import_service, +) + + + +class UserKeyCreateRequest(BaseModel): + name: str = "" + + +class UserKeyUpdateRequest(BaseModel): + name: str | None = None + enabled: bool | None = None + key: str | None = None + + +class AccountCreateRequest(BaseModel): + tokens: list[str] = Field(default_factory=list) + accounts: list[dict[str, Any]] = Field(default_factory=list) + + +class AccountDeleteRequest(BaseModel): + tokens: list[str] = Field(default_factory=list) + + +class AccountRefreshRequest(BaseModel): + access_tokens: list[str] = Field(default_factory=list) + + +class AccountExportRequest(BaseModel): + access_tokens: list[str] = Field(default_factory=list) + format: Literal["json", "zip"] = "json" + + +class AccountUpdateRequest(BaseModel): + access_token: str = "" + type: str | None = None + status: str | None = None + quota: int | None = None + proxy: str | None = None + + +class CPAPoolCreateRequest(BaseModel): + name: str = "" + base_url: str = "" + secret_key: str = "" + + +class CPAPoolUpdateRequest(BaseModel): + name: str | None = None + base_url: str | None = None + secret_key: str | None = None + + +class CPAImportRequest(BaseModel): + names: list[str] = Field(default_factory=list) + + +class Sub2APIServerCreateRequest(BaseModel): + name: str = "" + base_url: str = "" + email: str = "" + password: str = "" + api_key: str = "" + group_id: str = "" + + +class Sub2APIServerUpdateRequest(BaseModel): + name: str | None = None + base_url: str | None = None + email: str | None = None + password: str | None = None + api_key: str | None = None + group_id: str | None = None + + +class Sub2APIImportRequest(BaseModel): + account_ids: list[str] = Field(default_factory=list) + + +class OAuthLoginStartRequest(BaseModel): + """起始 OAuth 桥。email_hint 可选，仅用于让 OpenAI 登录页预填邮箱。""" + email_hint: str = "" + + +class OAuthLoginFinishRequest(BaseModel): + """提交 callback。callback 既可以是完整 URL 也可以只填 code。""" + session_id: str = "" + callback: str = "" + + +def _account_payload_token(item: dict[str, Any]) -> str: + return str(item.get("access_token") or item.get("accessToken") or "").strip() + + +def _unique_tokens(tokens: list[str]) -> list[str]: + return list(dict.fromkeys(str(token or "").strip() for token in tokens if str(token or "").strip())) + + +def _download_timestamp() -> str: + return datetime.now().strftime("%Y%m%d-%H%M%S") + + +def _safe_export_name(value: str, fallback: str) -> str: + clean = re.sub(r"[^A-Za-z0-9._-]+", "-", value.strip()).strip("-._") + return (clean or fallback)[:80] + + +def _account_zip_bytes(items: list[dict[str, str]]) -> bytes: + buf = io.BytesIO() + used_names: set[str] = set() + with zipfile.ZipFile(buf, "w", zipfile.ZIP_DEFLATED) as archive: + for index, item in enumerate(items, start=1): + raw_name = item.get("email") or item.get("account_id") or f"account-{index:03d}" + base_name = _safe_export_name(raw_name, f"account-{index:03d}") + name = base_name + suffix = 2 + while name in used_names: + name = f"{base_name}-{suffix}" + suffix += 1 + used_names.add(name) + archive.writestr( + f"{name}.json", + json.dumps(item, ensure_ascii=False, indent=2) + "\n", + ) + return buf.getvalue() + + +def create_router() -> APIRouter: + router = APIRouter() + + @router.get("/api/auth/users") + async def list_user_keys(authorization: str | None = Header(default=None)): + require_admin(authorization) + return {"items": auth_service.list_keys(role="user")} + + @router.post("/api/auth/users") + async def create_user_key(body: UserKeyCreateRequest, authorization: str | None = Header(default=None)): + require_admin(authorization) + try: + item, raw_key = auth_service.create_key(role="user", name=body.name) + except ValueError as exc: + raise HTTPException(status_code=400, detail={"error": str(exc)}) from exc + return {"item": item, "key": raw_key, "items": auth_service.list_keys(role="user")} + + @router.post("/api/auth/users/{key_id}") + async def update_user_key( + key_id: str, + body: UserKeyUpdateRequest, + authorization: str | None = Header(default=None), + ): + require_admin(authorization) + updates = { + key: value + for key, value in { + "name": body.name, + "enabled": body.enabled, + "key": body.key, + }.items() + if value is not None + } + if not updates: + raise HTTPException(status_code=400, detail={"error": "还没有检测到改动，请修改后再保存"}) + try: + item = auth_service.update_key(key_id, updates, role="user") + except ValueError as exc: + raise HTTPException(status_code=400, detail={"error": str(exc)}) from exc + if item is None: + raise HTTPException(status_code=404, detail={"error": "这条用户密钥不存在，可能已经被删除"}) + return {"item": item, "items": auth_service.list_keys(role="user")} + + @router.delete("/api/auth/users/{key_id}") + async def delete_user_key(key_id: str, authorization: str | None = Header(default=None)): + require_admin(authorization) + if not auth_service.delete_key(key_id, role="user"): + raise HTTPException(status_code=404, detail={"error": "这条用户密钥不存在，可能已经被删除"}) + return {"items": auth_service.list_keys(role="user")} + + @router.get("/api/accounts") + async def get_accounts(authorization: str | None = Header(default=None)): + require_admin(authorization) + return {"items": account_service.list_accounts()} + + @router.post("/api/accounts") + async def create_accounts(body: AccountCreateRequest, authorization: str | None = Header(default=None)): + require_admin(authorization) + account_payloads = [item for item in body.accounts if isinstance(item, dict)] + payload_tokens = [_account_payload_token(item) for item in account_payloads] + tokens = _unique_tokens([*body.tokens, *payload_tokens]) + if not tokens: + raise HTTPException(status_code=400, detail={"error": "tokens is required"}) + if account_payloads: + result = account_service.add_account_items(account_payloads) + payload_token_set = set(_unique_tokens(payload_tokens)) + extra_tokens = [token for token in tokens if token not in payload_token_set] + if extra_tokens: + extra_result = account_service.add_accounts(extra_tokens) + result["added"] = int(result.get("added") or 0) + int(extra_result.get("added") or 0) + result["skipped"] = int(result.get("skipped") or 0) + int(extra_result.get("skipped") or 0) + else: + result = account_service.add_accounts(tokens) + refresh_result = account_service.refresh_accounts(tokens) + return { + **result, + "refreshed": refresh_result.get("refreshed", 0), + "errors": refresh_result.get("errors", []), + "items": refresh_result.get("items", result.get("items", [])), + } + + @router.delete("/api/accounts") + async def delete_accounts(body: AccountDeleteRequest, authorization: str | None = Header(default=None)): + require_admin(authorization) + tokens = [str(token or "").strip() for token in body.tokens if str(token or "").strip()] + if not tokens: + raise HTTPException(status_code=400, detail={"error": "tokens is required"}) + return account_service.delete_accounts(tokens) + + @router.post("/api/accounts/refresh") + async def refresh_accounts(body: AccountRefreshRequest, authorization: str | None = Header(default=None)): + require_admin(authorization) + access_tokens = [str(token or "").strip() for token in body.access_tokens if str(token or "").strip()] + if not access_tokens: + access_tokens = account_service.list_tokens() + if not access_tokens: + raise HTTPException(status_code=400, detail={"error": "access_tokens is required"}) + + progress_id = str(uuid.uuid4()) + + async def _do_refresh(): + try: + await run_in_threadpool(account_service.refresh_accounts, access_tokens, progress_id) + except Exception as e: + account_service.finish_refresh_progress(progress_id, error=str(e)) + + asyncio.create_task(_do_refresh()) + + return {"progress_id": progress_id} + + @router.get("/api/accounts/refresh/progress/{progress_id}") + async def get_refresh_progress(progress_id: str, authorization: str | None = Header(default=None)): + require_admin(authorization) + progress = account_service.get_refresh_progress(progress_id) + if progress is None: + raise HTTPException(status_code=404, detail={"error": "progress not found"}) + return progress + + @router.post("/api/accounts/re-login") + async def re_login_accounts(body: AccountRefreshRequest, authorization: str | None = Header(default=None)): + """对选中账号执行密码重新登录流程（密码登录→验证码登录→刷新token）。""" + require_admin(authorization) + access_tokens = [str(token or "").strip() for token in body.access_tokens if str(token or "").strip()] + if not access_tokens: + raise HTTPException(status_code=400, detail={"error": "access_tokens is required"}) + + progress_id = str(uuid.uuid4()) + + async def _do_relogin(): + try: + await run_in_threadpool(account_service.re_login_accounts, access_tokens, progress_id) + except Exception as e: + account_service.finish_relogin_progress(progress_id, error=str(e)) + + asyncio.create_task(_do_relogin()) + + return {"progress_id": progress_id} + + @router.get("/api/accounts/re-login/progress/{progress_id}") + async def get_relogin_progress(progress_id: str, authorization: str | None = Header(default=None)): + require_admin(authorization) + progress = account_service.get_relogin_progress(progress_id) + if progress is None: + raise HTTPException(status_code=404, detail={"error": "progress not found"}) + return progress + + @router.post("/api/accounts/export") + async def export_accounts(body: AccountExportRequest, authorization: str | None = Header(default=None)): + require_admin(authorization) + access_tokens = _unique_tokens(body.access_tokens) + items = account_service.build_export_items(access_tokens) + if not items: + raise HTTPException( + status_code=400, + detail={"error": "没有可导出的完整账号，需要同时有 access_token、refresh_token 和 id_token"}, + ) + + timestamp = _download_timestamp() + if body.format == "zip": + content = _account_zip_bytes(items) + return Response( + content, + media_type="application/zip", + headers={"Content-Disposition": f'attachment; filename="codex-accounts-{timestamp}.zip"'}, + ) + + payload: dict[str, str] | list[dict[str, str]] = items[0] if len(items) == 1 else items + return Response( + json.dumps(payload, ensure_ascii=False, indent=2) + "\n", + media_type="application/json", + headers={"Content-Disposition": f'attachment; filename="codex-accounts-{timestamp}.json"'}, + ) + + @router.post("/api/accounts/update") + async def update_account(body: AccountUpdateRequest, authorization: str | None = Header(default=None)): + require_admin(authorization) + access_token = str(body.access_token or "").strip() + if not access_token: + raise HTTPException(status_code=400, detail={"error": "access_token is required"}) + updates = {key: value for key, value in {"type": body.type, "status": body.status, "quota": body.quota, "proxy": body.proxy}.items() if value is not None} + if not updates: + raise HTTPException(status_code=400, detail={"error": "还没有检测到改动，请修改后再保存"}) + account = account_service.update_account(access_token, updates) + if account is None: + raise HTTPException(status_code=404, detail={"error": "account not found"}) + return {"item": account, "items": account_service.list_accounts()} + + @router.post("/api/accounts/oauth/start") + async def start_oauth_login( + body: OAuthLoginStartRequest, + authorization: str | None = Header(default=None), + ): + """登记一次 PKCE 会话，返回可让用户浏览器打开的 authorize URL。""" + require_admin(authorization) + try: + return await run_in_threadpool(oauth_login_service.start, body.email_hint) + except OAuthLoginError as exc: + raise HTTPException(status_code=400, detail={"error": str(exc)}) from exc + + @router.post("/api/accounts/oauth/finish") + async def finish_oauth_login( + body: OAuthLoginFinishRequest, + authorization: str | None = Header(default=None), + ): + """收用户从浏览器抓回的 callback URL / code，换出 token 三件套并落盘。""" + require_admin(authorization) + # 入参日志：截断敏感字段，仅保留前几位，方便排错而不泄密 + cb_preview = (body.callback or "")[:80] + sid_preview = (body.session_id or "")[:8] + print( + f"[oauth-login] finish called: session_id={sid_preview}..., callback_preview={cb_preview!r}", + flush=True, + ) + try: + tokens = await run_in_threadpool(oauth_login_service.finish, body.session_id, body.callback) + except OAuthLoginError as exc: + print(f"[oauth-login] finish rejected: {exc}", flush=True) + raise HTTPException(status_code=400, detail={"error": str(exc)}) from exc + + payload = { + "access_token": tokens["access_token"], + "refresh_token": tokens["refresh_token"], + "id_token": tokens["id_token"], + "source_type": "oauth_login", + } + add_result = await run_in_threadpool(account_service.add_account_items, [payload]) + refresh_result = await run_in_threadpool( + account_service.refresh_accounts, [tokens["access_token"]] + ) + return { + **add_result, + "refreshed": refresh_result.get("refreshed", 0), + "errors": refresh_result.get("errors", []), + "items": refresh_result.get("items", add_result.get("items", [])), + } + + @router.get("/api/cpa/pools") + async def list_cpa_pools(authorization: str | None = Header(default=None)): + require_admin(authorization) + return {"pools": sanitize_cpa_pools(cpa_config.list_pools())} + + @router.post("/api/cpa/pools") + async def create_cpa_pool(body: CPAPoolCreateRequest, authorization: str | None = Header(default=None)): + require_admin(authorization) + if not body.base_url.strip(): + raise HTTPException(status_code=400, detail={"error": "base_url is required"}) + if not body.secret_key.strip(): + raise HTTPException(status_code=400, detail={"error": "secret_key is required"}) + pool = cpa_config.add_pool(name=body.name, base_url=body.base_url, secret_key=body.secret_key) + return {"pool": sanitize_cpa_pool(pool), "pools": sanitize_cpa_pools(cpa_config.list_pools())} + + @router.post("/api/cpa/pools/{pool_id}") + async def update_cpa_pool(pool_id: str, body: CPAPoolUpdateRequest, authorization: str | None = Header(default=None)): + require_admin(authorization) + pool = cpa_config.update_pool(pool_id, body.model_dump(exclude_none=True)) + if pool is None: + raise HTTPException(status_code=404, detail={"error": "pool not found"}) + return {"pool": sanitize_cpa_pool(pool), "pools": sanitize_cpa_pools(cpa_config.list_pools())} + + @router.delete("/api/cpa/pools/{pool_id}") + async def delete_cpa_pool(pool_id: str, authorization: str | None = Header(default=None)): + require_admin(authorization) + if not cpa_config.delete_pool(pool_id): + raise HTTPException(status_code=404, detail={"error": "pool not found"}) + return {"pools": sanitize_cpa_pools(cpa_config.list_pools())} + + @router.get("/api/cpa/pools/{pool_id}/files") + async def cpa_pool_files(pool_id: str, authorization: str | None = Header(default=None)): + require_admin(authorization) + pool = cpa_config.get_pool(pool_id) + if pool is None: + raise HTTPException(status_code=404, detail={"error": "pool not found"}) + return {"pool_id": pool_id, "files": await run_in_threadpool(list_remote_files, pool)} + + @router.post("/api/cpa/pools/{pool_id}/import") + async def cpa_pool_import(pool_id: str, body: CPAImportRequest, authorization: str | None = Header(default=None)): + require_admin(authorization) + pool = cpa_config.get_pool(pool_id) + if pool is None: + raise HTTPException(status_code=404, detail={"error": "pool not found"}) + try: + job = cpa_import_service.start_import(pool, body.names) + except ValueError as exc: + raise HTTPException(status_code=400, detail={"error": str(exc)}) from exc + return {"import_job": job} + + @router.get("/api/cpa/pools/{pool_id}/import") + async def cpa_pool_import_progress(pool_id: str, authorization: str | None = Header(default=None)): + require_admin(authorization) + pool = cpa_config.get_pool(pool_id) + if pool is None: + raise HTTPException(status_code=404, detail={"error": "pool not found"}) + return {"import_job": pool.get("import_job")} + + @router.get("/api/sub2api/servers") + async def list_sub2api_servers(authorization: str | None = Header(default=None)): + require_admin(authorization) + return {"servers": sanitize_sub2api_servers(sub2api_config.list_servers())} + + @router.post("/api/sub2api/servers") + async def create_sub2api_server(body: Sub2APIServerCreateRequest, authorization: str | None = Header(default=None)): + require_admin(authorization) + if not body.base_url.strip(): + raise HTTPException(status_code=400, detail={"error": "base_url is required"}) + has_login = body.email.strip() and body.password.strip() + has_api_key = bool(body.api_key.strip()) + if not has_login and not has_api_key: + raise HTTPException(status_code=400, detail={"error": "email+password or api_key is required"}) + server = sub2api_config.add_server( + name=body.name, + base_url=body.base_url, + email=body.email, + password=body.password, + api_key=body.api_key, + group_id=body.group_id, + ) + return {"server": sanitize_sub2api_server(server), "servers": sanitize_sub2api_servers(sub2api_config.list_servers())} + + @router.post("/api/sub2api/servers/{server_id}") + async def update_sub2api_server(server_id: str, body: Sub2APIServerUpdateRequest, authorization: str | None = Header(default=None)): + require_admin(authorization) + server = sub2api_config.update_server(server_id, body.model_dump(exclude_none=True)) + if server is None: + raise HTTPException(status_code=404, detail={"error": "server not found"}) + return {"server": sanitize_sub2api_server(server), "servers": sanitize_sub2api_servers(sub2api_config.list_servers())} + + @router.delete("/api/sub2api/servers/{server_id}") + async def delete_sub2api_server(server_id: str, authorization: str | None = Header(default=None)): + require_admin(authorization) + if not sub2api_config.delete_server(server_id): + raise HTTPException(status_code=404, detail={"error": "server not found"}) + return {"servers": sanitize_sub2api_servers(sub2api_config.list_servers())} + + @router.get("/api/sub2api/servers/{server_id}/groups") + async def sub2api_server_groups(server_id: str, authorization: str | None = Header(default=None)): + require_admin(authorization) + server = sub2api_config.get_server(server_id) + if server is None: + raise HTTPException(status_code=404, detail={"error": "server not found"}) + try: + groups = await run_in_threadpool(sub2api_list_remote_groups, server) + except Exception as exc: + raise HTTPException(status_code=502, detail={"error": str(exc)}) from exc + return {"server_id": server_id, "groups": groups} + + @router.get("/api/sub2api/servers/{server_id}/accounts") + async def sub2api_server_accounts(server_id: str, authorization: str | None = Header(default=None)): + require_admin(authorization) + server = sub2api_config.get_server(server_id) + if server is None: + raise HTTPException(status_code=404, detail={"error": "server not found"}) + try: + accounts = await run_in_threadpool(sub2api_list_remote_accounts, server) + except Exception as exc: + raise HTTPException(status_code=502, detail={"error": str(exc)}) from exc + return {"server_id": server_id, "accounts": accounts} + + @router.post("/api/sub2api/servers/{server_id}/import") + async def sub2api_server_import(server_id: str, body: Sub2APIImportRequest, authorization: str | None = Header(default=None)): + require_admin(authorization) + server = sub2api_config.get_server(server_id) + if server is None: + raise HTTPException(status_code=404, detail={"error": "server not found"}) + try: + job = sub2api_import_service.start_import(server, body.account_ids) + except ValueError as exc: + raise HTTPException(status_code=400, detail={"error": str(exc)}) from exc + return {"import_job": job} + + @router.get("/api/sub2api/servers/{server_id}/import") + async def sub2api_server_import_progress(server_id: str, authorization: str | None = Header(default=None)): + require_admin(authorization) + server = sub2api_config.get_server(server_id) + if server is None: + raise HTTPException(status_code=404, detail={"error": "server not found"}) + return {"import_job": server.get("import_job")} + + return router diff --git a/api/ai.py b/api/ai.py new file mode 100644 index 0000000000000000000000000000000000000000..58c7dd9ca5d609e1719bb4974984231a534afcef --- /dev/null +++ b/api/ai.py @@ -0,0 +1,215 @@ +from __future__ import annotations + +from fastapi import APIRouter, Header, HTTPException, Request +from fastapi.concurrency import run_in_threadpool +from fastapi.responses import FileResponse +from pydantic import BaseModel, ConfigDict, Field + +from api.image_inputs import parse_image_edit_request, read_image_sources +from api.support import require_identity, resolve_image_base_url +from services.content_filter import check_request, request_shape, request_text +from services.editable_file_task_service import editable_file_task_service +from services.log_service import LoggedCall +from services.protocol import ( + anthropic_v1_messages, + openai_v1_chat_complete, + openai_v1_image_edit, + openai_v1_image_generations, + openai_v1_models, + openai_v1_response, + openai_search, +) + + +class ImageGenerationRequest(BaseModel): + prompt: str = Field(..., min_length=1) + model: str = "gpt-image-2" + n: int = Field(default=1, ge=1, le=4) + size: str | None = None + quality: str = "auto" + response_format: str = "b64_json" + history_disabled: bool = True + stream: bool | None = None + + +class ChatCompletionRequest(BaseModel): + model_config = ConfigDict(extra="allow") + model: str | None = None + prompt: str | None = None + n: int | None = None + stream: bool | None = None + modalities: list[str] | None = None + messages: list[dict[str, object]] | None = None + + +class ResponseCreateRequest(BaseModel): + model_config = ConfigDict(extra="allow") + model: str | None = None + input: object | None = None + tools: list[dict[str, object]] | None = None + tool_choice: object | None = None + stream: bool | None = None + + +class AnthropicMessageRequest(BaseModel): + model_config = ConfigDict(extra="allow") + model: str | None = None + messages: list[dict[str, object]] | None = None + system: object | None = None + stream: bool | None = None + + +class SearchRequest(BaseModel): + prompt: str = Field(..., min_length=1) + + +class EditableFileTaskRequest(BaseModel): + prompt: str = "" + base64_images: list[str] = Field(default_factory=list) + client_task_id: str | None = None + + +async def filter_or_log(call: LoggedCall, text: str) -> None: + try: + await run_in_threadpool(check_request, text) + except HTTPException as exc: + call.log("调用失败", status="failed", error=str(exc.detail)) + raise + + +def create_router() -> APIRouter: + router = APIRouter() + + @router.get("/v1/models") + async def list_models(authorization: str | None = Header(default=None)): + require_identity(authorization) + try: + return await run_in_threadpool(openai_v1_models.list_models) + except Exception as exc: + raise HTTPException(status_code=502, detail={"error": str(exc)}) from exc + + @router.post("/v1/images/generations") + async def generate_images( + body: ImageGenerationRequest, + request: Request, + authorization: str | None = Header(default=None), + ): + identity = require_identity(authorization) + payload = body.model_dump(mode="python") + payload["base_url"] = resolve_image_base_url(request) + call = LoggedCall(identity, "/v1/images/generations", body.model, "文生图", request_text=body.prompt) + await filter_or_log(call, body.prompt) + return await call.run(openai_v1_image_generations.handle, payload) + + @router.post("/v1/images/edits") + async def edit_images( + request: Request, + authorization: str | None = Header(default=None), + ): + identity = require_identity(authorization) + payload, image_sources = await parse_image_edit_request(request) + prompt = str(payload["prompt"]) + model = str(payload["model"]) + call = LoggedCall(identity, "/v1/images/edits", model, "图生图", request_text=prompt) + await filter_or_log(call, prompt) + payload["images"] = await read_image_sources(image_sources) + payload["base_url"] = resolve_image_base_url(request) + return await call.run(openai_v1_image_edit.handle, payload) + + @router.post("/v1/chat/completions") + async def create_chat_completion(body: ChatCompletionRequest, authorization: str | None = Header(default=None)): + identity = require_identity(authorization) + payload = body.model_dump(mode="python") + model = str(payload.get("model") or "auto") + request_preview = request_text(payload.get("prompt"), payload.get("messages")) + call = LoggedCall( + identity, + "/v1/chat/completions", + model, + "文本生成", + request_text=request_preview, + request_shape=request_shape(payload.get("messages")), + ) + await filter_or_log(call, request_preview) + return await call.run(openai_v1_chat_complete.handle, payload) + + @router.post("/v1/responses") + async def create_response(body: ResponseCreateRequest, authorization: str | None = Header(default=None)): + identity = require_identity(authorization) + payload = body.model_dump(mode="python") + model = str(payload.get("model") or "auto") + request_preview = request_text(payload.get("input"), payload.get("instructions")) + call = LoggedCall( + identity, + "/v1/responses", + model, + "Responses", + request_text=request_preview, + request_shape=request_shape(payload.get("input")), + ) + await filter_or_log(call, request_preview) + return await call.run(openai_v1_response.handle, payload) + + @router.post("/v1/messages") + async def create_message( + body: AnthropicMessageRequest, + authorization: str | None = Header(default=None), + x_api_key: str | None = Header(default=None, alias="x-api-key"), + anthropic_version: str | None = Header(default=None, alias="anthropic-version"), + ): + identity = require_identity(authorization or (f"Bearer {x_api_key}" if x_api_key else None)) + payload = body.model_dump(mode="python") + model = str(payload.get("model") or "auto") + request_preview = request_text(payload.get("system"), payload.get("messages"), payload.get("tools")) + call = LoggedCall(identity, "/v1/messages", model, "Messages", request_text=request_preview) + await filter_or_log(call, request_preview) + return await call.run(anthropic_v1_messages.handle, payload, sse="anthropic") + + @router.post("/v1/search") + async def search(body: SearchRequest, authorization: str | None = Header(default=None)): + identity = require_identity(authorization) + call = LoggedCall(identity, "/v1/search", openai_search.MODEL, "搜索", request_text=body.prompt) + await filter_or_log(call, body.prompt) + return await call.run(openai_search.handle, body.model_dump(mode="python")) + + @router.get("/v1/editable-file-tasks") + async def list_editable_file_tasks(ids: str = "", authorization: str | None = Header(default=None)): + identity = require_identity(authorization) + task_ids = [item.strip() for item in ids.split(",") if item.strip()] + return await run_in_threadpool(editable_file_task_service.list_tasks, identity, task_ids) + + @router.get("/files/{file_path:path}") + async def download_editable_file(file_path: str): + try: + path = await run_in_threadpool(editable_file_task_service.public_file_path, file_path) + except Exception as exc: + raise HTTPException(status_code=404, detail={"error": "file not found"}) from exc + return FileResponse(path, filename=path.name) + + @router.post("/v1/ppt/generations") + async def create_ppt_task(body: EditableFileTaskRequest, request: Request, authorization: str | None = Header(default=None)): + identity = require_identity(authorization) + await filter_or_log(LoggedCall(identity, "/v1/ppt/generations", "gpt-5-5-thinking", "PPT生成任务", request_text=body.prompt), body.prompt) + return await run_in_threadpool( + editable_file_task_service.submit_ppt, + identity, + client_task_id=body.client_task_id or "", + prompt=body.prompt, + base64_images=body.base64_images, + base_url=resolve_image_base_url(request), + ) + + @router.post("/v1/psd/generations") + async def create_psd_task(body: EditableFileTaskRequest, request: Request, authorization: str | None = Header(default=None)): + identity = require_identity(authorization) + await filter_or_log(LoggedCall(identity, "/v1/psd/generations", "gpt-5-5-thinking", "PSD生成任务", request_text=body.prompt), body.prompt) + return await run_in_threadpool( + editable_file_task_service.submit_psd, + identity, + client_task_id=body.client_task_id or "", + prompt=body.prompt, + base64_images=body.base64_images, + base_url=resolve_image_base_url(request), + ) + + return router diff --git a/api/app.py b/api/app.py new file mode 100644 index 0000000000000000000000000000000000000000..18f7bb1109e28e9690f9b9e6f5427090c49cfb0b --- /dev/null +++ b/api/app.py @@ -0,0 +1,63 @@ +from __future__ import annotations + +from contextlib import asynccontextmanager +from threading import Event + +from fastapi import FastAPI, HTTPException +from fastapi.middleware.cors import CORSMiddleware +from fastapi.responses import FileResponse + +from api import accounts, ai, image_tasks, register, system +from api.errors import install_exception_handlers +from api.support import resolve_web_asset, start_limited_account_watcher +from services.backup_service import backup_service +from services.config import config +from services.image_service import start_image_cleanup_scheduler + + +def create_app() -> FastAPI: + app_version = config.app_version + + @asynccontextmanager + async def lifespan(_: FastAPI): + stop_event = Event() + thread = start_limited_account_watcher(stop_event) + cleanup_thread = start_image_cleanup_scheduler(stop_event) + backup_service.start() + config.cleanup_old_images() + try: + yield + finally: + stop_event.set() + thread.join(timeout=1) + cleanup_thread.join(timeout=1) + backup_service.stop() + + app = FastAPI(title="chatgpt2api", version=app_version, lifespan=lifespan) + install_exception_handlers(app) + app.add_middleware( + CORSMiddleware, + allow_origins=["*"], + allow_credentials=False, + allow_methods=["*"], + allow_headers=["*"], + ) + app.include_router(ai.create_router()) + app.include_router(accounts.create_router()) + app.include_router(image_tasks.create_router()) + app.include_router(register.create_router()) + app.include_router(system.create_router(app_version)) + + @app.get("/{full_path:path}", include_in_schema=False) + async def serve_web(full_path: str): + asset = resolve_web_asset(full_path) + if asset is not None: + return FileResponse(asset) + if full_path.strip("/").startswith("_next/"): + raise HTTPException(status_code=404, detail="Not Found") + fallback = resolve_web_asset("") + if fallback is None: + raise HTTPException(status_code=404, detail="Not Found") + return FileResponse(fallback) + + return app diff --git a/api/errors.py b/api/errors.py new file mode 100644 index 0000000000000000000000000000000000000000..6ffd46e07ae96ce9debb68ae841f0f37983b91d0 --- /dev/null +++ b/api/errors.py @@ -0,0 +1,46 @@ +from __future__ import annotations + +from fastapi import FastAPI, Request +from fastapi.encoders import jsonable_encoder +from fastapi.exceptions import RequestValidationError +from fastapi.responses import JSONResponse +from starlette.exceptions import HTTPException as StarletteHTTPException + +from services.protocol.error_response import anthropic_error_response, openai_error_response + + +def _is_openai_compatible_path(path: str) -> bool: + return path == "/v1" or path.startswith("/v1/") + + +def _is_anthropic_messages_path(path: str) -> bool: + return path == "/v1/messages" + + +def _compatible_error_response( + request: Request, + detail: object, + status_code: int, + headers: dict[str, str] | None = None, +) -> JSONResponse: + if _is_anthropic_messages_path(request.url.path): + return anthropic_error_response(detail, status_code, headers=headers) + return openai_error_response(detail, status_code, headers=headers) + + +def install_exception_handlers(app: FastAPI) -> None: + @app.exception_handler(StarletteHTTPException) + async def http_exception_handler(request: Request, exc: StarletteHTTPException) -> JSONResponse: + if _is_openai_compatible_path(request.url.path): + return _compatible_error_response(request, exc.detail, exc.status_code, exc.headers) + return JSONResponse( + status_code=exc.status_code, + content={"detail": jsonable_encoder(exc.detail)}, + headers=exc.headers, + ) + + @app.exception_handler(RequestValidationError) + async def validation_exception_handler(request: Request, exc: RequestValidationError) -> JSONResponse: + if _is_openai_compatible_path(request.url.path): + return _compatible_error_response(request, exc.errors(), 422) + return JSONResponse(status_code=422, content={"detail": jsonable_encoder(exc.errors())}) diff --git a/api/image_inputs.py b/api/image_inputs.py new file mode 100644 index 0000000000000000000000000000000000000000..31af6e08249243f4703f73a219da23bcd1460e86 --- /dev/null +++ b/api/image_inputs.py @@ -0,0 +1,294 @@ +from __future__ import annotations + +import base64 +import binascii +import json +import mimetypes +import re +from pathlib import PurePosixPath +from typing import Any, TypeGuard +from urllib.parse import unquote, unquote_to_bytes, urlparse + +from curl_cffi import requests +from fastapi import HTTPException, Request +from fastapi.concurrency import run_in_threadpool +from starlette.datastructures import UploadFile + +from services.proxy_service import proxy_settings + +ImageInput = tuple[bytes, str, str] +ImageSource = str | UploadFile | ImageInput + +MAX_IMAGE_REFERENCE_BYTES = 50 * 1024 * 1024 +IMAGE_REFERENCE_FIELDS = {"image", "image[]", "images", "images[]", "image_url", "image_url[]"} + + +def _clean(value: object, default: str = "") -> str: + """清理字符串：转换为字符串并去掉首尾空白。""" + text = str(value if value is not None else default).strip() + return text or default + + +def _is_upload(value: object) -> TypeGuard[UploadFile]: + """识别上传文件：兼容 Starlette 表单返回的 UploadFile。""" + return isinstance(value, UploadFile) + + +def _parse_bool(value: object) -> bool | None: + """解析布尔字段：兼容 JSON 布尔值和表单字符串。""" + if value is None or value == "": + return None + if isinstance(value, bool): + return value + text = _clean(value).lower() + if text in {"true", "1", "yes", "y", "on"}: + return True + if text in {"false", "0", "no", "n", "off"}: + return False + raise HTTPException(status_code=400, detail={"error": "stream must be a boolean"}) + + +def _parse_count(value: object) -> int: + """解析生成数量：保持图片接口的 1 到 4 限制。""" + try: + count = int(value or 1) + except (TypeError, ValueError) as exc: + raise HTTPException(status_code=400, detail={"error": "n must be an integer"}) from exc + if count < 1 or count > 4: + raise HTTPException(status_code=400, detail={"error": "n must be between 1 and 4"}) + return count + + +def _payload_from_fields(fields: dict[str, Any]) -> dict[str, Any]: + """构造图片编辑载荷：从表单或 JSON 字段提取通用参数。""" + prompt = _clean(fields.get("prompt")) + if not prompt: + raise HTTPException(status_code=400, detail={"error": "prompt is required"}) + payload = { + "prompt": prompt, + "model": _clean(fields.get("model"), "gpt-image-2"), + "n": _parse_count(fields.get("n")), + "size": _clean(fields.get("size")) or None, + "quality": _clean(fields.get("quality"), "auto"), + "response_format": _clean(fields.get("response_format"), "b64_json"), + "stream": _parse_bool(fields.get("stream")), + } + if "client_task_id" in fields: + payload["client_task_id"] = _clean(fields.get("client_task_id")) + return payload + + +def _json_reference_value(value: object) -> object: + """解析表单图片引用：支持把 images 字段写成 JSON 字符串。""" + if not isinstance(value, str): + return value + text = value.strip() + if not text or text[0] not in "[{": + return value + try: + return json.loads(text) + except json.JSONDecodeError: + return value + + +def _decode_base64_image(value: object, filename: str, mime_type: str) -> ImageInput: + try: + data = base64.b64decode(str(value).strip(), validate=True) + except (binascii.Error, ValueError) as exc: + raise HTTPException(status_code=400, detail={"error": "invalid base64 image data"}) from exc + if not data: + raise HTTPException(status_code=400, detail={"error": "image file is empty"}) + if len(data) > MAX_IMAGE_REFERENCE_BYTES: + raise HTTPException(status_code=400, detail={"error": "image URL exceeds 50MB limit"}) + return data, filename, mime_type + + +def _source_from_object(value: dict[str, Any]) -> list[ImageSource]: + """提取图片引用对象：支持 image_url 或 url，明确拒绝 file_id。""" + has_url = "image_url" in value or "url" in value + if value.get("file_id"): + raise HTTPException( + status_code=400, + detail={"error": "file_id image references are not supported; use image_url instead"}, + ) + inline = value.get("b64_json") or value.get("base64") + if inline: + filename = _clean(value.get("filename") or value.get("file_name"), "image.png") + mime_type = _clean(value.get("mime_type") or value.get("mimeType"), "image/png") + return [_decode_base64_image(inline, filename, mime_type)] + if not has_url: + raise HTTPException(status_code=400, detail={"error": "image reference must include image_url"}) + image_url = value.get("image_url", value.get("url")) + if isinstance(image_url, dict): + image_url = image_url.get("url") + return _sources_from_value(image_url) + + +def _sources_from_value(value: object) -> list[ImageSource]: + """展开图片引用：把字符串、数组和对象统一成图片来源列表。""" + value = _json_reference_value(value) + if _is_upload(value): + return [value] + if isinstance(value, str): + text = value.strip() + if not text: + return [] + if text.lower().startswith(("data:", "http://", "https://")): + return [text] + return [_decode_base64_image(text, "image.png", "image/png")] + if isinstance(value, list): + sources: list[ImageSource] = [] + for item in value: + sources.extend(_sources_from_value(item)) + return sources + if isinstance(value, dict): + return _source_from_object(value) + if value is None: + return [] + raise HTTPException(status_code=400, detail={"error": "invalid image reference"}) + + +def _json_image_sources(body: dict[str, Any]) -> list[ImageSource]: + """读取 JSON 图片引用：优先支持官方 images 数组字段。""" + sources: list[ImageSource] = [] + for key in ("images", "image", "image_url"): + if key in body: + sources.extend(_sources_from_value(body.get(key))) + return sources + + +async def parse_image_edit_request(request: Request) -> tuple[dict[str, Any], list[ImageSource]]: + """解析图片编辑请求：同时支持 multipart 上传和官方 JSON 图片 URL。""" + content_type = request.headers.get("content-type", "").split(";", 1)[0].strip().lower() + if content_type == "application/json": + try: + body = await request.json() + except json.JSONDecodeError as exc: + raise HTTPException(status_code=400, detail={"error": "invalid JSON body"}) from exc + if not isinstance(body, dict): + raise HTTPException(status_code=400, detail={"error": "JSON body must be an object"}) + return _payload_from_fields(body), _json_image_sources(body) + + form = await request.form() + fields: dict[str, Any] = {} + for key in ("client_task_id", "prompt", "model", "n", "size", "quality", "response_format", "stream"): + value = form.get(key) + if isinstance(value, str): + fields[key] = value + sources: list[ImageSource] = [] + for key, value in form.multi_items(): + if key in IMAGE_REFERENCE_FIELDS: + sources.extend(_sources_from_value(value)) + return _payload_from_fields(fields), sources + + +def _extension_from_mime(mime_type: str) -> str: + """推导图片扩展名：把 MIME 类型转换为常见文件后缀。""" + subtype = mime_type.split("/", 1)[1].split("+", 1)[0] if "/" in mime_type else "png" + if subtype == "jpeg": + return "jpg" + return re.sub(r"[^a-z0-9]+", "", subtype.lower()) or "png" + + +def _safe_filename(name: str, mime_type: str, fallback: str) -> str: + """生成安全文件名：清理 URL 文件名并补齐扩展名。""" + cleaned = re.sub(r"[^A-Za-z0-9._-]+", "_", name).strip("._") + if not cleaned: + cleaned = fallback + if "." not in cleaned: + cleaned = f"{cleaned}.{_extension_from_mime(mime_type)}" + return cleaned + + +def _decode_data_url(url: str) -> ImageInput: + """解码 data URL：把内联图片转成标准图片输入元组。""" + header, separator, payload = url.partition(",") + if not separator: + raise HTTPException(status_code=400, detail={"error": "invalid data image URL"}) + mime_type = header.split(";", 1)[0].removeprefix("data:") or "image/png" + if not mime_type.startswith("image/"): + raise HTTPException(status_code=400, detail={"error": "image_url must point to an image"}) + try: + data = base64.b64decode(payload, validate=True) if ";base64" in header else unquote_to_bytes(payload) + except (binascii.Error, ValueError) as exc: + raise HTTPException(status_code=400, detail={"error": "invalid data image URL"}) from exc + if not data: + raise HTTPException(status_code=400, detail={"error": "image URL is empty"}) + if len(data) > MAX_IMAGE_REFERENCE_BYTES: + raise HTTPException(status_code=400, detail={"error": "image URL exceeds 50MB limit"}) + return data, f"image_url.{_extension_from_mime(mime_type)}", mime_type + + +def _response_mime_type(response: requests.Response, parsed_path: str) -> str: + """识别下载图片类型：优先响应头，必要时按 URL 后缀推断。""" + header_type = str(response.headers.get("content-type") or "").split(";", 1)[0].strip().lower() + guessed_type = mimetypes.guess_type(parsed_path)[0] or "" + if header_type.startswith("image/"): + return header_type + if header_type and header_type not in {"application/octet-stream", "binary/octet-stream"}: + raise HTTPException(status_code=400, detail={"error": "image_url must point to an image"}) + if guessed_type.startswith("image/"): + return guessed_type + if not header_type or header_type in {"application/octet-stream", "binary/octet-stream"}: + return "image/png" + raise HTTPException(status_code=400, detail={"error": "image_url must point to an image"}) + + +def _filename_from_url(parsed_path: str, mime_type: str) -> str: + """生成 URL 图片文件名：从链接路径提取名称并做安全化。""" + raw_name = PurePosixPath(unquote(parsed_path)).name + return _safe_filename(raw_name, mime_type, "image_url") + + +def _download_image_url(url: str) -> ImageInput: + """下载远程图片：把 http/https 图片链接转成标准图片输入元组。""" + source = _clean(url) + if source.startswith("data:"): + return _decode_data_url(source) + parsed = urlparse(source) + if parsed.scheme not in {"http", "https"} or not parsed.netloc: + raise HTTPException(status_code=400, detail={"error": "image_url must be an http or https URL"}) + try: + response = requests.get( + source, + headers={"Accept": "image/*,*/*;q=0.8", "User-Agent": "chatgpt2api image fetcher"}, + timeout=60, + allow_redirects=True, + **proxy_settings.build_session_kwargs(), + ) + except Exception as exc: + raise HTTPException(status_code=400, detail={"error": f"image_url fetch failed: {exc}"}) from exc + if not 200 <= response.status_code < 300: + raise HTTPException(status_code=400, detail={"error": f"image_url fetch failed: HTTP {response.status_code}"}) + content_length = _clean(response.headers.get("content-length")) + if content_length and content_length.isdigit() and int(content_length) > MAX_IMAGE_REFERENCE_BYTES: + raise HTTPException(status_code=400, detail={"error": "image_url exceeds 50MB limit"}) + data = response.content + if not data: + raise HTTPException(status_code=400, detail={"error": "image_url returned empty content"}) + if len(data) > MAX_IMAGE_REFERENCE_BYTES: + raise HTTPException(status_code=400, detail={"error": "image_url exceeds 50MB limit"}) + mime_type = _response_mime_type(response, parsed.path) + return data, _filename_from_url(parsed.path, mime_type), mime_type + + +async def read_image_sources(sources: list[ImageSource]) -> list[ImageInput]: + """读取图片来源：上传文件直接读取，URL 下载后统一返回图片元组。""" + images: list[ImageInput] = [] + for source in sources: + if isinstance(source, tuple): + images.append(source) + continue + if _is_upload(source): + try: + image_data = await source.read() + finally: + await source.close() + if not image_data: + raise HTTPException(status_code=400, detail={"error": "image file is empty"}) + images.append((image_data, source.filename or "image.png", source.content_type or "image/png")) + continue + images.append(await run_in_threadpool(_download_image_url, source)) + if not images: + raise HTTPException(status_code=400, detail={"error": "image file or image_url is required"}) + return images diff --git a/api/image_tasks.py b/api/image_tasks.py new file mode 100644 index 0000000000000000000000000000000000000000..530913b8369ab28beefa375108064925c63f7b74 --- /dev/null +++ b/api/image_tasks.py @@ -0,0 +1,118 @@ +from __future__ import annotations + +from fastapi import APIRouter, Header, HTTPException, Query, Request +from fastapi.concurrency import run_in_threadpool +from pydantic import BaseModel, Field + +from api.image_inputs import parse_image_edit_request, read_image_sources +from api.support import require_identity, resolve_image_base_url +from services.content_filter import check_request +from services.image_task_service import image_task_service +from services.log_service import LoggedCall + + +class ImageGenerationTaskRequest(BaseModel): + client_task_id: str = Field(..., min_length=1) + prompt: str = Field(..., min_length=1) + model: str = "gpt-image-2" + size: str | None = None + quality: str = "auto" + + +class ResumePollRequest(BaseModel): + extra_timeout_secs: float = Field(default=30.0, ge=5.0, le=120.0) + + +def _parse_task_ids(value: str) -> list[str]: + return [item.strip() for item in value.split(",") if item.strip()] + + +async def filter_or_log(call: LoggedCall, text: str) -> None: + try: + await run_in_threadpool(check_request, text) + except HTTPException as exc: + call.log("调用失败", status="failed", error=str(exc.detail)) + raise + + +def create_router() -> APIRouter: + router = APIRouter() + + @router.get("/api/image-tasks") + async def list_image_tasks( + ids: str = Query(default=""), + authorization: str | None = Header(default=None), + ): + identity = require_identity(authorization) + return await run_in_threadpool(image_task_service.list_tasks, identity, _parse_task_ids(ids)) + + @router.post("/api/image-tasks/generations") + async def create_generation_task( + body: ImageGenerationTaskRequest, + request: Request, + authorization: str | None = Header(default=None), + ): + identity = require_identity(authorization) + await filter_or_log(LoggedCall(identity, "/api/image-tasks/generations", body.model, "文生图任务", request_text=body.prompt), body.prompt) + try: + return await run_in_threadpool( + image_task_service.submit_generation, + identity, + client_task_id=body.client_task_id, + prompt=body.prompt, + model=body.model, + size=body.size, + quality=body.quality, + base_url=resolve_image_base_url(request), + ) + except ValueError as exc: + raise HTTPException(status_code=400, detail={"error": str(exc)}) from exc + + @router.post("/api/image-tasks/edits") + async def create_edit_task( + request: Request, + authorization: str | None = Header(default=None), + ): + identity = require_identity(authorization) + payload, image_sources = await parse_image_edit_request(request) + client_task_id = str(payload.get("client_task_id") or "").strip() + if not client_task_id: + raise HTTPException(status_code=400, detail={"error": "client_task_id is required"}) + prompt = str(payload["prompt"]) + model = str(payload["model"]) + await filter_or_log(LoggedCall(identity, "/api/image-tasks/edits", model, "图生图任务", request_text=prompt), prompt) + images = await read_image_sources(image_sources) + try: + return await run_in_threadpool( + image_task_service.submit_edit, + identity, + client_task_id=client_task_id, + prompt=prompt, + model=model, + size=payload["size"], + quality=payload["quality"], + base_url=resolve_image_base_url(request), + images=images, + ) + except ValueError as exc: + raise HTTPException(status_code=400, detail={"error": str(exc)}) from exc + + @router.post("/api/image-tasks/{task_id}/resume-poll") + async def resume_image_poll( + task_id: str, + body: ResumePollRequest, + request: Request, + authorization: str | None = Header(default=None), + ): + identity = require_identity(authorization) + try: + return await run_in_threadpool( + image_task_service.resume_poll, + identity, + task_id, + body.extra_timeout_secs, + ) + except ValueError as exc: + raise HTTPException(status_code=400, detail={"error": str(exc)}) from exc + + return router diff --git a/api/register.py b/api/register.py new file mode 100644 index 0000000000000000000000000000000000000000..859e1a21701b986e7bcaf6ed2315500d1bcc4eda --- /dev/null +++ b/api/register.py @@ -0,0 +1,68 @@ +from __future__ import annotations + +import asyncio +import json + +from fastapi import APIRouter, Header +from fastapi.responses import StreamingResponse +from pydantic import BaseModel + +from api.support import require_admin +from services.register_service import register_service + + +class RegisterConfigRequest(BaseModel): + mail: dict | None = None + proxy: str | None = None + total: int | None = None + threads: int | None = None + mode: str | None = None + target_quota: int | None = None + target_available: int | None = None + check_interval: int | None = None + + +def create_router() -> APIRouter: + router = APIRouter() + + @router.get("/api/register") + async def get_register_config(authorization: str | None = Header(default=None)): + require_admin(authorization) + return {"register": register_service.get()} + + @router.post("/api/register") + async def update_register_config(body: RegisterConfigRequest, authorization: str | None = Header(default=None)): + require_admin(authorization) + return {"register": register_service.update(body.model_dump(exclude_none=True))} + + @router.post("/api/register/start") + async def start_register(authorization: str | None = Header(default=None)): + require_admin(authorization) + return {"register": register_service.start()} + + @router.post("/api/register/stop") + async def stop_register(authorization: str | None = Header(default=None)): + require_admin(authorization) + return {"register": register_service.stop()} + + @router.post("/api/register/reset") + async def reset_register(authorization: str | None = Header(default=None)): + require_admin(authorization) + return {"register": register_service.reset()} + + @router.get("/api/register/events") + async def register_events(token: str = ""): + require_admin(f"Bearer {token}") + + async def stream(): + last = "" + while True: + payload = json.dumps(register_service.get(), ensure_ascii=False) + if payload != last: + last = payload + yield f"data: {payload}\n\n" + await asyncio.sleep(0.5) + + return StreamingResponse(stream(), media_type="text/event-stream") + + return router diff --git a/api/support.py b/api/support.py new file mode 100644 index 0000000000000000000000000000000000000000..0132da00eaa50703455f7eb668900a176c372896 --- /dev/null +++ b/api/support.py @@ -0,0 +1,132 @@ +from __future__ import annotations + +from pathlib import Path +from threading import Event, Thread + +from fastapi import HTTPException, Request + +from services.account_service import account_service +from services.auth_service import auth_service +from services.config import config + +BASE_DIR = Path(__file__).resolve().parents[1] +WEB_DIST_DIR = BASE_DIR / "web_dist" + + +def extract_bearer_token(authorization: str | None) -> str: + scheme, _, value = str(authorization or "").partition(" ") + if scheme.lower() != "bearer" or not value.strip(): + return "" + return value.strip() + + +def _legacy_admin_identity(token: str) -> dict[str, object] | None: + auth_key = str(config.auth_key or "").strip() + if auth_key and token == auth_key: + return {"id": "admin", "name": "管理员", "role": "admin"} + return None + + +def require_identity(authorization: str | None) -> dict[str, object]: + token = extract_bearer_token(authorization) + identity = _legacy_admin_identity(token) or auth_service.authenticate(token) + if identity is None: + raise HTTPException(status_code=401, detail={"error": "密钥无效或已失效，请重新登录"}) + return identity + + +def require_auth_key(authorization: str | None) -> None: + require_identity(authorization) + + +def require_admin(authorization: str | None) -> dict[str, object]: + identity = require_identity(authorization) + if identity.get("role") != "admin": + raise HTTPException(status_code=403, detail={"error": "需要管理员权限才能执行这个操作"}) + return identity + + +def resolve_image_base_url(request: Request) -> str: + return config.base_url or f"{request.url.scheme}://{request.headers.get('host', request.url.netloc)}" + + +def raise_image_quota_error(exc: Exception) -> None: + message = str(exc) + if "no available image quota" in message.lower(): + raise HTTPException(status_code=429, detail={"error": "no available image quota"}) from exc + raise HTTPException(status_code=502, detail={"error": message}) from exc + + +def sanitize_cpa_pool(pool: dict | None) -> dict | None: + if not isinstance(pool, dict): + return None + return {key: value for key, value in pool.items() if key != "secret_key"} + + +def sanitize_cpa_pools(pools: list[dict]) -> list[dict]: + return [sanitized for pool in pools if (sanitized := sanitize_cpa_pool(pool)) is not None] + + +def sanitize_sub2api_server(server: dict | None) -> dict | None: + if not isinstance(server, dict): + return None + sanitized = {key: value for key, value in server.items() if key not in {"password", "api_key"}} + sanitized["has_api_key"] = bool(str(server.get("api_key") or "").strip()) + return sanitized + + +def sanitize_sub2api_servers(servers: list[dict]) -> list[dict]: + return [sanitized for server in servers if (sanitized := sanitize_sub2api_server(server)) is not None] + + +def start_limited_account_watcher(stop_event: Event) -> Thread: + interval_seconds = config.refresh_account_interval_minute * 60 + + def worker() -> None: + while not stop_event.is_set(): + try: + limited_tokens = account_service.list_limited_tokens() + expiring_tokens = account_service.list_expiring_access_tokens() + keepalive_tokens = account_service.list_refresh_token_keepalive_tokens() + tokens = list(dict.fromkeys([*limited_tokens, *expiring_tokens])) + expiring_token_set = set(expiring_tokens) + keepalive_tokens = [token for token in keepalive_tokens if token not in expiring_token_set] + if tokens: + print( + "[account-watcher] checking " + f"{len(limited_tokens)} limited accounts, " + f"{len(expiring_tokens)} expiring access tokens" + ) + account_service.refresh_accounts(tokens) + if keepalive_tokens: + print(f"[account-watcher] keepalive {len(keepalive_tokens)} refresh tokens") + result = account_service.keepalive_refresh_tokens(keepalive_tokens) + if result.get("errors"): + print(f"[account-watcher] keepalive errors: {result['errors']}") + except Exception as exc: + print(f"[account-watcher] fail {exc}") + stop_event.wait(interval_seconds) + + thread = Thread(target=worker, name="account-watcher", daemon=True) + thread.start() + return thread + + +def resolve_web_asset(requested_path: str) -> Path | None: + if not WEB_DIST_DIR.exists(): + return None + clean_path = requested_path.strip("/") + base_dir = WEB_DIST_DIR.resolve() + candidates = [base_dir / "index.html"] if not clean_path else [ + base_dir / Path(clean_path), + base_dir / clean_path / "index.html", + base_dir / f"{clean_path}.html", + ] + for candidate in candidates: + try: + candidate.resolve().relative_to(base_dir) + except ValueError: + continue + if candidate.is_file(): + return candidate + return None diff --git a/api/system.py b/api/system.py new file mode 100644 index 0000000000000000000000000000000000000000..c6a38f4dc569447d59c53d3416266190841003dc --- /dev/null +++ b/api/system.py @@ -0,0 +1,334 @@ +from __future__ import annotations + +from urllib.parse import quote + +from fastapi import APIRouter, Header, HTTPException, Query, Request +from fastapi.concurrency import run_in_threadpool +from fastapi.responses import HTMLResponse, Response, StreamingResponse +from pydantic import BaseModel, ConfigDict + +from api.support import require_admin, require_identity, resolve_image_base_url +from services.backup_service import BackupError, backup_service +from services.config import config +from services.image_service import ( + compress_images, + delete_images, + delete_to_target, + download_images_zip, + get_image_download_response, + get_image_response, + get_thumbnail_response, + list_images, + storage_stats, +) +from services.image_storage_service import ImageStorageError, image_storage_service +from services.image_tags_service import delete_tag, get_all_tags, set_tags +from services.log_service import log_service +from services.proxy_service import test_proxy + + +class SettingsUpdateRequest(BaseModel): + model_config = ConfigDict(extra="allow") + + +class ProxyTestRequest(BaseModel): + url: str = "" + + +class ImageDeleteRequest(BaseModel): + paths: list[str] = [] + start_date: str = "" + end_date: str = "" + all_matching: bool = False + +class ImageDownloadRequest(BaseModel): + paths: list[str] + +class ImageTagsRequest(BaseModel): + path: str + tags: list[str] + +class LogDeleteRequest(BaseModel): + ids: list[str] = [] +class BackupDeleteRequest(BaseModel): + key: str = "" + + +def create_router(app_version: str) -> APIRouter: + router = APIRouter() + + @router.post("/auth/login") + async def login(authorization: str | None = Header(default=None)): + identity = require_identity(authorization) + return { + "ok": True, + "version": app_version, + "role": identity.get("role"), + "subject_id": identity.get("id"), + "name": identity.get("name"), + } + + @router.get("/version") + async def get_version(): + return {"version": app_version} + + @router.get("/api/settings") + async def get_settings(authorization: str | None = Header(default=None)): + require_admin(authorization) + return {"config": config.get()} + + @router.post("/api/settings") + async def save_settings(body: SettingsUpdateRequest, authorization: str | None = Header(default=None)): + require_admin(authorization) + try: + return {"config": config.update(body.model_dump(mode="python"))} + except ValueError as exc: + raise HTTPException(status_code=400, detail={"error": str(exc)}) from exc + + @router.get("/api/images") + async def get_images(request: Request, start_date: str = "", end_date: str = "", authorization: str | None = Header(default=None)): + require_admin(authorization) + return list_images(resolve_image_base_url(request), start_date=start_date.strip(), end_date=end_date.strip()) + + @router.get("/images/{image_path:path}", include_in_schema=False) + async def get_image(image_path: str): + return get_image_response(image_path) + + @router.get("/image-thumbnails/{image_path:path}", include_in_schema=False) + async def get_image_thumbnail(image_path: str): + return get_thumbnail_response(image_path) + + @router.post("/api/images/delete") + async def delete_images_endpoint(body: ImageDeleteRequest, authorization: str | None = Header(default=None)): + require_admin(authorization) + return delete_images(body.paths, start_date=body.start_date.strip(), end_date=body.end_date.strip(), all_matching=body.all_matching) + + @router.post("/api/images/download") + async def download_images_endpoint(body: ImageDownloadRequest, authorization: str | None = Header(default=None)): + require_admin(authorization) + buf = download_images_zip(body.paths) + return StreamingResponse( + buf, + media_type="application/zip", + headers={"Content-Disposition": 'attachment; filename="images.zip"'}, + ) + + @router.get("/api/images/download/{image_path:path}") + async def download_single_image_endpoint(image_path: str, authorization: str | None = Header(default=None)): + require_admin(authorization) + return get_image_download_response(image_path) + + @router.get("/api/logs") + async def get_logs(type: str = "", start_date: str = "", end_date: str = "", authorization: str | None = Header(default=None)): + require_admin(authorization) + return {"items": log_service.list(type=type.strip(), start_date=start_date.strip(), end_date=end_date.strip())} + + @router.post("/api/logs/delete") + async def delete_logs(body: LogDeleteRequest, authorization: str | None = Header(default=None)): + require_admin(authorization) + return log_service.delete(body.ids) + + @router.post("/api/proxy/test") + async def test_proxy_endpoint(body: ProxyTestRequest, authorization: str | None = Header(default=None)): + require_admin(authorization) + candidate = (body.url or "").strip() or config.get_proxy_settings() + if not candidate: + raise HTTPException(status_code=400, detail={"error": "proxy url is required"}) + return {"result": await run_in_threadpool(test_proxy, candidate)} + + @router.get("/api/storage/info") + async def get_storage_info(authorization: str | None = Header(default=None)): + require_admin(authorization) + storage = config.get_storage_backend() + return { + "backend": storage.get_backend_info(), + "health": storage.health_check(), + } + + @router.post("/api/backup/test") + async def test_backup_connection(authorization: str | None = Header(default=None)): + require_admin(authorization) + try: + return {"result": await run_in_threadpool(backup_service.test_connection)} + except BackupError as exc: + raise HTTPException(status_code=400, detail={"error": str(exc)}) from exc + + @router.post("/api/image-storage/test") + async def test_image_storage_endpoint(authorization: str | None = Header(default=None)): + require_admin(authorization) + return {"result": await run_in_threadpool(image_storage_service.test_webdav)} + + @router.post("/api/image-storage/sync") + async def sync_image_storage_endpoint(authorization: str | None = Header(default=None)): + require_admin(authorization) + try: + return {"result": await run_in_threadpool(image_storage_service.sync_all)} + except ImageStorageError as exc: + raise HTTPException(status_code=400, detail={"error": str(exc)}) from exc + + @router.get("/api/backups") + async def get_backups(authorization: str | None = Header(default=None)): + require_admin(authorization) + try: + return { + "items": await run_in_threadpool(backup_service.list_backups), + "state": backup_service.get_status(), + "settings": backup_service.get_settings(), + } + except BackupError as exc: + raise HTTPException(status_code=400, detail={"error": str(exc)}) from exc + + @router.post("/api/backups/run") + async def run_backup_endpoint(authorization: str | None = Header(default=None)): + require_admin(authorization) + try: + return {"result": await run_in_threadpool(backup_service.run_backup)} + except BackupError as exc: + raise HTTPException(status_code=400, detail={"error": str(exc)}) from exc + + @router.post("/api/backups/delete") + async def delete_backup_endpoint(body: BackupDeleteRequest, authorization: str | None = Header(default=None)): + require_admin(authorization) + try: + await run_in_threadpool(backup_service.delete_backup, body.key) + return {"ok": True} + except BackupError as exc: + raise HTTPException(status_code=400, detail={"error": str(exc)}) from exc + + @router.get("/api/backups/detail") + async def get_backup_detail(key: str = "", authorization: str | None = Header(default=None)): + require_admin(authorization) + try: + return {"item": await run_in_threadpool(backup_service.get_backup_detail, key)} + except BackupError as exc: + raise HTTPException(status_code=400, detail={"error": str(exc)}) from exc + + @router.get("/api/backups/download") + async def download_backup_endpoint(key: str = "", authorization: str | None = Header(default=None)): + require_admin(authorization) + try: + item = await run_in_threadpool(backup_service.download_backup, key) + except BackupError as exc: + raise HTTPException(status_code=400, detail={"error": str(exc)}) from exc + filename = str(item.get("name") or "backup.bin") + quoted = quote(filename) + headers = { + "Content-Disposition": f"attachment; filename*=UTF-8''{quoted}", + "Content-Length": str(int(item.get("size") or 0)), + } + return Response( + content=bytes(item.get("payload") or b""), + media_type=str(item.get("content_type") or "application/octet-stream"), + headers=headers, + ) + + + @router.get("/api/images/tags") + async def list_image_tags(authorization: str | None = Header(default=None)): + require_admin(authorization) + return {"tags": get_all_tags()} + + @router.post("/api/images/tags") + async def update_image_tags(body: ImageTagsRequest, authorization: str | None = Header(default=None)): + require_admin(authorization) + rel = body.path.strip().lstrip("/") + if not rel: + raise HTTPException(status_code=400, detail={"error": "path is required"}) + tags = set_tags(rel, body.tags) + return {"ok": True, "tags": tags} + + @router.delete("/api/images/tags/{tag}") + async def delete_image_tag(tag: str, authorization: str | None = Header(default=None)): + require_admin(authorization) + count = delete_tag(tag) + return {"ok": True, "removed_from": count} + + @router.get("/api/images/storage") + async def get_image_storage(authorization: str | None = Header(default=None)): + require_admin(authorization) + return storage_stats() + + @router.post("/api/images/storage/compress") + async def compress_all_images(authorization: str | None = Header(default=None)): + require_admin(authorization) + return await run_in_threadpool(compress_images) + + @router.post("/api/images/storage/cleanup-to-target") + async def cleanup_to_target( + target_free_mb: int = 500, + dry_run: bool = False, + authorization: str | None = Header(default=None), + ): + require_admin(authorization) + return await run_in_threadpool(delete_to_target, target_free_mb, dry_run) + + @router.get("/health", response_model=None) + async def health_dashboard(format: str = Query(default="html")): + from services.account_service import account_service as acct_svc + stats = acct_svc.get_stats() + storage = config.get_storage_backend() + storage_health = storage.health_check() + healthy = stats["active"] > 0 or stats["unlimited_quota_count"] > 0 + + stats_json = { + "status": "ok" if healthy else "degraded", + "healthy": healthy, + "version": app_version, + "storage": {"backend": storage.get_backend_info(), "health": storage_health}, + "accounts": stats, + } + if format == "json": + return stats_json + return HTMLResponse(f""" + + +号池健康监控 - chatgpt2api + + + + +
+

号池健康监控

+
v{app_version} · 30s 自动刷新
+
+
+
+
号池状态
{'正常' if healthy else '异常'}
+
当前账号
{stats['total']}
+
累计入库
{stats['cumulative_total']}
+
可用账号
{stats['active']}
+
无限额
{stats['unlimited_quota_count']}
+
剩余额度
{stats['total_quota']}
+
限流
{stats['limited']}
+
异常
{stats['abnormal']}
+
禁用
{stats['disabled']}
+
成功/失败
{stats['total_success']}/{stats['total_fail']}
+
+

账号类型分布

+ + +{''.join(f'' for t,c in sorted(stats['by_type'].items()))} +
类型数量
{t}{c}
+
JSON: /health?format=json
+
""") + + return router diff --git a/docker-compose.local.yml b/docker-compose.local.yml new file mode 100644 index 0000000000000000000000000000000000000000..288901909a7c7a5619bbb5f20ac224f180165243 --- /dev/null +++ b/docker-compose.local.yml @@ -0,0 +1,34 @@ +services: + app: + build: + context: . + dockerfile: Dockerfile + image: chatgpt2api:local + container_name: chatgpt2api-local + ports: + - "8000:80" + volumes: + - ./data:/app/data + - ./config.json:/app/config.json + environment: + STORAGE_BACKEND: sqlite + DATABASE_URL: sqlite:////app/data/accounts.db + # 存储后端配置 (可选值: json, sqlite, postgres, git) + # environment: + # STORAGE_BACKEND: json + + # 数据库配置 (当 STORAGE_BACKEND=sqlite/postgres 时使用) + # DATABASE_URL: postgresql://user:password@host:5432/dbname + # DATABASE_URL: sqlite:////app/data/accounts.db + + # Git 仓库配置 (当 STORAGE_BACKEND=git 时使用) + # GIT_REPO_URL: https://github.com/user/repo.git + # GIT_TOKEN: ghp_xxxxxxxxxxxx + # GIT_BRANCH: main + # GIT_FILE_PATH: accounts.json + + # 认证密钥 (可选，覆盖 config.json) + # CHATGPT2API_AUTH_KEY: your_secret_key + + # 基础 URL (可选) + # CHATGPT2API_BASE_URL: https://your-domain.com diff --git a/docker-compose.yml b/docker-compose.yml new file mode 100644 index 0000000000000000000000000000000000000000..a80dc6435132a3da33ee3fc357e367a7763882c6 --- /dev/null +++ b/docker-compose.yml @@ -0,0 +1,29 @@ +services: + app: + image: ghcr.io/basketikun/chatgpt2api:latest + container_name: chatgpt2api + restart: unless-stopped + ports: + - "3000:80" + volumes: + - ./data:/app/data + - ./config.json:/app/config.json + environment: + # 存储后端配置 (可选值: json, sqlite, postgres, git) + - STORAGE_BACKEND=json + + # 数据库配置 (当 STORAGE_BACKEND=sqlite/postgres 时使用) + # - DATABASE_URL=postgresql://user:password@host:5432/dbname + # - DATABASE_URL=sqlite:///app/data/accounts.db + + # Git 仓库配置 (当 STORAGE_BACKEND=git 时使用) + # - GIT_REPO_URL=https://github.com/user/repo.git + # - GIT_TOKEN=ghp_xxxxxxxxxxxx + # - GIT_BRANCH=main + # - GIT_FILE_PATH=accounts.json + + # 认证密钥 (可选，覆盖 config.json) + # - CHATGPT2API_AUTH_KEY=your_secret_key + + # 基础 URL (可选) + # - CHATGPT2API_BASE_URL=https://your-domain.com diff --git a/docs/feature-status.en.md b/docs/feature-status.en.md new file mode 100644 index 0000000000000000000000000000000000000000..a72e2b7a74ec991a6ba3fb63bd1e80ddd2137780 --- /dev/null +++ b/docs/feature-status.en.md @@ -0,0 +1,44 @@ +# 功能状态 + +本文基于当前仓库当前实现整理，用于帮助用户快速了解哪些功能已经可用、哪些仍在完善、哪些待实现。 + +| 功能 | 状态 | 说明 | +|:----------------------------------------|:--:|:--------------------------------------------------------------| +| OpenAI 兼容 `POST /v1/images/generations` | ✅ | 已支持，用于图片生成，并可通过 `n` 返回多张图片。 | +| OpenAI 兼容 `POST /v1/images/edits` | ✅ | 已支持，可上传图片进行编辑。 | +| 面向图片工作流的 `POST /v1/chat/completions` | ✅ | 已支持图片相关请求。 | +| 面向图片工作流的 `POST /v1/responses` | ✅ | 已支持图片生成工具调用。 | +| `GET /v1/models` 接口 | ✅ | 当前返回 `gpt-image-2`、`codex-gpt-image-2`、`auto`、`gpt-5`、`gpt-5-1`、`gpt-5-2`、`gpt-5-3`、`gpt-5-3-mini`、`gpt-5-mini`。 | +| 同时生成多张图片 | ✅ | 已支持，后端与前端都可进行多图生成。 | +| 图片并行生成 | ✅ | 多张图片使用独立线程和账号同时生成，可通过 `image_parallel_generation` 配置关闭。 | +| 图片生成进度追踪 | ✅ | 任务显示当前步骤（上传/预热/获取token/生成中等），支持耗时统计。 | +| 图片超时续轮询 | ✅ | 超时任务可继续等待，前端显示"继续等待"按钮，后端 resume-poll API。 | +| 图片二次确认与先check再hit | ✅ | 可通过 `image_settle_enabled` 和 `image_check_before_hit_enabled` 配置，关闭后跳过等待直接返回。 | +| 前端图片工作台 | ✅ | 已支持图片生成、图片编辑、模型选择、历史记录与查看大图。 | +| 前端图片懒加载与滚动优化 | ✅ | LazyImage 懒加载、会话切换滚动位置保存与恢复、bfcache 页面恢复同步。 | +| 前端图片输入 / 参考图交互 | ✅ | 已支持参考图上传、预览、移除和编辑模式工作流。 | +| Codex 画图接口逆向 | ✅ | 已支持，仅 `Plus` / `Team` / `Pro` 订阅可用，模型别名为 `codex-gpt-image-2`；如有需要可自行在其他场景映射回 `gpt-image-2`。这是 Codex 逆向链路，用于和官网画图区分，同一账号通常会同时支持官网和 Codex 两份生图额度。 | +| Cherry Studio 接入 | ✅ | 已支持作为绘图接口接入 Cherry Studio。 | +| New API 接入 | ✅ | 已支持接入 New API。 | +| 账号池管理 | ✅ | 已支持列表、筛选、批量操作、导出、手动编辑、刷新和删除。 | +| 账号刷新异步进度追踪 | ✅ | 刷新和重新登录改为异步模式，前端轮询显示进度。 | +| 密码重新登录恢复异常账号 | ✅ | 号池管理页面支持重新登录，刷新后可自动重登异常账号。 | +| 账号额度刷新与恢复时间同步 | ✅ | 已支持账号信息刷新，限流账号也会自动继续检查。 | +| 失效 Token 自动清理 | ✅ | 已支持自动移除失效 Token。 | +| CPA 连接管理 | ✅ | 已支持 CPA 连接的新增、修改、查询和删除。 | +| CPA 文件浏览与按需导入 | ✅ | 已支持读取远程文件列表、筛选、勾选并导入到本地号池。 | +| CPA 导入进度跟踪 | ✅ | 已支持导入进度展示与轮询更新。 | +| `sub2api` 连接管理与账号浏览 | ✅ | 已支持 `sub2api` 服务器的新增、修改、删除、分组查询和 OpenAI OAuth 账号列表读取。 | +| `sub2api` 导入 | ✅ | 已支持勾选 `sub2api` 中的 OpenAI OAuth 账号，批量拉取 `access_token` 导入本地号池，并展示导入进度。 | +| Docker 自托管部署 | ✅ | 已支持 Docker Compose 部署，并提供多架构镜像。 | +| 兼容接口中的多参考图能力 | ✅ | 已实现，支持在兼容接口中传入多参考图。 | +| 更高级的 Token 调度策略 | ⚠️ | 当前已有基础轮询与限流刷新机制，更复杂的调度策略仍在完善中。 | +| Render / Vercel 等部署表述 | ⚠️ | 当前主要以 Docker 部署为主，其他平台部署方式暂未重点说明。 | +| `/v1/complete` 文本补全与流式输出 | ✅ | 已实现。 | +| 流式输出支持 | ✅ | 已实现。 | +| 文本补全缓存与重复请求合并 | ✅ | `/v1/chat/completions` 文本链路默认启用 60 秒短缓存、流式结果回放、in-flight 请求合并和相邻重复消息清理；可通过 `chat_completion_cache` 配置关闭或调整。 | +| 图片尺寸参数 | ❌ | 待实现。 | +| 服务端图片 URL 缓存 | ✅ | 已实现。 | +| `rt_token` 刷新 | ❌ | 待实现。 | +| 代理配置功能 | ✅ | 已支持网页端配置全局 HTTP / HTTPS / SOCKS5 / SOCKS5H 代理，并应用到出站请求。 | +| Anthropic 协议支持 | ❌ | 待实现。 | diff --git a/docs/review.md b/docs/review.md new file mode 100644 index 0000000000000000000000000000000000000000..c4e92bf2436c237f51109e00387019d5177680fa --- /dev/null +++ b/docs/review.md @@ -0,0 +1,9 @@ +# Review + +- [P2] Poll when the image tool was invoked + `services/protocol/conversation.py:586` + 对于没有输入图片的图像生成任务，延迟结果仍可能在 SSE 返回 `tool_invoked: true` 之后到达，但这里新的判断条件忽略了 `tool_invoked`。这样会直接返回中间文本，而不会继续轮询会话来拿图片 ID。 + +- [P2] Align CloudMail domain validation with the UI + `web/src/app/register/components/register-card.tsx:266` + `cloudmail_gen` 的 placeholder 写的是留空会使用服务默认域名，但后端 `create_mailbox` 不接受空域名。用户按 UI 提示保存后，这个 provider 会在真正创建地址前失败。 diff --git a/docs/upstream-sse-conversation.md b/docs/upstream-sse-conversation.md new file mode 100644 index 0000000000000000000000000000000000000000..c1ec7dce557b5a62c24dea22f16a402154f036b6 --- /dev/null +++ b/docs/upstream-sse-conversation.md @@ -0,0 +1,271 @@ +# 上游 Conversation SSE 协议说明 + +Conversation SSE 是上游对话链路的流式返回协议。每条 SSE `data:` 通常是一段 JSON payload，也可能是协议标记或结束标记。客户端需要按顺序消费这些 payload，维护当前会话状态、文本内容、工具调用状态和图片结果指针。 + +## 基本形态 + +常见 payload 示例： + +```text +"v1" +{"type":"resume_conversation_token",...} +{"p":"","o":"add","v":{...}} +{"v":{...}} +{"p":"/message/content/parts/0","o":"append","v":"..."} +{"type":"server_ste_metadata","metadata":{...}} +[DONE] +``` + +处理建议： + +| payload | 含义 | 处理方式 | +|:--|:--|:--| +| `"v1"` | 协议版本标记 | 可记录，通常不影响业务 | +| `[DONE]` | 当前 SSE 流结束 | 停止继续读取 | +| JSON object | 事件、消息或 patch | 按字段更新会话状态 | +| JSON string | 短文本 patch 或协议标记 | 结合上下文处理 | +| 非 JSON 内容 | 原始内容 | 保留为 raw 事件，避免中断流 | + +## 常用字段 + +| 字段 | 说明 | +|:--|:--| +| `type` | 上游事件类型，如 `resume_conversation_token`、`input_message`、`message_marker`、`title_generation`、`server_ste_metadata` | +| `conversation_id` | 当前会话 ID，可从多个事件中获得 | +| `p` | patch 路径，例如 `/message/content/parts/0` | +| `o` | patch 操作，例如 `add`、`append`、`replace`、`patch` | +| `v` | patch 值，可能是字符串、数组，也可能包含完整 message | +| `c` | 消息序号或游标，常见于 add 类事件 | +| `message.id` | 消息 ID | +| `message.author.role` | 消息角色，常见 `system`、`user`、`assistant`、`tool` | +| `message.content.content_type` | 内容类型，如 `text`、`multimodal_text`、`model_editable_context` | +| `message.content.parts` | 内容片段，可能包含文本、图片指针或多模态对象 | +| `message.status` | 消息状态，如 `in_progress`、`finished_successfully` | +| `message.end_turn` | 是否结束当前轮次 | +| `metadata.tool_invoked` | 本轮是否调用工具 | +| `metadata.turn_use_case` | 本轮用途，如 `text`、`multimodal` | +| `metadata.async_task_type` | 异步工具任务类型，图片生成通常为 `image_gen` | + +## 会话启动事件 + +上游通常会先返回恢复令牌或会话令牌： + +```json +{ + "type": "resume_conversation_token", + "kind": "topic", + "token": "...", + "conversation_id": "..." +} +``` + +这个事件主要用于标识会话和恢复上下文。业务层通常只需要保存 `conversation_id`，`token` 不应该暴露给下游用户。 + +## 消息 add 场景 + +完整消息可能通过 `add` 或带 `v.message` 的事件出现： + +```json +{ + "p": "", + "o": "add", + "v": { + "message": { + "author": {"role": "assistant"}, + "content": {"content_type": "text", "parts": [""]}, + "status": "in_progress" + }, + "conversation_id": "..." + }, + "c": 3 +} +``` + +此类事件常用于创建一条新消息。若消息角色为 `assistant`，后续文本通常会通过 patch 继续追加。 + +## 文本增量场景 + +文本输出通常由多条 patch 组成： + +```json +{"p":"/message/content/parts/0","o":"append","v":"Hello"} +{"v":" world"} +{"p":"","o":"patch","v":[ + {"p":"/message/content/parts/0","o":"append","v":"!"}, + {"p":"/message/status","o":"replace","v":"finished_successfully"}, + {"p":"/message/end_turn","o":"replace","v":true} +]} +``` + +处理要点： + +| 形态 | 含义 | +|:--|:--| +| `p == "/message/content/parts/0"` 且 `o == "append"` | 向当前文本追加内容 | +| `o == "replace"` | 用新值替换目标字段 | +| `o == "patch"` 且 `v` 是数组 | 批量 patch，需要按数组顺序处理 | +| 只有 `v` 且 `v` 是字符串 | 可能是省略路径的文本增量，应结合当前文本流处理 | + +## 输入消息场景 + +用户输入会以 `input_message` 或普通 `user` message 出现。图片编辑请求会包含用户上传的参考图： + +```json +{ + "type": "input_message", + "input_message": { + "author": {"role": "user"}, + "content": { + "content_type": "multimodal_text", + "parts": [ + {"asset_pointer": "sediment://file_input"}, + "编辑提示词" + ] + } + }, + "conversation_id": "..." +} +``` + +这类 `sediment://...` 表示输入附件，不是生成结果。即使它可以被下载，也不能当作输出图片返回。 + +## 图片工具成功场景 + +图片生成或图片编辑成功时，上游一般会出现工具消息： + +```json +{ + "v": { + "message": { + "author": {"role": "tool"}, + "content": { + "content_type": "multimodal_text", + "parts": [ + {"asset_pointer": "file-service://file_result"}, + {"asset_pointer": "sediment://file_result"} + ] + }, + "metadata": {"async_task_type": "image_gen"} + } + }, + "conversation_id": "..." +} +``` + +只有同时满足以下条件的图片指针，才应该视为输出结果： + +| 条件 | 说明 | +|:--|:--| +| `message.author.role == "tool"` | 来源是工具消息 | +| `metadata.async_task_type == "image_gen"` | 工具任务是图片生成 | +| `asset_pointer` 为 `file-service://...` 或 `sediment://...` | 指向可解析图片资源 | + +## 图片指针类型 + +| 指针 | 常见来源 | 说明 | +|:--|:--|:--| +| `file-service://file_xxx` | 图片工具输出 | 可通过文件下载接口解析 | +| `sediment://file_xxx` | 输入附件或图片工具输出 | 需要结合消息角色判断来源 | +| `file_upload` | 上传过程占位 | 通常不应作为输出 | + +不要只凭字符串里出现 `file_` 或 `sediment://` 就判定为输出图。必须结合消息角色和任务类型。 + +## 策略拒绝场景 + +当上游拒绝请求时，通常不会产生图片工具消息，而是返回普通 assistant 文本： + +```text +I can't assist with that request. If you have another type of modification... +``` + +常见伴随事件： + +```json +{"type":"title_generation","title":"Request Denied","conversation_id":"..."} +``` + +```json +{ + "type": "server_ste_metadata", + "metadata": { + "tool_invoked": false, + "turn_use_case": "multimodal", + "did_prompt_contain_image": true + }, + "conversation_id": "..." +} +``` + +处理要点： + +| 条件 | 行为 | +|:--|:--| +| 有 assistant 拒绝文本 | 应返回文本消息 | +| `tool_invoked == false` | 说明没有实际工具结果 | +| 没有 `role=tool` 且 `async_task_type=image_gen` 的消息 | 不应收集输出图片 | +| 用户输入消息里有图片指针 | 仍然只视为输入附件 | + +## moderation 场景 + +部分请求可能返回 moderation 事件： + +```json +{ + "type": "moderation", + "moderation_response": { + "blocked": true + }, + "conversation_id": "..." +} +``` + +若 `blocked == true`，应认为本轮被策略拦截。后续如有 assistant 文本，应优先返回该文本；若没有文本，可返回合适的错误信息。 + +## marker 和 title 事件 + +上游会返回一些辅助事件： + +```json +{"type":"message_marker","marker":"user_visible_token","event":"first"} +{"type":"message_marker","marker":"last_token","event":"last"} +{"type":"title_generation","title":"...","conversation_id":"..."} +``` + +这些事件通常用于前端展示、标题生成或流式状态标记，不代表实际文本内容或图片结果。 + +## metadata 事件 + +`server_ste_metadata` 用于描述本轮调度和工具状态： + +```json +{ + "type": "server_ste_metadata", + "metadata": { + "tool_invoked": true, + "turn_use_case": "multimodal", + "model_slug": "i-mini-m", + "did_prompt_contain_image": true + } +} +``` + +常用判断： + +| 字段 | 说明 | +|:--|:--| +| `tool_invoked == true` | 上游认为本轮调用过工具 | +| `tool_invoked == false` | 上游未调用工具，常见于拒绝或纯文本响应 | +| `turn_use_case == "text"` | 按文本响应处理 | +| `turn_use_case == "multimodal"` | 多模态请求，不代表一定有图片输出 | +| `did_prompt_contain_image == true` | 输入包含图片，不代表输出包含图片 | + +## 结束后的结果判断 + +SSE 结束后可按以下顺序判断结果： + +1. 如果已经收集到图片工具输出指针，解析并下载输出图片。 +2. 如果没有输出图片指针，但有 assistant 文本，并且本轮被拦截或未调用工具，返回文本消息。 +3. 如果没有输出图片指针，但有 `conversation_id`，可查询完整会话明细，继续寻找图片工具输出。 +4. 查询完整会话时，仍然只读取 `role=tool` 且 `async_task_type=image_gen` 的消息。 +5. 如果没有图片结果也没有文本，返回上游异常或空结果错误。 + diff --git a/main.py b/main.py new file mode 100644 index 0000000000000000000000000000000000000000..fe5205672b37940ad59c317b086072bf2a04a8f7 --- /dev/null +++ b/main.py @@ -0,0 +1,9 @@ +from __future__ import annotations + +import uvicorn +from api import create_app + +app = create_app() + +if __name__ == "__main__": + uvicorn.run(app, access_log=False, log_level="info") diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000000000000000000000000000000000000..5ae2627976627f0d0b5656268fc5918f179c62e5 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,27 @@ +[project] +name = "chatgpt2api" +version = "0.1.0" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.13" +dependencies = [ + "curl-cffi>=0.15.0", + "fastapi>=0.136.0", + "pillow>=12.2.0", + "pybase64>=1.4.3", + "python-multipart>=0.0.26", + "tiktoken>=0.12.0", + "uvicorn>=0.44.0", + "sqlalchemy>=2.0.0", + "psycopg2-binary>=2.9.0", + "gitpython>=3.1.0", +] + +[dependency-groups] +dev = [ + "httpx>=0.28.1", +] + +[[tool.uv.index]] +url = "https://mirrors.aliyun.com/pypi/simple" +default = true diff --git a/scripts/migrate_storage.py b/scripts/migrate_storage.py new file mode 100644 index 0000000000000000000000000000000000000000..32adeaff3b622e19b2555476b4d7058d46eafd13 --- /dev/null +++ b/scripts/migrate_storage.py @@ -0,0 +1,163 @@ +#!/usr/bin/env python3 +""" +存储后端数据迁移脚本 + +用法： + python scripts/migrate_storage.py --from json --to postgres + python scripts/migrate_storage.py --from postgres --to git + python scripts/migrate_storage.py --export accounts.json + python scripts/migrate_storage.py --import accounts.json +""" + +import argparse +import json +import os +import sys +from pathlib import Path + +# 添加项目根目录到 Python 路径 +sys.path.insert(0, str(Path(__file__).resolve().parents[1])) + +DATA_DIR = Path(__file__).resolve().parents[1] / "data" + +from services.storage.factory import create_storage_backend + + +def export_to_json(output_file: str): + """导出当前存储后端的数据到 JSON 文件""" + print(f"[migrate] Exporting data to {output_file}") + DATA_DIR.mkdir(parents=True, exist_ok=True) + storage = create_storage_backend(DATA_DIR) + accounts = storage.load_accounts() + + output_path = Path(output_file) + output_path.parent.mkdir(parents=True, exist_ok=True) + output_path.write_text( + json.dumps(accounts, ensure_ascii=False, indent=2) + "\n", + encoding="utf-8", + ) + + print(f"[migrate] Exported {len(accounts)} accounts to {output_file}") + + +def import_from_json(input_file: str): + """从 JSON 文件导入数据到当前存储后端""" + print(f"[migrate] Importing data from {input_file}") + DATA_DIR.mkdir(parents=True, exist_ok=True) + input_path = Path(input_file) + if not input_path.exists(): + print(f"[migrate] Error: File not found: {input_file}") + sys.exit(1) + + try: + accounts = json.loads(input_path.read_text(encoding="utf-8")) + if not isinstance(accounts, list): + print(f"[migrate] Error: Invalid JSON format, expected array") + sys.exit(1) + except json.JSONDecodeError as e: + print(f"[migrate] Error: Invalid JSON: {e}") + sys.exit(1) + + storage = create_storage_backend(DATA_DIR) + storage.save_accounts(accounts) + + print(f"[migrate] Imported {len(accounts)} accounts") + + +def migrate_data(from_backend: str, to_backend: str): + """从一个存储后端迁移到另一个""" + print(f"[migrate] Migrating from {from_backend} to {to_backend}") + DATA_DIR.mkdir(parents=True, exist_ok=True) + # 保存原始环境变量 + original_backend = os.environ.get("STORAGE_BACKEND") + + try: + # 从源后端读取数据 + os.environ["STORAGE_BACKEND"] = from_backend + from_storage = create_storage_backend(DATA_DIR) + accounts = from_storage.load_accounts() + print(f"[migrate] Loaded {len(accounts)} accounts from {from_backend}") + + # 写入目标后端 + os.environ["STORAGE_BACKEND"] = to_backend + to_storage = create_storage_backend(DATA_DIR) + to_storage.save_accounts(accounts) + print(f"[migrate] Saved {len(accounts)} accounts to {to_backend}") + + print(f"[migrate] Migration completed successfully!") + + finally: + # 恢复原始环境变量 + if original_backend: + os.environ["STORAGE_BACKEND"] = original_backend + elif "STORAGE_BACKEND" in os.environ: + del os.environ["STORAGE_BACKEND"] + + +def main(): + parser = argparse.ArgumentParser( + description="ChatGPT2API 存储后端数据迁移工具", + formatter_class=argparse.RawDescriptionHelpFormatter, + epilog=""" +示例: + # 从 JSON 迁移到 PostgreSQL + python scripts/migrate_storage.py --from json --to postgres + + # 从 PostgreSQL 迁移到 Git + python scripts/migrate_storage.py --from postgres --to git + + # 导出当前数据到 JSON 文件 + python scripts/migrate_storage.py --export backup.json + + # 从 JSON 文件导入数据 + python scripts/migrate_storage.py --import backup.json + +环境变量: + STORAGE_BACKEND - 存储后端类型 (json, sqlite, postgres, git) + DATABASE_URL - 数据库连接字符串 + GIT_REPO_URL - Git 仓库地址 + GIT_TOKEN - Git 访问令牌 + """ + ) + + parser.add_argument( + "--from", + dest="from_backend", + choices=["json", "sqlite", "postgres", "git"], + help="源存储后端", + ) + parser.add_argument( + "--to", + dest="to_backend", + choices=["json", "sqlite", "postgres", "git"], + help="目标存储后端", + ) + parser.add_argument( + "--export", + dest="export_file", + metavar="FILE", + help="导出数据到 JSON 文件", + ) + parser.add_argument( + "--import", + dest="import_file", + metavar="FILE", + help="从 JSON 文件导入数据", + ) + + args = parser.parse_args() + + # 检查参数 + if args.from_backend and args.to_backend: + migrate_data(args.from_backend, args.to_backend) + elif args.export_file: + export_to_json(args.export_file) + elif args.import_file: + import_from_json(args.import_file) + else: + parser.print_help() + sys.exit(1) + + +if __name__ == "__main__": + main() diff --git a/scripts/test_storage.py b/scripts/test_storage.py new file mode 100644 index 0000000000000000000000000000000000000000..15455f6bd7d339afeb10415b34462f96fe31fe52 --- /dev/null +++ b/scripts/test_storage.py @@ -0,0 +1,129 @@ +#!/usr/bin/env python3 +""" +存储后端测试脚本 + +用法： + python scripts/test_storage.py +""" + +import os +import sys +from pathlib import Path + +# 添加项目根目录到 Python 路径 +sys.path.insert(0, str(Path(__file__).resolve().parents[1])) + +DATA_DIR = Path(__file__).resolve().parents[1] / "data" + +from services.storage.factory import create_storage_backend + + +def test_storage(): + """测试当前配置的存储后端""" + DATA_DIR.mkdir(parents=True, exist_ok=True) + print("=" * 60) + print("ChatGPT2API 存储后端测试") + print("=" * 60) + + # 显示当前配置 + backend_type = os.getenv("STORAGE_BACKEND", "json") + print(f"\n当前存储后端: {backend_type}") + + if backend_type in ("sqlite", "postgres", "postgresql", "mysql", "database"): + database_url = os.getenv("DATABASE_URL", "") + if database_url: + # 隐藏密码 + if "://" in database_url and "@" in database_url: + protocol, rest = database_url.split("://", 1) + if "@" in rest: + credentials, host = rest.split("@", 1) + if ":" in credentials: + username, _ = credentials.split(":", 1) + database_url = f"{protocol}://{username}:****@{host}" + print(f"数据库连接: {database_url}") + else: + print(f"数据库连接: 本地 SQLite (data/accounts.db)") + + elif backend_type == "git": + repo_url = os.getenv("GIT_REPO_URL", "") + branch = os.getenv("GIT_BRANCH", "main") + file_path = os.getenv("GIT_FILE_PATH", "accounts.json") + print(f"Git 仓库: {repo_url}") + print(f"Git 分支: {branch}") + print(f"文件路径: {file_path}") + + print("\n" + "=" * 60) + + try: + # 创建存储后端 + print("\n[1/5] 创建存储后端...") + storage = create_storage_backend(DATA_DIR) + print("✅ 存储后端创建成功") + + # 获取后端信息 + print("\n[2/5] 获取后端信息...") + info = storage.get_backend_info() + print(f"✅ 后端类型: {info.get('type')}") + print(f" 描述: {info.get('description')}") + for key, value in info.items(): + if key not in ('type', 'description'): + print(f" {key}: {value}") + + # 健康检查 + print("\n[3/5] 执行健康检查...") + health = storage.health_check() + status = health.get("status") + if status == "healthy": + print(f"✅ 健康状态: {status}") + else: + print(f"❌ 健康状态: {status}") + print(f" 错误: {health.get('error')}") + return False + + # 读取数据 + print("\n[4/5] 读取账号数据...") + accounts = storage.load_accounts() + print(f"✅ 成功读取 {len(accounts)} 个账号") + + # 写入测试（可选） + print("\n[5/5] 测试写入功能...") + test_account = { + "access_token": "test_token_" + str(os.getpid()), + "type": "Free", + "status": "测试", + "quota": 0, + "email": "test@example.com", + } + + # 添加测试账号 + test_accounts = accounts + [test_account] + storage.save_accounts(test_accounts) + print("✅ 写入测试账号成功") + + # 验证写入 + reloaded = storage.load_accounts() + if len(reloaded) == len(test_accounts): + print("✅ 验证写入成功") + else: + print(f"❌ 验证失败: 期望 {len(test_accounts)} 个账号，实际 {len(reloaded)} 个") + return False + + # 恢复原始数据 + storage.save_accounts(accounts) + print("✅ 恢复原始数据") + + print("\n" + "=" * 60) + print("✅ 所有测试通过！") + print("=" * 60) + return True + + except Exception as e: + print(f"\n❌ 测试失败: {e}") + import traceback + traceback.print_exc() + return False + + +if __name__ == "__main__": + success = test_storage() + sys.exit(0 if success else 1) diff --git a/scripts/verify_oauth_refresh.py b/scripts/verify_oauth_refresh.py new file mode 100644 index 0000000000000000000000000000000000000000..4f2650d2facda2e08173d1b8d074d5944e277309 --- /dev/null +++ b/scripts/verify_oauth_refresh.py @@ -0,0 +1,92 @@ +"""验证 OAuth 账号的自动刷新是否生效。 + +用法（在容器内，工作目录 /app）： + uv run python scripts/verify_oauth_refresh.py # 只读诊断，安全 + uv run python scripts/verify_oauth_refresh.py --force # 真正触发一次刷新 + +只读模式：列出每个账号的 access_token 剩余有效期、是否带 refresh_token、 + 上次刷新时间与上次刷新错误，判断"有没有料可刷"。 +--force ：对每个带 refresh_token 的账号强制走一次 refresh_access_token(force=True)， + 直接验证 refresh_token + 本项目 client_id 能否从 OpenAI 换出新 access_token。 + 这会真实轮换 access_token（新 token 有效，不损坏账号）。 +""" +from __future__ import annotations + +import sys + +from services.account_service import account_service + + +def _fmt_remaining(seconds: int | None) -> str: + if seconds is None: + return "无法解析 exp" + if seconds <= 0: + return f"已过期 {(-seconds) // 3600}h" + return f"{seconds // 3600}h{(seconds % 3600) // 60}m 后过期" + + +def diagnose() -> list[str]: + """只读：打印每个账号的刷新就绪状态，返回带 refresh_token 的 token 列表。""" + tokens = account_service.list_tokens() + print(f"账号总数: {len(tokens)}\n") + refreshable: list[str] = [] + for token in tokens: + account = account_service.get_account(token) or {} + remaining = account_service._token_expires_in(token) + has_rt = bool(str(account.get("refresh_token") or "").strip()) + if has_rt: + refreshable.append(token) + print(f"- email={account.get('email') or '(未知)'}") + print(f" access_token[:20] = {token[:20]}...") + print(f" 距过期 = {_fmt_remaining(remaining)}") + print(f" refresh_token = {'有 ✅' if has_rt else '无 ❌（无法自动刷新）'}") + print(f" last_token_refresh_at = {account.get('last_token_refresh_at')}") + print(f" last_token_refresh_error = {account.get('last_token_refresh_error')}") + print() + return refreshable + + +def force_refresh(tokens: list[str]) -> None: + """对每个账号 force 刷新一次，并对比前后状态判断成败。""" + if not tokens: + print("没有带 refresh_token 的账号，无法验证刷新。") + return + print("=" * 60) + print(f"开始对 {len(tokens)} 个账号 force 刷新（真实调用 OpenAI）...\n") + ok = 0 + for token in tokens: + before = account_service.get_account(token) or {} + new_token = account_service.refresh_access_token(token, force=True, event="manual_verify") + after = account_service.get_account(new_token) or {} + err = str(after.get("last_token_refresh_error") or "").strip() + rotated = new_token != token + success = bool(new_token) and not err + if success: + ok += 1 + print(f"- email={before.get('email') or '(未知)'}") + print(f" 旧 access_token[:20] = {token[:20]}...") + print(f" 新 access_token[:20] = {new_token[:20]}...") + print(f" token 是否轮换 = {'是' if rotated else '否（exp 未到刷新窗口时可能返回原值）'}") + print(f" last_token_refresh_at = {after.get('last_token_refresh_at')}") + print(f" last_token_refresh_error = {after.get('last_token_refresh_error') or '无'}") + print(f" >>> 刷新结果 = {'成功 ✅' if success else '失败 ❌'}") + print() + print("=" * 60) + print(f"汇总: {ok}/{len(tokens)} 个账号刷新成功") + if ok == len(tokens): + print("✅ 自动刷新机制对这些账号完全可用——refresh_token 与 client_id 匹配。") + else: + print("❌ 有账号刷新失败，看上面的 last_token_refresh_error，或 docker logs 里的 [oauth-login]/refresh 日志。") + + +def main() -> None: + do_force = "--force" in sys.argv[1:] + refreshable = diagnose() + if do_force: + force_refresh(refreshable) + else: + print("提示: 加 --force 参数可真正触发一次刷新以验证能否成功。") + + +if __name__ == "__main__": + main() diff --git a/services/__init__.py b/services/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/services/account_service.py b/services/account_service.py new file mode 100644 index 0000000000000000000000000000000000000000..faf844131fac6214034ef2651e560e6ff57f3095 --- /dev/null +++ b/services/account_service.py @@ -0,0 +1,1651 @@ +from __future__ import annotations + +import base64 +import json +import secrets +import time +import uuid +from concurrent.futures import ThreadPoolExecutor, as_completed +from datetime import datetime, timedelta, timezone +from pathlib import Path +from threading import Condition, Lock, Thread +from typing import Any +from urllib.parse import urlencode + +from services.config import config +from services.log_service import ( + LOG_TYPE_ACCOUNT, + log_service, +) +from services.storage.base import StorageBackend +from utils.helper import anonymize_token + + +class AccountService: + """账号池服务，使用 token -> account 的 dict 保存账号。""" + + _NEW_ACCOUNT_INVALID_GRACE_SECONDS = 10 * 60 + _INVALID_CONFIRM_SECONDS = 30 + _ACCESS_TOKEN_REFRESH_SKEW_SECONDS = 24 * 60 * 60 + _REFRESH_TOKEN_KEEPALIVE_SECONDS = 3 * 24 * 60 * 60 + _REFRESH_TOKEN_KEEPALIVE_ERROR_BACKOFF_SECONDS = 6 * 60 * 60 + _REFRESH_TOKEN_KEEPALIVE_BATCH_SIZE = 3 + _TOKEN_REFRESH_ERROR_BACKOFF_SECONDS = 5 * 60 + _OAUTH_TOKEN_URL = "https://auth.openai.com/oauth/token" + _OAUTH_CLIENT_ID = "app_2SKx67EdpoN0G6j64rFvigXD" + _OAUTH_USER_AGENT = ( + "Mozilla/5.0 (Windows NT 10.0; Win64; x64) " + "AppleWebKit/537.36 (KHTML, like Gecko) " + "Chrome/145.0.0.0 Safari/537.36" + ) + + # 刷新进度追踪 + _refresh_progress: dict[str, dict] = {} + _refresh_progress_lock = Lock() + # 重新登录进度追踪 + _relogin_progress: dict[str, dict] = {} + _relogin_progress_lock = Lock() + + def __init__(self, storage_backend: StorageBackend): + self.storage = storage_backend + self._lock = Lock() + self._token_refresh_lock = Lock() + self._image_slot_condition = Condition(self._lock) + self._index = 0 + self._accounts = self._load_accounts() + self._image_inflight: dict[str, int] = {} + self._token_aliases: dict[str, str] = {} + self._cumulative_total = self._load_cumulative_total() + + def _get_cumulative_file(self) -> Path: + from services.config import DATA_DIR + return DATA_DIR / ".cumulative_total" + + def _load_cumulative_total(self) -> int: + try: + f = self._get_cumulative_file() + if f.exists(): + return int(f.read_text().strip()) + except Exception: + pass + return len(self._accounts) + + def _save_cumulative_total(self) -> None: + try: + self._get_cumulative_file().write_text(str(self._cumulative_total)) + except Exception: + pass + + @staticmethod + def _now() -> str: + return datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S") + + @staticmethod + def _decode_jwt_payload(token: str) -> dict: + try: + payload = str(token or "").split(".")[1] + payload += "=" * ((4 - len(payload) % 4) % 4) + import base64 + import json + data = json.loads(base64.urlsafe_b64decode(payload.encode("ascii"))) + return data if isinstance(data, dict) else {} + except Exception: + return {} + + @staticmethod + def _parse_time(value: object) -> datetime | None: + raw = str(value or "").strip() + if not raw: + return None + try: + parsed = datetime.fromisoformat(raw.replace("Z", "+00:00")) + except Exception: + try: + parsed = datetime.strptime(raw, "%Y-%m-%d %H:%M:%S") + except Exception: + return None + if parsed.tzinfo is None: + parsed = parsed.replace(tzinfo=timezone.utc) + return parsed.astimezone(timezone.utc) + + @staticmethod + def _timestamp_to_iso(value: object) -> str: + try: + ts = int(value) + except (TypeError, ValueError): + return "" + tz = timezone(timedelta(hours=8)) + return datetime.fromtimestamp(ts, tz=timezone.utc).astimezone(tz).isoformat() + + def _load_accounts(self) -> dict[str, dict]: + accounts = self.storage.load_accounts() + return { + normalized["access_token"]: normalized + for item in accounts + if (normalized := self._normalize_account(item)) is not None + } + + def _save_accounts(self) -> None: + self.storage.save_accounts(list(self._accounts.values())) + + @staticmethod + def _is_image_account_available(account: dict) -> bool: + if not isinstance(account, dict): + return False + if account.get("status") in {"禁用", "限流", "异常"}: + return False + if bool(account.get("image_quota_unknown")): + return True + return int(account.get("quota") or 0) > 0 + + @classmethod + def _account_matches_plan_type(cls, account: dict, plan_type: str | None = None) -> bool: + if not plan_type: + return True + normalized_plan = cls._normalize_account_type(plan_type) + normalized_account = cls._normalize_account_type(account.get("type")) + if not normalized_plan or not normalized_account: + return False + return normalized_plan.lower() == normalized_account.lower() + + @classmethod + def _account_matches_source_type(cls, account: dict, source_type: str | None = None) -> bool: + if not source_type: + return True + return cls._normalize_source_type(account.get("source_type")) == cls._normalize_source_type(source_type) + + @classmethod + def _account_matches_any_plan_type(cls, account: dict, plan_types: set[str] | tuple[str, ...] | None = None) -> bool: + if not plan_types: + return True + normalized_account = cls._normalize_account_type(account.get("type")) + normalized_plans = { + normalized + for plan_type in plan_types + if (normalized := cls._normalize_account_type(plan_type)) + } + return bool(normalized_account and normalized_account in normalized_plans) + + @staticmethod + def _normalize_source_type(value: object) -> str: + return str(value or "web").strip().lower() or "web" + + @staticmethod + def _normalize_account_type(value: object) -> str | None: + raw = str(value or "").strip() + if not raw: + return None + key = raw.lower().replace("-", "_").replace(" ", "_") + compact = key.replace("_", "") + aliases = { + "free": "free", + "plus": "Plus", + "pro": "Pro", + "prolite": "ProLite", + "team": "Team", + "business": "Team", + "enterprise": "Enterprise", + } + return aliases.get(compact) or aliases.get(key) or raw + + def _search_account_type(self, payload: object) -> str | None: + if isinstance(payload, dict): + for key in ("plan_type", "account_plan", "account_type", "subscription_type", "type"): + plan = self._normalize_account_type(payload.get(key)) + if plan: + return plan + for value in payload.values(): + plan = self._search_account_type(value) + if plan: + return plan + elif isinstance(payload, list): + for value in payload: + plan = self._search_account_type(value) + if plan: + return plan + return None + + def _normalize_account(self, item: dict) -> dict | None: + if not isinstance(item, dict): + return None + access_token = item.get("access_token") or item.get("accessToken") or "" + if not access_token: + return None + normalized = dict(item) + normalized.pop("accessToken", None) + normalized["access_token"] = access_token + if str(normalized.get("type") or "").strip().lower() == "codex": + normalized["export_type"] = "codex" + normalized.pop("type", None) + normalized["type"] = normalized.get("type") or "free" + normalized["status"] = normalized.get("status") or "正常" + normalized["quota"] = max(0, int(normalized.get("quota") if normalized.get("quota") is not None else 0)) + normalized["image_quota_unknown"] = bool(normalized.get("image_quota_unknown")) + normalized["email"] = normalized.get("email") or None + normalized["user_id"] = normalized.get("user_id") or None + normalized["proxy"] = str(normalized.get("proxy") or "").strip() + source_type = normalized.get("source_type") + if not source_type and str(normalized.get("export_type") or "").strip().lower() == "codex": + source_type = "codex" + normalized["source_type"] = self._normalize_source_type(source_type) + limits_progress = normalized.get("limits_progress") + normalized["limits_progress"] = limits_progress if isinstance(limits_progress, list) else [] + normalized["default_model_slug"] = normalized.get("default_model_slug") or None + normalized["restore_at"] = normalized.get("restore_at") or None + normalized["success"] = int(normalized.get("success") or 0) + normalized["fail"] = int(normalized.get("fail") or 0) + normalized["invalid_count"] = int(normalized.get("invalid_count") or 0) + normalized["last_used_at"] = normalized.get("last_used_at") + normalized["last_invalid_at"] = normalized.get("last_invalid_at") or None + normalized["last_refresh_error"] = normalized.get("last_refresh_error") or None + normalized["last_refresh_error_at"] = normalized.get("last_refresh_error_at") or None + normalized["last_token_refresh_at"] = normalized.get("last_token_refresh_at") or None + normalized["last_token_refresh_error"] = normalized.get("last_token_refresh_error") or None + normalized["last_token_refresh_error_at"] = normalized.get("last_token_refresh_error_at") or None + normalized["created_at"] = normalized.get("created_at") or AccountService._now() + return normalized + + @staticmethod + def _jwt_exp(access_token: str) -> int: + try: + return int(AccountService._decode_jwt_payload(access_token).get("exp") or 0) + except (TypeError, ValueError): + return 0 + + @classmethod + def _token_expires_in(cls, access_token: str) -> int | None: + exp = cls._jwt_exp(access_token) + if exp <= 0: + return None + return exp - int(time.time()) + + @classmethod + def _token_needs_refresh(cls, access_token: str, *, force: bool = False) -> bool: + if force: + return True + remaining = cls._token_expires_in(access_token) + return remaining is not None and remaining <= cls._ACCESS_TOKEN_REFRESH_SKEW_SECONDS + + @classmethod + def _token_issued_at(cls, access_token: str) -> datetime | None: + try: + iat = int(cls._decode_jwt_payload(access_token).get("iat") or 0) + except (TypeError, ValueError): + return None + if iat <= 0: + return None + return datetime.fromtimestamp(iat, tz=timezone.utc) + + @staticmethod + def _safe_response_text(response: object, limit: int = 300) -> str: + try: + return str(getattr(response, "text", "") or "")[:limit] + except Exception: + return "" + + def _resolve_access_token_locked(self, access_token: str) -> str: + token = str(access_token or "").strip() + seen: set[str] = set() + while token and token not in self._accounts and token in self._token_aliases and token not in seen: + seen.add(token) + token = self._token_aliases.get(token, token) + return token + + def resolve_access_token(self, access_token: str) -> str: + if not access_token: + return "" + with self._lock: + return self._resolve_access_token_locked(access_token) + + def _get_account_for_token(self, access_token: str) -> tuple[str, dict | None]: + with self._lock: + resolved = self._resolve_access_token_locked(access_token) + account = self._accounts.get(resolved) + return resolved, dict(account) if account else None + + def _record_token_refresh_error(self, access_token: str, event: str, error: str) -> None: + now = datetime.now(timezone.utc).isoformat() + with self._lock: + resolved = self._resolve_access_token_locked(access_token) + current = self._accounts.get(resolved) + if current is None: + return + next_item = dict(current) + next_item["last_token_refresh_error"] = str(error or "refresh token failed") + next_item["last_token_refresh_error_at"] = now + account = self._normalize_account(next_item) + if account is not None: + self._accounts[resolved] = account + self._save_accounts() + log_service.add( + LOG_TYPE_ACCOUNT, + "refresh_token 刷新 access_token 失败", + {"source": event, "token": anonymize_token(access_token), "error": str(error or "")}, + ) + + def _recent_token_refresh_error(self, account: dict) -> bool: + last_error_at = self._parse_time(account.get("last_token_refresh_error_at")) + if last_error_at is None: + return False + return (datetime.now(timezone.utc) - last_error_at).total_seconds() < self._TOKEN_REFRESH_ERROR_BACKOFF_SECONDS + + def _recent_refresh_token_keepalive_error(self, account: dict, now: datetime) -> bool: + last_error_at = self._parse_time(account.get("last_token_refresh_error_at")) + if last_error_at is None: + return False + return (now - last_error_at).total_seconds() < self._REFRESH_TOKEN_KEEPALIVE_ERROR_BACKOFF_SECONDS + + def _refresh_token_keepalive_anchor(self, account: dict) -> datetime | None: + return ( + self._parse_time(account.get("last_token_refresh_at")) + or self._token_issued_at(str(account.get("access_token") or "")) + or self._parse_time(account.get("created_at")) + ) + + def _refresh_token_keepalive_due_at(self, account: dict, now: datetime) -> datetime | None: + if not str(account.get("refresh_token") or "").strip(): + return None + if account.get("status") == "禁用": + return None + if self._recent_refresh_token_keepalive_error(account, now): + return None + anchor = self._refresh_token_keepalive_anchor(account) + if anchor is None: + return now + due_at = anchor + timedelta(seconds=self._REFRESH_TOKEN_KEEPALIVE_SECONDS) + return due_at if due_at <= now else None + + def _request_access_token_refresh(self, refresh_token: str, account: dict | None = None) -> dict[str, str]: + from curl_cffi import requests + from services.proxy_service import proxy_settings + + session = requests.Session(**proxy_settings.build_session_kwargs(account=account, impersonate="chrome", verify=True)) + try: + response = session.post( + self._OAUTH_TOKEN_URL, + headers={ + "Accept": "application/json", + "Content-Type": "application/x-www-form-urlencoded", + "User-Agent": self._OAUTH_USER_AGENT, + }, + data={ + "grant_type": "refresh_token", + "refresh_token": refresh_token, + "client_id": self._OAUTH_CLIENT_ID, + }, + timeout=60, + ) + data = response.json() if response.text else {} + if response.status_code != 200 or not isinstance(data, dict) or not data.get("access_token"): + detail = "" + if isinstance(data, dict): + detail = str(data.get("error_description") or data.get("error") or data.get("message") or "") + detail = detail or self._safe_response_text(response) + raise RuntimeError(f"oauth_refresh_http_{response.status_code}{': ' + detail if detail else ''}") + return { + "access_token": str(data.get("access_token") or "").strip(), + "refresh_token": str(data.get("refresh_token") or refresh_token).strip(), + "id_token": str(data.get("id_token") or "").strip(), + } + finally: + session.close() + + def _apply_refreshed_tokens(self, old_access_token: str, token_data: dict, event: str) -> str: + now = datetime.now(timezone.utc).isoformat() + with self._image_slot_condition: + old_token = self._resolve_access_token_locked(old_access_token) + current = self._accounts.get(old_token) + if current is None: + return old_token + new_token = str(token_data.get("access_token") or old_token).strip() + if not new_token: + return old_token + + next_item = dict(current) + next_item["access_token"] = new_token + if token_data.get("refresh_token"): + next_item["refresh_token"] = str(token_data.get("refresh_token") or "").strip() + if token_data.get("id_token"): + next_item["id_token"] = str(token_data.get("id_token") or "").strip() + next_item["last_token_refresh_at"] = now + next_item["last_token_refresh_error"] = None + next_item["last_token_refresh_error_at"] = None + next_item["invalid_count"] = 0 + next_item["last_invalid_at"] = None + next_item["last_refresh_error"] = None + next_item["last_refresh_error_at"] = None + + account = self._normalize_account(next_item) + if account is None: + return old_token + + rotated = new_token != old_token + if rotated: + self._accounts.pop(old_token, None) + self._token_aliases[old_token] = new_token + old_inflight = int(self._image_inflight.pop(old_token, 0)) + if old_inflight: + self._image_inflight[new_token] = int(self._image_inflight.get(new_token, 0)) + old_inflight + self._accounts[new_token] = account + self._save_accounts() + self._image_slot_condition.notify_all() + + log_service.add( + LOG_TYPE_ACCOUNT, + "refresh_token 已刷新 access_token", + {"source": event, "token": anonymize_token(new_token), "rotated": rotated}, + ) + return new_token + + def refresh_access_token(self, access_token: str, *, force: bool = False, event: str = "refresh_access_token") -> str: + if not access_token: + return "" + with self._token_refresh_lock: + resolved_token, account = self._get_account_for_token(access_token) + if not account: + return access_token + active_token = str(account.get("access_token") or resolved_token or access_token) + if not self._token_needs_refresh(active_token, force=force): + return active_token + refresh_token = str(account.get("refresh_token") or "").strip() + if not refresh_token: + return active_token + if not force and self._recent_token_refresh_error(account): + return active_token + try: + token_data = self._request_access_token_refresh(refresh_token, account) + except Exception as exc: + error_str = str(exc or "") + self._record_token_refresh_error(active_token, event, error_str) + # 如果是 app_session_terminated 错误，尝试密码重新登录 + if "app_session_terminated" in error_str.lower(): + # 获取账号信息（email, password） + email = str(account.get("email") or "").strip() + password = str(account.get("password") or "").strip() + if email and password: + # 创建新线程执行密码重新登录 + t = Thread( + target=self._password_re_login_thread, + args=(active_token, email, password, event), + daemon=True, + ) + t.start() + return active_token + return self._apply_refreshed_tokens(active_token, token_data, event) + + def _password_re_login_thread(self, access_token: str, email: str, password: str, event: str, progress_id: str | None = None) -> None: + """密码重新登录线程入口""" + try: + result = self._login_with_password(email, password) + if result.get("ok"): + # 登录成功，更新账号 + new_access_token = result.get("access_token", "") + new_refresh_token = result.get("refresh_token", "") + new_id_token = result.get("id_token", "") + new_expires_at = result.get("expires_at") + + # 构建 token_data 供 _apply_refreshed_tokens 使用 + token_data = { + "access_token": new_access_token, + "refresh_token": new_refresh_token, + "id_token": new_id_token, + } + + # 使用 _apply_refreshed_tokens 更新账号（处理 token 别名） + new_token = self._apply_refreshed_tokens(access_token, token_data, f"{event}:password_relogin") + + # 额外更新 source_type 和 status（静默，避免重复日志） + self.update_account(new_token, { + "source_type": result.get("source_type", "password"), + "status": "正常", + }, quiet=True) + + log_service.add( + LOG_TYPE_ACCOUNT, + "更新账号", + { + "source": event, + "old_token": anonymize_token(access_token), + "new_token": anonymize_token(new_access_token), + "email": email, + "status": "成功", + }, + ) + if progress_id: + self.update_relogin_progress(progress_id, access_token, "成功") + else: + # 登录失败 + error_type = result.get("error", "") + if error_type == "password_verify_failed_403" and isinstance(result.get("detail"), dict): + log_service.add( + LOG_TYPE_ACCOUNT, + "更新账号", + { + "source": event, + "token": anonymize_token(access_token), + "email": email, + "status": "失败", + "error": error_type, + "detail": result.get("detail", {}), + }, + ) + detail_error = result["detail"].get("error", {}) + if isinstance(detail_error, dict) and detail_error.get("code") == "account_deactivated": + # 账号已删除/停用 → 标记为禁用 + self.update_account(access_token, {"status": "禁用", "quota": 0}, quiet=True) + account = self.get_account(access_token) or {} + log_service.add( + LOG_TYPE_ACCOUNT, + "账号已停用-标记禁用", + { + "source": event, + "token": anonymize_token(access_token), + "email": email, + "detail": result.get("detail", {}), + }, + ) + if progress_id: + self.update_relogin_progress(progress_id, access_token, "禁用") + else: + # 永久故障：将账号标记为异常（或自动移除） + self.remove_invalid_token(access_token, f"{event}:password_relogin_failed", quiet=True) + if progress_id: + self.update_relogin_progress(progress_id, access_token, "异常", error_type) + else: + log_service.add( + LOG_TYPE_ACCOUNT, + "更新账号", + { + "source": event, + "token": anonymize_token(access_token), + "email": email, + "status": "失败", + "error": error_type, + "detail": result.get("detail", {}), + }, + ) + # 永久故障：将账号标记为异常（或自动移除） + self.remove_invalid_token(access_token, f"{event}:password_relogin_failed", quiet=True) + if progress_id: + self.update_relogin_progress(progress_id, access_token, "异常", error_type) + except Exception as exc: + log_service.add( + LOG_TYPE_ACCOUNT, + "更新账号", + { + "source": event, + "token": anonymize_token(access_token), + "email": email, + "status": "异常", + "error": str(exc), + }, + ) + # 将账号标记为异常（或自动移除） + self.remove_invalid_token(access_token, f"{event}:password_relogin_exception", quiet=True) + if progress_id: + self.update_relogin_progress(progress_id, access_token, "异常", str(exc)) + + def _login_with_password(self, email: str, password: str) -> dict: + """通过邮箱+密码登录，返回 {access_token, refresh_token, id_token, ...}""" + from curl_cffi import requests + + # 常量 + auth_base = "https://auth.openai.com" + platform_oauth_audience = "https://api.openai.com/v1" + platform_auth0_client = "eyJuYW1lIjoiYXV0aDAtc3BhLWpzIiwidmVyc2lvbiI6IjEuMjEuMCJ9" + platform_oauth_client_id = self._OAUTH_CLIENT_ID + platform_oauth_redirect_uri = "https://platform.openai.com/auth/callback" + user_agent = self._OAUTH_USER_AGENT + + # 创建 session + session_kwargs = {"impersonate": "chrome110", "verify": False} + proxy = config.get_proxy_settings() + if proxy: + session_kwargs["proxy"] = proxy + session = requests.Session(**session_kwargs) + + try: + device_id = str(uuid.uuid4()) + + # ─── 方式2: OAuth authorize 流程 ────────────────────────── + # 使用 Platform Client + PKCE（与注册流程相同） + + from utils.pkce import generate_pkce + code_verifier, code_challenge = generate_pkce() + + # ② 发起 OAuth authorize 请求 (使用 Platform Client + PKCE) + session.cookies.set("oai-did", device_id, domain=".auth.openai.com") + session.cookies.set("oai-did", device_id, domain="auth.openai.com") + params = { + "issuer": auth_base, + "client_id": platform_oauth_client_id, + "audience": platform_oauth_audience, + "redirect_uri": platform_oauth_redirect_uri, + "device_id": device_id, + "screen_hint": "login_or_signup", + "max_age": "0", + "login_hint": email, + "scope": "openid profile email offline_access", + "response_type": "code", + "response_mode": "query", + "state": secrets.token_urlsafe(32), + "nonce": secrets.token_urlsafe(32), + "code_challenge": code_challenge, + "code_challenge_method": "S256", + "auth0Client": platform_auth0_client, + } + authorize_url = f"{auth_base}/api/accounts/authorize?{urlencode(params)}" + resp = session.get( + authorize_url, + headers={ + "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8", + "accept-language": "zh-CN,zh;q=0.9,en;q=0.8", + "user-agent": user_agent, + "sec-ch-ua": '"Chromium";v="145", "Google Chrome";v="145", "Not/A)Brand";v="99"', + "sec-ch-ua-mobile": "?0", + "sec-ch-ua-platform": '"Windows"', + "sec-fetch-dest": "document", + "sec-fetch-mode": "navigate", + "sec-fetch-site": "cross-site", + "sec-fetch-user": "?1", + "upgrade-insecure-requests": "1", + "referer": "https://platform.openai.com/", + }, + allow_redirects=True, + timeout=30, + ) + + if resp.status_code not in (200, 302): + return {"ok": False, "error": f"authorize_failed_{resp.status_code}", "detail": {"url": resp.url, "text": resp.text[:500]}} + + # 检测最终 URL 是否指向错误页面 + final_url = str(resp.url) + if "/error" in final_url and "payload=" in final_url: + from urllib.parse import parse_qs, urlparse + try: + parsed_query = parse_qs(urlparse(final_url).query) + error_payload_b64 = parsed_query.get("payload", [""])[0] + error_payload_b64 += "=" * ((4 - len(error_payload_b64) % 4) % 4) + error_payload = json.loads(base64.b64decode(error_payload_b64)) + error_code = error_payload.get("errorCode", "") + if error_code == "rate_limit_exceeded": + return {"ok": False, "error": "rate_limit_exceeded", "detail": error_payload} + else: + return {"ok": False, "error": f"authorize_error_{error_code}", "detail": error_payload} + except Exception as e: + return {"ok": False, "error": "authorize_redirect_error", "detail": {"url": final_url, "parse_error": str(e)}} + + # ③ 提交密码验证 + login_headers = { + "accept": "application/json", + "accept-language": "zh-CN,zh;q=0.9", + "content-type": "application/json", + "origin": auth_base, + "priority": "u=1, i", + "user-agent": user_agent, + "sec-ch-ua": '"Chromium";v="145", "Google Chrome";v="145", "Not/A)Brand";v="99"', + "sec-ch-ua-mobile": "?0", + "sec-ch-ua-platform": '"Windows"', + "sec-fetch-dest": "empty", + "sec-fetch-mode": "cors", + "sec-fetch-site": "same-origin", + "referer": f"{auth_base}/email-verification", + "oai-device-id": device_id, + } + + # 添加 sentinel token + try: + from utils.sentinel import build_sentinel_token + sentinel_val, oai_sc_val = build_sentinel_token(session, device_id, "password_verify") + login_headers["openai-sentinel-token"] = sentinel_val + if oai_sc_val: + session.cookies.set("oai-sc", oai_sc_val, domain=".openai.com") + except Exception: + pass + + login_resp = session.post( + f"{auth_base}/api/accounts/password/verify", + headers=login_headers, + json={"password": password}, + timeout=30, + ) + + login_data = {} + try: + login_data = login_resp.json() if login_resp.text else {} + except Exception: + pass + + if login_resp.status_code != 200: + error_code = login_data.get("error", {}).get("code", "") + error_msg = login_data.get("error", {}).get("message", "") + if error_code == "unsupported_country_region_territory": + return {"ok": False, "error": "unsupported_country_region_territory", "detail": login_data} + elif error_code == "invalid_state": + return {"ok": False, "error": "invalid_state", "detail": login_data} + elif "Invalid credentials" in error_msg or "wrong password" in error_msg.lower(): + return {"ok": False, "error": "invalid_password", "detail": login_data} + return {"ok": False, "error": f"password_verify_failed_{login_resp.status_code}", "detail": login_data} + + # 获取 authorization code + continue_url = str(login_data.get("continue_url") or "").strip() + auth_code = "" + if continue_url: + from urllib.parse import parse_qs, urlparse + parsed_params = parse_qs(urlparse(continue_url).query) + auth_code = str((parsed_params.get("code") or [""])[0]).strip() + + # ─── 处理邮箱 OTP 验证 ────────────────────────── + if not auth_code: + page_type = "" + page_info = login_data.get("page") + if isinstance(page_info, dict): + page_type = str(page_info.get("type") or "") + + if page_type == "email_otp_verification": + # 需要验证码才能登录，直接标记为账号异常 + return {"ok": False, "error": "need_verification_code", "detail": login_data} + else: + return {"ok": False, "error": "no_auth_code", "detail": login_data} + + # ④ 用 code 换 token (使用 Platform Client + code_verifier，与注册流程相同) + platform_base = "https://platform.openai.com" + token_resp = session.post( + f"{auth_base}/api/accounts/oauth/token", + headers={ + "accept": "*/*", + "accept-language": "zh-CN,zh;q=0.9", + "auth0-client": platform_auth0_client, + "cache-control": "no-cache", + "content-type": "application/json", + "origin": platform_base, + "pragma": "no-cache", + "priority": "u=1, i", + "referer": f"{platform_base}/", + "sec-ch-ua": '"Chromium";v="145", "Google Chrome";v="145", "Not/A)Brand";v="99"', + "sec-ch-ua-mobile": "?0", + "sec-ch-ua-platform": '"Windows"', + "sec-fetch-dest": "empty", + "sec-fetch-mode": "cors", + "sec-fetch-site": "same-site", + "user-agent": user_agent, + }, + json={ + "client_id": platform_oauth_client_id, + "code_verifier": code_verifier, + "grant_type": "authorization_code", + "code": auth_code, + "redirect_uri": platform_oauth_redirect_uri, + }, + verify=False, + timeout=60, + ) + + token_data = {} + try: + token_data = token_resp.json() if token_resp.text else {} + except Exception: + pass + + if token_resp.status_code != 200 or not token_data.get("access_token"): + return {"ok": False, "error": "token_exchange_failed", "detail": token_data} + + access_token = str(token_data.get("access_token") or "").strip() + refresh_token = str(token_data.get("refresh_token") or "").strip() + id_token = str(token_data.get("id_token") or "").strip() + + # ⑤ 用 access_token 获取用户信息 + user_info = {} + try: + me_resp = session.get( + "https://chatgpt.com/backend-api/me", + headers={ + "accept": "application/json", + "authorization": f"Bearer {access_token}", + "user-agent": user_agent, + }, + timeout=30, + ) + if me_resp.status_code == 200: + user_info = me_resp.json() if me_resp.text else {} + except Exception: + pass + + # 解析 JWT payload + jwt_payload = self._decode_jwt_payload(access_token) + + email_from_jwt = str(jwt_payload.get("https://api.openai.com/profile", {}).get("email") or "").strip() + account_id_from_jwt = str( + jwt_payload.get("https://api.openai.com/auth", {}).get("chatgpt_account_id") or "" + ).strip() + + account_info = user_info.get("account") if isinstance(user_info.get("account"), dict) else {} + result = { + "ok": True, + "email": email_from_jwt or email, + "account_id": account_id_from_jwt or account_info.get("account_id", ""), + "access_token": access_token, + "refresh_token": refresh_token, + "id_token": id_token, + "expires_at": jwt_payload.get("exp"), + "source_type": "password", + } + + return result + + finally: + session.close() + + def list_expiring_access_tokens(self) -> list[str]: + with self._lock: + return [ + token + for account in self._accounts.values() + if str(account.get("refresh_token") or "").strip() + and (token := str(account.get("access_token") or "").strip()) + and self._token_needs_refresh(token) + ] + + def list_refresh_token_keepalive_tokens(self) -> list[str]: + now = datetime.now(timezone.utc) + due_items: list[tuple[datetime, str]] = [] + with self._lock: + for account in self._accounts.values(): + due_at = self._refresh_token_keepalive_due_at(account, now) + token = str(account.get("access_token") or "").strip() + if due_at is not None and token: + due_items.append((due_at, token)) + due_items.sort(key=lambda item: item[0]) + return [token for _, token in due_items[: self._REFRESH_TOKEN_KEEPALIVE_BATCH_SIZE]] + + def keepalive_refresh_tokens(self, access_tokens: list[str]) -> dict[str, Any]: + access_tokens = list(dict.fromkeys(token for token in access_tokens if token)) + if not access_tokens: + return {"refreshed": 0, "errors": [], "items": self.list_accounts()} + + refreshed = 0 + errors = [] + for access_token in access_tokens: + before = self.resolve_access_token(access_token) + after = self.refresh_access_token(before, force=True, event="refresh_token_keepalive") + account = self.get_account(after) + if account and str(account.get("last_token_refresh_error") or "").strip(): + errors.append({ + "token": anonymize_token(before), + "error": str(account.get("last_token_refresh_error") or "refresh token failed"), + }) + continue + if account: + refreshed += 1 + + return { + "refreshed": refreshed, + "errors": errors, + "items": self.list_accounts(), + "relogined": 0, + } + + def list_tokens(self) -> list[str]: + with self._lock: + return list(self._accounts) + + def _list_ready_candidate_tokens( + self, + excluded_tokens: set[str] | None = None, + plan_type: str | None = None, + source_type: str | None = None, + plan_types: set[str] | tuple[str, ...] | None = None, + ) -> list[str]: + excluded = set(excluded_tokens or set()) + return [ + token + for item in self._accounts.values() + if self._is_image_account_available(item) + and self._account_matches_plan_type(item, plan_type) + and self._account_matches_any_plan_type(item, plan_types) + and self._account_matches_source_type(item, source_type) + and (token := item.get("access_token") or "") + and token not in excluded + ] + + def _list_available_candidate_tokens( + self, + excluded_tokens: set[str] | None = None, + plan_type: str | None = None, + source_type: str | None = None, + plan_types: set[str] | tuple[str, ...] | None = None, + ) -> list[str]: + max_concurrency = max(1, int(config.image_account_concurrency or 1)) + return [ + token + for token in self._list_ready_candidate_tokens(excluded_tokens, plan_type, source_type, plan_types) + if int(self._image_inflight.get(token, 0)) < max_concurrency + ] + + def _acquire_next_candidate_token( + self, + excluded_tokens: set[str] | None = None, + plan_type: str | None = None, + source_type: str | None = None, + plan_types: set[str] | tuple[str, ...] | None = None, + ) -> str: + with self._image_slot_condition: + while True: + if not self._list_ready_candidate_tokens(excluded_tokens, plan_type, source_type, plan_types): + raise RuntimeError( + f"no available {plan_type or source_type or ''} image quota".replace(" ", " ").strip() + if plan_type or source_type else "no available image quota" + ) + tokens = self._list_available_candidate_tokens(excluded_tokens, plan_type, source_type, plan_types) + if tokens: + access_token = tokens[self._index % len(tokens)] + self._index += 1 + self._image_inflight[access_token] = int(self._image_inflight.get(access_token, 0)) + 1 + return access_token + self._image_slot_condition.wait(timeout=1.0) + + def release_image_slot(self, access_token: str) -> None: + if not access_token: + return + with self._image_slot_condition: + access_token = self._resolve_access_token_locked(access_token) + current_inflight = int(self._image_inflight.get(access_token, 0)) + if current_inflight <= 1: + self._image_inflight.pop(access_token, None) + else: + self._image_inflight[access_token] = current_inflight - 1 + self._image_slot_condition.notify_all() + + def get_available_access_token( + self, + plan_type: str | None = None, + source_type: str | None = None, + plan_types: set[str] | tuple[str, ...] | None = None, + ) -> str: + """从候选池中获取一个可用的图片生图 token。 + + 基于本地缓存做初筛，然后通过 fetch_remote_info 做远程验证（token 有效性、配额等）。 + 限制最大尝试次数防止 token rotation 导致无限循环。 + """ + max_attempts = 20 # 防止无限循环 + attempted_tokens: set[str] = set() + for _attempt in range(max_attempts): + access_token = self._acquire_next_candidate_token( + excluded_tokens=attempted_tokens, + plan_type=plan_type, + source_type=source_type, + plan_types=plan_types, + ) + attempted_tokens.add(access_token) + try: + account = self.fetch_remote_info(access_token, "get_available_access_token") + except Exception: + self.release_image_slot(access_token) + continue + # fetch_remote_info 内部可能因 token rotation 导致 access_token 变化， + # 把新 token 也加入排除列表，防止重复尝试 + resolved = str((account or {}).get("access_token") or "") + if resolved and resolved != access_token: + attempted_tokens.add(resolved) + if ( + self._is_image_account_available(account or {}) + and self._account_matches_plan_type(account or {}, plan_type) + and self._account_matches_any_plan_type(account or {}, plan_types) + and self._account_matches_source_type(account or {}, source_type) + ): + return str((account or {}).get("access_token") or access_token) + self.release_image_slot(access_token) + raise RuntimeError( + f"no available {plan_type or source_type or ''} image quota (tried {len(attempted_tokens)} tokens)".replace(" ", " ").strip() + if plan_type or source_type else f"no available image quota (tried {len(attempted_tokens)} tokens)" + ) + + def get_text_access_token(self, excluded_tokens: set[str] | None = None) -> str: + excluded = set(excluded_tokens or set()) + with self._lock: + candidates = [ + token + for account in self._accounts.values() + if account.get("status") not in {"禁用", "异常"} + and (token := account.get("access_token") or "") + and token not in excluded + ] + if not candidates: + return "" + access_token = candidates[self._index % len(candidates)] + self._index += 1 + return self.refresh_access_token(access_token, event="get_text_access_token") or access_token + + def mark_text_used(self, access_token: str) -> None: + if not access_token: + return + with self._lock: + access_token = self._resolve_access_token_locked(access_token) + current = self._accounts.get(access_token) + if current is None: + return + next_item = dict(current) + next_item["last_used_at"] = datetime.now().strftime("%Y-%m-%d %H:%M:%S") + account = self._normalize_account(next_item) + if account is None: + return + self._accounts[access_token] = account + self._save_accounts() + + def remove_invalid_token(self, access_token: str, event: str, quiet: bool = False) -> bool: + if not config.auto_remove_invalid_accounts: + self.update_account(access_token, {"status": "异常", "quota": 0}, quiet=quiet) + return False + removed = bool(self.delete_accounts([access_token])["removed"]) + if removed: + log_service.add(LOG_TYPE_ACCOUNT, "自动移除异常账号", + {"source": event, "token": anonymize_token(access_token)}) + elif access_token: + self.update_account(access_token, {"status": "异常", "quota": 0}, quiet=quiet) + return removed + + def get_account(self, access_token: str) -> dict | None: + if not access_token: + return None + with self._lock: + access_token = self._resolve_access_token_locked(access_token) + account = self._accounts.get(access_token) + return dict(account) if account else None + + def list_accounts(self) -> list[dict]: + with self._lock: + return [dict(item) for item in self._accounts.values()] + + def list_limited_tokens(self) -> list[str]: + with self._lock: + return [ + token + for item in self._accounts.values() + if item.get("status") == "限流" + and (token := item.get("access_token") or "") + ] + + @staticmethod + def _account_payload_token(item: dict) -> str: + return str(item.get("access_token") or item.get("accessToken") or "").strip() + + @staticmethod + def _prepare_account_payload(item: dict) -> dict | None: + if not isinstance(item, dict): + return None + access_token = AccountService._account_payload_token(item) + if not access_token: + return None + payload = dict(item) + payload.pop("accessToken", None) + payload["access_token"] = access_token + # CPA/Codex 导出文件里的 `type=codex` 是导出格式，不是号池套餐类型。 + if str(payload.get("type") or "").strip().lower() == "codex": + payload["export_type"] = "codex" + payload["source_type"] = "codex" + payload.pop("type", None) + if str(payload.get("export_type") or "").strip().lower() == "codex": + payload["source_type"] = "codex" + if payload.get("plan_type") and not payload.get("type"): + payload["type"] = str(payload.get("plan_type") or "").strip() + return payload + + def add_account_items(self, items: list[dict]) -> dict: + payloads = [ + payload + for item in items + if (payload := self._prepare_account_payload(item)) is not None + ] + return self._add_account_payloads(payloads) + + def add_accounts(self, tokens: list[str], source_type: str = "web") -> dict: + tokens = list(dict.fromkeys(token for token in tokens if token)) + if not tokens: + return {"added": 0, "skipped": 0, "items": self.list_accounts()} + return self._add_account_payloads([ + {"access_token": token, "source_type": self._normalize_source_type(source_type)} + for token in tokens + ]) + + def _add_account_payloads(self, payloads: list[dict]) -> dict: + deduped: dict[str, dict] = {} + for payload in payloads: + if not isinstance(payload, dict): + continue + access_token = self._account_payload_token(payload) + if not access_token: + continue + current = deduped.get(access_token, {}) + deduped[access_token] = {**current, **payload, "access_token": access_token} + + if not deduped: + return {"added": 0, "skipped": 0, "items": self.list_accounts()} + + with self._lock: + added = 0 + skipped = 0 + for access_token, payload in deduped.items(): + current = self._accounts.get(access_token) + if current is None: + added += 1 + self._cumulative_total += 1 + self._save_cumulative_total() + current = {"created_at": self._now()} + else: + skipped += 1 + incoming = dict(payload) + if not incoming.get("created_at"): + incoming.pop("created_at", None) + account = self._normalize_account( + { + **current, + **incoming, + "access_token": access_token, + "type": str(incoming.get("type") or current.get("type") or "free"), + } + ) + if account is not None: + self._accounts[access_token] = account + self._save_accounts() + items = [dict(item) for item in self._accounts.values()] + log_service.add(LOG_TYPE_ACCOUNT, f"新增 {added} 个账号，跳过 {skipped} 个", + {"added": added, "skipped": skipped}) + return {"added": added, "skipped": skipped, "items": items} + + def delete_accounts(self, tokens: list[str]) -> dict: + target_set = set(token for token in tokens if token) + if not target_set: + return {"removed": 0, "items": self.list_accounts()} + with self._lock: + target_set = {self._resolve_access_token_locked(token) for token in target_set if token} + removed = sum(self._accounts.pop(token, None) is not None for token in target_set) + for token in target_set: + self._image_inflight.pop(token, None) + self._token_aliases = { + old: new + for old, new in self._token_aliases.items() + if old not in target_set and new not in target_set + } + if removed: + if self._accounts: + self._index %= len(self._accounts) + else: + self._index = 0 + self._save_accounts() + log_service.add(LOG_TYPE_ACCOUNT, f"删除 {removed} 个账号", {"removed": removed}) + items = [dict(item) for item in self._accounts.values()] + return {"removed": removed, "items": items} + + def update_account(self, access_token: str, updates: dict, quiet: bool = False) -> dict | None: + if not access_token: + return None + with self._lock: + access_token = self._resolve_access_token_locked(access_token) + current = self._accounts.get(access_token) + if current is None: + return None + account = self._normalize_account({**current, **updates, "access_token": access_token}) + if account is None: + return None + if account.get("status") == "限流" and config.auto_remove_rate_limited_accounts: + self._accounts.pop(access_token, None) + self._save_accounts() + log_service.add(LOG_TYPE_ACCOUNT, "自动移除限流账号", {"token": anonymize_token(access_token)}) + return None + self._accounts[access_token] = account + self._save_accounts() + if not quiet: + log_service.add(LOG_TYPE_ACCOUNT, "更新账号", + {"token": anonymize_token(access_token), "status": account.get("status")}) + return dict(account) + return None + + def _record_refresh_success(self, access_token: str) -> None: + with self._lock: + access_token = self._resolve_access_token_locked(access_token) + current = self._accounts.get(access_token) + if current is None: + return + next_item = dict(current) + next_item["invalid_count"] = 0 + next_item["last_invalid_at"] = None + next_item["last_refresh_error"] = None + next_item["last_refresh_error_at"] = None + account = self._normalize_account(next_item) + if account is not None: + self._accounts[access_token] = account + + def _should_defer_invalid_token(self, account: dict | None, now: datetime) -> bool: + if not isinstance(account, dict): + return False + created_at = self._parse_time(account.get("created_at")) + if created_at is not None and (now - created_at).total_seconds() < self._NEW_ACCOUNT_INVALID_GRACE_SECONDS: + return True + last_invalid_at = self._parse_time(account.get("last_invalid_at")) + invalid_count = int(account.get("invalid_count") or 0) + if invalid_count <= 1: + return True + if last_invalid_at is not None and (now - last_invalid_at).total_seconds() < self._INVALID_CONFIRM_SECONDS: + return True + return False + + def _record_invalid_token_seen(self, access_token: str, event: str, error: str) -> bool: + now = datetime.now(timezone.utc) + with self._lock: + access_token = self._resolve_access_token_locked(access_token) + current = self._accounts.get(access_token) + if current is None: + return True + should_defer = self._should_defer_invalid_token(current, now) + next_item = dict(current) + next_item["invalid_count"] = int(next_item.get("invalid_count") or 0) + 1 + next_item["last_invalid_at"] = now.isoformat() + next_item["last_refresh_error"] = str(error or "invalid access token") + next_item["last_refresh_error_at"] = now.isoformat() + account = self._normalize_account(next_item) + if account is not None: + self._accounts[access_token] = account + self._save_accounts() + if should_defer: + log_service.add( + LOG_TYPE_ACCOUNT, + "暂缓标记异常账号", + {"source": event, "token": anonymize_token(access_token), "error": str(error or "")}, + ) + return False + return True + + def mark_image_result(self, access_token: str, success: bool) -> dict | None: + if not access_token: + return None + self.release_image_slot(access_token) + with self._lock: + access_token = self._resolve_access_token_locked(access_token) + current = self._accounts.get(access_token) + if current is None: + return None + next_item = dict(current) + next_item["last_used_at"] = datetime.now().strftime("%Y-%m-%d %H:%M:%S") + image_quota_unknown = bool(next_item.get("image_quota_unknown")) + if success: + next_item["success"] = int(next_item.get("success") or 0) + 1 + if not image_quota_unknown: + next_item["quota"] = max(0, int(next_item.get("quota") or 0) - 1) + if not image_quota_unknown and next_item["quota"] == 0: + next_item["status"] = "限流" + next_item["restore_at"] = next_item.get("restore_at") or None + elif next_item.get("status") == "限流": + next_item["status"] = "正常" + else: + next_item["fail"] = int(next_item.get("fail") or 0) + 1 + account = self._normalize_account(next_item) + if account is None: + return None + if account.get("status") == "限流" and config.auto_remove_rate_limited_accounts: + self._accounts.pop(access_token, None) + self._save_accounts() + log_service.add(LOG_TYPE_ACCOUNT, "自动移除限流账号", {"token": anonymize_token(access_token)}) + return None + self._accounts[access_token] = account + self._save_accounts() + return dict(account) + return None + + def fetch_remote_info(self, access_token: str, event: str = "fetch_remote_info") -> dict[str, Any] | None: + if not access_token: + raise ValueError("access_token is required") + + active_token = self.refresh_access_token(access_token, event=f"{event}:preflight") or access_token + try: + from services.openai_backend_api import InvalidAccessTokenError, OpenAIBackendAPI + result = OpenAIBackendAPI(active_token).get_user_info() + except InvalidAccessTokenError as exc: + refreshed_token = self.refresh_access_token(active_token, force=True, event=f"{event}:invalid_access_token") + if refreshed_token and refreshed_token != active_token: + try: + result = OpenAIBackendAPI(refreshed_token).get_user_info() + except InvalidAccessTokenError as retry_exc: + if self._record_invalid_token_seen(refreshed_token, event, str(retry_exc)): + self.remove_invalid_token(refreshed_token, event) + raise + active_token = refreshed_token + else: + if self._record_invalid_token_seen(active_token, event, str(exc)): + self.remove_invalid_token(active_token, event) + raise + self._record_refresh_success(active_token) + return self.update_account(active_token, result) + + # ---- 刷新进度追踪 ---- + + def init_refresh_progress(self, progress_id: str, total: int) -> None: + """初始化刷新进度记录。""" + with self._refresh_progress_lock: + self._refresh_progress[progress_id] = { + "total": total, + "processed": 0, + "done": False, + "error": None, + "status_counts": {"正常": 0, "限流": 0, "异常": 0, "禁用": 0}, + "total_quota": 0, + } + + def update_refresh_progress(self, progress_id: str, token: str) -> None: + """刷新单个账号后，更新进度计数。""" + account = self.get_account(token) + status = str(account.get("status") or "正常").strip() if account else "正常" + quota = max(0, int(account.get("quota") or 0)) if account else 0 + + with self._refresh_progress_lock: + progress = self._refresh_progress.get(progress_id) + if progress is None: + return + progress["processed"] += 1 + progress["status_counts"][status] = progress["status_counts"].get(status, 0) + 1 + progress["total_quota"] += quota + + def finish_refresh_progress(self, progress_id: str, result: dict | None = None, error: str | None = None) -> None: + """标记刷新完成。""" + with self._refresh_progress_lock: + progress = self._refresh_progress.get(progress_id) + if progress is None: + return + progress["done"] = True + progress["result"] = result + if error: + progress["error"] = error + + def get_refresh_progress(self, progress_id: str) -> dict | None: + """查询刷新进度。""" + with self._refresh_progress_lock: + progress = self._refresh_progress.get(progress_id) + return dict(progress) if progress else None + + def clean_refresh_progress(self, progress_id: str) -> None: + """清理过期进度记录。""" + with self._refresh_progress_lock: + self._refresh_progress.pop(progress_id, None) + + # ---- 重新登录进度追踪 ---- + + def init_relogin_progress(self, progress_id: str, total: int) -> None: + """初始化重新登录进度记录。""" + with self._relogin_progress_lock: + self._relogin_progress[progress_id] = { + "total": total, + "processed": 0, + "done": False, + "error": None, + "results": [], + } + + def update_relogin_progress(self, progress_id: str, token: str, status: str, error: str | None = None) -> None: + """更新单个重新登录进度。当所有账号处理完毕时自动标记完成。""" + with self._relogin_progress_lock: + progress = self._relogin_progress.get(progress_id) + if progress is None: + return + progress["processed"] += 1 + progress["results"].append({ + "token": anonymize_token(token), + "status": status, + "error": error, + }) + if progress["processed"] >= progress["total"]: + progress["done"] = True + + def finish_relogin_progress(self, progress_id: str, result: dict | None = None, error: str | None = None) -> None: + """标记重新登录完成。""" + with self._relogin_progress_lock: + progress = self._relogin_progress.get(progress_id) + if progress is None: + return + progress["done"] = True + progress["result"] = result + if error: + progress["error"] = error + + def get_relogin_progress(self, progress_id: str) -> dict | None: + """查询重新登录进度。""" + with self._relogin_progress_lock: + progress = self._relogin_progress.get(progress_id) + return dict(progress) if progress else None + + def clean_relogin_progress(self, progress_id: str) -> None: + """清理过期进度记录。""" + with self._relogin_progress_lock: + self._relogin_progress.pop(progress_id, None) + + def refresh_accounts(self, access_tokens: list[str], progress_id: str | None = None) -> dict[str, Any]: + access_tokens = list(dict.fromkeys(token for token in access_tokens if token)) + if not access_tokens: + items = self.list_accounts() + result = {"refreshed": 0, "errors": [], "items": items, "relogined": 0} + if progress_id: + self.finish_refresh_progress(progress_id, result) + return result + + refreshed = 0 + errors = [] + max_workers = min(10, len(access_tokens)) + + if progress_id: + self.init_refresh_progress(progress_id, len(access_tokens)) + + executor = ThreadPoolExecutor(max_workers=max_workers) + try: + futures = { + executor.submit(self.fetch_remote_info, token, "refresh_accounts"): token + for token in access_tokens + } + for future in as_completed(futures): + token = futures[future] + try: + account = future.result() + except (KeyboardInterrupt, SystemExit): + executor.shutdown(wait=False, cancel_futures=True) + raise + except Exception as exc: + error_str = str(exc) + # TLS/代理连接错误是网络问题，不计入账号失败 + from services.protocol.conversation import is_tls_connection_error + if not is_tls_connection_error(error_str): + errors.append({"token": anonymize_token(token), "error": error_str}) + else: + if account is not None: + refreshed += 1 + + if progress_id: + self.update_refresh_progress(progress_id, token) + except (KeyboardInterrupt, SystemExit): + if progress_id: + self.finish_refresh_progress(progress_id, error="cancelled") + executor.shutdown(wait=False, cancel_futures=True) + raise + else: + executor.shutdown(wait=True, cancel_futures=True) + + # 自动重新登录异常账号（仅当配置开启时） + relogined = 0 + if config.auto_relogin_after_refresh: + for token in access_tokens: + account = self.get_account(token) + if not account: + continue + status = str(account.get("status") or "").strip() + if status != "异常": + continue + email = str(account.get("email") or "").strip() + password = str(account.get("password") or "").strip() + if not email or not password: + continue + t = Thread( + target=self._password_re_login_thread, + args=(token, email, password, "auto_relogin_after_refresh"), + daemon=True, + ) + t.start() + relogined += 1 + + result = { + "refreshed": refreshed, + "errors": errors, + "items": self.list_accounts(), + "relogined": relogined, + } + + if progress_id: + self.finish_refresh_progress(progress_id, result) + + return result + + def re_login_accounts(self, access_tokens: list[str], progress_id: str | None = None) -> dict[str, Any]: + """对选中账号执行密码重新登录流程。 + + 仅对包含 email + password 的账号有效。 + 登录成功后自动将状态设为"正常"。 + """ + access_tokens = list(dict.fromkeys(token for token in access_tokens if token)) + if not access_tokens: + result = {"relogined": 0, "skipped": 0, "errors": [], "items": self.list_accounts()} + if progress_id: + self.finish_relogin_progress(progress_id, result) + return result + + if progress_id: + self.init_relogin_progress(progress_id, len(access_tokens)) + + relogined = 0 + skipped = 0 + errors = [] + + for token in access_tokens: + account = self.get_account(token) + if not account: + errors.append({"token": anonymize_token(token), "error": "账号不存在"}) + if progress_id: + self.update_relogin_progress(progress_id, token, "跳过", "账号不存在") + continue + + email = str(account.get("email") or "").strip() + password = str(account.get("password") or "").strip() + if not email or not password: + skipped += 1 + if progress_id: + self.update_relogin_progress(progress_id, token, "跳过", "无邮箱密码") + continue + + # 在新线程中执行密码重新登录 + t = Thread( + target=self._password_re_login_thread, + args=(token, email, password, "manual_relogin", progress_id), + daemon=True, + ) + t.start() + relogined += 1 + + result = { + "relogined": relogined, + "skipped": skipped, + "errors": errors, + "items": self.list_accounts(), + } + if progress_id: + # 如果所有账号都已同步处理完毕（没有启动线程），直接标记完成 + if relogined == 0: + self.finish_relogin_progress(progress_id, result) + else: + # 有线程在运行，等线程结束后再完成 + pass + return result + + def build_export_items(self, access_tokens: list[str] | None = None) -> list[dict[str, str]]: + target_tokens = set(token for token in (access_tokens or []) if token) + with self._lock: + accounts = [ + dict(item) + for item in self._accounts.values() + if not target_tokens or str(item.get("access_token") or "") in target_tokens + ] + + items: list[dict[str, str]] = [] + for account in accounts: + access_token = str(account.get("access_token") or "").strip() + refresh_token = str(account.get("refresh_token") or "").strip() + id_token = str(account.get("id_token") or "").strip() + if not access_token or not refresh_token or not id_token: + continue + + access_payload = self._decode_jwt_payload(access_token) + id_payload = self._decode_jwt_payload(id_token) + auth_claim = access_payload.get("https://api.openai.com/auth") + auth_claim = auth_claim if isinstance(auth_claim, dict) else {} + profile_claim = access_payload.get("https://api.openai.com/profile") + profile_claim = profile_claim if isinstance(profile_claim, dict) else {} + + email = ( + str(account.get("email") or "").strip() + or str(profile_claim.get("email") or "").strip() + or str(id_payload.get("email") or "").strip() + ) + account_id = ( + str(account.get("account_id") or "").strip() + or str(auth_claim.get("chatgpt_account_id") or "").strip() + or str(account.get("user_id") or "").strip() + ) + item = { + "type": str(account.get("export_type") or "codex"), + "email": email, + "account_id": account_id, + "access_token": access_token, + "refresh_token": refresh_token, + "id_token": id_token, + "expired": self._timestamp_to_iso(access_payload.get("exp")), + "last_refresh": self._timestamp_to_iso(access_payload.get("iat")), + } + password = str(account.get("password") or "").strip() + if password: + item["password"] = password + items.append(item) + return items + + def get_stats(self) -> dict: + with self._lock: + items = list(self._accounts.values()) + total = len(items) + active = sum(1 for a in items if a.get("status") == "正常") + limited = sum(1 for a in items if a.get("status") == "限流") + abnormal = sum(1 for a in items if a.get("status") == "异常") + disabled = sum(1 for a in items if a.get("status") == "禁用") + total_quota = sum(max(0, int(a.get("quota") or 0)) for a in items if a.get("status") == "正常") + unlimited = sum(1 for a in items if a.get("status") == "正常" and bool(a.get("image_quota_unknown"))) + total_success = sum(int(a.get("success") or 0) for a in items) + total_fail = sum(int(a.get("fail") or 0) for a in items) + by_type = {} + for a in items: + t = a.get("type", "unknown") + by_type[t] = by_type.get(t, 0) + 1 + return { + "total": total, + "cumulative_total": self._cumulative_total, + "active": active, + "limited": limited, + "abnormal": abnormal, + "disabled": disabled, + "total_quota": total_quota, + "unlimited_quota_count": unlimited, + "total_success": total_success, + "total_fail": total_fail, + "by_type": by_type, + } + + def account_health(self) -> dict: + stats = self.get_stats() + return { + "healthy": stats["active"] > 0 or stats["unlimited_quota_count"] > 0, + "status": "ok" if stats["active"] > 0 else "degraded", + **stats, + } + + +account_service = AccountService(config.get_storage_backend()) diff --git a/services/auth_service.py b/services/auth_service.py new file mode 100644 index 0000000000000000000000000000000000000000..ef9a29bf533624b74ae0ccee8015799f12d63871 --- /dev/null +++ b/services/auth_service.py @@ -0,0 +1,253 @@ +from __future__ import annotations + +import hashlib +import hmac +import secrets +import uuid +from datetime import datetime, timezone +from threading import Lock +from typing import Literal + +from services.config import config +from services.storage.base import StorageBackend + +AuthRole = Literal["admin", "user"] + + +def _now_iso() -> str: + return datetime.now(timezone.utc).isoformat() + + +def _hash_key(value: str) -> str: + return hashlib.sha256(value.encode("utf-8")).hexdigest() + + +class AuthService: + def __init__(self, storage: StorageBackend): + self.storage = storage + self._lock = Lock() + self._items = self._load() + self._last_used_flush_at: dict[str, datetime] = {} + + @staticmethod + def _clean(value: object) -> str: + return str(value or "").strip() + + @staticmethod + def _default_name(role: object) -> str: + return "管理员密钥" if str(role or "").strip().lower() == "admin" else "普通用户" + + def _normalize_item(self, raw: object) -> dict[str, object] | None: + if not isinstance(raw, dict): + return None + role = self._clean(raw.get("role")).lower() + if role not in {"admin", "user"}: + return None + key_hash = self._clean(raw.get("key_hash")) + if not key_hash: + return None + item_id = self._clean(raw.get("id")) or uuid.uuid4().hex[:12] + name = self._clean(raw.get("name")) or self._default_name(role) + created_at = self._clean(raw.get("created_at")) or _now_iso() + last_used_at = self._clean(raw.get("last_used_at")) or None + return { + "id": item_id, + "name": name, + "role": role, + "key_hash": key_hash, + "enabled": bool(raw.get("enabled", True)), + "created_at": created_at, + "last_used_at": last_used_at, + } + + def _load(self) -> list[dict[str, object]]: + try: + items = self.storage.load_auth_keys() + except Exception: + return [] + if not isinstance(items, list): + return [] + return [normalized for item in items if (normalized := self._normalize_item(item)) is not None] + + def _save(self) -> None: + self.storage.save_auth_keys(self._items) + + def _reload_locked(self) -> None: + self._items = self._load() + + @staticmethod + def _public_item(item: dict[str, object]) -> dict[str, object]: + return { + "id": item.get("id"), + "name": item.get("name"), + "role": item.get("role"), + "enabled": bool(item.get("enabled", True)), + "created_at": item.get("created_at"), + "last_used_at": item.get("last_used_at"), + } + + def list_keys(self, role: AuthRole | None = None) -> list[dict[str, object]]: + with self._lock: + self._reload_locked() + items = [item for item in self._items if role is None or item.get("role") == role] + return [self._public_item(item) for item in items] + + def _has_key_hash_locked(self, key_hash: str, *, exclude_id: str = "") -> bool: + for item in self._items: + item_id = self._clean(item.get("id")) + if exclude_id and item_id == exclude_id: + continue + stored_hash = self._clean(item.get("key_hash")) + if stored_hash and hmac.compare_digest(stored_hash, key_hash): + return True + return False + + def _build_key_hash_locked(self, raw_key: str, *, exclude_id: str = "") -> str: + candidate = self._clean(raw_key) + if not candidate: + raise ValueError("请输入新的专用密钥") + admin_key = self._clean(config.auth_key) + if admin_key and hmac.compare_digest(candidate, admin_key): + raise ValueError("这个密钥和管理员密钥冲突了，请换一个新的密钥") + key_hash = _hash_key(candidate) + if self._has_key_hash_locked(key_hash, exclude_id=exclude_id): + raise ValueError("这个专用密钥已经存在，请换一个新的密钥") + return key_hash + + def _has_name_locked(self, name: str, *, role: AuthRole | None = None, exclude_id: str = "") -> bool: + candidate = self._clean(name) + if not candidate: + return False + for item in self._items: + item_id = self._clean(item.get("id")) + if exclude_id and item_id == exclude_id: + continue + if role is not None and item.get("role") != role: + continue + if self._clean(item.get("name")) == candidate: + return True + return False + + def _build_default_name_locked(self, role: AuthRole, *, exclude_id: str = "") -> str: + base_name = self._default_name(role) + if not self._has_name_locked(base_name, role=role, exclude_id=exclude_id): + return base_name + suffix = 2 + while True: + candidate = f"{base_name} {suffix}" + if not self._has_name_locked(candidate, role=role, exclude_id=exclude_id): + return candidate + suffix += 1 + + def _build_name_locked(self, name: str, *, role: AuthRole, exclude_id: str = "") -> str: + candidate = self._clean(name) + if not candidate: + return self._build_default_name_locked(role, exclude_id=exclude_id) + if self._has_name_locked(candidate, role=role, exclude_id=exclude_id): + raise ValueError("这个名称已经在使用中了，换一个更容易区分的名称吧") + return candidate + + def create_key(self, *, role: AuthRole, name: str = "") -> tuple[dict[str, object], str]: + with self._lock: + self._reload_locked() + normalized_name = self._build_name_locked(name, role=role) + while True: + raw_key = f"sk-{secrets.token_urlsafe(24)}" + try: + key_hash = self._build_key_hash_locked(raw_key) + break + except ValueError: + continue + item = { + "id": uuid.uuid4().hex[:12], + "name": normalized_name, + "role": role, + "key_hash": key_hash, + "enabled": True, + "created_at": _now_iso(), + "last_used_at": None, + } + self._items.append(item) + self._save() + return self._public_item(item), raw_key + + def update_key( + self, + key_id: str, + updates: dict[str, object], + *, + role: AuthRole | None = None, + ) -> dict[str, object] | None: + normalized_id = self._clean(key_id) + if not normalized_id: + return None + with self._lock: + self._reload_locked() + for index, item in enumerate(self._items): + if item.get("id") != normalized_id: + continue + if role is not None and item.get("role") != role: + return None + next_item = dict(item) + next_role = "admin" if str(next_item.get("role") or "").strip().lower() == "admin" else "user" + if "name" in updates and updates.get("name") is not None: + next_item["name"] = self._build_name_locked( + str(updates.get("name") or ""), + role=next_role, + exclude_id=normalized_id, + ) + if "enabled" in updates and updates.get("enabled") is not None: + next_item["enabled"] = bool(updates.get("enabled")) + if "key" in updates and updates.get("key") is not None: + next_item["key_hash"] = self._build_key_hash_locked(str(updates.get("key") or ""), exclude_id=normalized_id) + self._items[index] = next_item + self._save() + return self._public_item(next_item) + return None + + def delete_key(self, key_id: str, *, role: AuthRole | None = None) -> bool: + normalized_id = self._clean(key_id) + if not normalized_id: + return False + with self._lock: + self._reload_locked() + before = len(self._items) + self._items = [ + item + for item in self._items + if not (item.get("id") == normalized_id and (role is None or item.get("role") == role)) + ] + if len(self._items) == before: + return False + self._save() + return True + + def authenticate(self, raw_key: str) -> dict[str, object] | None: + candidate = self._clean(raw_key) + if not candidate: + return None + candidate_hash = _hash_key(candidate) + with self._lock: + for index, item in enumerate(self._items): + if not bool(item.get("enabled", True)): + continue + stored_hash = self._clean(item.get("key_hash")) + if not stored_hash or not hmac.compare_digest(stored_hash, candidate_hash): + continue + next_item = dict(item) + now = datetime.now(timezone.utc) + next_item["last_used_at"] = now.isoformat() + self._items[index] = next_item + item_id = self._clean(next_item.get("id")) + last_flush_at = self._last_used_flush_at.get(item_id) + if last_flush_at is None or (now - last_flush_at).total_seconds() >= 60: + try: + self._save() + self._last_used_flush_at[item_id] = now + except Exception: + pass + return self._public_item(next_item) + return None + + +auth_service = AuthService(config.get_storage_backend()) diff --git a/services/backup_service.py b/services/backup_service.py new file mode 100644 index 0000000000000000000000000000000000000000..785cb63233a40360c66199ce6375fee1eef7403f --- /dev/null +++ b/services/backup_service.py @@ -0,0 +1,673 @@ +from __future__ import annotations + +import hashlib +import hmac +import io +import json +import os +import random +import subprocess +import tarfile +import threading +from datetime import UTC, datetime +from pathlib import Path +from urllib.parse import quote, urlencode + +from curl_cffi import requests + +from services.config import BASE_DIR, CONFIG_FILE, DATA_DIR, config, load_backup_state, save_backup_state +from services.image_storage_service import IMAGE_INDEX_FILE +from services.image_tags_service import TAGS_FILE + + +def _utc_now() -> datetime: + return datetime.now(UTC) + + +def _iso_now() -> str: + return _utc_now().replace(microsecond=0).isoformat().replace("+00:00", "Z") + + +def _clean(value: object) -> str: + return str(value or "").strip() + + +def _sha256_hex(value: bytes) -> str: + return hashlib.sha256(value).hexdigest() + + +def _is_backup_object(key: object) -> bool: + name = _clean(key).rsplit("/", 1)[-1] + return name.startswith("backup-") and (name.endswith(".tar.gz") or name.endswith(".tar.gz.enc")) + + +def _hmac_sha256(key: bytes, message: str) -> bytes: + return hmac.new(key, message.encode("utf-8"), hashlib.sha256).digest() + + +def _openssl_encrypt(data: bytes, passphrase: str) -> bytes: + env = dict(os.environ) + env["CHATGPT2API_BACKUP_PASSPHRASE"] = passphrase + try: + result = subprocess.run( + [ + "openssl", + "enc", + "-aes-256-cbc", + "-pbkdf2", + "-salt", + "-md", + "sha256", + "-pass", + "env:CHATGPT2API_BACKUP_PASSPHRASE", + ], + input=data, + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, + check=True, + env=env, + ) + except FileNotFoundError as exc: + raise BackupError("当前环境缺少 openssl，无法执行加密备份") from exc + except subprocess.CalledProcessError as exc: + detail = (exc.stderr or b"").decode("utf-8", errors="replace").strip() + raise BackupError(f"加密备份失败：{detail or 'openssl 执行失败'}") from exc + return result.stdout + + +def _openssl_decrypt(data: bytes, passphrase: str) -> bytes: + env = dict(os.environ) + env["CHATGPT2API_BACKUP_PASSPHRASE"] = passphrase + try: + result = subprocess.run( + [ + "openssl", + "enc", + "-d", + "-aes-256-cbc", + "-pbkdf2", + "-md", + "sha256", + "-pass", + "env:CHATGPT2API_BACKUP_PASSPHRASE", + ], + input=data, + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, + check=True, + env=env, + ) + except FileNotFoundError as exc: + raise BackupError("当前环境缺少 openssl，无法解密备份内容") from exc + except subprocess.CalledProcessError as exc: + detail = (exc.stderr or b"").decode("utf-8", errors="replace").strip() + raise BackupError(f"解密备份失败：{detail or 'openssl 执行失败'}") from exc + return result.stdout + + +def _guess_content_type(name: str) -> str: + if name.endswith(".json"): + return "application/json" + if name.endswith(".jsonl"): + return "application/x-ndjson" + if name.endswith(".tar.gz"): + return "application/gzip" + if name.endswith(".gz"): + return "application/gzip" + return "application/octet-stream" + + +def _json_bytes(value: object) -> bytes: + return json.dumps(value, ensure_ascii=False, indent=2).encode("utf-8") + + +def _count_items(value: object) -> int: + if isinstance(value, list): + return len(value) + if isinstance(value, dict): + return len(value) + return 0 + + +class BackupError(RuntimeError): + pass + + +class CloudflareR2Client: + def __init__(self, settings: dict[str, object]) -> None: + self.account_id = _clean(settings.get("account_id")) + self.access_key_id = _clean(settings.get("access_key_id")) + self.secret_access_key = _clean(settings.get("secret_access_key")) + self.bucket = _clean(settings.get("bucket")) + self.prefix = _clean(settings.get("prefix")) or "backups" + self.session = requests.Session(impersonate="chrome", verify=True) + + def validate(self) -> None: + missing = [] + if not self.account_id: + missing.append("Account ID") + if not self.access_key_id: + missing.append("Access Key ID") + if not self.secret_access_key: + missing.append("Secret Access Key") + if not self.bucket: + missing.append("Bucket") + if missing: + raise BackupError(f"R2 配置不完整：缺少 {'、'.join(missing)}") + + @property + def endpoint(self) -> str: + return f"https://{self.account_id}.r2.cloudflarestorage.com" + + def _aws_v4_headers( + self, + method: str, + path: str, + *, + query: dict[str, str] | None = None, + body: bytes = b"", + extra_headers: dict[str, str] | None = None, + ) -> tuple[str, dict[str, str]]: + now = _utc_now() + amz_date = now.strftime("%Y%m%dT%H%M%SZ") + date_stamp = now.strftime("%Y%m%d") + encoded_query = urlencode(sorted((query or {}).items())) + payload_hash = _sha256_hex(body) + host = f"{self.account_id}.r2.cloudflarestorage.com" + headers = { + "host": host, + "x-amz-content-sha256": payload_hash, + "x-amz-date": amz_date, + } + if extra_headers: + for key, value in extra_headers.items(): + headers[key.lower()] = value.strip() + sorted_items = sorted((key.lower(), " ".join(str(value).strip().split())) for key, value in headers.items()) + canonical_headers = "".join(f"{key}:{value}\n" for key, value in sorted_items) + signed_headers = ";".join(key for key, _ in sorted_items) + canonical_request = "\n".join([ + method.upper(), + path, + encoded_query, + canonical_headers, + signed_headers, + payload_hash, + ]) + credential_scope = f"{date_stamp}/auto/s3/aws4_request" + string_to_sign = "\n".join([ + "AWS4-HMAC-SHA256", + amz_date, + credential_scope, + _sha256_hex(canonical_request.encode("utf-8")), + ]) + k_date = _hmac_sha256(("AWS4" + self.secret_access_key).encode("utf-8"), date_stamp) + k_region = hmac.new(k_date, b"auto", hashlib.sha256).digest() + k_service = hmac.new(k_region, b"s3", hashlib.sha256).digest() + k_signing = hmac.new(k_service, b"aws4_request", hashlib.sha256).digest() + signature = hmac.new(k_signing, string_to_sign.encode("utf-8"), hashlib.sha256).hexdigest() + authorization = ( + "AWS4-HMAC-SHA256 " + f"Credential={self.access_key_id}/{credential_scope}, " + f"SignedHeaders={signed_headers}, " + f"Signature={signature}" + ) + request_headers = {key: value for key, value in headers.items()} + request_headers["authorization"] = authorization + return encoded_query, request_headers + + def _request( + self, + method: str, + key: str = "", + *, + query: dict[str, str] | None = None, + body: bytes = b"", + extra_headers: dict[str, str] | None = None, + timeout: float = 60.0, + ): + object_path = f"/{self.bucket}" + if key: + object_path += f"/{quote(key.lstrip('/'), safe='/')}" + encoded_query, headers = self._aws_v4_headers(method, object_path, query=query, body=body, extra_headers=extra_headers) + url = f"{self.endpoint}{object_path}" + if encoded_query: + url += f"?{encoded_query}" + response = self.session.request(method.upper(), url, headers=headers, data=body, timeout=timeout) + return response + + def test_connection(self) -> dict[str, object]: + self.validate() + response = self._request("GET", query={"list-type": "2", "max-keys": "1"}, timeout=30.0) + if response.status_code >= 400: + raise BackupError(f"连接 R2 失败：HTTP {response.status_code}") + return {"ok": True, "status": int(response.status_code)} + + def upload_bytes(self, key: str, payload: bytes, *, content_type: str, metadata: dict[str, str] | None = None) -> dict[str, object]: + headers = {"content-type": content_type} + if metadata: + for item_key, item_value in metadata.items(): + headers[f"x-amz-meta-{item_key}"] = str(item_value) + response = self._request("PUT", key, body=payload, extra_headers=headers) + if response.status_code >= 400: + raise BackupError(f"上传备份失败：HTTP {response.status_code}") + return {"key": key, "etag": str(response.headers.get("etag") or "").strip('"')} + + def delete_object(self, key: str) -> None: + response = self._request("DELETE", key, timeout=30.0) + if response.status_code >= 400 and response.status_code != 404: + raise BackupError(f"删除备份失败：HTTP {response.status_code}") + + def download_bytes(self, key: str) -> bytes: + response = self._request("GET", key, timeout=60.0) + if response.status_code >= 400: + raise BackupError(f"读取备份失败：HTTP {response.status_code}") + return bytes(response.content or b"") + + def list_objects(self) -> list[dict[str, object]]: + items: list[dict[str, object]] = [] + continuation = "" + while True: + query = {"list-type": "2", "prefix": f"{self.prefix.rstrip('/')}/", "max-keys": "1000"} + if continuation: + query["continuation-token"] = continuation + response = self._request("GET", query=query, timeout=30.0) + if response.status_code >= 400: + raise BackupError(f"获取备份列表失败：HTTP {response.status_code}") + text = response.text + for block in text.split("")[1:]: + key = _clean(block.split("", 1)[1].split("", 1)[0]) if "" in block else "" + if not key: + continue + size_text = _clean(block.split("", 1)[1].split("", 1)[0]) if "" in block else "0" + updated = _clean(block.split("", 1)[1].split("", 1)[0]) if "" in block else "" + items.append({ + "key": key, + "size": int(size_text or 0), + "updated_at": updated, + }) + truncated = "true" in text + if not truncated: + break + if "" not in text: + break + continuation = _clean(text.split("", 1)[1].split("", 1)[0]) + if not continuation: + break + items.sort(key=lambda item: str(item.get("updated_at") or ""), reverse=True) + return items + + def close(self) -> None: + self.session.close() + + +class BackupService: + def __init__(self) -> None: + self._lock = threading.RLock() + self._stop_event = threading.Event() + self._thread: threading.Thread | None = None + self._running = False + + def start(self) -> None: + with self._lock: + if self._thread and self._thread.is_alive(): + return + self._stop_event.clear() + self._thread = threading.Thread(target=self._run, daemon=True, name="r2-backup-scheduler") + self._thread.start() + + def stop(self) -> None: + with self._lock: + self._stop_event.set() + thread = self._thread + self._thread = None + if thread and thread.is_alive(): + thread.join(timeout=2) + + def _run(self) -> None: + while not self._stop_event.is_set(): + try: + self.run_scheduled_backup_if_needed() + except Exception: + pass + self._stop_event.wait(30) + + def run_scheduled_backup_if_needed(self) -> None: + settings = config.get_backup_settings() + if not settings.get("enabled"): + return + state = self.get_status() + if state.get("running"): + return + interval_minutes = int(settings.get("interval_minutes") or 360) + last_finished_raw = _clean(state.get("last_finished_at")) + if last_finished_raw: + try: + last_finished = datetime.fromisoformat(last_finished_raw.replace("Z", "+00:00")) + elapsed = (_utc_now() - last_finished.astimezone(UTC)).total_seconds() + if elapsed < interval_minutes * 60: + return + except Exception: + pass + self.run_backup(trigger="schedule") + + def get_status(self) -> dict[str, object]: + return { + **load_backup_state(), + "running": self._running, + } + + def is_configured(self) -> bool: + settings = config.get_backup_settings() + return all([ + _clean(settings.get("account_id")), + _clean(settings.get("access_key_id")), + _clean(settings.get("secret_access_key")), + _clean(settings.get("bucket")), + ]) + + def get_settings(self) -> dict[str, object]: + settings = dict(config.get_backup_settings()) + settings["secret_access_key"] = "********" if _clean(settings.get("secret_access_key")) else "" + settings["passphrase"] = "********" if _clean(settings.get("passphrase")) else "" + return settings + + def update_settings(self, payload: dict[str, object]) -> dict[str, object]: + current = config.get_backup_settings() + merged = dict(current) + merged.update(dict(payload or {})) + if "include" in payload and isinstance(payload.get("include"), dict): + include = dict(current.get("include") or {}) + include.update(payload.get("include") or {}) + merged["include"] = include + if payload.get("secret_access_key") == "********": + merged["secret_access_key"] = current.get("secret_access_key") + if payload.get("passphrase") == "********": + merged["passphrase"] = current.get("passphrase") + updated = config.update({"backup": merged}) + return dict(updated.get("backup") or {}) + + def test_connection(self) -> dict[str, object]: + client = CloudflareR2Client(config.get_backup_settings()) + try: + return client.test_connection() + finally: + client.close() + + def list_backups(self) -> list[dict[str, object]]: + if not self.is_configured(): + return [] + client = CloudflareR2Client(config.get_backup_settings()) + try: + items = client.list_objects() + finally: + client.close() + parsed: list[dict[str, object]] = [] + for item in items: + key = _clean(item.get("key")) + name = key.rsplit("/", 1)[-1] + encrypted = name.endswith(".enc") + parsed.append({ + "key": key, + "name": name, + "size": int(item.get("size") or 0), + "updated_at": item.get("updated_at"), + "encrypted": encrypted, + }) + return parsed + + def delete_backup(self, key: str) -> None: + candidate = _clean(key) + if not candidate: + raise BackupError("备份对象 key 不能为空") + client = CloudflareR2Client(config.get_backup_settings()) + try: + client.delete_object(candidate) + finally: + client.close() + + def download_backup(self, key: str) -> dict[str, object]: + candidate = _clean(key) + if not candidate: + raise BackupError("备份对象 key 不能为空") + client = CloudflareR2Client(config.get_backup_settings()) + try: + payload = client.download_bytes(candidate) + finally: + client.close() + name = candidate.rsplit("/", 1)[-1] or "backup.bin" + if candidate.endswith(".enc"): + passphrase = _clean(config.get_backup_settings().get("passphrase")) + if not passphrase: + raise BackupError("当前未配置加密口令，无法下载并解密已加密备份") + payload = _openssl_decrypt(payload, passphrase) + if name.endswith(".enc"): + name = name[:-4] or "backup.tar.gz" + return { + "key": candidate, + "name": name, + "content_type": _guess_content_type(name), + "payload": payload, + "size": len(payload), + } + + def get_backup_detail(self, key: str) -> dict[str, object]: + candidate = _clean(key) + if not candidate: + raise BackupError("备份对象 key 不能为空") + client = CloudflareR2Client(config.get_backup_settings()) + try: + payload = client.download_bytes(candidate) + finally: + client.close() + detail = self._decode_backup_payload(candidate, payload) + detail["key"] = candidate + detail["name"] = candidate.rsplit("/", 1)[-1] + detail["encrypted"] = candidate.endswith(".enc") + return detail + + def run_backup(self, *, trigger: str = "manual") -> dict[str, object]: + with self._lock: + current = self.get_status() + if self._running: + raise BackupError("当前已有备份任务正在执行") + started_at = _iso_now() + self._running = True + save_backup_state({ + "last_started_at": started_at, + "last_finished_at": current.get("last_finished_at"), + "last_status": "idle", + "last_error": None, + "last_object_key": current.get("last_object_key"), + }) + try: + result = self._run_backup_once(trigger=trigger) + save_backup_state({ + "last_started_at": started_at, + "last_finished_at": _iso_now(), + "last_status": "success", + "last_error": None, + "last_object_key": result["key"], + }) + return result + except Exception as exc: + save_backup_state({ + "last_started_at": started_at, + "last_finished_at": _iso_now(), + "last_status": "error", + "last_error": str(exc) or exc.__class__.__name__, + "last_object_key": current.get("last_object_key"), + }) + raise + finally: + self._running = False + + def _run_backup_once(self, *, trigger: str) -> dict[str, object]: + settings = config.get_backup_settings() + client = CloudflareR2Client(settings) + client.validate() + payload_raw = self._build_backup_archive(settings, trigger=trigger) + encrypted = bool(settings.get("encrypt")) + if encrypted: + passphrase = _clean(settings.get("passphrase")) + if not passphrase: + raise BackupError("已启用备份加密，但未设置加密口令") + payload = _openssl_encrypt(payload_raw, passphrase) + suffix = ".tar.gz.enc" + else: + payload = payload_raw + suffix = ".tar.gz" + timestamp = _utc_now().strftime("%Y%m%dT%H%M%SZ") + random_tag = f"{random.randint(0, 0xFFFF):04x}" + object_key = f"{client.prefix.rstrip('/')}/backup-{timestamp}-{random_tag}{suffix}" + metadata = { + "created-at": _iso_now(), + "encrypted": "true" if encrypted else "false", + "trigger": trigger, + } + try: + result = client.upload_bytes(object_key, payload, content_type="application/octet-stream", metadata=metadata) + self._apply_rotation(client, int(settings.get("rotation_keep") or 0)) + return { + "key": result["key"], + "size": len(payload), + "encrypted": encrypted, + } + finally: + client.close() + + def _decode_backup_payload(self, key: str, payload: bytes) -> dict[str, object]: + decoded = payload + if key.endswith(".enc"): + passphrase = _clean(config.get_backup_settings().get("passphrase")) + if not passphrase: + raise BackupError("当前未配置加密口令，无法查看已加密备份") + decoded = _openssl_decrypt(decoded, passphrase) + return self._decode_archive_detail(decoded) + + def _apply_rotation(self, client: CloudflareR2Client, keep: int) -> None: + if keep <= 0: + return + items = [item for item in client.list_objects() if _is_backup_object(item.get("key"))] + if len(items) <= keep: + return + for item in items[keep:]: + key = _clean(item.get("key")) + if key: + client.delete_object(key) + + def _decode_archive_detail(self, payload: bytes) -> dict[str, object]: + files: list[dict[str, object]] = [] + snapshots: list[dict[str, object]] = [] + metadata: dict[str, object] = {} + try: + with tarfile.open(fileobj=io.BytesIO(payload), mode="r:gz") as archive: + members = [member for member in archive.getmembers() if member.isfile()] + for member in members: + extracted = archive.extractfile(member) + if extracted is None: + continue + raw = extracted.read() + name = member.name + if name == "backup-metadata.json": + try: + parsed = json.loads(raw.decode("utf-8")) + if isinstance(parsed, dict): + metadata = parsed + except Exception: + metadata = {} + continue + if name.startswith("snapshots/") and name.endswith(".json"): + count = 0 + try: + parsed_snapshot = json.loads(raw.decode("utf-8")) + count = _count_items(parsed_snapshot) + except Exception: + count = 0 + snapshots.append({ + "name": name.removeprefix("snapshots/").removesuffix(".json"), + "count": count, + }) + continue + files.append({ + "name": name, + "exists": True, + "content_type": _guess_content_type(name), + "size": len(raw), + "sha256": _sha256_hex(raw), + }) + except tarfile.TarError as exc: + raise BackupError("解析备份压缩包失败，备份可能已损坏") from exc + files.sort(key=lambda item: str(item.get("name") or "")) + snapshots.sort(key=lambda item: str(item.get("name") or "")) + return { + "created_at": metadata.get("created_at"), + "trigger": metadata.get("trigger"), + "app_version": metadata.get("app_version"), + "storage_backend": metadata.get("storage_backend"), + "files": files, + "snapshots": snapshots, + } + + def _build_backup_archive(self, settings: dict[str, object], *, trigger: str) -> bytes: + include = settings.get("include") if isinstance(settings.get("include"), dict) else {} + metadata = { + "version": 2, + "created_at": _iso_now(), + "trigger": trigger, + "app_version": config.app_version, + "storage_backend": config.get_storage_backend().get_backend_info(), + } + buffer = io.BytesIO() + with tarfile.open(fileobj=buffer, mode="w:gz") as archive: + self._add_bytes_to_archive(archive, "backup-metadata.json", _json_bytes(metadata)) + if include.get("config"): + self._add_file_to_archive(archive, CONFIG_FILE, "config.json") + if include.get("register"): + self._add_file_to_archive(archive, DATA_DIR / "register.json", "data/register.json") + if include.get("cpa"): + self._add_file_to_archive(archive, DATA_DIR / "cpa_config.json", "data/cpa_config.json") + if include.get("sub2api"): + self._add_file_to_archive(archive, DATA_DIR / "sub2api_config.json", "data/sub2api_config.json") + if include.get("logs"): + self._add_file_to_archive(archive, DATA_DIR / "logs.jsonl", "data/logs.jsonl") + if include.get("image_tasks"): + self._add_file_to_archive(archive, DATA_DIR / "image_tasks.json", "data/image_tasks.json") + self._add_file_to_archive(archive, IMAGE_INDEX_FILE, "data/image_index.json") + if include.get("accounts_snapshot"): + self._add_bytes_to_archive( + archive, + "snapshots/accounts.json", + _json_bytes(config.get_storage_backend().load_accounts()), + ) + if include.get("auth_keys_snapshot"): + self._add_bytes_to_archive( + archive, + "snapshots/auth_keys.json", + _json_bytes(config.get_storage_backend().load_auth_keys()), + ) + if include.get("images"): + self._add_file_to_archive(archive, TAGS_FILE, "data/image_tags.json") + self._add_directory_to_archive(archive, config.images_dir, "data/images") + return buffer.getvalue() + + def _add_bytes_to_archive(self, archive: tarfile.TarFile, name: str, payload: bytes) -> None: + info = tarfile.TarInfo(name=name) + info.size = len(payload) + info.mtime = int(_utc_now().timestamp()) + archive.addfile(info, io.BytesIO(payload)) + + def _add_file_to_archive(self, archive: tarfile.TarFile, source: Path, arcname: str) -> None: + if not source.exists() or not source.is_file(): + return + archive.add(source, arcname=arcname) + + def _add_directory_to_archive(self, archive: tarfile.TarFile, source_dir: Path, arcname_root: str) -> None: + if not source_dir.exists() or not source_dir.is_dir(): + return + for path in sorted(source_dir.rglob("*")): + if path.is_file(): + relative = path.relative_to(source_dir).as_posix() + archive.add(path, arcname=f"{arcname_root}/{relative}") + + +backup_service = BackupService() diff --git a/services/config.py b/services/config.py new file mode 100644 index 0000000000000000000000000000000000000000..961b5c60373d66c404635e492ce38d02a2cb4bd7 --- /dev/null +++ b/services/config.py @@ -0,0 +1,486 @@ +from __future__ import annotations + +from dataclasses import dataclass +import json +import os +import sys +from pathlib import Path +import time + +from services.storage.base import StorageBackend + +BASE_DIR = Path(__file__).resolve().parents[1] +DATA_DIR = BASE_DIR / "data" +CONFIG_FILE = BASE_DIR / "config.json" +VERSION_FILE = BASE_DIR / "VERSION" +BACKUP_STATE_FILE = DATA_DIR / "backup_state.json" + +DEFAULT_BACKUP_INCLUDE = { + "config": True, + "register": True, + "cpa": True, + "sub2api": True, + "logs": True, + "image_tasks": True, + "accounts_snapshot": True, + "auth_keys_snapshot": True, + "images": False, +} + +DEFAULT_IMAGE_STORAGE = { + "enabled": False, + "mode": "local", + "webdav_url": "", + "webdav_username": "", + "webdav_password": "", + "webdav_root_path": "chatgpt2api/images", + "public_base_url": "", +} + +DEFAULT_CHAT_COMPLETION_CACHE = { + "enabled": True, + "ttl_seconds": 60, + "max_entries": 256, + "dedupe_inflight": True, + "stream_cache": True, + "normalize_messages": True, + "drop_adjacent_duplicates": True, + "drop_assistant_history": False, +} + + +def _normalize_bool(value: object, default: bool = False) -> bool: + if isinstance(value, str): + lowered = value.strip().lower() + if lowered in {"1", "true", "yes", "on"}: + return True + if lowered in {"0", "false", "no", "off"}: + return False + if value is None: + return default + return bool(value) + + +def _normalize_positive_int(value: object, default: int, minimum: int = 0) -> int: + try: + normalized = int(value) + except (TypeError, ValueError): + normalized = default + return max(minimum, normalized) + + +def _normalize_backup_include(value: object) -> dict[str, bool]: + source = value if isinstance(value, dict) else {} + normalized = dict(DEFAULT_BACKUP_INCLUDE) + for key in normalized: + normalized[key] = _normalize_bool(source.get(key), normalized[key]) + return normalized + + +def _normalize_backup_settings(value: object) -> dict[str, object]: + source = value if isinstance(value, dict) else {} + return { + "enabled": _normalize_bool(source.get("enabled"), False), + "provider": "cloudflare_r2", + "account_id": str(source.get("account_id") or "").strip(), + "access_key_id": str(source.get("access_key_id") or "").strip(), + "secret_access_key": str(source.get("secret_access_key") or "").strip(), + "bucket": str(source.get("bucket") or "").strip(), + "prefix": str(source.get("prefix") or "backups").strip().strip("/") or "backups", + "interval_minutes": _normalize_positive_int(source.get("interval_minutes"), 360, 1), + "rotation_keep": _normalize_positive_int(source.get("rotation_keep"), 10, 0), + "encrypt": _normalize_bool(source.get("encrypt"), False), + "passphrase": str(source.get("passphrase") or "").strip(), + "include": _normalize_backup_include(source.get("include")), + } + + +def _normalize_backup_state(value: object) -> dict[str, object]: + source = value if isinstance(value, dict) else {} + return { + "last_started_at": str(source.get("last_started_at") or "").strip() or None, + "last_finished_at": str(source.get("last_finished_at") or "").strip() or None, + "last_status": str(source.get("last_status") or "idle").strip() or "idle", + "last_error": str(source.get("last_error") or "").strip() or None, + "last_object_key": str(source.get("last_object_key") or "").strip() or None, + } + + +def _normalize_image_storage_settings(value: object) -> dict[str, object]: + source = value if isinstance(value, dict) else {} + mode = str(source.get("mode") or "local").strip().lower() + if mode not in {"local", "webdav", "both"}: + mode = "local" + enabled = _normalize_bool(source.get("enabled"), False) + if not enabled: + mode = "local" + root_path = str(source.get("webdav_root_path") or DEFAULT_IMAGE_STORAGE["webdav_root_path"]).strip().strip("/") + return { + "enabled": enabled, + "mode": mode, + "webdav_url": str(source.get("webdav_url") or "").strip().rstrip("/"), + "webdav_username": str(source.get("webdav_username") or "").strip(), + "webdav_password": str(source.get("webdav_password") or "").strip(), + "webdav_root_path": root_path or str(DEFAULT_IMAGE_STORAGE["webdav_root_path"]), + "public_base_url": str(source.get("public_base_url") or "").strip().rstrip("/"), + } + + +def _normalize_chat_completion_cache_settings(value: object) -> dict[str, object]: + source = value if isinstance(value, dict) else {} + return { + "enabled": _normalize_bool(source.get("enabled"), DEFAULT_CHAT_COMPLETION_CACHE["enabled"]), + "ttl_seconds": _normalize_positive_int( + source.get("ttl_seconds"), + int(DEFAULT_CHAT_COMPLETION_CACHE["ttl_seconds"]), + 0, + ), + "max_entries": _normalize_positive_int( + source.get("max_entries"), + int(DEFAULT_CHAT_COMPLETION_CACHE["max_entries"]), + 1, + ), + "dedupe_inflight": _normalize_bool( + source.get("dedupe_inflight"), + bool(DEFAULT_CHAT_COMPLETION_CACHE["dedupe_inflight"]), + ), + "stream_cache": _normalize_bool( + source.get("stream_cache"), + bool(DEFAULT_CHAT_COMPLETION_CACHE["stream_cache"]), + ), + "normalize_messages": _normalize_bool( + source.get("normalize_messages"), + bool(DEFAULT_CHAT_COMPLETION_CACHE["normalize_messages"]), + ), + "drop_adjacent_duplicates": _normalize_bool( + source.get("drop_adjacent_duplicates"), + bool(DEFAULT_CHAT_COMPLETION_CACHE["drop_adjacent_duplicates"]), + ), + "drop_assistant_history": _normalize_bool( + source.get("drop_assistant_history"), + bool(DEFAULT_CHAT_COMPLETION_CACHE["drop_assistant_history"]), + ), + } + + +def _validate_image_storage_settings(settings: dict[str, object]) -> None: + if not _normalize_bool(settings.get("enabled"), False): + return + if not str(settings.get("webdav_url") or "").strip(): + raise ValueError("启用 WebDAV 图片存储后必须填写 WebDAV URL") + if not str(settings.get("webdav_password") or "").strip(): + raise ValueError("启用 WebDAV 图片存储后必须填写 WebDAV 密码") + + +@dataclass(frozen=True) +class LoadedSettings: + auth_key: str + refresh_account_interval_minute: int + + +def _normalize_auth_key(value: object) -> str: + return str(value or "").strip() + + +def _is_invalid_auth_key(value: object) -> bool: + return _normalize_auth_key(value) == "" + + +def _read_json_object(path: Path, *, name: str) -> dict[str, object]: + if not path.exists(): + return {} + if path.is_dir(): + print( + f"Warning: {name} at '{path}' is a directory, ignoring it and falling back to other configuration sources.", + file=sys.stderr, + ) + return {} + try: + data = json.loads(path.read_text(encoding="utf-8")) + except Exception: + return {} + return data if isinstance(data, dict) else {} + + +def _load_settings() -> LoadedSettings: + DATA_DIR.mkdir(parents=True, exist_ok=True) + raw_config = _read_json_object(CONFIG_FILE, name="config.json") + auth_key = _normalize_auth_key(os.getenv("CHATGPT2API_AUTH_KEY") or raw_config.get("auth-key")) + if _is_invalid_auth_key(auth_key): + raise ValueError( + "❌ auth-key 未设置！\n" + "请在环境变量 CHATGPT2API_AUTH_KEY 中设置，或者在 config.json 中填写 auth-key。" + ) + + try: + refresh_interval = int(raw_config.get("refresh_account_interval_minute", 5)) + except (TypeError, ValueError): + refresh_interval = 5 + + return LoadedSettings( + auth_key=auth_key, + refresh_account_interval_minute=refresh_interval, + ) + + +class ConfigStore: + def __init__(self, path: Path): + self.path = path + DATA_DIR.mkdir(parents=True, exist_ok=True) + self.data = self._load() + self._storage_backend: StorageBackend | None = None + if _is_invalid_auth_key(self.auth_key): + raise ValueError( + "❌ auth-key 未设置！\n" + "请按以下任意一种方式解决：\n" + "1. 在 Render 的 Environment 变量中添加：\n" + " CHATGPT2API_AUTH_KEY = your_real_auth_key\n" + "2. 或者在 config.json 中填写：\n" + ' "auth-key": "your_real_auth_key"' + ) + + def _load(self) -> dict[str, object]: + return _read_json_object(self.path, name="config.json") + + def _save(self) -> None: + self.path.write_text(json.dumps(self.data, ensure_ascii=False, indent=2) + "\n", encoding="utf-8") + + @property + def auth_key(self) -> str: + return _normalize_auth_key(os.getenv("CHATGPT2API_AUTH_KEY") or self.data.get("auth-key")) + + @property + def accounts_file(self) -> Path: + return DATA_DIR / "accounts.json" + + @property + def refresh_account_interval_minute(self) -> int: + try: + return int(self.data.get("refresh_account_interval_minute", 5)) + except (TypeError, ValueError): + return 5 + + @property + def image_retention_days(self) -> int: + try: + return max(1, int(self.data.get("image_retention_days", 30))) + except (TypeError, ValueError): + return 30 + + @property + def image_poll_timeout_secs(self) -> int: + try: + return max(1, int(self.data.get("image_poll_timeout_secs", 120))) + except (TypeError, ValueError): + return 120 + + @property + def image_poll_interval_secs(self) -> float: + try: + return max(0.5, float(self.data.get("image_poll_interval_secs", 10.0))) + except (TypeError, ValueError): + return 10.0 + + @property + def image_poll_initial_wait_secs(self) -> float: + """Image generation upstream takes ~30s; polling immediately wastes requests + and trips a transient 429. Default 10s gives the conversation document time + to commit before the first poll.""" + try: + return max(0.0, float(self.data.get("image_poll_initial_wait_secs", 10.0))) + except (TypeError, ValueError): + return 10.0 + + @property + def image_account_concurrency(self) -> int: + try: + return max(1, int(self.data.get("image_account_concurrency", 3))) + except (TypeError, ValueError): + return 3 + + @property + def image_parallel_generation(self) -> bool: + value = self.data.get("image_parallel_generation", True) + if isinstance(value, str): + return value.strip().lower() in {"1", "true", "yes", "on"} + return bool(value) + + @property + def image_settle_enabled(self) -> bool: + """图片二次确认机制：找到 file_ids 后等待一段时间再次确认。""" + value = self.data.get("image_settle_enabled", True) + if isinstance(value, str): + return value.strip().lower() in {"1", "true", "yes", "on"} + return bool(value) + + @property + def image_check_before_hit_enabled(self) -> bool: + """先check再hit：通过轮询确认 file_ids 存在后再返回，而非仅依赖 SSE 事件。""" + value = self.data.get("image_check_before_hit_enabled", True) + if isinstance(value, str): + return value.strip().lower() in {"1", "true", "yes", "on"} + return bool(value) + + @property + def image_settle_secs(self) -> float: + """二次确认等待时间（秒）。""" + try: + return max(0.5, float(self.data.get("image_settle_secs", 2.0))) + except (TypeError, ValueError): + return 2.0 + + @property + def auto_remove_invalid_accounts(self) -> bool: + value = self.data.get("auto_remove_invalid_accounts", False) + if isinstance(value, str): + return value.strip().lower() in {"1", "true", "yes", "on"} + return bool(value) + + @property + def auto_remove_rate_limited_accounts(self) -> bool: + value = self.data.get("auto_remove_rate_limited_accounts", False) + if isinstance(value, str): + return value.strip().lower() in {"1", "true", "yes", "on"} + return bool(value) + + @property + def auto_relogin_after_refresh(self) -> bool: + value = self.data.get("auto_relogin_after_refresh", False) + if isinstance(value, str): + return value.strip().lower() in {"1", "true", "yes", "on"} + return bool(value) + + @property + def log_levels(self) -> list[str]: + levels = self.data.get("log_levels") + if not isinstance(levels, list): + return [] + allowed = {"debug", "info", "warning", "error"} + return [level for item in levels if (level := str(item or "").strip().lower()) in allowed] + + @property + def sensitive_words(self) -> list[str]: + words = self.data.get("sensitive_words") + return [word for item in words if (word := str(item or "").strip())] if isinstance(words, list) else [] + + @property + def ai_review(self) -> dict[str, object]: + value = self.data.get("ai_review") + return value if isinstance(value, dict) else {} + + @property + def global_system_prompt(self) -> str: + return str(self.data.get("global_system_prompt") or "").strip() + + @property + def images_dir(self) -> Path: + path = DATA_DIR / "images" + path.mkdir(parents=True, exist_ok=True) + return path + + @property + def image_thumbnails_dir(self) -> Path: + path = DATA_DIR / "image_thumbnails" + path.mkdir(parents=True, exist_ok=True) + return path + + def cleanup_old_images(self) -> int: + cutoff = time.time() - self.image_retention_days * 86400 + removed = 0 + for path in self.images_dir.rglob("*"): + if path.is_file() and path.stat().st_mtime < cutoff: + path.unlink() + removed += 1 + for path in sorted((p for p in self.images_dir.rglob("*") if p.is_dir()), key=lambda p: len(p.parts), reverse=True): + try: + path.rmdir() + except OSError: + pass + return removed + + @property + def base_url(self) -> str: + return str( + os.getenv("CHATGPT2API_BASE_URL") + or self.data.get("base_url") + or "" + ).strip().rstrip("/") + + @property + def app_version(self) -> str: + try: + value = VERSION_FILE.read_text(encoding="utf-8").strip() + except FileNotFoundError: + return "0.0.0" + return value or "0.0.0" + + def get(self) -> dict[str, object]: + data = dict(self.data) + data["refresh_account_interval_minute"] = self.refresh_account_interval_minute + data["image_retention_days"] = self.image_retention_days + data["image_poll_timeout_secs"] = self.image_poll_timeout_secs + data["image_poll_interval_secs"] = self.image_poll_interval_secs + data["image_poll_initial_wait_secs"] = self.image_poll_initial_wait_secs + data["image_account_concurrency"] = self.image_account_concurrency + data["image_parallel_generation"] = self.image_parallel_generation + data["auto_remove_invalid_accounts"] = self.auto_remove_invalid_accounts + data["auto_remove_rate_limited_accounts"] = self.auto_remove_rate_limited_accounts + data["auto_relogin_after_refresh"] = self.auto_relogin_after_refresh + data["log_levels"] = self.log_levels + data["sensitive_words"] = self.sensitive_words + data["ai_review"] = self.ai_review + data["global_system_prompt"] = self.global_system_prompt + data["backup"] = self.get_backup_settings() + data["image_storage"] = self.get_image_storage_settings() + data["chat_completion_cache"] = self.get_chat_completion_cache_settings() + data.pop("auth-key", None) + return data + + def get_proxy_settings(self) -> str: + return str(self.data.get("proxy") or "").strip() + + def update(self, data: dict[str, object]) -> dict[str, object]: + next_data = dict(self.data) + next_data.update(dict(data or {})) + if "backup" in next_data: + next_data["backup"] = _normalize_backup_settings(next_data.get("backup")) + if "image_storage" in next_data: + next_data["image_storage"] = _normalize_image_storage_settings(next_data.get("image_storage")) + _validate_image_storage_settings(next_data["image_storage"]) + if "chat_completion_cache" in next_data: + next_data["chat_completion_cache"] = _normalize_chat_completion_cache_settings( + next_data.get("chat_completion_cache") + ) + next_data.pop("backup_state", None) + self.data = next_data + self._save() + return self.get() + + def get_backup_settings(self) -> dict[str, object]: + return _normalize_backup_settings(self.data.get("backup")) + + def get_image_storage_settings(self) -> dict[str, object]: + return _normalize_image_storage_settings(self.data.get("image_storage")) + + def get_chat_completion_cache_settings(self) -> dict[str, object]: + return _normalize_chat_completion_cache_settings(self.data.get("chat_completion_cache")) + + def get_storage_backend(self) -> StorageBackend: + """获取存储后端实例（单例）""" + if self._storage_backend is None: + from services.storage.factory import create_storage_backend + self._storage_backend = create_storage_backend(DATA_DIR) + return self._storage_backend + + +def load_backup_state() -> dict[str, object]: + return _normalize_backup_state(_read_json_object(BACKUP_STATE_FILE, name="backup_state.json")) + + +def save_backup_state(state: dict[str, object]) -> dict[str, object]: + normalized = _normalize_backup_state(state) + BACKUP_STATE_FILE.write_text(json.dumps(normalized, ensure_ascii=False, indent=2) + "\n", encoding="utf-8") + return normalized + + +config = ConfigStore(CONFIG_FILE) diff --git a/services/content_filter.py b/services/content_filter.py new file mode 100644 index 0000000000000000000000000000000000000000..0ab24fe7f2fa7b3e7cb98ff941c85692b5b9d2d8 --- /dev/null +++ b/services/content_filter.py @@ -0,0 +1,242 @@ +from __future__ import annotations + +import re + +from curl_cffi import requests +from fastapi import HTTPException + +from services.config import config +from services.proxy_service import proxy_settings +from utils.log import logger + +DEFAULT_REVIEW_PROMPT = "判断用户请求是否允许。只回答 ALLOW 或 REJECT。" + +# Strip base64 image data URIs before review: a text-only review model can't +# analyze image bytes, and a single inlined image easily blows past the token +# budget of the upstream review service. +_BASE64_DATA_URI = re.compile(r"data:[\w/.+;-]+;base64,[A-Za-z0-9+/=]+") + +# Cap aligned to the upstream review service's max context. If text still +# exceeds the cap after base64 stripping, keep equal head/tail halves so both +# the system prompt and the most recent user message survive. +_MAX_REVIEW_TEXT_LEN = 100_000 +_TRUNCATION_MARKER = "\n…[truncated]…\n" + + +def _text(value: object) -> str: + if isinstance(value, str): + return value + if isinstance(value, list): + return "\n".join(_text(item) for item in value) + if isinstance(value, dict): + return "\n".join(_text(value.get(key)) for key in ("text", "input_text", "content", "input", "instructions", "system", "prompt")) + return "" + + +def request_text(*values: object) -> str: + return "\n".join(part for value in values if (part := _text(value).strip())) + + +def request_shape(*values: object) -> dict[str, int]: + """Return a safe structural summary without logging prompts or image bytes.""" + stats = { + "response_message_items": 0, + "input_image_parts": 0, + "image_url_parts": 0, + "image_parts": 0, + "data_url_images": 0, + "remote_image_urls": 0, + "literal_image_placeholders": 0, + } + + def walk(value: object, key: str = "") -> None: + if isinstance(value, str): + text = value.strip() + lower = text.lower() + if "" in lower: + stats["literal_image_placeholders"] += 1 + if lower.startswith("data:image/"): + stats["data_url_images"] += 1 + elif key in {"image_url", "url"} and lower.startswith(("http://", "https://")): + stats["remote_image_urls"] += 1 + return + if isinstance(value, list): + for item in value: + walk(item, key) + return + if not isinstance(value, dict): + return + item_type = str(value.get("type") or "").strip() + if item_type == "message": + stats["response_message_items"] += 1 + elif item_type == "input_image": + stats["input_image_parts"] += 1 + elif item_type == "image_url": + stats["image_url_parts"] += 1 + elif item_type == "image": + stats["image_parts"] += 1 + for child_key, child in value.items(): + walk(child, str(child_key)) + + for value in values: + walk(value) + return {key: value for key, value in stats.items() if value} + + +def _sanitize_for_review(text: str) -> tuple[str, dict[str, int]]: + """Strip base64 data URIs and truncate to the review-service context limit. + + Returns (sanitized_text, stats) where stats carries base64_blocks_stripped + and truncated_chars so callers can emit structured logs. + """ + sanitized, base64_blocks_stripped = _BASE64_DATA_URI.subn("[image]", text) + truncated_chars = 0 + if len(sanitized) > _MAX_REVIEW_TEXT_LEN: + # Reserve marker space so the result stays within the cap. + half = (_MAX_REVIEW_TEXT_LEN - len(_TRUNCATION_MARKER)) // 2 + truncated_chars = len(sanitized) - 2 * half + sanitized = sanitized[:half] + _TRUNCATION_MARKER + sanitized[-half:] + stats = { + "base64_blocks_stripped": base64_blocks_stripped, + "truncated_chars": truncated_chars, + } + return sanitized, stats + + +def _extract_review_decision(data: object) -> str | None: + """Defensively pull the decision text out of the review service response. + + Returns None when the response shape doesn't match the OpenAI chat-completion + contract (e.g. {"error": ...} with no choices). The caller treats None as + "undecided" and applies the configured fail-open policy. + """ + if not isinstance(data, dict): + return None + choices = data.get("choices") + if not isinstance(choices, list) or not choices: + return None + first = choices[0] + if not isinstance(first, dict): + return None + message = first.get("message") + if not isinstance(message, dict): + return None + content = message.get("content") + if content is None: + return None + return str(content).strip().lower() + + +def _is_allow_decision(decision: str) -> bool: + return decision.startswith(("allow", "pass", "true", "yes", "通过", "允许", "安全")) + + +def _is_reject_decision(decision: str) -> bool: + return decision.startswith(("reject", "deny", "block", "false", "no", "拒绝", "不允许", "违规", "禁止")) + + +def _resolve_fail_open(review: dict) -> bool: + """Resolve fail_open from review config. Defaults to True.""" + value = review.get("fail_open") + if value is None: + return True + if isinstance(value, bool): + return value + if isinstance(value, str): + return value.strip().lower() in {"1", "true", "yes", "on"} + return bool(value) + + +def check_request(text: str) -> None: + text = str(text or "") + if not text.strip(): + return + # Local sensitive-word match runs on the raw text (cheap, no network). + for word in config.sensitive_words: + if word in text: + raise HTTPException(status_code=400, detail={"error": "检测到敏感词，拒绝本次任务"}) + review = config.ai_review + if not review.get("enabled"): + return + base_url = str(review.get("base_url") or "").strip().rstrip("/") + api_key = str(review.get("api_key") or "").strip() + model = str(review.get("model") or "").strip() + if not base_url or not api_key or not model: + raise HTTPException(status_code=400, detail={"error": "ai review config is incomplete"}) + + fail_open = _resolve_fail_open(review) + + review_text, sanitize_stats = _sanitize_for_review(text) + if sanitize_stats["base64_blocks_stripped"] or sanitize_stats["truncated_chars"]: + logger.info({ + "event": "ai_review_text_sanitized", + "original_text_len": len(text), + "review_text_len": len(review_text), + **sanitize_stats, + }) + prompt = str(review.get("prompt") or DEFAULT_REVIEW_PROMPT).strip() + content = f"{prompt}\n\n用户请求:\n{review_text}\n\n只回答 ALLOW 或 REJECT。" + + # fail_open=True (default): on upstream failure or ambiguous reply, let the + # request through. The review is a soft safety net; one missed review is + # preferable to a 5xx storm when the review service is flaky. Set + # config.ai_review.fail_open=false for strict-compliance deployments. + def _on_failure(event_payload: dict) -> None: + logger.warning(event_payload) + if not fail_open: + raise HTTPException( + status_code=503, + detail={"error": "AI 审核服务暂时不可用，请稍后重试"}, + ) + + try: + response = requests.post( + f"{base_url}/v1/chat/completions", + headers={"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}, + json={"model": model, "messages": [{"role": "user", "content": content}], "temperature": 0}, + timeout=60, + **proxy_settings.build_session_kwargs(), + ) + except Exception as exc: + _on_failure({ + "event": "ai_review_request_failed", + "error": str(exc), + "error_type": exc.__class__.__name__, + "review_text_len": len(review_text), + "original_text_len": len(text), + }) + return + + try: + data = response.json() + except Exception as exc: + _on_failure({ + "event": "ai_review_response_not_json", + "status_code": response.status_code, + "body_preview": str(response.text or "")[:200], + "error": str(exc), + }) + return + + decision = _extract_review_decision(data) + if decision is None: + _on_failure({ + "event": "ai_review_malformed_response", + "status_code": response.status_code, + "body_preview": str(data)[:300], + "review_text_len": len(review_text), + "original_text_len": len(text), + }) + return + + if _is_allow_decision(decision): + return + if _is_reject_decision(decision): + raise HTTPException(status_code=400, detail={"error": "AI 审核未通过，拒绝本次任务"}) + # Ambiguous decisions (e.g. "MAYBE", empty content) fall back to fail-open policy. + _on_failure({ + "event": "ai_review_ambiguous_decision", + "decision": decision[:100], + "review_text_len": len(review_text), + }) + return diff --git a/services/cpa_service.py b/services/cpa_service.py new file mode 100644 index 0000000000000000000000000000000000000000..2326426d1e50d2810318ae2653d4bfdc6ed8ac12 --- /dev/null +++ b/services/cpa_service.py @@ -0,0 +1,315 @@ +"""CLIProxyAPI integration for browsing remote auth files and importing selected tokens.""" + +from __future__ import annotations + +import json +import threading +import uuid +from concurrent.futures import ThreadPoolExecutor, as_completed +from datetime import datetime, timezone +from pathlib import Path +from threading import Lock + +from curl_cffi.requests import Session + +from services.account_service import account_service +from services.config import DATA_DIR +from services.proxy_service import proxy_settings + + +CPA_CONFIG_FILE = DATA_DIR / "cpa_config.json" + + +def _new_id() -> str: + return uuid.uuid4().hex[:12] + + +def _now_iso() -> str: + return datetime.now(timezone.utc).isoformat() + + +def _normalize_import_job(raw: object, *, fail_unfinished: bool) -> dict | None: + if not isinstance(raw, dict): + return None + status = str(raw.get("status") or "failed").strip() or "failed" + if fail_unfinished and status in {"pending", "running"}: + status = "failed" + return { + "job_id": str(raw.get("job_id") or uuid.uuid4().hex).strip(), + "status": status, + "created_at": str(raw.get("created_at") or _now_iso()).strip() or _now_iso(), + "updated_at": str(raw.get("updated_at") or raw.get("created_at") or _now_iso()).strip() or _now_iso(), + "total": int(raw.get("total") or 0), + "completed": int(raw.get("completed") or 0), + "added": int(raw.get("added") or 0), + "skipped": int(raw.get("skipped") or 0), + "refreshed": int(raw.get("refreshed") or 0), + "failed": int(raw.get("failed") or 0), + "errors": raw.get("errors") if isinstance(raw.get("errors"), list) else [], + } + + +def _normalize_pool(raw: dict) -> dict: + return { + "id": str(raw.get("id") or _new_id()).strip(), + "name": str(raw.get("name") or "").strip(), + "base_url": str(raw.get("base_url") or "").strip(), + "secret_key": str(raw.get("secret_key") or "").strip(), + "import_job": _normalize_import_job(raw.get("import_job"), fail_unfinished=True), + } + + +def _management_headers(secret_key: str) -> dict[str, str]: + return { + "Authorization": f"Bearer {secret_key}", + "Accept": "application/json", + } + + +class CPAConfig: + def __init__(self, store_file: Path): + self._store_file = store_file + self._lock = Lock() + self._pools: list[dict] = self._load() + + def _load(self) -> list[dict]: + if not self._store_file.exists(): + return [] + try: + raw = json.loads(self._store_file.read_text(encoding="utf-8")) + if isinstance(raw, dict) and "base_url" in raw: + pool = _normalize_pool(raw) + return [pool] if pool["base_url"] else [] + if isinstance(raw, list): + return [_normalize_pool(item) for item in raw if isinstance(item, dict)] + except Exception: + pass + return [] + + def _save(self) -> None: + self._store_file.parent.mkdir(parents=True, exist_ok=True) + self._store_file.write_text(json.dumps(self._pools, ensure_ascii=False, indent=2) + "\n", encoding="utf-8") + + def list_pools(self) -> list[dict]: + with self._lock: + return [dict(pool) for pool in self._pools] + + def get_pool(self, pool_id: str) -> dict | None: + with self._lock: + for pool in self._pools: + if pool["id"] == pool_id: + return dict(pool) + return None + + def add_pool(self, name: str, base_url: str, secret_key: str) -> dict: + pool = _normalize_pool({"id": _new_id(), "name": name, "base_url": base_url, "secret_key": secret_key}) + with self._lock: + self._pools.append(pool) + self._save() + return dict(pool) + + def update_pool(self, pool_id: str, updates: dict) -> dict | None: + with self._lock: + for index, pool in enumerate(self._pools): + if pool["id"] != pool_id: + continue + merged = {**pool, **{key: value for key, value in updates.items() if value is not None}, "id": pool_id} + self._pools[index] = _normalize_pool(merged) + self._save() + return dict(self._pools[index]) + return None + + def delete_pool(self, pool_id: str) -> bool: + with self._lock: + before = len(self._pools) + self._pools = [pool for pool in self._pools if pool["id"] != pool_id] + if len(self._pools) < before: + self._save() + return True + return False + + def set_import_job(self, pool_id: str, import_job: dict | None) -> dict | None: + with self._lock: + for index, pool in enumerate(self._pools): + if pool["id"] != pool_id: + continue + next_pool = dict(pool) + next_pool["import_job"] = _normalize_import_job(import_job, fail_unfinished=False) + self._pools[index] = next_pool + self._save() + return dict(next_pool) + return None + + def get_import_job(self, pool_id: str) -> dict | None: + with self._lock: + for pool in self._pools: + if pool["id"] == pool_id: + job = pool.get("import_job") + return dict(job) if isinstance(job, dict) else None + return None + + +def list_remote_files(pool: dict) -> list[dict]: + base_url = str(pool.get("base_url") or "").strip() + secret_key = str(pool.get("secret_key") or "").strip() + if not base_url or not secret_key: + return [] + + url = f"{base_url.rstrip('/')}/v0/management/auth-files" + session = Session(**proxy_settings.build_session_kwargs(verify=True)) + try: + response = session.get(url, headers=_management_headers(secret_key), timeout=30) + if not response.ok: + raise RuntimeError(f"remote list failed: HTTP {response.status_code}") + payload = response.json() + finally: + session.close() + + files = payload.get("files") if isinstance(payload, dict) else None + if not isinstance(files, list): + raise RuntimeError("remote list payload is invalid") + + items: list[dict] = [] + for item in files: + if not isinstance(item, dict): + continue + name = str(item.get("name") or "").strip() + email = str(item.get("email") or item.get("account") or "").strip() + if not name: + continue + items.append({"name": name, "email": email}) + return items + + +def fetch_remote_access_token(pool: dict, file_name: str) -> tuple[str | None, str | None]: + base_url = str(pool.get("base_url") or "").strip() + secret_key = str(pool.get("secret_key") or "").strip() + file_name = str(file_name or "").strip() + if not base_url or not secret_key or not file_name: + return None, "invalid request" + + url = f"{base_url.rstrip('/')}/v0/management/auth-files/download" + session = Session(**proxy_settings.build_session_kwargs(verify=True)) + try: + response = session.get(url, headers=_management_headers(secret_key), params={"name": file_name}, timeout=30) + if not response.ok: + return None, f"HTTP {response.status_code}" + payload = response.json() + except Exception as exc: + return None, str(exc) + finally: + session.close() + + if not isinstance(payload, dict): + return None, "invalid payload" + + access_token = str(payload.get("access_token") or "").strip() + if not access_token: + return None, "missing access_token" + return access_token, None + + +class CPAImportService: + def __init__(self, cpa_config: CPAConfig): + self._config = cpa_config + + def start_import(self, pool: dict, selected_files: list[str]) -> dict: + names = [str(name or "").strip() for name in selected_files if str(name or "").strip()] + if not names: + raise ValueError("selected files is required") + + pool_id = str(pool.get("id") or "").strip() + job = { + "job_id": uuid.uuid4().hex, + "status": "pending", + "created_at": _now_iso(), + "updated_at": _now_iso(), + "total": len(names), + "completed": 0, + "added": 0, + "skipped": 0, + "refreshed": 0, + "failed": 0, + "errors": [], + } + saved_pool = self._config.set_import_job(pool_id, job) + if saved_pool is None: + raise ValueError("pool not found") + + thread = threading.Thread( + target=self._run_import, + args=(pool_id, pool, names), + name=f"cpa-import-{pool_id}", + daemon=True, + ) + thread.start() + return dict(saved_pool.get("import_job") or job) + + def _update_job(self, pool_id: str, **updates) -> dict | None: + current = self._config.get_import_job(pool_id) + if current is None: + return None + next_job = {**current, **updates, "updated_at": _now_iso()} + pool = self._config.set_import_job(pool_id, next_job) + if pool is None: + return None + job = pool.get("import_job") + return dict(job) if isinstance(job, dict) else None + + def _append_error(self, pool_id: str, file_name: str, message: str) -> None: + current = self._config.get_import_job(pool_id) + if current is None: + return + errors = list(current.get("errors") or []) + errors.append({"name": file_name, "error": message}) + self._update_job(pool_id, errors=errors, failed=len(errors)) + + def _run_import(self, pool_id: str, pool: dict, names: list[str]) -> None: + self._update_job(pool_id, status="running") + + tokens: list[str] = [] + max_workers = min(16, max(1, len(names))) + with ThreadPoolExecutor(max_workers=max_workers) as executor: + future_map = {executor.submit(fetch_remote_access_token, pool, name): name for name in names} + for future in as_completed(future_map): + file_name = future_map[future] + try: + token, error = future.result() + except Exception as exc: + token, error = None, str(exc) + + if token: + tokens.append(token) + else: + self._append_error(pool_id, file_name, error or "unknown error") + + current = self._config.get_import_job(pool_id) or {} + failed = len(current.get("errors") or []) + self._update_job(pool_id, completed=int(current.get("completed") or 0) + 1, failed=failed) + + if not tokens: + current = self._config.get_import_job(pool_id) or {} + self._update_job( + pool_id, + status="failed", + completed=int(current.get("total") or 0), + failed=len(current.get("errors") or []), + ) + return + + add_result = account_service.add_accounts(tokens, source_type="codex") + refresh_result = account_service.refresh_accounts(tokens) + current = self._config.get_import_job(pool_id) or {} + self._update_job( + pool_id, + status="completed", + completed=len(names), + added=int(add_result.get("added") or 0), + skipped=int(add_result.get("skipped") or 0), + refreshed=int(refresh_result.get("refreshed") or 0), + failed=len(current.get("errors") or []), + ) + + +cpa_config = CPAConfig(CPA_CONFIG_FILE) +cpa_import_service = CPAImportService(cpa_config) diff --git a/services/editable_file_task_service.py b/services/editable_file_task_service.py new file mode 100644 index 0000000000000000000000000000000000000000..77fe552ada470c38e5406388a64dc53a68fe53ed --- /dev/null +++ b/services/editable_file_task_service.py @@ -0,0 +1,256 @@ +from __future__ import annotations + +import json +import threading +import time +from datetime import datetime +from pathlib import Path +from typing import Any +from urllib.parse import quote + +from services.account_service import account_service +from services.config import DATA_DIR +from services.content_filter import request_text +from services.log_service import LOG_TYPE_CALL, log_service +from services.openai_backend_api import EDITABLE_FILE_MODEL, OpenAIBackendAPI +from utils.helper import new_uuid + +TASK_STATUS_QUEUED = "queued" +TASK_STATUS_RUNNING = "running" +TASK_STATUS_SUCCESS = "success" +TASK_STATUS_ERROR = "error" +UNFINISHED_STATUSES = {TASK_STATUS_QUEUED, TASK_STATUS_RUNNING} +EDITABLE_FILE_PLAN_TYPES = ("Plus", "Team", "Pro", "Enterprise") +EDITABLE_FILE_ROOT = DATA_DIR / "files" +EDITABLE_FILE_TASKS_PATH = DATA_DIR / "editable_file_tasks.json" + + +def _now_iso() -> str: + return datetime.now().strftime("%Y-%m-%d %H:%M:%S") + + +def _clean(value: object, default: str = "") -> str: + return str(value or default).strip() + + +def _owner_id(identity: dict[str, object]) -> str: + return _clean(identity.get("id")) or "anonymous" + + +def _task_key(owner_id: str, task_id: str) -> str: + return f"{owner_id}:{task_id}" + + +def _elapsed_seconds(task: dict[str, Any]) -> int: + start = float(task.get("started_ts") or task.get("created_ts") or 0) + end = float(task.get("ended_ts") or time.time()) + return max(0, int(end - start)) if start else 0 + + +def _file_url(path: Path, base_url: str) -> str: + rel = path.resolve().relative_to(EDITABLE_FILE_ROOT.resolve()).as_posix() + prefix = str(base_url or "").strip().rstrip("/") + return f"{prefix}/files/{quote(rel, safe='/')}" if prefix else f"/files/{quote(rel, safe='/')}" + + +def _editable_access_token() -> str: + accounts = [ + item for item in account_service.list_accounts() + if _clean(item.get("access_token")) + and item.get("status") not in {"禁用", "异常"} + and account_service._account_matches_any_plan_type(item, EDITABLE_FILE_PLAN_TYPES) + ] + if not accounts: + raise RuntimeError("no available plus/team/pro account") + accounts.sort(key=lambda item: _clean(item.get("last_used_at"))) + token = _clean(accounts[0].get("access_token")) + return account_service.refresh_access_token(token, event="editable_file_task") or token + + +def _public_task(task: dict[str, Any]) -> dict[str, Any]: + item = { + "id": task.get("id"), + "taskId": task.get("id"), + "status": task.get("status"), + "kind": task.get("kind"), + "created_at": task.get("created_at"), + "updated_at": task.get("updated_at"), + "elapsed_seconds": _elapsed_seconds(task), + } + for key in ("result", "error"): + if task.get(key): + item[key] = task[key] + return item + + +class EditableFileTaskService: + def __init__(self, path: Path = EDITABLE_FILE_TASKS_PATH) -> None: + self.path = path + self._lock = threading.RLock() + self._tasks: dict[str, dict[str, Any]] = {} + self.path.parent.mkdir(parents=True, exist_ok=True) + with self._lock: + self._tasks = self._load_locked() + if self._recover_unfinished_locked(): + self._save_locked() + + def submit_ppt(self, identity: dict[str, object], *, client_task_id: str = "", prompt: str = "", base64_images: list[str] | None = None, base_url: str = "") -> dict[str, Any]: + return self._submit(identity, client_task_id=client_task_id, kind="ppt", prompt=prompt, base64_images=base64_images or [], base_url=base_url) + + def submit_psd(self, identity: dict[str, object], *, client_task_id: str = "", prompt: str = "", base64_images: list[str] | None = None, base_url: str = "") -> dict[str, Any]: + return self._submit(identity, client_task_id=client_task_id, kind="psd", prompt=prompt, base64_images=base64_images or [], base_url=base_url) + + def list_tasks(self, identity: dict[str, object], task_ids: list[str]) -> dict[str, Any]: + owner = _owner_id(identity) + requested = [_clean(item) for item in task_ids if _clean(item)] + with self._lock: + if requested: + items = [task for task_id in requested if (task := self._tasks.get(_task_key(owner, task_id)))] + return {"items": [_public_task(item) for item in items], "missing_ids": [task_id for task_id in requested if _task_key(owner, task_id) not in self._tasks]} + items = [task for task in self._tasks.values() if task.get("owner_id") == owner] + items.sort(key=lambda item: str(item.get("updated_at") or ""), reverse=True) + return {"items": [_public_task(item) for item in items], "missing_ids": []} + + def _submit(self, identity: dict[str, object], *, client_task_id: str, kind: str, prompt: str, base64_images: list[str], base_url: str) -> dict[str, Any]: + task_id = _clean(client_task_id) or new_uuid() + owner = _owner_id(identity) + key = _task_key(owner, task_id) + now = _now_iso() + with self._lock: + if key in self._tasks: + return _public_task(self._tasks[key]) + ts = time.time() + self._tasks[key] = {"id": task_id, "owner_id": owner, "status": TASK_STATUS_QUEUED, "kind": kind, "model": EDITABLE_FILE_MODEL, "created_at": now, "updated_at": now, "created_ts": ts, "updated_ts": ts} + task = dict(self._tasks[key]) + self._save_locked() + threading.Thread(target=self._run_task, args=(key, kind, prompt, base64_images, dict(identity), base_url), name=f"{kind}-file-task-{task_id[:16]}", daemon=True).start() + return _public_task(task) + + def _run_task(self, key: str, kind: str, prompt: str, base64_images: list[str], identity: dict[str, object], base_url: str) -> None: + started = time.time() + token = "" + account_email = "" + self._update_task(key, status=TASK_STATUS_RUNNING, error="", started_ts=started) + try: + if kind == "psd" and not base64_images: + raise ValueError("base64_images is empty") + token = _editable_access_token() + account = account_service.get_account(token) or {} + account_email = _clean(account.get("email")) + backend = OpenAIBackendAPI(token) + output_dir = EDITABLE_FILE_ROOT / kind / key.rsplit(":", 1)[-1] + result = backend.export_psd_zip(base64_images, prompt, output_dir) if kind == "psd" else backend.export_ppt_zip(base64_images, prompt, output_dir) + account_service.mark_text_used(token) + data = {"conversation_id": result.conversation_id, "primary_url": _file_url(result.primary_path, base_url), "zip_url": _file_url(result.zip_path, base_url)} + self._update_task(key, status=TASK_STATUS_SUCCESS, result=data, account_email=account_email, error="", ended_ts=time.time()) + self._log_call(identity, kind, started, request_text(prompt), account_email=account_email, result=data) + except Exception as exc: + error = str(exc) or "editable file task failed" + self._update_task(key, status=TASK_STATUS_ERROR, error=error, account_email=account_email, ended_ts=time.time()) + self._log_call(identity, kind, started, request_text(prompt), status="failed", error=error, account_email=account_email) + + def public_file_path(self, relative_path: str) -> Path: + raw = str(relative_path or "").replace("\\", "/").lstrip("/") + path = (EDITABLE_FILE_ROOT / raw).resolve() + path.relative_to(EDITABLE_FILE_ROOT.resolve()) + if not path.is_file(): + raise FileNotFoundError(raw) + return path + + def _update_task(self, key: str, **updates: Any) -> None: + with self._lock: + task = self._tasks.get(key) + if task is None: + return + task.update(updates) + task["updated_at"] = _now_iso() + task["updated_ts"] = time.time() + self._save_locked() + + def _load_locked(self) -> dict[str, dict[str, Any]]: + if not self.path.exists(): + return {} + try: + raw = json.loads(self.path.read_text(encoding="utf-8")) + except Exception: + return {} + tasks: dict[str, dict[str, Any]] = {} + for item in (raw.get("tasks") if isinstance(raw, dict) else raw) or []: + if not isinstance(item, dict): + continue + task_id = _clean(item.get("id")) + owner = _clean(item.get("owner_id")) + if not task_id or not owner: + continue + task = { + "id": task_id, + "owner_id": owner, + "status": _clean(item.get("status"), TASK_STATUS_ERROR), + "kind": "psd" if item.get("kind") == "psd" else "ppt", + "created_at": _clean(item.get("created_at"), _now_iso()), + "updated_at": _clean(item.get("updated_at"), _clean(item.get("created_at"), _now_iso())), + "created_ts": float(item.get("created_ts") or 0), + "updated_ts": float(item.get("updated_ts") or 0), + } + for field in ("result", "error", "started_ts", "ended_ts"): + if item.get(field): + task[field] = item[field] + tasks[_task_key(owner, task_id)] = task + return tasks + + def _save_locked(self) -> None: + items = sorted(self._tasks.values(), key=lambda item: str(item.get("updated_at") or ""), reverse=True) + tmp_path = self.path.with_suffix(self.path.suffix + ".tmp") + tmp_path.write_text(json.dumps({"tasks": items}, ensure_ascii=False, indent=2) + "\n", encoding="utf-8") + tmp_path.replace(self.path) + + def _recover_unfinished_locked(self) -> bool: + changed = False + for task in self._tasks.values(): + if task.get("status") in UNFINISHED_STATUSES: + task["status"] = TASK_STATUS_ERROR + task["error"] = "服务已重启，未完成的任务已中断" + task["ended_ts"] = time.time() + task["updated_at"] = _now_iso() + task["updated_ts"] = time.time() + changed = True + return changed + + def _log_call( + self, + identity: dict[str, object], + kind: str, + started: float, + request_preview: str, + *, + status: str = "success", + error: str = "", + account_email: str = "", + result: dict[str, str] | None = None, + ) -> None: + detail = { + "key_id": identity.get("id"), + "key_name": identity.get("name"), + "role": identity.get("role"), + "endpoint": f"/v1/{kind}/generations", + "model": EDITABLE_FILE_MODEL, + "started_at": datetime.fromtimestamp(started).strftime("%Y-%m-%d %H:%M:%S"), + "ended_at": _now_iso(), + "duration_ms": int((time.time() - started) * 1000), + "status": status, + } + if request_preview: + detail["request_text"] = request_preview + if account_email: + detail["account_email"] = account_email + if error: + detail["error"] = error + if result: + detail["result"] = result + try: + log_service.add(LOG_TYPE_CALL, f"{kind.upper()}生成任务{'失败' if status == 'failed' else '完成'}", detail) + except Exception: + pass + + +editable_file_task_service = EditableFileTaskService() diff --git a/services/image_service.py b/services/image_service.py new file mode 100644 index 0000000000000000000000000000000000000000..ebe627f8b26811d70c7c188acc3dd34f5ea42075 --- /dev/null +++ b/services/image_service.py @@ -0,0 +1,376 @@ +from __future__ import annotations + +import io +import shutil +import threading +import time +import zipfile +from pathlib import Path + +from fastapi import HTTPException +from fastapi.responses import FileResponse, Response +from PIL import Image, ImageOps + +from services.config import config +from services.image_storage_service import image_storage_service +from services.image_tags_service import load_tags, remove_tags +from utils.log import logger + +THUMBNAIL_SIZE = (320, 320) + + +def _cleanup_empty_dirs(root: Path) -> None: + for path in sorted((p for p in root.rglob("*") if p.is_dir()), key=lambda p: len(p.parts), reverse=True): + try: + path.rmdir() + except OSError: + pass + + +def _safe_relative_path(path: str) -> str: + value = str(path or "").strip().replace("\\", "/").lstrip("/") + if not value: + raise HTTPException(status_code=404, detail="image not found") + parts = Path(value).parts + if any(part in {"", ".", ".."} for part in parts): + raise HTTPException(status_code=404, detail="image not found") + return Path(*parts).as_posix() + + +def _safe_image_path(relative_path: str) -> Path: + rel = _safe_relative_path(relative_path) + root = config.images_dir.resolve() + path = (root / rel).resolve() + try: + path.relative_to(root) + except ValueError as exc: + raise HTTPException(status_code=404, detail="image not found") from exc + if not path.is_file(): + raise HTTPException(status_code=404, detail="image not found") + return path + + +def get_image_response(relative_path: str) -> FileResponse | Response: + headers = { + "Access-Control-Allow-Origin": "*", + "Access-Control-Allow-Methods": "GET, OPTIONS", + "Access-Control-Allow-Headers": "*", + } + if image_storage_service.has_local(relative_path): + return FileResponse(_safe_image_path(relative_path), headers=headers) + return Response(content=image_storage_service.get_bytes(relative_path), media_type="image/png", headers=headers) + + +def _thumbnail_path(relative_path: str) -> Path: + rel = _safe_relative_path(relative_path) + return config.image_thumbnails_dir / f"{rel}.png" + + +def thumbnail_url(base_url: str, relative_path: str) -> str: + return f"{base_url.rstrip('/')}/image-thumbnails/{_safe_relative_path(relative_path)}" + + +def _image_dimensions(path: Path) -> tuple[int, int] | None: + try: + with Image.open(path) as image: + return image.size + except Exception: + return None + + +def ensure_thumbnail(relative_path: str) -> Path: + target = _thumbnail_path(relative_path) + source_mtime = 0.0 + source: Path | None = None + if image_storage_service.has_local(relative_path): + source = _safe_image_path(relative_path) + source_mtime = source.stat().st_mtime + if target.exists() and (not source_mtime or target.stat().st_mtime >= source_mtime): + return target + + target.parent.mkdir(parents=True, exist_ok=True) + try: + image_source = source if source is not None else io.BytesIO(image_storage_service.get_bytes(relative_path)) + with Image.open(image_source) as image: + image = ImageOps.exif_transpose(image) + if image.mode not in {"RGB", "RGBA"}: + image = image.convert("RGBA" if "A" in image.getbands() else "RGB") + image.thumbnail(THUMBNAIL_SIZE, Image.Resampling.LANCZOS) + image.save(target, format="PNG", optimize=True) + except HTTPException: + raise + except Exception as exc: + raise HTTPException(status_code=422, detail="failed to create thumbnail") from exc + return target + + +def get_thumbnail_response(relative_path: str) -> FileResponse: + headers = { + "Access-Control-Allow-Origin": "*", + "Access-Control-Allow-Methods": "GET, OPTIONS", + "Access-Control-Allow-Headers": "*", + } + return FileResponse(ensure_thumbnail(relative_path), headers=headers) + + +def get_image_download_response(relative_path: str) -> FileResponse: + cors_headers = { + "Access-Control-Allow-Origin": "*", + "Access-Control-Allow-Methods": "GET, OPTIONS", + "Access-Control-Allow-Headers": "*", + } + if image_storage_service.has_local(relative_path): + path = _safe_image_path(relative_path) + headers = {**cors_headers, "Content-Disposition": f'attachment; filename="{path.name}"'} + return FileResponse(path, filename=path.name, headers=headers) + rel = _safe_relative_path(relative_path) + headers = { + **cors_headers, + "Content-Disposition": f'attachment; filename="{Path(rel).name}"', + } + return Response( + content=image_storage_service.get_bytes(rel), + media_type="image/png", + headers=headers, + ) + + +def cleanup_image_thumbnails() -> int: + thumbnails_root = config.image_thumbnails_dir + removed = 0 + for path in thumbnails_root.rglob("*"): + if not path.is_file(): + continue + rel = path.relative_to(thumbnails_root).as_posix() + if not rel.endswith(".png") or not image_storage_service.exists(rel[:-4]): + path.unlink() + removed += 1 + _cleanup_empty_dirs(thumbnails_root) + return removed + +def list_images(base_url: str, start_date: str = "", end_date: str = "") -> dict[str, object]: + config.cleanup_old_images() + cleanup_image_thumbnails() + all_tags = load_tags() + items = [ + { + **item, + "url": str(item.get("url") or f"{base_url.rstrip('/')}/images/{item['path']}"), + "thumbnail_url": thumbnail_url(base_url, str(item["path"])), + "tags": all_tags.get(str(item["path"]), []), + } + for item in image_storage_service.list_items(base_url, start_date, end_date) + ] + groups: dict[str, list[dict[str, object]]] = {} + for item in items: + groups.setdefault(str(item["date"]), []).append(item) + return {"items": items, "groups": [{"date": key, "items": value} for key, value in groups.items()]} + + +def delete_images(paths: list[str] | None = None, start_date: str = "", end_date: str = "", all_matching: bool = False) -> dict[str, int]: + root = config.images_dir.resolve() + targets = [ + str(item["path"]) + for item in image_storage_service.list_items("", start_date=start_date, end_date=end_date) + ] if all_matching else (paths or []) + removed = 0 + for item in targets: + path = (root / item).resolve() + try: + path.relative_to(root) + except ValueError: + continue + if image_storage_service.delete(item): + removed += 1 + for thumbnail in (_thumbnail_path(item), config.image_thumbnails_dir / _safe_relative_path(item)): + if thumbnail.is_file(): + thumbnail.unlink() + remove_tags(item) + _cleanup_empty_dirs(root) + _cleanup_empty_dirs(config.image_thumbnails_dir) + return {"removed": removed} + + +def download_images_zip(paths: list[str]) -> io.BytesIO: + root = config.images_dir.resolve() + buf = io.BytesIO() + added = 0 + used_names: set[str] = set() + with zipfile.ZipFile(buf, "w", zipfile.ZIP_DEFLATED) as zf: + for item in paths: + rel = _safe_relative_path(item) + path = (root / rel).resolve() + payload: bytes | None = None + try: + path.relative_to(root) + except ValueError: + continue + if path.is_file(): + payload = path.read_bytes() + else: + try: + payload = image_storage_service.get_bytes(rel) + except Exception: + continue + name = path.name + if name in used_names: + stem = path.stem + suffix = path.suffix + counter = 2 + while f"{stem}_{counter}{suffix}" in used_names: + counter += 1 + name = f"{stem}_{counter}{suffix}" + used_names.add(name) + zf.writestr(name, payload) + added += 1 + if added == 0: + raise HTTPException(status_code=404, detail="no images found") + buf.seek(0) + return buf +def storage_stats() -> dict: + import shutil + usage = shutil.disk_usage(config.images_dir) + total_mb = usage.total // (1024 * 1024) + used_mb = usage.used // (1024 * 1024) + free_mb = usage.free // (1024 * 1024) + + image_count = 0 + image_size = 0 + for p in config.images_dir.rglob("*"): + if p.is_file(): + image_count += 1 + image_size += p.stat().st_size + + return { + "disk_total_mb": total_mb, + "disk_used_mb": used_mb, + "disk_free_mb": free_mb, + "image_count": image_count, + "image_size_mb": image_size // (1024 * 1024), + "image_size_bytes": image_size, + } + + +def compress_images(quality: int = 60) -> dict: + """重新压缩所有图片，返回节省的空间""" + saved = 0 + count = 0 + for p in sorted(config.images_dir.rglob("*.png")): + if not p.is_file(): + continue + try: + orig = p.stat().st_size + with Image.open(p) as img: + img = ImageOps.exif_transpose(img) + img.save(str(p) + ".tmp", format="PNG", optimize=True) + new_size = Path(str(p) + ".tmp").stat().st_size + if new_size < orig: + Path(str(p) + ".tmp").replace(p) + saved += orig - new_size + count += 1 + else: + Path(str(p) + ".tmp").unlink() + except Exception: + pass + return {"compressed": count, "saved_bytes": saved, "saved_mb": saved // (1024 * 1024)} + + +def delete_to_target(target_free_mb: int, dry_run: bool = False) -> dict: + """删除最旧的图片直到剩余空间达到 target_free_mb""" + import shutil + usage = shutil.disk_usage(config.images_dir) + current_free = usage.free // (1024 * 1024) + if current_free >= target_free_mb and not dry_run: + return {"removed": 0, "current_free_mb": current_free, "target_free_mb": target_free_mb, "done": True} + + files = sorted( + (p for p in config.images_dir.rglob("*.png") if p.is_file()), + key=lambda p: p.stat().st_mtime, + ) + removed = 0 + freed = 0 + for p in files: + if current_free + freed // (1024 * 1024) >= target_free_mb: + break + size = p.stat().st_size + if not dry_run: + rel = p.relative_to(config.images_dir).as_posix() + for tp in (_thumbnail_path(rel), config.image_thumbnails_dir / _safe_relative_path(rel)): + if tp.is_file(): + tp.unlink() + remove_tags(rel) + p.unlink() + freed += size + removed += 1 + + if not dry_run: + _cleanup_empty_dirs(config.images_dir) + _cleanup_empty_dirs(config.image_thumbnails_dir) + + return { + "removed": removed, + "freed_mb": freed // (1024 * 1024), + "target_free_mb": target_free_mb, + "current_free_mb": current_free + (freed // (1024 * 1024)), + "done": (current_free + freed // (1024 * 1024)) >= target_free_mb, + "dry_run": dry_run, + } + + +def download_images_zip(paths: list[str]) -> io.BytesIO: + root = config.images_dir.resolve() + buf = io.BytesIO() + added = 0 + used_names: set[str] = set() + with zipfile.ZipFile(buf, "w", zipfile.ZIP_DEFLATED) as zf: + for item in paths: + rel = _safe_relative_path(item) + path = (root / rel).resolve() + try: + path.relative_to(root) + except ValueError: + continue + if not path.is_file(): + continue + name = path.name + if name in used_names: + stem = path.stem + suffix = path.suffix + counter = 2 + while f"{stem}_{counter}{suffix}" in used_names: + counter += 1 + name = f"{stem}_{counter}{suffix}" + used_names.add(name) + zf.write(path, name) + added += 1 + if added == 0: + raise HTTPException(status_code=404, detail="no images found") + buf.seek(0) + return buf + + +def _auto_cleanup_worker(stop_event: threading.Event) -> None: + """后台线程：每30分钟检查存储，空间低于阈值自动清理最旧图片""" + import shutil + min_free_mb = getattr(config, "image_min_free_mb", None) + if min_free_mb is None: + min_free_mb = 500 + + while not stop_event.wait(1800): # 每30分钟 + try: + config.cleanup_old_images() + cleanup_image_thumbnails() + usage = shutil.disk_usage(config.images_dir) + free_mb = usage.free // (1024 * 1024) + if free_mb < min_free_mb: + logger.info({"event": "image_auto_cleanup", "free_mb": free_mb, "min_free_mb": min_free_mb}) + result = delete_to_target(min_free_mb) + logger.info({"event": "image_auto_cleanup_done", **result}) + except Exception: + pass + + +def start_image_cleanup_scheduler(stop_event: threading.Event) -> threading.Thread: + t = threading.Thread(target=_auto_cleanup_worker, args=(stop_event,), daemon=True, name="image-cleanup") + t.start() + return t diff --git a/services/image_storage_service.py b/services/image_storage_service.py new file mode 100644 index 0000000000000000000000000000000000000000..1b4216d9aab593fb31f1fb5dbe030f190f76f178 --- /dev/null +++ b/services/image_storage_service.py @@ -0,0 +1,405 @@ +from __future__ import annotations + +import hashlib +import io +import json +import time +from dataclasses import dataclass +from datetime import datetime +from pathlib import Path +from threading import Lock +from urllib.parse import quote, urlparse + +from curl_cffi import requests +from fastapi import HTTPException +from PIL import Image + +from services.config import DATA_DIR, config + +IMAGE_INDEX_FILE = DATA_DIR / "image_index.json" +IMAGE_INDEX_LOCK = Lock() +IMAGE_EXTENSIONS = {".png", ".jpg", ".jpeg", ".webp"} + + +class ImageStorageError(RuntimeError): + pass + + +@dataclass(frozen=True) +class StoredImage: + rel: str + url: str + storage: str + size: int + + +def _clean(value: object) -> str: + return str(value or "").strip() + + +def _now_iso() -> str: + return datetime.now().strftime("%Y-%m-%d %H:%M:%S") + + +def _safe_relative_path(path: str) -> str: + value = str(path or "").strip().replace("\\", "/").lstrip("/") + if not value: + raise HTTPException(status_code=404, detail="image not found") + parts = Path(value).parts + if any(part in {"", ".", ".."} for part in parts): + raise HTTPException(status_code=404, detail="image not found") + return Path(*parts).as_posix() + + +def _image_dimensions(payload: bytes) -> tuple[int, int] | None: + try: + with Image.open(io.BytesIO(payload)) as image: + return image.size + except Exception: + return None + + +def _is_image_rel(path: str) -> bool: + try: + safe_rel = _safe_relative_path(path) + except HTTPException: + return False + return Path(safe_rel).suffix.lower() in IMAGE_EXTENSIONS + + +def _local_image_path(relative_path: str) -> Path: + rel = _safe_relative_path(relative_path) + root = config.images_dir.resolve() + path = (root / rel).resolve() + try: + path.relative_to(root) + except ValueError as exc: + raise HTTPException(status_code=404, detail="image not found") from exc + return path + + +def _read_json_object(path: Path) -> dict[str, object]: + if not path.exists(): + return {} + try: + data = json.loads(path.read_text(encoding="utf-8")) + except Exception: + return {} + return data if isinstance(data, dict) else {} + + +def _write_json_object(path: Path, data: dict[str, object]) -> None: + path.parent.mkdir(parents=True, exist_ok=True) + tmp_path = path.with_suffix(path.suffix + ".tmp") + tmp_path.write_text(json.dumps(data, ensure_ascii=False, indent=2) + "\n", encoding="utf-8") + tmp_path.replace(path) + + +class WebDAVClient: + def __init__(self, settings: dict[str, object]): + self.url = _clean(settings.get("webdav_url")).rstrip("/") + self.username = _clean(settings.get("webdav_username")) + self.password = _clean(settings.get("webdav_password")) + self.root_path = _clean(settings.get("webdav_root_path")).strip("/") + self.session = requests.Session() + + def _auth_kwargs(self) -> dict[str, object]: + return {"auth": (self.username, self.password)} if self.username or self.password else {} + + def _request(self, method: str, url: str, **kwargs): + response = self.session.request(method, url, timeout=30, **self._auth_kwargs(), **kwargs) + if response.status_code >= 400 and not (method == "MKCOL" and response.status_code in {405}): + raise ImageStorageError(f"WebDAV {method} failed: HTTP {response.status_code}") + return response + + def remote_url(self, rel: str = "") -> str: + parts = [part for part in [self.root_path, _safe_relative_path(rel) if rel else ""] if part] + encoded = "/".join(quote(part, safe="") for item in parts for part in item.split("/") if part) + return f"{self.url}/{encoded}" if encoded else self.url + + def ensure_dirs(self, rel: str) -> None: + parts = [part for part in [self.root_path, Path(_safe_relative_path(rel)).parent.as_posix()] if part and part != "."] + current = self.url + for item in "/".join(parts).split("/"): + if not item: + continue + current = f"{current}/{quote(item, safe='')}" + response = self.session.request("MKCOL", current, timeout=30, **self._auth_kwargs()) + if response.status_code in {201, 405}: + continue + if response.status_code >= 400: + raise ImageStorageError(f"WebDAV MKCOL failed: HTTP {response.status_code}") + + def put(self, rel: str, payload: bytes, content_type: str = "image/png") -> str: + self.ensure_dirs(rel) + url = self.remote_url(rel) + self._request("PUT", url, data=payload, headers={"Content-Type": content_type}) + return url + + def get(self, rel: str) -> bytes: + response = self._request("GET", self.remote_url(rel)) + return bytes(response.content) + + def delete(self, rel: str) -> bool: + response = self.session.request("DELETE", self.remote_url(rel), timeout=30, **self._auth_kwargs()) + if response.status_code in {200, 202, 204, 404}: + return response.status_code != 404 + raise ImageStorageError(f"WebDAV DELETE failed: HTTP {response.status_code}") + + def test(self) -> dict[str, object]: + if not self.url: + return {"ok": False, "status": 0, "error": "WebDAV URL is required"} + if urlparse(self.url).scheme not in {"http", "https"}: + return {"ok": False, "status": 0, "error": "invalid WebDAV URL"} + test_rel = ".chatgpt2api_webdav_test.txt" + try: + self.put(test_rel, b"chatgpt2api webdav test\n", content_type="text/plain") + self.delete(test_rel) + return {"ok": True, "status": 200, "error": None} + except ImageStorageError as exc: + return {"ok": False, "status": 0, "error": str(exc)} + except Exception as exc: + return {"ok": False, "status": 0, "error": str(exc) or exc.__class__.__name__} + finally: + self.session.close() + + +class ImageStorageService: + def __init__(self, index_file: Path = IMAGE_INDEX_FILE): + self.index_file = index_file + self._index_lock = IMAGE_INDEX_LOCK + + def settings(self) -> dict[str, object]: + return config.get_image_storage_settings() + + def mode(self) -> str: + return _clean(self.settings().get("mode")) or "local" + + def _load_index(self) -> dict[str, dict[str, object]]: + raw = _read_json_object(self.index_file) + items = raw.get("items") + if not isinstance(items, dict): + return {} + return {str(key): value for key, value in items.items() if isinstance(value, dict)} + + def _load_clean_index(self) -> dict[str, dict[str, object]]: + items = self._load_index() + return {rel: item for rel, item in items.items() if _is_image_rel(rel)} + + def _save_index(self, items: dict[str, dict[str, object]]) -> None: + _write_json_object(self.index_file, {"items": items}) + + def _public_url(self, rel: str, base_url: str | None = None) -> str: + settings = self.settings() + public_base_url = _clean(settings.get("public_base_url")) + if public_base_url: + return f"{public_base_url.rstrip('/')}/{_safe_relative_path(rel)}" + return f"{(base_url or config.base_url).rstrip('/')}/images/{_safe_relative_path(rel)}" + + def make_relative_path(self, image_data: bytes) -> str: + file_hash = hashlib.md5(image_data).hexdigest() + filename = f"{int(time.time())}_{file_hash}.png" + relative_dir = Path(time.strftime("%Y"), time.strftime("%m"), time.strftime("%d")) + return f"{relative_dir.as_posix()}/{filename}" + + def save(self, image_data: bytes, base_url: str | None = None) -> StoredImage: + config.cleanup_old_images() + rel = self.make_relative_path(image_data) + mode = self.mode() + if mode not in {"local", "webdav", "both"}: + mode = "local" + stored_local = False + stored_webdav = False + remote_url = "" + + if mode in {"local", "both"}: + path = _local_image_path(rel) + path.parent.mkdir(parents=True, exist_ok=True) + path.write_bytes(image_data) + stored_local = True + + if mode in {"webdav", "both"}: + remote_url = WebDAVClient(self.settings()).put(rel, image_data) + stored_webdav = True + + dimensions = _image_dimensions(image_data) + item = { + "rel": rel, + "path": rel, + "name": Path(rel).name, + "date": "-".join(rel.split("/")[:3]), + "size": len(image_data), + "created_at": _now_iso(), + "storage": "both" if stored_local and stored_webdav else ("webdav" if stored_webdav else "local"), + "local": stored_local, + "webdav": stored_webdav, + "remote_url": remote_url, + } + if dimensions: + item["width"], item["height"] = dimensions + with self._index_lock: + items = self._load_clean_index() + items[rel] = item + self._save_index(items) + return StoredImage(rel=rel, url=self._public_url(rel, base_url), storage=str(item["storage"]), size=len(image_data)) + + def get_bytes(self, rel: str) -> bytes: + safe_rel = _safe_relative_path(rel) + if not _is_image_rel(safe_rel): + raise HTTPException(status_code=404, detail="image not found") + path = _local_image_path(safe_rel) + if path.is_file(): + return path.read_bytes() + item = self._load_clean_index().get(safe_rel, {}) + if item.get("webdav"): + return WebDAVClient(self.settings()).get(safe_rel) + raise HTTPException(status_code=404, detail="image not found") + + def exists(self, rel: str) -> bool: + safe_rel = _safe_relative_path(rel) + if not _is_image_rel(safe_rel): + return False + if _local_image_path(safe_rel).is_file(): + return True + item = self._load_clean_index().get(safe_rel, {}) + return bool(item.get("webdav")) + + def has_local(self, rel: str) -> bool: + safe_rel = _safe_relative_path(rel) + return _is_image_rel(safe_rel) and _local_image_path(safe_rel).is_file() + + def list_items(self, base_url: str, start_date: str = "", end_date: str = "") -> list[dict[str, object]]: + with self._index_lock: + indexed = self._load_clean_index() + root = config.images_dir + changed = False + for path in root.rglob("*"): + if not path.is_file() or not _is_image_rel(path.name): + continue + rel = path.relative_to(root).as_posix() + if rel in indexed: + continue + dimensions = None + try: + dimensions = _image_dimensions(path.read_bytes()) + except Exception: + dimensions = None + indexed[rel] = { + "rel": rel, + "path": rel, + "name": path.name, + "date": "-".join(rel.split("/")[:3]) if len(rel.split("/")) >= 4 else datetime.fromtimestamp(path.stat().st_mtime).strftime("%Y-%m-%d"), + "size": path.stat().st_size, + "created_at": datetime.fromtimestamp(path.stat().st_mtime).strftime("%Y-%m-%d %H:%M:%S"), + "storage": "local", + "local": True, + "webdav": False, + **({"width": dimensions[0], "height": dimensions[1]} if dimensions else {}), + } + changed = True + + items: list[dict[str, object]] = [] + for rel, item in list(indexed.items()): + if not _is_image_rel(rel): + indexed.pop(rel, None) + changed = True + continue + local = _local_image_path(rel).is_file() + webdav = bool(item.get("webdav")) + if not local and not webdav: + indexed.pop(rel, None) + changed = True + continue + storage = "both" if local and webdav else ("webdav" if webdav else "local") + if item.get("local") != local or item.get("storage") != storage: + item = { + **item, + "local": local, + "storage": storage, + } + indexed[rel] = item + changed = True + day = str(item.get("date") or "") + if start_date and day < start_date: + continue + if end_date and day > end_date: + continue + items.append({ + **item, + "rel": rel, + "path": rel, + "url": self._public_url(rel, base_url), + }) + if changed: + self._save_index(indexed) + items.sort(key=lambda item: str(item.get("created_at") or ""), reverse=True) + return items + + def delete(self, rel: str) -> bool: + safe_rel = _safe_relative_path(rel) + removed = False + path = _local_image_path(safe_rel) + if path.is_file(): + path.unlink() + removed = True + with self._index_lock: + items = self._load_clean_index() + item = items.get(safe_rel, {}) + if item.get("webdav"): + try: + removed = WebDAVClient(self.settings()).delete(safe_rel) or removed + except ImageStorageError: + if not removed: + raise + if safe_rel in items: + items.pop(safe_rel, None) + self._save_index(items) + return removed + + def sync_all(self) -> dict[str, int]: + settings = self.settings() + if self.mode() not in {"webdav", "both"}: + raise ImageStorageError("WebDAV 图片存储未启用") + uploaded = 0 + skipped = 0 + failed = 0 + with self._index_lock: + items = self._load_clean_index() + client = WebDAVClient(settings) + for path in sorted(config.images_dir.rglob("*")): + if not path.is_file() or not _is_image_rel(path.name): + continue + rel = path.relative_to(config.images_dir).as_posix() + item = items.get(rel, {}) + if item.get("webdav"): + skipped += 1 + continue + try: + payload = path.read_bytes() + remote_url = client.put(rel, payload) + dimensions = _image_dimensions(payload) + items[rel] = { + **item, + "rel": rel, + "path": rel, + "name": path.name, + "date": "-".join(rel.split("/")[:3]) if len(rel.split("/")) >= 4 else datetime.fromtimestamp(path.stat().st_mtime).strftime("%Y-%m-%d"), + "size": len(payload), + "created_at": str(item.get("created_at") or datetime.fromtimestamp(path.stat().st_mtime).strftime("%Y-%m-%d %H:%M:%S")), + "storage": "both", + "local": True, + "webdav": True, + "remote_url": remote_url, + **({"width": dimensions[0], "height": dimensions[1]} if dimensions else {}), + } + uploaded += 1 + except Exception: + failed += 1 + self._save_index(items) + return {"uploaded": uploaded, "skipped": skipped, "failed": failed} + + def test_webdav(self) -> dict[str, object]: + return WebDAVClient(self.settings()).test() + + +image_storage_service = ImageStorageService() diff --git a/services/image_tags_service.py b/services/image_tags_service.py new file mode 100644 index 0000000000000000000000000000000000000000..21910ad54e0aa03433f31fa25a00a91e692a22b0 --- /dev/null +++ b/services/image_tags_service.py @@ -0,0 +1,76 @@ +from __future__ import annotations + +import json +from pathlib import Path + +from services.config import DATA_DIR + +TAGS_FILE = DATA_DIR / "image_tags.json" + + +def _ensure_file() -> None: + TAGS_FILE.parent.mkdir(parents=True, exist_ok=True) + if not TAGS_FILE.exists(): + TAGS_FILE.write_text("{}", encoding="utf-8") + + +def load_tags() -> dict[str, list[str]]: + _ensure_file() + try: + data = json.loads(TAGS_FILE.read_text(encoding="utf-8")) + except Exception: + return {} + return data if isinstance(data, dict) else {} + + +def save_tags(data: dict[str, list[str]]) -> None: + _ensure_file() + TAGS_FILE.write_text(json.dumps(data, ensure_ascii=False, indent=2) + "\n", encoding="utf-8") + + +def get_tags(image_rel: str) -> list[str]: + return load_tags().get(image_rel, []) + + +def set_tags(image_rel: str, tags: list[str]) -> list[str]: + data = load_tags() + cleaned = list(dict.fromkeys(t.strip() for t in tags if t.strip())) + if cleaned: + data[image_rel] = cleaned + else: + data.pop(image_rel, None) + save_tags(data) + return cleaned + + +def remove_tags(image_rel: str) -> None: + data = load_tags() + if data.pop(image_rel, None) is not None: + save_tags(data) + + +def delete_tag(tag: str) -> int: + """从所有图片中删除指定标签，返回受影响的图片数。""" + data = load_tags() + count = 0 + for rel in list(data): + if tag in data[rel]: + data[rel] = [t for t in data[rel] if t != tag] + if not data[rel]: + del data[rel] + count += 1 + if count > 0: + save_tags(data) + return count + + +def get_all_tags() -> list[str]: + data = load_tags() + seen: set[str] = set() + result: list[str] = [] + for tags in data.values(): + for t in tags: + if t not in seen: + seen.add(t) + result.append(t) + return result diff --git a/services/image_task_service.py b/services/image_task_service.py new file mode 100644 index 0000000000000000000000000000000000000000..43e1e3dd227ef661e5f6f7b0c260285469f70d40 --- /dev/null +++ b/services/image_task_service.py @@ -0,0 +1,544 @@ +from __future__ import annotations + +import json +import threading +import time +from collections.abc import Callable +from datetime import datetime +from pathlib import Path +from typing import Any + +from services.config import DATA_DIR, config +from services.content_filter import request_text +from services.log_service import LOG_TYPE_CALL, log_service +from services.protocol import openai_v1_image_edit, openai_v1_image_generations + +TASK_STATUS_QUEUED = "queued" +TASK_STATUS_RUNNING = "running" +TASK_STATUS_SUCCESS = "success" +TASK_STATUS_ERROR = "error" +TERMINAL_STATUSES = {TASK_STATUS_SUCCESS, TASK_STATUS_ERROR} +UNFINISHED_STATUSES = {TASK_STATUS_QUEUED, TASK_STATUS_RUNNING} + + +def _now_iso() -> str: + return datetime.now().strftime("%Y-%m-%d %H:%M:%S") + + +def _timestamp(value: object) -> float: + if not isinstance(value, str) or not value.strip(): + return 0.0 + for fmt in ("%Y-%m-%d %H:%M:%S", "%Y-%m-%dT%H:%M:%S.%f", "%Y-%m-%dT%H:%M:%S"): + try: + return datetime.strptime(value[:26], fmt).timestamp() + except ValueError: + continue + try: + return datetime.fromisoformat(value.replace("Z", "+00:00")).timestamp() + except Exception: + return 0.0 + + +def _clean(value: object, default: str = "") -> str: + return str(value or default).strip() + + +def _owner_id(identity: dict[str, object]) -> str: + return _clean(identity.get("id")) or "anonymous" + + +def _task_key(owner_id: str, task_id: str) -> str: + return f"{owner_id}:{task_id}" + + +def _collect_image_urls(data: list[Any]) -> list[str]: + urls: list[str] = [] + for item in data: + if isinstance(item, dict): + url = item.get("url") + if isinstance(url, str) and url: + urls.append(url) + return urls + + +def _public_task(task: dict[str, Any]) -> dict[str, Any]: + item = { + "id": task.get("id"), + "status": task.get("status"), + "mode": task.get("mode"), + "model": task.get("model"), + "size": task.get("size"), + "quality": task.get("quality"), + "created_at": task.get("created_at"), + "updated_at": task.get("updated_at"), + } + if task.get("conversation_id"): + item["conversation_id"] = task.get("conversation_id") + if task.get("data") is not None: + item["data"] = task.get("data") + if task.get("usage") is not None: + item["usage"] = task.get("usage") + if task.get("error"): + item["error"] = task.get("error") + if task.get("progress"): + item["progress"] = task.get("progress") + if task.get("duration_ms") is not None: + item["duration_ms"] = task.get("duration_ms") + if task.get("status") in (TASK_STATUS_RUNNING, TASK_STATUS_QUEUED): + if task.get("status") == TASK_STATUS_RUNNING: + # RUNNING 状态仅在 started_ts 被设置后（image_stream_resolve_start）才计时 + base_ts = task.get("started_ts") + else: + # QUEUED 状态从 created_ts 开始计时（排队等待中） + base_ts = task.get("created_ts") or task.get("updated_ts") + if base_ts: + item["elapsed_secs"] = round(time.time() - base_ts, 1) + return item + + +class ImageTaskService: + def __init__( + self, + path: Path, + *, + generation_handler: Callable[[dict[str, Any]], dict[str, Any]] = openai_v1_image_generations.handle, + edit_handler: Callable[[dict[str, Any]], dict[str, Any]] = openai_v1_image_edit.handle, + retention_days_getter: Callable[[], int] | None = None, + ): + self.path = path + self.generation_handler = generation_handler + self.edit_handler = edit_handler + self.retention_days_getter = retention_days_getter or (lambda: config.image_retention_days) + self._lock = threading.RLock() + self._tasks: dict[str, dict[str, Any]] = {} + self.path.parent.mkdir(parents=True, exist_ok=True) + with self._lock: + self._tasks = self._load_locked() + changed = self._recover_unfinished_locked() + changed = self._cleanup_locked() or changed + if changed: + self._save_locked() + + def submit_generation( + self, + identity: dict[str, object], + *, + client_task_id: str, + prompt: str, + model: str, + size: str | None, + quality: str = "auto", + base_url: str = "", + ) -> dict[str, Any]: + payload = { + "prompt": prompt, + "model": model, + "n": 1, + "size": size, + "quality": quality, + "response_format": "url", + "base_url": base_url, + } + return self._submit(identity, client_task_id=client_task_id, mode="generate", payload=payload) + + def submit_edit( + self, + identity: dict[str, object], + *, + client_task_id: str, + prompt: str, + model: str, + size: str | None, + quality: str = "auto", + base_url: str = "", + images: list[tuple[bytes, str, str]] | None = None, + ) -> dict[str, Any]: + payload = { + "prompt": prompt, + "images": images or [], + "model": model, + "n": 1, + "size": size, + "quality": quality, + "response_format": "url", + "base_url": base_url, + } + return self._submit(identity, client_task_id=client_task_id, mode="edit", payload=payload) + + def list_tasks(self, identity: dict[str, object], task_ids: list[str]) -> dict[str, Any]: + owner = _owner_id(identity) + requested_ids = [_clean(task_id) for task_id in task_ids if _clean(task_id)] + with self._lock: + if self._cleanup_locked(): + self._save_locked() + items = [] + missing_ids = [] + for task_id in requested_ids: + task = self._tasks.get(_task_key(owner, task_id)) + if task is None: + missing_ids.append(task_id) + else: + items.append(_public_task(task)) + if not requested_ids: + items = [ + _public_task(task) + for task in self._tasks.values() + if task.get("owner_id") == owner + ] + items.sort(key=lambda item: str(item.get("updated_at") or ""), reverse=True) + missing_ids = [] + return {"items": items, "missing_ids": missing_ids} + + def _submit( + self, + identity: dict[str, object], + *, + client_task_id: str, + mode: str, + payload: dict[str, Any], + ) -> dict[str, Any]: + task_id = _clean(client_task_id) + if not task_id: + raise ValueError("client_task_id is required") + owner = _owner_id(identity) + key = _task_key(owner, task_id) + now = _now_iso() + should_start = False + with self._lock: + cleaned = self._cleanup_locked() + task = self._tasks.get(key) + if task is not None: + if cleaned: + self._save_locked() + return _public_task(task) + task = { + "id": task_id, + "owner_id": owner, + "status": TASK_STATUS_QUEUED, + "mode": mode, + "model": _clean(payload.get("model"), "gpt-image-2"), + "size": _clean(payload.get("size")), + "quality": _clean(payload.get("quality"), "auto"), + "created_at": now, + "updated_at": now, + "created_ts": time.time(), + } + self._tasks[key] = task + self._save_locked() + should_start = True + + if should_start: + thread = threading.Thread( + target=self._run_task, + args=(key, mode, payload, dict(identity), _clean(payload.get("model"), "gpt-image-2")), + name=f"image-task-{task_id[:16]}", + daemon=True, + ) + thread.start() + return _public_task(task) + + def _run_task( + self, + key: str, + mode: str, + payload: dict[str, Any], + identity: dict[str, object], + model: str, + ) -> None: + started = time.time() + self._update_task(key, status=TASK_STATUS_RUNNING, error="") + # 创建进度回调，每个步骤完成后更新任务状态 + def progress_callback(step: str) -> None: + if step == "image_stream_resolve_start": + self._update_task(key, started_ts=time.time()) + self._update_task(key, progress=step) + # 将进度回调添加到 payload 中（handler 会提取并传递给 ConversationRequest） + payload_with_progress = {**payload, "progress_callback": progress_callback} + try: + handler = self.edit_handler if mode == "edit" else self.generation_handler + result = handler(payload_with_progress) + if not isinstance(result, dict): + raise RuntimeError("image task returned streaming result unexpectedly") + data = result.get("data") + account_email = _clean(result.get("_account_email") or result.get("account_email")) + if not isinstance(data, list) or not data: + upstream = _clean(result.get("message")) + if upstream: + message = upstream + else: + message = "号池中没有可用账号或所有账号均被限流，请检查号池状态（账号额度、是否被封禁、是否到达生图上限）" + error = RuntimeError(message) + if account_email: + setattr(error, "account_email", account_email) + raise error + usage = result.get("usage") + duration_ms = int((time.time() - started) * 1000) + self._update_task(key, status=TASK_STATUS_SUCCESS, data=data, usage=usage, error="", duration_ms=duration_ms) + self._log_call( + identity, + mode, + model, + started, + "调用完成", + request_preview=request_text(payload.get("prompt")), + urls=_collect_image_urls(data), + account_email=account_email, + ) + except Exception as exc: + error_message = str(exc) or "image task failed" + account_email = _clean(getattr(exc, "account_email", "")) + conversation_id = _clean(getattr(exc, "conversation_id", "")) + duration_ms = int((time.time() - started) * 1000) + self._update_task(key, status=TASK_STATUS_ERROR, error=error_message, data=[], + duration_ms=duration_ms, + **({"conversation_id": conversation_id} if conversation_id else {})) + self._log_call( + identity, + mode, + model, + started, + "调用失败", + request_preview=request_text(payload.get("prompt")), + status="failed", + error=error_message, + account_email=account_email, + ) + + def _log_call( + self, + identity: dict[str, object], + mode: str, + model: str, + started: float, + suffix: str, + *, + request_preview: str = "", + status: str = "success", + error: str = "", + urls: list[str] | None = None, + account_email: str = "", + ) -> None: + endpoint = "/v1/images/edits" if mode == "edit" else "/v1/images/generations" + summary_prefix = "图生图" if mode == "edit" else "文生图" + detail = { + "key_id": identity.get("id"), + "key_name": identity.get("name"), + "role": identity.get("role"), + "endpoint": endpoint, + "model": model, + "started_at": datetime.fromtimestamp(started).strftime("%Y-%m-%d %H:%M:%S"), + "ended_at": _now_iso(), + "duration_ms": int((time.time() - started) * 1000), + "status": status, + } + if request_preview: + detail["request_text"] = request_preview + if error: + detail["error"] = error + if account_email: + detail["account_email"] = account_email + if urls: + detail["urls"] = list(dict.fromkeys(urls)) + try: + log_service.add(LOG_TYPE_CALL, f"{summary_prefix}{suffix}", detail) + except Exception: + pass + + def _update_task(self, key: str, **updates: Any) -> None: + with self._lock: + task = self._tasks.get(key) + if task is None: + return + task.update(updates) + task["updated_at"] = _now_iso() + task["updated_ts"] = time.time() + self._save_locked() + + def _load_locked(self) -> dict[str, dict[str, Any]]: + if not self.path.exists(): + return {} + try: + raw = json.loads(self.path.read_text(encoding="utf-8")) + except Exception: + return {} + raw_items = raw.get("tasks") if isinstance(raw, dict) else raw + if not isinstance(raw_items, list): + return {} + tasks: dict[str, dict[str, Any]] = {} + for item in raw_items: + if not isinstance(item, dict): + continue + task_id = _clean(item.get("id")) + owner = _clean(item.get("owner_id")) + if not task_id or not owner: + continue + status = _clean(item.get("status")) + if status not in {TASK_STATUS_QUEUED, TASK_STATUS_RUNNING, TASK_STATUS_SUCCESS, TASK_STATUS_ERROR}: + status = TASK_STATUS_ERROR + task = { + "id": task_id, + "owner_id": owner, + "status": status, + "mode": "edit" if item.get("mode") == "edit" else "generate", + "model": _clean(item.get("model"), "gpt-image-2"), + "size": _clean(item.get("size")), + "quality": _clean(item.get("quality"), "auto"), + "created_at": _clean(item.get("created_at"), _now_iso()), + "updated_at": _clean(item.get("updated_at"), _clean(item.get("created_at"), _now_iso())), + "created_ts": item.get("created_ts"), + "updated_ts": item.get("updated_ts"), + "started_ts": item.get("started_ts"), + "duration_ms": item.get("duration_ms"), + } + data = item.get("data") + if isinstance(data, list): + task["data"] = data + usage = item.get("usage") + if isinstance(usage, dict): + task["usage"] = usage + error = _clean(item.get("error")) + if error: + task["error"] = error + tasks[_task_key(owner, task_id)] = task + return tasks + + def _save_locked(self) -> None: + items = sorted(self._tasks.values(), key=lambda item: str(item.get("updated_at") or ""), reverse=True) + tmp_path = self.path.with_suffix(self.path.suffix + ".tmp") + tmp_path.write_text(json.dumps({"tasks": items}, ensure_ascii=False, indent=2) + "\n", encoding="utf-8") + tmp_path.replace(self.path) + + def _recover_unfinished_locked(self) -> bool: + changed = False + for task in self._tasks.values(): + if task.get("status") in UNFINISHED_STATUSES: + task["status"] = TASK_STATUS_ERROR + task["error"] = "服务已重启，未完成的图片任务已中断" + task["updated_at"] = _now_iso() + changed = True + return changed + + def _cleanup_locked(self) -> bool: + try: + retention_days = max(1, int(self.retention_days_getter())) + except Exception: + retention_days = 30 + cutoff = time.time() - retention_days * 86400 + removed_keys = [ + key + for key, task in self._tasks.items() + if task.get("status") in TERMINAL_STATUSES and _timestamp(task.get("updated_at")) < cutoff + ] + for key in removed_keys: + self._tasks.pop(key, None) + return bool(removed_keys) + + def resume_poll( + self, + identity: dict[str, object], + task_id: str, + extra_timeout_secs: float = 30.0, + ) -> dict[str, Any]: + """恢复对已超时任务的轮询，额外等待 extra_timeout_secs 秒。""" + owner = _owner_id(identity) + key = _task_key(owner, _clean(task_id)) + with self._lock: + task = self._tasks.get(key) + if task is None: + raise ValueError("task not found") + if task.get("status") != TASK_STATUS_ERROR: + raise ValueError("task is not in error state") + error_msg = _clean(task.get("error")) + if "超时" not in error_msg: + raise ValueError("task error is not a timeout error") + conversation_id = _clean(task.get("conversation_id")) + if not conversation_id: + raise ValueError("task has no conversation_id") + mode = task.get("mode", "generate") + model = task.get("model", "gpt-image-2") + # 将任务状态重置为 running + self._update_task(key, status=TASK_STATUS_RUNNING, error="") + + # 启动新线程继续轮询 + thread = threading.Thread( + target=self._run_resume_poll, + args=(key, conversation_id, extra_timeout_secs, dict(identity), mode, model), + name=f"image-resume-{_clean(task_id)[:16]}", + daemon=True, + ) + thread.start() + return _public_task(task) + + def _run_resume_poll( + self, + key: str, + conversation_id: str, + extra_timeout_secs: float, + identity: dict[str, object], + mode: str, + model: str, + ) -> None: + """后台线程：继续轮询已有 conversation_id 的图片结果。""" + started = time.time() + try: + from services.openai_backend_api import OpenAIBackendAPI + from services.protocol.conversation import format_image_result + + backend = OpenAIBackendAPI(proxy_url=config.proxy_url or None) + file_ids, sediment_ids = backend._poll_image_results( + conversation_id, + extra_timeout_secs, + ) + if not file_ids and not sediment_ids: + raise RuntimeError( + f"继续等待 {extra_timeout_secs} 秒后仍未找到图片结果。" + ) + + image_urls = backend.resolve_conversation_image_urls( + conversation_id, file_ids, sediment_ids, poll=False, + ) + if not image_urls: + raise RuntimeError("图片 URL 解析失败") + + image_items = [ + {"b64_json": __import__("base64").b64encode(image_data).decode("ascii")} + for image_data in backend.download_image_bytes(image_urls) + ] + # 获取 task 的原始 prompt（从 _public_task 的 mode 判断） + with self._lock: + task = self._tasks.get(key) + quality = _clean(task.get("quality"), "auto") if task else "auto" + size = _clean(task.get("size")) if task else None + data = format_image_result( + image_items, + "", # prompt 已不重要，结果已经拿到了 + "b64_json", + "", + int(time.time()), + )["data"] + self._update_task(key, status=TASK_STATUS_SUCCESS, data=data, error="", duration_ms=int((time.time() - started) * 1000)) + self._log_call( + identity, + mode, + model, + started, + "调用完成（续轮询）", + status="success", + urls=_collect_image_urls(data), + ) + except Exception as exc: + error_message = str(exc) or "resume poll failed" + duration_ms = int((time.time() - started) * 1000) + self._update_task(key, status=TASK_STATUS_ERROR, error=error_message, data=[], duration_ms=duration_ms) + self._log_call( + identity, + mode, + model, + started, + "调用失败（续轮询）", + status="failed", + error=error_message, + ) + + +image_task_service = ImageTaskService(DATA_DIR / "image_tasks.json") diff --git a/services/log_service.py b/services/log_service.py new file mode 100644 index 0000000000000000000000000000000000000000..a420e1108f649522f1b002d98cb8099670678449 --- /dev/null +++ b/services/log_service.py @@ -0,0 +1,337 @@ +from __future__ import annotations + +import hashlib +import json +import itertools +import time +from dataclasses import dataclass, field +from datetime import datetime +from pathlib import Path +from typing import Any +from uuid import uuid4 + +from fastapi import HTTPException +from fastapi.concurrency import run_in_threadpool +from fastapi.responses import JSONResponse, StreamingResponse + +from services.config import DATA_DIR +from services.protocol.error_response import anthropic_error_response, openai_error_response +from utils.helper import anthropic_sse_stream, sse_json_stream + +LOG_TYPE_CALL = "call" +LOG_TYPE_ACCOUNT = "account" +INTERNAL_RESPONSE_KEYS = {"_account_email", "_conversation_id"} + + +class LogService: + def __init__(self, path: Path): + self.path = path + self.path.parent.mkdir(parents=True, exist_ok=True) + + @staticmethod + def _legacy_id(raw_line: str, line_number: int) -> str: + payload = f"{line_number}:{raw_line}".encode("utf-8", errors="ignore") + return hashlib.sha1(payload).hexdigest()[:24] + + def _parse_line(self, raw_line: str, line_number: int) -> dict[str, Any] | None: + try: + item = json.loads(raw_line) + except Exception: + return None + if not isinstance(item, dict): + return None + parsed = dict(item) + parsed["id"] = str(parsed.get("id") or self._legacy_id(raw_line, line_number)) + return parsed + + @staticmethod + def _serialize_item(item: dict[str, Any]) -> str: + return json.dumps(item, ensure_ascii=False, separators=(",", ":")) + + @staticmethod + def _matches_filters(item: dict[str, Any], *, type: str = "", start_date: str = "", end_date: str = "") -> bool: + t = str(item.get("time") or "") + day = t[:10] + if type and item.get("type") != type: + return False + if start_date and day < start_date: + return False + if end_date and day > end_date: + return False + return True + + def add(self, type: str, summary: str = "", detail: dict[str, Any] | None = None, **data: Any) -> None: + item = { + "id": uuid4().hex, + "time": datetime.now().strftime("%Y-%m-%d %H:%M:%S"), + "type": type, + "summary": summary, + "detail": detail or data, + } + with self.path.open("a", encoding="utf-8") as file: + file.write(self._serialize_item(item) + "\n") + + def list(self, type: str = "", start_date: str = "", end_date: str = "", limit: int = 200) -> list[dict[str, Any]]: + if not self.path.exists(): + return [] + items: list[dict[str, Any]] = [] + lines = self.path.read_text(encoding="utf-8").splitlines() + for line_number in range(len(lines) - 1, -1, -1): + item = self._parse_line(lines[line_number], line_number) + if item is None: + continue + if not self._matches_filters(item, type=type, start_date=start_date, end_date=end_date): + continue + items.append(item) + if len(items) >= limit: + break + return items + + def delete(self, ids: list[str]) -> dict[str, int]: + target_ids = {str(item or "").strip() for item in ids if str(item or "").strip()} + if not self.path.exists() or not target_ids: + return {"removed": 0} + lines = self.path.read_text(encoding="utf-8").splitlines() + kept_lines: list[str] = [] + removed = 0 + for line_number, raw_line in enumerate(lines): + item = self._parse_line(raw_line, line_number) + if item is None: + kept_lines.append(raw_line) + continue + if str(item.get("id") or "") in target_ids: + removed += 1 + continue + kept_lines.append(self._serialize_item(item)) + content = "\n".join(kept_lines) + if content: + content += "\n" + self.path.write_text(content, encoding="utf-8") + return {"removed": removed} + + +log_service = LogService(DATA_DIR / "logs.jsonl") + + +def _collect_urls(value: object) -> list[str]: + urls: list[str] = [] + if isinstance(value, dict): + for key, item in value.items(): + if key == "url" and isinstance(item, str): + urls.append(item) + elif key == "urls" and isinstance(item, list): + urls.extend(str(url) for url in item if isinstance(url, str)) + else: + urls.extend(_collect_urls(item)) + elif isinstance(value, list): + for item in value: + urls.extend(_collect_urls(item)) + return urls + + +def _collect_account_emails(value: object) -> list[str]: + emails: list[str] = [] + if isinstance(value, dict): + for key, item in value.items(): + if key in {"_account_email", "account_email"} and isinstance(item, str) and item.strip(): + emails.append(item.strip()) + else: + emails.extend(_collect_account_emails(item)) + elif isinstance(value, list): + for item in value: + emails.extend(_collect_account_emails(item)) + return emails + + +def _collect_conversation_ids(value: object) -> list[str]: + ids: list[str] = [] + if isinstance(value, dict): + for key, item in value.items(): + if key == "_conversation_id" and isinstance(item, str) and item.strip(): + ids.append(item.strip()) + else: + ids.extend(_collect_conversation_ids(item)) + elif isinstance(value, list): + for item in value: + ids.extend(_collect_conversation_ids(item)) + return ids + + +def _strip_internal_response_fields(value: object) -> object: + if isinstance(value, dict): + return { + key: _strip_internal_response_fields(item) + for key, item in value.items() + if key not in INTERNAL_RESPONSE_KEYS + } + if isinstance(value, list): + return [_strip_internal_response_fields(item) for item in value] + return value + + +def _request_excerpt(text: object, limit: int = 1000) -> str: + value = str(text or "").strip() + if not value: + return "" + normalized = " ".join(value.split()) + if len(normalized) <= limit: + return normalized + return normalized[: limit - 1].rstrip() + "…" + + +def _image_error_response(exc: Exception) -> JSONResponse: + from services.protocol.conversation import public_image_error_message + + message = public_image_error_message(str(exc)) + if "no available image quota" in message.lower(): + return openai_error_response( + { + "error": { + "message": "no available image quota", + "type": "insufficient_quota", + "param": None, + "code": "insufficient_quota", + } + }, + 429, + ) + if hasattr(exc, "to_openai_error") and hasattr(exc, "status_code"): + return JSONResponse(status_code=int(exc.status_code), content=exc.to_openai_error()) + return openai_error_response(message, 502) + + +def _protocol_error_response(exc: Exception, status_code: int, sse: str) -> JSONResponse: + message = str(exc) + if sse == "anthropic": + return anthropic_error_response(message, status_code) + return openai_error_response(message, status_code) + + +def _next_item(items): + try: + return True, next(items) + except StopIteration: + return False, None + + +@dataclass +class LoggedCall: + identity: dict[str, object] + endpoint: str + model: str + summary: str + started: float = field(default_factory=time.time) + request_text: str = "" + request_shape: dict[str, int] | None = None + + async def run(self, handler, *args, sse: str = "openai"): + from services.protocol.conversation import ImageGenerationError + + try: + result = await run_in_threadpool(handler, *args) + except ImageGenerationError as exc: + self.log("调用失败", status="failed", error=str(exc), account_email=getattr(exc, "account_email", ""), + conversation_id=getattr(exc, "conversation_id", "")) + return _image_error_response(exc) + except HTTPException as exc: + self.log("调用失败", status="failed", error=str(exc.detail)) + raise + except Exception as exc: + self.log("调用失败", status="failed", error=str(exc), account_email=getattr(exc, "account_email", "")) + if self.endpoint.startswith("/v1/images"): + return _image_error_response(exc) + return _protocol_error_response(exc, 502, sse) + + if isinstance(result, dict): + self.log("调用完成", result) + response = dict(result) + response.pop("_account_email", None) + return response + + sender = anthropic_sse_stream if sse == "anthropic" else sse_json_stream + try: + has_first, first = await run_in_threadpool(_next_item, result) + except ImageGenerationError as exc: + self.log("调用失败", status="failed", error=str(exc), account_email=getattr(exc, "account_email", ""), + conversation_id=getattr(exc, "conversation_id", "")) + return _image_error_response(exc) + except HTTPException as exc: + self.log("调用失败", status="failed", error=str(exc.detail)) + raise + except Exception as exc: + self.log("调用失败", status="failed", error=str(exc), account_email=getattr(exc, "account_email", "")) + if self.endpoint.startswith("/v1/images"): + return _image_error_response(exc) + return _protocol_error_response(exc, 502, sse) + if not has_first: + self.log("流式调用结束") + return StreamingResponse(sender(()), media_type="text/event-stream") + return StreamingResponse(sender(self.stream(itertools.chain([first], result))), media_type="text/event-stream") + + def stream(self, items): + urls: list[str] = [] + account_emails: list[str] = [] + conversation_ids: list[str] = [] + failed = False + try: + for item in items: + urls.extend(_collect_urls(item)) + account_emails.extend(_collect_account_emails(item)) + conversation_ids.extend(_collect_conversation_ids(item)) + yield _strip_internal_response_fields(item) + except Exception as exc: + failed = True + self.log( + "流式调用失败", + status="failed", + error=str(exc), + urls=urls, + account_email=(account_emails[0] if account_emails else getattr(exc, "account_email", "")), + conversation_id=(conversation_ids[0] if conversation_ids else getattr(exc, "conversation_id", "")), + ) + if self.endpoint.startswith("/v1/images") and not hasattr(exc, "to_openai_error"): + from services.protocol.conversation import ImageGenerationError, public_image_error_message + + raise ImageGenerationError(public_image_error_message(str(exc))) from exc + raise + finally: + if not failed: + self.log("流式调用结束", urls=urls, account_email=account_emails[0] if account_emails else "", + conversation_id=conversation_ids[0] if conversation_ids else "") + + def log(self, suffix: str, result: object = None, status: str = "success", error: str = "", + urls: list[str] | None = None, account_email: str = "", conversation_id: str = "") -> None: + detail = { + "key_id": self.identity.get("id"), + "key_name": self.identity.get("name"), + "role": self.identity.get("role"), + "endpoint": self.endpoint, + "model": self.model, + "started_at": datetime.fromtimestamp(self.started).strftime("%Y-%m-%d %H:%M:%S"), + "ended_at": datetime.now().strftime("%Y-%m-%d %H:%M:%S"), + "duration_ms": int((time.time() - self.started) * 1000), + "status": status, + } + request_excerpt = _request_excerpt(self.request_text) + if request_excerpt: + detail["request_text"] = request_excerpt + if self.request_shape: + detail["request_shape"] = self.request_shape + if error: + detail["error"] = error + email = str(account_email or "").strip() + if not email: + emails = _collect_account_emails(result) + email = emails[0] if emails else "" + if email: + detail["account_email"] = email + conv_id = str(conversation_id or "").strip() + if not conv_id: + conv_ids = _collect_conversation_ids(result) + conv_id = conv_ids[0] if conv_ids else "" + if conv_id: + detail["conversation_id"] = conv_id + collected_urls = [*(urls or []), *_collect_urls(result)] + if collected_urls and not self.endpoint.startswith("/v1/search"): + detail["urls"] = list(dict.fromkeys(collected_urls)) + log_service.add(LOG_TYPE_CALL, f"{self.summary}{suffix}", detail) diff --git a/services/oauth_login_service.py b/services/oauth_login_service.py new file mode 100644 index 0000000000000000000000000000000000000000..71dff6b5094ca0b2cd8a8aa9ed38dbe7e372c64c --- /dev/null +++ b/services/oauth_login_service.py @@ -0,0 +1,267 @@ +"""手动 OAuth 桥服务 + +让用户用自己浏览器走一遍 OpenAI 的标准 OAuth + PKCE 授权码流程： + 1. 后端生成 code_verifier / code_challenge / state，构造 authorize URL。 + 2. 用户在浏览器登录，浏览器最终被 OpenAI 重定向到 platform.openai.com 的 + callback 地址；用户从地址栏或 devtools 抓出 code，回填到前端。 + 3. 后端拿之前存好的 code_verifier + 回填的 code 调用 /api/accounts/oauth/token + 得到 {access_token, refresh_token, id_token}。 + +得到的 refresh_token 跟 account_service 自动刷新机制用的 client_id 是同一个 +（app_2SKx67EdpoN0G6j64rFvigXD），所以落盘后能直接进入 keepalive 周期。 +""" +from __future__ import annotations + +import secrets +import threading +import time +import uuid +from typing import Any +from urllib.parse import parse_qs, urlencode, urlparse + +from curl_cffi import requests + +from services.proxy_service import proxy_settings +from services.register.openai_register import ( + auth_base, + common_headers, + platform_auth0_client, + platform_base, + platform_oauth_audience, + platform_oauth_client_id, + platform_oauth_redirect_uri, + sec_ch_ua, + user_agent, +) + + +class OAuthLoginError(Exception): + """OAuth 桥流程中的可预期错误，会被 API 层翻译成 400。""" + + +class OAuthLoginService: + """维护 PKCE 临时会话，并完成 code → token 的兑换。""" + + _SESSION_TTL_SECONDS = 10 * 60 # 用户点开浏览器 + 拿 code 给的时间上限 + _MAX_SESSIONS = 64 # 防止异常累积；超过容量时清理最老的 + + def __init__(self) -> None: + self._lock = threading.Lock() + self._sessions: dict[str, dict[str, Any]] = {} + + @staticmethod + def _generate_pkce() -> tuple[str, str]: + """生成 PKCE code_verifier 与对应的 code_challenge（S256）。""" + from utils.pkce import generate_pkce + return generate_pkce() + + def _purge_expired_locked(self) -> None: + """清理过期或溢出容量的会话，必须在持锁状态下调用。""" + now = time.time() + expired = [sid for sid, item in self._sessions.items() if now - item["created_at"] > self._SESSION_TTL_SECONDS] + for sid in expired: + self._sessions.pop(sid, None) + if len(self._sessions) > self._MAX_SESSIONS: + ordered = sorted(self._sessions.items(), key=lambda kv: kv[1]["created_at"]) + for sid, _ in ordered[: len(self._sessions) - self._MAX_SESSIONS]: + self._sessions.pop(sid, None) + + def start(self, email_hint: str = "") -> dict[str, str]: + """登记一个新的 PKCE 会话，返回 session_id 与可让用户打开的 authorize_url。 + + state 形如 "."，让 callback URL 自带 session_id， + finish 时即便前端 React 状态被覆盖也能从 URL 恢复正确的 verifier。 + """ + verifier, challenge = self._generate_pkce() + nonce = secrets.token_urlsafe(32) + device_id = str(uuid.uuid4()) + session_id = uuid.uuid4().hex + state = f"{session_id}.{secrets.token_urlsafe(16)}" + + params = { + "issuer": auth_base, + "client_id": platform_oauth_client_id, + "audience": platform_oauth_audience, + "redirect_uri": platform_oauth_redirect_uri, + "device_id": device_id, + "screen_hint": "login_or_signup", + "max_age": "0", + "scope": "openid profile email offline_access", + "response_type": "code", + "response_mode": "query", + "state": state, + "nonce": nonce, + "code_challenge": challenge, + "code_challenge_method": "S256", + "auth0Client": platform_auth0_client, + } + email_hint = str(email_hint or "").strip() + if email_hint: + params["login_hint"] = email_hint + + authorize_url = f"{auth_base}/api/accounts/authorize?{urlencode(params)}" + + with self._lock: + self._purge_expired_locked() + self._sessions[session_id] = { + "code_verifier": verifier, + "state": state, + "created_at": time.time(), + "redirect_uri": platform_oauth_redirect_uri, + } + + return { + "session_id": session_id, + "authorize_url": authorize_url, + "expires_in": str(self._SESSION_TTL_SECONDS), + "redirect_uri_prefix": platform_oauth_redirect_uri, + } + + @staticmethod + def _extract_code_from_callback(value: str) -> tuple[str, str]: + """从 callback URL 或 raw code 中提取 (code, state)。 + + 既允许用户粘贴整段 platform.openai.com/auth/callback?code=...&state=... 的 URL， + 也允许只粘 code 本身。 + """ + raw = str(value or "").strip() + if not raw: + return "", "" + if raw.startswith("http://") or raw.startswith("https://"): + try: + parsed = parse_qs(urlparse(raw).query) + except Exception as exc: + raise OAuthLoginError(f"无法解析 callback URL: {exc}") from exc + code = str((parsed.get("code") or [""])[0]).strip() + state = str((parsed.get("state") or [""])[0]).strip() + if not code: + err = str((parsed.get("error_description") or parsed.get("error") or [""])[0]).strip() + raise OAuthLoginError(err or "callback URL 中没有 code 参数") + return code, state + # 用户可能直接粘了 code 字符串 + return raw, "" + + def finish(self, session_id: str, callback: str) -> dict[str, str]: + """用 session_id 配对的 code_verifier 把 callback 里的 code 换成 token 三件套。 + + - 优先用 callback URL 自带 state 里的 session_id（更可靠）， + 找不到才用前端传来的 session_id； + - 失败时不立刻销毁 session（OAuth code 错配换 token 失败通常不会消耗 code）， + 只有成功兑换才 pop，便于用户用同一 verifier 重试。 + """ + body_sid = str(session_id or "").strip() + code, state = self._extract_code_from_callback(callback) + if not code: + raise OAuthLoginError("缺少 code 或 callback URL") + + # state 里嵌的 session_id 优先级最高 + state_sid = state.split(".", 1)[0] if state else "" + candidate_sids = [sid for sid in (state_sid, body_sid) if sid] + if not candidate_sids: + raise OAuthLoginError("既未提供 session_id，callback URL 中也未携带 state") + + with self._lock: + self._purge_expired_locked() + session = None + picked_sid = "" + for sid in candidate_sids: + cur = self._sessions.get(sid) + if cur is not None: + session = cur + picked_sid = sid + break + if session is None: + raise OAuthLoginError( + "OAuth 会话已过期或不存在，请回到导入对话框点\"重新生成\"再走一次" + ) + + if state and session.get("state") and state != session["state"]: + raise OAuthLoginError( + "state 不匹配。常见原因：你点过两次\"打开授权页面\"，但浏览器里登录的还是前一次的窗口。请点\"重新生成\"重来。" + ) + + tokens = self._exchange_code( + code, + session["code_verifier"], + session.get("redirect_uri") or platform_oauth_redirect_uri, + ) + # 仅在成功兑换之后才消耗 session + with self._lock: + self._sessions.pop(picked_sid, None) + return tokens + + @staticmethod + def _exchange_code(code: str, code_verifier: str, redirect_uri: str) -> dict[str, str]: + """调用 /api/accounts/oauth/token 用 code+verifier 换 token 三件套。""" + kwargs = proxy_settings.build_session_kwargs(impersonate="chrome", verify=False) + session = requests.Session(**kwargs) + try: + response = session.post( + f"{auth_base}/api/accounts/oauth/token", + headers={ + **common_headers, + "referer": f"{platform_base}/", + "origin": platform_base, + "auth0-client": platform_auth0_client, + "sec-ch-ua": sec_ch_ua, + "user-agent": user_agent, + }, + json={ + "client_id": platform_oauth_client_id, + "code_verifier": code_verifier, + "grant_type": "authorization_code", + "code": code, + "redirect_uri": redirect_uri, + }, + timeout=60, + ) + except Exception as exc: + raise OAuthLoginError(f"换 token 网络异常: {exc}") from exc + finally: + session.close() + + try: + data = response.json() if response.text else {} + except Exception: + data = {} + + if response.status_code != 200 or not isinstance(data, dict) or not data.get("access_token"): + detail = "" + if isinstance(data, dict): + detail = str(data.get("error_description") or data.get("error") or data.get("message") or "") + if not detail: + try: + detail = str(response.text or "")[:300] + except Exception: + detail = "" + # 打到 docker logs 方便排错——OAuth 换 token 的失败原因往往只有这里能看到 + print( + f"[oauth-login] /api/accounts/oauth/token rejected: " + f"status={response.status_code} detail={detail!r} " + f"raw_body={(getattr(response, 'text', '') or '')[:500]!r}", + flush=True, + ) + raise OAuthLoginError( + f"OpenAI 拒绝换 token (HTTP {response.status_code}){': ' + detail if detail else ''}" + ) + + access_token = str(data.get("access_token") or "").strip() + refresh_token = str(data.get("refresh_token") or "").strip() + id_token = str(data.get("id_token") or "").strip() + + if not access_token: + raise OAuthLoginError("OpenAI 返回的 access_token 为空") + if not refresh_token: + # scope 含 offline_access 时正常会下发 refresh_token；这里给出明确提示 + raise OAuthLoginError( + "OpenAI 没有返回 refresh_token（可能 scope 未包含 offline_access 或 code 已使用过）" + ) + + return { + "access_token": access_token, + "refresh_token": refresh_token, + "id_token": id_token, + } + + +oauth_login_service = OAuthLoginService() diff --git a/services/openai_backend_api.py b/services/openai_backend_api.py new file mode 100644 index 0000000000000000000000000000000000000000..90fe75638051574f71e2674b5a3669a68050892b --- /dev/null +++ b/services/openai_backend_api.py @@ -0,0 +1,2606 @@ +import base64 +import json +import mimetypes +import os +import random +import re +import time + +import urllib.error +import urllib.request +from concurrent.futures import ThreadPoolExecutor +from dataclasses import dataclass +from io import BytesIO +from pathlib import Path +from collections.abc import Callable +from typing import Any, Dict, Iterator, Optional +from urllib.parse import unquote, urlparse + +from curl_cffi import requests +from PIL import Image + +from services.account_service import account_service +from services.config import config +from services.proxy_service import proxy_settings +from utils.helper import UpstreamHTTPError, ensure_ok, iter_sse_payloads, new_uuid, split_image_model +from utils.log import logger +from utils.pow import build_legacy_requirements_token, build_proof_token, parse_pow_resources +from utils.turnstile import solve_turnstile_token + + +class InvalidAccessTokenError(RuntimeError): + pass + + +class ImagePollTimeoutError(RuntimeError): + pass + + +class ImageContentPolicyError(RuntimeError): + """Raised when image generation is blocked by content policy moderation.""" + pass + + +@dataclass +class ChatRequirements: + """保存一次对话请求所需的 sentinel token。""" + token: str + proof_token: str = "" + turnstile_token: str = "" + so_token: str = "" + raw_finalize: Optional[Dict[str, Any]] = None + + +DEFAULT_CLIENT_VERSION = "prod-a194cd50d4416d3c0b47c740f206b12ce60f5887" +DEFAULT_CLIENT_BUILD_NUMBER = "6708908" +DEFAULT_POW_SCRIPT = "https://chatgpt.com/backend-api/sentinel/sdk.js" +CODEX_IMAGE_MODEL = "codex-gpt-image-2" +CODEX_RESPONSES_MODEL = "gpt-5.5" +SEARCH_MODEL = "gpt-5-5" +SEARCH_TIMEOUT_SECS = 300.0 +SEARCH_POLL_INTERVAL_SECS = 3.0 +SEARCH_DONE_STATUS = {"finished_successfully", "finished_partial_completion"} +SEARCH_CONVERSATION_ID_RE = re.compile(r'"conversation_id"\s*:\s*"([^"]+)"') +SEARCH_URL_RE = re.compile(r"https?://[^\s\"'<>）)\]}]+") +EDITABLE_FILE_MODEL = "gpt-5-5-thinking" +EDITABLE_FILE_THINKING_EFFORT = "extended" +EDITABLE_FILE_TIMEOUT_SECS = 1200.0 +EDITABLE_FILE_POLL_INTERVAL_SECS = 5.0 +EDITABLE_FILE_CLIENT_VERSION = "prod-bede35f9dcd856d080e012478f0c1031faa2588e" +EDITABLE_FILE_CLIENT_BUILD_NUMBER = "6631702" +EDITABLE_FILE_PSD_OUTPUT_DIR = "data/files/psd" +EDITABLE_FILE_PPT_OUTPUT_DIR = "data/files/ppt" +EDITABLE_FILE_PPT_PROMPT = """我需要你根据用户的需求，来制作一个可以编辑的PPT，你可以使用Agent来做，你不要再继续询问用户问题，内容风格、版式、配色、内容结构和页面信息你可以自行补充并直接执行。整体的流程如下： +1. 用生图的方式，帮我生成一个精美的产品介绍ppt，5-6个页面 +2. 帮我把以上涉及到的所有图像和形状素材拆分成单独png，每个素材单独一张图片，不要有遗漏，让我可以直接在ppt里拼接素材还原，不要文字 +3. 利用以上所有图片和形状素材，帮我还原你第一次生成的展示ppt，我需要是可编辑的ppt格式，主要部分需要你单独还原插入，文字需要可以编辑 +最后只需要给我生成一个PPT文件，以及生成中遇到的各种素材压缩包zip文件就行。""" +EDITABLE_FILE_PSD_PROMPT = "帮我生成这个图像，把这张海报分成若干图像，包括背景图，每个元素不要改位置，这样子我可以直接在 平时里无需拖动，底色为白色，不要伪透明底。再帮我将以上拆分的图像拼合成一个psd文件，去除白色底，不要改变每个图层的相应位置，保留每个元素所在图层的相应位置，保留每个元素的图层，最后只需要给我输出psd文件，以及每个图层的zip文件" +EDITABLE_ASSET_POINTER_RE = re.compile(r"(?:file-service|sediment)://([A-Za-z0-9_-]+)") +EDITABLE_ZIP_MIME_TYPES = {"application/zip", "application/x-zip-compressed"} +EDITABLE_PSD_MIME_TYPES = {"image/vnd.adobe.photoshop", "application/vnd.adobe.photoshop"} +EDITABLE_PPT_MIME_TYPES = { + "application/vnd.openxmlformats-officedocument.presentationml.presentation", + "application/vnd.ms-powerpoint", +} +EDITABLE_PSD_EXPORT_FILE_RE = re.compile(r"(?:sandbox:)?(/mnt/data/[^\s\"'\)\]]+\.(?:psd|zip))", re.IGNORECASE) +EDITABLE_PPT_EXPORT_FILE_RE = re.compile(r"(?:sandbox:)?(/mnt/data/[^\s\"'\)\]]+\.(?:pptx?|zip))", re.IGNORECASE) +FILE_SERVICE_ID_RE = re.compile(r"file-service://([A-Za-z0-9_-]+)") +FILE_ID_RE = re.compile(r"\b(file[-_](?!service\b)[A-Za-z0-9_-]+)\b") +# 真正的图片文件 ID 格式：file_00000000 + 24位十六进制字符（共32字符） +REAL_IMAGE_FILE_ID_RE = re.compile(r"\bfile_00000000[a-f0-9]{24}\b") +SEDIMENT_ID_RE = re.compile(r"sediment://([A-Za-z0-9_-]+)") +IMAGE_POLL_SETTLE_SECS = 2.0 +CODEX_RESPONSES_INSTRUCTIONS = ( + "Use the image_generation tool to create exactly one image for the user's request. " + "Return the generated image result." +) + +# 内容政策违规错误关键词（上游拒绝生成图片的各种表述） +_CONTENT_POLICY_KEYWORDS = ( + # 明确的内容政策违规 + "内容政策", "防护限制", "违反", "moderation", "policy", "blocked", + # 拒绝生成类 + "不能生成", "无法生成", "不能帮助", "无法帮助", + # 敏感内容类 + "裸体", "裸露", "色情", "性内容", "未成年", + # 通用拒绝 + "抱歉，我不能", +) + + +def _is_content_policy_error(error_msg: str) -> bool: + """检查错误消息是否为内容政策违规。""" + if not error_msg: + return False + msg_lower = error_msg.lower() + return any(keyword in msg_lower for keyword in _CONTENT_POLICY_KEYWORDS) + + +@dataclass +class EditableFileArtifact: + attachment_id: str = "" + file_id: str = "" + name: str = "" + mime_type: str = "" + create_time: float = 0.0 + author_role: str = "" + sandbox_path: str = "" + message_id: str = "" + + +@dataclass +class EditableFileExportResult: + conversation_id: str + primary_path: Path + zip_path: Path + + +class OpenAIBackendAPI: + """ChatGPT Web 后端封装。 + + 说明： + - 传入 `access_token` 时，聊天和模型列表都会走已登录链路 + 例如 `/backend-api/sentinel/chat-requirements`、`/backend-api/conversation` + - 不传 `access_token` 时，会走未登录链路 + 例如 `/backend-anon/sentinel/chat-requirements`、`/backend-anon/conversation` + - `stream_conversation()` 是底层统一流式入口 + - 协议兼容转换放在 `services.protocol` + """ + + def __init__(self, access_token: str = "") -> None: + """初始化后端客户端。 + + 参数： + - `access_token`：可选。传入后表示使用已登录链路；不传则使用未登录链路。 + """ + self.base_url = "https://chatgpt.com" + self.client_version = DEFAULT_CLIENT_VERSION + self.client_build_number = DEFAULT_CLIENT_BUILD_NUMBER + self.access_token = access_token + self.account = account_service.get_account(self.access_token) if self.access_token else {} + self.account = self.account if isinstance(self.account, dict) else {} + self.fp = self._build_fp() + self.user_agent = self.fp["user-agent"] + self.device_id = self.fp["oai-device-id"] + self.session_id = self.fp["oai-session-id"] + self.pow_script_sources: list[str] = [] + self.pow_data_build = "" + self.progress_callback: Callable[[str], None] | None = None + self.session = requests.Session(**proxy_settings.build_session_kwargs( + account=self.account, + impersonate=self.fp["impersonate"], + verify=True, + )) + self.session.headers.update({ + "User-Agent": self.user_agent, + "Origin": self.base_url, + "Referer": self.base_url + "/", + "Accept-Language": "zh-CN,zh;q=0.9,en;q=0.8,en-US;q=0.7", + "Cache-Control": "no-cache", + "Pragma": "no-cache", + "Priority": "u=1, i", + "Sec-Ch-Ua": self.fp["sec-ch-ua"], + "Sec-Ch-Ua-Arch": '"x86"', + "Sec-Ch-Ua-Bitness": '"64"', + "Sec-Ch-Ua-Full-Version": '"143.0.3650.96"', + "Sec-Ch-Ua-Full-Version-List": '"Microsoft Edge";v="143.0.3650.96", "Chromium";v="143.0.7499.147", "Not A(Brand";v="24.0.0.0"', + "Sec-Ch-Ua-Mobile": self.fp["sec-ch-ua-mobile"], + "Sec-Ch-Ua-Model": '""', + "Sec-Ch-Ua-Platform": self.fp["sec-ch-ua-platform"], + "Sec-Ch-Ua-Platform-Version": '"19.0.0"', + "Sec-Fetch-Dest": "empty", + "Sec-Fetch-Mode": "cors", + "Sec-Fetch-Site": "same-origin", + "OAI-Device-Id": self.device_id, + "OAI-Session-Id": self.session_id, + "OAI-Language": "zh-CN", + "OAI-Client-Version": self.client_version, + "OAI-Client-Build-Number": self.client_build_number, + }) + if self.access_token: + self.session.headers["Authorization"] = f"Bearer {self.access_token}" + + def _build_fp(self) -> Dict[str, str]: + account = self.account + raw_fp = account.get("fp") + fp = {str(k).lower(): str(v) for k, v in raw_fp.items()} if isinstance(raw_fp, dict) else {} + for key in ( + "user-agent", + "impersonate", + "oai-device-id", + "oai-session-id", + "sec-ch-ua", + "sec-ch-ua-mobile", + "sec-ch-ua-platform", + ): + value = str(account.get(key) or "").strip() + if value: + fp[key] = value + fp.setdefault( + "user-agent", + "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 " + "(KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36 Edg/143.0.0.0", + ) + fp.setdefault("impersonate", "edge101") + fp.setdefault("oai-device-id", new_uuid()) + fp.setdefault("oai-session-id", new_uuid()) + fp.setdefault("sec-ch-ua", '"Microsoft Edge";v="143", "Chromium";v="143", "Not A(Brand";v="24"') + fp.setdefault("sec-ch-ua-mobile", "?0") + fp.setdefault("sec-ch-ua-platform", '"Windows"') + return fp + + def _headers(self, path: str, extra: Optional[Dict[str, str]] = None) -> Dict[str, str]: + """构造请求头，并补上 web 端要求的 target path/route。""" + headers = dict(self.session.headers) + headers["X-OpenAI-Target-Path"] = path + headers["X-OpenAI-Target-Route"] = path + if extra: + headers.update(extra) + return headers + + @staticmethod + def _extract_quota_and_restore_at(limits_progress: list[Any]) -> tuple[int, str | None, bool]: + for item in limits_progress: + if isinstance(item, dict) and item.get("feature_name") == "image_gen": + return int(item.get("remaining") or 0), str(item.get("reset_after") or "") or None, False + return 0, None, True + + def _raise_on_error(self, response: Any, path: str) -> None: + if response.status_code == 401: + raise InvalidAccessTokenError(f"token invalidated ({path})") + raise RuntimeError(f"{path} failed: HTTP {response.status_code}") + + def _get_me(self) -> Dict[str, Any]: + path = "/backend-api/me" + response = self.session.get(self.base_url + path, headers=self._headers(path), timeout=20) + if response.status_code != 200: + self._raise_on_error(response, path) + return response.json() + + def _get_conversation_init(self) -> Dict[str, Any]: + path = "/backend-api/conversation/init" + response = self.session.post( + self.base_url + path, + headers=self._headers(path, {"Content-Type": "application/json"}), + json={ + "gizmo_id": None, + "requested_default_model": None, + "conversation_id": None, + "timezone_offset_min": -480, + }, + timeout=20, + ) + if response.status_code != 200: + self._raise_on_error(response, path) + return response.json() + + def _get_default_account(self) -> Dict[str, Any]: + path = "/backend-api/accounts/check/v4-2023-04-27" + response = self.session.get(self.base_url + path + "?timezone_offset_min=-480", headers=self._headers(path), + timeout=20) + if response.status_code != 200: + self._raise_on_error(response, path) + payload = response.json() + default_account = ((payload.get("accounts") or {}).get("default") or {}).get("account") or {} + logger.debug({ + "event": "backend_user_info_account_payload", + "plan_type": default_account.get("plan_type"), + "account_user_role": default_account.get("account_user_role"), + "account_id": default_account.get("account_id"), + "is_deactivated": default_account.get("is_deactivated"), + "has_active_subscription": (payload.get("accounts") or {}).get("default", {}).get("entitlement", {}).get("has_active_subscription"), + "subscription_plan": (payload.get("accounts") or {}).get("default", {}).get("entitlement", {}).get("subscription_plan"), + }) + return default_account + + def get_user_info(self) -> Dict[str, Any]: + """获取当前 token 的账号信息。""" + if not self.access_token: + raise RuntimeError("access_token is required") + executor = ThreadPoolExecutor(max_workers=3) + try: + me_future = executor.submit(self._get_me) + init_future = executor.submit(self._get_conversation_init) + account_future = executor.submit(self._get_default_account) + me_payload, init_payload, default_account = me_future.result(), init_future.result(), account_future.result() + except (KeyboardInterrupt, SystemExit): + executor.shutdown(wait=False, cancel_futures=True) + raise + except BaseException: + executor.shutdown(wait=False, cancel_futures=True) + raise + else: + executor.shutdown(wait=True, cancel_futures=True) + + plan_type = str(default_account.get("plan_type") or "free") + + limits_progress = init_payload.get("limits_progress") + limits_progress = limits_progress if isinstance(limits_progress, list) else [] + quota, restore_at, image_quota_unknown = self._extract_quota_and_restore_at(limits_progress) + result = { + "email": me_payload.get("email"), + "user_id": me_payload.get("id"), + "type": plan_type, + "quota": quota, + "image_quota_unknown": image_quota_unknown, + "limits_progress": limits_progress, + "default_model_slug": init_payload.get("default_model_slug"), + "restore_at": restore_at, + "status": "正常" if image_quota_unknown and plan_type.lower() != "free" else ("限流" if quota == 0 else "正常"), + } + logger.debug({ + "event": "backend_user_info_result", + "email": result.get("email"), + "user_id": result.get("user_id"), + "type": result.get("type"), + "quota": result.get("quota"), + "image_quota_unknown": result.get("image_quota_unknown"), + "default_model_slug": result.get("default_model_slug"), + "restore_at": result.get("restore_at"), + "status": result.get("status"), + }) + return result + + def _bootstrap_headers(self) -> Dict[str, str]: + """构造首页预热请求头。""" + return { + "User-Agent": self.user_agent, + "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8", + "Accept-Language": "zh-CN,zh;q=0.9,en;q=0.8", + "Sec-Ch-Ua": self.session.headers["Sec-Ch-Ua"], + "Sec-Ch-Ua-Mobile": self.session.headers["Sec-Ch-Ua-Mobile"], + "Sec-Ch-Ua-Platform": self.session.headers["Sec-Ch-Ua-Platform"], + "Sec-Fetch-Dest": "document", + "Sec-Fetch-Mode": "navigate", + "Sec-Fetch-Site": "none", + "Sec-Fetch-User": "?1", + "Upgrade-Insecure-Requests": "1", + } + + def _build_requirements(self, data: Dict[str, Any], source_p: str = "") -> ChatRequirements: + """把 sentinel 响应整理成后续对话需要的 token 集合。""" + if (data.get("arkose") or {}).get("required"): + raise RuntimeError("chat requirements requires arkose token, which is not implemented") + + proof_token = "" + proof_info = data.get("proofofwork") or {} + if proof_info.get("required"): + proof_token = build_proof_token( + proof_info.get("seed", ""), + proof_info.get("difficulty", ""), + self.user_agent, + script_sources=self.pow_script_sources, + data_build=self.pow_data_build, + ) + + turnstile_token = "" + turnstile_info = data.get("turnstile") or {} + if turnstile_info.get("required") and turnstile_info.get("dx"): + turnstile_token = solve_turnstile_token(turnstile_info["dx"], source_p) or "" + + return ChatRequirements( + token=data.get("token", ""), + proof_token=proof_token, + turnstile_token=turnstile_token, + so_token=data.get("so_token", ""), + raw_finalize=data, + ) + + def _conversation_headers(self, path: str, requirements: ChatRequirements) -> Dict[str, str]: + """根据当前 requirements 构造对话 SSE 请求头。""" + headers = { + "Accept": "text/event-stream", + "Content-Type": "application/json", + "OpenAI-Sentinel-Chat-Requirements-Token": requirements.token, + } + if requirements.proof_token: + headers["OpenAI-Sentinel-Proof-Token"] = requirements.proof_token + if requirements.turnstile_token: + headers["OpenAI-Sentinel-Turnstile-Token"] = requirements.turnstile_token + if requirements.so_token: + headers["OpenAI-Sentinel-SO-Token"] = requirements.so_token + return self._headers(path, headers) + + def _api_messages_to_conversation_messages(self, messages: list[Dict[str, Any]]) -> list[Dict[str, Any]]: + """把标准 chat messages 转成 web conversation 所需的 messages。""" + conversation_messages = [] + for item in messages: + role = item.get("role", "user") + content = item.get("content", "") + if isinstance(content, str): + conversation_messages.append({ + "id": new_uuid(), + "author": {"role": role}, + "content": {"content_type": "text", "parts": [content]}, + }) + continue + if not isinstance(content, list): + raise RuntimeError("only string or list message content is supported") + text_parts: list[str] = [] + image_inputs: list[tuple[bytes, str]] = [] + for part in content: + if not isinstance(part, dict): + continue + part_type = str(part.get("type") or "") + if part_type == "text": + text_parts.append(str(part.get("text") or "")) + elif part_type == "image": + data = part.get("data") + mime = str(part.get("mime") or "image/png") + if isinstance(data, (bytes, bytearray)): + image_inputs.append((bytes(data), mime)) + if not image_inputs: + conversation_messages.append({ + "id": new_uuid(), + "author": {"role": role}, + "content": {"content_type": "text", "parts": ["".join(text_parts)]}, + }) + continue + if not self.access_token: + raise RuntimeError("authenticated upstream account required for image input") + uploaded: list[Dict[str, Any]] = [] + for idx, (data, mime) in enumerate(image_inputs, start=1): + ext_part = mime.split("/", 1)[1].split("+")[0] if "/" in mime else "png" + extension = "jpg" if ext_part == "jpeg" else (ext_part or "png") + b64 = base64.b64encode(data).decode("ascii") + uploaded.append(self._upload_image(f"data:{mime};base64,{b64}", f"image_{idx}.{extension}")) + parts: list[Any] = [] + for ref in uploaded: + parts.append({ + "content_type": "image_asset_pointer", + "asset_pointer": f"file-service://{ref['file_id']}", + "width": ref["width"], + "height": ref["height"], + "size_bytes": ref["file_size"], + }) + text = "".join(text_parts) + if text: + parts.append(text) + conversation_messages.append({ + "id": new_uuid(), + "author": {"role": role}, + "content": {"content_type": "multimodal_text", "parts": parts}, + "metadata": { + "attachments": [{ + "id": ref["file_id"], + "mimeType": ref["mime_type"], + "name": ref["file_name"], + "size": ref["file_size"], + "width": ref["width"], + "height": ref["height"], + } for ref in uploaded], + }, + }) + return conversation_messages + + def _conversation_payload(self, messages: list[Dict[str, Any]], model: str, timezone: str) -> Dict[str, Any]: + """把标准 messages 构造成 web 对话请求体。""" + return { + "action": "next", + "messages": self._api_messages_to_conversation_messages(messages), + "model": model, + "parent_message_id": new_uuid(), + "conversation_mode": {"kind": "primary_assistant"}, + "conversation_origin": None, + "force_paragen": False, + "force_paragen_model_slug": "", + "force_rate_limit": False, + "force_use_sse": True, + "history_and_training_disabled": True, + "reset_rate_limits": False, + "suggestions": [], + "supported_encodings": [], + "system_hints": [], + "timezone": timezone, + "timezone_offset_min": -480, + "variant_purpose": "comparison_implicit", + "websocket_request_id": new_uuid(), + "client_contextual_info": { + "is_dark_mode": False, + "time_since_loaded": 120, + "page_height": 900, + "page_width": 1400, + "pixel_ratio": 2, + "screen_height": 1440, + "screen_width": 2560, + }, + } + + def _image_model_slug(self, model: str) -> str: + """把标准图片模型名映射到底层 model slug。""" + _, base_model = split_image_model(model) + if not base_model: + return "auto" + if base_model == "gpt-image-2": + return "gpt-5-3" + if base_model == CODEX_IMAGE_MODEL: + return base_model + return "auto" + + def _image_headers(self, path: str, requirements: ChatRequirements, conduit_token: str = "", accept: str = "*/*") -> \ + Dict[str, str]: + """构造图片链路请求头。""" + headers = { + "Content-Type": "application/json", + "Accept": accept, + "OpenAI-Sentinel-Chat-Requirements-Token": requirements.token, + } + if requirements.proof_token: + headers["OpenAI-Sentinel-Proof-Token"] = requirements.proof_token + if conduit_token: + headers["X-Conduit-Token"] = conduit_token + if accept == "text/event-stream": + headers["X-Oai-Turn-Trace-Id"] = new_uuid() + return self._headers(path, headers) + + def _codex_responses_headers(self) -> Dict[str, str]: + return { + "Authorization": f"Bearer {self.access_token}", + "Content-Type": "application/json", + } + + def _ensure_codex_source_account(self) -> None: + account = account_service.get_account(self.access_token) + source_type = str((account or {}).get("source_type") or "web").strip().lower() + if source_type != "codex": + raise RuntimeError("codex responses endpoint requires a codex source account") + + @staticmethod + def _codex_image_input(prompt: str, images: list[str]) -> list[Dict[str, Any]]: + content: list[Dict[str, Any]] = [{"type": "input_text", "text": prompt}] + for image in images: + payload = image if image.startswith("data:image/") else f"data:image/png;base64,{image}" + content.append({"type": "input_image", "image_url": payload}) + return [{"role": "user", "content": content}] + + @staticmethod + def _codex_body_preview(body: Any, limit: int = 4000) -> str: + if isinstance(body, (dict, list)): + try: + text = json.dumps(body, ensure_ascii=False) + except Exception: + text = repr(body) + else: + text = str(body or "") + return text if len(text) <= limit else text[:limit] + "...[truncated]" + + @staticmethod + def _codex_event_image_result_lengths(value: Any) -> list[int]: + if isinstance(value, dict): + lengths: list[int] = [] + if value.get("type") == "image_generation_call" and isinstance(value.get("result"), str): + lengths.append(len(value["result"])) + for item in value.values(): + lengths.extend(OpenAIBackendAPI._codex_event_image_result_lengths(item)) + return lengths + if isinstance(value, list): + lengths: list[int] = [] + for item in value: + lengths.extend(OpenAIBackendAPI._codex_event_image_result_lengths(item)) + return lengths + return [] + + @staticmethod + def _codex_event_summary(event: Dict[str, Any]) -> Dict[str, Any]: + summary: Dict[str, Any] = { + "type": str(event.get("type") or ""), + "keys": list(event.keys())[:30], + } + for key in ("id", "status", "sequence_number", "response_id", "item_id", "output_index", "content_index"): + value = event.get(key) + if isinstance(value, (str, int, float, bool)) or value is None: + summary[key] = value + for key in ("response", "item", "output"): + value = event.get(key) + if isinstance(value, dict): + summary[f"{key}_type"] = value.get("type") + summary[f"{key}_status"] = value.get("status") + summary[f"{key}_keys"] = list(value.keys())[:30] + elif isinstance(value, list): + summary[f"{key}_len"] = len(value) + summary[f"{key}_types"] = [ + item.get("type") for item in value[:10] if isinstance(item, dict) + ] + error = event.get("error") + if isinstance(error, dict): + summary["error"] = { + key: error.get(key) + for key in ("type", "code", "message") + if error.get(key) is not None + } + delta = event.get("delta") + if isinstance(delta, str): + summary["delta_len"] = len(delta) + summary["delta_preview"] = delta[:200] + result_lengths = OpenAIBackendAPI._codex_event_image_result_lengths(event) + if result_lengths: + summary["image_result_lengths"] = result_lengths[:10] + return summary + + def _log_codex_response_failure( + self, + path: str, + status_code: int, + headers: Any, + payload: Dict[str, Any], + body: Any, + ) -> None: + request_headers = self._codex_responses_headers() + safe_request_headers = { + key: value for key, value in request_headers.items() if key.lower() != "authorization" + } + response_headers = dict(headers.items()) if hasattr(headers, "items") else dict(headers or {}) + tool = ((payload.get("tools") or [{}])[0]) if isinstance(payload.get("tools"), list) else {} + logger.warning({ + "event": "codex_responses_http_error", + "path": path, + "status_code": status_code, + "request": { + "model": payload.get("model"), + "tool_model": tool.get("model"), + "tool_action": tool.get("action"), + "size": tool.get("size"), + "quality": tool.get("quality"), + "image_input_count": max(len((payload.get("input") or [{}])[0].get("content") or []) - 1, 0), + "prompt_preview": self._codex_body_preview( + (((payload.get("input") or [{}])[0].get("content") or [{}])[0].get("text") or ""), + 500, + ), + "headers": safe_request_headers, + }, + "response": { + "headers": response_headers, + "body_preview": self._codex_body_preview(body), + }, + }) + + @staticmethod + def _iter_codex_response_events(raw: Any) -> Iterator[Dict[str, Any]]: + content_type = str(raw.headers.get("content-type") or "").lower() + text = raw.read().decode("utf-8", "replace") + status_code = getattr(raw, "status", None) + parse_errors: list[str] = [] + events: list[Dict[str, Any]] = [] + if "application/json" in content_type: + try: + data = json.loads(text) + if isinstance(data, dict): + events.append(data) + except Exception as exc: + parse_errors.append(str(exc)) + else: + lines: list[str] = [] + for line in text.splitlines() + [""]: + if not line: + if lines: + payload_text = "\n".join(lines).strip() + if payload_text and payload_text != "[DONE]": + try: + data = json.loads(payload_text) + except Exception as exc: + parse_errors.append(str(exc)) + data = None + if isinstance(data, dict): + events.append(data) + lines = [] + elif line.startswith("data:"): + lines.append(line[5:].lstrip()) + + event_types: Dict[str, int] = {} + image_result_lengths: list[int] = [] + for event in events: + event_type = str(event.get("type") or "") + event_types[event_type] = event_types.get(event_type, 0) + 1 + image_result_lengths.extend(OpenAIBackendAPI._codex_event_image_result_lengths(event)) + logger.info({ + "event": "codex_responses_response_debug", + "status_code": status_code, + "content_type": content_type, + "response_text_len": len(text), + "event_count": len(events), + "event_types": event_types, + "image_result_lengths": image_result_lengths[:10], + "parse_error_count": len(parse_errors), + "parse_errors": parse_errors[:5], + "event_summaries": [OpenAIBackendAPI._codex_event_summary(event) for event in events[:30]], + "event_previews": [ + OpenAIBackendAPI._codex_body_preview(event, 1500) + for event in events[:10] + ] if not image_result_lengths else [], + "body_preview": text[:1000] if not events else "", + }) + for event in events: + yield event + + def iter_codex_image_response_events( + self, + prompt: str, + images: list[str] | None = None, + size: str | None = None, + quality: str = "auto", + ) -> Iterator[Dict[str, Any]]: + if not self.access_token: + raise RuntimeError("access_token is required for codex image endpoints") + self._ensure_codex_source_account() + path = "/backend-api/codex/responses" + payload = { + "model": CODEX_RESPONSES_MODEL, + "instructions": CODEX_RESPONSES_INSTRUCTIONS, + "store": False, + "input": self._codex_image_input(prompt, images or []), + "tools": [{ + "type": "image_generation", + "model": "gpt-image-2", + "action": "edit" if images else "generate", + "size": str(size or "1024x1024"), + "quality": str(quality or "auto"), + "output_format": "png", + }], + "tool_choice": {"type": "image_generation"}, + "stream": True, + } + request = urllib.request.Request( + self.base_url + path, + json.dumps(payload).encode(), + self._codex_responses_headers(), + method="POST", + ) + account = account_service.get_account(self.access_token) or {} + token_payload = account_service._decode_jwt_payload(self.access_token) + auth_claim = token_payload.get("https://api.openai.com/auth") + auth_claim = auth_claim if isinstance(auth_claim, dict) else {} + tool = payload["tools"][0] + logger.info({ + "event": "codex_responses_request_debug", + "url": self.base_url + path, + "transport": "urllib.request", + "timeout_secs": 1200, + "account_email": str(account.get("email") or "").strip(), + "source_type": str(account.get("source_type") or "").strip(), + "account_type": str(account.get("type") or "").strip(), + "token_claims": { + "jti": token_payload.get("jti"), + "iat": token_payload.get("iat"), + "exp": token_payload.get("exp"), + "client_id": token_payload.get("client_id"), + "chatgpt_account_id": auth_claim.get("chatgpt_account_id"), + "chatgpt_plan_type": auth_claim.get("chatgpt_plan_type"), + "localhost": auth_claim.get("localhost"), + }, + "request": { + "model": payload.get("model"), + "tool_model": tool.get("model"), + "tool_action": tool.get("action"), + "size": tool.get("size"), + "quality": tool.get("quality"), + "output_format": tool.get("output_format"), + "stream": payload.get("stream"), + "image_input_count": max(len((payload.get("input") or [{}])[0].get("content") or []) - 1, 0), + "prompt_preview": self._codex_body_preview( + (((payload.get("input") or [{}])[0].get("content") or [{}])[0].get("text") or ""), + 500, + ), + }, + "headers": { + key: value for key, value in self._codex_responses_headers().items() + if key.lower() != "authorization" + }, + }) + try: + with urllib.request.urlopen(request, timeout=1200) as raw: + yield from self._iter_codex_response_events(raw) + except urllib.error.HTTPError as error: + body_text = error.read().decode("utf-8", "replace") + body: Any = body_text + try: + body = json.loads(body_text) + except Exception: + pass + self._log_codex_response_failure(path, error.code, error.headers, payload, body) + retry_after_header = error.headers.get("Retry-After") if error.headers else None + retry_after = int(retry_after_header) if str(retry_after_header or "").isdigit() else None + raise UpstreamHTTPError(path, error.code, body, retry_after=retry_after) from error + + def _prepare_image_conversation(self, prompt: str, requirements: ChatRequirements, model: str) -> str: + """为图片生成准备 conduit token。""" + path = "/backend-api/f/conversation/prepare" + payload = { + "action": "next", + "fork_from_shared_post": False, + "parent_message_id": new_uuid(), + "model": self._image_model_slug(model), + "client_prepare_state": "success", + "timezone_offset_min": -480, + "timezone": "Asia/Shanghai", + "conversation_mode": {"kind": "primary_assistant"}, + "system_hints": ["picture_v2"], + "partial_query": { + "id": new_uuid(), + "author": {"role": "user"}, + "content": {"content_type": "text", "parts": [prompt]}, + }, + "supports_buffering": True, + "supported_encodings": ["v1"], + "client_contextual_info": {"app_name": "chatgpt.com"}, + } + response = self.session.post( + self.base_url + path, + headers=self._image_headers(path, requirements), + json=payload, + timeout=60, + ) + ensure_ok(response, path) + return response.json().get("conduit_token", "") + + def _decode_image_base64(self, image: str) -> bytes: + """把 base64 图片字符串或本地路径解码成二进制。""" + if ( + image + and len(image) < 512 + and not image.startswith("data:") + and "\n" not in image + and "\r" not in image + ): + file_path = Path(os.path.expanduser(image)) + if file_path.exists() and file_path.is_file(): + return file_path.read_bytes() + payload = image.split(",", 1)[1] if image.startswith("data:") and "," in image else image + return base64.b64decode(payload) + + def _upload_image(self, image: str, file_name: str = "image.png") -> Dict[str, Any]: + """上传一张 base64 图片，返回底层文件元数据。""" + data = self._decode_image_base64(image) + if ( + image + and len(image) < 512 + and not image.startswith("data:") + and "\n" not in image + and "\r" not in image + ): + candidate_path = Path(os.path.expanduser(image)) + if candidate_path.exists() and candidate_path.is_file(): + file_name = candidate_path.name + image = Image.open(BytesIO(data)) + width, height = image.size + mime_type = Image.MIME.get(image.format, "image/png") + path = "/backend-api/files" + response = self.session.post( + self.base_url + path, + headers=self._headers(path, {"Content-Type": "application/json", "Accept": "application/json"}), + json={"file_name": file_name, "file_size": len(data), "use_case": "multimodal", "width": width, + "height": height}, + timeout=60, + ) + ensure_ok(response, path) + upload_meta = response.json() + response = self.session.put( + upload_meta["upload_url"], + headers={ + "Content-Type": mime_type, + "x-ms-blob-type": "BlockBlob", + "x-ms-version": "2020-04-08", + "Origin": self.base_url, + "Referer": self.base_url + "/", + "User-Agent": self.user_agent, + "Accept": "application/json, text/plain, */*", + "Accept-Language": "en-US,en;q=0.8", + }, + data=data, + timeout=120, + ) + ensure_ok(response, "image_upload") + path = f"/backend-api/files/{upload_meta['file_id']}/uploaded" + response = self.session.post( + self.base_url + path, + headers=self._headers(path, {"Content-Type": "application/json", "Accept": "application/json"}), + data="{}", + timeout=60, + ) + ensure_ok(response, path) + return { + "file_id": upload_meta["file_id"], + "file_name": file_name, + "file_size": len(data), + "mime_type": mime_type, + "width": width, + "height": height, + } + + def _start_image_generation(self, prompt: str, requirements: ChatRequirements, conduit_token: str, model: str, + references: Optional[list[Dict[str, Any]]] = None) -> requests.Response: + """启动图片生成或编辑的 SSE 请求。""" + references = references or [] + parts = [{ + "content_type": "image_asset_pointer", + "asset_pointer": f"file-service://{item['file_id']}", + "width": item["width"], + "height": item["height"], + "size_bytes": item["file_size"], + } for item in references] + parts.append(prompt) + content = {"content_type": "multimodal_text", "parts": parts} if references else {"content_type": "text", + "parts": [prompt]} + metadata = { + "developer_mode_connector_ids": [], + "selected_github_repos": [], + "selected_all_github_repos": False, + "system_hints": ["picture_v2"], + "serialization_metadata": {"custom_symbol_offsets": []}, + } + if references: + metadata["attachments"] = [{ + "id": item["file_id"], + "mimeType": item["mime_type"], + "name": item["file_name"], + "size": item["file_size"], + "width": item["width"], + "height": item["height"], + } for item in references] + payload = { + "action": "next", + "messages": [{ + "id": new_uuid(), + "author": {"role": "user"}, + "create_time": time.time(), + "content": content, + "metadata": metadata, + }], + "parent_message_id": new_uuid(), + "model": self._image_model_slug(model), + "client_prepare_state": "sent", + "timezone_offset_min": -480, + "timezone": "Asia/Shanghai", + "conversation_mode": {"kind": "primary_assistant"}, + "enable_message_followups": True, + "system_hints": ["picture_v2"], + "supports_buffering": True, + "supported_encodings": ["v1"], + "client_contextual_info": { + "is_dark_mode": False, + "time_since_loaded": 1200, + "page_height": 1072, + "page_width": 1724, + "pixel_ratio": 1.2, + "screen_height": 1440, + "screen_width": 2560, + "app_name": "chatgpt.com", + }, + "paragen_cot_summary_display_override": "allow", + "force_parallel_switch": "auto", + } + path = "/backend-api/f/conversation" + response = self.session.post( + self.base_url + path, + headers=self._image_headers(path, requirements, conduit_token, "text/event-stream"), + json=payload, + timeout=300, + stream=True, + ) + ensure_ok(response, path) + return response + + def _get_conversation(self, conversation_id: str) -> Dict[str, Any]: + """获取完整 conversation 详情。""" + path = f"/backend-api/conversation/{conversation_id}" + response = self.session.get(self.base_url + path, headers=self._headers(path, {"Accept": "application/json"}), + timeout=60) + ensure_ok(response, path) + return response.json() + + def _list_recent_conversations(self, limit: int = 5, timeout_secs: float = 10.0) -> list[Dict[str, Any]]: + """列出最近的对话列表，按更新时间倒序。 + + 当 SSE 流太短导致 conversation_id 丢失时，可以通过此方法 + 查找最近创建的对话来恢复 conversation_id。 + """ + path = f"/backend-api/conversations?offset=0&limit={limit}&order=updated&conversation_filter=all" + try: + response = self.session.get( + self.base_url + path, + headers=self._headers(path, {"Accept": "application/json"}), + timeout=timeout_secs, + ) + ensure_ok(response, path) + data = response.json() + return data.get("items") or data.get("conversations") or [] + except Exception as exc: + logger.debug({"event": "list_conversations_failed", "error": str(exc)}) + return [] + + def find_conversation_by_prompt(self, prompt: str, started_at: float, timeout_secs: float = 10.0) -> str: + """根据 prompt 和开始时间，从最近对话列表中查找匹配的 conversation_id。 + + 当 SSE 流太短导致 conversation_id 丢失时，使用此方法恢复。 + 通过对比 prompt 关键词和时间戳来匹配最可能的对话。 + + 参数： + prompt: 用户输入的 prompt 文本 + started_at: 请求开始的时间戳（epoch seconds） + timeout_secs: 请求超时秒数 + + 返回： + 匹配的 conversation_id，如果未找到返回空字符串 + """ + items = self._list_recent_conversations(limit=10, timeout_secs=timeout_secs) + if not items: + return "" + # 筛选在 started_at 之前或附近创建的对话（最多往前 5 分钟） + # ChatGPT 的 updated_at 通常晚于实际请求时间 + prompt_lower = str(prompt or "").lower().strip() + best_match = "" + best_score = 0.0 + for item in items: + # item 可能是完整的 conversation 对象或摘要 + conv_id = str(item.get("id") or item.get("conversation_id") or "") + if not conv_id: + continue + # 检查时间范围：对话的 updated_at 应该在请求开始时间之后（或附近） + updated_at = float(item.get("update_time") or item.get("updated_at") or 0) + if updated_at and started_at and (updated_at < started_at - 30 or updated_at > started_at + 600): + continue + # 匹配 prompt 关键词 + title = str(item.get("title") or "").lower() + # 计算匹配分数 + score = 0.0 + if prompt_lower and title: + # 简单的关键词匹配 + prompt_words = set(prompt_lower.split()) + title_words = set(title.split()) + common = prompt_words & title_words + if common: + score = len(common) / max(len(prompt_words), 1) + # 图生图通常标题为 "Image" 开头 + if title.startswith("image"): + score += 0.3 + if score > best_score: + best_score = score + best_match = conv_id + if best_match and best_score > 0.1: + logger.info({ + "event": "conversation_prompt_match_found", + "conversation_id": best_match, + "match_score": round(best_score, 2), + }) + return best_match + # 如果没有标题匹配，返回最新的对话（时间最近的） + for item in items: + conv_id = str(item.get("id") or item.get("conversation_id") or "") + updated_at = float(item.get("update_time") or item.get("updated_at") or 0) + if conv_id and updated_at and started_at and updated_at >= started_at - 30: + logger.info({ + "event": "conversation_latest_match", + "conversation_id": conv_id, + "updated_at": updated_at, + }) + return conv_id + return "" + + @staticmethod + def _editable_prompt(fixed_prompt: str, user_prompt_text: str) -> str: + extra = str(user_prompt_text or "").strip() + return fixed_prompt if not extra else fixed_prompt + "\n\n以下是用户补充需求，请直接结合执行：\n" + extra + + def export_ppt_zip( + self, + base64_images: list[str] | None, + prompt: str, + output_dir: str | Path = EDITABLE_FILE_PPT_OUTPUT_DIR, + timeout_secs: float = EDITABLE_FILE_TIMEOUT_SECS, + poll_interval_secs: float = EDITABLE_FILE_POLL_INTERVAL_SECS, + ) -> EditableFileExportResult: + return self._export_editable_file_zip( + base64_images or [], + self._editable_prompt(EDITABLE_FILE_PPT_PROMPT, prompt), + output_dir, + primary_label="ppt", + primary_suffixes=(".ppt", ".pptx"), + primary_mime_types=EDITABLE_PPT_MIME_TYPES, + primary_mime_keywords=("presentationml.presentation", "ms-powerpoint"), + primary_default_extension=".pptx", + export_file_re=EDITABLE_PPT_EXPORT_FILE_RE, + timeout_secs=timeout_secs, + poll_interval_secs=poll_interval_secs, + ) + + def export_psd_zip( + self, + base64_images: list[str], + prompt: str, + output_dir: str | Path = EDITABLE_FILE_PSD_OUTPUT_DIR, + timeout_secs: float = EDITABLE_FILE_TIMEOUT_SECS, + poll_interval_secs: float = EDITABLE_FILE_POLL_INTERVAL_SECS, + ) -> EditableFileExportResult: + if not base64_images: + raise ValueError("base64_images is empty") + return self._export_editable_file_zip( + base64_images, + self._editable_prompt(EDITABLE_FILE_PSD_PROMPT, prompt), + output_dir, + primary_label="psd", + primary_suffixes=(".psd",), + primary_mime_types=EDITABLE_PSD_MIME_TYPES, + primary_mime_keywords=("photoshop",), + primary_default_extension=".psd", + export_file_re=EDITABLE_PSD_EXPORT_FILE_RE, + timeout_secs=timeout_secs, + poll_interval_secs=poll_interval_secs, + ) + + def _export_editable_file_zip( + self, + base64_images: list[str], + prompt: str, + output_dir: str | Path, + *, + primary_label: str, + primary_suffixes: tuple[str, ...], + primary_mime_types: set[str], + primary_mime_keywords: tuple[str, ...], + primary_default_extension: str, + export_file_re: re.Pattern[str], + timeout_secs: float, + poll_interval_secs: float, + ) -> EditableFileExportResult: + if not self.access_token: + raise RuntimeError("access_token is required for editable file export") + self.client_version = EDITABLE_FILE_CLIENT_VERSION + self.client_build_number = EDITABLE_FILE_CLIENT_BUILD_NUMBER + self.session.headers["OAI-Client-Version"] = EDITABLE_FILE_CLIENT_VERSION + self.session.headers["OAI-Client-Build-Number"] = EDITABLE_FILE_CLIENT_BUILD_NUMBER + output_path = Path(output_dir).expanduser().resolve() + output_path.mkdir(parents=True, exist_ok=True) + uploaded = [self._upload_editable_base64_image(item, index) for index, item in enumerate(base64_images, start=1)] + conduit_token = self._prepare_editable_conversation(prompt, [item["mime_type"] for item in uploaded]) + conversation_id = self._run_editable_conversation(prompt, uploaded, conduit_token) + artifacts = self._wait_editable_output_artifacts( + conversation_id, + primary_label, + primary_suffixes, + primary_mime_types, + primary_mime_keywords, + export_file_re, + timeout_secs, + poll_interval_secs, + ) + downloaded = [self._download_editable_artifact( + conversation_id, + item, + output_path, + primary_mime_types, + primary_mime_keywords, + primary_default_extension, + ) for item in artifacts] + primary_path = next((item for item in downloaded if item.suffix.lower() in primary_suffixes), None) + zip_path = next((item for item in downloaded if item.suffix.lower() == ".zip"), None) + if not primary_path or not zip_path: + raise RuntimeError(f"download finished but did not get both {primary_label} and zip files: {downloaded}") + return EditableFileExportResult(conversation_id=conversation_id, primary_path=primary_path, zip_path=zip_path) + + def _upload_editable_base64_image(self, base64_image: str, index: int) -> Dict[str, Any]: + data, file_name, mime_type, width, height = self._decode_editable_base64_image(base64_image, index) + path = "/backend-api/files" + response = self.session.post( + self.base_url + path, + headers=self._headers(path, {"Accept": "*/*", "Content-Type": "application/json"}), + json={ + "file_name": file_name, + "file_size": len(data), + "use_case": "multimodal", + "timezone_offset_min": -480, + "reset_rate_limits": False, + "store_in_library": True, + "library_persistence_mode": "opportunistic", + }, + timeout=60, + ) + ensure_ok(response, path) + payload = response.json() + upload_url = str(payload.get("upload_url") or "") + file_id = str(payload.get("file_id") or "") + if not upload_url or not file_id: + raise RuntimeError(f"invalid upload response: {payload}") + response = self.session.put( + upload_url, + headers={ + "Content-Type": mime_type, + "x-ms-blob-type": "BlockBlob", + "x-ms-version": "2020-04-08", + "Origin": self.base_url, + "Referer": self.base_url + "/", + "User-Agent": self.user_agent, + "Accept": "application/json, text/plain, */*", + "Accept-Language": "en-US,en;q=0.8", + }, + data=data, + timeout=120, + ) + ensure_ok(response, "image_upload") + path = f"/backend-api/files/{file_id}/uploaded" + response = self.session.post( + self.base_url + path, + headers=self._headers(path, {"Accept": "*/*", "Content-Type": "application/json"}), + data="{}", + timeout=60, + ) + ensure_ok(response, path) + return { + "file_id": file_id, + "library_file_id": str(payload.get("library_file_id") or ""), + "file_name": file_name, + "file_size": len(data), + "mime_type": mime_type, + "width": width, + "height": height, + } + + def _decode_editable_base64_image(self, base64_image: str, index: int) -> tuple[bytes, str, str, int, int]: + raw = str(base64_image or "").strip() + if not raw: + raise ValueError("base64 image is empty") + mime_type = "" + payload = raw + match = re.match(r"^data:([^;]+);base64,(.*)$", raw, re.IGNORECASE | re.DOTALL) + if match: + mime_type = str(match.group(1) or "").strip().lower() + payload = str(match.group(2) or "").strip() + data = base64.b64decode(payload) + image = Image.open(BytesIO(data)) + image.load() + width, height = image.size + mime_type = Image.MIME.get(image.format, mime_type or "image/png") + extension = mimetypes.guess_extension(mime_type) or ".png" + return data, f"image_{index}{extension}", mime_type, width, height + + def _prepare_editable_conversation(self, prompt: str, attachment_mime_types: list[str]) -> str: + path = "/backend-api/f/conversation/prepare" + payload: Dict[str, Any] = { + "action": "next", + "fork_from_shared_post": False, + "parent_message_id": "client-created-root", + "model": EDITABLE_FILE_MODEL, + "client_prepare_state": "success", + "timezone_offset_min": -480, + "timezone": "Asia/Shanghai", + "conversation_mode": {"kind": "primary_assistant"}, + "system_hints": [], + "partial_query": {"id": new_uuid(), "author": {"role": "user"}, "content": {"content_type": "text", "parts": [prompt]}}, + "supports_buffering": True, + "supported_encodings": ["v1"], + "client_contextual_info": {"app_name": "chatgpt.com"}, + "thinking_effort": EDITABLE_FILE_THINKING_EFFORT, + } + if attachment_mime_types: + payload["attachment_mime_types"] = attachment_mime_types + response = self.session.post( + self.base_url + path, + headers=self._headers(path, {"Accept": "*/*", "Content-Type": "application/json", "X-Conduit-Token": "no-token"}), + json=payload, + timeout=60, + ) + ensure_ok(response, path) + conduit_token = str(response.json().get("conduit_token") or "") + if not conduit_token: + raise RuntimeError(f"missing conduit_token: {response.text}") + return conduit_token + + def _run_editable_conversation(self, prompt: str, uploaded: list[Dict[str, Any]], conduit_token: str) -> str: + self._bootstrap() + requirements = self._get_chat_requirements() + message: Dict[str, Any] = {"id": new_uuid(), "author": {"role": "user"}, "create_time": time.time()} + if uploaded: + parts = [{ + "content_type": "image_asset_pointer", + "asset_pointer": f"sediment://{item['file_id']}", + "size_bytes": item["file_size"], + "width": item["width"], + "height": item["height"], + } for item in uploaded] + parts.append(prompt) + message["content"] = {"content_type": "multimodal_text", "parts": parts} + message["metadata"] = { + "attachments": [{ + "id": item["file_id"], + "size": item["file_size"], + "name": item["file_name"], + "mime_type": item["mime_type"], + "width": item["width"], + "height": item["height"], + "source": "library", + "library_file_id": item["library_file_id"], + "is_big_paste": False, + } for item in uploaded], + "developer_mode_connector_ids": [], + "selected_sources": [], + "selected_github_repos": [], + "selected_all_github_repos": False, + "serialization_metadata": {"custom_symbol_offsets": []}, + } + else: + message["content"] = {"content_type": "text", "parts": [prompt]} + path = "/backend-api/f/conversation" + response = self.session.post( + self.base_url + path, + headers=self._image_headers(path, requirements, conduit_token, "text/event-stream"), + json={ + "action": "next", + "messages": [message], + "parent_message_id": "client-created-root", + "model": EDITABLE_FILE_MODEL, + "client_prepare_state": "sent", + "timezone_offset_min": -480, + "timezone": "Asia/Shanghai", + "conversation_mode": {"kind": "primary_assistant"}, + "enable_message_followups": True, + "system_hints": [], + "supports_buffering": True, + "supported_encodings": ["v1"], + "client_contextual_info": { + "is_dark_mode": False, + "time_since_loaded": 401, + "page_height": 1138, + "page_width": 803, + "pixel_ratio": 2, + "screen_height": 1440, + "screen_width": 2560, + "app_name": "chatgpt.com", + }, + "paragen_cot_summary_display_override": "allow", + "force_parallel_switch": "auto", + "thinking_effort": EDITABLE_FILE_THINKING_EFFORT, + }, + timeout=300, + stream=True, + ) + ensure_ok(response, path) + conversation_id = "" + try: + for payload in iter_sse_payloads(response): + if payload == "[DONE]": + break + conversation_id = conversation_id or self._find_editable_value(payload, "conversation_id") + finally: + response.close() + if not conversation_id: + raise RuntimeError("conversation_id not found in stream") + return conversation_id + + def _wait_editable_output_artifacts( + self, + conversation_id: str, + primary_label: str, + primary_suffixes: tuple[str, ...], + primary_mime_types: set[str], + primary_mime_keywords: tuple[str, ...], + export_file_re: re.Pattern[str], + timeout_secs: float, + poll_interval_secs: float, + ) -> list[EditableFileArtifact]: + deadline = time.time() + timeout_secs + while time.time() < deadline: + try: + conversation = self._get_editable_conversation_detail(conversation_id) + except UpstreamHTTPError as exc: + if exc.status_code in {404, 409, 423, 429, 500, 502, 503, 504}: + time.sleep(poll_interval_secs) + continue + raise + targeted = self._pick_editable_target_artifacts( + self._extract_editable_artifacts(conversation, export_file_re), + primary_suffixes, + primary_mime_types, + primary_mime_keywords, + ) + if targeted: + return targeted + time.sleep(poll_interval_secs) + raise RuntimeError(f"timed out waiting for {primary_label}/zip outputs") + + def _get_editable_conversation_detail(self, conversation_id: str) -> Dict[str, Any]: + path = f"/backend-api/conversation/{conversation_id}" + response = self.session.get(self.base_url + path, headers=self._editable_conversation_document_headers(path, conversation_id), timeout=60) + ensure_ok(response, path) + return response.json() + + def _editable_browser_headers(self, path: str, conversation_id: str) -> Dict[str, str]: + headers = self._headers(path, {"Accept": "*/*"}) + headers["Referer"] = f"{self.base_url}/c/{conversation_id}" + return headers + + def _editable_conversation_document_headers(self, path: str, conversation_id: str) -> Dict[str, str]: + headers = self._editable_browser_headers(path, conversation_id) + headers["X-OpenAI-Target-Route"] = "/backend-api/conversation/{conversation_id}" + return headers + + def _extract_editable_artifacts(self, conversation: Dict[str, Any], export_file_re: re.Pattern[str]) -> list[EditableFileArtifact]: + artifacts: dict[str, EditableFileArtifact] = {} + for node in sorted((conversation.get("mapping") or {}).values(), key=lambda item: float(((item or {}).get("message") or {}).get("create_time") or 0.0)): + message = (node or {}).get("message") or {} + message_id = str(message.get("id") or "") + author_role = str(((message.get("author") or {}).get("role") or "")).strip() + if author_role not in {"assistant", "tool"}: + continue + create_time = float(message.get("create_time") or 0.0) + message_text = self._editable_message_text(message) + for artifact in self._extract_editable_message_artifacts(message, message_id, author_role, create_time, export_file_re): + key = artifact.attachment_id or artifact.file_id or artifact.name or artifact.sandbox_path + if key: + artifacts[key] = self._merge_editable_artifact(artifacts.get(key), artifact) + for export_path in self._extract_editable_export_paths(message_text, export_file_re): + inferred = EditableFileArtifact(name=Path(export_path).name, create_time=create_time, author_role=author_role, sandbox_path=export_path, message_id=message_id) + artifacts[export_path] = self._merge_editable_artifact(artifacts.get(export_path), inferred) + return sorted(artifacts.values(), key=lambda item: item.create_time) + + def _extract_editable_message_artifacts( + self, + message: Dict[str, Any], + message_id: str, + author_role: str, + create_time: float, + export_file_re: re.Pattern[str], + ) -> list[EditableFileArtifact]: + artifacts: list[EditableFileArtifact] = [] + for item in (message.get("metadata") or {}).get("attachments") or []: + artifact = self._editable_artifact_from_dict(item, message_id, author_role, create_time, export_file_re) + if artifact: + artifacts.append(artifact) + for obj in self._walk_search_dicts(message): + artifact = self._editable_artifact_from_dict(obj, message_id, author_role, create_time, export_file_re) + if artifact: + artifacts.append(artifact) + return artifacts + + def _editable_artifact_from_dict( + self, + payload: Dict[str, Any], + message_id: str, + author_role: str, + create_time: float, + export_file_re: re.Pattern[str], + ) -> EditableFileArtifact | None: + if not ({"id", "file_id", "asset_pointer", "name", "file_name", "filename", "mime_type", "mimeType"} & set(payload.keys())): + return None + attachment_id = self._match_editable_file_id(str(payload.get("id") or "")) + file_id = self._match_editable_file_id(str(payload.get("file_id") or "")) + name = self._sanitize_editable_filename(str(payload.get("name") or payload.get("file_name") or payload.get("filename") or payload.get("title") or "").strip()) + mime_type = self._clean_editable_mime_type(payload.get("mime_type") or payload.get("mimeType") or "") + for asset_id in EDITABLE_ASSET_POINTER_RE.findall(str(payload.get("asset_pointer") or "")): + attachment_id = attachment_id or asset_id + file_id = file_id or asset_id + if not attachment_id or not file_id: + ids = self._extract_editable_file_ids(json.dumps(payload, ensure_ascii=False)) + attachment_id = attachment_id or (ids[0] if ids else "") + file_id = file_id or (ids[0] if ids else "") + if not attachment_id and not file_id: + return None + return EditableFileArtifact( + attachment_id=attachment_id, + file_id=file_id, + name=name, + mime_type=mime_type, + create_time=create_time, + author_role=author_role, + sandbox_path=(self._extract_editable_export_paths(payload, export_file_re) or [""])[0], + message_id=message_id, + ) + + def _pick_editable_target_artifacts( + self, + artifacts: list[EditableFileArtifact], + primary_suffixes: tuple[str, ...], + primary_mime_types: set[str], + primary_mime_keywords: tuple[str, ...], + ) -> list[EditableFileArtifact]: + primary = next((item for item in reversed(artifacts) if self._looks_like_editable_primary(item, primary_suffixes, primary_mime_types, primary_mime_keywords)), None) + zip_item = next((item for item in reversed(artifacts) if self._looks_like_editable_zip(item)), None) + return [primary, zip_item] if primary and zip_item else [] + + def _download_editable_artifact( + self, + conversation_id: str, + artifact: EditableFileArtifact, + output_dir: Path, + primary_mime_types: set[str], + primary_mime_keywords: tuple[str, ...], + primary_default_extension: str, + ) -> Path: + download_url = self._resolve_editable_download_url(conversation_id, artifact) + if not download_url: + raise RuntimeError(f"download url not found for artifact: {artifact}") + response = self.session.get(download_url, timeout=300) + ensure_ok(response, "artifact_download") + content_type = self._clean_editable_mime_type(response.headers.get("Content-Type") or artifact.mime_type) + file_name = self._resolve_editable_output_name(artifact, response.url, response.headers.get("Content-Disposition"), content_type, primary_mime_types, primary_mime_keywords, primary_default_extension) + target_path = self._unique_editable_path(output_dir / file_name) + target_path.write_bytes(response.content) + return target_path + + def _resolve_editable_download_url(self, conversation_id: str, artifact: EditableFileArtifact) -> str: + ids: list[str] = [] + for item in (artifact.attachment_id, artifact.file_id): + if item and item not in ids: + ids.append(item) + if artifact.sandbox_path and artifact.message_id: + path = f"/backend-api/conversation/{conversation_id}/interpreter/download" + response = self.session.get( + self.base_url + path, + headers=self._editable_download_headers(path, conversation_id, "/backend-api/conversation/{conversation_id}/interpreter/download"), + params={"message_id": artifact.message_id, "sandbox_path": artifact.sandbox_path}, + timeout=60, + ) + if 200 <= response.status_code < 300: + url = self._download_url_from_response(response) + if url: + return url + for attachment_id in ids: + path = f"/backend-api/conversation/{conversation_id}/attachment/{attachment_id}/download" + response = self.session.get( + self.base_url + path, + headers=self._editable_download_headers(path, conversation_id, "/backend-api/conversation/{conversation_id}/attachment/{attachment_id}/download"), + timeout=60, + ) + if 200 <= response.status_code < 300: + url = self._download_url_from_response(response) + if url: + return url + for file_id in ids: + path = f"/backend-api/files/download/{file_id}" + response = self.session.get( + self.base_url + path, + headers=self._editable_download_headers(path, conversation_id, "/backend-api/files/download/{file_id}"), + params={"post_id": "", "inline": "false"}, + timeout=60, + ) + if 200 <= response.status_code < 300: + url = self._download_url_from_response(response) + if url: + return url + for file_id in ids: + path = f"/backend-api/files/{file_id}/download" + response = self.session.get( + self.base_url + path, + headers=self._editable_download_headers(path, conversation_id, "/backend-api/files/download/{file_id}"), + timeout=60, + ) + if 200 <= response.status_code < 300: + url = self._download_url_from_response(response) + if url: + return url + return "" + + def _editable_download_headers(self, path: str, conversation_id: str, route: str) -> Dict[str, str]: + headers = self._editable_browser_headers(path, conversation_id) + headers["X-OpenAI-Target-Route"] = route + return headers + + @staticmethod + def _download_url_from_response(response: Any) -> str: + try: + payload = response.json() + except Exception: + payload = {} + return str(payload.get("download_url") or payload.get("url") or "") + + def _resolve_editable_output_name( + self, + artifact: EditableFileArtifact, + final_url: str, + content_disposition: str | None, + content_type: str, + primary_mime_types: set[str], + primary_mime_keywords: tuple[str, ...], + primary_default_extension: str, + ) -> str: + file_name = self._sanitize_editable_filename(artifact.name) + if not file_name and artifact.sandbox_path: + file_name = self._sanitize_editable_filename(Path(artifact.sandbox_path).name) + if not file_name: + file_name = self._sanitize_editable_filename(self._editable_filename_from_content_disposition(content_disposition or "")) + if not file_name: + file_name = self._sanitize_editable_filename(Path(urlparse(final_url).path).name) + extension = self._editable_extension_from_mime_type(content_type, primary_mime_types, primary_mime_keywords, primary_default_extension) + return f"artifact{extension}" if not file_name else (file_name if Path(file_name).suffix else file_name + extension) + + def _find_editable_value(self, payload: Any, key: str) -> str: + if isinstance(payload, str): + match = SEARCH_CONVERSATION_ID_RE.search(payload) if key == "conversation_id" else None + if match: + return match.group(1) + try: + payload = json.loads(payload) + except json.JSONDecodeError: + return "" + if isinstance(payload, dict): + value = payload.get(key) + if isinstance(value, str) and value: + return value + return next((found for item in payload.values() if (found := self._find_editable_value(item, key))), "") + if isinstance(payload, list): + return next((found for item in payload if (found := self._find_editable_value(item, key))), "") + return "" + + def _extract_editable_file_ids(self, text: str) -> list[str]: + values: list[str] = [] + for item in EDITABLE_ASSET_POINTER_RE.findall(text): + if item not in values: + values.append(item) + for item in FILE_ID_RE.findall(text): + if item not in values: + values.append(item) + return values + + @staticmethod + def _match_editable_file_id(value: str) -> str: + match = FILE_ID_RE.search(value) + return match.group(1) if match else "" + + @staticmethod + def _clean_editable_mime_type(value: Any) -> str: + text = str(value or "").strip().lower() + return text.split(";", 1)[0] if "/" in text else "" + + def _looks_like_editable_primary( + self, + artifact: EditableFileArtifact, + primary_suffixes: tuple[str, ...], + primary_mime_types: set[str], + primary_mime_keywords: tuple[str, ...], + ) -> bool: + path, name, mime = artifact.sandbox_path.lower(), artifact.name.lower(), artifact.mime_type + return name.endswith(primary_suffixes) or path.endswith(primary_suffixes) or mime in primary_mime_types or any(keyword in mime for keyword in primary_mime_keywords) + + @staticmethod + def _looks_like_editable_zip(artifact: EditableFileArtifact) -> bool: + path, name, mime = artifact.sandbox_path.lower(), artifact.name.lower(), artifact.mime_type + return name.endswith(".zip") or path.endswith(".zip") or mime in EDITABLE_ZIP_MIME_TYPES or mime.endswith("/zip") + + @staticmethod + def _editable_extension_from_mime_type( + mime_type: str, + primary_mime_types: set[str], + primary_mime_keywords: tuple[str, ...], + primary_default_extension: str, + ) -> str: + if mime_type in primary_mime_types or any(keyword in mime_type for keyword in primary_mime_keywords): + return primary_default_extension + if mime_type in EDITABLE_ZIP_MIME_TYPES or mime_type.endswith("/zip"): + return ".zip" + return mimetypes.guess_extension(mime_type) or "" + + @staticmethod + def _editable_filename_from_content_disposition(content_disposition: str) -> str: + extended_match = re.search(r"filename\*=UTF-8''([^;]+)", content_disposition, re.IGNORECASE) + if extended_match: + return unquote(extended_match.group(1)).strip() + plain_match = re.search(r'filename="([^"]+)"', content_disposition, re.IGNORECASE) + return plain_match.group(1).strip() if plain_match else "" + + @staticmethod + def _sanitize_editable_filename(value: str) -> str: + return Path(str(value or "").strip()).name.replace("\x00", "").strip() + + @staticmethod + def _unique_editable_path(path: Path) -> Path: + if not path.exists(): + return path + for index in range(1, 1000): + candidate = path.with_name(f"{path.stem}_{index}{path.suffix}") + if not candidate.exists(): + return candidate + raise RuntimeError(f"failed to allocate output path for {path}") + + @staticmethod + def _merge_editable_artifact(current: EditableFileArtifact | None, latest: EditableFileArtifact) -> EditableFileArtifact: + if current is None: + return latest + return EditableFileArtifact( + attachment_id=latest.attachment_id or current.attachment_id, + file_id=latest.file_id or current.file_id, + name=latest.name or current.name, + mime_type=latest.mime_type or current.mime_type, + create_time=max(current.create_time, latest.create_time), + author_role=latest.author_role or current.author_role, + sandbox_path=latest.sandbox_path or current.sandbox_path, + message_id=latest.message_id or current.message_id, + ) + + @staticmethod + def _editable_message_text(message: Any) -> str: + if not isinstance(message, dict): + return "" + content = message.get("content") or {} + parts: list[str] = [] + if isinstance(content, dict): + if isinstance(content.get("text"), str): + parts.append(content["text"]) + for part in content.get("parts") or []: + if isinstance(part, str): + parts.append(part) + elif isinstance(part, dict): + parts.extend(str(part.get(key) or "") for key in ("text", "asset_pointer", "model_set_context") if part.get(key)) + if isinstance(message.get("content"), str): + parts.append(str(message["content"])) + return "\n".join(part for part in parts if part).strip() + + @staticmethod + def _extract_editable_export_paths(payload: Any, export_file_re: re.Pattern[str]) -> list[str]: + if isinstance(payload, str): + text = payload + else: + try: + text = json.dumps(payload, ensure_ascii=False) + except Exception: + text = str(payload) + values: list[str] = [] + for item in export_file_re.findall(text): + path = str(item or "").strip() + if path and path not in values: + values.append(path) + return values + + def search(self, prompt: str, model: str = SEARCH_MODEL, timeout_secs: float = SEARCH_TIMEOUT_SECS, + poll_interval_secs: float = SEARCH_POLL_INTERVAL_SECS) -> Dict[str, Any]: + if not self.access_token: + raise RuntimeError("access_token is required for search") + conduit_token = self._prepare_search_conversation(prompt, model) + self._bootstrap() + conversation_id = self._run_search_conversation(prompt, conduit_token, model) + return self._wait_search_result(conversation_id, timeout_secs, poll_interval_secs) + + def _prepare_search_conversation(self, prompt: str, model: str) -> str: + path = "/backend-api/f/conversation/prepare" + response = self.session.post( + self.base_url + path, + headers=self._headers(path, {"Accept": "*/*", "Content-Type": "application/json", "X-Conduit-Token": "no-token"}), + json={ + "action": "next", + "fork_from_shared_post": False, + "parent_message_id": "client-created-root", + "model": model, + "client_prepare_state": "success", + "timezone_offset_min": -480, + "timezone": "Asia/Shanghai", + "conversation_mode": {"kind": "primary_assistant"}, + "system_hints": ["search"], + "partial_query": {"id": new_uuid(), "author": {"role": "user"}, "content": {"content_type": "text", "parts": [prompt]}}, + "supports_buffering": True, + "supported_encodings": ["v1"], + "client_contextual_info": {"app_name": "chatgpt.com"}, + }, + timeout=60, + ) + ensure_ok(response, path) + token = str(response.json().get("conduit_token") or "") + if not token: + raise RuntimeError("missing conduit_token") + return token + + def _run_search_conversation(self, prompt: str, conduit_token: str, model: str) -> str: + requirements = self._get_chat_requirements() + path = "/backend-api/f/conversation" + response = self.session.post( + self.base_url + path, + headers=self._image_headers(path, requirements, conduit_token, "text/event-stream"), + json={ + "action": "next", + "messages": [{ + "id": new_uuid(), + "author": {"role": "user"}, + "create_time": time.time(), + "content": {"content_type": "text", "parts": [prompt]}, + "metadata": { + "developer_mode_connector_ids": [], + "selected_github_repos": [], + "selected_all_github_repos": False, + "system_hints": ["search"], + "serialization_metadata": {"custom_symbol_offsets": []}, + }, + }], + "parent_message_id": "client-created-root", + "model": model, + "client_prepare_state": "success", + "timezone_offset_min": -480, + "timezone": "Asia/Shanghai", + "conversation_mode": {"kind": "primary_assistant"}, + "enable_message_followups": True, + "system_hints": [], + "supports_buffering": True, + "supported_encodings": ["v1"], + "force_use_search": True, + "client_reported_search_source": "conversation_composer_web_icon", + "client_contextual_info": {"is_dark_mode": False, "time_since_loaded": 36, "page_height": 925, "page_width": 886, "pixel_ratio": 2, "screen_height": 1440, "screen_width": 2560, "app_name": "chatgpt.com"}, + "paragen_cot_summary_display_override": "allow", + "force_parallel_switch": "auto", + }, + timeout=300, + stream=True, + ) + ensure_ok(response, path) + conversation_id = "" + try: + for payload in iter_sse_payloads(response): + conversation_id = conversation_id or self._find_search_value(payload, "conversation_id") + if payload == "[DONE]": + break + finally: + response.close() + if not conversation_id: + raise RuntimeError("conversation_id not found in stream") + return conversation_id + + def _wait_search_result(self, conversation_id: str, timeout_secs: float, poll_interval_secs: float) -> Dict[str, Any]: + deadline = time.time() + timeout_secs + last_result: Dict[str, Any] | None = None + last_answer = "" + stable_hits = 0 + while time.time() < deadline: + try: + last_result = self._extract_search_result(conversation_id, self._get_search_conversation(conversation_id)) + except UpstreamHTTPError as exc: + if exc.status_code not in {404, 409, 423, 429, 500, 502, 503, 504}: + raise + if last_result and last_result.get("answer"): + if last_result.get("status") in SEARCH_DONE_STATUS: + return last_result + answer = str(last_result.get("answer") or "") + stable_hits = stable_hits + 1 if answer == last_answer else 0 + last_answer = answer + if stable_hits >= 2: + return last_result + time.sleep(poll_interval_secs) + if last_result: + return last_result + raise RuntimeError(f"timed out waiting for search result: {conversation_id}") + + def _get_search_conversation(self, conversation_id: str) -> Dict[str, Any]: + path = f"/backend-api/conversation/{conversation_id}" + headers = self._headers(path, {"Accept": "*/*"}) + headers["Referer"] = f"{self.base_url}/c/{conversation_id}" + headers["X-OpenAI-Target-Route"] = "/backend-api/conversation/{conversation_id}" + response = self.session.get(self.base_url + path, headers=headers, timeout=60) + ensure_ok(response, path) + return response.json() + + def _extract_search_result(self, conversation_id: str, conversation: Dict[str, Any]) -> Dict[str, Any]: + messages = [] + for node in (conversation.get("mapping") or {}).values(): + message = (node or {}).get("message") or {} + if ((message.get("author") or {}).get("role") or "") == "assistant": + messages.append(message) + message = max(messages, key=lambda item: float(item.get("create_time") or 0.0)) if messages else {} + metadata = message.get("metadata") if isinstance(message.get("metadata"), dict) else {} + finish_details = metadata.get("finish_details") if isinstance(metadata.get("finish_details"), dict) else {} + answer = self._search_message_text(message) + sources = self._extract_search_sources(message) + for url in SEARCH_URL_RE.findall(answer): + url = self._clean_search_url(url) + if url and all(item["url"] != url for item in sources): + sources.append({"title": "", "url": url, "snippet": "", "source_type": ""}) + return { + "conversation_id": conversation_id, + "status": str(finish_details.get("type") or metadata.get("status") or self._find_search_value(message, "status") or "").strip(), + "answer": answer, + "sources": sources, + "assistant_message_id": str(message.get("id") or ""), + "create_time": float(message.get("create_time") or 0.0), + } + + def _extract_search_sources(self, payload: Any) -> list[Dict[str, str]]: + sources: list[Dict[str, str]] = [] + for obj in self._walk_search_dicts(payload): + metadata = obj.get("metadata") if isinstance(obj.get("metadata"), dict) else {} + url = self._clean_search_url(obj.get("url") or obj.get("link") or obj.get("source_url") or metadata.get("url")) + if url and all(item["url"] != url for item in sources): + sources.append({ + "title": str(obj.get("title") or obj.get("name") or obj.get("source") or "").strip(), + "url": url, + "snippet": str(obj.get("snippet") or obj.get("text") or obj.get("description") or "").strip(), + "source_type": str(obj.get("type") or obj.get("source_type") or "").strip(), + }) + return sources + + def _search_message_text(self, message: Any) -> str: + content = message.get("content") if isinstance(message, dict) else {} + parts = [] + if isinstance(content, dict): + if isinstance(content.get("text"), str): + parts.append(content["text"]) + for part in content.get("parts") or []: + if isinstance(part, str): + parts.append(part) + elif isinstance(part, dict): + parts.extend(str(part.get(key) or "") for key in ("text", "summary", "content") if part.get(key)) + elif isinstance(content, str): + parts.append(content) + return "\n".join(part.strip() for part in parts if str(part).strip()).strip() + + def _find_search_value(self, payload: Any, key: str) -> str: + if isinstance(payload, str): + match = SEARCH_CONVERSATION_ID_RE.search(payload) if key == "conversation_id" else None + if match: + return match.group(1) + try: + payload = json.loads(payload) + except json.JSONDecodeError: + return "" + if isinstance(payload, dict): + value = payload.get(key) + if isinstance(value, str) and value: + return value + return next((found for item in payload.values() if (found := self._find_search_value(item, key))), "") + if isinstance(payload, list): + return next((found for item in payload if (found := self._find_search_value(item, key))), "") + return "" + + def _walk_search_dicts(self, payload: Any) -> list[Dict[str, Any]]: + if isinstance(payload, dict): + return [payload, *(item for value in payload.values() for item in self._walk_search_dicts(value))] + if isinstance(payload, list): + return [item for value in payload for item in self._walk_search_dicts(value)] + return [] + + def _clean_search_url(self, value: Any) -> str: + return str(value or "").strip().rstrip(".,;，。；") + + @staticmethod + def _add_unique(values: list[str], candidates: list[str]) -> None: + for candidate in candidates: + if candidate and candidate not in values: + values.append(candidate) + + @classmethod + def _extract_image_reference_ids(cls, payload: Any) -> tuple[list[str], list[str]]: + file_ids: list[str] = [] + sediment_ids: list[str] = [] + + def walk(value: Any) -> None: + if isinstance(value, str): + # 只提取真正的图片文件 ID（file_00000000... 格式）和 file-service:// URI + cls._add_unique(file_ids, FILE_SERVICE_ID_RE.findall(value)) + cls._add_unique(file_ids, REAL_IMAGE_FILE_ID_RE.findall(value)) + cls._add_unique(sediment_ids, SEDIMENT_ID_RE.findall(value)) + return + if isinstance(value, dict): + for item in value.values(): + walk(item) + return + if isinstance(value, list): + for item in value: + walk(item) + + walk(payload) + return file_ids, sediment_ids + + @classmethod + def _has_image_asset_pointer(cls, payload: Any) -> bool: + if isinstance(payload, dict): + if str(payload.get("content_type") or "") == "image_asset_pointer": + return True + asset_pointer = str(payload.get("asset_pointer") or "") + if asset_pointer.startswith(("file-service://", "sediment://")): + return True + return any(cls._has_image_asset_pointer(item) for item in payload.values()) + if isinstance(payload, list): + return any(cls._has_image_asset_pointer(item) for item in payload) + return False + + def _extract_image_tool_records(self, data: Dict[str, Any]) -> list[Dict[str, Any]]: + """从 conversation 明细里提取图片工具输出记录。""" + mapping = data.get("mapping") or {} + records = [] + for message_id, node in mapping.items(): + message = (node or {}).get("message") or {} + author = message.get("author") or {} + metadata = message.get("metadata") or {} + content = message.get("content") or {} + role = str(author.get("role") or "").strip().lower() + if role not in {"tool", "assistant"}: + continue + is_image_gen = metadata.get("async_task_type") == "image_gen" + has_asset_pointer = self._has_image_asset_pointer(content) or self._has_image_asset_pointer(metadata) + if role == "assistant" and not (is_image_gen or has_asset_pointer): + continue + file_ids, sediment_ids = self._extract_image_reference_ids({"content": content, "metadata": metadata}) + if not is_image_gen and not has_asset_pointer and not file_ids and not sediment_ids: + continue + records.append( + {"message_id": message_id, "create_time": message.get("create_time") or 0, "file_ids": file_ids, + "sediment_ids": sediment_ids}) + return sorted(records, key=lambda item: item["create_time"]) + + @staticmethod + def _find_content_policy_error_in_conversation(data: Dict[str, Any]) -> str: + """从对话文档中查找内容政策违规错误消息。 + + 上游拒绝生成图片时，错误消息会出现在 assistant 消息的文本中。 + 本方法遍历所有 assistant/tool 消息，检查是否包含内容政策违规关键词， + 如果匹配则返回该消息文本（截断至 500 字符），否则返回空字符串。 + """ + mapping = data.get("mapping") or {} + for node in mapping.values(): + message = (node or {}).get("message") or {} + author = message.get("author") or {} + role = str(author.get("role") or "").strip().lower() + if role not in {"assistant", "tool"}: + continue + content = message.get("content") or {} + # 提取消息文本 + text_parts: list[str] = [] + if isinstance(content, dict): + msg_parts = content.get("parts") or [] + if isinstance(msg_parts, list): + for part in msg_parts: + if isinstance(part, str) and part.strip(): + text_parts.append(part.strip()) + text_field = str(content.get("text") or "") + if text_field.strip(): + text_parts.append(text_field.strip()) + elif isinstance(content, str) and content.strip(): + text_parts.append(content.strip()) + msg_text = "\n".join(text_parts) + if msg_text and _is_content_policy_error(msg_text): + return msg_text[:500] + return "" + + def _poll_image_results( + self, + conversation_id: str, + timeout_secs: float = 120.0, + initial_file_ids: list[str] | None = None, + initial_sediment_ids: list[str] | None = None, + ) -> tuple[list[str], list[str]]: + """Poll the conversation document until image file ids appear or budget runs out. + + - Sleeps image_poll_initial_wait_secs first (default 10s, +jitter). ChatGPT + image generation takes ~30s; polling immediately wastes requests and trips + a transient 429 the upstream returns within ~200ms of the SSE stream + closing (the conversation document is not yet committed). + - Subsequent polls are image_poll_interval_secs apart (default 10s). + - On upstream 429 / 5xx or network errors, backs off exponentially + (capped at 16s, +jitter) honoring Retry-After when present. + - All sleeps stay within timeout_secs; on exhaustion raises ImagePollTimeoutError. + """ + start = time.time() + attempt = 0 + interval = float(config.image_poll_interval_secs) + initial_wait = float(config.image_poll_initial_wait_secs) + file_ids: list[str] = [] + sediment_ids: list[str] = [] + self._add_unique(file_ids, initial_file_ids or []) + self._add_unique(sediment_ids, initial_sediment_ids or []) + has_initial_ids = bool(file_ids or sediment_ids) + last_hit_key: tuple[tuple[str, ...], tuple[str, ...]] | None = ( + (tuple(file_ids), tuple(sediment_ids)) if has_initial_ids else None + ) + logger.info({ + "event": "image_poll_start", + "conversation_id": conversation_id, + "timeout_secs": timeout_secs, + "initial_wait_secs": initial_wait, + "interval_secs": interval, + "initial_file_ids": file_ids, + "initial_sediment_ids": sediment_ids, + }) + + def _remaining() -> float: + return timeout_secs - (time.time() - start) + + if has_initial_ids and config.image_settle_enabled: + settle_for = min(config.image_settle_secs, max(0.0, _remaining())) + if settle_for > 0: + time.sleep(settle_for) + elif initial_wait > 0: + jitter = random.uniform(0, min(2.0, initial_wait * 0.2)) + sleep_for = min(initial_wait + jitter, max(0.0, _remaining())) + if sleep_for > 0: + time.sleep(sleep_for) + + def _retry_sleep(reason: str, status_code: int | None, error: str | None, retry_after: int | None) -> bool: + # retry_after=0 means "retry immediately" — must not be coerced via falsy check. + base = retry_after if retry_after is not None else min(2 ** min(attempt, 4), 16) + backoff = base + random.uniform(0, 0.5) + remaining = _remaining() + if remaining <= 0: + return False + sleep_for = min(backoff, remaining) + log_payload: Dict[str, Any] = { + "event": "image_poll_retry", + "conversation_id": conversation_id, + "attempt": attempt, + "reason": reason, + "sleep_secs": round(sleep_for, 2), + } + if status_code is not None: + log_payload["status_code"] = status_code + if error is not None: + log_payload["error"] = error + logger.warning(log_payload) + time.sleep(sleep_for) + return True + + last_task_error = "" + while _remaining() > 0: + attempt += 1 + # 在每次轮询时，检查 /backend-api/tasks/ 是否有错误（仅记录，不中断） + # 内容政策违规检测通过对话文本进行（在 _find_content_policy_error_in_conversation 中） + last_task_error = "" + try: + tasks = self._query_backend_tasks(conversation_id=conversation_id, timeout_secs=5.0) + for task in tasks: + is_error, error_msg, metadata = self.check_task_error(task) + if is_error and error_msg: + last_task_error = error_msg + logger.info({ + "event": "image_poll_task_error_not_blocking", + "conversation_id": conversation_id, + "attempt": attempt, + "error_msg": error_msg, + "metadata": metadata, + }) + except Exception as exc: + # tasks 查询失败不影响正常轮询流程 + logger.debug({ + "event": "image_poll_task_check_failed", + "conversation_id": conversation_id, + "attempt": attempt, + "error": str(exc), + }) + + try: + conversation = self._get_conversation(conversation_id) + except UpstreamHTTPError as exc: + if exc.status_code in (429, 500, 502, 503, 504): + if _retry_sleep("upstream_status", exc.status_code, None, exc.retry_after): + continue + break + raise + except requests.exceptions.RequestException as exc: + if _retry_sleep("network", None, str(exc), None): + continue + break + + for record in self._extract_image_tool_records(conversation): + for file_id in record["file_ids"]: + if file_id not in file_ids: + file_ids.append(file_id) + for sediment_id in record["sediment_ids"]: + if sediment_id not in sediment_ids: + sediment_ids.append(sediment_id) + + # 检查对话文本中是否包含内容政策违规错误 + # 当上游拒绝生成图片时，错误消息会出现在对话文档的 assistant 消息中， + # 而非 /backend-api/tasks/ 的 task error 结构中。 + # 如果在没有找到图片文件 ID 的同时检测到内容政策违规，立即中断轮询。 + if not file_ids and not sediment_ids: + policy_msg = self._find_content_policy_error_in_conversation(conversation) + if policy_msg: + logger.warning({ + "event": "image_poll_conversation_text_policy_violation", + "conversation_id": conversation_id, + "attempt": attempt, + "error_msg": policy_msg[:200], + }) + raise ImageContentPolicyError(policy_msg) + + logger.debug({"event": "image_poll_check", "conversation_id": conversation_id, "attempt": attempt, + "file_ids": file_ids, "sediment_ids": sediment_ids}) + if file_ids or sediment_ids: + if not config.image_check_before_hit_enabled: + # 先check再hit 机制关闭：直接返回首次发现的 file_ids + logger.info({"event": "image_poll_hit_no_settle", "conversation_id": conversation_id, + "file_ids": file_ids, "sediment_ids": sediment_ids}) + return file_ids, sediment_ids + hit_key = (tuple(file_ids), tuple(sediment_ids)) + if last_hit_key == hit_key: + logger.info({"event": "image_poll_hit", "conversation_id": conversation_id, "file_ids": file_ids, + "sediment_ids": sediment_ids}) + return file_ids, sediment_ids + last_hit_key = hit_key + if not config.image_settle_enabled: + # 二次确认机制关闭：直接返回首次发现的 file_ids + logger.info({"event": "image_poll_hit_settle_disabled", "conversation_id": conversation_id, + "file_ids": file_ids, "sediment_ids": sediment_ids}) + return file_ids, sediment_ids + logger.info({"event": "image_poll_hit_pending_settle", "conversation_id": conversation_id, + "file_ids": file_ids, "sediment_ids": sediment_ids, + "settle_secs": config.image_settle_secs}) + wait = min(config.image_settle_secs, max(0.0, _remaining())) + if wait > 0: + time.sleep(wait) + continue + return file_ids, sediment_ids + logger.debug({"event": "image_poll_wait", "conversation_id": conversation_id, + "elapsed_secs": round(time.time() - start, 1)}) + wait = min(interval, max(0.0, _remaining())) + if wait > 0: + time.sleep(wait) + logger.info({ + "event": "image_poll_timeout", + "conversation_id": conversation_id, + "timeout_secs": timeout_secs, + "attempts_made": attempt, + # attempts_made == 0 means the initial_wait consumed the entire budget — no HTTP attempted. + "initial_wait_exhausted_budget": attempt == 0, + "last_task_error": last_task_error if last_task_error else None, + }) + exc = ImagePollTimeoutError( + f"ChatGPT 生图超时（已等待 {timeout_secs} 秒）。" + f"当前超时阈值可在 config.json 中调大 image_poll_timeout_secs，" + f"也可能是账号被限流或生图队列拥堵导致。" + ) + if last_task_error: + setattr(exc, "task_error", last_task_error) + setattr(exc, "conversation_id", conversation_id or "") + raise exc + + def _get_file_download_url(self, file_id: str) -> str: + """获取文件下载地址。""" + path = f"/backend-api/files/{file_id}/download" + response = self.session.get(self.base_url + path, headers=self._headers(path, {"Accept": "application/json"}), + timeout=60) + ensure_ok(response, path) + data = response.json() + return data.get("download_url") or data.get("url") or "" + + def _get_attachment_download_url(self, conversation_id: str, attachment_id: str) -> str: + """通过 conversation 附件接口获取下载地址。""" + path = f"/backend-api/conversation/{conversation_id}/attachment/{attachment_id}/download" + response = self.session.get(self.base_url + path, headers=self._headers(path, {"Accept": "application/json"}), + timeout=60) + ensure_ok(response, path) + data = response.json() + return data.get("download_url") or data.get("url") or "" + + def _query_backend_tasks( + self, + conversation_id: str = "", + task_id: str = "", + timeout_secs: float = 30.0, + ) -> list[Dict[str, Any]]: + """查询 /backend-api/tasks/ 接口获取异步任务状态和错误信息。 + + 参数： + - `conversation_id`：可选。按 conversation_id 过滤任务。 + - `task_id`：可选。按 task_id 过滤任务。 + - `timeout_secs`：请求超时秒数。 + + 返回： + - 任务列表，每个任务包含 image_gen_message 等字段。 + """ + path = "/backend-api/tasks" + response = self.session.get( + self.base_url + path, + headers=self._headers(path, {"Accept": "application/json"}), + timeout=timeout_secs, + ) + ensure_ok(response, path) + data = response.json() + tasks = data.get("tasks", []) + if not isinstance(tasks, list): + return [] + + # 按 conversation_id 或 task_id 过滤 + if conversation_id: + tasks = [ + t for t in tasks + if isinstance(t, dict) and ( + t.get("conversation_id") == conversation_id + or t.get("original_conversation_id") == conversation_id + ) + ] + if task_id: + tasks = [t for t in tasks if isinstance(t, dict) and t.get("task_id") == task_id] + return tasks + + def check_task_error(self, task: Dict[str, Any]) -> tuple[bool, str, Dict[str, Any]]: + """检查单个任务是否包含结构化错误。 + + 通过以下字段判断（不依赖文本匹配）： + - image_gen_message.metadata.is_error == True + - image_gen_message.author.role == "assistant" (而非 "tool") + - image_gen_message.content.content_type == "text" (而非 "multimodal_text") + + 返回： + - (is_error, error_msg, metadata) + """ + img_msg = task.get("image_gen_message") or {} + if not img_msg: + return False, "", {} + + metadata = img_msg.get("metadata") or {} + content = img_msg.get("content") or {} + author = img_msg.get("author") or {} + + is_error = metadata.get("is_error", False) + is_text_only = content.get("content_type") == "text" + is_assistant_role = author.get("role") == "assistant" + + # 提取错误文本 + error_msg = "" + if is_error and is_text_only: + parts = content.get("parts", []) + error_msg = "".join(p for p in parts if isinstance(p, str)) + + return is_error, error_msg, metadata + + def _resolve_image_urls(self, conversation_id: str, file_ids: list[str], sediment_ids: list[str]) -> list[str]: + """把图片结果 id 解析成可下载 URL。""" + urls = [] + skip_patterns = {"file_upload"} + for file_id in file_ids: + if file_id in skip_patterns: + logger.debug({ + "event": "image_file_id_skipped", + "source": "file", + "conversation_id": conversation_id, + "id": file_id, + }) + continue + try: + url = self._get_file_download_url(file_id) + except Exception as exc: + logger.debug({ + "event": "image_download_url_failed", + "source": "file", + "conversation_id": conversation_id, + "id": file_id, + "error": repr(exc), + }) + continue + if url: + if url not in urls: + urls.append(url) + else: + logger.debug({ + "event": "image_download_url_empty", + "source": "file", + "conversation_id": conversation_id, + "id": file_id, + }) + if not conversation_id or not sediment_ids: + logger.debug({ + "event": "image_urls_resolved", + "conversation_id": conversation_id, + "file_ids": file_ids, + "sediment_ids": sediment_ids, + "urls": urls, + }) + return urls + for sediment_id in sediment_ids: + try: + url = self._get_attachment_download_url(conversation_id, sediment_id) + except Exception as exc: + logger.debug({ + "event": "image_download_url_failed", + "source": "sediment", + "conversation_id": conversation_id, + "id": sediment_id, + "error": repr(exc), + }) + continue + if url: + if url not in urls: + urls.append(url) + else: + logger.debug({ + "event": "image_download_url_empty", + "source": "sediment", + "conversation_id": conversation_id, + "id": sediment_id, + }) + logger.debug({ + "event": "image_urls_resolved", + "conversation_id": conversation_id, + "file_ids": file_ids, + "sediment_ids": sediment_ids, + "urls": urls, + }) + return urls + + def resolve_conversation_image_urls( + self, + conversation_id: str, + file_ids: list[str], + sediment_ids: list[str], + poll: bool = True, + poll_timeout_secs: float | None = None, + ) -> list[str]: + file_ids = [item for item in file_ids if item != "file_upload"] + sediment_ids = list(sediment_ids) + timeout = poll_timeout_secs if poll_timeout_secs is not None else config.image_poll_timeout_secs + # 当 check-before-hit 和 settle 均已关闭，且 SSE 已给出 file_ids 时， + # 跳过轮询直接解析 URL，省去 initial_wait + 轮询耗时。 + if poll and conversation_id and (file_ids or sediment_ids): + if not config.image_check_before_hit_enabled and not config.image_settle_enabled: + logger.info({ + "event": "image_resolve_skip_poll_direct_resolve", + "conversation_id": conversation_id, + "file_ids": file_ids, + "sediment_ids": sediment_ids, + }) + return self._resolve_image_urls(conversation_id, file_ids, sediment_ids) + if poll and conversation_id: + logger.info({ + "event": "image_resolve_poll_needed", + "conversation_id": conversation_id, + "initial_file_ids": file_ids, + "initial_sediment_ids": sediment_ids, + "poll_timeout_secs": timeout, + }) + try: + polled_file_ids, polled_sediment_ids = self._poll_image_results( + conversation_id, + timeout, + file_ids, + sediment_ids, + ) + except ImagePollTimeoutError as exc: + # 如果轮询超时且有 task error（如 moderation 拦截），抛出 ImageContentPolicyError + # 而非 ImagePollTimeoutError，让调用方能区分真正的超时和上游拒绝 + task_error = getattr(exc, "task_error", "") + if not file_ids and not sediment_ids: + if task_error: + raise ImageContentPolicyError(task_error) from exc + raise + logger.warning({ + "event": "image_resolve_poll_partial_timeout", + "conversation_id": conversation_id, + "file_ids": file_ids, + "sediment_ids": sediment_ids, + }) + except Exception as exc: + if not file_ids and not sediment_ids: + raise + logger.warning({ + "event": "image_resolve_poll_partial_error", + "conversation_id": conversation_id, + "file_ids": file_ids, + "sediment_ids": sediment_ids, + "error": repr(exc), + }) + else: + file_ids.extend(item for item in polled_file_ids if item and item not in file_ids) + sediment_ids.extend(item for item in polled_sediment_ids if item and item not in sediment_ids) + return self._resolve_image_urls(conversation_id, file_ids, sediment_ids) + + def download_image_bytes(self, urls: list[str]) -> list[bytes]: + images = [] + for url in urls: + response = self.session.get(url, timeout=120) + ensure_ok(response, "image_download") + if response.content not in images: + images.append(response.content) + return images + + def stream_conversation( + self, + messages: Optional[list[Dict[str, Any]]] = None, + model: str = "auto", + prompt: str = "", + images: Optional[list[str]] = None, + system_hints: Optional[list[str]] = None, + ) -> Iterator[str]: + system_hints = system_hints or [] + if "picture_v2" in system_hints: + yield from self._stream_picture_conversation(prompt, model, images or []) + return + + normalized = messages or [{"role": "user", "content": prompt}] + self._bootstrap() + requirements = self._get_chat_requirements() + path, timezone = self._chat_target() + payload = self._conversation_payload(normalized, model, timezone) + response = self.session.post( + self.base_url + path, + headers=self._conversation_headers(path, requirements), + json=payload, + timeout=300, + stream=True, + ) + ensure_ok(response, path) + try: + yield from iter_sse_payloads(response) + finally: + response.close() + + def _report_progress(self, step: str) -> None: + """Report progress step to the callback if set.""" + if self.progress_callback: + try: + self.progress_callback(step) + except Exception: + pass + + def _stream_picture_conversation( + self, + prompt: str, + model: str, + images: list[str], + ) -> Iterator[str]: + if not self.access_token: + raise RuntimeError("access_token is required for image endpoints") + self._report_progress("uploading") + references = [self._upload_image(image, f"image_{idx}.png") for idx, image in enumerate(images, start=1)] + self._report_progress("bootstrapping") + self._bootstrap() + self._report_progress("getting_token") + requirements = self._get_chat_requirements() + self._report_progress("preparing_conversation") + conduit_token = self._prepare_image_conversation(prompt, requirements, model) + self._report_progress("starting_generation") + response = self._start_image_generation(prompt, requirements, conduit_token, model, references) + self._report_progress("generating") + try: + yield from iter_sse_payloads(response) + finally: + response.close() + + def _bootstrap(self) -> None: + """预热首页，并提取 PoW 相关脚本引用。""" + response = self.session.get( + self.base_url + "/", + headers=self._bootstrap_headers(), + timeout=30, + ) + ensure_ok(response, "bootstrap") + self.pow_script_sources, self.pow_data_build = parse_pow_resources(response.text) + if not self.pow_script_sources: + self.pow_script_sources = [DEFAULT_POW_SCRIPT] + + def _get_chat_requirements(self) -> ChatRequirements: + """获取当前模式对话所需的 sentinel token。""" + path = "/backend-api/sentinel/chat-requirements" if self.access_token else "/backend-anon/sentinel/chat-requirements" + context = "auth_chat_requirements" if self.access_token else "noauth_chat_requirements" + body = {"p": build_legacy_requirements_token(self.user_agent, self.pow_script_sources, self.pow_data_build)} + response = self.session.post( + self.base_url + path, + headers=self._headers(path, {"Content-Type": "application/json"}), + json=body, + timeout=30, + ) + ensure_ok(response, context) + requirements = self._build_requirements(response.json(), "" if self.access_token else body["p"]) + if not requirements.token: + message = "missing auth chat requirements token" if self.access_token else "missing chat requirements token" + raise RuntimeError(f"{message}: {requirements.raw_finalize}") + return requirements + + def _chat_target(self) -> tuple[str, str]: + if self.access_token: + return "/backend-api/conversation", "Asia/Shanghai" + return "/backend-anon/conversation", "America/Los_Angeles" + + def list_models(self) -> Dict[str, Any]: + """返回当前模式下可用模型，格式对齐 OpenAI `/v1/models`。""" + self._bootstrap() + path = "/backend-api/models?history_and_training_disabled=false" if self.access_token else ( + "/backend-anon/models?iim=false&is_gizmo=false" + ) + route = "/backend-api/models" if self.access_token else "/backend-anon/models" + context = "auth_models" if self.access_token else "anon_models" + response = self.session.get( + self.base_url + path, + headers=self._headers(route), + timeout=30, + ) + ensure_ok(response, context) + data = [] + seen = set() + for item in response.json().get("models", []): + if not isinstance(item, dict): + continue + slug = str(item.get("slug", "")).strip() + if not slug or slug in seen: + continue + seen.add(slug) + data.append({ + "id": slug, + "object": "model", + "created": int(item.get("created") or 0), + "owned_by": str(item.get("owned_by") or "chatgpt"), + "permission": [], + "root": slug, + "parent": None, + }) + data.sort(key=lambda item: item["id"]) + return {"object": "list", "data": data} diff --git a/services/protocol/__init__.py b/services/protocol/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..1b57d842a9b9267064a65e9216aa3a073beef0b6 --- /dev/null +++ b/services/protocol/__init__.py @@ -0,0 +1,2 @@ +"""Protocol converters for OpenAI-compatible endpoints.""" + diff --git a/services/protocol/anthropic_v1_messages.py b/services/protocol/anthropic_v1_messages.py new file mode 100644 index 0000000000000000000000000000000000000000..a5113b0575eccb446d00b119067a90e271db67b5 --- /dev/null +++ b/services/protocol/anthropic_v1_messages.py @@ -0,0 +1,306 @@ +from __future__ import annotations + +import html +import json +import re +import time +import uuid +from collections.abc import Callable, Iterable, Iterator +from dataclasses import dataclass +from typing import Any + +from services.account_service import account_service +from services.openai_backend_api import OpenAIBackendAPI +from services.protocol.conversation import count_message_tokens, count_text_tokens, normalize_messages +from services.protocol.openai_v1_chat_complete import collect_chat_content, stream_text_chat_completion + +XML_TOOL_RULE = """Tool output adapter: when calling tools, output ONLY this XML and no prose/markdown: +TOOL_NAME""" + + +@dataclass +class MessageRequest: + backend: OpenAIBackendAPI + messages: list[dict[str, Any]] + model: str + tools: Any = None + + +def _tool_meta(tool: dict[str, object]) -> tuple[str, str, object]: + fn = tool.get("function") if isinstance(tool.get("function"), dict) else {} + name = str(tool.get("name") or fn.get("name") or "").strip() + desc = str(tool.get("description") or fn.get("description") or "").strip() + schema = tool.get("input_schema") or tool.get("parameters") or fn.get("input_schema") or fn.get("parameters") or {} + return name, desc, schema + + +def build_tool_prompt(tools: object) -> str: + if not isinstance(tools, list): + return "" + blocks = [] + for tool in tools: + if not isinstance(tool, dict): + continue + name, desc, schema = _tool_meta(tool) + if name: + blocks.append(f"Tool: {name}\nDescription: {desc}\nParameters: {json.dumps(schema, ensure_ascii=False)}") + if not blocks: + return "" + return "Available tools:\n" + "\n".join(blocks) + """ + +Tool use rules: +- If the user asks to list/read/search files, inspect project state, run a command, or answer from local code, you MUST call a suitable tool first. Do not say you cannot access files. +- To call tools, output ONLY XML and no prose/markdown: +TOOL_NAME +- Put parameters under using the exact schema names. +""".strip() + + +def merge_system(system: object, extra: str) -> object: + system = compact_system(system) + if _has_claude_code_system(system): + extra = XML_TOOL_RULE + if not extra: + return system + if isinstance(system, str) and system.strip(): + return f"{system.strip()}\n\n{extra}" + if isinstance(system, list): + return [*system, {"type": "text", "text": extra}] + return extra + + +def _has_claude_code_system(system: object) -> bool: + if isinstance(system, str): + return "You are Claude Code" in system + if isinstance(system, list): + return any(isinstance(item, dict) and "You are Claude Code" in str(item.get("text") or "") for item in system) + return False + + +def compact_system(system: object) -> object: + if isinstance(system, str): + return _compact_system_text(system) + if isinstance(system, list): + result = [] + for item in system: + if isinstance(item, dict) and str(item.get("type") or "") == "text": + copied = dict(item) + copied["text"] = _compact_system_text(str(item.get("text") or "")) + result.append(copied) + else: + result.append(item) + return result + return system + + +def _compact_system_text(text: str) -> str: + return text or "" + + +def _compact_message_text(text: str) -> str: + return text or "" + + +def preprocess_payload(payload: dict[str, object], text_mapper: Callable[[str], str] | None = None) -> dict[str, object]: + payload["messages"] = preprocess_messages(payload.get("messages"), text_mapper) + payload["system"] = merge_system(payload.get("system"), build_tool_prompt(payload.get("tools"))) + return payload + + +def message_request(body: dict[str, Any]) -> MessageRequest: + payload = preprocess_payload(dict(body)) + return MessageRequest( + backend=OpenAIBackendAPI(access_token=account_service.get_text_access_token()), + messages=normalize_messages(payload.get("messages"), payload.get("system")), + model=str(payload.get("model") or "auto").strip() or "auto", + tools=payload.get("tools"), + ) + + +def preprocess_messages(messages: object, text_mapper: Callable[[str], str] | None = None) -> object: + if not isinstance(messages, list): + return messages + mapper = text_mapper or (lambda text: text) + result = [] + for message in messages: + if not isinstance(message, dict): + continue + item = dict(message) + content = item.get("content") + if isinstance(content, str): + item["content"] = _compact_message_text(mapper(content)) + elif isinstance(content, list): + item["content"] = [_preprocess_block(block, mapper) for block in content] + result.append(item) + return result + + +def _preprocess_block(block: object, text_mapper: Callable[[str], str]) -> object: + if not isinstance(block, dict): + return block + block_type = str(block.get("type") or "") + if block_type == "text": + item = dict(block) + item["text"] = _compact_message_text(text_mapper(str(block.get("text") or ""))) + return item + if block_type == "tool_use": + return {"type": "text", "text": f"{block.get('name') or ''}{json.dumps(block.get('input') or {}, ensure_ascii=False)}"} + if block_type == "tool_result": + return {"type": "text", "text": f"Tool result {block.get('tool_use_id') or ''}: {block.get('content') or ''}"} + return block + + +def message_response(model: str, text: str, input_tokens: int, output_tokens: int, tools: object = None) -> dict[str, object]: + content, stop_reason = content_blocks(text, tools) + return { + "id": f"msg_{uuid.uuid4()}", + "type": "message", + "role": "assistant", + "model": model, + "content": content, + "stop_reason": stop_reason, + "stop_sequence": None, + "usage": {"input_tokens": input_tokens, "output_tokens": output_tokens}, + } + + +def content_blocks(text: str, tools: object = None) -> tuple[list[dict[str, object]], str]: + calls = parse_tool_calls(text) if isinstance(tools, list) and tools else [] + text = strip_tool_markup(text) + if calls: + content = ([{"type": "text", "text": text}] if text else []) + [{"type": "tool_use", "id": f"toolu_{uuid.uuid4()}", "name": name, "input": args} for name, args in calls] + return content, "tool_use" + return [{"type": "text", "text": text}], "end_turn" + + +def strip_tool_markup(text: str) -> str: + return re.sub(r"(?is)]*>.*?|]*>.*?|]*>.*?|]*>.*?", "", text or "").strip() + + +def streamable_text(text: str) -> str: + text = text or "" + match = re.search(r"(?is) list[tuple[str, dict[str, object]]]: + text = re.sub(r"(?is)```.*?```", "", text or "").strip() + blocks = re.findall(r"(?is)]*>(.*?)|]*>(.*?)|]*>(.*?)", text) + result = [] + for block in (next((part for part in match if part), "") for match in blocks): + name = xml_value(block, "tool_name") or xml_value(block, "name") or xml_value(block, "function") + params = xml_value(block, "parameters") or xml_value(block, "input") or xml_value(block, "arguments") or "{}" + if name: + result.append((name, parse_tool_params(params))) + return result + + +def xml_value(text: str, tag: str) -> str: + match = re.search(rf"(?is)<{tag}\b[^>]*>(.*?)", text) + if not match: + return "" + value = match.group(1).strip() + cdata = re.fullmatch(r"(?is)", value) + return html.unescape(cdata.group(1) if cdata else value).strip() + + +def parse_tool_params(raw: str) -> dict[str, object]: + raw = raw.strip() + try: + parsed = json.loads(raw) + return parsed if isinstance(parsed, dict) else {} + except Exception: + return {m.group(1): parse_tool_value(m.group(2)) for m in re.finditer(r"(?is)<([\w.-]+)\b[^>]*>(.*?)", raw)} + + +def parse_tool_value(raw: str) -> object: + value = xml_value(f"{raw}", "x") + try: + return json.loads(value) + except Exception: + return value + + +def stream_events(chunks: Iterable[dict[str, object]], model: str, input_tokens: int, output_tokens: Callable[[str], int], tools: object = None) -> Iterator[dict[str, object]]: + message_id = f"msg_{uuid.uuid4()}" + created = int(time.time()) + current_text = "" + streamed_text = "" + tool_mode = isinstance(tools, list) and bool(tools) + tool_started = False + text_open = False + yield {"type": "message_start", "message": {"id": message_id, "type": "message", "role": "assistant", "model": model, "content": [], "stop_reason": None, "stop_sequence": None, "usage": {"input_tokens": input_tokens, "output_tokens": 0}}} + if not tool_mode: + text_open = True + yield {"type": "content_block_start", "index": 0, "content_block": {"type": "text", "text": ""}} + for chunk in chunks: + choice = (chunk.get("choices") or [{}])[0] + delta = choice.get("delta") or {} + text_delta = delta.get("content", "") if isinstance(delta, dict) else "" + if text_delta: + current_text += text_delta + if not tool_started: + visible_text = current_text if not tool_mode else streamable_text(current_text) + if visible_text.startswith(streamed_text): + text_delta = visible_text[len(streamed_text):] + if text_delta: + if not text_open: + text_open = True + yield {"type": "content_block_start", "index": 0, "content_block": {"type": "text", "text": ""}} + streamed_text = visible_text + yield {"type": "content_block_delta", "index": 0, "delta": {"type": "text_delta", "text": text_delta}} + tool_started = tool_mode and visible_text != current_text + if choice.get("finish_reason"): + content, stop_reason = content_blocks(current_text, tools) + if text_open: + yield {"type": "content_block_stop", "index": 0} + if stop_reason == "tool_use": + start_index = 1 if text_open else 0 + if content and content[0]["type"] == "text": + remaining = str(content[0].get("text") or "")[len(streamed_text):] + if remaining: + if not text_open: + yield {"type": "content_block_start", "index": 0, "content_block": {"type": "text", "text": ""}} + yield {"type": "content_block_delta", "index": 0, "delta": {"type": "text_delta", "text": remaining}} + if not text_open: + yield {"type": "content_block_stop", "index": 0} + start_index = 1 + content = content[1:] + yield from _stream_buffered_blocks(content, start_index) + yield {"type": "message_delta", "delta": {"stop_reason": stop_reason, "stop_sequence": None}, "usage": {"output_tokens": output_tokens(current_text)}} + break + yield {"type": "message_stop", "created": created} + + +def _stream_buffered_blocks(content: list[dict[str, object]], start_index: int = 0) -> Iterator[dict[str, object]]: + for offset, block in enumerate(content): + index = start_index + offset + if block["type"] == "tool_use": + start = {"type": "tool_use", "id": block["id"], "name": block["name"], "input": {}} + delta = {"type": "input_json_delta", "partial_json": json.dumps(block.get("input") or {}, ensure_ascii=False)} + else: + start = {"type": "text", "text": ""} + delta = {"type": "text_delta", "text": block.get("text") or ""} + yield {"type": "content_block_start", "index": index, "content_block": start} + yield {"type": "content_block_delta", "index": index, "delta": delta} + yield {"type": "content_block_stop", "index": index} + + +def handle(body: dict[str, Any]) -> dict[str, Any] | Iterator[dict[str, Any]]: + request = message_request(body) + if body.get("stream"): + return stream_events( + stream_text_chat_completion(request.backend, request.messages, request.model), + request.model, + count_message_tokens(request.messages, request.model), + lambda text: count_text_tokens(text, request.model), + request.tools, + ) + text = collect_chat_content(stream_text_chat_completion(request.backend, request.messages, request.model)) + return message_response( + request.model, + text, + count_message_tokens(request.messages, request.model), + count_text_tokens(text, request.model), + request.tools, + ) diff --git a/services/protocol/chat_completion_cache.py b/services/protocol/chat_completion_cache.py new file mode 100644 index 0000000000000000000000000000000000000000..f28cc9840b0a86ebbb5b751fadd937c28590eaa6 --- /dev/null +++ b/services/protocol/chat_completion_cache.py @@ -0,0 +1,236 @@ +from __future__ import annotations + +import copy +import hashlib +import json +import threading +import time +from dataclasses import dataclass, field +from typing import Any, Callable, Iterable, Iterator + +from services.config import config + +CACHEABLE_TEXT_KEYS = { + "frequency_penalty", + "max_completion_tokens", + "max_tokens", + "metadata", + "model", + "presence_penalty", + "reasoning_effort", + "response_format", + "seed", + "stop", + "temperature", + "tool_choice", + "tools", + "top_p", + "user", +} + + +@dataclass +class CacheEntry: + expires_at: float + value: Any + + +@dataclass +class InflightCall: + condition: threading.Condition = field(default_factory=lambda: threading.Condition(threading.RLock())) + done: bool = False + value: Any = None + error: BaseException | None = None + + +def _json_safe(value: Any) -> Any: + if isinstance(value, bytes): + return {"__bytes_sha256__": hashlib.sha256(value).hexdigest(), "length": len(value)} + if isinstance(value, bytearray): + data = bytes(value) + return {"__bytes_sha256__": hashlib.sha256(data).hexdigest(), "length": len(data)} + if isinstance(value, dict): + return {str(key): _json_safe(item) for key, item in value.items()} + if isinstance(value, (list, tuple)): + return [_json_safe(item) for item in value] + return value + + +def canonical_body(body: dict[str, Any], messages: list[dict[str, Any]], *, stream: bool) -> dict[str, Any]: + payload = {key: body.get(key) for key in CACHEABLE_TEXT_KEYS if key in body} + payload["messages"] = messages + payload["stream"] = bool(stream) + return payload + + +def cache_key(body: dict[str, Any], messages: list[dict[str, Any]], *, stream: bool) -> str: + encoded = json.dumps( + _json_safe(canonical_body(body, messages, stream=stream)), + ensure_ascii=False, + sort_keys=True, + separators=(",", ":"), + ).encode("utf-8") + return hashlib.sha256(encoded).hexdigest() + + +def _message_signature(message: dict[str, Any]) -> str: + return json.dumps(_json_safe(message), ensure_ascii=False, sort_keys=True, separators=(",", ":")) + + +def normalize_text_messages(messages: list[dict[str, Any]]) -> list[dict[str, Any]]: + settings = config.get_chat_completion_cache_settings() + if not settings.get("normalize_messages"): + return messages + + normalized: list[dict[str, Any]] = [] + previous_signature = "" + for message in messages: + if settings.get("drop_assistant_history") and str(message.get("role") or "") == "assistant": + continue + signature = _message_signature(message) + if settings.get("drop_adjacent_duplicates") and signature == previous_signature: + continue + normalized.append(message) + previous_signature = signature + return normalized + + +class ChatCompletionCache: + def __init__(self) -> None: + self._lock = threading.RLock() + self._entries: dict[str, CacheEntry] = {} + self._inflight: dict[str, InflightCall] = {} + + def clear(self) -> None: + with self._lock: + self._entries.clear() + self._inflight.clear() + + def _settings(self) -> dict[str, object]: + return config.get_chat_completion_cache_settings() + + def _prune_locked(self, now: float, max_entries: int) -> None: + expired = [key for key, item in self._entries.items() if item.expires_at <= now] + for key in expired: + self._entries.pop(key, None) + while len(self._entries) > max_entries: + oldest_key = min(self._entries, key=lambda key: self._entries[key].expires_at) + self._entries.pop(oldest_key, None) + + @staticmethod + def _copy(value: Any) -> Any: + return copy.deepcopy(value) + + def get_or_compute_response(self, key: str, compute: Callable[[], dict[str, Any]]) -> dict[str, Any]: + settings = self._settings() + if not settings.get("enabled") or int(settings.get("ttl_seconds") or 0) <= 0: + return compute() + + now = time.time() + max_entries = int(settings.get("max_entries") or 1) + with self._lock: + self._prune_locked(now, max_entries) + entry = self._entries.get(key) + if entry and entry.expires_at > now: + return self._copy(entry.value) + inflight = self._inflight.get(key) if settings.get("dedupe_inflight") else None + if inflight is None: + inflight = InflightCall() + if settings.get("dedupe_inflight"): + self._inflight[key] = inflight + owner = True + else: + owner = False + + if not owner: + with inflight.condition: + while not inflight.done: + inflight.condition.wait() + if inflight.error: + raise inflight.error + return self._copy(inflight.value) + + try: + value = compute() + except BaseException as exc: + with self._lock: + self._inflight.pop(key, None) + with inflight.condition: + inflight.error = exc + inflight.done = True + inflight.condition.notify_all() + raise + + expires_at = time.time() + int(settings.get("ttl_seconds") or 0) + with self._lock: + self._entries[key] = CacheEntry(expires_at=expires_at, value=self._copy(value)) + self._prune_locked(time.time(), max_entries) + self._inflight.pop(key, None) + with inflight.condition: + inflight.value = self._copy(value) + inflight.done = True + inflight.condition.notify_all() + return value + + def get_or_compute_stream(self, key: str, compute: Callable[[], Iterable[dict[str, Any]]]) -> Iterator[dict[str, Any]]: + settings = self._settings() + if ( + not settings.get("enabled") + or not settings.get("stream_cache") + or int(settings.get("ttl_seconds") or 0) <= 0 + ): + yield from compute() + return + + now = time.time() + max_entries = int(settings.get("max_entries") or 1) + with self._lock: + self._prune_locked(now, max_entries) + entry = self._entries.get(key) + if entry and entry.expires_at > now: + yield from self._copy(entry.value) + return + inflight = self._inflight.get(key) if settings.get("dedupe_inflight") else None + if inflight is None: + inflight = InflightCall() + if settings.get("dedupe_inflight"): + self._inflight[key] = inflight + owner = True + else: + owner = False + + if not owner: + with inflight.condition: + while not inflight.done: + inflight.condition.wait() + if inflight.error: + raise inflight.error + yield from self._copy(inflight.value) + return + + chunks: list[dict[str, Any]] = [] + try: + for chunk in compute(): + chunks.append(self._copy(chunk)) + yield chunk + except BaseException as exc: + with self._lock: + self._inflight.pop(key, None) + with inflight.condition: + inflight.error = exc + inflight.done = True + inflight.condition.notify_all() + raise + + expires_at = time.time() + int(settings.get("ttl_seconds") or 0) + with self._lock: + self._entries[key] = CacheEntry(expires_at=expires_at, value=self._copy(chunks)) + self._prune_locked(time.time(), max_entries) + self._inflight.pop(key, None) + with inflight.condition: + inflight.value = self._copy(chunks) + inflight.done = True + inflight.condition.notify_all() + + +chat_completion_cache = ChatCompletionCache() diff --git a/services/protocol/conversation.py b/services/protocol/conversation.py new file mode 100644 index 0000000000000000000000000000000000000000..a474f1612c24ca25995e5751437b5395a33303d0 --- /dev/null +++ b/services/protocol/conversation.py @@ -0,0 +1,1556 @@ +from __future__ import annotations + +import base64 +import json +import re +import time +from concurrent.futures import ThreadPoolExecutor, as_completed +from dataclasses import dataclass, field +from typing import Any, Iterable, Iterator + +import tiktoken + +from services.account_service import account_service +from services.config import config +from services.image_storage_service import image_storage_service +from services.openai_backend_api import ImageContentPolicyError, ImagePollTimeoutError, OpenAIBackendAPI +from utils.helper import ( + IMAGE_MODELS, + extract_image_from_message_content, + is_codex_image_model, + is_supported_image_model, + split_image_model, +) +from utils.image_tokens import count_image_content_tokens +from utils.log import logger + + +class ImageGenerationError(Exception): + def __init__( + self, + message: str, + status_code: int = 502, + error_type: str = "server_error", + code: str | None = "upstream_error", + param: str | None = None, + account_email: str = "", + conversation_id: str = "", + ) -> None: + super().__init__(message) + self.status_code = status_code + self.error_type = error_type + self.code = code + self.param = param + self.account_email = account_email + self.conversation_id = conversation_id + + def to_openai_error(self) -> dict[str, Any]: + error_dict = { + "error": { + "message": public_image_error_message(str(self)), + "type": self.error_type, + "param": self.param, + "code": self.code, + } + } + if self.account_email: + error_dict["error"]["account_email"] = self.account_email + return error_dict + + +def public_image_error_message(message: str) -> str: + text = str(message or "").strip() + lower = text.lower() + if any(item in lower for item in ("backend-api/", "status=", "body=", "chatgpt.com", "upstreamhttperror")): + return "The image generation request failed. Please try again later." + return text or "The image generation request failed. Please try again later." + + +def is_token_invalid_error(message: str) -> bool: + text = str(message or "").lower() + return ( + "token_invalidated" in text + or "token_revoked" in text + or "authentication token has been invalidated" in text + or "invalidated oauth token" in text + ) + + +def is_tls_connection_error(message: str) -> bool: + """检测 TLS/SSL 连接错误，这类错误通常可以通过重试解决。""" + text = str(message or "").lower() + return ( + "curl: (35)" in text + or "tls connect error" in text + or "openssl_internal" in text + or "ssl: wrong_version_number" in text + or "ssl: certificate_verify_failed" in text + or "connection aborted" in text + or "remote disconnected" in text + or "connection reset by peer" in text + ) + + +def is_connection_timeout_error(message: str) -> bool: + """检测连接超时错误（如 curl 28），这类错误可通过同账号短等待重试解决。""" + text = str(message or "").lower() + return ( + "curl: (28)" in text + or "operation timed out" in text + or "connection timed out" in text + or "read timed out" in text + or "connect timeout" in text + ) + + +def image_stream_error_message(message: str) -> str: + text = str(message or "") + if is_token_invalid_error(text): + return "image generation failed" + if is_tls_connection_error(text): + return "upstream image connection failed, please retry later" + if is_connection_timeout_error(text): + return "upstream connection timed out, please retry later" + return text or "image generation failed" + + +REFERENCED_IMAGE_IDS_RE = re.compile(r'"referenced_image_ids"\s*:\s*\[([^\]]+)\]') +# 检测模型返回的部分工具调用 JSON（如 {"size":"1920x1088","n":1}） +# 这些 JSON 包含图片生成工具的参数，但没有实际生成图片 +TOOL_PARAMS_JSON_RE = re.compile( + r'\{\s*"size"\s*:\s*"\d+x\d+"\s*,\s*"n"\s*:\s*\d+\s*\}' +) + + +def is_model_text_reply_instead_of_image(message: str) -> bool: + """检测模型是否返回了文本回复（包含工具调用 JSON）而非实际生成图片。 + + 当上游 ChatGPT 未能触发图片生成工具时，会返回一段描述性文本， + 其中可能包含 JSON 参数（如 prompt、referenced_image_ids、size/n 等）。 + 这种情况应被视为「上游未生成图片」而非「内容策略违规」。 + + 检测两种模式： + 1. 完整的工具调用 JSON（含 referenced_image_ids） + 2. 部分的工具参数 JSON（如 {"size":"1920x1088","n":1}） + """ + if not message: + return False + if REFERENCED_IMAGE_IDS_RE.search(message): + return True + # 检测部分工具参数 JSON（模型返回了工具参数但未触发工具） + if TOOL_PARAMS_JSON_RE.search(message): + return True + return False + + +def encode_images(images: Iterable[tuple[bytes, str, str]]) -> list[str]: + return [base64.b64encode(data).decode("ascii") for data, _, _ in images if data] + + +def save_image_bytes(image_data: bytes, base_url: str | None = None) -> str: + return image_storage_service.save(image_data, base_url).url + + +def message_text(content: Any) -> str: + if isinstance(content, str): + return content + if isinstance(content, list): + parts = [] + for item in content: + if isinstance(item, str): + parts.append(item) + elif isinstance(item, dict) and str(item.get("type") or "") in {"text", "input_text", "output_text"}: + parts.append(str(item.get("text") or "")) + return "".join(parts) + return "" + + +def normalize_messages(messages: object, system: Any = None) -> list[dict[str, Any]]: + normalized = [] + if config.global_system_prompt: + normalized.append({"role": "system", "content": config.global_system_prompt}) + system_text = message_text(system) + if system_text: + normalized.append({"role": "system", "content": system_text}) + if isinstance(messages, list): + for message in messages: + if not isinstance(message, dict): + continue + role = message.get("role", "user") + content = message.get("content", "") + text = message_text(content) + images: list[tuple[bytes, str]] = [] + if role == "user": + images.extend(extract_image_from_message_content(content)) + if isinstance(content, list): + for part in content: + if not isinstance(part, dict) or part.get("type") != "image": + continue + data = part.get("data") + if isinstance(data, (bytes, bytearray)) and all(existing[0] != bytes(data) for existing in images): + images.append((bytes(data), str(part.get("mime") or "image/png"))) + if images: + parts: list[Any] = [] + if text: + parts.append({"type": "text", "text": text}) + for data, mime in images: + parts.append({"type": "image", "data": data, "mime": mime}) + normalized.append({"role": role, "content": parts}) + else: + normalized.append({"role": role, "content": text}) + return normalized + + +def prompt_with_global_system(prompt: str) -> str: + return f"{config.global_system_prompt}\n\n{prompt}" if config.global_system_prompt else prompt + + +def assistant_history_text(messages: list[dict[str, Any]]) -> str: + return "".join(str(item.get("content") or "") for item in messages if item.get("role") == "assistant") + + +def assistant_history_messages(messages: list[dict[str, Any]]) -> list[str]: + return [str(item.get("content") or "") for item in messages if item.get("role") == "assistant" and item.get("content")] + + +def build_image_prompt(prompt: str, size: str | None, quality: str = "auto") -> str: + hints = [] + if size: + hints.append(f"输出图片尺寸为 {size}。") + if quality: + hints.append(f"输出图片质量为 {quality}。") + return f"{prompt.strip()}\n\n{''.join(hints)}" if hints else prompt + + +def encoding_for_model(model: str): + try: + return tiktoken.encoding_for_model(model) + except KeyError: + try: + return tiktoken.get_encoding("o200k_base") + except KeyError: + return tiktoken.get_encoding("cl100k_base") + + +def count_message_image_tokens(messages: list[dict[str, Any]], model: str) -> int: + return sum(count_image_content_tokens(message.get("content"), model) for message in messages) + + +def count_message_text_tokens(messages: list[dict[str, Any]], model: str) -> int: + encoding = encoding_for_model(model) + total = 0 + for message in messages: + total += 3 + for key, value in message.items(): + if key == "content" and isinstance(value, list): + total += len(encoding.encode(message_text(value))) + elif isinstance(value, str): + total += len(encoding.encode(value)) + else: + continue + if key == "name": + total += 1 + return total + 3 + + +def count_message_tokens(messages: list[dict[str, Any]], model: str) -> int: + return count_message_text_tokens(messages, model) + count_message_image_tokens(messages, model) + + +def count_text_tokens(text: str, model: str) -> int: + return len(encoding_for_model(model).encode(text)) + + +def format_image_result( + items: list[dict[str, Any]], + prompt: str, + response_format: str, + base_url: str | None = None, + created: int | None = None, + message: str = "", +) -> dict[str, Any]: + data: list[dict[str, Any]] = [] + for item in items: + b64_json = str(item.get("b64_json") or "").strip() + if not b64_json: + continue + revised_prompt = str(item.get("revised_prompt") or prompt).strip() or prompt + if response_format == "b64_json": + data.append({ + "b64_json": b64_json, + "url": save_image_bytes(base64.b64decode(b64_json), base_url), + "revised_prompt": revised_prompt, + }) + else: + data.append({ + "url": save_image_bytes(base64.b64decode(b64_json), base_url), + "revised_prompt": revised_prompt, + }) + result: dict[str, Any] = {"created": created or int(time.time()), "data": data} + if message and not data: + result["message"] = message + return result + + +@dataclass +class ConversationRequest: + model: str = "auto" + prompt: str = "" + messages: list[dict[str, Any]] | None = None + images: list[str] | None = None + n: int = 1 + size: str | None = None + quality: str = "auto" + response_format: str = "b64_json" + base_url: str | None = None + message_as_error: bool = False + progress_callback: Any = None # Callable[[str], None] | None + + +@dataclass +class ConversationState: + text: str = "" + raw_text: str = "" + conversation_id: str = "" + file_ids: list[str] = field(default_factory=list) + sediment_ids: list[str] = field(default_factory=list) + blocked: bool = False + tool_invoked: bool | None = None + turn_use_case: str = "" + + +@dataclass +class ImageOutput: + kind: str + model: str + index: int + total: int + created: int = field(default_factory=lambda: int(time.time())) + text: str = "" + upstream_event_type: str = "" + data: list[dict[str, Any]] = field(default_factory=list) + account_email: str = "" + conversation_id: str = "" + + def to_chunk(self) -> dict[str, Any]: + chunk: dict[str, Any] = { + "object": "image.generation.chunk", + "created": self.created, + "model": self.model, + "index": self.index, + "total": self.total, + "progress_text": self.text, + "upstream_event_type": self.upstream_event_type, + "data": [], + } + if self.account_email: + chunk["_account_email"] = self.account_email + if self.conversation_id: + chunk["_conversation_id"] = self.conversation_id + if self.kind == "message": + chunk.update({ + "object": "image.generation.message", + "message": self.text, + }) + chunk.pop("progress_text", None) + chunk.pop("upstream_event_type", None) + elif self.kind == "result": + chunk.update({ + "object": "image.generation.result", + "data": self.data, + }) + chunk.pop("progress_text", None) + chunk.pop("upstream_event_type", None) + return chunk + + +def assistant_message_text(message: dict[str, Any]) -> str: + content = message.get("content") or {} + parts = content.get("parts") or [] + if isinstance(parts, list) and parts: + text = "".join(part for part in parts if isinstance(part, str)) + if text: + return text + # Fallback: content_type "code" stores text in the "text" field instead of "parts" + text_field = str(content.get("text") or "") + if text_field: + return text_field + return "" + + +def strip_history(text: str, history_text: str = "") -> str: + text = str(text or "") + history_text = str(history_text or "") + while history_text and text.startswith(history_text): + text = text[len(history_text):] + return text + + +def sanitize_output_text(text: str) -> str: + text = str(text or "") + + def is_internal_annotation_part(part: str) -> bool: + value = part.strip() + if not value: + return True + lower = value.lower() + return bool( + re.fullmatch(r"turn\d+[a-z]*\d*", lower) + or re.fullmatch(r"turn\d+\w*", lower) + or lower.startswith(("turn", "source", "sources")) + ) + + def readable_annotation_part(parts: list[str]) -> str: + for part in parts: + value = part.strip() + if value and not is_internal_annotation_part(value): + return value + return "" + + def replace_annotation(match: re.Match[str]) -> str: + payload = match.group(1) + parts = [part.strip() for part in payload.split("\ue202")] + kind = (parts[0] if parts else "").lower() + data = parts[1:] + if kind == "url": + label = data[0] if data else "" + url = data[1] if len(data) > 1 else "" + if label and url.startswith(("http://", "https://")): + return f"{label} ({url})" + return label or url + if kind == "cite": + return readable_annotation_part(data) + return readable_annotation_part(data) + + # ChatGPT web sometimes returns rich annotation markers using private-use + # characters. API clients cannot render those. Preserve readable labels + # from entity/link annotations, while removing internal citation pointers. + text = re.sub(r"\ue200([^\ue201]*)\ue201", replace_annotation, text) + text = re.sub(r"\ue200[^\ue201]*$", "", text) + text = re.sub(r"\s+([.,;:!?])", r"\1", text) + return text + + +def assistant_raw_text(event: dict[str, Any], current_text: str = "", history_text: str = "") -> str: + for candidate in (event, event.get("v")): + if not isinstance(candidate, dict): + continue + message = candidate.get("message") + if not isinstance(message, dict): + continue + role = str((message.get("author") or {}).get("role") or "").strip().lower() + if role != "assistant": + continue + text = assistant_message_text(message) + if text: + return strip_history(text, history_text) + return apply_text_patch(event, current_text, history_text) + + +def assistant_text(event: dict[str, Any], current_text: str = "", history_text: str = "") -> str: + return sanitize_output_text(assistant_raw_text(event, current_text, history_text)) + + +def event_assistant_text(event: dict[str, Any], history_text: str = "") -> str: + for candidate in (event, event.get("v")): + if not isinstance(candidate, dict): + continue + message = candidate.get("message") + if isinstance(message, dict) and (message.get("author") or {}).get("role") == "assistant": + return strip_history(assistant_message_text(message), history_text) + return "" + + +def apply_text_patch(event: dict[str, Any], current_text: str = "", history_text: str = "") -> str: + if event.get("p") == "/message/content/parts/0": + return apply_patch_op(event, current_text, history_text) + + operations = event.get("v") + if isinstance(operations, str) and current_text and not event.get("p") and not event.get("o"): + return current_text + operations + + if event.get("o") == "patch" and isinstance(operations, list): + text = current_text + for item in operations: + if isinstance(item, dict): + text = apply_text_patch(item, text, history_text) + return text + + if not isinstance(operations, list): + return current_text + + text = current_text + for item in operations: + if isinstance(item, dict): + text = apply_text_patch(item, text, history_text) + return text + + +def apply_patch_op(operation: dict[str, Any], current_text: str, history_text: str = "") -> str: + op = operation.get("o") + value = str(operation.get("v") or "") + if op == "append": + return current_text + value + if op == "replace": + return strip_history(value, history_text) + return current_text + + +def add_unique(values: list[str], candidates: list[str]) -> None: + for candidate in candidates: + if candidate and candidate not in values: + values.append(candidate) + + +FILE_SERVICE_ID_RE = re.compile(r"file-service://([A-Za-z0-9_-]+)") +FILE_ID_RE = re.compile(r"\b(file[-_](?!service\b)[A-Za-z0-9_-]+)\b") +# 真正的图片文件 ID 格式：file_00000000 + 24位十六进制字符（共32字符） +# 用于过滤非图片文件 ID（如 file_upload_business_upsell） +REAL_IMAGE_FILE_ID_RE = re.compile(r"\bfile_00000000[a-f0-9]{24}\b") +SEDIMENT_ID_RE = re.compile(r"sediment://([A-Za-z0-9_-]+)") + + +def extract_conversation_ids(payload: str) -> tuple[str, list[str], list[str]]: + conversation_match = re.search(r'"conversation_id"\s*:\s*"([^"]+)"', payload) + conversation_id = conversation_match.group(1) if conversation_match else "" + file_ids: list[str] = [] + # Negative lookahead excludes "file-service" (URI prefix, not a real id). + add_unique(file_ids, FILE_SERVICE_ID_RE.findall(payload)) + # 只提取真正的图片文件 ID（file_00000000... 格式），过滤非图片文件 ID（如 file_upload_business_upsell） + add_unique(file_ids, REAL_IMAGE_FILE_ID_RE.findall(payload)) + sediment_ids = SEDIMENT_ID_RE.findall(payload) + return conversation_id, file_ids, sediment_ids + + +def is_image_tool_event(event: dict[str, Any]) -> bool: + value = event.get("v") + message = event.get("message") or (value.get("message") if isinstance(value, dict) else None) + if not isinstance(message, dict): + return False + metadata = message.get("metadata") or {} + author = message.get("author") or {} + content = message.get("content") or {} + if author.get("role") != "tool": + return False + if metadata.get("async_task_type") == "image_gen": + return True + if content.get("content_type") != "multimodal_text": + return False + return any( + isinstance(part, dict) and ( + part.get("content_type") == "image_asset_pointer" + or str(part.get("asset_pointer") or "").startswith(("file-service://", "sediment://")) + ) + for part in content.get("parts") or [] + ) + + +def _is_user_message_event(event: dict[str, Any]) -> bool: + """检查事件是否来自 user 角色消息。""" + value = event.get("v") + message = event.get("message") or (value.get("message") if isinstance(value, dict) else None) + if isinstance(message, dict): + author = message.get("author") or {} + if str(author.get("role") or "").strip().lower() == "user": + return True + return False + + +def update_conversation_state(state: ConversationState, payload: str, event: dict[str, Any] | None = None) -> None: + conversation_id, file_ids, sediment_ids = extract_conversation_ids(payload) + if conversation_id and not state.conversation_id: + state.conversation_id = conversation_id + # Accept file_id / sediment_id when any of: + # 1) event is a complete image_gen tool message + # 2) prior server_ste_metadata already flipped tool_invoked True (in an image_gen turn), + # BUT only for non-user messages — user messages contain the uploaded input image + # which must NOT be treated as a generated output. + # 3) patch event whose payload references asset_pointer / file-service://, + # BUT only when the event is not a user message. + is_patch_event = isinstance(event, dict) and event.get("o") == "patch" + is_user_msg = isinstance(event, dict) and _is_user_message_event(event) + image_context = ( + (isinstance(event, dict) and is_image_tool_event(event)) + or (state.tool_invoked is True and not is_user_msg) + or (is_patch_event and not is_user_msg and ("asset_pointer" in payload or "file-service://" in payload)) + ) + if image_context: + add_unique(state.file_ids, file_ids) + add_unique(state.sediment_ids, sediment_ids) + if not isinstance(event, dict): + return + state.conversation_id = str(event.get("conversation_id") or state.conversation_id) + value = event.get("v") + if isinstance(value, dict): + state.conversation_id = str(value.get("conversation_id") or state.conversation_id) + if event.get("type") == "moderation": + moderation = event.get("moderation_response") + if isinstance(moderation, dict) and moderation.get("blocked") is True: + state.blocked = True + if event.get("type") == "server_ste_metadata": + metadata = event.get("metadata") + if isinstance(metadata, dict): + if isinstance(metadata.get("tool_invoked"), bool): + state.tool_invoked = metadata["tool_invoked"] + state.turn_use_case = str(metadata.get("turn_use_case") or state.turn_use_case) + + +def conversation_base_event(event_type: str, state: ConversationState, **extra: Any) -> dict[str, Any]: + return { + "type": event_type, + "text": state.text, + "conversation_id": state.conversation_id, + "file_ids": list(state.file_ids), + "sediment_ids": list(state.sediment_ids), + "blocked": state.blocked, + "tool_invoked": state.tool_invoked, + "turn_use_case": state.turn_use_case, + **extra, + } + + +def iter_conversation_payloads(payloads: Iterator[str], history_text: str = "", + history_messages: list[str] | None = None) -> Iterator[dict[str, Any]]: + state = ConversationState() + history_messages = history_messages or [] + history_index = 0 + for payload in payloads: + # print(f"[upstream_sse] {payload}", flush=True) + if not payload: + continue + if payload == "[DONE]": + yield conversation_base_event("conversation.done", state, done=True) + break + try: + event = json.loads(payload) + except json.JSONDecodeError: + update_conversation_state(state, payload) + yield conversation_base_event("conversation.raw", state, payload=payload) + continue + if not isinstance(event, dict): + yield conversation_base_event("conversation.event", state, raw=event) + continue + update_conversation_state(state, payload, event) + if history_index < len(history_messages) and event_assistant_text(event, history_text) == history_messages[history_index]: + history_index += 1 + state.raw_text = "" + state.text = "" + continue + next_raw_text = assistant_raw_text(event, state.raw_text, history_text) + next_text = sanitize_output_text(next_raw_text) + state.raw_text = next_raw_text + if next_text != state.text: + delta = next_text[len(state.text):] if next_text.startswith(state.text) else next_text + state.text = next_text + yield conversation_base_event("conversation.delta", state, raw=event, delta=delta) + continue + yield conversation_base_event("conversation.event", state, raw=event) + + +def conversation_events( + backend: OpenAIBackendAPI, + messages: list[dict[str, Any]] | None = None, + model: str = "auto", + prompt: str = "", + images: list[str] | None = None, + size: str | None = None, + quality: str = "auto", +) -> Iterator[dict[str, Any]]: + normalized = normalize_messages(messages or ([{"role": "user", "content": prompt}] if prompt else [])) + image_model = is_supported_image_model(model) + history_text = "" if image_model else assistant_history_text(normalized) + history_messages = [] if image_model else assistant_history_messages(normalized) + final_prompt = prompt_with_global_system(build_image_prompt(prompt, size, quality)) if image_model else prompt + payloads = backend.stream_conversation( + messages=normalized, + model=model, + prompt=final_prompt, + images=images if image_model else None, + system_hints=["picture_v2"] if image_model else None, + ) + yield from iter_conversation_payloads(payloads, history_text, history_messages) + + +def text_backend() -> OpenAIBackendAPI: + return OpenAIBackendAPI(access_token=account_service.get_text_access_token()) + + +def stream_text_deltas(backend: OpenAIBackendAPI, request: ConversationRequest) -> Iterator[str]: + attempted_tokens: set[str] = set() + token = getattr(backend, "access_token", "") + emitted = False + while True: + if token and token in attempted_tokens: + raise RuntimeError("no available text account") + if token: + attempted_tokens.add(token) + try: + active_backend = OpenAIBackendAPI(access_token=token) + for event in conversation_events(active_backend, messages=request.messages, model=request.model, prompt=request.prompt): + if event.get("type") != "conversation.delta": + continue + delta = str(event.get("delta") or "") + if delta: + emitted = True + yield delta + account_service.mark_text_used(token) + return + except Exception as exc: + error_message = str(exc) + if token and not emitted and is_token_invalid_error(error_message): + refreshed_token = account_service.refresh_access_token(token, force=True, event="text_stream") + if refreshed_token and refreshed_token != token and refreshed_token not in attempted_tokens: + token = refreshed_token + else: + account_service.remove_invalid_token(token, "text_stream") + token = account_service.get_text_access_token(attempted_tokens) + if token: + continue + raise + + +def collect_text(backend: OpenAIBackendAPI, request: ConversationRequest) -> str: + return "".join(stream_text_deltas(backend, request)) + + +def _get_detailed_error_from_tasks( + backend: OpenAIBackendAPI, + conversation_id: str, + timeout_secs: float = 10.0, + wait_secs: float = 2.0, +) -> str: + """从 /backend-api/tasks/ 接口获取结构化错误信息。 + + 当 SSE 流检测到 moderation 拦截时，轮询 tasks 接口获取详细错误文本。 + 使用结构化字段（metadata.is_error, author.role, content.content_type）判断， + 而非依赖易变的文本匹配。 + + 参数： + - `backend`：OpenAIBackendAPI 实例。 + - `conversation_id`：会话 ID。 + - `timeout_secs`：请求超时秒数。 + - `wait_secs`：等待任务创建的秒数。设为 0 可跳过等待。 + + 返回： + - 详细错误信息文本，如果未找到则返回空字符串。 + """ + import time as _time + try: + if wait_secs > 0: + _time.sleep(wait_secs) + tasks = backend._query_backend_tasks(conversation_id=conversation_id, timeout_secs=timeout_secs) + if not tasks: + return "" + + for task in tasks: + is_error, error_msg, metadata = backend.check_task_error(task) + if is_error and error_msg: + logger.info({ + "event": "image_task_structured_error", + "conversation_id": conversation_id, + "error_msg": error_msg, + "metadata": metadata, + }) + return error_msg + return "" + except Exception as exc: + logger.warning({ + "event": "image_task_error_query_failed", + "conversation_id": conversation_id, + "error": str(exc), + }) + return "" + + +def stream_image_outputs( + backend: OpenAIBackendAPI, + request: ConversationRequest, + index: int = 1, + total: int = 1, +) -> Iterator[ImageOutput]: + last: dict[str, Any] = {} + for event in conversation_events( + backend, + prompt=request.prompt, + model=request.model, + images=request.images or [], + size=request.size, + quality=request.quality, + ): + last = event + if event.get("type") == "conversation.delta": + yield ImageOutput( + kind="progress", + model=request.model, + index=index, + total=total, + text=str(event.get("delta") or ""), + upstream_event_type="conversation.delta", + ) + continue + if event.get("type") == "conversation.event": + raw = event.get("raw") + raw_type = str(raw.get("type") or "") if isinstance(raw, dict) else "" + yield ImageOutput( + kind="progress", + model=request.model, + index=index, + total=total, + upstream_event_type=raw_type, + ) + + conversation_id = str(last.get("conversation_id") or "") + file_ids = [str(item) for item in last.get("file_ids") or []] + sediment_ids = [str(item) for item in last.get("sediment_ids") or []] + message = str(last.get("text") or "").strip() + logger.info({ + "event": "image_stream_resolve_start", + "conversation_id": conversation_id, + "file_ids": file_ids, + "sediment_ids": sediment_ids, + "tool_invoked": last.get("tool_invoked"), + "turn_use_case": last.get("turn_use_case"), + }) + if request.progress_callback: + request.progress_callback("image_stream_resolve_start") + if message and not file_ids and not sediment_ids and last.get("blocked"): + # 尝试从 /backend-api/tasks/ 获取详细错误信息 + detailed_error = _get_detailed_error_from_tasks(backend, conversation_id) + error_text = detailed_error or message or "Image generation was rejected by upstream policy." + yield ImageOutput(kind="message", model=request.model, index=index, total=total, text=error_text, conversation_id=conversation_id) + return + should_poll_for_image = bool(request.images) or last.get("turn_use_case") == "image gen" + if message and not file_ids and not sediment_ids and not should_poll_for_image: + yield ImageOutput(kind="message", model=request.model, index=index, total=total, text=message, conversation_id=conversation_id) + return + + # 检测模型是否返回了文本描述（含 referenced_image_ids）而非实际生成图片 + # 这说明模型已发起图片生成工具调用，但 SSE 在工具完成前断开， + # 图片可能正在异步生成中。需要使用更积极的轮询策略来获取结果。 + is_text_reply = bool(message and is_model_text_reply_instead_of_image(message)) + if is_text_reply: + logger.info({ + "event": "image_detected_text_reply_with_ids", + "conversation_id": conversation_id, + "message_preview": message[:200], + }) + + # 当检测到文本回复但 conversation_id 丢失时，尝试从最近对话列表中恢复 + # SSE 流太短时（模型返回文本而非触发图片工具），conversation_id 可能未被捕获， + # 但图片已在上游异步生成。通过列出最近对话来恢复 conversation_id。 + if is_text_reply and not conversation_id: + try: + import time as _time + recovered_id = backend.find_conversation_by_prompt( + request.prompt, _time.time(), timeout_secs=5.0, + ) + if recovered_id: + conversation_id = recovered_id + logger.info({ + "event": "image_conversation_id_recovered", + "conversation_id": conversation_id, + "message_preview": message[:200], + }) + except Exception as exc: + logger.warning({ + "event": "image_conversation_id_recovery_failed", + "error": repr(exc)[:300], + }) + + # 在轮询图片之前，先检查 /backend-api/tasks/ 是否有 moderation 拦截 + # 这样可以避免不必要的长时间轮询超时 + # 注意：当 should_poll_for_image 为 True 或检测到文本回复时， + # 即使 tasks 报告了"错误"，也不能直接返回——因为上游可能将工具调用的 JSON 参数 + # （如 {"size":"1792x1024","n":1}）标记为 is_error，而实际上图片正在异步生成中。 + # 此时应继续轮询图片。 + detailed_error = "" + if not file_ids and not sediment_ids and conversation_id: + detailed_error = _get_detailed_error_from_tasks(backend, conversation_id, timeout_secs=5.0, wait_secs=1.0) + if detailed_error and not should_poll_for_image and not is_text_reply: + logger.info({ + "event": "image_task_error_before_poll", + "conversation_id": conversation_id, + "error": detailed_error, + }) + yield ImageOutput(kind="message", model=request.model, index=index, total=total, text=detailed_error, conversation_id=conversation_id) + return + if detailed_error and (should_poll_for_image or is_text_reply): + logger.info({ + "event": "image_task_error_skipped_for_poll", + "conversation_id": conversation_id, + "error": detailed_error, + }) + + # 当检测到文本回复（含 referenced_image_ids）时，使用更长的超时来轮询图片结果。 + # 因为上游可能将图片生成作为异步任务执行，SSE 流在工具完成前就断开了， + # 导致对话文档中尚未写入图片工具的响应记录。 + poll_timeout = config.image_poll_timeout_secs + if is_text_reply and conversation_id: + # 文本回复场景下图片可能仍在异步生成，使用更长超时（默认 120s → 额外 180s = 300s） + poll_timeout = max(poll_timeout, 300) + logger.info({ + "event": "image_text_reply_extended_poll", + "conversation_id": conversation_id, + "poll_timeout_secs": poll_timeout, + }) + + try: + image_urls = backend.resolve_conversation_image_urls( + conversation_id, file_ids, sediment_ids, poll_timeout_secs=poll_timeout, + ) + except (ImageContentPolicyError, ImagePollTimeoutError) as exc: + # 当检测到文本回复时，task error 不应直接判定为内容策略违规， + # 因为图片可能仍在后台异步生成中 + if is_text_reply and isinstance(exc, ImageContentPolicyError): + logger.warning({ + "event": "image_text_reply_task_error_ignored", + "conversation_id": conversation_id, + "error": str(exc), + }) + image_urls = [] + else: + raise + except Exception as exc: + # 当检测到文本回复时，首次轮询的临时网络错误不应直接中断， + # 因为图片可能仍在后台异步生成中，后续 retry poll 会继续尝试。 + if is_text_reply and conversation_id: + logger.warning({ + "event": "image_text_reply_first_poll_error_ignored", + "conversation_id": conversation_id, + "error": repr(exc)[:300], + }) + image_urls = [] + else: + raise + + if image_urls: + if request.progress_callback: + request.progress_callback("receiving_image") + image_items = [ + {"b64_json": base64.b64encode(image_data).decode("ascii")} + for image_data in backend.download_image_bytes(image_urls) + ] + data = format_image_result( + image_items, + request.prompt, + request.response_format, + request.base_url, + int(time.time()), + )["data"] + if data: + yield ImageOutput(kind="result", model=request.model, index=index, total=total, data=data, conversation_id=conversation_id) + return + + if message: + # 检测模型是否返回了文本描述（含 referenced_image_ids）而非实际生成图片 + # 这说明模型已发起图片生成工具调用，但 SSE 在工具完成前断开。 + # 此时应再尝试轮询图片结果，而不是直接把文本当作最终输出。 + # 当 is_text_reply 但 conversation_id 丢失时，尝试从最近对话列表恢复 + if is_text_reply and not conversation_id: + try: + import time as _time + recovered_id = backend.find_conversation_by_prompt( + request.prompt, _time.time(), timeout_secs=5.0, + ) + if recovered_id: + conversation_id = recovered_id + logger.info({ + "event": "image_text_reply_conversation_id_recovered", + "conversation_id": conversation_id, + "message_preview": message[:200], + }) + except Exception as exc: + logger.warning({ + "event": "image_text_reply_conversation_id_recovery_failed", + "error": repr(exc)[:300], + }) + if is_text_reply and conversation_id: + logger.info({ + "event": "image_model_text_reply_retry_poll", + "conversation_id": conversation_id, + "message_preview": message[:200], + }) + # 文本回复场景下，图片可能需要 4-5 分钟才能异步生成完成。 + # 使用 300s 超时并允许多次重试，避免因临时网络问题提前退出。 + retry_poll_timeout = max(config.image_poll_timeout_secs, 300) + MAX_POLL_RETRIES = 3 + for poll_attempt in range(1, MAX_POLL_RETRIES + 1): + try: + polled_file_ids, polled_sediment_ids = backend._poll_image_results( + conversation_id, + retry_poll_timeout, + file_ids, + sediment_ids, + ) + file_ids.extend(item for item in polled_file_ids if item and item not in file_ids) + sediment_ids.extend(item for item in polled_sediment_ids if item and item not in sediment_ids) + break # 轮询成功，退出重试循环 + except Exception as exc: + error_str = str(exc) + is_transient = ( + isinstance(exc, ImagePollTimeoutError) + or is_tls_connection_error(error_str) + or "upstream" in error_str.lower() + or "connection" in error_str.lower() + or "timeout" in error_str.lower() + ) + logger.warning({ + "event": "image_model_text_reply_poll_failed", + "conversation_id": conversation_id, + "poll_attempt": poll_attempt, + "error": repr(exc)[:300], + "is_transient": is_transient, + }) + # 如果还有重试次数且不是超时/内容违规错误，继续重试 + if poll_attempt < MAX_POLL_RETRIES and not isinstance(exc, (ImagePollTimeoutError, ImageContentPolicyError)): + # 递增退避：30s, 60s, 90s + backoff = 30.0 * poll_attempt + logger.info({ + "event": "image_model_text_reply_poll_retry", + "conversation_id": conversation_id, + "poll_attempt": poll_attempt, + "backoff_secs": backoff, + }) + time.sleep(backoff) + continue + # 超时错误或重试次数用尽，停止重试 + break + + if file_ids or sediment_ids: + image_urls = backend.resolve_conversation_image_urls( + conversation_id, file_ids, sediment_ids, poll=False, + ) + if image_urls: + if request.progress_callback: + request.progress_callback("receiving_image") + image_items = [ + {"b64_json": base64.b64encode(image_data).decode("ascii")} + for image_data in backend.download_image_bytes(image_urls) + ] + data = format_image_result( + image_items, + request.prompt, + request.response_format, + request.base_url, + int(time.time()), + )["data"] + if data: + yield ImageOutput(kind="result", model=request.model, index=index, total=total, data=data, conversation_id=conversation_id) + return + elif is_text_reply: + logger.warning({ + "event": "image_model_text_reply_no_image", + "conversation_id": conversation_id, + "message_preview": message[:200], + }) + yield ImageOutput(kind="message", model=request.model, index=index, total=total, text=message, conversation_id=conversation_id) + return + + # 兜底：当 message 为空且图片 URL 解析失败时，先尝试一次短延迟重试轮询 + # 然后抛出明确错误而非让调用方得到 "upstream completed without generating images" 这种模糊报错 + logger.warning({ + "event": "image_stream_no_result_fallback", + "conversation_id": conversation_id, + "file_ids": file_ids, + "sediment_ids": sediment_ids, + "should_poll_for_image": should_poll_for_image, + }) + # 当 should_poll_for_image 为 True 但 conversation_id 丢失时，尝试恢复 + if should_poll_for_image and not conversation_id: + try: + import time as _time + recovered_id = backend.find_conversation_by_prompt( + request.prompt, _time.time(), timeout_secs=5.0, + ) + if recovered_id: + conversation_id = recovered_id + logger.info({ + "event": "image_fallback_conversation_id_recovered", + "conversation_id": conversation_id, + }) + except Exception as exc: + logger.warning({ + "event": "image_fallback_conversation_id_recovery_failed", + "error": repr(exc)[:300], + }) + if should_poll_for_image and conversation_id: + # 图片可能仍在异步处理中（上游 SSE 流在图片生成完成前就结束了）。 + # 使用 300s 超时并允许多次重试，避免因临时网络问题或图片尚未提交而提前退出。 + retry_poll_timeout = max(config.image_poll_timeout_secs, 300) + MAX_FALLBACK_POLL_RETRIES = 3 + for poll_attempt in range(1, MAX_FALLBACK_POLL_RETRIES + 1): + retry_wait_secs = min(30.0 * poll_attempt, config.image_poll_initial_wait_secs * poll_attempt) + logger.info({ + "event": "image_stream_retry_poll_after_wait", + "conversation_id": conversation_id, + "retry_wait_secs": retry_wait_secs, + "poll_attempt": poll_attempt, + }) + time.sleep(retry_wait_secs) + try: + polled_file_ids, polled_sediment_ids = backend._poll_image_results( + conversation_id, + retry_poll_timeout, + file_ids, + sediment_ids, + ) + file_ids.extend(item for item in polled_file_ids if item and item not in file_ids) + sediment_ids.extend(item for item in polled_sediment_ids if item and item not in sediment_ids) + break # 轮询成功，退出重试循环 + except Exception as exc: + error_str = str(exc) + is_transient = ( + isinstance(exc, ImagePollTimeoutError) + or is_tls_connection_error(error_str) + or "upstream" in error_str.lower() + or "connection" in error_str.lower() + or "timeout" in error_str.lower() + ) + logger.warning({ + "event": "image_stream_retry_poll_failed", + "conversation_id": conversation_id, + "poll_attempt": poll_attempt, + "error": repr(exc)[:300], + "is_transient": is_transient, + }) + # 如果还有重试次数且不是超时/内容违规错误，继续重试 + if poll_attempt < MAX_FALLBACK_POLL_RETRIES and not isinstance(exc, (ImagePollTimeoutError, ImageContentPolicyError)): + # 递增退避：30s, 60s + backoff = 30.0 * poll_attempt + logger.info({ + "event": "image_stream_retry_poll_retry", + "conversation_id": conversation_id, + "poll_attempt": poll_attempt, + "backoff_secs": backoff, + }) + time.sleep(backoff) + continue + # 超时错误或重试次数用尽，停止重试 + break + + if file_ids or sediment_ids: + image_urls = backend.resolve_conversation_image_urls( + conversation_id, file_ids, sediment_ids, poll=False, + ) + if image_urls: + if request.progress_callback: + request.progress_callback("receiving_image") + image_items = [ + {"b64_json": base64.b64encode(image_data).decode("ascii")} + for image_data in backend.download_image_bytes(image_urls) + ] + data = format_image_result( + image_items, + request.prompt, + request.response_format, + request.base_url, + int(time.time()), + )["data"] + if data: + yield ImageOutput(kind="result", model=request.model, index=index, total=total, data=data, conversation_id=conversation_id) + return + + # 重试后仍然失败，yield 错误消息 + yield ImageOutput(kind="message", model=request.model, index=index, total=total, + text="Image generation completed upstream but the result could not be retrieved. " + "The image may still be processing. Please try again in a moment.", + conversation_id=conversation_id) + elif message: + yield ImageOutput(kind="message", model=request.model, index=index, total=total, text=message, conversation_id=conversation_id) + else: + # conversation_id 也为空时（SSE 流极短、未捕获到会话 ID）， + # 仍然 yield 一条消息，避免 stream_image_outputs_with_pool 产生 + # "upstream completed without generating images" 模糊报错 + yield ImageOutput(kind="message", model=request.model, index=index, total=total, + text="Image generation started upstream but the response was incomplete. " + "Please try again.", + conversation_id=conversation_id) + + +def _codex_response_images(value: Any) -> list[str]: + if isinstance(value, dict): + if value.get("type") == "image_generation_call" and isinstance(value.get("result"), str): + result = value["result"].strip() + if result: + return [result.split(",", 1)[1] if result.startswith("data:image/") else result] + images: list[str] = [] + for item in value.values(): + images.extend(_codex_response_images(item)) + return images + if isinstance(value, list): + images: list[str] = [] + for item in value: + images.extend(_codex_response_images(item)) + return images + return [] + + +def stream_codex_image_outputs( + backend: OpenAIBackendAPI, + request: ConversationRequest, + index: int = 1, + total: int = 1, +) -> Iterator[ImageOutput]: + images = _codex_response_images(list(backend.iter_codex_image_response_events( + prompt=request.prompt, + images=request.images or [], + size=request.size, + quality=request.quality, + ))) + if not images: + raise ImageGenerationError("No image result found in response") + data = format_image_result( + [{"b64_json": item, "revised_prompt": request.prompt} for item in images], + request.prompt, + request.response_format, + request.base_url, + int(time.time()), + )["data"] + if data: + yield ImageOutput(kind="result", model=request.model, index=index, total=total, data=data) + return + raise ImageGenerationError("No image result found in response") + + +def _generate_single_image( + request: ConversationRequest, + index: int, + total: int, +) -> list[ImageOutput]: + """为单张图片执行生成逻辑（含重试），返回结果列表。 + + 该函数在独立线程中运行，每个线程使用不同的账号， + 实现并行生图，避免串行超时阻塞。 + """ + # 模型返回文本而非图片的最大重试次数 + MAX_TEXT_REPLY_RETRIES = 3 + # TLS 连接错误最大重试次数 + MAX_TLS_RETRIES = 3 + # 连接超时错误最大重试次数（同账号短等待重试） + MAX_CONN_TIMEOUT_RETRIES = 3 + # 轮询超时错误最大重试次数（换账号重试） + MAX_POLL_TIMEOUT_RETRIES = 4 + + text_reply_retry_count = 0 + tls_retry_count = 0 + conn_timeout_retry_count = 0 + poll_timeout_retry_count = 0 + account_email = "" + + while True: + try: + if request.progress_callback: + request.progress_callback("getting_account") + plan_type, _ = split_image_model(request.model) + codex_model = is_codex_image_model(request.model) + token = account_service.get_available_access_token( + plan_type=plan_type, + source_type="codex" if codex_model else None, + plan_types=("plus", "team", "pro") if codex_model and not plan_type else None, + ) + except RuntimeError as exc: + raise ImageGenerationError(str(exc) or "image generation failed", account_email=account_email) from exc + + emitted_for_token = False + returned_message = False + returned_result = False + account = account_service.get_account(token) or {} + account_email = str(account.get("email") or "").strip() + logger.debug({ + "event": "image_account_lookup", + "token_prefix": token[:12] + "..." if len(token) > 12 else token, + "account_email": account_email, + "account_found": bool(account), + "index": index, + }) + try: + backend = OpenAIBackendAPI(access_token=token) + if request.progress_callback: + backend.progress_callback = request.progress_callback + stream_fn = stream_codex_image_outputs if is_codex_image_model(request.model) else stream_image_outputs + outputs: list[ImageOutput] = [] + for output in stream_fn(backend, request, index, total): + if account_email and not output.account_email: + output.account_email = account_email + if output.kind == "message" and request.message_as_error: + raise ImageGenerationError( + output.text or "Image generation was rejected by upstream policy.", + status_code=400, + error_type="invalid_request_error", + code="content_policy_violation", + account_email=account_email, + conversation_id=output.conversation_id, + ) + emitted_for_token = True + returned_message = output.kind == "message" + returned_result = returned_result or output.kind == "result" + outputs.append(output) + if returned_message: + account_service.mark_image_result(token, False) + return outputs + if not returned_result: + account_service.mark_image_result(token, False) + if emitted_for_token: + conv_id = outputs[-1].conversation_id if outputs else "" + raise ImageGenerationError( + "upstream completed without generating images", + status_code=400, + error_type="invalid_request_error", + code="no_image_generated", + account_email=account_email, + conversation_id=conv_id, + ) + return outputs + account_service.mark_image_result(token, True) + return outputs + except ImagePollTimeoutError as exc: + account_service.mark_image_result(token, False) + if account_email: + setattr(exc, "account_email", account_email) + # 轮询超时：换账号重试 + if not emitted_for_token: + poll_timeout_retry_count += 1 + if poll_timeout_retry_count <= MAX_POLL_TIMEOUT_RETRIES: + logger.warning({ + "event": "image_poll_timeout_retry", + "request_token": token, + "account_email": account_email, + "retry_count": poll_timeout_retry_count, + "index": index, + "error": str(exc)[:200], + }) + continue + logger.warning({ + "event": "image_poll_timeout_exhausted_retries", + "request_token": token, + "account_email": account_email, + "retry_count": poll_timeout_retry_count, + "index": index, + }) + raise + raise + except ImageContentPolicyError as exc: + account_service.mark_image_result(token, False) + logger.warning({ + "event": "image_stream_content_policy_error", + "request_token": token, + "account_email": account_email, + "error": str(exc), + "index": index, + }) + raise ImageGenerationError( + str(exc) or "Image generation was rejected by upstream policy.", + status_code=400, + error_type="invalid_request_error", + code="content_policy_violation", + account_email=account_email, + conversation_id=getattr(exc, "conversation_id", ""), + ) from exc + except ImageGenerationError as exc: + account_service.mark_image_result(token, False) + if account_email and not getattr(exc, "account_email", ""): + exc.account_email = account_email + error_text = str(exc) + # 如果是模型返回文本而非图片，尝试换账号重试 + if is_model_text_reply_instead_of_image(error_text) and not emitted_for_token: + text_reply_retry_count += 1 + if text_reply_retry_count <= MAX_TEXT_REPLY_RETRIES: + logger.warning({ + "event": "image_model_text_reply_retry", + "request_token": token, + "account_email": account_email, + "retry_count": text_reply_retry_count, + "index": index, + "error": error_text[:200], + }) + continue + logger.warning({ + "event": "image_model_text_reply_exhausted_retries", + "request_token": token, + "account_email": account_email, + "retry_count": text_reply_retry_count, + "index": index, + }) + raise ImageGenerationError( + "Image generation failed: the upstream model returned a text description " + "instead of generating an image. Please try again later.", + status_code=502, + error_type="server_error", + code="upstream_text_reply", + account_email=account_email, + conversation_id=getattr(exc, "conversation_id", ""), + ) from exc + logger.warning({ + "event": "image_stream_generation_error", + "request_token": token, + "account_email": account_email, + "error": error_text, + "index": index, + }) + raise + except Exception as exc: + account_service.mark_image_result(token, False) + last_error = str(exc) + logger.warning({ + "event": "image_stream_fail", + "request_token": token, + "account_email": account_email, + "error": last_error, + "index": index, + }) + if not emitted_for_token and is_token_invalid_error(last_error): + refreshed_token = account_service.refresh_access_token(token, force=True, event="image_stream") + if refreshed_token and refreshed_token != token: + token = refreshed_token + continue + account_service.remove_invalid_token(token, "image_stream") + continue + # TLS/SSL 连接错误：自动重试 + if not emitted_for_token and is_tls_connection_error(last_error): + tls_retry_count += 1 + if tls_retry_count <= MAX_TLS_RETRIES: + logger.warning({ + "event": "image_stream_tls_retry", + "request_token": token, + "account_email": account_email, + "retry_count": tls_retry_count, + "index": index, + "error": last_error[:200], + }) + time.sleep(min(2.0 * tls_retry_count, 10.0)) + continue + # 连接超时错误（curl 28）：同账号短等待重试，不切换账号 + if not emitted_for_token and is_connection_timeout_error(last_error): + conn_timeout_retry_count += 1 + if conn_timeout_retry_count <= MAX_CONN_TIMEOUT_RETRIES: + wait_secs = min(3.0 * conn_timeout_retry_count, 9.0) + logger.warning({ + "event": "image_stream_conn_timeout_retry", + "request_token": token, + "account_email": account_email, + "retry_count": conn_timeout_retry_count, + "index": index, + "wait_secs": wait_secs, + "error": last_error[:200], + }) + time.sleep(wait_secs) + continue + raise ImageGenerationError(image_stream_error_message(last_error), account_email=account_email, conversation_id="") from exc + + +def stream_image_outputs_with_pool(request: ConversationRequest) -> Iterator[ImageOutput]: + """并行生成多张图片，每张图片使用独立线程和账号，互不阻塞。""" + if not is_supported_image_model(request.model): + raise ImageGenerationError("unsupported image model,supported models: " + ", ".join(sorted(IMAGE_MODELS))) + + if request.n <= 1: + # 单张图片，直接执行（无需线程池开销） + outputs = _generate_single_image(request, 1, 1) + for output in outputs: + yield output + return + + # 多张图片：根据配置选择并行或串行执行 + if not config.image_parallel_generation: + logger.info({ + "event": "image_serial_generation_start", + "n": request.n, + "model": request.model, + }) + for index in range(1, request.n + 1): + outputs = _generate_single_image(request, index, request.n) + for output in outputs: + yield output + return + + logger.info({ + "event": "image_parallel_generation_start", + "n": request.n, + "model": request.model, + }) + # 每张图片一个线程，同时启动 + futures = {} + results: dict[int, list[ImageOutput]] = {} + errors: dict[int, Exception] = {} + with ThreadPoolExecutor(max_workers=request.n) as executor: + for index in range(1, request.n + 1): + future = executor.submit(_generate_single_image, request, index, request.n) + futures[future] = index + + # 按完成顺序收集结果 + for future in as_completed(futures): + index = futures[future] + try: + results[index] = future.result() + except Exception as exc: + errors[index] = exc + logger.warning({ + "event": "image_parallel_generation_error", + "index": index, + "error": str(exc)[:300], + }) + + # yield 结果：跳过索引顺序限制，不再让低索引失败阻塞高索引成功结果 + emitted = False + last_error = "" + # 先 yield 所有成功的结果 + for index in range(1, request.n + 1): + if index in results: + for output in results[index]: + emitted = True + yield output + elif index in errors: + last_error = str(errors[index]) + if not emitted: + logger.warning({ + "event": "image_parallel_failure_before_success", + "failed_index": index, + "error": last_error[:200], + }) + + # 如果有失败但也有成功，记录警告 + if emitted: + for index in range(1, request.n + 1): + if index in errors: + logger.warning({ + "event": "image_parallel_partial_failure", + "failed_index": index, + "error": str(errors[index])[:200], + }) + + if not emitted: + if not last_error: + last_error = "no account in the pool could generate images — check account quota and rate-limit status" + raise ImageGenerationError(image_stream_error_message(last_error), conversation_id="") + + +def stream_image_chunks(outputs: Iterable[ImageOutput]) -> Iterator[dict[str, Any]]: + for output in outputs: + yield output.to_chunk() + + +def collect_image_outputs(outputs: Iterable[ImageOutput]) -> dict[str, Any]: + created = None + data: list[dict[str, Any]] = [] + message = "" + progress_parts: list[str] = [] + account_email = "" + for output in outputs: + created = created or output.created + if output.account_email and not account_email: + account_email = output.account_email + if output.kind == "progress" and output.text: + progress_parts.append(output.text) + elif output.kind == "message": + message = output.text + elif output.kind == "result": + data.extend(output.data) + + result: dict[str, Any] = {"created": created or int(time.time()), "data": data} + if not data: + text = message or "".join(progress_parts).strip() + if text: + result["message"] = text + if account_email: + result["_account_email"] = account_email + return result diff --git a/services/protocol/error_response.py b/services/protocol/error_response.py new file mode 100644 index 0000000000000000000000000000000000000000..53fde95356c4e95172225c71e368d31105447c48 --- /dev/null +++ b/services/protocol/error_response.py @@ -0,0 +1,124 @@ +from __future__ import annotations + +from typing import Any + +from fastapi.responses import JSONResponse + + +def _message_from_value(value: object) -> str: + if isinstance(value, str): + return value + if not isinstance(value, dict): + return "" + message = value.get("message") + if isinstance(message, str) and message: + return message + return _message_from_value(value.get("error")) + + +def error_message_from_detail(detail: object) -> str: + if isinstance(detail, list): + messages = [] + for item in detail: + if not isinstance(item, dict): + continue + location = ".".join(str(part) for part in item.get("loc", []) if part != "body") + message = str(item.get("msg") or "").strip() + if location and message: + messages.append(f"{location}: {message}") + elif message: + messages.append(message) + return "; ".join(messages) + if isinstance(detail, dict): + message = _message_from_value(detail.get("error")) or _message_from_value(detail) + if message: + return message + return str(detail or "").strip() + + +def _default_error_type(status_code: int) -> str: + if status_code == 401: + return "authentication_error" + if status_code == 403: + return "permission_error" + if status_code == 429: + return "rate_limit_error" + if 400 <= status_code < 500: + return "invalid_request_error" + return "server_error" + + +def _default_error_code(status_code: int) -> str: + if status_code == 401: + return "invalid_api_key" + if status_code == 403: + return "permission_denied" + if status_code == 429: + return "rate_limit_exceeded" + if 400 <= status_code < 500: + return "bad_request" + return "upstream_error" + + +def openai_error_payload( + detail: object, + status_code: int, + *, + error_type: str | None = None, + code: object | None = None, + param: object | None = None, +) -> dict[str, Any]: + error_detail = detail.get("error") if isinstance(detail, dict) else None + if isinstance(error_detail, dict): + return { + "error": { + "message": error_message_from_detail(error_detail) or "request failed", + "type": str(error_detail.get("type") or error_type or _default_error_type(status_code)), + "param": error_detail.get("param", param), + "code": error_detail.get("code", code if code is not None else _default_error_code(status_code)), + } + } + return { + "error": { + "message": error_message_from_detail(detail) or "request failed", + "type": error_type or _default_error_type(status_code), + "param": param, + "code": code if code is not None else _default_error_code(status_code), + } + } + + +def openai_error_response( + detail: object, + status_code: int, + *, + headers: dict[str, str] | None = None, + error_type: str | None = None, + code: object | None = None, + param: object | None = None, +) -> JSONResponse: + return JSONResponse( + status_code=status_code, + content=openai_error_payload(detail, status_code, error_type=error_type, code=code, param=param), + headers=headers, + ) + + +def anthropic_error_response( + detail: object, + status_code: int, + *, + headers: dict[str, str] | None = None, +) -> JSONResponse: + error_type = "api_error" if status_code >= 500 else _default_error_type(status_code) + return JSONResponse( + status_code=status_code, + content={ + "type": "error", + "error": { + "type": error_type, + "message": error_message_from_detail(detail) or "request failed", + }, + }, + headers=headers, + ) diff --git a/services/protocol/openai_search.py b/services/protocol/openai_search.py new file mode 100644 index 0000000000000000000000000000000000000000..aa9f484200b5be0b4ddb96e835b2f5ed7db87226 --- /dev/null +++ b/services/protocol/openai_search.py @@ -0,0 +1,15 @@ +from __future__ import annotations + +from services.account_service import account_service +from services.openai_backend_api import OpenAIBackendAPI, SEARCH_MODEL + +MODEL = SEARCH_MODEL + + +def handle(body: dict[str, object]) -> dict[str, object]: + token = account_service.get_text_access_token() + account = account_service.get_account(token) or {} + result = OpenAIBackendAPI(token).search(str(body["prompt"])) + account_service.mark_text_used(token) + result["_account_email"] = str(account.get("email") or "") + return result diff --git a/services/protocol/openai_v1_chat_complete.py b/services/protocol/openai_v1_chat_complete.py new file mode 100644 index 0000000000000000000000000000000000000000..f7ca73f0228e089f874be27930d18af59b094b14 --- /dev/null +++ b/services/protocol/openai_v1_chat_complete.py @@ -0,0 +1,231 @@ +from __future__ import annotations + +import time +import uuid +from typing import Any, Iterable, Iterator + +from fastapi import HTTPException + +from services.protocol.chat_completion_cache import cache_key, chat_completion_cache, normalize_text_messages +from services.protocol.conversation import ( + ConversationRequest, + ImageOutput, + collect_image_outputs, + collect_text, + count_message_image_tokens, + count_message_text_tokens, + count_text_tokens, + encode_images, + normalize_messages, + stream_image_outputs_with_pool, + stream_text_deltas, + text_backend, +) +from utils.helper import build_chat_image_markdown_content, extract_chat_image, extract_chat_prompt, is_image_chat_request, parse_image_count +from utils.image_tokens import ( + chat_usage_from_image_usage, + count_image_inputs_tokens, + count_image_output_items_tokens, + image_usage, +) + +TOOL_UNAVAILABLE_SYSTEM_MESSAGE = ( + "This compatibility backend cannot execute local tools, shell commands, web searches, " + "or file operations. Do not claim to have run tools or inspected external resources. " + "If a user asks you to use a tool, say that tool execution is unavailable through this backend." +) + + +def completion_chunk(model: str, delta: dict[str, Any], finish_reason: str | None = None, completion_id: str = "", created: int | None = None) -> dict[str, Any]: + return { + "id": completion_id or f"chatcmpl-{uuid.uuid4().hex}", + "object": "chat.completion.chunk", + "created": created or int(time.time()), + "model": model, + "choices": [{"index": 0, "delta": delta, "finish_reason": finish_reason}], + } + + +def completion_response( + model: str, + content: str, + created: int | None = None, + messages: list[dict[str, Any]] | None = None, +) -> dict[str, Any]: + prompt_text_tokens = count_message_text_tokens(messages, model) if messages else 0 + prompt_image_tokens = count_message_image_tokens(messages, model) if messages else 0 + prompt_tokens = prompt_text_tokens + prompt_image_tokens + completion_tokens = count_text_tokens(content, model) if messages else 0 + return { + "id": f"chatcmpl-{uuid.uuid4().hex}", + "object": "chat.completion", + "created": created or int(time.time()), + "model": model, + "choices": [{ + "index": 0, + "message": {"role": "assistant", "content": content}, + "finish_reason": "stop", + }], + "usage": { + "prompt_tokens": prompt_tokens, + "completion_tokens": completion_tokens, + "total_tokens": prompt_tokens + completion_tokens, + "prompt_tokens_details": { + "text_tokens": prompt_text_tokens, + "image_tokens": prompt_image_tokens, + "cached_tokens": 0, + }, + "completion_tokens_details": { + "text_tokens": completion_tokens, + "image_tokens": 0, + "reasoning_tokens": 0, + }, + }, + } + + +def stream_text_chat_completion(backend, messages: list[dict[str, Any]], model: str) -> Iterator[dict[str, Any]]: + completion_id = f"chatcmpl-{uuid.uuid4().hex}" + created = int(time.time()) + sent_role = False + request = ConversationRequest(model=model, messages=messages) + for delta_text in stream_text_deltas(backend, request): + if not sent_role: + sent_role = True + yield completion_chunk(model, {"role": "assistant", "content": delta_text}, None, completion_id, created) + else: + yield completion_chunk(model, {"content": delta_text}, None, completion_id, created) + if not sent_role: + yield completion_chunk(model, {"role": "assistant", "content": ""}, None, completion_id, created) + yield completion_chunk(model, {}, "stop", completion_id, created) + + +def collect_chat_content(chunks: Iterable[dict[str, Any]]) -> str: + parts: list[str] = [] + for chunk in chunks: + choices = chunk.get("choices") + first = choices[0] if isinstance(choices, list) and choices and isinstance(choices[0], dict) else {} + delta = first.get("delta") if isinstance(first.get("delta"), dict) else {} + content = str(delta.get("content") or "") + if content: + parts.append(content) + return "".join(parts) + + +def chat_messages_from_body(body: dict[str, Any]) -> list[dict[str, Any]]: + messages = body.get("messages") + if isinstance(messages, list) and messages: + return [message for message in messages if isinstance(message, dict)] + prompt = str(body.get("prompt") or "").strip() + if prompt: + return [{"role": "user", "content": prompt}] + raise HTTPException(status_code=400, detail={"error": "messages or prompt is required"}) + + +def chat_image_args(body: dict[str, Any]) -> tuple[str, str, int, list[tuple[bytes, str, str]]]: + model = str(body.get("model") or "gpt-image-2").strip() or "gpt-image-2" + prompt = extract_chat_prompt(body) + if not prompt: + raise HTTPException(status_code=400, detail={"error": "prompt is required"}) + images = [ + (data, f"image_{idx}.png", mime) + for idx, (data, mime) in enumerate(extract_chat_image(body), start=1) + ] + return model, prompt, parse_image_count(body.get("n")), images + + +def text_chat_parts(body: dict[str, Any]) -> tuple[str, list[dict[str, Any]]]: + model = str(body.get("model") or "auto").strip() or "auto" + messages = normalize_text_messages(normalize_messages(chat_messages_from_body(body))) + tools = body.get("tools") + if isinstance(tools, list) and tools: + messages.insert(0, {"role": "system", "content": TOOL_UNAVAILABLE_SYSTEM_MESSAGE}) + return model, messages + + +def image_result_content(result: dict[str, Any]) -> str: + data = result.get("data") + if isinstance(data, list) and data: + return build_chat_image_markdown_content(result) + return str(result.get("message") or "Image generation completed.") + + +def image_chat_response(body: dict[str, Any]) -> dict[str, Any]: + model, prompt, n, images = chat_image_args(body) + result = collect_image_outputs(stream_image_outputs_with_pool(ConversationRequest( + prompt=prompt, + model=model, + n=n, + response_format="b64_json", + images=encode_images(images) or None, + ))) + response = completion_response(model, image_result_content(result), int(result.get("created") or 0) or None) + usage = image_usage( + input_text_tokens=count_text_tokens(prompt, model), + input_image_tokens=count_image_inputs_tokens(images, model), + output_tokens=count_image_output_items_tokens(result.get("data")), + ) + response["usage"] = chat_usage_from_image_usage(usage) + return response + + +def image_chat_events(body: dict[str, Any]) -> Iterator[dict[str, Any]]: + model, prompt, n, images = chat_image_args(body) + image_outputs = stream_image_outputs_with_pool(ConversationRequest( + prompt=prompt, + model=model, + n=n, + response_format="b64_json", + images=encode_images(images) or None, + )) + yield from stream_image_chat_completion(image_outputs, model) + + +def stream_image_chat_completion(image_outputs: Iterable[ImageOutput], model: str) -> Iterator[dict[str, Any]]: + completion_id = f"chatcmpl-{uuid.uuid4().hex}" + created = int(time.time()) + sent_role = False + sent_text = "" + for output in image_outputs: + content = "" + if output.kind == "progress": + content = output.text + sent_text += content + elif output.kind == "result": + content = build_chat_image_markdown_content({"data": output.data}) + elif output.kind == "message": + content = output.text[len(sent_text):] if output.text.startswith(sent_text) else output.text + if not content: + continue + if not sent_role: + sent_role = True + yield completion_chunk(model, {"role": "assistant", "content": content}, None, completion_id, created) + else: + yield completion_chunk(model, {"content": content}, None, completion_id, created) + if not sent_role: + yield completion_chunk(model, {"role": "assistant", "content": ""}, None, completion_id, created) + yield completion_chunk(model, {}, "stop", completion_id, created) + + +def handle(body: dict[str, Any]) -> dict[str, Any] | Iterator[dict[str, Any]]: + if body.get("stream"): + if is_image_chat_request(body): + return image_chat_events(body) + model, messages = text_chat_parts(body) + key = cache_key(body, messages, stream=True) + return chat_completion_cache.get_or_compute_stream( + key, + lambda: stream_text_chat_completion(text_backend(), messages, model), + ) + if is_image_chat_request(body): + return image_chat_response(body) + model, messages = text_chat_parts(body) + key = cache_key(body, messages, stream=False) + return chat_completion_cache.get_or_compute_response( + key, + lambda: completion_response( + model, + collect_text(text_backend(), ConversationRequest(model=model, messages=messages)), + messages=messages, + ), + ) diff --git a/services/protocol/openai_v1_image_edit.py b/services/protocol/openai_v1_image_edit.py new file mode 100644 index 0000000000000000000000000000000000000000..8555d82735a530217eca2bdbd803add5b89235f5 --- /dev/null +++ b/services/protocol/openai_v1_image_edit.py @@ -0,0 +1,50 @@ +from __future__ import annotations + +from typing import Any, Iterator + +from services.protocol.conversation import ( + ConversationRequest, + ImageGenerationError, + collect_image_outputs, + count_text_tokens, + encode_images, + stream_image_chunks, + stream_image_outputs_with_pool, +) +from utils.image_tokens import count_image_inputs_tokens, count_image_output_items_tokens, image_usage + + +def handle(body: dict[str, Any]) -> dict[str, Any] | Iterator[dict[str, Any]]: + prompt = str(body.get("prompt") or "") + images = body.get("images") or [] + model = str(body.get("model") or "gpt-image-2") + n = int(body.get("n") or 1) + size = body.get("size") + quality = str(body.get("quality") or "auto") + response_format = str(body.get("response_format") or "b64_json") + base_url = str(body.get("base_url") or "") or None + progress_callback = body.get("progress_callback") + encoded_images = encode_images(images) + if not encoded_images: + raise ImageGenerationError("image is required") + outputs = stream_image_outputs_with_pool(ConversationRequest( + prompt=prompt, + model=model, + n=n, + size=size, + quality=quality, + response_format=response_format, + base_url=base_url, + images=encoded_images, + message_as_error=True, + progress_callback=progress_callback, + )) + if body.get("stream"): + return stream_image_chunks(outputs) + result = collect_image_outputs(outputs) + result["usage"] = image_usage( + input_text_tokens=count_text_tokens(prompt, model), + input_image_tokens=count_image_inputs_tokens(images, model), + output_tokens=count_image_output_items_tokens(result.get("data"), size, quality), + ) + return result diff --git a/services/protocol/openai_v1_image_generations.py b/services/protocol/openai_v1_image_generations.py new file mode 100644 index 0000000000000000000000000000000000000000..a14c9f37aca52af708eeabe48d479ad1da1b6d1f --- /dev/null +++ b/services/protocol/openai_v1_image_generations.py @@ -0,0 +1,42 @@ +from __future__ import annotations + +from typing import Any, Iterator + +from services.protocol.conversation import ( + ConversationRequest, + collect_image_outputs, + count_text_tokens, + stream_image_chunks, + stream_image_outputs_with_pool, +) +from utils.image_tokens import count_image_output_items_tokens, image_usage + + +def handle(body: dict[str, Any]) -> dict[str, Any] | Iterator[dict[str, Any]]: + prompt = str(body.get("prompt") or "") + model = str(body.get("model") or "gpt-image-2") + n = int(body.get("n") or 1) + size = body.get("size") + quality = str(body.get("quality") or "auto") + response_format = str(body.get("response_format") or "b64_json") + base_url = str(body.get("base_url") or "") or None + progress_callback = body.get("progress_callback") + outputs = stream_image_outputs_with_pool(ConversationRequest( + prompt=prompt, + model=model, + n=n, + size=size, + quality=quality, + response_format=response_format, + base_url=base_url, + message_as_error=True, + progress_callback=progress_callback, + )) + if body.get("stream"): + return stream_image_chunks(outputs) + result = collect_image_outputs(outputs) + result["usage"] = image_usage( + input_text_tokens=count_text_tokens(prompt, model), + output_tokens=count_image_output_items_tokens(result.get("data"), size, quality), + ) + return result diff --git a/services/protocol/openai_v1_models.py b/services/protocol/openai_v1_models.py new file mode 100644 index 0000000000000000000000000000000000000000..07fadab500a189fae5e1b3e4be5c727cddafb7ca --- /dev/null +++ b/services/protocol/openai_v1_models.py @@ -0,0 +1,53 @@ +from __future__ import annotations + +from typing import Any + +from services.account_service import account_service +from services.openai_backend_api import OpenAIBackendAPI +from utils.helper import CODEX_IMAGE_MODEL + + +def list_models() -> dict[str, Any]: + result = OpenAIBackendAPI().list_models() + data = result.get("data") + if not isinstance(data, list): + return result + seen = {str(item.get("id") or "").strip() for item in data if isinstance(item, dict)} + dynamic_models: set[str] = set() + accounts = account_service.list_accounts() + web_image_accounts = [ + account + for account in accounts + if isinstance(account, dict) + ] + codex_types = { + normalized + for account in accounts + if isinstance(account, dict) + and account_service._normalize_source_type(account.get("source_type")) == "codex" + and (normalized := account_service._normalize_account_type(account.get("type"))) + } + + if web_image_accounts: + dynamic_models.add("gpt-image-2") + if codex_types & {"Plus", "Team", "Pro"}: + dynamic_models.add(CODEX_IMAGE_MODEL) + if "Plus" in codex_types: + dynamic_models.add(f"plus-{CODEX_IMAGE_MODEL}") + if "Team" in codex_types: + dynamic_models.add(f"team-{CODEX_IMAGE_MODEL}") + if "Pro" in codex_types: + dynamic_models.add(f"pro-{CODEX_IMAGE_MODEL}") + + for model in sorted(dynamic_models): + if model not in seen: + data.append({ + "id": model, + "object": "model", + "created": 0, + "owned_by": "chatgpt2api", + "permission": [], + "root": model, + "parent": None, + }) + return result diff --git a/services/protocol/openai_v1_response.py b/services/protocol/openai_v1_response.py new file mode 100644 index 0000000000000000000000000000000000000000..f6b715b4abb543035eea4e375ed612f261abaebc --- /dev/null +++ b/services/protocol/openai_v1_response.py @@ -0,0 +1,356 @@ +from __future__ import annotations + +import time +import uuid +from typing import Any, Iterable, Iterator + +from fastapi import HTTPException + +from services.protocol.chat_completion_cache import cache_key, chat_completion_cache, normalize_text_messages +from services.protocol.conversation import ( + ConversationRequest, + ImageOutput, + count_message_image_tokens, + count_message_text_tokens, + count_text_tokens, + encode_images, + normalize_messages, + stream_image_outputs_with_pool, + stream_text_deltas, + text_backend, +) +from utils.helper import extract_image_from_message_content, extract_response_prompt, has_response_image_generation_tool +from utils.image_tokens import ( + count_image_content_tokens, + count_image_output_items_tokens, + image_usage, + token_usage, +) + +TOOL_UNAVAILABLE_SYSTEM_MESSAGE = ( + "This compatibility backend cannot execute local tools, shell commands, web searches, " + "or file operations. Do not claim to have run tools or inspected external resources. " + "If a user asks you to use a tool, say that tool execution is unavailable through this backend." +) + +RESPONSE_CONTENT_PART_TYPES = {"text", "input_text", "output_text", "image_url", "input_image", "image"} + + +def is_text_response_request(body: dict[str, Any]) -> bool: + return not has_response_image_generation_tool(body) + + +def has_non_image_tools(body: dict[str, Any]) -> bool: + tools = body.get("tools") + if not isinstance(tools, list): + return False + return any( + isinstance(tool, dict) and str(tool.get("type") or "").strip() != "image_generation" + for tool in tools + ) + + +def response_image_tool(body: dict[str, Any]) -> dict[str, object]: + for tool in body.get("tools") or []: + if isinstance(tool, dict) and tool.get("type") == "image_generation": + return tool + return {} + + +def extract_response_image(input_value: object) -> tuple[bytes, str] | None: + if isinstance(input_value, dict): + if str(input_value.get("type") or "").strip() == "input_image": + images = extract_image_from_message_content([input_value]) + return images[0] if images else None + images = extract_image_from_message_content(input_value.get("content")) + return images[0] if images else None + if not isinstance(input_value, list): + return None + for item in reversed(input_value): + if isinstance(item, dict): + if str(item.get("type") or "").strip() == "input_image": + images = extract_image_from_message_content([item]) + if images: + return images[0] + images = extract_image_from_message_content(item.get("content")) + if images: + return images[0] + return None + + +def _input_image_parts(input_value: object) -> list[dict[str, Any]]: + parts: list[dict[str, Any]] = [] + if isinstance(input_value, dict): + content = input_value.get("content") + if isinstance(content, list): + parts.extend(item for item in content if isinstance(item, dict)) + return parts + if not isinstance(input_value, list): + return parts + if all(isinstance(item, dict) and item.get("type") for item in input_value): + return [item for item in input_value if isinstance(item, dict)] + for item in input_value: + if isinstance(item, dict): + content = item.get("content") + if isinstance(content, list): + parts.extend(part for part in content if isinstance(part, dict)) + return parts + + +def _is_response_content_part(value: object) -> bool: + if not isinstance(value, dict): + return False + part_type = str(value.get("type") or "").strip() + return part_type in RESPONSE_CONTENT_PART_TYPES or ("image_url" in value and part_type != "message") + + +def _message_content_from_response_item(item: dict[str, Any]) -> object: + content = item.get("content") + if isinstance(content, list): + return [dict(part) if isinstance(part, dict) else part for part in content] + if isinstance(content, str): + return content + return extract_response_prompt([item]) or content or "" + + +def _append_response_message(messages: list[dict[str, Any]], role: object, content: object) -> None: + if isinstance(content, str): + if content.strip(): + messages.append({"role": str(role or "user"), "content": content.strip()}) + return + if isinstance(content, list) and content: + messages.append({"role": str(role or "user"), "content": content}) + + +def messages_from_input(input_value: object, instructions: object = None) -> list[dict[str, Any]]: + messages: list[dict[str, Any]] = [] + system_text = str(instructions or "").strip() + if system_text: + messages.append({"role": "system", "content": system_text}) + if isinstance(input_value, str): + if input_value.strip(): + messages.append({"role": "user", "content": input_value.strip()}) + return messages + if isinstance(input_value, dict): + if _is_response_content_part(input_value): + _append_response_message(messages, "user", [dict(input_value)]) + return messages + _append_response_message( + messages, + input_value.get("role") or "user", + _message_content_from_response_item(input_value), + ) + return messages + if isinstance(input_value, list): + if all(_is_response_content_part(item) for item in input_value): + _append_response_message(messages, "user", [dict(item) for item in input_value if isinstance(item, dict)]) + return messages + pending_parts: list[dict[str, Any]] = [] + for item in input_value: + if _is_response_content_part(item): + pending_parts.append(dict(item)) + continue + if pending_parts: + _append_response_message(messages, "user", pending_parts) + pending_parts = [] + if not isinstance(item, dict): + continue + _append_response_message( + messages, + item.get("role") or "user", + _message_content_from_response_item(item), + ) + if pending_parts: + _append_response_message(messages, "user", pending_parts) + return messages + + +def text_output_item(text: str, item_id: str | None = None, status: str = "completed") -> dict[str, Any]: + return { + "id": item_id or f"msg_{uuid.uuid4().hex}", + "type": "message", + "status": status, + "role": "assistant", + "content": [{"type": "output_text", "text": text, "annotations": []}], + } + + +def image_output_items(prompt: str, data: list[dict[str, Any]], item_id: str | None = None) -> list[dict[str, Any]]: + output = [] + for item in data: + b64_json = str(item.get("b64_json") or "").strip() + if b64_json: + output.append({ + "id": item_id or f"ig_{len(output) + 1}", + "type": "image_generation_call", + "status": "completed", + "result": b64_json, + "revised_prompt": str(item.get("revised_prompt") or prompt).strip() or prompt, + }) + return output + + +def response_created(response_id: str, model: str, created: int) -> dict[str, Any]: + return { + "type": "response.created", + "response": { + "id": response_id, + "object": "response", + "created_at": created, + "status": "in_progress", + "error": None, + "incomplete_details": None, + "model": model, + "output": [], + "parallel_tool_calls": False, + }, + } + + +def response_completed( + response_id: str, + model: str, + created: int, + output: list[dict[str, Any]], + usage: dict[str, Any] | None = None, +) -> dict[str, Any]: + response = { + "type": "response.completed", + "response": { + "id": response_id, + "object": "response", + "created_at": created, + "status": "completed", + "error": None, + "incomplete_details": None, + "model": model, + "output": output, + "parallel_tool_calls": False, + }, + } + if usage: + response["response"]["usage"] = usage + return response + + +def text_response_parts(body: dict[str, Any]) -> tuple[str, list[dict[str, Any]]]: + model = str(body.get("model") or "auto").strip() or "auto" + messages = normalize_text_messages(normalize_messages(messages_from_input(body.get("input"), body.get("instructions")))) + if has_non_image_tools(body): + messages.insert(0, {"role": "system", "content": TOOL_UNAVAILABLE_SYSTEM_MESSAGE}) + return model, messages + + +def stream_text_response(backend, body: dict[str, Any], messages: list[dict[str, Any]] | None = None) -> Iterator[dict[str, Any]]: + model = str(body.get("model") or "auto").strip() or "auto" + messages = messages if messages is not None else messages_from_input(body.get("input"), body.get("instructions")) + response_id = f"resp_{uuid.uuid4().hex}" + item_id = f"msg_{uuid.uuid4().hex}" + created = int(time.time()) + full_text = "" + yield response_created(response_id, model, created) + yield {"type": "response.output_item.added", "output_index": 0, "item": text_output_item("", item_id, "in_progress")} + request = ConversationRequest(model=model, messages=messages) + for delta in stream_text_deltas(backend, request): + full_text += delta + yield {"type": "response.output_text.delta", "item_id": item_id, "output_index": 0, "content_index": 0, "delta": delta} + yield {"type": "response.output_text.done", "item_id": item_id, "output_index": 0, "content_index": 0, "text": full_text} + item = text_output_item(full_text, item_id, "completed") + yield {"type": "response.output_item.done", "output_index": 0, "item": item} + usage = token_usage( + input_text_tokens=count_message_text_tokens(messages, model), + input_image_tokens=count_message_image_tokens(messages, model), + output_text_tokens=count_text_tokens(full_text, model), + ) + yield response_completed(response_id, model, created, [item], usage) + + +def stream_image_response( + image_outputs: Iterable[ImageOutput], + prompt: str, + model: str, + input_image_tokens: int = 0, + size: object = None, + quality: str = "auto", +) -> Iterator[dict[str, Any]]: + response_id = f"resp_{uuid.uuid4().hex}" + created = int(time.time()) + yield response_created(response_id, model, created) + for output in image_outputs: + if output.kind == "message": + text = output.text + item = text_output_item(text) + usage = token_usage( + input_text_tokens=count_text_tokens(prompt, model), + input_image_tokens=input_image_tokens, + output_text_tokens=count_text_tokens(text, model), + ) + yield {"type": "response.output_text.delta", "item_id": item["id"], "output_index": 0, "content_index": 0, "delta": text} + yield {"type": "response.output_text.done", "item_id": item["id"], "output_index": 0, "content_index": 0, "text": text} + yield {"type": "response.output_item.done", "output_index": 0, "item": item} + yield response_completed(response_id, model, created, [item], usage) + return + if output.kind != "result": + continue + items = image_output_items(prompt, output.data) + if items: + usage = image_usage( + input_text_tokens=count_text_tokens(prompt, model), + input_image_tokens=input_image_tokens, + output_tokens=count_image_output_items_tokens(output.data, size, quality), + ) + for output_index, item in enumerate(items): + yield {"type": "response.output_item.done", "output_index": output_index, "item": item} + yield response_completed(response_id, model, created, items, usage) + return + raise RuntimeError("image generation failed") + + +def collect_response(events: Iterable[dict[str, Any]]) -> dict[str, Any]: + completed = {} + for event in events: + if event.get("type") == "response.completed": + completed = event.get("response") if isinstance(event.get("response"), dict) else {} + if not completed: + raise RuntimeError("response generation failed") + return completed + + +def response_events(body: dict[str, Any]) -> Iterator[dict[str, Any]]: + if is_text_response_request(body): + model, messages = text_response_parts(body) + key = cache_key(body, messages, stream=bool(body.get("stream"))) + yield from chat_completion_cache.get_or_compute_stream( + key, + lambda: stream_text_response(text_backend(), body, messages), + ) + return + + prompt = extract_response_prompt(body.get("input")) + if not prompt: + raise HTTPException(status_code=400, detail={"error": "input text is required"}) + model = str(body.get("model") or "gpt-image-2").strip() or "gpt-image-2" + image_info = extract_response_image(body.get("input")) + if image_info: + image_data, mime_type = image_info + images = encode_images([(image_data, "image.png", mime_type)]) + else: + images = None + input_image_tokens = count_image_content_tokens(_input_image_parts(body.get("input")), model) + tool = response_image_tool(body) + image_outputs = stream_image_outputs_with_pool(ConversationRequest( + prompt=prompt, + model=model, + size=tool.get("size"), + quality=str(tool.get("quality") or "auto"), + response_format="b64_json", + images=images, + )) + yield from stream_image_response(image_outputs, prompt, model, input_image_tokens, tool.get("size"), str(tool.get("quality") or "auto")) + + +def handle(body: dict[str, Any]) -> dict[str, Any] | Iterator[dict[str, Any]]: + events = response_events(body) + if body.get("stream"): + return events + return collect_response(events) diff --git a/services/proxy_service.py b/services/proxy_service.py new file mode 100644 index 0000000000000000000000000000000000000000..b851c66f4abffc54976bc4a48b64a159f98d47a2 --- /dev/null +++ b/services/proxy_service.py @@ -0,0 +1,64 @@ +"""Global outbound proxy helpers for upstream ChatGPT and CPA requests.""" + +from __future__ import annotations + +import time +from urllib.parse import urlparse + +from curl_cffi.requests import Session + +from services.config import config + + +class ProxySettingsStore: + def build_session_kwargs(self, account: dict | None = None, proxy: str = "", **session_kwargs) -> dict[str, object]: + account_proxy = str((account or {}).get("proxy") or "").strip() + proxy = str(proxy or account_proxy or config.get_proxy_settings()).strip() + if proxy: + session_kwargs["proxy"] = proxy + return session_kwargs + + +def _clean(value: object) -> str: + return str(value or "").strip() + + +def _is_valid_proxy_url(url: str) -> bool: + parsed = urlparse(url) + return parsed.scheme in {"http", "https", "socks5", "socks5h"} and bool(parsed.netloc) + + +def test_proxy(url: str, *, timeout: float = 15.0) -> dict: + candidate = _clean(url) + if not candidate: + return {"ok": False, "status": 0, "latency_ms": 0, "error": "proxy url is required"} + if not _is_valid_proxy_url(candidate): + return {"ok": False, "status": 0, "latency_ms": 0, "error": "invalid proxy url"} + session = Session(impersonate="edge101", verify=True, proxy=candidate) + started = time.perf_counter() + try: + response = session.get( + "https://chatgpt.com/api/auth/csrf", + headers={"user-agent": "Mozilla/5.0 (chatgpt2api proxy test)"}, + timeout=timeout, + ) + latency_ms = int((time.perf_counter() - started) * 1000) + return { + "ok": response.status_code < 500, + "status": int(response.status_code), + "latency_ms": latency_ms, + "error": None if response.status_code < 500 else f"HTTP {response.status_code}", + } + except Exception as exc: + latency_ms = int((time.perf_counter() - started) * 1000) + return { + "ok": False, + "status": 0, + "latency_ms": latency_ms, + "error": str(exc) or exc.__class__.__name__, + } + finally: + session.close() + +proxy_settings = ProxySettingsStore() + diff --git a/services/register/__init__.py b/services/register/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/services/register/mail_provider.py b/services/register/mail_provider.py new file mode 100644 index 0000000000000000000000000000000000000000..6b7ea7e62ee676f76b7cea0fc764938c5823cb34 --- /dev/null +++ b/services/register/mail_provider.py @@ -0,0 +1,1025 @@ +from __future__ import annotations + +import hashlib +import json +import random +import re +import string +import time +from datetime import datetime, timezone +from email import message_from_string, policy +from email.utils import parsedate_to_datetime +from threading import Lock +from typing import Any, Callable, TypeVar + +from curl_cffi import requests + + +from services.config import DATA_DIR + +DDG_ALIASES_FILE = DATA_DIR / "ddg_aliases.json" +_ddg_aliases_lock = Lock() + + +def _load_ddg_aliases() -> set[str]: + try: + if DDG_ALIASES_FILE.exists(): + data = json.loads(DDG_ALIASES_FILE.read_text(encoding="utf-8")) + if isinstance(data, list): + return {str(item).strip().lower() for item in data if str(item).strip()} + except Exception: + pass + return set() + + +def _save_ddg_aliases(aliases: set[str]) -> None: + DDG_ALIASES_FILE.parent.mkdir(parents=True, exist_ok=True) + DDG_ALIASES_FILE.write_text(json.dumps(sorted(aliases), ensure_ascii=False, indent=2) + "\n", encoding="utf-8") + + +def _is_ddg_alias_duplicate(address: str) -> bool: + target = str(address or "").strip().lower() + if not target: + return False + with _ddg_aliases_lock: + used = _load_ddg_aliases() + return target in used + + +def _record_ddg_alias(address: str) -> None: + target = str(address or "").strip().lower() + if not target: + return + with _ddg_aliases_lock: + used = _load_ddg_aliases() + used.add(target) + _save_ddg_aliases(used) + + +ResultT = TypeVar("ResultT") +domain_lock = Lock() +provider_lock = Lock() +domain_index = 0 +provider_index = 0 +cloudmail_token_lock = Lock() +cloudmail_token_cache: dict[str, tuple[str, float]] = {} + + +def _config(mail_config: dict) -> dict: + return { + "request_timeout": float(mail_config.get("request_timeout") or 30), + "wait_timeout": float(mail_config.get("wait_timeout") or 30), + "wait_interval": float(mail_config.get("wait_interval") or 2), + "user_agent": str(mail_config.get("user_agent") or "Mozilla/5.0"), + "proxy": str(mail_config.get("proxy") or "").strip(), + } + + +def _random_mailbox_name() -> str: + return f"{''.join(random.choices(string.ascii_lowercase, k=5))}{''.join(random.choices(string.digits, k=random.randint(1, 3)))}{''.join(random.choices(string.ascii_lowercase, k=random.randint(1, 3)))}" + + +def _random_subdomain_label() -> str: + return "".join(random.choices(string.ascii_lowercase + string.digits, k=random.randint(4, 10))) + + +def _next_domain(domains: list[str]) -> str: + global domain_index + domains = [str(item).strip() for item in domains if str(item).strip()] + if not domains: + raise RuntimeError("mail.domain 不能为空") + if len(domains) == 1: + return domains[0] + with domain_lock: + value = domains[domain_index % len(domains)] + domain_index = (domain_index + 1) % len(domains) + return value + + +def _normalize_string_list(value: Any) -> list[str]: + if isinstance(value, list): + return [str(item).strip() for item in value if str(item).strip()] + text = str(value or "").strip() + return [text] if text else [] + + +def _create_session(conf: dict): + proxy = str(conf.get("proxy") or "").strip() + kwargs = {"impersonate": "chrome", "verify": False} + if proxy: + kwargs["proxy"] = proxy + return requests.Session(**kwargs) + + +def _parse_received_at(value: Any) -> datetime | None: + if isinstance(value, (int, float)): + try: + return datetime.fromtimestamp(float(value), tz=timezone.utc) + except Exception: + return None + text = str(value or "").strip() + if not text: + return None + try: + date = datetime.fromisoformat(text[:-1] + "+00:00" if text.endswith("Z") else text) + return date if date.tzinfo else date.replace(tzinfo=timezone.utc) + except Exception: + pass + try: + date = parsedate_to_datetime(text) + return date if date.tzinfo else date.replace(tzinfo=timezone.utc) + except Exception: + return None + + +def _extract_content(data: dict[str, Any]) -> tuple[str, str]: + text_content = str(data.get("text_content") or data.get("text") or data.get("body") or data.get("content") or "") + html_content = str(data.get("html_content") or data.get("html") or data.get("html_body") or data.get("body_html") or "") + if text_content or html_content: + return text_content, html_content + raw = data.get("raw") + if not isinstance(raw, str) or not raw.strip(): + return "", "" + try: + parsed = message_from_string(raw, policy=policy.default) + except Exception: + return raw, "" + plain: list[str] = [] + html: list[str] = [] + for part in parsed.walk() if parsed.is_multipart() else [parsed]: + if part.get_content_maintype() == "multipart": + continue + try: + payload = part.get_content() + except Exception: + payload = "" + if not payload: + continue + if part.get_content_type() == "text/html": + html.append(str(payload)) + else: + plain.append(str(payload)) + return "\n".join(plain).strip(), "\n".join(html).strip() + + +def _extract_text_candidates(value: Any) -> list[str]: + if isinstance(value, str): + return [value] + if isinstance(value, dict): + out: list[str] = [] + for key in ("address", "email", "name", "value"): + if value.get(key): + out.extend(_extract_text_candidates(value.get(key))) + return out + if isinstance(value, list): + out: list[str] = [] + for item in value: + out.extend(_extract_text_candidates(item)) + return out + return [] + + +def _message_matches_email(data: dict[str, Any], email: str) -> bool: + target = str(email or "").strip().lower() + candidates: list[str] = [] + for key in ("to", "mailTo", "receiver", "receivers", "address", "email", "envelope_to"): + if key in data: + candidates.extend(_extract_text_candidates(data.get(key))) + return not target or not candidates or any(target in str(item).strip().lower() for item in candidates if str(item).strip()) + + +def _extract_code(message: dict[str, Any]) -> str | None: + content = f"{message.get('subject', '')}\n{message.get('text_content', '')}\n{message.get('html_content', '')}".strip() + if not content: + return None + match = re.search(r"background-color:\s*#F3F3F3[^>]*>[\s\S]*?(\d{6})[\s\S]*?

", content, re.I) + if match: + return match.group(1) + match = re.search(r"(?:Verification code|code is|代码为|验证码)[:\s]*(\d{6})", content, re.I) + if match and match.group(1) != "177010": + return match.group(1) + for code in re.findall(r">\s*(\d{6})\s*<|(? str: + provider = str(message.get("provider") or "").strip() + mailbox = str(message.get("mailbox") or "").strip() + message_id = str(message.get("message_id") or "").strip() + if message_id: + return f"id:{provider}:{mailbox}:{message_id}" + received_at = message.get("received_at") + received_value = received_at.isoformat() if isinstance(received_at, datetime) else str(received_at or "") + content = "\n".join(str(message.get(key) or "") for key in ("subject", "sender", "text_content", "html_content")) + digest = hashlib.sha256(content.encode("utf-8", errors="replace")).hexdigest() + return f"content:{provider}:{mailbox}:{received_value}:{digest}" + + +class BaseMailProvider: + name = "unknown" + + def __init__(self, conf: dict, provider_ref: str = ""): + self.conf = conf + self.provider_ref = provider_ref + + def wait_for(self, mailbox: dict[str, Any], on_message: Callable[[dict[str, Any]], ResultT | None]) -> ResultT | None: + deadline = time.monotonic() + self.conf["wait_timeout"] + while time.monotonic() < deadline: + message = self.fetch_latest_message(mailbox) + if message: + result = on_message(message) + if result is not None: + return result + time.sleep(max(0.2, self.conf["wait_interval"])) + return None + + def wait_for_code(self, mailbox: dict[str, Any]) -> str | None: + seen_value = mailbox.setdefault("_seen_code_message_refs", []) + if not isinstance(seen_value, list): + seen_value = [] + mailbox["_seen_code_message_refs"] = seen_value + seen_refs = {str(item) for item in seen_value} + + def extract_unseen_code(message: dict[str, Any]) -> str | None: + ref = _message_tracking_ref(message) + if ref in seen_refs: + return None + code = _extract_code(message) + if code: + seen_value.append(ref) + seen_refs.add(ref) + return code + + return self.wait_for(mailbox, extract_unseen_code) + + def close(self) -> None: + pass + + +class CloudflareTempMailProvider(BaseMailProvider): + name = "cloudflare_temp_email" + + def __init__(self, entry: dict, conf: dict): + super().__init__(conf, str(entry.get("provider_ref") or "")) + self.api_base = str(entry["api_base"]).rstrip("/") + self.admin_password = str(entry["admin_password"]).strip() + self.domain = entry.get("domain") or [] + self.session = _create_session(conf) + + def _request(self, method: str, path: str, headers: dict | None = None, params: dict | None = None, payload: dict | None = None, expected: tuple[int, ...] = (200,)): + resp = self.session.request(method.upper(), f"{self.api_base}{path}", headers={"Content-Type": "application/json", "User-Agent": self.conf["user_agent"], **(headers or {})}, params=params, json=payload, timeout=self.conf["request_timeout"], verify=False) + if resp.status_code not in expected: + raise RuntimeError(f"CloudflareTempMail 请求失败: {method} {path}, HTTP {resp.status_code}, body={resp.text[:300]}") + return {} if resp.status_code == 204 else resp.json() + + def create_mailbox(self, username: str | None = None) -> dict[str, Any]: + data = self._request("POST", "/admin/new_address", headers={"x-admin-auth": self.admin_password}, payload={"enablePrefix": True, "name": username or _random_mailbox_name(), "domain": _next_domain(self.domain)}) + address = str(data.get("address") or "").strip() + token = str(data.get("jwt") or "").strip() + if not address or not token: + raise RuntimeError("CloudflareTempMail 缺少 address 或 jwt") + return {"provider": self.name, "provider_ref": self.provider_ref, "address": address, "token": token} + + def get_existing_mailbox(self, email: str) -> dict[str, Any]: + """通过管理员密码获取已有邮箱地址的 JWT，用于查询邮件。""" + data = self._request("POST", "/admin/get_address", headers={"x-admin-auth": self.admin_password}, payload={"address": email}) + address = str(data.get("address") or "").strip() + token = str(data.get("jwt") or "").strip() + if not address or not token: + raise RuntimeError(f"CloudflareTempMail 无法获取已有邮箱 {email} 的 JWT") + return {"provider": self.name, "provider_ref": self.provider_ref, "address": address, "token": token} + + def fetch_latest_message(self, mailbox: dict[str, Any]) -> dict[str, Any] | None: + data = self._request("GET", "/api/mails", headers={"Authorization": f"Bearer {mailbox['token']}"}, params={"limit": 10, "offset": 0}) + raw = list(data.get("results") or []) if isinstance(data, dict) else data if isinstance(data, list) else [] + messages = [item for item in raw if isinstance(item, dict) and _message_matches_email(item, str(mailbox.get("address") or ""))] + if not messages: + return None + item = messages[0] + text_content, html_content = _extract_content(item) + sender = item.get("from") or item.get("sender") or "" + if isinstance(sender, dict): + sender = sender.get("address") or sender.get("email") or sender.get("name") or "" + return {"provider": self.name, "mailbox": mailbox["address"], "message_id": str(item.get("id") or item.get("_id") or ""), "subject": str(item.get("subject") or ""), "sender": str(sender), "text_content": text_content, "html_content": html_content, "received_at": _parse_received_at(item.get("createdAt") or item.get("created_at") or item.get("receivedAt") or item.get("date") or item.get("timestamp")), "raw": item} + + def close(self) -> None: + self.session.close() + + +class DDGMailProvider(BaseMailProvider): + name = "ddg_mail" + + def __init__(self, entry: dict, conf: dict): + super().__init__(conf, str(entry.get("provider_ref") or "")) + self.label = str(entry.get("label") or self.provider_ref) + self.ddg_token = str(entry["ddg_token"]).strip() + self.cf_api_base = str(entry.get("api_base") or entry.get("cf_api_base") or "").rstrip("/") + self.cf_inbox_jwt = str(entry.get("cf_inbox_jwt") or "").strip() + self.cf_admin_password = str(entry.get("admin_password") or "").strip() + self.cf_api_key = str(entry.get("cf_api_key") or "").strip() + self.cf_auth_mode = str(entry.get("cf_auth_mode") or "none").strip().lower() + self.cf_domain = entry.get("cf_domain") or [] + self.cf_create_path = str(entry.get("cf_create_path") or "/api/new_address").strip() + self.cf_messages_path = str(entry.get("cf_messages_path") or "/api/mails").strip() + self.session = _create_session(conf) + + def _cf_build_headers(self, content_type: bool = False) -> dict: + headers = {"Content-Type": "application/json"} if content_type else {} + if self.cf_api_key: + if self.cf_auth_mode == "x-api-key": + headers["X-API-Key"] = self.cf_api_key + elif self.cf_auth_mode != "none": + headers["Authorization"] = f"Bearer {self.cf_api_key}" + return headers + + def _cf_request(self, method: str, path: str, headers: dict | None = None, params: dict | None = None, payload: dict | None = None, expected: tuple[int, ...] = (200,)) -> dict: + merged_headers = {**self._cf_build_headers(True), **(headers or {}), "User-Agent": self.conf["user_agent"]} + if self.cf_admin_password and method.upper() in ("POST",): + merged_headers["x-admin-auth"] = self.cf_admin_password + if self.cf_api_key and self.cf_auth_mode == "query-key": + params = {**(params or {}), "key": self.cf_api_key} + resp = self.session.request(method.upper(), f"{self.cf_api_base}{path}", headers=merged_headers, params=params, json=payload, timeout=self.conf["request_timeout"], verify=False) + if resp.status_code not in expected: + raise RuntimeError(f"DDGMail CF请求失败: {method} {path}, HTTP {resp.status_code}, body={resp.text[:300]}") + return {} if resp.status_code == 204 else resp.json() + + def _ddg_request(self, method: str, path: str, payload: dict | None = None) -> dict: + resp = self.session.request(method.upper(), f"https://quack.duckduckgo.com{path}", headers={"Authorization": f"Bearer {self.ddg_token}", "Content-Type": "application/json", "User-Agent": self.conf["user_agent"]}, json=payload, timeout=self.conf["request_timeout"], verify=False) + if resp.status_code not in (200, 201): + raise RuntimeError(f"DDG API请求失败: {method} {path}, HTTP {resp.status_code}, body={resp.text[:300]}") + return resp.json() + + def _cf_list_payload(self, data: Any) -> list: + if isinstance(data, list): + return data + if isinstance(data, dict): + for key in ("results", "hydra:member", "data", "messages"): + value = data.get(key) + if isinstance(value, list): + return value + if isinstance(value, dict) and isinstance(value.get("messages"), list): + return value["messages"] + return [] + + def create_mailbox(self, username: str | None = None) -> dict[str, Any]: + ddg_data = self._ddg_request("POST", "/api/email/addresses", payload={}) + ddg_address_part = str(ddg_data.get("address") or "").strip() + if not ddg_address_part: + raise RuntimeError("DDG API 返回无 address 字段") + ddg_address = f"{ddg_address_part}@duck.com" + + if _is_ddg_alias_duplicate(ddg_address): + raise RuntimeError(f"[{self.label}] DDG日上限已达，别名 {ddg_address} 已存在，自动切换邮箱提供商") + + _record_ddg_alias(ddg_address) + + if not self.cf_inbox_jwt: + raise RuntimeError("DDGMail 需要 cf_inbox_jwt（DDG 转发目标的固定收件箱 JWT），请在邮箱配置中填写 CF Inbox JWT") + + return {"provider": self.name, "provider_ref": self.provider_ref, "address": ddg_address, "token": self.cf_inbox_jwt, "label": self.label} + + def _parse_raw_recipient(self, raw_text: str) -> str: + if not raw_text: + return "" + match = re.search(r"^To:\s*(.+?)$", raw_text, re.MULTILINE | re.IGNORECASE) + if match: + addr = match.group(1).strip() + addr = re.sub(r"\s*<[^>]*>", "", addr) + return addr.strip().lower() + try: + parsed = message_from_string(raw_text, policy=policy.default) + return str(parsed.get("To") or "").strip().lower() + except Exception: + return "" + + def fetch_latest_message(self, mailbox: dict[str, Any]) -> dict[str, Any] | None: + target_address = str(mailbox.get("address") or "").strip().lower() + data = self._cf_request("GET", self.cf_messages_path, headers={"Authorization": f"Bearer {mailbox['token']}"}, params={"limit": 30, "offset": 0}) + raw_list = self._cf_list_payload(data) + messages = [item for item in raw_list if isinstance(item, dict)] + if not messages: + return None + + for item in messages: + message_id = str(item.get("id") or item.get("msgid") or item.get("_id") or "") + raw_text = str(item.get("raw") or "") + raw_recipient = self._parse_raw_recipient(raw_text) + if target_address and raw_recipient and target_address not in raw_recipient: + continue + text_content, html_content = _extract_content(item) + subject = str(item.get("subject") or "") + sender = item.get("from") or item.get("sender") or item.get("source") or "" + if isinstance(sender, dict): + sender = sender.get("address") or sender.get("email") or sender.get("name") or "" + if raw_text and (not subject or not sender or subject == sender == ""): + try: + parsed = message_from_string(raw_text, policy=policy.default) + if not subject: + subject = str(parsed.get("Subject") or "") + if not sender: + sender = str(parsed.get("From") or "") + except Exception: + pass + return {"provider": self.name, "mailbox": mailbox["address"], "message_id": message_id, "subject": subject, "sender": str(sender), "text_content": text_content, "html_content": html_content, "received_at": _parse_received_at(item.get("createdAt") or item.get("created_at") or item.get("receivedAt") or item.get("date") or item.get("timestamp")), "raw": item} + + return None + + def close(self) -> None: + self.session.close() + + +class CloudMailGenProvider(BaseMailProvider): + name = "cloudmail_gen" + + def __init__(self, entry: dict, conf: dict): + super().__init__(conf, str(entry.get("provider_ref") or "")) + self.api_base = str(entry["api_base"]).rstrip("/") + self.admin_email = str(entry.get("admin_email") or "").strip() + self.admin_password = str(entry.get("admin_password") or "").strip() + self.domain = _normalize_string_list(entry.get("domain")) + self.subdomain = _normalize_string_list(entry.get("subdomain")) + self.email_prefix = str(entry.get("email_prefix") or "").strip() + self.session = _create_session(conf) + + def _request( + self, + method: str, + path: str, + headers: dict | None = None, + params: dict | None = None, + payload: dict | None = None, + expected: tuple[int, ...] = (200,), + ): + resp = self.session.request( + method.upper(), + f"{self.api_base}{path}", + headers={ + "Content-Type": "application/json", + "User-Agent": self.conf["user_agent"], + **(headers or {}), + }, + params=params, + json=payload, + timeout=self.conf["request_timeout"], + verify=False, + ) + if resp.status_code not in expected: + raise RuntimeError(f"CloudMailGen 请求失败: {method} {path}, HTTP {resp.status_code}, body={resp.text[:300]}") + return {} if resp.status_code == 204 else resp.json() + + def _cache_key(self) -> str: + return f"{self.api_base}|{self.admin_email}" + + def _get_token(self) -> str: + if not self.admin_email or not self.admin_password: + raise RuntimeError("CloudMailGen 缺少 admin_email 或 admin_password") + cache_key = self._cache_key() + now = time.time() + with cloudmail_token_lock: + cached = cloudmail_token_cache.get(cache_key) + if cached and now < cached[1] - 300: + return cached[0] + data = self._request( + "POST", + "/api/public/genToken", + payload={"email": self.admin_email, "password": self.admin_password}, + ) + token = "" + if isinstance(data, dict) and data.get("code") == 200: + token = str((data.get("data") or {}).get("token") or "").strip() + if not token: + raise RuntimeError(f"CloudMailGen genToken 返回异常: {data}") + with cloudmail_token_lock: + cloudmail_token_cache[cache_key] = (token, now + 24 * 3600) + return token + + def _resolve_address(self, username: str | None = None) -> str: + domain = _next_domain(self.domain) + if self.subdomain: + domain = f"{random.choice(self.subdomain)}.{domain}" + if username: + local_part = username + elif self.email_prefix: + local_part = f"{self.email_prefix}_{''.join(random.choices(string.ascii_lowercase + string.digits, k=6))}" + else: + local_part = _random_mailbox_name() + return f"{local_part}@{domain}" + + def create_mailbox(self, username: str | None = None) -> dict[str, Any]: + if not self.domain: + raise RuntimeError("CloudMailGen 需要至少配置一个 domain") + address = self._resolve_address(username) + return {"provider": self.name, "provider_ref": self.provider_ref, "address": address} + + def fetch_latest_message(self, mailbox: dict[str, Any]) -> dict[str, Any] | None: + address = str(mailbox.get("address") or "").strip() + if not address: + raise RuntimeError("CloudMailGen 缺少 address") + token = self._get_token() + data = self._request( + "POST", + "/api/public/emailList", + headers={"Authorization": token}, + payload={"toEmail": address, "size": 20, "timeSort": "desc"}, + ) + items = (data.get("data") or []) if isinstance(data, dict) and data.get("code") == 200 else [] + messages = [item for item in items if isinstance(item, dict) and _message_matches_email(item, address)] + if not messages: + return None + item = messages[0] + text_content, html_content = _extract_content(item) + return { + "provider": self.name, + "mailbox": address, + "message_id": str(item.get("id") or item.get("_id") or item.get("messageId") or ""), + "subject": str(item.get("subject") or ""), + "sender": str(item.get("from") or item.get("sender") or ""), + "text_content": text_content, + "html_content": html_content, + "received_at": _parse_received_at( + item.get("createdAt") or item.get("created_at") or item.get("receivedAt") or item.get("date") or item.get("timestamp") + ), + "to": item.get("to") or item.get("toEmail") or item.get("mailTo"), + "raw": item, + } + + def close(self) -> None: + self.session.close() + + +class TempMailLolProvider(BaseMailProvider): + name = "tempmail_lol" + + def __init__(self, entry: dict, conf: dict): + super().__init__(conf, str(entry.get("provider_ref") or "")) + self.api_key = str(entry.get("api_key") or "").strip() + self.domain = [str(item).strip() for item in (entry.get("domain") or []) if str(item).strip()] + self.session = _create_session(conf) + self.session.headers.update({"User-Agent": conf["user_agent"], "Accept": "application/json", "Content-Type": "application/json"}) + if self.api_key: + self.session.headers["Authorization"] = f"Bearer {self.api_key}" + + @staticmethod + def _resolve_domain(domain: str) -> tuple[str, bool]: + text = str(domain or "").strip().lower() + if text.startswith("*.") and len(text) > 2: + return f"{_random_subdomain_label()}.{text[2:]}", True + return text, False + + def _request(self, method: str, path: str, params: dict | None = None, payload: dict | None = None, expected: tuple[int, ...] = (200,)): + resp = self.session.request(method.upper(), f"https://api.tempmail.lol/v2{path}", params=params, json=payload, timeout=self.conf["request_timeout"], verify=False) + if resp.status_code not in expected: + raise RuntimeError(f"TempMail.lol 请求失败: {method} {path}, HTTP {resp.status_code}, body={resp.text[:300]}") + data = resp.json() + if not isinstance(data, dict): + raise RuntimeError(f"TempMail.lol {method} {path} 返回结构不是对象") + return data + + def create_mailbox(self, username: str | None = None) -> dict[str, Any]: + payload: dict[str, Any] = {} + if self.domain: + domain, force_random_prefix = self._resolve_domain(random.choice(self.domain)) + payload["domain"] = domain + if force_random_prefix: + payload["prefix"] = _random_mailbox_name() + if username and "prefix" not in payload: + payload["prefix"] = username + data = self._request("POST", "/inbox/create", payload=payload, expected=(200, 201)) + address = str(data.get("address") or "").strip() + token = str(data.get("token") or "").strip() + if not address or not token: + raise RuntimeError("TempMail.lol 缺少 address 或 token") + return {"provider": self.name, "provider_ref": self.provider_ref, "address": address, "token": token} + + def fetch_latest_message(self, mailbox: dict[str, Any]) -> dict[str, Any] | None: + data = self._request("GET", "/inbox", params={"token": mailbox["token"]}) + items = data.get("emails") or data.get("messages") or [] + messages = [item for item in items if isinstance(item, dict)] if isinstance(items, list) else [] + if not messages: + return None + item = max(messages, key=lambda value: ((_parse_received_at(value.get("created_at") or value.get("createdAt") or value.get("date") or value.get("received_at") or value.get("timestamp")) or datetime.fromtimestamp(0, tz=timezone.utc)).timestamp(), str(value.get("id") or value.get("token") or ""))) + text_content, html_content = _extract_content(item) + return {"provider": self.name, "mailbox": mailbox["address"], "message_id": str(item.get("id") or item.get("token") or ""), "subject": str(item.get("subject") or ""), "sender": str(item.get("from") or item.get("from_address") or ""), "text_content": text_content, "html_content": html_content, "received_at": _parse_received_at(item.get("created_at") or item.get("createdAt") or item.get("date") or item.get("received_at") or item.get("timestamp")), "raw": item} + + def close(self) -> None: + self.session.close() + + +class DuckMailProvider(BaseMailProvider): + name = "duckmail" + + def __init__(self, entry: dict, conf: dict): + super().__init__(conf, str(entry.get("provider_ref") or "")) + self.api_key = str(entry["api_key"]).strip() + self.default_domain = str(entry.get("default_domain") or "duckmail.sbs").strip() or "duckmail.sbs" + self.session = _create_session(conf) + self.session.headers.update({"User-Agent": conf["user_agent"], "Accept": "application/json", "Content-Type": "application/json"}) + + def _request(self, method: str, path: str, token: str = "", use_api_key: bool = False, params: dict | None = None, payload: dict | None = None, expected: tuple[int, ...] = (200, 201, 204)): + headers = {"Authorization": f"Bearer {self.api_key if use_api_key else token}"} if use_api_key or token else {} + resp = self.session.request(method.upper(), f"https://api.duckmail.sbs{path}", headers=headers, params=params, json=payload, timeout=self.conf["request_timeout"], verify=False) + if resp.status_code not in expected: + raise RuntimeError(f"DuckMail 请求失败: {method} {path}, HTTP {resp.status_code}, body={resp.text[:300]}") + return {} if resp.status_code == 204 else resp.json() + + @staticmethod + def _items(data): + return data if isinstance(data, list) else data.get("hydra:member") or data.get("member") or data.get("data") or [] + + def create_mailbox(self, username: str | None = None) -> dict[str, Any]: + password = "".join(random.choices(string.ascii_letters + string.digits, k=12)) + address = f"{username or _random_mailbox_name()}@{self.default_domain}" + payload = {"address": address, "password": password} + account = self._request("POST", "/accounts", use_api_key=True, payload=payload) + token_data = self._request("POST", "/token", use_api_key=True, payload=payload) + return {"provider": self.name, "provider_ref": self.provider_ref, "address": address, "token": str(token_data.get("token") or ""), "password": password, "account_id": str(account.get("id") or "")} + + def fetch_latest_message(self, mailbox: dict[str, Any]) -> dict[str, Any] | None: + data = self._request("GET", "/messages", token=str(mailbox.get("token") or ""), params={"page": 1}) + items = self._items(data) + if not items: + return None + item = items[0] + message_id = str(item.get("id") or item.get("@id") or "").replace("/messages/", "") + if message_id: + item = self._request("GET", f"/messages/{message_id}", token=str(mailbox.get("token") or "")) + sender = item.get("from") or "" + if isinstance(sender, dict): + sender = sender.get("address") or sender.get("name") or "" + html_content = item.get("html") or "" + if isinstance(html_content, list): + html_content = "".join(str(value) for value in html_content) + return {"provider": self.name, "mailbox": mailbox["address"], "message_id": message_id, "subject": str(item.get("subject") or ""), "sender": str(sender), "text_content": str(item.get("text") or item.get("text_content") or ""), "html_content": str(html_content), "received_at": _parse_received_at(item.get("createdAt") or item.get("created_at") or item.get("receivedAt") or item.get("date")), "raw": item} + + def close(self) -> None: + self.session.close() + + +class GptMailProvider(BaseMailProvider): + name = "gptmail" + + def __init__(self, entry: dict, conf: dict): + super().__init__(conf, str(entry.get("provider_ref") or "")) + self.api_key = str(entry["api_key"]).strip() + self.default_domain = str(entry.get("default_domain") or "").strip() + self.session = _create_session(conf) + self.session.headers.update({"User-Agent": conf["user_agent"], "Accept": "application/json", "Content-Type": "application/json", "X-API-Key": self.api_key}) + + def _request(self, method: str, path: str, params: dict | None = None, payload: dict | None = None): + query = dict(params or {}) + resp = self.session.request(method.upper(), f"https://mail.chatgpt.org.uk{path}", params=query, json=payload, timeout=self.conf["request_timeout"], verify=False) + if resp.status_code != 200: + raise RuntimeError(f"GPTMail 请求失败: {method} {path}, HTTP {resp.status_code}, body={resp.text[:300]}") + data = resp.json() + return data["data"] if isinstance(data, dict) and "data" in data else data + + def create_mailbox(self, username: str | None = None) -> dict[str, Any]: + payload = {key: value for key, value in {"prefix": username, "domain": self.default_domain}.items() if value} + data = self._request("POST" if payload else "GET", "/api/generate-email", payload=payload or None) + return {"provider": self.name, "provider_ref": self.provider_ref, "address": str(data["email"])} + + def fetch_latest_message(self, mailbox: dict[str, Any]) -> dict[str, Any] | None: + data = self._request("GET", "/api/emails", params={"email": mailbox["address"]}) + emails = data if isinstance(data, list) else data.get("emails") or [] + if not emails: + return None + item = max(emails, key=lambda value: (float(value.get("timestamp") or 0), str(value.get("id") or ""))) + if item.get("id"): + item = self._request("GET", f"/api/email/{item['id']}") + return {"provider": self.name, "mailbox": mailbox["address"], "message_id": str(item.get("id") or ""), "subject": str(item.get("subject") or ""), "sender": str(item.get("from_address") or ""), "text_content": str(item.get("content") or ""), "html_content": str(item.get("html_content") or ""), "received_at": _parse_received_at(item.get("timestamp") or item.get("created_at")), "raw": item} + + def close(self) -> None: + self.session.close() + + +class MoEmailProvider(BaseMailProvider): + name = "moemail" + + def __init__(self, entry: dict, conf: dict): + super().__init__(conf, str(entry.get("provider_ref") or "")) + self.api_base = str(entry["api_base"]).rstrip("/") + self.api_key = str(entry["api_key"]).strip() + raw_domains = entry.get("domain") or [] + if isinstance(raw_domains, list): + self.domain = [str(item).strip() for item in raw_domains if str(item).strip()] + else: + self.domain = [str(raw_domains).strip()] if str(raw_domains).strip() else [] + self.expiry_time = int(entry.get("expiry_time") or 0) + self.session = _create_session(conf) + + def _request(self, method: str, path: str, params: dict | None = None, payload: dict | None = None, expected: tuple[int, ...] = (200,)): + resp = self.session.request(method.upper(), f"{self.api_base}{path}", headers={"X-API-Key": self.api_key, "Content-Type": "application/json", "User-Agent": self.conf["user_agent"]}, params=params, json=payload, timeout=self.conf["request_timeout"], verify=False) + if resp.status_code not in expected: + raise RuntimeError(f"MoEmail 请求失败: {method} {path}, HTTP {resp.status_code}, body={resp.text[:300]}") + data = resp.json() + if not isinstance(data, dict): + raise RuntimeError(f"MoEmail {method} {path} 返回结构不是对象") + return data + + def create_mailbox(self, username: str | None = None) -> dict[str, Any]: + data = self._request("POST", "/api/emails/generate", payload={"name": username or _random_mailbox_name(), "expiryTime": self.expiry_time, "domain": _next_domain(self.domain)}, expected=(200, 201)) + address = str(data.get("email") or "").strip() + email_id = str(data.get("id") or data.get("email_id") or "").strip() + if not address or not email_id: + raise RuntimeError("MoEmail 缺少 email 或 id") + return {"provider": self.name, "provider_ref": self.provider_ref, "address": address, "email_id": email_id} + + def fetch_latest_message(self, mailbox: dict[str, Any]) -> dict[str, Any] | None: + email_id = str(mailbox.get("email_id") or "").strip() + if not email_id: + raise RuntimeError("MoEmail 缺少 email_id") + data = self._request("GET", f"/api/emails/{email_id}") + items = data.get("messages") or [] + messages = [item for item in items if isinstance(item, dict)] if isinstance(items, list) else [] + if not messages: + return None + _, item = max(enumerate(messages), key=lambda pair: (((_parse_received_at(pair[1].get("createdAt") or pair[1].get("created_at") or pair[1].get("receivedAt") or pair[1].get("date") or pair[1].get("timestamp")) or datetime.fromtimestamp(0, tz=timezone.utc)).timestamp()), pair[0])) + message_id = str(item.get("id") or item.get("message_id") or item.get("_id") or "").strip() + detail = self._request("GET", f"/api/emails/{email_id}/{message_id}") if message_id else {"message": item} + message = detail.get("message") if isinstance(detail.get("message"), dict) else detail + text_content, html_content = _extract_content(message) + sender = message.get("from") or message.get("sender") or "" + if isinstance(sender, dict): + sender = sender.get("address") or sender.get("email") or sender.get("name") or "" + return {"provider": self.name, "mailbox": mailbox["address"], "message_id": message_id, "subject": str(message.get("subject") or item.get("subject") or ""), "sender": str(sender), "text_content": text_content, "html_content": html_content, "received_at": _parse_received_at(message.get("createdAt") or message.get("created_at") or message.get("receivedAt") or message.get("date") or message.get("timestamp") or item.get("createdAt") or item.get("created_at") or item.get("receivedAt") or item.get("date") or item.get("timestamp")), "raw": detail} + + def close(self) -> None: + self.session.close() + + +class InbucketMailProvider(BaseMailProvider): + name = "inbucket" + + def __init__(self, entry: dict, conf: dict): + super().__init__(conf, str(entry.get("provider_ref") or "")) + self.api_base = str(entry["api_base"]).rstrip("/") + raw_domains = entry.get("domain") or [] + if isinstance(raw_domains, list): + self.domain = [str(item).strip() for item in raw_domains if str(item).strip()] + else: + self.domain = [str(raw_domains).strip()] if str(raw_domains).strip() else [] + self.random_subdomain = bool(entry.get("random_subdomain", True)) + self.session = _create_session(conf) + self.session.headers.update({ + "User-Agent": conf["user_agent"], + "Accept": "application/json", + }) + + def _request(self, method: str, path: str, expected: tuple[int, ...] = (200,)): + resp = self.session.request( + method.upper(), + f"{self.api_base}{path}", + timeout=self.conf["request_timeout"], + verify=False, + ) + if resp.status_code not in expected: + raise RuntimeError(f"Inbucket 请求失败: {method} {path}, HTTP {resp.status_code}, body={resp.text[:300]}") + if resp.status_code == 204: + return {} + content_type = str(resp.headers.get("content-type") or "").lower() + if "application/json" in content_type: + return resp.json() + return resp.text + + def _resolve_domain(self) -> str: + if self.domain: + return _next_domain(self.domain) + raise RuntimeError("Inbucket 需要至少配置一个 domain") + + def _mailbox_name(self, address: str) -> str: + local_part, _, _ = str(address or "").partition("@") + return local_part.strip() + + def create_mailbox(self, username: str | None = None) -> dict[str, Any]: + local_part = username or _random_mailbox_name() + base_domain = self._resolve_domain() + domain = f"{_random_subdomain_label()}.{base_domain}" if self.random_subdomain else base_domain + address = f"{local_part}@{domain}" + mailbox_name = self._mailbox_name(address) + return { + "provider": self.name, + "provider_ref": self.provider_ref, + "address": address, + "base_domain": base_domain, + "mailbox_name": mailbox_name, + } + + def fetch_latest_message(self, mailbox: dict[str, Any]) -> dict[str, Any] | None: + mailbox_name = str(mailbox.get("mailbox_name") or self._mailbox_name(str(mailbox.get("address") or ""))).strip() + if not mailbox_name: + raise RuntimeError("Inbucket 缺少 mailbox_name") + data = self._request("GET", f"/api/v1/mailbox/{mailbox_name}") + items = [item for item in data if isinstance(item, dict)] if isinstance(data, list) else [] + if not items: + return None + items.sort( + key=lambda value: ( + (_parse_received_at(value.get("date")) or datetime.fromtimestamp(0, tz=timezone.utc)).timestamp(), + str(value.get("id") or ""), + ), + reverse=True, + ) + address = str(mailbox.get("address") or "").strip() + for item in items: + message_id = str(item.get("id") or "").strip() + if not message_id: + continue + detail = self._request("GET", f"/api/v1/mailbox/{mailbox_name}/{message_id}") + if not isinstance(detail, dict): + continue + header = detail.get("header") if isinstance(detail.get("header"), dict) else {} + body = detail.get("body") if isinstance(detail.get("body"), dict) else {} + normalized = { + "provider": self.name, + "mailbox": mailbox_name, + "message_id": message_id, + "subject": str(detail.get("subject") or item.get("subject") or ""), + "sender": str(detail.get("from") or item.get("from") or ""), + "text_content": str(body.get("text") or ""), + "html_content": str(body.get("html") or ""), + "received_at": _parse_received_at(detail.get("date") or item.get("date")), + "to": header.get("To") if isinstance(header, dict) else None, + "raw": detail, + } + if _message_matches_email(normalized, address): + return normalized + return None + + def close(self) -> None: + self.session.close() + + +class YydsMailProvider(BaseMailProvider): + name = "yyds_mail" + + def __init__(self, entry: dict, conf: dict): + super().__init__(conf, str(entry.get("provider_ref") or "")) + self.api_base = str(entry.get("api_base") or "https://maliapi.215.im/v1").rstrip("/") + self.api_key = str(entry["api_key"]).strip() + self.domain = [str(item).strip() for item in (entry.get("domain") or []) if str(item).strip()] + self.subdomain = str(entry.get("subdomain") or "").strip() + self.wildcard = bool(entry.get("wildcard")) + self.session = _create_session(conf) + self.session.headers.update({"User-Agent": conf["user_agent"], "Accept": "application/json", "Content-Type": "application/json"}) + + def _request(self, method: str, path: str, token: str = "", params: dict | None = None, payload: dict | None = None, expected: tuple[int, ...] = (200, 201, 204)): + headers = {"Authorization": f"Bearer {token}"} if token else {"X-API-Key": self.api_key} + resp = self.session.request(method.upper(), f"{self.api_base}{path}", headers=headers, params=params, json=payload, timeout=self.conf["request_timeout"], verify=False) + if resp.status_code not in expected: + raise RuntimeError(f"YYDSMail 请求失败: {method} {path}, HTTP {resp.status_code}, body={resp.text[:300]}") + if resp.status_code == 204: + return {} + data = resp.json() + if isinstance(data, dict) and data.get("success") is False: + raise RuntimeError(f"YYDSMail 请求失败: {data.get('errorCode') or data.get('error')}") + return data.get("data") if isinstance(data, dict) and isinstance(data.get("data"), (dict, list)) else data + + @staticmethod + def _items(data): + return data if isinstance(data, list) else data.get("items") or data.get("messages") or data.get("data") or [] + + def create_mailbox(self, username: str | None = None) -> dict[str, Any]: + payload = {"localPart": username or _random_mailbox_name()} + if self.domain: + payload["domain"] = _next_domain(self.domain) + if self.subdomain: + payload["subdomain"] = self.subdomain + data = self._request("POST", "/accounts/wildcard" if self.wildcard else "/accounts", payload=payload) + address = str(data.get("address") or data.get("email") or "").strip() + token = str(data.get("token") or data.get("temp_token") or data.get("tempToken") or data.get("access_token") or "").strip() + if not address or not token: + raise RuntimeError("YYDSMail 缺少 address 或 token") + return {"provider": self.name, "provider_ref": self.provider_ref, "address": address, "token": token, "account_id": str(data.get("id") or "")} + + def fetch_latest_message(self, mailbox: dict[str, Any]) -> dict[str, Any] | None: + data = self._request("GET", "/messages", token=str(mailbox.get("token") or ""), params={"address": mailbox["address"]}) + messages = [item for item in self._items(data) if isinstance(item, dict)] + if not messages: + return None + item = max(messages, key=lambda value: ((_parse_received_at(value.get("createdAt") or value.get("created_at") or value.get("receivedAt") or value.get("date") or value.get("timestamp")) or datetime.fromtimestamp(0, tz=timezone.utc)).timestamp(), str(value.get("id") or ""))) + message_id = str(item.get("id") or item.get("message_id") or "").strip() + if message_id: + item = self._request("GET", f"/messages/{message_id}", token=str(mailbox.get("token") or ""), params={"address": mailbox["address"]}) + text_content, html_content = _extract_content(item) + sender = item.get("from") or item.get("sender") or "" + if isinstance(sender, dict): + sender = sender.get("address") or sender.get("email") or sender.get("name") or "" + return {"provider": self.name, "mailbox": mailbox["address"], "message_id": message_id, "subject": str(item.get("subject") or ""), "sender": str(sender), "text_content": text_content, "html_content": html_content, "received_at": _parse_received_at(item.get("createdAt") or item.get("created_at") or item.get("receivedAt") or item.get("date") or item.get("timestamp")), "raw": item} + + def close(self) -> None: + self.session.close() + + +def _entries(mail_config: dict) -> list[dict]: + result: list[dict] = [] + counters: dict[str, int] = {} + for item in mail_config["providers"]: + idx = len(result) + 1 + t = item.get("type", "") + cnt = counters.get(t, 0) + 1 + counters[t] = cnt + label = f"DDG-{cnt}" if t == "ddg_mail" else f"{t}#{idx}" + result.append({**item, "provider_ref": f"{item['type']}#{idx}", "label": label}) + return result + + +def _enabled_entries(mail_config: dict) -> list[dict]: + items = [item for item in _entries(mail_config) if item.get("enable")] + if not items: + raise RuntimeError("mail.providers 没有启用的 provider") + return items + + +def _next_entry(mail_config: dict) -> dict: + global provider_index + items = _enabled_entries(mail_config) + if len(items) == 1: + return dict(items[0]) + with provider_lock: + value = dict(items[provider_index % len(items)]) + provider_index = (provider_index + 1) % len(items) + return value + + +def _create_provider(mail_config: dict, provider: str = "", provider_ref: str = "") -> BaseMailProvider: + entry = next((dict(item) for item in _entries(mail_config) if provider_ref and item["provider_ref"] == provider_ref), None) + entry = entry or next((dict(item) for item in _enabled_entries(mail_config) if provider and item["type"] == provider), None) or _next_entry(mail_config) + conf = _config(mail_config) + if entry["type"] == "cloudmail_gen": + return CloudMailGenProvider(entry, conf) + if entry["type"] == "cloudflare_temp_email": + return CloudflareTempMailProvider(entry, conf) + if entry["type"] == "ddg_mail": + return DDGMailProvider(entry, conf) + if entry["type"] == "tempmail_lol": + return TempMailLolProvider(entry, conf) + if entry["type"] == "duckmail": + return DuckMailProvider(entry, conf) + if entry["type"] == "gptmail": + return GptMailProvider(entry, conf) + if entry["type"] == "moemail": + return MoEmailProvider(entry, conf) + if entry["type"] == "inbucket": + return InbucketMailProvider(entry, conf) + if entry["type"] == "yyds_mail": + return YydsMailProvider(entry, conf) + raise RuntimeError(f"不支持的 mail.provider: {entry['type']}") + + +def create_mailbox(mail_config: dict, username: str | None = None) -> dict: + enabled = _enabled_entries(mail_config) + tried: set[str] = set() + last_error = "" + for _ in range(len(enabled)): + provider = _create_provider(mail_config) + provider_key = f"{provider.name}#{provider.provider_ref}" + try: + if provider_key in tried: + continue + tried.add(provider_key) + mailbox = provider.create_mailbox(username) + return mailbox + except RuntimeError as error: + last_error = str(error) + if "DDG日上限已达" not in last_error: + raise + finally: + provider.close() + raise RuntimeError(last_error or "所有启用的邮箱提供商均无法创建邮箱") + + +def wait_for_code(mail_config: dict, mailbox: dict) -> str | None: + provider = _create_provider(mail_config, str(mailbox.get("provider") or ""), str(mailbox.get("provider_ref") or "")) + try: + return provider.wait_for_code(mailbox) + finally: + provider.close() + + +def get_existing_mailbox(mail_config: dict, email: str) -> dict: + """通过管理员密码获取已有邮箱地址的 JWT，用于查询邮件。""" + enabled = _enabled_entries(mail_config) + tried: set[str] = set() + last_error = "" + for _ in range(len(enabled)): + provider = _create_provider(mail_config) + provider_key = f"{provider.name}#{provider.provider_ref}" + try: + if provider_key in tried: + continue + tried.add(provider_key) + if hasattr(provider, "get_existing_mailbox"): + mailbox = provider.get_existing_mailbox(email) + return mailbox + else: + raise RuntimeError(f"邮箱提供商 {provider.name} 不支持查询已有邮箱") + except RuntimeError as error: + last_error = str(error) + if "DDG日上限已达" not in last_error: + raise + finally: + provider.close() + raise RuntimeError(last_error or "所有启用的邮箱提供商均无法查询已有邮箱") diff --git a/services/register/openai_register.py b/services/register/openai_register.py new file mode 100644 index 0000000000000000000000000000000000000000..4e8670e6e63ed2d051e3e99a87b8366b8771184b --- /dev/null +++ b/services/register/openai_register.py @@ -0,0 +1,476 @@ +from __future__ import annotations + +import base64 +import hashlib +import json +import random +import secrets +import string +import threading +import time +import uuid +from datetime import datetime, timezone +from pathlib import Path +from typing import Any +from urllib.parse import parse_qs, urlencode, urlparse + +from curl_cffi import requests + +from services.account_service import account_service +from services.register import mail_provider + +base_dir = Path(__file__).resolve().parent +config = { + "mail": { + "request_timeout": 30, + "wait_timeout": 30, + "wait_interval": 2, + "providers": [], + }, + "proxy": "", + "total": 10, + "threads": 3, +} +register_config_file = base_dir.parents[1] / "data" / "register.json" +try: + saved_config = json.loads(register_config_file.read_text(encoding="utf-8")) + config.update({key: saved_config[key] for key in ("mail", "proxy", "total", "threads") if key in saved_config}) +except Exception: + pass + +auth_base = "https://auth.openai.com" +platform_base = "https://platform.openai.com" +platform_oauth_client_id = "app_2SKx67EdpoN0G6j64rFvigXD" +platform_oauth_redirect_uri = f"{platform_base}/auth/callback" +platform_oauth_audience = "https://api.openai.com/v1" +platform_auth0_client = "eyJuYW1lIjoiYXV0aDAtc3BhLWpzIiwidmVyc2lvbiI6IjEuMjEuMCJ9" +user_agent = ( + "Mozilla/5.0 (Windows NT 10.0; Win64; x64) " + "AppleWebKit/537.36 (KHTML, like Gecko) " + "Chrome/145.0.0.0 Safari/537.36" +) +sec_ch_ua = '"Google Chrome";v="145", "Not?A_Brand";v="8", "Chromium";v="145"' +sec_ch_ua_full_version_list = '"Chromium";v="145.0.0.0", "Not:A-Brand";v="99.0.0.0", "Google Chrome";v="145.0.0.0"' +default_timeout = 30 +print_lock = threading.Lock() +stats_lock = threading.Lock() +stats = {"done": 0, "success": 0, "fail": 0, "start_time": 0.0} +register_log_sink = None + +common_headers = { + "accept": "application/json", + "accept-encoding": "gzip, deflate, br", + "accept-language": "en-US,en;q=0.9", + "cache-control": "no-cache", + "connection": "keep-alive", + "content-type": "application/json", + "dnt": "1", + "origin": auth_base, + "priority": "u=1, i", + "sec-gpc": "1", + "sec-ch-ua": sec_ch_ua, + "sec-ch-ua-arch": '"x86_64"', + "sec-ch-ua-bitness": '"64"', + "sec-ch-ua-full-version-list": sec_ch_ua_full_version_list, + "sec-ch-ua-mobile": "?0", + "sec-ch-ua-model": '""', + "sec-ch-ua-platform": '"Windows"', + "sec-ch-ua-platform-version": '"10.0.0"', + "sec-fetch-dest": "empty", + "sec-fetch-mode": "cors", + "sec-fetch-site": "same-origin", + "user-agent": user_agent, +} + +navigate_headers = { + "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8", + "accept-encoding": "gzip, deflate, br", + "accept-language": "en-US,en;q=0.9", + "cache-control": "max-age=0", + "connection": "keep-alive", + "dnt": "1", + "sec-gpc": "1", + "sec-ch-ua": sec_ch_ua, + "sec-ch-ua-arch": '"x86_64"', + "sec-ch-ua-bitness": '"64"', + "sec-ch-ua-full-version-list": sec_ch_ua_full_version_list, + "sec-ch-ua-mobile": "?0", + "sec-ch-ua-model": '""', + "sec-ch-ua-platform": '"Windows"', + "sec-ch-ua-platform-version": '"10.0.0"', + "sec-fetch-dest": "document", + "sec-fetch-mode": "navigate", + "sec-fetch-site": "same-origin", + "sec-fetch-user": "?1", + "upgrade-insecure-requests": "1", + "user-agent": user_agent, +} + + +def log(text: str, color: str = "") -> None: + colors = {"red": "\033[31m", "green": "\033[32m", "yellow": "\033[33m"} + if register_log_sink: + try: + register_log_sink(text, color) + except Exception: + pass + with print_lock: + prefix = colors.get(color, "") + suffix = "\033[0m" if prefix else "" + print(f"{prefix}{datetime.now().strftime('%H:%M:%S')} {text}{suffix}") + + +def step(index: int, text: str, color: str = "") -> None: + log(f"[任务{index}] {text}", color) + + +def _make_trace_headers() -> dict[str, str]: + trace_id = str(random.getrandbits(64)) + parent_id = str(random.getrandbits(64)) + return { + "traceparent": f"00-{uuid.uuid4().hex}-{format(int(parent_id), '016x')}-01", + "tracestate": "dd=s:1;o:rum", + "x-datadog-origin": "rum", + "x-datadog-parent-id": parent_id, + "x-datadog-sampling-priority": "1", + "x-datadog-trace-id": trace_id, + } + + +from utils.pkce import generate_pkce as _generate_pkce # noqa: F401 + + +def _random_password(length: int = 16) -> str: + chars = string.ascii_letters + string.digits + "!@#$%" + value = list( + secrets.choice(string.ascii_uppercase) + + secrets.choice(string.ascii_lowercase) + + secrets.choice(string.digits) + + secrets.choice("!@#$%") + + "".join(secrets.choice(chars) for _ in range(max(0, length - 4))) + ) + random.shuffle(value) + return "".join(value) + + +def _random_name() -> tuple[str, str]: + return random.choice(["James", "Robert", "John", "Michael", "David", "Mary", "Emma", "Olivia"]), random.choice( + ["Smith", "Johnson", "Williams", "Brown", "Jones", "Garcia", "Miller"] + ) + + +def _random_birthdate() -> str: + return f"{random.randint(1996, 2006):04d}-{random.randint(1, 12):02d}-{random.randint(1, 28):02d}" + + +def _response_json(resp) -> dict: + try: + data = resp.json() + return data if isinstance(data, dict) else {} + except Exception: + return {} + + +def _response_debug_detail(resp, limit: int = 800) -> str: + if resp is None: + return "" + data = _response_json(resp) + parts = [ + f"url={str(getattr(resp, 'url', '') or '')[:300]}", + f"content_type={str(getattr(resp, 'headers', {}).get('content-type') or '')}", + ] + for key in ("cf-ray", "x-request-id", "openai-processing-ms"): + value = str(getattr(resp, "headers", {}).get(key) or "").strip() + if value: + parts.append(f"{key}={value}") + if data: + parts.append(f"json={json.dumps(data, ensure_ascii=False)[:limit]}") + else: + parts.append(f"body={str(getattr(resp, 'text', '') or '')[:limit]}") + return ", ".join(parts) + + +def _is_cloudflare_challenge(resp) -> bool: + if resp is None: + return False + text = str(getattr(resp, "text", "") or "").lower() + headers = getattr(resp, "headers", {}) or {} + server = str(headers.get("server") or "").lower() + return ( + "cloudflare" in server + or "challenges.cloudflare.com" in text + or "just a moment" in text + ) + + +def create_mailbox(username: str | None = None) -> dict: + return mail_provider.create_mailbox(config["mail"], username) + + +def wait_for_code(mailbox: dict) -> str | None: + return mail_provider.wait_for_code(config["mail"], mailbox) + + +from utils.sentinel import SentinelTokenGenerator, build_sentinel_token as _build_sentinel_token_tuple # noqa: F401 + + +def build_sentinel_token(session: requests.Session, device_id: str, flow: str) -> str: + """请求 sentinel token，返回 sentinel header 字符串（兼容旧接口）。""" + sentinel_val, _oai_sc_val = _build_sentinel_token_tuple(session, device_id, flow, user_agent=user_agent, sec_ch_ua=sec_ch_ua) + return sentinel_val + + +def create_session(proxy: str = "") -> Any: + kwargs = {"impersonate": "chrome", "verify": False} + if proxy: + kwargs["proxy"] = proxy + return requests.Session(**kwargs) + + +def request_with_local_retry(session: requests.Session, method: str, url: str, retry_attempts: int = 3, **kwargs): + last_error = "" + for _ in range(max(1, retry_attempts)): + try: + return session.request(method.upper(), url, timeout=default_timeout, **kwargs), "" + except Exception as error: + last_error = str(error) + time.sleep(1) + return None, last_error + + +def validate_otp(session: requests.Session, device_id: str, code: str): + headers = dict(common_headers) + headers["referer"] = f"{auth_base}/email-verification" + headers["oai-device-id"] = device_id + headers.update(_make_trace_headers()) + resp, error = request_with_local_retry(session, "post", f"{auth_base}/api/accounts/email-otp/validate", json={"code": code}, headers=headers, verify=False) + if resp is not None and resp.status_code == 200: + return resp, "" + headers["openai-sentinel-token"] = build_sentinel_token(session, device_id, "authorize_continue") + resp, error = request_with_local_retry(session, "post", f"{auth_base}/api/accounts/email-otp/validate", json={"code": code}, headers=headers, verify=False) + return resp, error + + +def extract_oauth_callback_params_from_url(url: str) -> dict[str, str] | None: + if not url: + return None + try: + params = parse_qs(urlparse(url).query) + except Exception: + return None + code = str((params.get("code") or [""])[0]).strip() + if not code: + return None + return {"code": code, "state": str((params.get("state") or [""])[0]).strip(), "scope": str((params.get("scope") or [""])[0]).strip()} + + +def request_platform_oauth_token(session: requests.Session, code: str, code_verifier: str) -> dict | None: + headers = { + "accept": "*/*", + "accept-language": "zh-CN,zh;q=0.9", + "auth0-client": platform_auth0_client, + "cache-control": "no-cache", + "content-type": "application/json", + "origin": platform_base, + "pragma": "no-cache", + "priority": "u=1, i", + "referer": f"{platform_base}/", + "sec-ch-ua": sec_ch_ua, + "sec-ch-ua-mobile": "?0", + "sec-ch-ua-platform": '"Windows"', + "sec-fetch-dest": "empty", + "sec-fetch-mode": "cors", + "sec-fetch-site": "same-site", + "user-agent": user_agent, + } + resp = session.post( + f"{auth_base}/api/accounts/oauth/token", + headers=headers, + json={ + "client_id": platform_oauth_client_id, + "code_verifier": code_verifier, + "grant_type": "authorization_code", + "code": code, + "redirect_uri": platform_oauth_redirect_uri, + }, + verify=False, + timeout=60, + ) + if resp.status_code != 200: + print(resp.text) + return None + return _response_json(resp) + + +class PlatformRegistrar: + def __init__(self, proxy: str = "") -> None: + self.session = create_session(proxy) + self.device_id = str(uuid.uuid4()) + self.code_verifier = "" + self.platform_auth_code = "" + + def close(self) -> None: + self.session.close() + + def _navigate_headers(self, referer: str = "") -> dict[str, str]: + headers = dict(navigate_headers) + if referer: + headers["referer"] = referer + return headers + + def _json_headers(self, referer: str) -> dict[str, str]: + headers = dict(common_headers) + headers["referer"] = referer + headers["oai-device-id"] = self.device_id + headers.update(_make_trace_headers()) + return headers + + def _platform_authorize(self, email: str, index: int) -> None: + step(index, "开始 platform authorize") + self.session.cookies.set("oai-did", self.device_id, domain=".auth.openai.com") + self.session.cookies.set("oai-did", self.device_id, domain="auth.openai.com") + self.code_verifier, code_challenge = _generate_pkce() + params = { + "issuer": auth_base, + "client_id": platform_oauth_client_id, + "audience": platform_oauth_audience, + "redirect_uri": platform_oauth_redirect_uri, + "device_id": self.device_id, + "screen_hint": "login_or_signup", + "max_age": "0", + "login_hint": email, + "scope": "openid profile email offline_access", + "response_type": "code", + "response_mode": "query", + "state": secrets.token_urlsafe(32), + "nonce": secrets.token_urlsafe(32), + "code_challenge": code_challenge, + "code_challenge_method": "S256", + "auth0Client": platform_auth0_client, + } + resp, error = request_with_local_retry(self.session, "get", f"{auth_base}/api/accounts/authorize?{urlencode(params)}", headers=self._navigate_headers(f"{platform_base}/"), allow_redirects=True, verify=False) + if resp is None or resp.status_code != 200: + err = _response_json(resp).get("error", {}) if resp is not None else {} + detail = f": {err.get('code', '')} - {err.get('message', '')}".strip(" -") if err else "" + if _is_cloudflare_challenge(resp): + raise RuntimeError("被 Cloudflare 拦截，请更换 IP 重试") + debug = _response_debug_detail(resp) + status = getattr(resp, "status_code", "unknown") + raise RuntimeError(error or f"platform_authorize_http_{status}{detail}, {debug}") + step(index, "platform authorize 完成") + + def _register_user(self, email: str, password: str, index: int) -> None: + step(index, "开始提交注册密码") + headers = self._json_headers(f"{auth_base}/create-account/password") + headers["openai-sentinel-token"] = build_sentinel_token(self.session, self.device_id, "username_password_create") + resp, error = request_with_local_retry(self.session, "post", f"{auth_base}/api/accounts/user/register", json={"username": email, "password": password}, headers=headers, verify=False) + if resp is None or resp.status_code != 200: + data = _response_json(resp) if resp is not None else {} + if data.get("message") == "Failed to create account. Please try again.": + step(index, "注册失败提示: 邮箱域名很可能因滥用被封禁，请更换邮箱域名", "yellow") + detail = f", detail={json.dumps(data, ensure_ascii=False)}" if data else "" + raise RuntimeError(error or f"user_register_http_{getattr(resp, 'status_code', 'unknown')}{detail}") + step(index, "提交注册密码完成") + + def _send_otp(self, index: int) -> None: + step(index, "开始发送验证码") + resp, error = request_with_local_retry(self.session, "get", f"{auth_base}/api/accounts/email-otp/send", headers=self._navigate_headers(f"{auth_base}/create-account/password"), allow_redirects=True, verify=False) + if resp is None or resp.status_code not in (200, 302): + raise RuntimeError(error or f"send_otp_http_{getattr(resp, 'status_code', 'unknown')}") + step(index, "发送验证码完成") + + def _validate_otp(self, code: str, index: int) -> None: + step(index, f"开始校验验证码 {code}") + resp, error = validate_otp(self.session, self.device_id, code) + if resp is None or resp.status_code != 200: + body = "" + try: + body = (resp.text or "")[:500] if resp is not None else "" + except Exception: + pass + raise RuntimeError(error or f"validate_otp_http_{getattr(resp, 'status_code', 'unknown')}_body={body}") + step(index, "验证码校验完成") + + def _create_account(self, name: str, birthdate: str, index: int) -> None: + step(index, "开始创建账号资料") + headers = self._json_headers(f"{auth_base}/about-you") + headers["openai-sentinel-token"] = build_sentinel_token(self.session, self.device_id, "oauth_create_account") + resp, error = request_with_local_retry(self.session, "post", f"{auth_base}/api/accounts/create_account", json={"name": name, "birthdate": birthdate}, headers=headers, verify=False) + if resp is None or resp.status_code not in (200, 302): + data = _response_json(resp) if resp is not None else {} + if data.get("message") == "Failed to create account. Please try again.": + step(index, "创建账号失败提示: 邮箱域名很可能因滥用被封禁，请更换邮箱域名", "yellow") + detail = f", detail={json.dumps(data, ensure_ascii=False)}" if data else "" + raise RuntimeError(error or f"create_account_http_{getattr(resp, 'status_code', 'unknown')}{detail}") + data = _response_json(resp) + callback_params = extract_oauth_callback_params_from_url(str(data.get("continue_url") or "").strip()) + self.platform_auth_code = str((callback_params or {}).get("code") or "").strip() + step(index, "创建账号资料完成") + + def _exchange_registered_tokens(self, index: int) -> dict: + step(index, "开始换 token") + tokens = request_platform_oauth_token(self.session, self.platform_auth_code, self.code_verifier) + if not tokens: + raise RuntimeError("token换取失败") + step(index, "token 换取完成") + return tokens + + def register(self, index: int) -> dict: + step(index, "开始创建邮箱") + mailbox = create_mailbox() + email = str(mailbox.get("address") or "").strip() + if not email: + raise RuntimeError("邮箱服务未返回 address") + label = str(mailbox.get("label") or "") + step(index, f"邮箱创建完成[{label}]: {email}") + password = _random_password() + first_name, last_name = _random_name() + self._platform_authorize(email, index) + self._register_user(email, password, index) + self._send_otp(index) + step(index, "开始等待注册验证码") + code = wait_for_code(mailbox) + if not code: + raise RuntimeError("等待注册验证码超时") + step(index, f"收到注册验证码: {code}") + self._validate_otp(code, index) + self._create_account(f"{first_name} {last_name}", _random_birthdate(), index) + tokens = self._exchange_registered_tokens(index) + return { + "email": email, + "password": password, + "access_token": str(tokens.get("access_token") or "").strip(), + "refresh_token": str(tokens.get("refresh_token") or "").strip(), + "id_token": str(tokens.get("id_token") or "").strip(), + "source_type": "web", + "created_at": datetime.now(timezone.utc).isoformat(), + } + + +def worker(index: int) -> dict: + start = time.time() + registrar = PlatformRegistrar(config["proxy"]) + try: + step(index, "任务启动") + result = registrar.register(index) + cost = time.time() - start + access_token = str(result["access_token"]) + account_service.add_account_items([result]) + refresh_result = account_service.refresh_accounts([access_token]) + if refresh_result.get("errors"): + step(index, f"账号已保存，刷新状态暂未成功，稍后可重试: {refresh_result['errors']}", "yellow") + with stats_lock: + stats["done"] += 1 + stats["success"] += 1 + avg = (time.time() - stats["start_time"]) / stats["success"] + log(f'{result["email"]} 注册成功，本次耗时{cost:.1f}s，全局平均每个号注册耗时{avg:.1f}s', "green") + return {"ok": True, "index": index, "result": result} + except Exception as e: + cost = time.time() - start + with stats_lock: + stats["done"] += 1 + stats["fail"] += 1 + log(f"任务{index} 注册失败，本次耗时{cost:.1f}s，原因: {e}", "red") + return {"ok": False, "index": index, "error": str(e)} + finally: + registrar.close() diff --git a/services/register_service.py b/services/register_service.py new file mode 100644 index 0000000000000000000000000000000000000000..a29ccb73d5739ed35af05266987ab73b83e73ea5 --- /dev/null +++ b/services/register_service.py @@ -0,0 +1,197 @@ +from __future__ import annotations + +import json +import threading +import time +import uuid +from concurrent.futures import FIRST_COMPLETED, ThreadPoolExecutor, wait +from datetime import datetime, timezone +from pathlib import Path + +from services.account_service import account_service +from services.config import DATA_DIR +from services.register import openai_register + + +REGISTER_FILE = DATA_DIR / "register.json" + + +def _now() -> str: + return datetime.now(timezone.utc).isoformat() + + +def _default_config() -> dict: + return {**openai_register.config, "mode": "total", "target_quota": 100, "target_available": 10, "check_interval": 5, "enabled": False, "stats": {"success": 0, "fail": 0, "done": 0, "running": 0, "threads": openai_register.config["threads"], "elapsed_seconds": 0, "avg_seconds": 0, "success_rate": 0, "current_quota": 0, "current_available": 0}} + + +def _normalize(raw: dict) -> dict: + cfg = _default_config() + cfg.update({k: v for k, v in raw.items() if k not in {"stats", "logs"}}) + cfg["total"] = max(1, int(cfg.get("total") or 1)) + cfg["threads"] = max(1, int(cfg.get("threads") or 1)) + cfg["mode"] = str(cfg.get("mode") or "total").strip() if str(cfg.get("mode") or "total").strip() in {"total", "quota", "available"} else "total" + cfg["target_quota"] = max(1, int(cfg.get("target_quota") or 1)) + cfg["target_available"] = max(1, int(cfg.get("target_available") or 1)) + cfg["check_interval"] = max(1, int(cfg.get("check_interval") or 5)) + cfg["proxy"] = str(cfg.get("proxy") or "").strip() + cfg["enabled"] = bool(cfg.get("enabled")) + stats = {**_default_config()["stats"], **(raw.get("stats") if isinstance(raw.get("stats"), dict) else {}), + "threads": cfg["threads"]} + cfg["stats"] = stats + return cfg + + +class RegisterService: + def __init__(self, store_file: Path): + self._store_file = store_file + self._lock = threading.RLock() + self._runner: threading.Thread | None = None + self._logs: list[dict] = [] + openai_register.register_log_sink = self._append_log + self._config = self._load() + if self._config["enabled"]: + self.start() + + def _load(self) -> dict: + try: + return _normalize(json.loads(self._store_file.read_text(encoding="utf-8"))) + except Exception: + return _normalize({}) + + def _save(self) -> None: + self._store_file.parent.mkdir(parents=True, exist_ok=True) + self._store_file.write_text(json.dumps(self._config, ensure_ascii=False, indent=2) + "\n", encoding="utf-8") + + def get(self) -> dict: + with self._lock: + return json.loads(json.dumps({**self._config, "logs": self._logs[-300:]}, ensure_ascii=False)) + + def _inject_proxy_to_mail(self) -> None: + proxy = str(self._config.get("proxy") or "").strip() + if proxy and isinstance(self._config.get("mail"), dict): + self._config["mail"]["proxy"] = proxy + + def update(self, updates: dict) -> dict: + with self._lock: + self._config = _normalize({**self._config, **updates}) + self._inject_proxy_to_mail() + openai_register.config.update({k: self._config[k] for k in ("mail", "proxy", "total", "threads")}) + self._save() + return self.get() + + def start(self) -> dict: + with self._lock: + if self._runner and self._runner.is_alive(): + self._config["enabled"] = True + self._save() + return self.get() + self._config["enabled"] = True + self._inject_proxy_to_mail() + self._logs = [] + metrics = self._pool_metrics() + self._config["stats"] = {"job_id": uuid.uuid4().hex, "success": 0, "fail": 0, "done": 0, "running": 0, "threads": self._config["threads"], **metrics, "started_at": _now(), "updated_at": _now()} + openai_register.config.update({k: self._config[k] for k in ("mail", "proxy", "total", "threads")}) + with openai_register.stats_lock: + openai_register.stats.update({"done": 0, "success": 0, "fail": 0, "start_time": time.time()}) + self._save() + self._runner = threading.Thread(target=self._run, daemon=True, name="openai-register") + self._runner.start() + self._append_log(f"注册任务启动，模式={self._config['mode']}，线程数={self._config['threads']}", "yellow") + return self.get() + + def stop(self) -> dict: + with self._lock: + self._config["enabled"] = False + self._config["stats"]["updated_at"] = _now() + self._save() + self._append_log("已请求停止注册任务，正在等待当前运行任务结束", "yellow") + return self.get() + + def reset(self) -> dict: + with self._lock: + self._logs = [] + self._config["stats"] = {"success": 0, "fail": 0, "done": 0, "running": 0, "threads": self._config["threads"], "elapsed_seconds": 0, "avg_seconds": 0, "success_rate": 0, **self._pool_metrics(), "updated_at": _now()} + with openai_register.stats_lock: + openai_register.stats.update({"done": 0, "success": 0, "fail": 0, "start_time": 0.0}) + self._save() + return self.get() + + def _append_log(self, text: str, color: str = "") -> None: + with self._lock: + self._logs.append({"time": _now(), "text": str(text), "level": str(color or "info")}) + self._logs = self._logs[-300:] + + def _pool_metrics(self) -> dict: + items = account_service.list_accounts() + normal = [item for item in items if item.get("status") == "正常"] + return { + "current_quota": sum(int(item.get("quota") or 0) for item in normal if not item.get("image_quota_unknown")), + "current_available": len(normal), + } + + def _target_reached(self, cfg: dict, submitted: int) -> bool: + mode = str(cfg.get("mode") or "total") + metrics = self._pool_metrics() + self._bump(**metrics) + if mode == "quota": + reached = metrics["current_quota"] >= int(cfg.get("target_quota") or 1) + self._append_log(f"检查号池：当前正常账号={metrics['current_available']}，当前剩余额度={metrics['current_quota']}，目标额度={cfg.get('target_quota')}，{'跳过注册' if reached else '继续注册'}", "yellow") + return reached + if mode == "available": + reached = metrics["current_available"] >= int(cfg.get("target_available") or 1) + self._append_log(f"检查号池：当前正常账号={metrics['current_available']}，目标账号={cfg.get('target_available')}，当前剩余额度={metrics['current_quota']}，{'跳过注册' if reached else '继续注册'}", "yellow") + return reached + return submitted >= int(cfg.get("total") or 1) + + def _bump(self, **updates) -> None: + with self._lock: + self._config["stats"].update(updates) + stats = self._config["stats"] + started_at = str(stats.get("started_at") or "") + if started_at: + try: + elapsed = max(0.0, (datetime.now(timezone.utc) - datetime.fromisoformat(started_at)).total_seconds()) + except Exception: + elapsed = 0.0 + done = int(stats.get("done") or 0) + success = int(stats.get("success") or 0) + fail = int(stats.get("fail") or 0) + stats["elapsed_seconds"] = round(elapsed, 1) + stats["avg_seconds"] = round(elapsed / success, 1) if success else 0 + stats["success_rate"] = round(success * 100 / max(1, success + fail), 1) + self._config["stats"]["updated_at"] = _now() + self._save() + + def _run(self) -> None: + threads = int(self.get()["threads"]) + submitted, done, success, fail = 0, 0, 0, 0 + with ThreadPoolExecutor(max_workers=threads) as executor: + futures = set() + while True: + cfg = self.get() + while self.get()["enabled"] and not self._target_reached(cfg, submitted) and len(futures) < threads: + submitted += 1 + futures.add(executor.submit(openai_register.worker, submitted)) + self._bump(running=len(futures), done=done, success=success, fail=fail) + if not futures and (not self.get()["enabled"] or str(cfg.get("mode") or "total") == "total"): + break + if not futures: + time.sleep(max(1, int(cfg.get("check_interval") or 5))) + continue + finished, futures = wait(futures, return_when=FIRST_COMPLETED) + for future in finished: + done += 1 + try: + result = future.result() + success += 1 if result.get("ok") else 0 + fail += 0 if result.get("ok") else 1 + except Exception: + fail += 1 + self._bump(running=0, done=done, success=success, fail=fail, finished_at=_now()) + with self._lock: + self._config["enabled"] = False + self._save() + self._append_log(f"注册任务结束，成功{success}，失败{fail}", "yellow") + + +register_service = RegisterService(REGISTER_FILE) diff --git a/services/storage/__init__.py b/services/storage/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..0f32c64a60a2066fc162d7c0dbfb4f7d82e972d6 --- /dev/null +++ b/services/storage/__init__.py @@ -0,0 +1,5 @@ +from __future__ import annotations + +from services.storage.factory import create_storage_backend + +__all__ = ["create_storage_backend"] diff --git a/services/storage/base.py b/services/storage/base.py new file mode 100644 index 0000000000000000000000000000000000000000..14097b88c1224971d50f3d41fde4259636cbed8d --- /dev/null +++ b/services/storage/base.py @@ -0,0 +1,38 @@ +from __future__ import annotations + +from abc import ABC, abstractmethod +from typing import Any + + +class StorageBackend(ABC): + """抽象存储后端基类""" + + @abstractmethod + def load_accounts(self) -> list[dict[str, Any]]: + """加载所有账号数据""" + pass + + @abstractmethod + def save_accounts(self, accounts: list[dict[str, Any]]) -> None: + """保存所有账号数据""" + pass + + @abstractmethod + def load_auth_keys(self) -> list[dict[str, Any]]: + """加载所有鉴权密钥数据""" + pass + + @abstractmethod + def save_auth_keys(self, auth_keys: list[dict[str, Any]]) -> None: + """保存所有鉴权密钥数据""" + pass + + @abstractmethod + def health_check(self) -> dict[str, Any]: + """健康检查，返回存储后端状态""" + pass + + @abstractmethod + def get_backend_info(self) -> dict[str, Any]: + """获取存储后端信息""" + pass diff --git a/services/storage/database_storage.py b/services/storage/database_storage.py new file mode 100644 index 0000000000000000000000000000000000000000..91d8d8d1bc76c25891418d05e4dc8db8341fcdf5 --- /dev/null +++ b/services/storage/database_storage.py @@ -0,0 +1,174 @@ +from __future__ import annotations + +import json +from typing import Any + +from sqlalchemy import Column, String, Text, create_engine, Integer, text +from sqlalchemy.ext.declarative import declarative_base +from sqlalchemy.orm import sessionmaker + +from services.storage.base import StorageBackend + +Base = declarative_base() + + +class AccountModel(Base): + """账号数据模型""" + __tablename__ = "accounts" + + id = Column(Integer, primary_key=True, autoincrement=True) + access_token = Column(String(2048), unique=True, nullable=False, index=True) + data = Column(Text, nullable=False) # JSON 格式存储完整账号数据 + + +class AuthKeyModel(Base): + """鉴权密钥数据模型""" + __tablename__ = "auth_keys" + + id = Column(Integer, primary_key=True, autoincrement=True) + key_id = Column(String(255), unique=True, nullable=False, index=True) + data = Column(Text, nullable=False) + + +class DatabaseStorageBackend(StorageBackend): + """数据库存储后端（支持 SQLite、PostgreSQL、MySQL 等）""" + + def __init__(self, database_url: str): + self.database_url = database_url + self.engine = create_engine( + database_url, + pool_pre_ping=True, # 自动检测连接是否有效 + pool_recycle=3600, # 1小时回收连接 + ) + Base.metadata.create_all(self.engine) + self.Session = sessionmaker(bind=self.engine) + + def load_accounts(self) -> list[dict[str, Any]]: + """从数据库加载账号数据""" + session = self.Session() + try: + accounts = [] + for row in session.query(AccountModel).all(): + try: + account_data = json.loads(row.data) + if isinstance(account_data, dict): + accounts.append(account_data) + except json.JSONDecodeError: + continue + return accounts + finally: + session.close() + + def save_accounts(self, accounts: list[dict[str, Any]]) -> None: + """保存账号数据到数据库""" + self._save_rows(AccountModel, accounts, "access_token") + + def load_auth_keys(self) -> list[dict[str, Any]]: + """从数据库加载鉴权密钥数据""" + return self._load_rows(AuthKeyModel) + + def save_auth_keys(self, auth_keys: list[dict[str, Any]]) -> None: + """保存鉴权密钥数据到数据库""" + self._save_rows(AuthKeyModel, auth_keys, "id", "key_id") + + def _load_rows(self, model: type[AccountModel] | type[AuthKeyModel]) -> list[dict[str, Any]]: + session = self.Session() + try: + items = [] + for row in session.query(model).all(): + try: + item_data = json.loads(row.data) + if isinstance(item_data, dict): + items.append(item_data) + except json.JSONDecodeError: + continue + return items + finally: + session.close() + + def _save_rows( + self, + model: type[AccountModel] | type[AuthKeyModel], + items: list[dict[str, Any]], + source_key: str, + target_key: str | None = None, + ) -> None: + session = self.Session() + try: + session.query(model).delete() + for item in items: + if not isinstance(item, dict): + continue + key_value = str(item.get(source_key) or "").strip() + if not key_value: + continue + session.add( + model( + **{target_key or source_key: key_value}, + data=json.dumps(item, ensure_ascii=False), + ) + ) + session.commit() + except Exception as e: + session.rollback() + raise e + finally: + session.close() + + def health_check(self) -> dict[str, Any]: + """健康检查""" + try: + session = self.Session() + try: + # 尝试执行简单查询 + session.execute(text("SELECT 1")) + count = session.query(AccountModel).count() + auth_key_count = session.query(AuthKeyModel).count() + return { + "status": "healthy", + "backend": "database", + "database_url": self._mask_password(self.database_url), + "account_count": count, + "auth_key_count": auth_key_count, + } + finally: + session.close() + except Exception as e: + return { + "status": "unhealthy", + "backend": "database", + "error": str(e), + } + + def get_backend_info(self) -> dict[str, Any]: + """获取存储后端信息""" + db_type = "unknown" + if "sqlite" in self.database_url: + db_type = "sqlite" + elif "postgresql" in self.database_url or "postgres" in self.database_url: + db_type = "postgresql" + elif "mysql" in self.database_url: + db_type = "mysql" + + return { + "type": "database", + "db_type": db_type, + "description": f"数据库存储 ({db_type})", + "database_url": self._mask_password(self.database_url), + } + + @staticmethod + def _mask_password(url: str) -> str: + """隐藏数据库连接字符串中的密码""" + if "://" not in url: + return url + try: + protocol, rest = url.split("://", 1) + if "@" in rest: + credentials, host = rest.split("@", 1) + if ":" in credentials: + username, _ = credentials.split(":", 1) + return f"{protocol}://{username}:****@{host}" + return url + except Exception: + return url diff --git a/services/storage/factory.py b/services/storage/factory.py new file mode 100644 index 0000000000000000000000000000000000000000..585a4f207556776e9477a1ef46afca1392b887d9 --- /dev/null +++ b/services/storage/factory.py @@ -0,0 +1,104 @@ +from __future__ import annotations + +import os +from pathlib import Path + +from services.storage.base import StorageBackend +from services.storage.database_storage import DatabaseStorageBackend +from services.storage.git_storage import GitStorageBackend +from services.storage.json_storage import JSONStorageBackend + + +def create_storage_backend(data_dir: Path) -> StorageBackend: + """ + 根据环境变量创建存储后端 + + 环境变量： + - STORAGE_BACKEND: json|sqlite|postgres|git (默认 json) + - DATABASE_URL: 数据库连接字符串 (用于 sqlite/postgres) + - GIT_REPO_URL: Git 仓库地址 (用于 git) + - GIT_TOKEN: Git 访问令牌 (用于 git) + - GIT_BRANCH: Git 分支 (默认 main) + - GIT_FILE_PATH: Git 仓库中的文件路径 (默认 accounts.json) + """ + backend_type = os.getenv("STORAGE_BACKEND", "json").lower().strip() + + print(f"[storage] Initializing storage backend: {backend_type}") + + if backend_type == "json": + # 本地 JSON 文件存储 + file_path = data_dir / "accounts.json" + auth_keys_path = data_dir / "auth_keys.json" + print(f"[storage] Using JSON storage: {file_path}") + return JSONStorageBackend(file_path, auth_keys_path) + + elif backend_type in ("sqlite", "postgres", "postgresql", "mysql", "database"): + # 数据库存储 + database_url = os.getenv("DATABASE_URL", "").strip() + + if not database_url: + # 如果没有指定 DATABASE_URL，使用本地 SQLite + database_url = f"sqlite:///{data_dir / 'accounts.db'}" + print(f"[storage] No DATABASE_URL provided, using local SQLite: {database_url}") + else: + print(f"[storage] Using database storage: {_mask_password(database_url)}") + + return DatabaseStorageBackend(database_url) + + elif backend_type == "git": + # Git 仓库存储 + repo_url = os.getenv("GIT_REPO_URL", "").strip() + token = os.getenv("GIT_TOKEN", "").strip() + branch = os.getenv("GIT_BRANCH", "main").strip() + file_path = os.getenv("GIT_FILE_PATH", "accounts.json").strip() + auth_keys_file_path = os.getenv("GIT_AUTH_KEYS_FILE_PATH", "auth_keys.json").strip() + + if not repo_url: + raise ValueError( + "GIT_REPO_URL is required when using git storage backend. " + "Please set GIT_REPO_URL environment variable." + ) + + print(f"[storage] Using Git storage: {_mask_token(repo_url)}, branch: {branch}, file: {file_path}") + + cache_dir = data_dir / "git_cache" + return GitStorageBackend( + repo_url=repo_url, + token=token, + branch=branch, + file_path=file_path, + auth_keys_file_path=auth_keys_file_path, + local_cache_dir=cache_dir, + ) + + else: + raise ValueError( + f"Unknown storage backend: {backend_type}. " + f"Supported backends: json, sqlite, postgres, git" + ) + + +def _mask_password(url: str) -> str: + """隐藏数据库连接字符串中的密码""" + if "://" not in url: + return url + try: + protocol, rest = url.split("://", 1) + if "@" in rest: + credentials, host = rest.split("@", 1) + if ":" in credentials: + username, _ = credentials.split(":", 1) + return f"{protocol}://{username}:****@{host}" + return url + except Exception: + return url + + +def _mask_token(url: str) -> str: + """隐藏 URL 中的 token""" + if "@" in url and "://" in url: + protocol, rest = url.split("://", 1) + if "@" in rest: + _, host = rest.split("@", 1) + return f"{protocol}://****@{host}" + return url diff --git a/services/storage/git_storage.py b/services/storage/git_storage.py new file mode 100644 index 0000000000000000000000000000000000000000..33b062751970784c4516d0e291421db74abcdb53 --- /dev/null +++ b/services/storage/git_storage.py @@ -0,0 +1,183 @@ +from __future__ import annotations + +import json +import shutil +import tempfile +from pathlib import Path +from typing import Any + +from git import Repo +from git.exc import GitCommandError + +from services.storage.base import StorageBackend + + +class GitStorageBackend(StorageBackend): + """Git 私有仓库存储后端""" + + def __init__( + self, + repo_url: str, + token: str, + branch: str = "main", + file_path: str = "accounts.json", + auth_keys_file_path: str = "auth_keys.json", + local_cache_dir: Path | None = None, + ): + self.repo_url = repo_url + self.token = token + self.branch = branch + self.file_path = file_path + self.auth_keys_file_path = auth_keys_file_path + + # 本地缓存目录 + if local_cache_dir is None: + local_cache_dir = Path(tempfile.gettempdir()) / "chatgpt2api_git_cache" + self.local_cache_dir = local_cache_dir + self.local_cache_dir.mkdir(parents=True, exist_ok=True) + + # 构建带认证的 Git URL + self.auth_repo_url = self._build_auth_url(repo_url, token) + + @staticmethod + def _build_auth_url(repo_url: str, token: str) -> str: + """构建带认证的 Git URL""" + if not token: + return repo_url + + # 支持 HTTPS 格式：https://github.com/user/repo.git + if repo_url.startswith("https://"): + # 插入 token + return repo_url.replace("https://", f"https://{token}@") + + # 支持 git@ 格式：git@github.com:user/repo.git + # 转换为 HTTPS 格式 + if repo_url.startswith("git@"): + repo_url = repo_url.replace("git@", "https://") + repo_url = repo_url.replace(".com:", ".com/") + return repo_url.replace("https://", f"https://{token}@") + + return repo_url + + def _clone_or_pull(self) -> Repo: + """克隆或拉取仓库""" + repo_path = self.local_cache_dir / "repo" + + if repo_path.exists() and (repo_path / ".git").exists(): + # 仓库已存在，拉取最新代码 + try: + repo = Repo(repo_path) + origin = repo.remote("origin") + origin.pull(self.branch) + return repo + except GitCommandError: + # 拉取失败，删除重新克隆 + shutil.rmtree(repo_path) + + # 克隆仓库 + repo = Repo.clone_from( + self.auth_repo_url, + repo_path, + branch=self.branch, + ) + return repo + + def load_accounts(self) -> list[dict[str, Any]]: + """从 Git 仓库加载账号数据""" + try: + return self._load_json_file(self.file_path) + except Exception as e: + print(f"[git-storage] load failed: {e}") + raise + + def save_accounts(self, accounts: list[dict[str, Any]]) -> None: + """保存账号数据到 Git 仓库""" + try: + self._save_json_file(self.file_path, accounts, "Update accounts data") + except Exception as e: + print(f"[git-storage] save failed: {e}") + raise e + + def load_auth_keys(self) -> list[dict[str, Any]]: + """从 Git 仓库加载鉴权密钥数据""" + try: + data = self._load_json_value(self.auth_keys_file_path) + if isinstance(data, dict): + data = data.get("items") + return data if isinstance(data, list) else [] + except Exception as e: + print(f"[git-storage] load failed: {e}") + raise + + def save_auth_keys(self, auth_keys: list[dict[str, Any]]) -> None: + """保存鉴权密钥数据到 Git 仓库""" + try: + self._save_json_file(self.auth_keys_file_path, {"items": auth_keys}, "Update auth keys data") + except Exception as e: + print(f"[git-storage] save failed: {e}") + raise e + + def _load_json_file(self, file_path: str) -> list[dict[str, Any]]: + data = self._load_json_value(file_path) + return data if isinstance(data, list) else [] + + def _load_json_value(self, file_path: str) -> Any: + repo = self._clone_or_pull() + file_full_path = Path(repo.working_dir) / file_path + if not file_full_path.exists(): + return None + return json.loads(file_full_path.read_text(encoding="utf-8")) + + def _save_json_file(self, file_path: str, items: Any, message: str) -> None: + repo = self._clone_or_pull() + file_full_path = Path(repo.working_dir) / file_path + file_full_path.parent.mkdir(parents=True, exist_ok=True) + file_full_path.write_text( + json.dumps(items, ensure_ascii=False, indent=2) + "\n", + encoding="utf-8", + ) + repo.index.add([file_path]) + if repo.is_dirty(): + repo.index.commit(message) + repo.remote("origin").push(self.branch) + + def health_check(self) -> dict[str, Any]: + """健康检查""" + try: + repo = self._clone_or_pull() + return { + "status": "healthy", + "backend": "git", + "repo_url": self._mask_token(self.repo_url), + "branch": self.branch, + "file_path": self.file_path, + "auth_keys_file_path": self.auth_keys_file_path, + "last_commit": repo.head.commit.hexsha[:8], + } + except Exception as e: + return { + "status": "unhealthy", + "backend": "git", + "error": str(e), + } + + def get_backend_info(self) -> dict[str, Any]: + """获取存储后端信息""" + return { + "type": "git", + "description": "Git 私有仓库存储", + "repo_url": self._mask_token(self.repo_url), + "branch": self.branch, + "file_path": self.file_path, + "auth_keys_file_path": self.auth_keys_file_path, + } + + @staticmethod + def _mask_token(url: str) -> str: + """隐藏 URL 中的 token""" + if "@" in url and "://" in url: + protocol, rest = url.split("://", 1) + if "@" in rest: + _, host = rest.split("@", 1) + return f"{protocol}://****@{host}" + return url diff --git a/services/storage/json_storage.py b/services/storage/json_storage.py new file mode 100644 index 0000000000000000000000000000000000000000..591e376cf62ed3cda3e5e336bd4375a139373ba4 --- /dev/null +++ b/services/storage/json_storage.py @@ -0,0 +1,95 @@ +from __future__ import annotations + +import json +from pathlib import Path +from typing import Any + +from services.storage.base import StorageBackend + + +class JSONStorageBackend(StorageBackend): + """本地 JSON 文件存储后端""" + + def __init__(self, file_path: Path, auth_keys_path: Path | None = None): + self.file_path = file_path + self.auth_keys_path = auth_keys_path or file_path.with_name("auth_keys.json") + self.file_path.parent.mkdir(parents=True, exist_ok=True) + self.auth_keys_path.parent.mkdir(parents=True, exist_ok=True) + + @staticmethod + def _load_json_list(file_path: Path) -> list[dict[str, Any]]: + if not file_path.exists(): + return [] + try: + data = json.loads(file_path.read_text(encoding="utf-8")) + return data if isinstance(data, list) else [] + except (json.JSONDecodeError, Exception): + return [] + + @staticmethod + def _save_json_list(file_path: Path, items: list[dict[str, Any]]) -> None: + file_path.parent.mkdir(parents=True, exist_ok=True) + file_path.write_text( + json.dumps(items, ensure_ascii=False, indent=2) + "\n", + encoding="utf-8", + ) + + def load_accounts(self) -> list[dict[str, Any]]: + """从 JSON 文件加载账号数据""" + return self._load_json_list(self.file_path) + + def save_accounts(self, accounts: list[dict[str, Any]]) -> None: + """保存账号数据到 JSON 文件""" + self._save_json_list(self.file_path, accounts) + + def load_auth_keys(self) -> list[dict[str, Any]]: + """从 JSON 文件加载鉴权密钥数据""" + if not self.auth_keys_path.exists(): + return [] + try: + data = json.loads(self.auth_keys_path.read_text(encoding="utf-8")) + except (json.JSONDecodeError, Exception): + return [] + if isinstance(data, dict): + data = data.get("items") + return data if isinstance(data, list) else [] + + def save_auth_keys(self, auth_keys: list[dict[str, Any]]) -> None: + """保存鉴权密钥数据到 JSON 文件""" + self.auth_keys_path.parent.mkdir(parents=True, exist_ok=True) + self.auth_keys_path.write_text( + json.dumps({"items": auth_keys}, ensure_ascii=False, indent=2) + "\n", + encoding="utf-8", + ) + + def health_check(self) -> dict[str, Any]: + """健康检查""" + try: + # 检查文件是否可读写 + if self.file_path.exists(): + self.file_path.read_text(encoding="utf-8") + return { + "status": "healthy", + "backend": "json", + "file_exists": self.file_path.exists(), + "file_path": str(self.file_path), + "auth_keys_file_exists": self.auth_keys_path.exists(), + "auth_keys_file_path": str(self.auth_keys_path), + } + except Exception as e: + return { + "status": "unhealthy", + "backend": "json", + "error": str(e), + } + + def get_backend_info(self) -> dict[str, Any]: + """获取存储后端信息""" + return { + "type": "json", + "description": "本地 JSON 文件存储", + "file_path": str(self.file_path), + "file_exists": self.file_path.exists(), + "auth_keys_file_path": str(self.auth_keys_path), + "auth_keys_file_exists": self.auth_keys_path.exists(), + } diff --git a/services/sub2api_service.py b/services/sub2api_service.py new file mode 100644 index 0000000000000000000000000000000000000000..51635d58a164ed20662a52ea19c916a02e4f676f --- /dev/null +++ b/services/sub2api_service.py @@ -0,0 +1,523 @@ +"""Sub2API integration for browsing and importing ChatGPT OAuth accounts from a sub2api admin.""" + +from __future__ import annotations + +import json +import threading +import time +import uuid +from concurrent.futures import ThreadPoolExecutor, as_completed +from datetime import datetime, timezone +from pathlib import Path +from threading import Lock + +from curl_cffi.requests import Session + +from services.account_service import account_service +from services.config import DATA_DIR + + +SUB2API_CONFIG_FILE = DATA_DIR / "sub2api_config.json" + +# Cached JWT per server to avoid re-login on every list/import call. +# Token lifetime on sub2api defaults to 24h; we refresh 5 min before expiry. +_TOKEN_REFRESH_SKEW = 5 * 60 + + +def _new_id() -> str: + return uuid.uuid4().hex[:12] + + +def _now_iso() -> str: + return datetime.now(timezone.utc).isoformat() + + +def _clean(value: object) -> str: + return str(value or "").strip() + + +def _normalize_import_job(raw: object, *, fail_unfinished: bool) -> dict | None: + if not isinstance(raw, dict): + return None + status = _clean(raw.get("status")) or "failed" + if fail_unfinished and status in {"pending", "running"}: + status = "failed" + return { + "job_id": _clean(raw.get("job_id")) or uuid.uuid4().hex, + "status": status, + "created_at": _clean(raw.get("created_at")) or _now_iso(), + "updated_at": _clean(raw.get("updated_at")) or _clean(raw.get("created_at")) or _now_iso(), + "total": int(raw.get("total") or 0), + "completed": int(raw.get("completed") or 0), + "added": int(raw.get("added") or 0), + "skipped": int(raw.get("skipped") or 0), + "refreshed": int(raw.get("refreshed") or 0), + "failed": int(raw.get("failed") or 0), + "errors": raw.get("errors") if isinstance(raw.get("errors"), list) else [], + } + + +def _normalize_server(raw: dict) -> dict: + return { + "id": _clean(raw.get("id")) or _new_id(), + "name": _clean(raw.get("name")), + "base_url": _clean(raw.get("base_url")), + "email": _clean(raw.get("email")), + "password": _clean(raw.get("password")), + "api_key": _clean(raw.get("api_key")), + "group_id": _clean(raw.get("group_id")), + "import_job": _normalize_import_job(raw.get("import_job"), fail_unfinished=True), + } + + +class Sub2APIConfig: + def __init__(self, store_file: Path): + self._store_file = store_file + self._lock = Lock() + self._servers: list[dict] = self._load() + + def _load(self) -> list[dict]: + if not self._store_file.exists(): + return [] + try: + raw = json.loads(self._store_file.read_text(encoding="utf-8")) + if isinstance(raw, list): + return [_normalize_server(item) for item in raw if isinstance(item, dict)] + except Exception: + pass + return [] + + def _save(self) -> None: + self._store_file.parent.mkdir(parents=True, exist_ok=True) + self._store_file.write_text( + json.dumps(self._servers, ensure_ascii=False, indent=2) + "\n", + encoding="utf-8", + ) + + def list_servers(self) -> list[dict]: + with self._lock: + return [dict(server) for server in self._servers] + + def get_server(self, server_id: str) -> dict | None: + with self._lock: + for server in self._servers: + if server["id"] == server_id: + return dict(server) + return None + + def add_server( + self, + *, + name: str, + base_url: str, + email: str, + password: str, + api_key: str, + group_id: str = "", + ) -> dict: + server = _normalize_server({ + "id": _new_id(), + "name": name, + "base_url": base_url, + "email": email, + "password": password, + "api_key": api_key, + "group_id": group_id, + }) + with self._lock: + self._servers.append(server) + self._save() + _token_cache.pop(server["id"], None) + return dict(server) + + def update_server(self, server_id: str, updates: dict) -> dict | None: + with self._lock: + for index, server in enumerate(self._servers): + if server["id"] != server_id: + continue + merged = {**server, **{k: v for k, v in updates.items() if v is not None}, "id": server_id} + self._servers[index] = _normalize_server(merged) + self._save() + result = dict(self._servers[index]) + break + else: + return None + _token_cache.pop(server_id, None) + return result + + def delete_server(self, server_id: str) -> bool: + with self._lock: + before = len(self._servers) + self._servers = [server for server in self._servers if server["id"] != server_id] + removed = len(self._servers) < before + if removed: + self._save() + if removed: + _token_cache.pop(server_id, None) + return removed + + def set_import_job(self, server_id: str, import_job: dict | None) -> dict | None: + with self._lock: + for index, server in enumerate(self._servers): + if server["id"] != server_id: + continue + next_server = dict(server) + next_server["import_job"] = _normalize_import_job(import_job, fail_unfinished=False) + self._servers[index] = next_server + self._save() + return dict(next_server) + return None + + def get_import_job(self, server_id: str) -> dict | None: + with self._lock: + for server in self._servers: + if server["id"] == server_id: + job = server.get("import_job") + return dict(job) if isinstance(job, dict) else None + return None + + +# Per-server cached access token: {server_id: (jwt, expires_at_epoch)} +_token_cache: dict[str, tuple[str, float]] = {} +_token_cache_lock = Lock() + + +def _login(base_url: str, email: str, password: str) -> tuple[str, float]: + url = f"{base_url.rstrip('/')}/api/v1/auth/login" + session = Session(verify=True) + try: + response = session.post( + url, + json={"email": email, "password": password}, + headers={"Accept": "application/json", "Content-Type": "application/json"}, + timeout=30, + ) + if not response.ok: + raise RuntimeError(f"sub2api login failed: HTTP {response.status_code} {response.text[:200]}") + payload = response.json() + finally: + session.close() + + body = _unwrap_envelope(payload) + if not isinstance(body, dict): + raise RuntimeError("sub2api login payload is invalid") + + token = _clean(body.get("access_token")) + if not token: + raise RuntimeError("sub2api login did not return access_token") + + expires_in = int(body.get("expires_in") or 3600) + expires_at = time.time() + max(60, expires_in) - _TOKEN_REFRESH_SKEW + return token, expires_at + + +def _auth_headers(server: dict) -> dict[str, str]: + api_key = _clean(server.get("api_key")) + if api_key: + return {"x-api-key": api_key, "Accept": "application/json"} + + email = _clean(server.get("email")) + password = _clean(server.get("password")) + if not email or not password: + raise RuntimeError("sub2api server requires email+password or api_key") + + server_id = _clean(server.get("id")) + base_url = _clean(server.get("base_url")) + + with _token_cache_lock: + cached = _token_cache.get(server_id) + if cached and cached[1] > time.time(): + return {"Authorization": f"Bearer {cached[0]}", "Accept": "application/json"} + + token, expires_at = _login(base_url, email, password) + with _token_cache_lock: + _token_cache[server_id] = (token, expires_at) + return {"Authorization": f"Bearer {token}", "Accept": "application/json"} + + +def _extract_access_token(credentials: object) -> str: + if not isinstance(credentials, dict): + return "" + for key in ("access_token", "accessToken", "token"): + value = _clean(credentials.get(key)) + if value: + return value + return "" + + +def _unwrap_envelope(payload: object) -> object: + """Peel sub2api's `{code, message, data}` envelope, returning the inner `data` field + when present. Also handles unwrapped responses from older/alt versions.""" + if isinstance(payload, dict) and "data" in payload and "code" in payload: + return payload.get("data") + return payload + + +def _extract_paged_items(payload: object) -> tuple[list, int]: + """Return (items, total) from a paginated sub2api response. + + Handles both the wrapped shape `{code,data:{items,total,...}}` and a few looser + variants (`{data:[...]}`, `[...]`, `{items:[...],total:N}`).""" + inner = _unwrap_envelope(payload) + if isinstance(inner, list): + return inner, len(inner) + if isinstance(inner, dict): + for key in ("items", "data", "list"): + value = inner.get(key) + if isinstance(value, list): + return value, int(inner.get("total") or len(value)) + return [], 0 + + +def list_remote_accounts(server: dict) -> list[dict]: + """Return a flat list of OpenAI OAuth accounts from a sub2api server.""" + base_url = _clean(server.get("base_url")) + if not base_url: + return [] + + headers = _auth_headers(server) + group_id = _clean(server.get("group_id")) + + session = Session(verify=True) + items: list[dict] = [] + try: + page = 1 + while True: + params: dict[str, object] = { + "platform": "openai", + "type": "oauth", + "page": page, + "page_size": 200, + } + if group_id: + params["group"] = group_id + response = session.get( + f"{base_url.rstrip('/')}/api/v1/admin/accounts", + headers=headers, + params=params, + timeout=30, + ) + if not response.ok: + raise RuntimeError(f"sub2api list failed: HTTP {response.status_code} {response.text[:200]}") + payload = response.json() + + data, total = _extract_paged_items(payload) + if not data: + break + + for account in data: + if not isinstance(account, dict): + continue + credentials = account.get("credentials") if isinstance(account.get("credentials"), dict) else {} + access_token = _extract_access_token(credentials) + if not access_token: + continue + account_id = account.get("id") + items.append({ + "id": str(account_id) if account_id is not None else _clean(credentials.get("chatgpt_account_id")), + "name": _clean(account.get("name")), + "email": _clean(credentials.get("email")) or _clean(account.get("name")), + "plan_type": _clean(credentials.get("plan_type")), + "status": _clean(account.get("status")), + "expires_at": _clean(credentials.get("expires_at")), + "has_refresh_token": bool(_clean(credentials.get("refresh_token"))), + }) + + if page * 200 >= total or len(data) < 200: + break + page += 1 + finally: + session.close() + + return items + + +def list_remote_groups(server: dict) -> list[dict]: + """Return OpenAI account groups from a sub2api server.""" + base_url = _clean(server.get("base_url")) + if not base_url: + return [] + + headers = _auth_headers(server) + + session = Session(verify=True) + items: list[dict] = [] + try: + page = 1 + while True: + response = session.get( + f"{base_url.rstrip('/')}/api/v1/admin/groups", + headers=headers, + params={ + "page": page, + "page_size": 200, + }, + timeout=30, + ) + if not response.ok: + raise RuntimeError(f"sub2api groups failed: HTTP {response.status_code} {response.text[:200]}") + payload = response.json() + + data, total = _extract_paged_items(payload) + if not data: + break + + for group in data: + if not isinstance(group, dict): + continue + group_id = group.get("id") + if group_id is None: + continue + items.append({ + "id": str(group_id), + "name": _clean(group.get("name")), + "description": _clean(group.get("description")), + "platform": _clean(group.get("platform")), + "status": _clean(group.get("status")), + "account_count": int(group.get("account_count") or 0), + "active_account_count": int(group.get("active_account_count") or 0), + }) + + if page * 200 >= total or len(data) < 200: + break + page += 1 + finally: + session.close() + + return items + + +def _fetch_access_token_for_account(server: dict, account_id: str) -> tuple[str, dict]: + """Return (access_token, account_meta) for a single sub2api account id.""" + base_url = _clean(server.get("base_url")) + headers = _auth_headers(server) + + session = Session(verify=True) + try: + response = session.get( + f"{base_url.rstrip('/')}/api/v1/admin/accounts/{account_id}", + headers=headers, + timeout=30, + ) + if not response.ok: + raise RuntimeError(f"HTTP {response.status_code}") + payload = response.json() + finally: + session.close() + + account = _unwrap_envelope(payload) + if not isinstance(account, dict): + account = payload if isinstance(payload, dict) else {} + credentials = account.get("credentials") if isinstance(account.get("credentials"), dict) else {} + access_token = _extract_access_token(credentials) + if not access_token: + raise RuntimeError("missing access_token") + return access_token, { + "email": _clean(credentials.get("email")), + "plan_type": _clean(credentials.get("plan_type")), + } + + +class Sub2APIImportService: + def __init__(self, sub2api_config: Sub2APIConfig): + self._config = sub2api_config + + def start_import(self, server: dict, account_ids: list[str]) -> dict: + ids = [_clean(item) for item in account_ids if _clean(item)] + if not ids: + raise ValueError("account ids is required") + + server_id = _clean(server.get("id")) + job = { + "job_id": uuid.uuid4().hex, + "status": "pending", + "created_at": _now_iso(), + "updated_at": _now_iso(), + "total": len(ids), + "completed": 0, + "added": 0, + "skipped": 0, + "refreshed": 0, + "failed": 0, + "errors": [], + } + saved = self._config.set_import_job(server_id, job) + if saved is None: + raise ValueError("server not found") + + thread = threading.Thread( + target=self._run_import, + args=(server_id, server, ids), + name=f"sub2api-import-{server_id}", + daemon=True, + ) + thread.start() + return dict(saved.get("import_job") or job) + + def _update_job(self, server_id: str, **updates) -> None: + current = self._config.get_import_job(server_id) + if current is None: + return + next_job = {**current, **updates, "updated_at": _now_iso()} + self._config.set_import_job(server_id, next_job) + + def _append_error(self, server_id: str, account_id: str, message: str) -> None: + current = self._config.get_import_job(server_id) + if current is None: + return + errors = list(current.get("errors") or []) + errors.append({"name": account_id, "error": message}) + self._update_job(server_id, errors=errors, failed=len(errors)) + + def _run_import(self, server_id: str, server: dict, account_ids: list[str]) -> None: + self._update_job(server_id, status="running") + + tokens: list[str] = [] + max_workers = min(8, max(1, len(account_ids))) + with ThreadPoolExecutor(max_workers=max_workers) as executor: + future_map = { + executor.submit(_fetch_access_token_for_account, server, account_id): account_id + for account_id in account_ids + } + for future in as_completed(future_map): + account_id = future_map[future] + try: + token, _meta = future.result() + tokens.append(token) + except Exception as exc: + self._append_error(server_id, account_id, str(exc) or "unknown error") + + current = self._config.get_import_job(server_id) or {} + failed = len(current.get("errors") or []) + self._update_job( + server_id, + completed=int(current.get("completed") or 0) + 1, + failed=failed, + ) + + if not tokens: + current = self._config.get_import_job(server_id) or {} + self._update_job( + server_id, + status="failed", + completed=int(current.get("total") or 0), + failed=len(current.get("errors") or []), + ) + return + + add_result = account_service.add_accounts(tokens, source_type="codex") + refresh_result = account_service.refresh_accounts(tokens) + current = self._config.get_import_job(server_id) or {} + self._update_job( + server_id, + status="completed", + completed=len(account_ids), + added=int(add_result.get("added") or 0), + skipped=int(add_result.get("skipped") or 0), + refreshed=int(refresh_result.get("refreshed") or 0), + failed=len(current.get("errors") or []), + ) + + +sub2api_config = Sub2APIConfig(SUB2API_CONFIG_FILE) +sub2api_import_service = Sub2APIImportService(sub2api_config) diff --git a/test/__init__.py b/test/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..8b137891791fe96927ad78e64b0aad7bded08bdc --- /dev/null +++ b/test/__init__.py @@ -0,0 +1 @@ + diff --git a/test/test_account_export.py b/test/test_account_export.py new file mode 100644 index 0000000000000000000000000000000000000000..095c5dbf6d1d846cb801f73e7e19a71f88d5e532 --- /dev/null +++ b/test/test_account_export.py @@ -0,0 +1,118 @@ +import base64 +import json +import unittest +from typing import Any + +from services.account_service import AccountService + + +class MemoryStorage: + def __init__(self, accounts: list[dict[str, Any]] | None = None) -> None: + self.accounts = list(accounts or []) + + def load_accounts(self) -> list[dict[str, Any]]: + return list(self.accounts) + + def save_accounts(self, accounts: list[dict[str, Any]]) -> None: + self.accounts = list(accounts) + + def load_auth_keys(self) -> list[dict[str, Any]]: + return [] + + def save_auth_keys(self, auth_keys: list[dict[str, Any]]) -> None: + pass + + def health_check(self) -> dict[str, Any]: + return {"ok": True} + + def get_backend_info(self) -> dict[str, Any]: + return {"type": "memory"} + + +def make_jwt(payload: dict[str, Any]) -> str: + def encode(value: dict[str, Any]) -> str: + raw = json.dumps(value, separators=(",", ":")).encode("utf-8") + return base64.urlsafe_b64encode(raw).decode("ascii").rstrip("=") + + return f'{encode({"alg": "none", "typ": "JWT"})}.{encode(payload)}.sig' + + +class AccountExportTests(unittest.TestCase): + def test_build_export_items_uses_codex_shape_and_jwt_claims(self) -> None: + access_token = make_jwt( + { + "exp": 0, + "iat": 3600, + "https://api.openai.com/auth": {"chatgpt_account_id": "acct_123"}, + "https://api.openai.com/profile": {"email": "test@example.com"}, + } + ) + id_token = make_jwt({"email": "fallback@example.com"}) + service = AccountService( + MemoryStorage( + [ + { + "access_token": access_token, + "id_token": id_token, + "refresh_token": "rt_test", + } + ] + ) + ) + + [item] = service.build_export_items([access_token]) + + self.assertEqual(item["type"], "codex") + self.assertEqual(item["email"], "test@example.com") + self.assertEqual(item["expired"], "1970-01-01T08:00:00+08:00") + self.assertEqual(item["account_id"], "acct_123") + self.assertEqual(item["access_token"], access_token) + self.assertEqual(item["last_refresh"], "1970-01-01T09:00:00+08:00") + self.assertEqual(item["id_token"], id_token) + self.assertEqual(item["refresh_token"], "rt_test") + + def test_build_export_items_skips_accounts_missing_complete_tokens(self) -> None: + complete_access_token = make_jwt({"exp": 0}) + complete_id_token = make_jwt({"email": "complete@example.com"}) + service = AccountService( + MemoryStorage( + [ + {"access_token": "only_access"}, + {"access_token": "missing_id", "refresh_token": "rt_missing_id"}, + {"access_token": complete_access_token, "id_token": complete_id_token, "refresh_token": "rt_complete"}, + ] + ) + ) + + items = service.build_export_items() + + self.assertEqual(len(items), 1) + self.assertEqual(items[0]["access_token"], complete_access_token) + self.assertEqual(items[0]["id_token"], complete_id_token) + self.assertEqual(items[0]["refresh_token"], "rt_complete") + + def test_add_account_items_preserves_export_fields_without_overwriting_plan_type(self) -> None: + service = AccountService(MemoryStorage()) + + result = service.add_account_items( + [ + { + "type": "codex", + "access_token": "access_token_test", + "refresh_token": "rt_test", + "account_id": "acct_123", + } + ] + ) + + account = service.get_account("access_token_test") + self.assertEqual(result["added"], 1) + self.assertIsNotNone(account) + self.assertEqual(account["type"], "free") + self.assertEqual(account["export_type"], "codex") + self.assertEqual(account["refresh_token"], "rt_test") + self.assertEqual(account["account_id"], "acct_123") + + +if __name__ == "__main__": + unittest.main() diff --git a/test/test_account_image_capabilities.py b/test/test_account_image_capabilities.py new file mode 100644 index 0000000000000000000000000000000000000000..5aaf01c0590514f79dd71e60fb932a9b155815d3 --- /dev/null +++ b/test/test_account_image_capabilities.py @@ -0,0 +1,182 @@ +from __future__ import annotations + +import os +import tempfile +import unittest +from pathlib import Path + +os.environ.setdefault("CHATGPT2API_AUTH_KEY", "test-auth") + +from services.account_service import AccountService +from services.auth_service import AuthService +from services.storage.json_storage import JSONStorageBackend +from utils.helper import anonymize_token, split_image_model + + +class AccountCapabilityTests(unittest.TestCase): + def test_unknown_quota_accounts_are_available_only_when_not_throttled(self) -> None: + self.assertFalse( + AccountService._is_image_account_available( + {"status": "限流", "image_quota_unknown": True, "quota": 0} + ) + ) + self.assertTrue( + AccountService._is_image_account_available( + {"status": "正常", "image_quota_unknown": True, "quota": 0} + ) + ) + + def test_prolite_variants_are_normalized(self) -> None: + with tempfile.TemporaryDirectory() as tmp_dir: + service = AccountService(JSONStorageBackend(Path(tmp_dir) / "accounts.json")) + self.assertEqual(service._normalize_account_type("prolite"), "ProLite") + self.assertEqual(service._normalize_account_type("pro_lite"), "ProLite") + + def test_search_account_type_ignores_unrelated_scalar_values(self) -> None: + with tempfile.TemporaryDirectory() as tmp_dir: + service = AccountService(JSONStorageBackend(Path(tmp_dir) / "accounts.json")) + self.assertIsNone( + service._search_account_type( + { + "amr": ["pwd", "otp", "mfa"], + "chatgpt_compute_residency": "no_constraint", + "chatgpt_data_residency": "no_constraint", + "user_id": "user-I52GFfLGFM0dokFk2dBiKEBn", + } + ) + ) + + def test_mark_image_result_does_not_consume_unknown_quota(self) -> None: + with tempfile.TemporaryDirectory() as tmp_dir: + service = AccountService(JSONStorageBackend(Path(tmp_dir) / "accounts.json")) + service.add_accounts(["token-1"]) + service.update_account( + "token-1", + { + "status": "正常", + "quota": 0, + "image_quota_unknown": True, + }, + ) + + updated = service.mark_image_result("token-1", success=True) + + self.assertIsNotNone(updated) + self.assertEqual(updated["quota"], 0) + self.assertEqual(updated["status"], "正常") + self.assertTrue(updated["image_quota_unknown"]) + + def test_split_image_model_supports_plan_type_prefix(self) -> None: + self.assertEqual(split_image_model("gpt-image-2"), (None, "gpt-image-2")) + self.assertEqual(split_image_model("plus-codex-gpt-image-2"), ("plus", "codex-gpt-image-2")) + self.assertEqual(split_image_model("team-codex-gpt-image-2"), ("team", "codex-gpt-image-2")) + self.assertEqual(split_image_model("pro-codex-gpt-image-2"), ("pro", "codex-gpt-image-2")) + self.assertEqual(split_image_model("plus-gpt-image-2"), (None, None)) + self.assertEqual(split_image_model("unknown-image-model"), (None, None)) + + def test_get_available_access_token_filters_by_plan_type(self) -> None: + with tempfile.TemporaryDirectory() as tmp_dir: + service = AccountService(JSONStorageBackend(Path(tmp_dir) / "accounts.json")) + service.add_account_items( + [ + {"access_token": "token-plus", "type": "Plus", "status": "正常", "quota": 3}, + {"access_token": "token-pro", "type": "Pro", "status": "正常", "quota": 3}, + ] + ) + + service.fetch_remote_info = lambda access_token, event="fetch_remote_info": service.get_account(access_token) + + plus_token = service.get_available_access_token(plan_type="plus") + pro_token = service.get_available_access_token(plan_type="pro") + service.release_image_slot(plus_token) + service.release_image_slot(pro_token) + + self.assertEqual(plus_token, "token-plus") + self.assertEqual(pro_token, "token-pro") + + +class TokenLogTests(unittest.TestCase): + def test_anonymize_token_hides_raw_value(self) -> None: + token = "super-secret-token" + token_ref = anonymize_token(token) + + self.assertTrue(token_ref.startswith("token:")) + self.assertNotIn(token, token_ref) + + +class AuthServiceTests(unittest.TestCase): + def test_create_authenticate_disable_and_delete_user_key(self) -> None: + with tempfile.TemporaryDirectory() as tmp_dir: + service = AuthService(JSONStorageBackend(Path(tmp_dir) / "accounts.json", Path(tmp_dir) / "auth_keys.json")) + + item, raw_key = service.create_key(role="user", name="Alice") + + self.assertEqual(item["role"], "user") + self.assertEqual(item["name"], "Alice") + self.assertTrue(item["enabled"]) + self.assertTrue(raw_key.startswith("sk-")) + + authed = service.authenticate(raw_key) + self.assertIsNotNone(authed) + self.assertEqual(authed["id"], item["id"]) + self.assertEqual(authed["role"], "user") + self.assertIsNotNone(authed["last_used_at"]) + + updated = service.update_key(item["id"], {"enabled": False}, role="user") + self.assertIsNotNone(updated) + self.assertFalse(updated["enabled"]) + self.assertIsNone(service.authenticate(raw_key)) + + self.assertTrue(service.delete_key(item["id"], role="user")) + self.assertFalse(service.delete_key(item["id"], role="user")) + self.assertEqual(service.list_keys(role="user"), []) + + def test_authenticate_ignores_last_used_save_failure(self) -> None: + with tempfile.TemporaryDirectory() as tmp_dir: + service = AuthService(JSONStorageBackend(Path(tmp_dir) / "accounts.json", Path(tmp_dir) / "auth_keys.json")) + item, raw_key = service.create_key(role="user", name="Alice") + + def fail_save() -> None: + raise OSError("disk unavailable") + + service._save = fail_save + + authed = service.authenticate(raw_key) + + self.assertIsNotNone(authed) + self.assertEqual(authed["id"], item["id"]) + self.assertIsNotNone(authed["last_used_at"]) + + def test_update_user_key_replaces_raw_key(self) -> None: + with tempfile.TemporaryDirectory() as tmp_dir: + service = AuthService(JSONStorageBackend(Path(tmp_dir) / "accounts.json", Path(tmp_dir) / "auth_keys.json")) + item, raw_key = service.create_key(role="user", name="Alice") + + updated = service.update_key(item["id"], {"key": "sk-user-custom-key"}, role="user") + + self.assertIsNotNone(updated) + self.assertIsNone(service.authenticate(raw_key)) + + authed = service.authenticate("sk-user-custom-key") + self.assertIsNotNone(authed) + self.assertEqual(authed["id"], item["id"]) + + def test_user_key_name_must_be_unique(self) -> None: + with tempfile.TemporaryDirectory() as tmp_dir: + service = AuthService(JSONStorageBackend(Path(tmp_dir) / "accounts.json", Path(tmp_dir) / "auth_keys.json")) + first, _ = service.create_key(role="user", name="Alice") + second, _ = service.create_key(role="user", name="Bob") + + with self.assertRaisesRegex(ValueError, "这个名称已经在使用中了"): + service.create_key(role="user", name="Alice") + + with self.assertRaisesRegex(ValueError, "这个名称已经在使用中了"): + service.update_key(second["id"], {"name": "Alice"}, role="user") + + updated = service.update_key(first["id"], {"name": "Alice"}, role="user") + self.assertIsNotNone(updated) + self.assertEqual(updated["name"], "Alice") + + +if __name__ == "__main__": + unittest.main() diff --git a/test/test_chat_completion_cache.py b/test/test_chat_completion_cache.py new file mode 100644 index 0000000000000000000000000000000000000000..785b2b88bfa1a40f8d9b58eeaa6abe78809c5b20 --- /dev/null +++ b/test/test_chat_completion_cache.py @@ -0,0 +1,336 @@ +from __future__ import annotations + +import unittest +from unittest import mock +import json +import base64 + +from services.config import config +from services.protocol import openai_v1_chat_complete, openai_v1_response +from services.protocol.chat_completion_cache import chat_completion_cache +from services.protocol.conversation import iter_conversation_payloads, sanitize_output_text +from utils.helper import extract_image_from_message_content + + +PNG_1X1 = base64.b64decode( + "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAIAAACQd1PeAAAADUlEQVR4nGP8z8BQDwAFgwJ/luzl4wAAAABJRU5ErkJggg==" +) +PNG_1X1_DATA_URL = "data:image/png;base64," + base64.b64encode(PNG_1X1).decode("ascii") + + +class ChatCompletionCacheTests(unittest.TestCase): + def setUp(self) -> None: + self.old_cache_settings = config.data.get("chat_completion_cache") + config.data["chat_completion_cache"] = { + "enabled": True, + "ttl_seconds": 60, + "max_entries": 32, + "dedupe_inflight": True, + "stream_cache": True, + "normalize_messages": True, + "drop_adjacent_duplicates": True, + "drop_assistant_history": False, + } + chat_completion_cache.clear() + + def tearDown(self) -> None: + if self.old_cache_settings is None: + config.data.pop("chat_completion_cache", None) + else: + config.data["chat_completion_cache"] = self.old_cache_settings + chat_completion_cache.clear() + + def test_repeated_non_stream_text_completion_uses_cache(self) -> None: + calls = 0 + + def fake_collect_text(_backend, _request): + nonlocal calls + calls += 1 + return f"cached answer {calls}" + + body = { + "model": "auto", + "messages": [{"role": "user", "content": "cache this exact prompt"}], + } + + with ( + mock.patch("services.protocol.openai_v1_chat_complete.text_backend", return_value=object()), + mock.patch("services.protocol.openai_v1_chat_complete.collect_text", side_effect=fake_collect_text), + ): + first = openai_v1_chat_complete.handle(body) + second = openai_v1_chat_complete.handle(body) + + self.assertEqual(calls, 1) + self.assertEqual( + first["choices"][0]["message"]["content"], + second["choices"][0]["message"]["content"], + ) + + def test_repeated_stream_text_completion_replays_cached_chunks(self) -> None: + calls = 0 + + def fake_stream_text_deltas(_backend, _request): + nonlocal calls + calls += 1 + yield "streamed" + yield " answer" + + body = { + "model": "auto", + "stream": True, + "messages": [{"role": "user", "content": "stream cache this exact prompt"}], + } + + with ( + mock.patch("services.protocol.openai_v1_chat_complete.text_backend", return_value=object()), + mock.patch( + "services.protocol.openai_v1_chat_complete.stream_text_deltas", + side_effect=fake_stream_text_deltas, + ), + ): + first = list(openai_v1_chat_complete.handle(body)) + second = list(openai_v1_chat_complete.handle(body)) + + self.assertEqual(calls, 1) + self.assertEqual(first, second) + content = "".join(str(chunk["choices"][0]["delta"].get("content") or "") for chunk in second) + self.assertEqual(content, "streamed answer") + + def test_adjacent_duplicate_messages_are_removed_before_upstream_call(self) -> None: + captured_messages = [] + + def fake_collect_text(_backend, request): + captured_messages.extend(request.messages or []) + return "ok" + + body = { + "model": "auto", + "messages": [ + {"role": "user", "content": "repeat me"}, + {"role": "user", "content": "repeat me"}, + {"role": "assistant", "content": "old answer"}, + {"role": "user", "content": "next prompt"}, + ], + } + + with ( + mock.patch("services.protocol.openai_v1_chat_complete.text_backend", return_value=object()), + mock.patch("services.protocol.openai_v1_chat_complete.collect_text", side_effect=fake_collect_text), + ): + openai_v1_chat_complete.handle(body) + + self.assertEqual( + captured_messages, + [ + {"role": "user", "content": "repeat me"}, + {"role": "assistant", "content": "old answer"}, + {"role": "user", "content": "next prompt"}, + ], + ) + + def test_chat_completion_usage_includes_cached_tokens(self) -> None: + with ( + mock.patch("services.protocol.openai_v1_chat_complete.text_backend", return_value=object()), + mock.patch("services.protocol.openai_v1_chat_complete.collect_text", return_value="ok"), + ): + response = openai_v1_chat_complete.handle({ + "model": "auto", + "messages": [{"role": "user", "content": "usage shape"}], + }) + + details = response["usage"]["prompt_tokens_details"] + self.assertEqual(details["cached_tokens"], 0) + output_details = response["usage"]["completion_tokens_details"] + self.assertEqual(output_details["reasoning_tokens"], 0) + + def test_responses_completed_usage_includes_cached_tokens(self) -> None: + with ( + mock.patch("services.protocol.openai_v1_response.text_backend", return_value=object()), + mock.patch("services.protocol.openai_v1_response.stream_text_deltas", return_value=iter(["ok"])), + ): + response = openai_v1_response.handle({ + "model": "auto", + "input": "usage shape", + }) + + details = response["usage"]["input_tokens_details"] + self.assertEqual(details["cached_tokens"], 0) + output_details = response["usage"]["output_tokens_details"] + self.assertEqual(output_details["reasoning_tokens"], 0) + + def test_repeated_responses_text_request_uses_cache(self) -> None: + calls = 0 + + def fake_stream_text_deltas(_backend, _request): + nonlocal calls + calls += 1 + yield f"response cache {calls}" + + body = { + "model": "auto", + "input": "cache this responses prompt", + "stream": True, + } + + with ( + mock.patch("services.protocol.openai_v1_response.text_backend", return_value=object()), + mock.patch("services.protocol.openai_v1_response.stream_text_deltas", side_effect=fake_stream_text_deltas), + ): + first = list(openai_v1_response.handle(body)) + second = list(openai_v1_response.handle(body)) + + self.assertEqual(calls, 1) + self.assertEqual(first, second) + + def test_output_sanitizer_removes_chatgpt_annotation_markup(self) -> None: + text = ( + "Repo: \ue200url\ue202basketikun/chatgpt2api" + "\ue202https://github.com/basketikun/chatgpt2api\ue201 " + "details \ue200cite\ue202turn0search0\ue201." + ) + + self.assertEqual( + sanitize_output_text(text), + "Repo: basketikun/chatgpt2api (https://github.com/basketikun/chatgpt2api) details.", + ) + + def test_output_sanitizer_preserves_annotated_entity_text(self) -> None: + text = ( + "The character is from \ue200entity\ue202Invincible\ue201, " + "which is based on the comic series \ue200entity\ue202Invincible\ue201." + ) + + self.assertEqual( + sanitize_output_text(text), + "The character is from Invincible, which is based on the comic series Invincible.", + ) + + def test_output_sanitizer_preserves_readable_cite_label(self) -> None: + text = "The character is \ue200cite\ue202Invincible\ue202turn0search0\ue201." + + self.assertEqual(sanitize_output_text(text), "The character is Invincible.") + + def test_stream_sanitizer_does_not_emit_partial_annotation_or_repeat_prefix(self) -> None: + events = [ + {"p": "/message/content/parts/0", "o": "append", "v": "Repo: \ue200url\ue202chat"}, + {"p": "/message/content/parts/0", "o": "append", "v": "gpt2api\ue202turn0search0\ue201 done \ue200cite\ue202turn0\ue201."}, + "[DONE]", + ] + payloads = [json.dumps(event, ensure_ascii=False) if isinstance(event, dict) else event for event in events] + deltas = [ + str(event.get("delta") or "") + for event in iter_conversation_payloads(iter(payloads)) + if event.get("type") == "conversation.delta" + ] + + self.assertEqual("".join(deltas), "Repo: chatgpt2api done.") + self.assertFalse(any("\ue200" in delta or "\ue202" in delta or "\ue201" in delta for delta in deltas)) + + def test_responses_tools_add_honest_no_tool_guard(self) -> None: + model, messages = openai_v1_response.text_response_parts({ + "model": "auto", + "input": "run echo hi", + "tools": [{"type": "function", "name": "shell"}], + }) + + self.assertEqual(model, "auto") + self.assertEqual(messages[0]["role"], "system") + self.assertIn("cannot execute local tools", str(messages[0]["content"])) + + def test_chat_completions_accepts_remote_image_url(self) -> None: + class FakeImageResponse: + status_code = 200 + headers = {"content-type": "image/png", "content-length": str(len(PNG_1X1))} + content = PNG_1X1 + + with mock.patch("utils.helper.requests.get", return_value=FakeImageResponse()) as request_get: + model, messages = openai_v1_chat_complete.text_chat_parts({ + "model": "auto", + "messages": [{ + "role": "user", + "content": [ + {"type": "text", "text": "Describe this"}, + {"type": "image_url", "image_url": {"url": "https://example.test/image.png"}}, + ], + }], + }) + + request_get.assert_called_once() + self.assertEqual(model, "auto") + content = messages[0]["content"] + self.assertEqual(content[0], {"type": "text", "text": "Describe this"}) + self.assertEqual(content[1]["type"], "image") + self.assertEqual(content[1]["data"], PNG_1X1) + self.assertEqual(content[1]["mime"], "image/png") + + def test_responses_text_request_preserves_input_image(self) -> None: + captured = {} + + def fake_stream_text_deltas(_backend, request): + captured["messages"] = request.messages + yield "red" + + body = { + "model": "auto", + "input": [ + {"type": "input_text", "text": "What color is this image?"}, + {"type": "input_image", "image_url": PNG_1X1_DATA_URL}, + ], + } + + with ( + mock.patch("services.protocol.openai_v1_response.text_backend", return_value=object()), + mock.patch("services.protocol.openai_v1_response.stream_text_deltas", side_effect=fake_stream_text_deltas), + ): + response = openai_v1_response.handle(body) + + self.assertEqual(response["output"][0]["content"][0]["text"], "red") + content = captured["messages"][0]["content"] + self.assertEqual(content[0], {"type": "text", "text": "What color is this image?"}) + self.assertEqual(content[1]["type"], "image") + self.assertEqual(content[1]["mime"], "image/png") + self.assertEqual(content[1]["data"], PNG_1X1) + self.assertGreater(response["usage"]["input_tokens_details"]["image_tokens"], 0) + + def test_responses_text_request_accepts_remote_input_image_url(self) -> None: + class FakeImageResponse: + status_code = 200 + headers = {"content-type": "image/png", "content-length": str(len(PNG_1X1))} + content = PNG_1X1 + + with mock.patch("utils.helper.requests.get", return_value=FakeImageResponse()) as request_get: + _model, messages = openai_v1_response.text_response_parts({ + "model": "auto", + "input": [{ + "type": "message", + "role": "user", + "content": [ + {"type": "input_text", "text": "Describe this"}, + {"type": "input_image", "image_url": {"url": "https://example.test/image.png"}}, + ], + }], + }) + + request_get.assert_called_once() + content = messages[0]["content"] + self.assertEqual(content[0], {"type": "text", "text": "Describe this"}) + self.assertEqual(content[1]["type"], "image") + self.assertEqual(content[1]["data"], PNG_1X1) + self.assertEqual(content[1]["mime"], "image/png") + + def test_image_extractor_supports_extra_image_object_shapes(self) -> None: + encoded = base64.b64encode(PNG_1X1).decode("ascii") + + images = extract_image_from_message_content([ + {"type": "image", "data": PNG_1X1, "mime": "image/png"}, + {"type": "input_image", "base64": encoded, "mime_type": "image/png"}, + {"type": "input_image", "source": {"type": "base64", "data": encoded, "media_type": "image/png"}}, + ]) + + self.assertEqual(len(images), 3) + self.assertEqual([image[1] for image in images], ["image/png", "image/png", "image/png"]) + self.assertTrue(all(image[0] == PNG_1X1 for image in images)) + + +if __name__ == "__main__": + unittest.main() diff --git a/test/test_codex_4k.py b/test/test_codex_4k.py new file mode 100644 index 0000000000000000000000000000000000000000..db1ffcea324a2c6b8d1520a40de01c6298c5b96c --- /dev/null +++ b/test/test_codex_4k.py @@ -0,0 +1,86 @@ +#!/usr/bin/env python3 +# Test script: directly call https://chatgpt.com/backend-api/codex/responses to generate one 2K image. +# Only edit ACCESS_TOKEN, then run: python codex_responses_image_test.py +# Fixed request parameters: +# prompt: A highly detailed square 2K image of a quiet futuristic library at sunrise +# responses model: gpt-5.5 +# image model: gpt-image-2 +# size: 2048x2048 +# quality: auto +# output_format: png +# output file: codex_4k.png + +import base64 +import json +import time +import urllib.request + +ACCESS_TOKEN = "" + + +def parse_events(raw): + ctype, text = raw.headers.get("content-type", ""), raw.read().decode("utf-8", "replace") + if "application/json" in ctype: + return [json.loads(text)] + events, lines = [], [] + for line in text.splitlines() + [""]: + if not line: + if lines: + data = "\n".join(lines).strip() + if data and data != "[DONE]": + events.append(json.loads(data)) + lines = [] + elif line.startswith("data:"): + lines.append(line[5:].lstrip()) + return events + + +def find_images(value): + if isinstance(value, dict): + if value.get("type") == "image_generation_call" and isinstance(value.get("result"), str): + result = value["result"].strip() + return [result.split(",", 1)[1] if result.startswith("data:image/") else result] + return [image for item in value.values() for image in find_images(item)] + if isinstance(value, list): + return [image for item in value for image in find_images(item)] + return [] + + +def main(): + start_time = time.time() + body = { + "model": "gpt-5.5", + "instructions": "Use the image_generation tool to create exactly one image for the user's request. Return the generated image result.", + "store": False, + "input": [{"role": "user", "content": [{"type": "input_text", "text": "A highly detailed square 2K image of a quiet futuristic library at sunrise"}]}], + "tools": [{ + "type": "image_generation", + "model": "gpt-image-2", + "action": "generate", + "size": "3840x2160", + "quality": "auto", + "output_format": "png" + }], + "tool_choice": {"type": "image_generation"}, + "stream": True + } + headers = {"Authorization": f"Bearer {ACCESS_TOKEN}", "Content-Type": "application/json"} + + req = urllib.request.Request("https://chatgpt.com/backend-api/codex/responses", json.dumps(body).encode(), headers, method="POST") + try: + images = find_images(parse_events(urllib.request.urlopen(req, timeout=1200))) + except urllib.error.HTTPError as error: + raise SystemExit(f"HTTP {error.code}: {error.read().decode('utf-8', 'replace')[:1000]}") + + if not images: + raise SystemExit("No image result found in response") + + with open("codex_4k.png", "wb") as file: + file.write(base64.b64decode(images[0])) + print("saved codex_4k.png") + end_time = time.time() + print(f"total time: {end_time - start_time:.2f} seconds") + + +if __name__ == "__main__": + main() diff --git a/test/test_config.py b/test/test_config.py new file mode 100644 index 0000000000000000000000000000000000000000..d9e4f3d596a4ba06b0cd389925a0a556d9365da9 --- /dev/null +++ b/test/test_config.py @@ -0,0 +1,63 @@ +import json +import tempfile +import unittest +from pathlib import Path + + +ROOT_DIR = Path(__file__).resolve().parents[1] +ROOT_CONFIG_FILE = ROOT_DIR / "config.json" + + +class ConfigLoadingTests(unittest.TestCase): + @classmethod + def setUpClass(cls) -> None: + cls._created_root_config = False + if not ROOT_CONFIG_FILE.exists(): + ROOT_CONFIG_FILE.write_text(json.dumps({"auth-key": "test-auth"}), encoding="utf-8") + cls._created_root_config = True + + from services import config as config_module + + cls.config_module = config_module + + @classmethod + def tearDownClass(cls) -> None: + if cls._created_root_config and ROOT_CONFIG_FILE.exists(): + ROOT_CONFIG_FILE.unlink() + + def test_load_settings_ignores_directory_config_path(self) -> None: + with tempfile.TemporaryDirectory() as tmp_dir: + base_dir = Path(tmp_dir) + data_dir = base_dir / "data" + config_dir = base_dir / "config.json" + os_auth_key = "env-auth" + + config_dir.mkdir() + + module = self.config_module + old_base_dir = module.BASE_DIR + old_data_dir = module.DATA_DIR + old_config_file = module.CONFIG_FILE + old_env_auth_key = module.os.environ.get("CHATGPT2API_AUTH_KEY") + try: + module.BASE_DIR = base_dir + module.DATA_DIR = data_dir + module.CONFIG_FILE = config_dir + module.os.environ["CHATGPT2API_AUTH_KEY"] = os_auth_key + + settings = module._load_settings() + + self.assertEqual(settings.auth_key, os_auth_key) + self.assertEqual(settings.refresh_account_interval_minute, 5) + finally: + module.BASE_DIR = old_base_dir + module.DATA_DIR = old_data_dir + module.CONFIG_FILE = old_config_file + if old_env_auth_key is None: + module.os.environ.pop("CHATGPT2API_AUTH_KEY", None) + else: + module.os.environ["CHATGPT2API_AUTH_KEY"] = old_env_auth_key + + +if __name__ == "__main__": + unittest.main() diff --git a/test/test_generations.py b/test/test_generations.py new file mode 100644 index 0000000000000000000000000000000000000000..4345dab6a2eb2de2047fbfaa5d9120087f6e3a41 --- /dev/null +++ b/test/test_generations.py @@ -0,0 +1,12 @@ +from test.utils import post_json, save_image + + +def main() -> None: + prompt = "A cute orange cat sitting on a chair" + result = post_json("/v1/images/generations", {"prompt": prompt, "model": "gpt-image-2", "n": 1}) + for index, item in enumerate(result["data"], start=1): + print(save_image(item["b64_json"], f"generations_{index}")) + + +if __name__ == "__main__": + main() diff --git a/test/test_generations_url.py b/test/test_generations_url.py new file mode 100644 index 0000000000000000000000000000000000000000..2f7a04f26982cd34d8ea2f58fceb206f32cbf81a --- /dev/null +++ b/test/test_generations_url.py @@ -0,0 +1,19 @@ +from test.utils import post_json + + +def main() -> None: + result = post_json( + "/v1/images/generations", + { + "prompt": "一只橘猫坐在窗边，午后阳光，写实摄影", + "model": "gpt-image-2", + "n": 1, + "response_format": "url", + }, + ) + for item in result.get("data", []): + print(item.get("url", "")) + + +if __name__ == "__main__": + main() diff --git a/test/test_gpt_ppt.py b/test/test_gpt_ppt.py new file mode 100644 index 0000000000000000000000000000000000000000..26189a5854b5a7bb9cfdf622a0a26868926a242a --- /dev/null +++ b/test/test_gpt_ppt.py @@ -0,0 +1,58 @@ +from __future__ import annotations + +import json +import time +import urllib.error +import urllib.parse +import urllib.request +from pathlib import Path +from uuid import uuid4 + +BASE_URL = "http://127.0.0.1:8000" +PROMPT = "生成一份 2026 年 Q2 电商运营复盘 PPT，8 页以内，商务科技风，包含销售、用户、渠道、广告、618 活动和 Q3 规划。" +BASE64_IMAGES: list[str] = [] +TIMEOUT_SECS = 600 +POLL_INTERVAL_SECS = 5 + + +def request_json(method: str, path: str, payload: dict | None = None) -> dict: + api_key = json.loads((Path(__file__).resolve().parents[1] / "config.json").read_text(encoding="utf-8"))["auth-key"] + if not api_key.strip(): + raise ValueError("API_KEY is empty") + data = None if payload is None else json.dumps(payload, ensure_ascii=False).encode() + request = urllib.request.Request( + BASE_URL.rstrip("/") + path, + data=data, + method=method, + headers={"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}, + ) + try: + with urllib.request.urlopen(request, timeout=60) as response: + return json.loads(response.read().decode()) + except urllib.error.HTTPError as exc: + raise RuntimeError(exc.read().decode("utf-8", "replace")) from exc + + +def main() -> None: + task = request_json("POST", "/v1/ppt/generations", { + "client_task_id": str(uuid4()), + "prompt": PROMPT, + "base64_images": BASE64_IMAGES, + }) + task_id = str(task.get("taskId") or task.get("id") or "") + if not task_id: + raise RuntimeError(f"missing taskId: {task}") + print(json.dumps(task, ensure_ascii=False, indent=2)) + deadline = time.time() + TIMEOUT_SECS + while time.time() < deadline: + time.sleep(POLL_INTERVAL_SECS) + status = request_json("GET", "/v1/editable-file-tasks?ids=" + urllib.parse.quote(task_id)) + print(json.dumps(status, ensure_ascii=False, indent=2)) + item = (status.get("items") or [{}])[0] + if item.get("status") in {"success", "error"}: + return + raise TimeoutError(f"task timeout: {task_id}") + + +if __name__ == "__main__": + main() diff --git a/test/test_gpt_psd.py b/test/test_gpt_psd.py new file mode 100644 index 0000000000000000000000000000000000000000..ae422d3d02ddb2e65fe7945cd9e20c3385d8a533 --- /dev/null +++ b/test/test_gpt_psd.py @@ -0,0 +1,58 @@ +from __future__ import annotations + +import json +import time +import urllib.error +import urllib.parse +import urllib.request +from pathlib import Path +from uuid import uuid4 + +BASE_URL = "http://127.0.0.1:8000" +PROMPT = "按原图位置拆分海报元素并合成可编辑 PSD，同时输出每个图层素材 zip。" +BASE64_IMAGES: list[str] = [] +TIMEOUT_SECS = 600 +POLL_INTERVAL_SECS = 5 + + +def request_json(method: str, path: str, payload: dict | None = None) -> dict: + api_key = json.loads((Path(__file__).resolve().parents[1] / "config.json").read_text(encoding="utf-8"))["auth-key"] + if not api_key.strip(): + raise ValueError("API_KEY is empty") + data = None if payload is None else json.dumps(payload, ensure_ascii=False).encode() + request = urllib.request.Request( + BASE_URL.rstrip("/") + path, + data=data, + method=method, + headers={"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}, + ) + try: + with urllib.request.urlopen(request, timeout=60) as response: + return json.loads(response.read().decode()) + except urllib.error.HTTPError as exc: + raise RuntimeError(exc.read().decode("utf-8", "replace")) from exc + + +def main() -> None: + task = request_json("POST", "/v1/psd/generations", { + "client_task_id": str(uuid4()), + "prompt": PROMPT, + "base64_images": BASE64_IMAGES, + }) + task_id = str(task.get("taskId") or task.get("id") or "") + if not task_id: + raise RuntimeError(f"missing taskId: {task}") + print(json.dumps(task, ensure_ascii=False, indent=2)) + deadline = time.time() + TIMEOUT_SECS + while time.time() < deadline: + time.sleep(POLL_INTERVAL_SECS) + status = request_json("GET", "/v1/editable-file-tasks?ids=" + urllib.parse.quote(task_id)) + print(json.dumps(status, ensure_ascii=False, indent=2)) + item = (status.get("items") or [{}])[0] + if item.get("status") in {"success", "error"}: + return + raise TimeoutError(f"task timeout: {task_id}") + + +if __name__ == "__main__": + main() diff --git a/test/test_gpt_search.py b/test/test_gpt_search.py new file mode 100644 index 0000000000000000000000000000000000000000..8874944d577c6cdf20ccda3225c49fe61a61b4df --- /dev/null +++ b/test/test_gpt_search.py @@ -0,0 +1,21 @@ +from __future__ import annotations + +import json +import sys +from pathlib import Path + +sys.path.insert(0, str(Path(__file__).resolve().parents[1])) + +from services.openai_backend_api import OpenAIBackendAPI + + +def main() -> None: + ACCESS_TOKEN = "" + PROMPT = "帮我去网上搜索关于chatgpt2api的相关项目" + if not ACCESS_TOKEN.strip(): + raise ValueError("ACCESS_TOKEN is empty") + print(json.dumps(OpenAIBackendAPI(ACCESS_TOKEN).search(PROMPT), ensure_ascii=False, indent=2)) + + +if __name__ == "__main__": + main() diff --git a/test/test_image.py b/test/test_image.py new file mode 100644 index 0000000000000000000000000000000000000000..25ef8f2b0e96396c499f5f0edf3fa7b7a2b2b8a1 --- /dev/null +++ b/test/test_image.py @@ -0,0 +1,15 @@ +from __future__ import annotations + +from services.protocol import openai_v1_image_generations +from test.utils import save_image + + +def main() -> None: + prompt = "一只橘猫坐在窗台上，午后阳光，写实摄影" + data = openai_v1_image_generations.handle({"prompt": prompt, "model": "gpt-5-3", "n": 1}) + for index, item in enumerate(data["data"], start=1): + print(save_image(item["b64_json"], f"image_{index}")) + + +if __name__ == "__main__": + main() diff --git a/test/test_image_base_url_api.py b/test/test_image_base_url_api.py new file mode 100644 index 0000000000000000000000000000000000000000..c2ad577b83a0bf7dcb30b1880fb1614bd9afaf0e --- /dev/null +++ b/test/test_image_base_url_api.py @@ -0,0 +1,43 @@ +import unittest +from types import SimpleNamespace +from unittest import mock + +import api.support as api_support + + +class ImageBaseUrlApiTests(unittest.TestCase): + def setUp(self) -> None: + self.fake_config = SimpleNamespace(base_url="https://public.example.com") + patcher = mock.patch.object(api_support, "config", self.fake_config) + patcher.start() + self.addCleanup(patcher.stop) + + def test_prefers_configured_base_url(self) -> None: + request = SimpleNamespace( + url=SimpleNamespace(scheme="http", netloc="127.0.0.1:8000"), + headers={"host": "127.0.0.1:8000"}, + ) + + self.assertEqual(api_support.resolve_image_base_url(request), "https://public.example.com") + + def test_falls_back_to_request_host(self) -> None: + self.fake_config.base_url = "" + request = SimpleNamespace( + url=SimpleNamespace(scheme="http", netloc="127.0.0.1:8000"), + headers={"host": "internal.example:9000"}, + ) + + self.assertEqual(api_support.resolve_image_base_url(request), "http://internal.example:9000") + + def test_falls_back_to_request_netloc_when_host_missing(self) -> None: + self.fake_config.base_url = "" + request = SimpleNamespace( + url=SimpleNamespace(scheme="https", netloc="public.example.com"), + headers={}, + ) + + self.assertEqual(api_support.resolve_image_base_url(request), "https://public.example.com") + + +if __name__ == "__main__": + unittest.main() diff --git a/test/test_image_output_tokens.py b/test/test_image_output_tokens.py new file mode 100644 index 0000000000000000000000000000000000000000..71a8e5dbf97138de6531ca936171f412cc79bf08 --- /dev/null +++ b/test/test_image_output_tokens.py @@ -0,0 +1,33 @@ +import json +import urllib.error +import urllib.request + +from test.utils import BASE_URL, load_auth_key + + +def main() -> None: + payload = { + "prompt": "一只橘猫坐在窗台上，午后阳光，写实摄影", + "model": "gpt-image-2", + "n": 1, + "response_format": "url", + } + request = urllib.request.Request( + BASE_URL + "/v1/images/generations", + data=json.dumps(payload).encode(), + headers={"Content-Type": "application/json", "Authorization": f"Bearer {load_auth_key()}"}, + method="POST", + ) + try: + with urllib.request.urlopen(request) as response: + body = response.read().decode() + except urllib.error.HTTPError as error: + body = error.read().decode() + try: + print(json.dumps(json.loads(body), ensure_ascii=False, indent=2)) + except json.JSONDecodeError: + print(body) + + +if __name__ == "__main__": + main() diff --git a/test/test_image_storage_service.py b/test/test_image_storage_service.py new file mode 100644 index 0000000000000000000000000000000000000000..ea926de9f9569a8f1d4e6232aa80bb547919c9ef --- /dev/null +++ b/test/test_image_storage_service.py @@ -0,0 +1,139 @@ +from __future__ import annotations + +import tempfile +import unittest +from pathlib import Path +from unittest import mock + +from PIL import Image + +from services.image_storage_service import ImageStorageService + + +def png_bytes() -> bytes: + path = Path(tempfile.gettempdir()) / "chatgpt2api-test-image.png" + Image.new("RGB", (2, 2), color=(255, 0, 0)).save(path, format="PNG") + return path.read_bytes() + + +class FakeWebDAVClient: + uploaded: dict[str, bytes] = {} + deleted: list[str] = [] + + def __init__(self, _settings): + pass + + def put(self, rel: str, payload: bytes) -> str: + self.uploaded[rel] = payload + return f"https://dav.example.test/{rel}" + + def get(self, rel: str) -> bytes: + return self.uploaded[rel] + + def delete(self, rel: str) -> bool: + self.deleted.append(rel) + self.uploaded.pop(rel, None) + return True + + def test(self) -> dict[str, object]: + self.put(".chatgpt2api_webdav_test.txt", b"chatgpt2api webdav test\n") + self.delete(".chatgpt2api_webdav_test.txt") + return {"ok": True, "status": 200, "error": None} + + +class ImageStorageServiceTests(unittest.TestCase): + def setUp(self): + self.tmp = tempfile.TemporaryDirectory() + self.addCleanup(self.tmp.cleanup) + self.data_dir = Path(self.tmp.name) + self.images_dir = self.data_dir / "images" + self.settings = { + "enabled": False, + "mode": "local", + "webdav_url": "", + "webdav_username": "", + "webdav_password": "", + "webdav_root_path": "chatgpt2api/images", + "public_base_url": "", + } + self.config_patcher = mock.patch("services.image_storage_service.config") + self.mock_config = self.config_patcher.start() + self.addCleanup(self.config_patcher.stop) + self.mock_config.images_dir = self.images_dir + self.mock_config.base_url = "http://app.test" + self.mock_config.cleanup_old_images.return_value = 0 + self.mock_config.get_image_storage_settings.side_effect = lambda: dict(self.settings) + FakeWebDAVClient.uploaded = {} + FakeWebDAVClient.deleted = [] + + def service(self) -> ImageStorageService: + return ImageStorageService(self.data_dir / "image_index.json") + + def test_local_mode_saves_to_local_directory(self): + stored = self.service().save(png_bytes(), "http://app.test") + + self.assertEqual(stored.storage, "local") + self.assertTrue((self.images_dir / stored.rel).is_file()) + self.assertEqual(stored.url, f"http://app.test/images/{stored.rel}") + + def test_webdav_mode_uploads_without_local_file(self): + self.settings.update({ + "enabled": True, + "mode": "webdav", + "webdav_url": "https://dav.example.test", + "webdav_password": "secret", + }) + with mock.patch("services.image_storage_service.WebDAVClient", FakeWebDAVClient): + stored = self.service().save(png_bytes(), "http://app.test") + payload = self.service().get_bytes(stored.rel) + + self.assertEqual(stored.storage, "webdav") + self.assertFalse((self.images_dir / stored.rel).exists()) + self.assertIn(stored.rel, FakeWebDAVClient.uploaded) + self.assertEqual(payload, FakeWebDAVClient.uploaded[stored.rel]) + + def test_list_items_ignores_non_image_files(self): + image = png_bytes() + image_path = self.images_dir / "2026" / "05" / "07" / "sample.png" + image_path.parent.mkdir(parents=True, exist_ok=True) + image_path.write_bytes(image) + (self.images_dir / ".DS_Store").write_text("not an image", encoding="utf-8") + (self.images_dir / "2026" / ".DS_Store").write_text("not an image", encoding="utf-8") + + items = self.service().list_items("http://app.test") + + self.assertEqual([item["rel"] for item in items], ["2026/05/07/sample.png"]) + self.assertEqual(items[0]["storage"], "local") + + def test_both_mode_saves_to_local_and_webdav(self): + self.settings.update({ + "enabled": True, + "mode": "both", + "webdav_url": "https://dav.example.test", + "webdav_password": "secret", + "public_base_url": "https://cdn.example.test/images", + }) + with mock.patch("services.image_storage_service.WebDAVClient", FakeWebDAVClient): + stored = self.service().save(png_bytes(), "http://app.test") + + self.assertEqual(stored.storage, "both") + self.assertTrue((self.images_dir / stored.rel).is_file()) + self.assertIn(stored.rel, FakeWebDAVClient.uploaded) + self.assertEqual(stored.url, f"https://cdn.example.test/images/{stored.rel}") + + def test_test_webdav_writes_and_deletes_probe_file(self): + self.settings.update({ + "enabled": True, + "mode": "webdav", + "webdav_url": "https://dav.example.test", + "webdav_password": "secret", + }) + with mock.patch("services.image_storage_service.WebDAVClient", FakeWebDAVClient): + result = self.service().test_webdav() + + self.assertTrue(result["ok"]) + self.assertIn(".chatgpt2api_webdav_test.txt", FakeWebDAVClient.deleted) + + +if __name__ == "__main__": + unittest.main() diff --git a/test/test_image_task_service.py b/test/test_image_task_service.py new file mode 100644 index 0000000000000000000000000000000000000000..566db0f8124250b77125adaf50678f0f99d8063d --- /dev/null +++ b/test/test_image_task_service.py @@ -0,0 +1,149 @@ +from __future__ import annotations + +import json +import tempfile +import time +import unittest +from pathlib import Path + +from services.image_task_service import ImageTaskService + + +OWNER = {"id": "owner-1", "name": "Owner", "role": "admin"} +OTHER_OWNER = {"id": "owner-2", "name": "Other", "role": "user"} + + +def wait_for_task(service: ImageTaskService, identity: dict[str, object], task_id: str, status: str, timeout: float = 2.0): + deadline = time.time() + timeout + last = None + while time.time() < deadline: + result = service.list_tasks(identity, [task_id]) + last = (result.get("items") or [None])[0] + if last and last.get("status") == status: + return last + time.sleep(0.02) + raise AssertionError(f"task {task_id} did not reach {status}, last={last}") + + +class ImageTaskServiceTests(unittest.TestCase): + def make_service(self, path: Path, handler=None) -> ImageTaskService: + return ImageTaskService( + path, + generation_handler=handler or (lambda _payload: {"data": [{"url": "http://example.test/image.png"}]}), + edit_handler=handler or (lambda _payload: {"data": [{"url": "http://example.test/edit.png"}]}), + retention_days_getter=lambda: 30, + ) + + def test_duplicate_submit_uses_existing_task(self): + with tempfile.TemporaryDirectory() as tmp_dir: + calls = 0 + + def handler(_payload): + nonlocal calls + calls += 1 + time.sleep(0.05) + return {"data": [{"url": "http://example.test/image.png"}]} + + service = self.make_service(Path(tmp_dir) / "image_tasks.json", handler) + first = service.submit_generation( + OWNER, + client_task_id="task-1", + prompt="cat", + model="gpt-image-2", + size=None, + base_url="http://local.test", + ) + second = service.submit_generation( + OWNER, + client_task_id="task-1", + prompt="cat", + model="gpt-image-2", + size=None, + base_url="http://local.test", + ) + + self.assertEqual(first["id"], "task-1") + self.assertEqual(second["id"], "task-1") + task = wait_for_task(service, OWNER, "task-1", "success") + self.assertEqual(task["data"][0]["url"], "http://example.test/image.png") + self.assertEqual(calls, 1) + + def test_different_owner_cannot_query_task(self): + with tempfile.TemporaryDirectory() as tmp_dir: + service = self.make_service(Path(tmp_dir) / "image_tasks.json") + service.submit_generation( + OWNER, + client_task_id="private-task", + prompt="cat", + model="gpt-image-2", + size=None, + base_url="http://local.test", + ) + + wait_for_task(service, OWNER, "private-task", "success") + result = service.list_tasks(OTHER_OWNER, ["private-task"]) + + self.assertEqual(result["items"], []) + self.assertEqual(result["missing_ids"], ["private-task"]) + + def test_success_task_persists_to_new_service_instance(self): + with tempfile.TemporaryDirectory() as tmp_dir: + path = Path(tmp_dir) / "image_tasks.json" + service = self.make_service(path) + service.submit_generation( + OWNER, + client_task_id="persisted-task", + prompt="cat", + model="gpt-image-2", + size=None, + base_url="http://local.test", + ) + wait_for_task(service, OWNER, "persisted-task", "success") + + reloaded = self.make_service(path) + result = reloaded.list_tasks(OWNER, ["persisted-task"]) + + self.assertEqual(result["missing_ids"], []) + self.assertEqual(result["items"][0]["status"], "success") + self.assertEqual(result["items"][0]["data"][0]["url"], "http://example.test/image.png") + + def test_startup_marks_unfinished_tasks_as_error(self): + with tempfile.TemporaryDirectory() as tmp_dir: + path = Path(tmp_dir) / "image_tasks.json" + path.write_text( + json.dumps( + { + "tasks": [ + { + "id": "queued-task", + "owner_id": "owner-1", + "status": "queued", + "mode": "generate", + "model": "gpt-image-2", + "created_at": "2099-01-01 00:00:00", + "updated_at": "2099-01-01 00:00:00", + }, + { + "id": "running-task", + "owner_id": "owner-1", + "status": "running", + "mode": "generate", + "model": "gpt-image-2", + "created_at": "2099-01-01 00:00:00", + "updated_at": "2099-01-01 00:00:00", + }, + ] + } + ), + encoding="utf-8", + ) + + service = self.make_service(path) + result = service.list_tasks(OWNER, ["queued-task", "running-task"]) + + self.assertEqual([item["status"] for item in result["items"]], ["error", "error"]) + self.assertTrue(all("已中断" in item.get("error", "") for item in result["items"])) + + +if __name__ == "__main__": + unittest.main() diff --git a/test/test_image_tasks_api.py b/test/test_image_tasks_api.py new file mode 100644 index 0000000000000000000000000000000000000000..0afc4cb19d650648ec6d932a29054fb76b5d2cbe --- /dev/null +++ b/test/test_image_tasks_api.py @@ -0,0 +1,131 @@ +from __future__ import annotations + +import base64 +import unittest +from unittest import mock + +from fastapi import FastAPI +from fastapi.testclient import TestClient + +import api.image_tasks as image_tasks_module + + +AUTH_HEADERS = {"Authorization": "Bearer chatgpt2api"} +PNG_BYTES = b"\x89PNG\r\n\x1a\n" +DATA_IMAGE_URL = f"data:image/png;base64,{base64.b64encode(PNG_BYTES).decode('ascii')}" + + +class FakeImageTaskService: + def __init__(self): + self.generation_calls = [] + self.edit_calls = [] + + def submit_generation(self, identity, **kwargs): + self.generation_calls.append((identity, kwargs)) + return { + "id": kwargs["client_task_id"], + "status": "success", + "mode": "generate", + "created_at": "2026-01-01 00:00:00", + "updated_at": "2026-01-01 00:00:00", + "data": [{"url": f"{kwargs['base_url']}/images/fake.png"}], + } + + def submit_edit(self, identity, **kwargs): + self.edit_calls.append((identity, kwargs)) + return { + "id": kwargs["client_task_id"], + "status": "queued", + "mode": "edit", + "created_at": "2026-01-01 00:00:00", + "updated_at": "2026-01-01 00:00:00", + } + + def list_tasks(self, _identity, ids): + return { + "items": [ + { + "id": task_id, + "status": "success", + "mode": "generate", + "created_at": "2026-01-01 00:00:00", + "updated_at": "2026-01-01 00:00:00", + "data": [{"url": "http://testserver/images/fake.png"}], + } + for task_id in ids + if task_id != "missing" + ], + "missing_ids": [task_id for task_id in ids if task_id == "missing"], + } + + +class ImageTasksApiTests(unittest.TestCase): + def setUp(self): + self.fake_service = FakeImageTaskService() + self.service_patcher = mock.patch.object(image_tasks_module, "image_task_service", self.fake_service) + self.service_patcher.start() + self.addCleanup(self.service_patcher.stop) + app = FastAPI() + app.include_router(image_tasks_module.create_router()) + self.client = TestClient(app) + + def test_create_generation_task(self): + response = self.client.post( + "/api/image-tasks/generations", + headers=AUTH_HEADERS, + json={"client_task_id": "task-1", "prompt": "cat", "model": "gpt-image-2"}, + ) + + self.assertEqual(response.status_code, 200, response.text) + payload = response.json() + self.assertEqual(payload["id"], "task-1") + self.assertEqual(payload["status"], "success") + self.assertEqual(len(self.fake_service.generation_calls), 1) + + def test_create_edit_task_accepts_multiple_images(self): + """测试图片编辑任务接口支持多个上传图片。""" + response = self.client.post( + "/api/image-tasks/edits", + headers=AUTH_HEADERS, + data={"client_task_id": "edit-1", "prompt": "edit", "model": "gpt-image-2"}, + files=[ + ("image", ("one.png", b"one", "image/png")), + ("image", ("two.png", b"two", "image/png")), + ], + ) + + self.assertEqual(response.status_code, 200, response.text) + self.assertEqual(response.json()["id"], "edit-1") + self.assertEqual(len(self.fake_service.edit_calls), 1) + images = self.fake_service.edit_calls[0][1]["images"] + self.assertEqual(len(images), 2) + + def test_create_edit_task_accepts_image_url(self): + """测试图片编辑任务接口支持表单 image_url 引用。""" + response = self.client.post( + "/api/image-tasks/edits", + headers=AUTH_HEADERS, + data={ + "client_task_id": "edit-url-1", + "prompt": "edit", + "model": "gpt-image-2", + "image_url": DATA_IMAGE_URL, + }, + ) + + self.assertEqual(response.status_code, 200, response.text) + self.assertEqual(len(self.fake_service.edit_calls), 1) + images = self.fake_service.edit_calls[0][1]["images"] + self.assertEqual(images, [(PNG_BYTES, "image_url.png", "image/png")]) + + def test_list_tasks_reports_missing_ids(self): + response = self.client.get("/api/image-tasks?ids=task-1,missing", headers=AUTH_HEADERS) + + self.assertEqual(response.status_code, 200, response.text) + payload = response.json() + self.assertEqual([item["id"] for item in payload["items"]], ["task-1"]) + self.assertEqual(payload["missing_ids"], ["missing"]) + + +if __name__ == "__main__": + unittest.main() diff --git a/test/test_image_tokens.py b/test/test_image_tokens.py new file mode 100644 index 0000000000000000000000000000000000000000..cdd2554f03be03be6a8fdd7f591bfc43da0e0b93 --- /dev/null +++ b/test/test_image_tokens.py @@ -0,0 +1,29 @@ +from __future__ import annotations + +import unittest + +from utils.image_tokens import ( + count_image_input_tokens, + count_image_output_tokens, +) + + +class ImageTokenTests(unittest.TestCase): + def test_patch_token_examples_match_openai_docs(self): + self.assertEqual(count_image_input_tokens(1024, 1024, "gpt-4.1-mini", "high"), 1659) + self.assertEqual(count_image_input_tokens(1800, 2400, "gpt-4.1-mini", "high"), 2353) + + def test_image_input_tokens_force_gpt_54_mini(self): + expected = count_image_input_tokens(1024, 1024, "gpt-5.4-mini", "low") + self.assertEqual(expected, 415) + self.assertEqual(count_image_input_tokens(1024, 1024, "gpt-4o", "low"), expected) + self.assertEqual(count_image_input_tokens(1024, 1024, "gpt-image-2", "low"), expected) + + def test_image_output_tokens_scale_by_count_and_size(self): + single = count_image_output_tokens("1024x1024", "auto", 1) + self.assertGreater(single, 0) + self.assertEqual(count_image_output_tokens("1024x1024", "auto", 2), single * 2) + + +if __name__ == "__main__": + unittest.main() diff --git a/test/test_multi_image_results.py b/test/test_multi_image_results.py new file mode 100644 index 0000000000000000000000000000000000000000..2d9f98a3778d6676ecea68b52325a24d57699827 --- /dev/null +++ b/test/test_multi_image_results.py @@ -0,0 +1,180 @@ +from __future__ import annotations + +import base64 +import unittest +from unittest import mock + +from services.config import config +from services.openai_backend_api import OpenAIBackendAPI +from services.protocol.conversation import ImageOutput, extract_conversation_ids +from services.protocol.openai_v1_response import stream_image_response + + +def _conversation(file_ids: list[str], sediment_ids: list[str] | None = None) -> dict: + parts: list[object] = [ + {"content_type": "image_asset_pointer", "asset_pointer": f"file-service://{file_id}"} + for file_id in file_ids + ] + parts.extend(f"sediment://{sediment_id}" for sediment_id in (sediment_ids or [])) + return { + "mapping": { + "tool": { + "message": { + "author": {"role": "tool"}, + "create_time": 1, + "metadata": {"async_task_type": "image_gen"}, + "content": {"content_type": "multimodal_text", "parts": parts}, + } + } + } + } + + +class FakeBackend(OpenAIBackendAPI): + def __init__(self, conversations: list[dict] | None = None) -> None: + self.conversations = conversations or [] + self.calls = 0 + self.file_urls: dict[str, str] = {} + self.sediment_urls: dict[str, str] = {} + + def _get_conversation(self, conversation_id: str) -> dict: + self.calls += 1 + index = min(self.calls - 1, len(self.conversations) - 1) + return self.conversations[index] + + def _get_file_download_url(self, file_id: str) -> str: + return self.file_urls.get(file_id, "") + + def _get_attachment_download_url(self, conversation_id: str, attachment_id: str) -> str: + return self.sediment_urls.get(attachment_id, "") + + +class MultiImageResultTests(unittest.TestCase): + def test_stream_id_extractor_keeps_full_file_ids(self) -> None: + payload = ( + '{"conversation_id":"conv-1"} ' + 'file-service://file-first_123-extra sediment://sed-second_456-extra' + ) + + conversation_id, file_ids, sediment_ids = extract_conversation_ids(payload) + + self.assertEqual(conversation_id, "conv-1") + self.assertEqual(file_ids, ["file-first_123-extra"]) + self.assertEqual(sediment_ids, ["sed-second_456-extra"]) + + def test_conversation_record_extractor_finds_all_generated_assets(self) -> None: + backend = FakeBackend() + conversation = { + "mapping": { + "user": { + "message": { + "author": {"role": "user"}, + "content": {"parts": ["file-service://file-user-input"]}, + } + }, + "tool": { + "message": { + "author": {"role": "tool"}, + "create_time": 1, + "metadata": { + "async_task_type": "image_gen", + "nested": {"asset": "file-service://file-second"}, + }, + "content": { + "content_type": "text", + "parts": [ + {"content_type": "image_asset_pointer", "asset_pointer": "file-service://file-first"}, + "sediment://sed-first", + ], + }, + } + }, + "assistant": { + "message": { + "author": {"role": "assistant"}, + "create_time": 2, + "metadata": {}, + "content": { + "parts": [ + {"content_type": "image_asset_pointer", "asset_pointer": "file-service://file-third"} + ] + }, + } + }, + } + } + + records = backend._extract_image_tool_records(conversation) + file_ids = [file_id for record in records for file_id in record["file_ids"]] + sediment_ids = [sediment_id for record in records for sediment_id in record["sediment_ids"]] + + self.assertEqual(file_ids, ["file-first", "file-second", "file-third"]) + self.assertEqual(sediment_ids, ["sed-first"]) + + def test_poll_waits_for_generated_asset_ids_to_settle(self) -> None: + backend = FakeBackend([ + _conversation(["file-one"]), + _conversation(["file-one", "file-two"], ["sed-one"]), + _conversation(["file-one", "file-two"], ["sed-one"]), + ]) + + with ( + mock.patch.dict(config.data, {"image_poll_initial_wait_secs": 0, "image_poll_interval_secs": 0.5}), + mock.patch("services.openai_backend_api.time.sleep", lambda _seconds: None), + ): + file_ids, sediment_ids = backend._poll_image_results("conv-1", timeout_secs=10) + + self.assertEqual(file_ids, ["file-one", "file-two"]) + self.assertEqual(sediment_ids, ["sed-one"]) + self.assertEqual(backend.calls, 3) + + def test_resolver_uses_file_and_sediment_urls(self) -> None: + backend = FakeBackend() + backend.file_urls = {"file-one": "https://files.test/one.png"} + backend.sediment_urls = { + "sed-one": "https://attachments.test/one.png", + "sed-two": "https://attachments.test/two.png", + } + + urls = backend._resolve_image_urls("conv-1", ["file-one"], ["sed-one", "sed-two"]) + + self.assertEqual(urls, [ + "https://files.test/one.png", + "https://attachments.test/one.png", + "https://attachments.test/two.png", + ]) + + def test_resolver_keeps_stream_ids_when_poll_extension_fails(self) -> None: + backend = FakeBackend() + backend.file_urls = {"file-one": "https://files.test/one.png"} + backend._get_conversation = mock.Mock(side_effect=RuntimeError("poll failed")) + + with mock.patch("services.openai_backend_api.time.sleep", lambda _seconds: None): + urls = backend.resolve_conversation_image_urls("conv-1", ["file-one"], [], poll=True) + + self.assertEqual(urls, ["https://files.test/one.png"]) + + def test_responses_stream_emits_all_image_output_items(self) -> None: + first = base64.b64encode(b"first").decode("ascii") + second = base64.b64encode(b"second").decode("ascii") + events = list(stream_image_response( + [ImageOutput( + kind="result", + model="gpt-image-2", + index=1, + total=1, + data=[{"b64_json": first}, {"b64_json": second}], + )], + "draw two options", + "gpt-image-2", + )) + + done_events = [event for event in events if event.get("type") == "response.output_item.done"] + completed = next(event["response"] for event in events if event.get("type") == "response.completed") + + self.assertEqual([event["output_index"] for event in done_events], [0, 1]) + self.assertEqual([item["result"] for item in completed["output"]], [first, second]) + + +if __name__ == "__main__": + unittest.main() diff --git a/test/test_v1_chat_completions.py b/test/test_v1_chat_completions.py new file mode 100644 index 0000000000000000000000000000000000000000..2c9d9c6b53bcd32181d339f1b90bee3cfb29eec4 --- /dev/null +++ b/test/test_v1_chat_completions.py @@ -0,0 +1,125 @@ +from __future__ import annotations + +import json +import time +import unittest + +import requests + +from utils.helper import save_images_from_text + +AUTH_KEY = "chatgpt2api" +BASE_URL = "http://localhost:8000" + + +class ChatCompletionsTests(unittest.TestCase): + def test_text_completion_http(self): + """测试文本对话的非流式 HTTP 调用。""" + response = requests.post( + f"{BASE_URL}/v1/chat/completions", + headers={"Authorization": f"Bearer {AUTH_KEY}"}, + json={ + "model": "auto", + "messages": [ + {"role": "user", "content": "你好。"}, + {"role": "assistant", "content": "你好，我可以帮助你处理文本和图片相关请求。"}, + {"role": "user", "content": "那你再简单介绍一下你自己。"}, + ], + }, + timeout=300, + ) + print("text non-stream status:") + print(response.status_code) + print("text non-stream result:") + print(json.dumps(response.json(), ensure_ascii=False, indent=2)) + + def test_text_completion_stream_http(self): + """测试文本对话的流式 HTTP 调用。""" + response = requests.post( + f"{BASE_URL}/v1/chat/completions", + headers={"Authorization": f"Bearer {AUTH_KEY}"}, + json={ + "model": "auto", + "stream": True, + "messages": [ + {"role": "user", "content": "你好。"}, + {"role": "assistant", "content": "你好，我的名字是Claude。"}, + {"role": "user", "content": "那你再简单介绍一下你自己，比如你的名字是什么。"}, + ], + }, + stream=True, + timeout=300, + ) + print("text stream status:") + print(response.status_code) + print("text stream result:") + for line in response.iter_lines(): + if line: + print(line.decode("utf-8", errors="replace")) + + def test_image_completion_http(self): + """测试图片对话的非流式 HTTP 调用。""" + response = requests.post( + f"{BASE_URL}/v1/chat/completions", + headers={"Authorization": f"Bearer {AUTH_KEY}"}, + json={ + "model": "gpt-image-2", + "messages": [ + {"role": "user", "content": "我想做一张南京城市宣传海报图。"}, + ], + "n": 1, + }, + timeout=300, + ) + payload = response.json() + content = str((((payload.get("choices") or [{}])[0].get("message") or {}).get("content") or "")) + saved_paths = save_images_from_text(content, "chat_completions_image_non_stream") + print("image non-stream status:") + print(response.status_code) + print("image non-stream saved files:") + for path in saved_paths: + print(path) + + def test_image_completion_stream_http(self): + """测试图片对话的流式 HTTP 调用。""" + response = requests.post( + f"{BASE_URL}/v1/chat/completions", + headers={"Authorization": f"Bearer {AUTH_KEY}"}, + json={ + "model": "gpt-image-2", + "stream": True, + "messages": [ + {"role": "user", "content": "我想做一张南京城市宣传海报图。"}, + ], + "n": 1, + }, + stream=True, + timeout=300, + ) + parts: list[str] = [] + started_at = time.time() + print("image stream status:") + print(response.status_code) + print("image stream chunks:") + for line in response.iter_lines(): + if not line: + continue + text = line.decode("utf-8", errors="replace") + print(f"{time.time() - started_at:6.2f}s {text}") + if not text.startswith("data:"): + continue + payload = text[5:].strip() + if payload == "[DONE]": + break + try: + chunk = json.loads(payload) + except Exception: + continue + delta = ((chunk.get("choices") or [{}])[0].get("delta") or {}) + content = str(delta.get("content") or "") + if content: + parts.append(content) + saved_paths = save_images_from_text("".join(parts), "chat_completions_image_stream") + print("image stream saved files:") + for path in saved_paths: + print(path) diff --git a/test/test_v1_images_edits.py b/test/test_v1_images_edits.py new file mode 100644 index 0000000000000000000000000000000000000000..ee09106687cff47774ed92c1313a6b9d961f62f2 --- /dev/null +++ b/test/test_v1_images_edits.py @@ -0,0 +1,144 @@ +from __future__ import annotations + +import json +import time +import unittest +from pathlib import Path + +import requests + +from test.utils import save_image +from utils.log import logger + +AUTH_KEY = "chatgpt2api" +BASE_URL = "http://localhost:8000" +ASSETS_DIR = Path(__file__).resolve().parents[1] / "assets" + + +def load_asset_bytes(name: str) -> bytes: + return (ASSETS_DIR / name).read_bytes() + + +def summarize_chunk(chunk: dict[str, object]) -> dict[str, object]: + data = chunk.get("data") + data_items = data if isinstance(data, list) else [] + return { + "object": chunk.get("object"), + "index": chunk.get("index"), + "total": chunk.get("total"), + "created": chunk.get("created"), + "finish_reason": chunk.get("finish_reason"), + "progress_text": chunk.get("progress_text"), + "upstream_event_type": chunk.get("upstream_event_type"), + "data_count": len(data_items), + "has_b64_json": any(isinstance(item, dict) and bool(item.get("b64_json")) for item in data_items), + } + + +class ImageEditsTests(unittest.TestCase): + def test_image_edit_http(self): + """测试图片编辑的非流式 HTTP 调用。""" + response = requests.post( + f"{BASE_URL}/v1/images/edits", + headers={"Authorization": f"Bearer {AUTH_KEY}"}, + data={ + "model": "gpt-image-2", + "prompt": "参考输入图片，保持人物主体和二次元插画风格不变，让女孩怀里抱着一只可爱的小猫，画面自然协调。", + "n": "1", + "response_format": "b64_json", + }, + files={"image": ("chery_studio.png", load_asset_bytes("chery_studio.png"), "image/png")}, + timeout=300, + ) + self.assertEqual(response.status_code, 200, response.text) + payload = response.json() + saved_paths = [] + for index, item in enumerate(payload.get("data") or [], start=1): + b64_json = str((item or {}).get("b64_json") or "") + if b64_json: + saved_paths.append(save_image(b64_json, f"images_edits_non_stream_{index}")) + self.assertGreater(len(saved_paths), 0, "非流式接口未输出图片。") + logger.info({ + "event": "test_images_edits_non_stream_done", + "status_code": response.status_code, + "created": payload.get("created"), + "saved_paths": [str(path) for path in saved_paths], + "image_count": len(saved_paths), + }) + + def test_image_edit_stream_http(self): + """测试图片编辑的流式 HTTP 调用。""" + response = requests.post( + f"{BASE_URL}/v1/images/edits", + headers={"Authorization": f"Bearer {AUTH_KEY}"}, + data={ + "model": "gpt-image-2", + "prompt": "请提取两张输入界面截图中的 6 个任务，并把这 6 个任务整合排版到同一张图里，做成一张清晰的中文任务总览海报，标题明确，六个任务分区展示，版面整洁。", + "n": "1", + "response_format": "b64_json", + "stream": "true", + }, + files=[ + ("image", ("image.png", load_asset_bytes("image.png"), "image/png")), + ("image", ("image_edit.png", load_asset_bytes("image_edit.png"), "image/png")), + ], + stream=True, + timeout=300, + ) + image_items: list[dict[str, object]] = [] + stream_errors: list[dict[str, object]] = [] + started_at = time.time() + self.assertEqual(response.status_code, 200, response.text) + self.assertTrue( + response.headers.get("content-type", "").startswith("text/event-stream"), + response.headers.get("content-type", ""), + ) + logger.info({ + "event": "test_images_edits_stream_start", + "status_code": response.status_code, + "content_type": response.headers.get("content-type"), + }) + try: + for line in response.iter_lines(): + if not line: + continue + text = line.decode("utf-8", errors="replace") + if not text.startswith("data:"): + continue + payload = text[5:].strip() + if payload == "[DONE]": + break + try: + chunk = json.loads(payload) + except Exception: + continue + elapsed = time.time() - started_at + if isinstance(chunk.get("error"), dict): + stream_errors.append(chunk["error"]) + logger.info({ + "event": "test_images_edits_stream_chunk", + "elapsed_seconds": round(elapsed, 2), + "chunk": summarize_chunk(chunk), + }) + data = chunk.get("data") + if isinstance(data, list): + image_items.extend(item for item in data if isinstance(item, dict)) + finally: + response.close() + + saved_paths = [] + for index, item in enumerate(image_items, start=1): + b64_json = str(item.get("b64_json") or "") + if b64_json: + saved_paths.append(save_image(b64_json, f"images_edits_stream_{index}")) + self.assertFalse(stream_errors, f"流式接口返回错误: {stream_errors}") + self.assertGreater(len(saved_paths), 0, "流式接口未输出图片。") + logger.info({ + "event": "test_images_edits_stream_done", + "saved_paths": [str(path) for path in saved_paths], + "image_count": len(saved_paths), + }) + + +if __name__ == "__main__": + unittest.main() diff --git a/test/test_v1_images_edits_api.py b/test/test_v1_images_edits_api.py new file mode 100644 index 0000000000000000000000000000000000000000..22e2027fb714fd522cceb9643d2e7224a0f387c7 --- /dev/null +++ b/test/test_v1_images_edits_api.py @@ -0,0 +1,72 @@ +from __future__ import annotations + +import base64 +import unittest +from unittest import mock + +from fastapi import FastAPI +from fastapi.testclient import TestClient + +import api.ai as ai_module + + +AUTH_HEADERS = {"Authorization": "Bearer chatgpt2api"} +PNG_BYTES = b"\x89PNG\r\n\x1a\n" +DATA_IMAGE_URL = f"data:image/png;base64,{base64.b64encode(PNG_BYTES).decode('ascii')}" + + +class ImagesEditsApiTests(unittest.TestCase): + def setUp(self): + self.handle_calls = [] + + def fake_handle(payload): + self.handle_calls.append(payload) + return {"created": 1, "data": [{"b64_json": base64.b64encode(b"out").decode("ascii")}]} + + self.handler_patcher = mock.patch.object(ai_module.openai_v1_image_edit, "handle", fake_handle) + self.handler_patcher.start() + self.addCleanup(self.handler_patcher.stop) + app = FastAPI() + app.include_router(ai_module.create_router()) + self.client = TestClient(app) + + def test_edit_accepts_json_image_url(self): + """测试图片编辑接口支持官方 JSON image_url 引用。""" + response = self.client.post( + "/v1/images/edits", + headers=AUTH_HEADERS, + json={ + "model": "gpt-image-2", + "prompt": "edit", + "images": [{"image_url": DATA_IMAGE_URL}], + "n": 1, + "response_format": "b64_json", + }, + ) + + self.assertEqual(response.status_code, 200, response.text) + self.assertEqual(len(self.handle_calls), 1) + payload = self.handle_calls[0] + self.assertEqual(payload["prompt"], "edit") + self.assertEqual(payload["n"], 1) + self.assertEqual(payload["images"], [(PNG_BYTES, "image_url.png", "image/png")]) + + def test_edit_rejects_file_id_reference(self): + """测试图片编辑接口对暂不支持的 file_id 返回明确错误。""" + response = self.client.post( + "/v1/images/edits", + headers=AUTH_HEADERS, + json={ + "model": "gpt-image-2", + "prompt": "edit", + "images": [{"file_id": "file-abc123"}], + }, + ) + + self.assertEqual(response.status_code, 400, response.text) + self.assertIn("file_id image references are not supported", response.text) + self.assertEqual(self.handle_calls, []) + + +if __name__ == "__main__": + unittest.main() diff --git a/test/test_v1_images_edits_json.py b/test/test_v1_images_edits_json.py new file mode 100644 index 0000000000000000000000000000000000000000..c3d83502865cea60c93b3f3dc95f6587d93feb48 --- /dev/null +++ b/test/test_v1_images_edits_json.py @@ -0,0 +1,130 @@ +from __future__ import annotations + +import base64 +import os +import unittest +from unittest import mock + +os.environ.setdefault("CHATGPT2API_AUTH_KEY", "chatgpt2api") + +from fastapi import FastAPI +from fastapi.testclient import TestClient + +import api.ai as ai_module + +AUTH_HEADERS = {"Authorization": "Bearer chatgpt2api"} +PNG_DATA_URL = "data:image/png;base64," + base64.b64encode(b"fake-png").decode("ascii") +JPEG_DATA_URL = "data:image/jpeg;base64," + base64.b64encode(b"fake-jpeg").decode("ascii") + + +class ImageEditsJsonApiTests(unittest.TestCase): + def setUp(self): + self.calls = [] + + def fake_handle(payload): + self.calls.append(payload) + return {"created": 1, "data": [{"b64_json": "ZmFrZQ=="}]} + + self.handle_patcher = mock.patch.object(ai_module.openai_v1_image_edit, "handle", fake_handle) + self.filter_patcher = mock.patch.object(ai_module, "filter_or_log", mock.AsyncMock()) + self.handle_patcher.start() + self.filter_patcher.start() + self.addCleanup(self.handle_patcher.stop) + self.addCleanup(self.filter_patcher.stop) + + app = FastAPI() + app.include_router(ai_module.create_router()) + self.client = TestClient(app) + + def test_json_model_omitted_uses_existing_default_logic(self): + response = self.client.post("/v1/images/edits", headers=AUTH_HEADERS, json={"prompt": "未传 model", "image": PNG_DATA_URL}) + self.assertEqual(response.status_code, 200, response.text) + self.assertEqual(self.calls[0]["model"], "gpt-image-2") + + def test_json_model_is_not_overwritten_when_provided(self): + response = self.client.post( + "/v1/images/edits", + headers=AUTH_HEADERS, + json={"model": "codex-gpt-image-2", "prompt": "保留 model", "image": PNG_DATA_URL}, + ) + self.assertEqual(response.status_code, 200, response.text) + self.assertEqual(self.calls[0]["model"], "codex-gpt-image-2") + + def test_image_edit_accepts_json_image_url(self): + response = self.client.post( + "/v1/images/edits", + headers=AUTH_HEADERS, + json={ + "model": "gpt-image-2", + "prompt": "把图片改成夜景风格", + "n": 1, + "size": "1024x1536", + "response_format": "b64_json", + "images": [{"image_url": PNG_DATA_URL}], + }, + ) + self.assertEqual(response.status_code, 200, response.text) + payload = self.calls[0] + self.assertEqual(payload["images"], [(b"fake-png", "image_1.png", "image/png")]) + self.assertEqual(payload["size"], "1024x1536") + + def test_image_edit_accepts_json_multiple_images_and_b64_json(self): + response = self.client.post( + "/v1/images/edits", + headers=AUTH_HEADERS, + json={ + "prompt": "把两张图合成海报", + "images": [ + PNG_DATA_URL, + {"b64_json": base64.b64encode(b"raw-jpeg").decode("ascii"), "mime_type": "image/jpeg", "filename": "two.jpg"}, + {"image_url": {"url": JPEG_DATA_URL}}, + ], + }, + ) + self.assertEqual(response.status_code, 200, response.text) + self.assertEqual(self.calls[0]["images"], [ + (b"fake-png", "image_1.png", "image/png"), + (b"raw-jpeg", "two.jpg", "image/jpeg"), + (b"fake-jpeg", "image_3.jpg", "image/jpeg"), + ]) + + def test_image_edit_keeps_original_multipart_multiple_image_logic(self): + response = self.client.post( + "/v1/images/edits", + headers=AUTH_HEADERS, + data={"prompt": "multipart 多图仍然可用", "model": "gpt-image-2", "n": "1"}, + files=[ + ("image", ("one.png", b"one", "image/png")), + ("image", ("two.jpg", b"two", "image/jpeg")), + ("image[]", ("three.webp", b"three", "image/webp")), + ], + ) + self.assertEqual(response.status_code, 200, response.text) + self.assertEqual(self.calls[0]["images"], [ + (b"one", "one.png", "image/png"), + (b"two", "two.jpg", "image/jpeg"), + (b"three", "three.webp", "image/webp"), + ]) + + def test_image_edit_rejects_json_without_image(self): + response = self.client.post("/v1/images/edits", headers=AUTH_HEADERS, json={"prompt": "缺少图片"}) + self.assertEqual(response.status_code, 400, response.text) + self.assertIn("image file is required", response.text) + + def test_image_edit_rejects_remote_json_url(self): + response = self.client.post( + "/v1/images/edits", + headers=AUTH_HEADERS, + json={"prompt": "不允许远程拉图", "images": [{"image_url": "https://example.com/a.png"}]}, + ) + self.assertEqual(response.status_code, 400, response.text) + self.assertIn("remote image URLs are not supported", response.text) + + def test_image_edit_rejects_json_n_out_of_range(self): + response = self.client.post("/v1/images/edits", headers=AUTH_HEADERS, json={"prompt": "n 越界", "n": 5, "image": PNG_DATA_URL}) + self.assertEqual(response.status_code, 400, response.text) + self.assertFalse(self.calls) + + +if __name__ == "__main__": + unittest.main() diff --git a/test/test_v1_images_generations.py b/test/test_v1_images_generations.py new file mode 100644 index 0000000000000000000000000000000000000000..980e16dc94e1f361ea30be7ceb22364648a8667a --- /dev/null +++ b/test/test_v1_images_generations.py @@ -0,0 +1,92 @@ +from __future__ import annotations + +import json +import time +import unittest + +import requests + +from test.utils import save_image + +AUTH_KEY = "chatgpt2api" +BASE_URL = "http://localhost:8000" + + +class ImageGenerationsTests(unittest.TestCase): + def test_image_generation_http(self): + """测试图片生成的非流式 HTTP 调用。""" + response = requests.post( + f"{BASE_URL}/v1/images/generations", + headers={"Authorization": f"Bearer {AUTH_KEY}"}, + json={ + "model": "gpt-image-2", + "prompt": "我想做一张南京城市宣传海报图。", + "n": 1, + "response_format": "b64_json", + }, + timeout=300, + ) + payload = response.json() + saved_paths = [] + for index, item in enumerate(payload.get("data") or [], start=1): + b64_json = str((item or {}).get("b64_json") or "") + if b64_json: + saved_paths.append(save_image(b64_json, f"images_generations_non_stream_{index}")) + print("images generations non-stream status:") + print(response.status_code) + print("images generations non-stream created:") + print(payload.get("created")) + print("images generations non-stream saved files:") + for path in saved_paths: + print(path) + + def test_image_generation_stream_http(self): + """测试图片生成的流式 HTTP 调用。""" + response = requests.post( + f"{BASE_URL}/v1/images/generations", + headers={"Authorization": f"Bearer {AUTH_KEY}"}, + json={ + "model": "gpt-image-2", + "prompt": "我想做一张南京城市宣传海报图。", + "n": 1, + "response_format": "b64_json", + "stream": True, + }, + stream=True, + timeout=300, + ) + image_items: list[dict[str, object]] = [] + started_at = time.time() + print("images generations stream status:") + print(response.status_code) + print("images generations stream chunks:") + for line in response.iter_lines(): + if not line: + continue + text = line.decode("utf-8", errors="replace") + print(f"{time.time() - started_at:6.2f}s {text}") + if not text.startswith("data:"): + continue + payload = text[5:].strip() + if payload == "[DONE]": + break + try: + chunk = json.loads(payload) + except Exception: + continue + data = chunk.get("data") + if isinstance(data, list): + image_items.extend(item for item in data if isinstance(item, dict)) + + saved_paths = [] + for index, item in enumerate(image_items, start=1): + b64_json = str(item.get("b64_json") or "") + if b64_json: + saved_paths.append(save_image(b64_json, f"images_generations_stream_{index}")) + print("images generations stream saved files:") + for path in saved_paths: + print(path) + + +if __name__ == "__main__": + unittest.main() diff --git a/test/test_v1_messages.py b/test/test_v1_messages.py new file mode 100644 index 0000000000000000000000000000000000000000..e2194bb4c83a5346f578e28faf3ebb88fe356f10 --- /dev/null +++ b/test/test_v1_messages.py @@ -0,0 +1,86 @@ +from __future__ import annotations + +import json +import time +import unittest + +import requests + +AUTH_KEY = "chatgpt2api" +BASE_URL = "http://localhost:8000" +MODEL = "auto" + + +class AnthropicMessagesTests(unittest.TestCase): + @staticmethod + def _headers() -> dict[str, str]: + return { + "x-api-key": AUTH_KEY, + "anthropic-version": "2023-06-01", + } + + def test_message_http(self): + """测试 Anthropic Messages 的非流式 HTTP 调用。""" + response = requests.post( + f"{BASE_URL}/v1/messages", + headers=self._headers(), + json={ + "model": MODEL, + "messages": [ + {"role": "user", "content": "你好，请简单介绍一下你自己。"}, + ], + }, + timeout=300, + ) + print("messages non-stream status:") + print(response.status_code) + print("messages non-stream result:") + try: + print(json.dumps(response.json(), ensure_ascii=False, indent=2)) + except Exception: + print(response.text) + + def test_message_stream_http(self): + """测试 Anthropic Messages 的流式 HTTP 调用。""" + started_at = time.time() + response = requests.post( + f"{BASE_URL}/v1/messages", + headers=self._headers(), + json={ + "model": MODEL, + "stream": True, + "messages": [ + {"role": "user", "content": "你好，请简单介绍一下你自己。"}, + ], + }, + stream=True, + timeout=300, + ) + headers_at = time.time() + print("messages stream status:") + print(response.status_code) + print("messages stream content-type:") + print(response.headers.get("content-type", "")) + print("messages stream response headers:") + print(f"{headers_at - started_at:6.2f}s") + if response.status_code != 200: + print(response.text) + return + print("messages stream chunks:") + for line in response.iter_lines(chunk_size=1): + if not line: + continue + text = line.decode("utf-8", errors="replace") + print(f"{time.time() - started_at:6.2f}s {text}") + if not text.startswith("data:"): + continue + try: + payload = json.loads(text[5:].strip()) + except Exception: + continue + if payload.get("type") == "message_stop": + break + + +if __name__ == "__main__": + unittest.main() diff --git a/test/test_v1_models.py b/test/test_v1_models.py new file mode 100644 index 0000000000000000000000000000000000000000..3cd3d8535d9edd4d5307ba8255406dd070ac9823 --- /dev/null +++ b/test/test_v1_models.py @@ -0,0 +1,81 @@ +from __future__ import annotations + +import json +import unittest +from unittest import mock + +import requests + +from services.protocol import openai_v1_models + + +AUTH_KEY = "chatgpt2api" +BASE_URL = "http://localhost:8000" + + +class ModelListTests(unittest.TestCase): + def test_list_models_only_returns_image_models_backed_by_account_types(self): + with ( + mock.patch.object( + openai_v1_models.OpenAIBackendAPI, + "list_models", + return_value={"object": "list", "data": []}, + ), + mock.patch.object( + openai_v1_models.account_service, + "list_accounts", + return_value=[ + {"access_token": "token-free", "type": "free"}, + {"access_token": "token-web-team", "type": "Team", "source_type": "web"}, + {"access_token": "token-codex-team", "type": "Team", "source_type": "codex"}, + ], + ), + ): + result = openai_v1_models.list_models() + + ids = {item["id"] for item in result["data"]} + self.assertIn("gpt-image-2", ids) + self.assertIn("codex-gpt-image-2", ids) + self.assertIn("team-codex-gpt-image-2", ids) + self.assertNotIn("plus-codex-gpt-image-2", ids) + self.assertNotIn("pro-codex-gpt-image-2", ids) + + def test_list_models_does_not_return_codex_models_for_web_plus_accounts(self): + with ( + mock.patch.object( + openai_v1_models.OpenAIBackendAPI, + "list_models", + return_value={"object": "list", "data": []}, + ), + mock.patch.object( + openai_v1_models.account_service, + "list_accounts", + return_value=[ + {"access_token": "token-web-plus", "type": "Plus", "source_type": "web"}, + ], + ), + ): + result = openai_v1_models.list_models() + + ids = {item["id"] for item in result["data"]} + self.assertIn("gpt-image-2", ids) + self.assertNotIn("codex-gpt-image-2", ids) + self.assertNotIn("plus-codex-gpt-image-2", ids) + + def test_list_models_function(self): + """测试直接调用服务层获取模型列表。""" + result = openai_v1_models.list_models() + print("function result:") + print(json.dumps(result, ensure_ascii=False, indent=2)) + + def test_list_models_http(self): + """测试通过 HTTP 接口获取模型列表。""" + response = requests.get( + f"{BASE_URL}/v1/models", + headers={"Authorization": f"Bearer {AUTH_KEY}"}, + timeout=30, + ) + print("http status:") + print(response.status_code) + print("http result:") + print(json.dumps(response.json(), ensure_ascii=False, indent=2)) diff --git a/test/test_v1_responses.py b/test/test_v1_responses.py new file mode 100644 index 0000000000000000000000000000000000000000..a06bf7681980aae0bfc470ffd138445dc9425da0 --- /dev/null +++ b/test/test_v1_responses.py @@ -0,0 +1,294 @@ +from __future__ import annotations + +import json +import time +import unittest + +import requests + +from test.utils import save_image + +AUTH_KEY = "chatgpt2api" +BASE_URL = "http://localhost:8000" +TEXT_MODEL = "auto" +IMAGE_MODEL = "gpt-image-2" +CODEX_IMAGE_MODEL = "codex-gpt-image-2" + + +class ResponsesTests(unittest.TestCase): + @staticmethod + def _iter_sse_payloads(response: requests.Response): + for line in response.iter_lines(): + if not line: + continue + text = line.decode("utf-8", errors="replace") + yield text + + def test_text_response_http(self): + """测试 Responses 文本的非流式 HTTP 调用。""" + response = requests.post( + f"{BASE_URL}/v1/responses", + headers={"Authorization": f"Bearer {AUTH_KEY}"}, + json={ + "model": TEXT_MODEL, + "input": [ + { + "role": "user", + "content": [ + {"type": "input_text", "text": "你好，请简单介绍一下你自己。"}, + ], + } + ], + }, + timeout=300, + ) + self.assertEqual(response.status_code, 200, response.text) + print("responses text non-stream status:") + print(response.status_code) + print("responses text non-stream result:") + try: + payload = response.json() + print(json.dumps(payload, ensure_ascii=False, indent=2)) + self.assertEqual(payload.get("object"), "response") + self.assertEqual(payload.get("status"), "completed") + self.assertTrue(isinstance(payload.get("output"), list) and payload.get("output")) + except Exception: + print(response.text) + raise + + def test_text_response_stream_http(self): + """测试 Responses 文本的流式 HTTP 调用。""" + response = requests.post( + f"{BASE_URL}/v1/responses", + headers={"Authorization": f"Bearer {AUTH_KEY}"}, + json={ + "model": TEXT_MODEL, + "input": [ + { + "role": "user", + "content": [ + {"type": "input_text", "text": "你好，请简单介绍一下你自己。"}, + ], + } + ], + "stream": True, + }, + stream=True, + timeout=300, + ) + self.assertEqual(response.status_code, 200, response.text) + self.assertTrue( + response.headers.get("content-type", "").startswith("text/event-stream"), + response.headers.get("content-type", ""), + ) + started_at = time.time() + print("responses text stream status:") + print(response.status_code) + print("responses text stream chunks:") + event_types = [] + for text in self._iter_sse_payloads(response): + print(f"{time.time() - started_at:6.2f}s {text}") + if not text.startswith("data:"): + continue + payload_text = text[5:].strip() + if payload_text == "[DONE]": + break + try: + payload = json.loads(payload_text) + except Exception: + continue + event_type = str(payload.get("type") or "") + if event_type: + event_types.append(event_type) + self.assertIn("response.created", event_types) + self.assertIn("response.completed", event_types) + + def test_image_response_http(self): + """测试 Responses 画图的非流式 HTTP 调用。""" + response = requests.post( + f"{BASE_URL}/v1/responses", + headers={"Authorization": f"Bearer {AUTH_KEY}"}, + json={ + "model": IMAGE_MODEL, + "input": [ + { + "role": "user", + "content": [ + {"type": "input_text", "text": "我想做一张南京城市宣传海报图。"}, + ], + } + ], + "tools": [{"type": "image_generation"}], + }, + timeout=300, + ) + self.assertEqual(response.status_code, 200, response.text) + saved_paths = [] + try: + payload = response.json() + except Exception: + payload = {} + for index, item in enumerate(payload.get("output") or [], start=1): + if not isinstance(item, dict): + continue + image_b64 = str(item.get("result") or "") + if image_b64: + saved_paths.append(save_image(image_b64, f"responses_image_non_stream_{index}")) + print("responses image non-stream status:") + print(response.status_code) + print("responses image non-stream result:") + print(json.dumps(payload, ensure_ascii=False, indent=2)) + print("responses image non-stream saved files:") + for path in saved_paths: + print(path) + + def test_image_response_stream_http(self): + """测试 Responses 画图的流式 HTTP 调用。""" + response = requests.post( + f"{BASE_URL}/v1/responses", + headers={"Authorization": f"Bearer {AUTH_KEY}"}, + json={ + "model": IMAGE_MODEL, + "input": [ + { + "role": "user", + "content": [ + {"type": "input_text", "text": "我想做一张南京城市宣传海报图。"}, + ], + } + ], + "tools": [{"type": "image_generation"}], + "stream": True, + }, + stream=True, + timeout=300, + ) + self.assertEqual(response.status_code, 200, response.text) + self.assertTrue( + response.headers.get("content-type", "").startswith("text/event-stream"), + response.headers.get("content-type", ""), + ) + started_at = time.time() + saved_paths = [] + print("responses image stream status:") + print(response.status_code) + print("responses image stream chunks:") + for text in self._iter_sse_payloads(response): + print(f"{time.time() - started_at:6.2f}s {text}") + if not text.startswith("data:"): + continue + payload_text = text[5:].strip() + if payload_text == "[DONE]": + break + try: + payload = json.loads(payload_text) + except Exception: + continue + if payload.get("type") != "response.output_item.done": + continue + item = payload.get("item") or {} + if str(item.get("type") or "") != "image_generation_call": + continue + image_b64 = str(item.get("result") or "") + if image_b64: + saved_paths.append(save_image(image_b64, f"responses_image_stream_{len(saved_paths) + 1}")) + print("responses image stream saved files:") + for path in saved_paths: + print(path) + + def test_codex_image_response_http(self): + """测试 Responses 的 codex 画图非流式 HTTP 调用。""" + response = requests.post( + f"{BASE_URL}/v1/responses", + headers={"Authorization": f"Bearer {AUTH_KEY}"}, + json={ + "model": CODEX_IMAGE_MODEL, + "input": [ + { + "role": "user", + "content": [ + {"type": "input_text", "text": "我想做一张南京城市宣传海报图。"}, + ], + } + ], + "tools": [{"type": "image_generation"}], + }, + timeout=300, + ) + self.assertEqual(response.status_code, 200, response.text) + saved_paths = [] + try: + payload = response.json() + except Exception: + payload = {} + for index, item in enumerate(payload.get("output") or [], start=1): + if not isinstance(item, dict): + continue + image_b64 = str(item.get("result") or "") + if image_b64: + saved_paths.append(save_image(image_b64, f"responses_codex_image_non_stream_{index}")) + print("responses codex image non-stream status:") + print(response.status_code) + print("responses codex image non-stream result:") + print(json.dumps(payload, ensure_ascii=False, indent=2)) + print("responses codex image non-stream saved files:") + for path in saved_paths: + print(path) + + def test_codex_image_response_stream_http(self): + """测试 Responses 的 codex 画图流式 HTTP 调用。""" + response = requests.post( + f"{BASE_URL}/v1/responses", + headers={"Authorization": f"Bearer {AUTH_KEY}"}, + json={ + "model": CODEX_IMAGE_MODEL, + "input": [ + { + "role": "user", + "content": [ + {"type": "input_text", "text": "我想做一张南京城市宣传海报图。"}, + ], + } + ], + "tools": [{"type": "image_generation"}], + "stream": True, + }, + stream=True, + timeout=300, + ) + self.assertEqual(response.status_code, 200, response.text) + self.assertTrue( + response.headers.get("content-type", "").startswith("text/event-stream"), + response.headers.get("content-type", ""), + ) + started_at = time.time() + saved_paths = [] + print("responses codex image stream status:") + print(response.status_code) + print("responses codex image stream chunks:") + for text in self._iter_sse_payloads(response): + print(f"{time.time() - started_at:6.2f}s {text}") + if not text.startswith("data:"): + continue + payload_text = text[5:].strip() + if payload_text == "[DONE]": + break + try: + payload = json.loads(payload_text) + except Exception: + continue + if payload.get("type") != "response.output_item.done": + continue + item = payload.get("item") or {} + if str(item.get("type") or "") != "image_generation_call": + continue + image_b64 = str(item.get("result") or "") + if image_b64: + saved_paths.append(save_image(image_b64, f"responses_codex_image_stream_{len(saved_paths) + 1}")) + print("responses codex image stream saved files:") + for path in saved_paths: + print(path) + + +if __name__ == "__main__": + unittest.main() diff --git a/test/utils.py b/test/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..bfb5ba0f6e65325392f6cbfa55a55ca97f20653c --- /dev/null +++ b/test/utils.py @@ -0,0 +1,47 @@ +import base64 +import json +import sys +import time +import urllib.request +from pathlib import Path + + +ROOT_DIR = Path(__file__).resolve().parents[1] +OUTPUT_DIR = ROOT_DIR / "data" / "output" +BASE_URL = "http://127.0.0.1:8000" + +if str(ROOT_DIR) not in sys.path: + sys.path.insert(0, str(ROOT_DIR)) + + +def load_auth_key() -> str: + return json.loads((ROOT_DIR / "config.json").read_text(encoding="utf-8"))["auth-key"] + + +def post_json(path: str, payload: dict) -> dict: + request = urllib.request.Request( + BASE_URL + path, + data=json.dumps(payload).encode(), + headers={"Content-Type": "application/json", "Authorization": f"Bearer {load_auth_key()}"}, + method="POST", + ) + with urllib.request.urlopen(request) as response: + return json.loads(response.read().decode()) + + +def detect_ext(image_bytes: bytes) -> str: + if image_bytes.startswith(b"\xff\xd8\xff"): + return ".jpg" + if image_bytes.startswith(b"RIFF") and image_bytes[8:12] == b"WEBP": + return ".webp" + if image_bytes.startswith((b"GIF87a", b"GIF89a")): + return ".gif" + return ".png" + + +def save_image(image_b64: str, name: str) -> Path: + image_bytes = base64.b64decode(image_b64) + OUTPUT_DIR.mkdir(parents=True, exist_ok=True) + path = OUTPUT_DIR / f"{name}_{int(time.time())}{detect_ext(image_bytes)}" + path.write_bytes(image_bytes) + return path diff --git a/utils/__init__.py b/utils/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/utils/helper.py b/utils/helper.py new file mode 100644 index 0000000000000000000000000000000000000000..4b37e447ff2593f3465ee96370a6238d18772623 --- /dev/null +++ b/utils/helper.py @@ -0,0 +1,469 @@ +import base64 +import hashlib +import json +import mimetypes +import re +import time +import uuid +from pathlib import Path +from typing import Any, Iterator +from urllib.parse import urlparse + +from curl_cffi import requests +from fastapi import HTTPException +from services.proxy_service import proxy_settings +from utils.log import logger + +BASE_IMAGE_MODELS = {"gpt-image-2", "codex-gpt-image-2"} +IMAGE_MODEL_PLAN_TYPES = ("plus", "team", "pro") +CODEX_IMAGE_MODEL = "codex-gpt-image-2" +PREFIXED_CODEX_IMAGE_MODELS = { + f"{plan_type}-{CODEX_IMAGE_MODEL}" + for plan_type in IMAGE_MODEL_PLAN_TYPES +} +IMAGE_MODELS = BASE_IMAGE_MODELS | PREFIXED_CODEX_IMAGE_MODELS +PUBLIC_IMAGE_MODELS = BASE_IMAGE_MODELS | PREFIXED_CODEX_IMAGE_MODELS +OUTPUT_DIR = Path(__file__).resolve().parent / "output" + +SUPPORTED_JSON_IMAGE_MIME_TYPES = {"image/png", "image/jpeg", "image/jpg", "image/webp", "image/gif"} +MAX_JSON_IMAGE_BYTES = 10 * 1024 * 1024 +MAX_JSON_EDIT_IMAGES = 10 +DATA_URL_IMAGE_RE = re.compile(r"^data:(?P<mime>[-+./\w]+);base64,(?P<data>.*)$", re.DOTALL) +REMOTE_IMAGE_TIMEOUT_SECONDS = 20 + + +def _image_extension(mime_type: str) -> str: + image_type = mime_type.split("/", 1)[1].split(";", 1)[0].lower() if "/" in mime_type else "png" + return "jpg" if image_type == "jpeg" else image_type or "png" + + +def _decode_json_image_string(value: str, index: int, filename: str | None = None, mime_type: str | None = None) -> tuple[bytes, str, str]: + text = value.strip() + if not text: + raise HTTPException(status_code=400, detail={"error": "image file is empty"}) + match = DATA_URL_IMAGE_RE.match(text) + if match: + resolved_mime = (match.group("mime") or "image/png").lower() + encoded = match.group("data") + else: + if text.startswith(("http://", "https://")): + raise HTTPException(status_code=400, detail={"error": "remote image URLs are not supported"}) + resolved_mime = (mime_type or "image/png").lower() + encoded = text + if resolved_mime == "image/jpg": + resolved_mime = "image/jpeg" + if resolved_mime not in SUPPORTED_JSON_IMAGE_MIME_TYPES: + raise HTTPException(status_code=400, detail={"error": "unsupported image mime type"}) + try: + image_data = base64.b64decode(encoded, validate=True) + except Exception as exc: + raise HTTPException(status_code=400, detail={"error": "invalid base64 image data"}) from exc + if not image_data: + raise HTTPException(status_code=400, detail={"error": "image file is empty"}) + if len(image_data) > MAX_JSON_IMAGE_BYTES: + raise HTTPException(status_code=400, detail={"error": "image file is too large"}) + return image_data, filename or f"image_{index}.{_image_extension(resolved_mime)}", resolved_mime + + +def _extract_json_image_value(item: object) -> tuple[str, str | None, str | None]: + if isinstance(item, str): + return item, None, None + if not isinstance(item, dict): + raise HTTPException(status_code=400, detail={"error": "image entry must be a base64 string or object"}) + filename = str(item.get("filename") or item.get("file_name") or "").strip() or None + mime_type = str(item.get("mime_type") or item.get("mimeType") or "").strip() or None + value = item.get("b64_json") or item.get("base64") + if not value: + image_url = item.get("image_url") or item.get("url") + if isinstance(image_url, dict): + filename = filename or str(image_url.get("filename") or image_url.get("file_name") or "").strip() or None + mime_type = mime_type or str(image_url.get("mime_type") or image_url.get("mimeType") or "").strip() or None + value = image_url.get("url") or image_url.get("image_url") + else: + value = image_url + if not isinstance(value, str) or not value.strip(): + raise HTTPException(status_code=400, detail={"error": "image entry must include image data"}) + return value, filename, mime_type + + +def normalize_json_edit_images(image: object = None, images: object = None) -> list[tuple[bytes, str, str]]: + raw_images = images if images is not None else image + if raw_images is None: + raise HTTPException(status_code=400, detail={"error": "image file is required"}) + entries = raw_images if isinstance(raw_images, list) else [raw_images] + if not entries: + raise HTTPException(status_code=400, detail={"error": "image file is required"}) + if len(entries) > MAX_JSON_EDIT_IMAGES: + raise HTTPException(status_code=400, detail={"error": f"images supports up to {MAX_JSON_EDIT_IMAGES} items"}) + normalized = [] + for index, item in enumerate(entries, start=1): + value, filename, mime_type = _extract_json_image_value(item) + normalized.append(_decode_json_image_string(value, index, filename, mime_type)) + return normalized + + +def new_uuid() -> str: + return str(uuid.uuid4()) + + +def split_image_model(model: object) -> tuple[str | None, str | None]: + normalized = str(model or "").strip().lower() + if not normalized: + return None, None + if normalized in BASE_IMAGE_MODELS: + return None, normalized + for plan_type in IMAGE_MODEL_PLAN_TYPES: + prefix = f"{plan_type}-" + if normalized.startswith(prefix): + base_model = normalized[len(prefix):] + if base_model == CODEX_IMAGE_MODEL: + return plan_type, base_model + return None, None + + +def is_supported_image_model(model: object) -> bool: + _, base_model = split_image_model(model) + return base_model is not None + + +def is_codex_image_model(model: object) -> bool: + _, base_model = split_image_model(model) + return base_model == CODEX_IMAGE_MODEL + + +def is_image_chat_request(body: dict[str, object]) -> bool: + model = str(body.get("model") or "").strip() + modalities = body.get("modalities") + if is_supported_image_model(model): + return True + return isinstance(modalities, list) and "image" in {str(item or "").strip().lower() for item in modalities} + + +_UPSTREAM_BODY_LOG_LIMIT = 500 + + +class UpstreamHTTPError(RuntimeError): + """Raised when an upstream HTTP call returns a non-2xx status. + + Carries structured fields (status_code, body, retry_after) so callers can + branch on status code instead of string-matching on str(exc). The full + body is preserved on the instance; the formatted message truncates it + to keep log lines reasonable. + """ + + def __init__( + self, + context: str, + status_code: int, + body: Any, + retry_after: int | None = None, + ) -> None: + self.context = context + self.status_code = status_code + self.body = body + self.retry_after = retry_after + if isinstance(body, (dict, list)): + try: + body_str = json.dumps(body, ensure_ascii=False) + except (TypeError, ValueError): + body_str = repr(body) + else: + body_str = str(body) + if len(body_str) > _UPSTREAM_BODY_LOG_LIMIT: + body_str = body_str[:_UPSTREAM_BODY_LOG_LIMIT] + "…[truncated]" + super().__init__(f"{context} failed: status={status_code}, body={body_str}") + + +def ensure_ok(response: requests.Response, context: str) -> None: + if 200 <= response.status_code < 300: + return + body: Any = response.text + try: + body = response.json() + except Exception: + pass + retry_after_header = response.headers.get("Retry-After") if hasattr(response, "headers") else None + retry_after: int | None = None + if retry_after_header is not None: + ra_str = str(retry_after_header).strip() + if ra_str.isdigit(): + retry_after = int(ra_str) + raise UpstreamHTTPError(context, response.status_code, body, retry_after=retry_after) + + +def sse_json_stream(items) -> Iterator[str]: + yield ": stream-open\n\n" + try: + for item in items: + yield f"data: {json.dumps(item, ensure_ascii=False)}\n\n" + except Exception as exc: + logger.warning({ + "event": "sse_stream_error", + "error_type": exc.__class__.__name__, + "error": str(exc), + }) + error = exc.to_openai_error() if hasattr(exc, "to_openai_error") else { + "error": {"message": str(exc), "type": exc.__class__.__name__} + } + yield f"data: {json.dumps(error, ensure_ascii=False)}\n\n" + yield "data: [DONE]\n\n" + + +def anthropic_sse_stream(items) -> Iterator[str]: + try: + for item in items: + event = str(item.get("type") or "message_delta") if isinstance(item, dict) else "message_delta" + yield f"event: {event}\n" + yield f"data: {json.dumps(item, ensure_ascii=False)}\n\n" + except Exception as exc: + logger.warning({ + "event": "anthropic_sse_stream_error", + "error_type": exc.__class__.__name__, + "error": str(exc), + }) + error = {"type": "error", "error": {"type": exc.__class__.__name__, "message": str(exc)}} + yield "event: error\n" + yield f"data: {json.dumps(error, ensure_ascii=False)}\n\n" + + +def iter_sse_payloads(response: requests.Response) -> Iterator[str]: + for raw_line in response.iter_lines(): + if not raw_line: + continue + line = raw_line.decode("utf-8", errors="ignore") if isinstance(raw_line, bytes) else str(raw_line) + if not line.startswith("data:"): + continue + payload = line[5:].strip() + if payload: + yield payload + + +def save_images_from_text(text: str, prefix: str) -> list[Path]: + OUTPUT_DIR.mkdir(parents=True, exist_ok=True) + matches = re.findall(r"data:image/[^;]+;base64,[A-Za-z0-9+/=]+", text or "") + saved_paths: list[Path] = [] + timestamp = int(time.time() * 1000) + for index, data_url in enumerate(matches, start=1): + header, encoded = data_url.split(",", 1) + image_type = header.split(";")[0].removeprefix("data:image/").strip() or "png" + extension = "jpg" if image_type == "jpeg" else image_type + output_path = OUTPUT_DIR / f"{prefix}_{timestamp}_{index}.{extension}" + output_path.write_bytes(base64.b64decode(encoded)) + saved_paths.append(output_path) + return saved_paths + + +def anonymize_token(token: object) -> str: + value = str(token or "").strip() + if not value: + return "token:empty" + digest = hashlib.sha256(value.encode("utf-8")).hexdigest()[:10] + return f"token:{digest}" + + +def extract_response_prompt(input_value: object) -> str: + if isinstance(input_value, str): + return input_value.strip() + if isinstance(input_value, dict): + role = str(input_value.get("role") or "").strip().lower() + if role and role != "user": + return "" + return extract_prompt_from_message_content(input_value.get("content")) + if not isinstance(input_value, list): + return "" + prompt_parts: list[str] = [] + for item in input_value: + if isinstance(item, dict) and str(item.get("type") or "").strip() == "input_text": + text = str(item.get("text") or "").strip() + if text: + prompt_parts.append(text) + continue + if not isinstance(item, dict): + continue + role = str(item.get("role") or "").strip().lower() + if role and role != "user": + continue + prompt = extract_prompt_from_message_content(item.get("content")) + if prompt: + prompt_parts.append(prompt) + return "\n".join(prompt_parts).strip() + + +def has_response_image_generation_tool(body: dict[str, object]) -> bool: + tools = body.get("tools") + if isinstance(tools, list): + for tool in tools: + if isinstance(tool, dict) and str(tool.get("type") or "").strip() == "image_generation": + return True + tool_choice = body.get("tool_choice") + return isinstance(tool_choice, dict) and str(tool_choice.get("type") or "").strip() == "image_generation" + + +def extract_prompt_from_message_content(content: object) -> str: + if isinstance(content, str): + return content.strip() + if not isinstance(content, list): + return "" + parts: list[str] = [] + for item in content: + if not isinstance(item, dict): + continue + item_type = str(item.get("type") or "").strip() + if item_type == "text": + text = str(item.get("text") or "").strip() + if text: + parts.append(text) + elif item_type == "input_text": + text = str(item.get("text") or item.get("input_text") or "").strip() + if text: + parts.append(text) + return "\n".join(parts).strip() + + +def _message_image_url(value: object) -> str: + if isinstance(value, dict): + return str(value.get("url") or value.get("image_url") or "").strip() + return str(value or "").strip() + + +def _decode_message_image_url(value: object) -> tuple[bytes, str] | None: + source = _message_image_url(value) + if source.startswith("data:"): + header, _, data = source.partition(",") + mime = header.split(";")[0].removeprefix("data:") or "image/png" + return base64.b64decode(data), mime + if not source.startswith(("http://", "https://")): + return None + parsed = urlparse(source) + if parsed.scheme not in {"http", "https"} or not parsed.netloc: + return None + + try: + response = requests.get( + source, + headers={"Accept": "image/*,*/*;q=0.8", "User-Agent": "chatgpt2api vision fetcher"}, + timeout=REMOTE_IMAGE_TIMEOUT_SECONDS, + allow_redirects=True, + **proxy_settings.build_session_kwargs(), + ) + except Exception as exc: + raise HTTPException(status_code=400, detail={"error": f"image_url fetch failed: {exc}"}) from exc + if not 200 <= response.status_code < 300: + raise HTTPException(status_code=400, detail={"error": f"image_url fetch failed: HTTP {response.status_code}"}) + content_length = str(response.headers.get("content-length") or "").strip() + if content_length.isdigit() and int(content_length) > MAX_JSON_IMAGE_BYTES: + raise HTTPException(status_code=400, detail={"error": "image_url exceeds 10MB limit"}) + image_data = response.content + if not image_data: + raise HTTPException(status_code=400, detail={"error": "image_url returned empty content"}) + if len(image_data) > MAX_JSON_IMAGE_BYTES: + raise HTTPException(status_code=400, detail={"error": "image_url exceeds 10MB limit"}) + mime = str(response.headers.get("content-type") or "image/png").split(";", 1)[0].lower() + guessed_mime = mimetypes.guess_type(parsed.path)[0] or "" + if mime and not mime.startswith("image/") and mime not in {"application/octet-stream", "binary/octet-stream"}: + raise HTTPException(status_code=400, detail={"error": "image_url must point to an image"}) + if not mime.startswith("image/") and guessed_mime.startswith("image/"): + mime = guessed_mime + if not mime.startswith("image/"): + mime = "image/png" + return image_data, mime + + +def _decode_message_image_object(item: dict[str, object]) -> tuple[bytes, str] | None: + data = item.get("data") + if isinstance(data, (bytes, bytearray)): + return bytes(data), str(item.get("mime") or item.get("mime_type") or "image/png") + for key in ("image_url", "url"): + image = _decode_message_image_url(item.get(key)) + if image: + return image + value = item.get("b64_json") or item.get("base64") + if isinstance(value, str) and value.strip(): + image_data, _, mime = _decode_json_image_string( + value, + 1, + mime_type=str(item.get("mime") or item.get("mime_type") or item.get("mimeType") or "image/png"), + ) + return image_data, mime + source = item.get("source") + if isinstance(source, dict) and str(source.get("type") or "") == "base64": + encoded = str(source.get("data") or "") + mime = str(source.get("media_type") or source.get("mime_type") or "image/png") + image_data, _, resolved_mime = _decode_json_image_string(encoded, 1, mime_type=mime) + return image_data, resolved_mime + return None + + +def extract_image_from_message_content(content: object) -> list[tuple[bytes, str]]: + if not isinstance(content, list): + return [] + images = [] + for item in content: + if not isinstance(item, dict): + continue + item_type = str(item.get("type") or "").strip() + if item_type == "image_url": + image = _decode_message_image_url(item.get("image_url") or item.get("url") or item) + if image: + images.append(image) + elif item_type in {"input_image", "image"}: + image = _decode_message_image_object(item) + if image: + images.append(image) + return images + + +def extract_chat_image(body: dict[str, object]) -> list[tuple[bytes, str]]: + messages = body.get("messages") + if not isinstance(messages, list): + return [] + for message in reversed(messages): + if not isinstance(message, dict): + continue + if str(message.get("role") or "").strip().lower() != "user": + continue + images = extract_image_from_message_content(message.get("content")) + if images: + return images + return [] + + +def extract_chat_prompt(body: dict[str, object]) -> str: + direct_prompt = str(body.get("prompt") or "").strip() + if direct_prompt: + return direct_prompt + messages = body.get("messages") + if not isinstance(messages, list): + return "" + prompt_parts: list[str] = [] + for message in messages: + if not isinstance(message, dict): + continue + if str(message.get("role") or "").strip().lower() != "user": + continue + prompt = extract_prompt_from_message_content(message.get("content")) + if prompt: + prompt_parts.append(prompt) + return "\n".join(prompt_parts).strip() + + +def parse_image_count(raw_value: object) -> int: + try: + value = int(raw_value or 1) + except (TypeError, ValueError) as exc: + raise HTTPException(status_code=400, detail={"error": "n must be an integer"}) from exc + if value < 1 or value > 4: + raise HTTPException(status_code=400, detail={"error": "n must be between 1 and 4"}) + return value + + +def build_chat_image_markdown_content(image_result: dict[str, object]) -> str: + image_items = image_result.get("data") if isinstance(image_result.get("data"), list) else [] + markdown_images: list[str] = [] + for index, item in enumerate(image_items, start=1): + if not isinstance(item, dict): + continue + b64_json = str(item.get("b64_json") or "").strip() + if b64_json: + markdown_images.append(f"![image_{index}](data:image/png;base64,{b64_json})") + return "\n\n".join(markdown_images) if markdown_images else "Image generation completed." diff --git a/utils/image_tokens.py b/utils/image_tokens.py new file mode 100644 index 0000000000000000000000000000000000000000..3ad27b20f733cac4eed34f508d9f9cdb46b37f35 --- /dev/null +++ b/utils/image_tokens.py @@ -0,0 +1,346 @@ +from __future__ import annotations + +import base64 +import math +import re +from io import BytesIO +from typing import Any + +from PIL import Image + +DEFAULT_IMAGE_SIZE = (1024, 1024) +IMAGE_INPUT_TOKEN_MODEL = "gpt-5.4-mini" + +PATCH_SIZE = 32 +TILE_SIZE = 512 +TILE_HIGH_SHORT_SIDE = 768 + +PATCH_1536_MODELS = ( + "gpt-5.4-mini", + "gpt-5.4-nano", + "gpt-5-mini", + "gpt-5-nano", + "gpt-5.2", + "gpt-5.3-codex", + "gpt-5-codex-mini", + "gpt-5.1-codex-mini", + "gpt-5.2-codex", + "gpt-5.2-chat-latest", + "o4-mini", + "gpt-4.1-mini", + "gpt-4.1-nano", +) + +PATCH_MULTIPLIERS = { + "gpt-5.4-mini": 1.62, + "gpt-5.4-nano": 2.46, + "gpt-5-mini": 1.62, + "gpt-5-nano": 2.46, + "gpt-4.1-mini": 1.62, + "gpt-4.1-nano": 2.46, + "o4-mini": 1.72, +} + + +def _model_name(model: str) -> str: + return str(model or "").strip().lower() + + +def image_size_from_bytes(data: bytes) -> tuple[int, int] | None: + if not data: + return None + try: + with Image.open(BytesIO(data)) as image: + width, height = image.size + except Exception: + return None + if width <= 0 or height <= 0: + return None + return int(width), int(height) + + +def _decode_data_url(value: str) -> bytes: + text = str(value or "").strip() + payload = text.split(",", 1)[1] if text.startswith("data:") and "," in text else text + return base64.b64decode(payload) + + +def image_size_from_data_url(value: str) -> tuple[int, int] | None: + try: + return image_size_from_bytes(_decode_data_url(value)) + except Exception: + return None + + +def parse_image_size(size: object, default: tuple[int, int] = DEFAULT_IMAGE_SIZE) -> tuple[int, int]: + if isinstance(size, (tuple, list)) and len(size) >= 2: + try: + width = int(size[0]) + height = int(size[1]) + if width > 0 and height > 0: + return width, height + except (TypeError, ValueError): + pass + match = re.search(r"(\d{2,5})\D+(\d{2,5})", str(size or "")) + if not match: + return default + width, height = int(match.group(1)), int(match.group(2)) + return (width, height) if width > 0 and height > 0 else default + + +def _patch_count(width: float, height: float) -> int: + return math.ceil(width / PATCH_SIZE) * math.ceil(height / PATCH_SIZE) + + +def _patch_multiplier(model: str) -> float: + name = _model_name(model) + for prefix, multiplier in PATCH_MULTIPLIERS.items(): + if name.startswith(prefix): + return multiplier + return 1.0 + + +def _patch_limits(model: str, detail: str) -> tuple[int, int] | None: + name = _model_name(model) + if any(name.startswith(prefix) for prefix in PATCH_1536_MODELS): + return 1536, 2048 + if name.startswith("gpt-5.5"): + return (10000, 6000) if detail in {"auto", "original"} else (2500, 2048) + if name.startswith("gpt-5.4"): + return (10000, 6000) if detail == "original" else (2500, 2048) + return None + + +def _patch_tokens(width: int, height: int, model: str, detail: str) -> int: + multiplier = _patch_multiplier(model) + if detail == "low": + return math.ceil(256 * multiplier) + + limits = _patch_limits(model, detail) + if limits is None: + return 0 + patch_budget, max_dimension = limits + scale = min(1.0, max_dimension / max(width, height)) + resized_width = width * scale + resized_height = height * scale + + if _patch_count(resized_width, resized_height) > patch_budget: + shrink_factor = math.sqrt((PATCH_SIZE * PATCH_SIZE * patch_budget) / (resized_width * resized_height)) + width_units = resized_width * shrink_factor / PATCH_SIZE + height_units = resized_height * shrink_factor / PATCH_SIZE + adjusted_shrink_factor = shrink_factor * min( + math.floor(width_units) / width_units if width_units else 1, + math.floor(height_units) / height_units if height_units else 1, + ) + resized_width *= adjusted_shrink_factor + resized_height *= adjusted_shrink_factor + + tokens = min(_patch_count(max(1, resized_width), max(1, resized_height)), patch_budget) + return math.ceil(tokens * multiplier) + + +def _tile_rates(model: str) -> tuple[int, int]: + name = _model_name(model) + if name in {"gpt-5", "gpt-5-chat-latest"}: + return 70, 140 + if name.startswith("gpt-4o-mini"): + return 2833, 5667 + if name.startswith(("o1", "o1-pro", "o3")): + return 75, 150 + if name.startswith("computer-use-preview"): + return 65, 129 + return 85, 170 + + +def _tile_tokens(width: int, height: int, model: str, detail: str) -> int: + base_tokens, tile_tokens = _tile_rates(model) + if detail == "low": + return base_tokens + + scale = min(1.0, 2048 / max(width, height)) + resized_width = width * scale + resized_height = height * scale + short_side = min(resized_width, resized_height) + if short_side > 0: + scale = TILE_HIGH_SHORT_SIDE / short_side + resized_width *= scale + resized_height *= scale + + tiles = math.ceil(resized_width / TILE_SIZE) * math.ceil(resized_height / TILE_SIZE) + return base_tokens + tiles * tile_tokens + + +def count_image_input_tokens( + width: int, + height: int, + model: str, + detail: str = "auto", + input_fidelity: str = "low", +) -> int: + if width <= 0 or height <= 0: + return 0 + detail = str(detail or "auto").strip().lower() or "auto" + return _patch_tokens(width, height, IMAGE_INPUT_TOKEN_MODEL, detail) + + +def _part_size(part: dict[str, Any]) -> tuple[int, int] | None: + try: + width = int(part.get("width") or 0) + height = int(part.get("height") or 0) + except (TypeError, ValueError): + width = height = 0 + if width > 0 and height > 0: + return width, height + + data = part.get("data") + if isinstance(data, (bytes, bytearray)): + return image_size_from_bytes(bytes(data)) + + image_url = part.get("image_url") + if isinstance(image_url, dict): + image_url = image_url.get("url") or image_url.get("image_url") + if isinstance(image_url, str) and image_url.startswith("data:"): + return image_size_from_data_url(image_url) + + source = part.get("source") + if isinstance(source, dict) and str(source.get("type") or "") == "base64": + try: + return image_size_from_bytes(base64.b64decode(str(source.get("data") or ""))) + except Exception: + return None + return None + + +def count_image_content_tokens(content: object, model: str, default_detail: str = "auto") -> int: + if not isinstance(content, list): + return 0 + total = 0 + for part in content: + if not isinstance(part, dict): + continue + part_type = str(part.get("type") or "").strip() + if part_type not in {"image", "image_url", "input_image"} and not part.get("source"): + continue + size = _part_size(part) + if not size: + continue + total += count_image_input_tokens( + size[0], + size[1], + model, + str(part.get("detail") or default_detail or "auto"), + str(part.get("input_fidelity") or part.get("inputFidelity") or "low"), + ) + return total + + +def count_image_inputs_tokens(images: object, model: str, default_detail: str = "auto") -> int: + if not images: + return 0 + total = 0 + entries = images if isinstance(images, list) else [images] + for image in entries: + data = image[0] if isinstance(image, tuple) and image else image + if not isinstance(data, (bytes, bytearray)): + continue + size = image_size_from_bytes(bytes(data)) + if size: + total += count_image_input_tokens(size[0], size[1], model, default_detail) + return total + + +def count_generated_image_tokens(width: int, height: int, quality: str = "auto") -> int: + patches = _patch_count(width, height) + quality = str(quality or "auto").strip().lower() + if quality == "low": + return math.ceil(patches * 17 / 64) + if quality in {"high", "hd"}: + return math.ceil(patches * 65 / 16) + return math.ceil(patches * 33 / 32) + + +def count_image_output_tokens(size: object = None, quality: str = "auto", count: int = 1) -> int: + width, height = parse_image_size(size) + return max(0, int(count or 0)) * count_generated_image_tokens(width, height, quality) + + +def count_image_output_items_tokens( + items: object, + size: object = None, + quality: str = "auto", +) -> int: + if not isinstance(items, list) or not items: + return 0 + fallback_size = parse_image_size(size) + total = 0 + for item in items: + image_size = None + if isinstance(item, dict): + b64_json = str(item.get("b64_json") or "").strip() + if b64_json: + try: + image_size = image_size_from_bytes(base64.b64decode(b64_json)) + except Exception: + image_size = None + width, height = image_size or fallback_size + total += count_generated_image_tokens(width, height, quality) + return total + + +def token_usage( + input_text_tokens: int = 0, + input_image_tokens: int = 0, + output_text_tokens: int = 0, + output_image_tokens: int = 0, +) -> dict[str, Any]: + input_tokens = max(0, int(input_text_tokens or 0)) + max(0, int(input_image_tokens or 0)) + output_tokens = max(0, int(output_text_tokens or 0)) + max(0, int(output_image_tokens or 0)) + return { + "input_tokens": input_tokens, + "output_tokens": output_tokens, + "total_tokens": input_tokens + output_tokens, + "input_tokens_details": { + "text_tokens": max(0, int(input_text_tokens or 0)), + "image_tokens": max(0, int(input_image_tokens or 0)), + "cached_tokens": 0, + }, + "output_tokens_details": { + "text_tokens": max(0, int(output_text_tokens or 0)), + "image_tokens": max(0, int(output_image_tokens or 0)), + "reasoning_tokens": 0, + }, + } + + +def image_usage( + input_text_tokens: int = 0, + input_image_tokens: int = 0, + output_tokens: int = 0, +) -> dict[str, Any]: + return token_usage( + input_text_tokens=input_text_tokens, + input_image_tokens=input_image_tokens, + output_image_tokens=output_tokens, + ) + + +def chat_usage_from_image_usage(usage: dict[str, Any]) -> dict[str, Any]: + input_tokens = int(usage.get("input_tokens") or 0) + output_tokens = int(usage.get("output_tokens") or 0) + input_details = usage.get("input_tokens_details") if isinstance(usage.get("input_tokens_details"), dict) else {} + output_details = usage.get("output_tokens_details") if isinstance(usage.get("output_tokens_details"), dict) else {} + return { + "prompt_tokens": input_tokens, + "completion_tokens": output_tokens, + "total_tokens": input_tokens + output_tokens, + "prompt_tokens_details": { + "text_tokens": int(input_details.get("text_tokens") or 0), + "image_tokens": int(input_details.get("image_tokens") or 0), + "cached_tokens": int(input_details.get("cached_tokens") or 0), + }, + "completion_tokens_details": { + "text_tokens": int(output_details.get("text_tokens") or 0), + "image_tokens": int(output_details.get("image_tokens") or 0), + "reasoning_tokens": int(output_details.get("reasoning_tokens") or 0), + }, + } diff --git a/utils/log.py b/utils/log.py new file mode 100644 index 0000000000000000000000000000000000000000..5532dde6c7493af19bb29e055b1e8dceef60a6ee --- /dev/null +++ b/utils/log.py @@ -0,0 +1,110 @@ +import base64 +import binascii +import json +import logging +import re +from typing import Any + + +class Logger: + _DATA_URL_RE = re.compile(r"data:image/[^;]+;base64,[A-Za-z0-9+/=]+") + _JSON_B64_RE = re.compile(r'("b64_json"\s*:\s*")([A-Za-z0-9+/=]+)(")') + + def __init__(self, name: str = "chatgpt2api") -> None: + self._logger = logging.getLogger(name) + if not self._logger.handlers: + handler = logging.StreamHandler() + handler.setFormatter(logging.Formatter("[%(levelname)s] %(message)s")) + self._logger.addHandler(handler) + self._logger.setLevel(logging.DEBUG) + self._logger.propagate = False + + def _enabled(self, level: str) -> bool: + try: + from services.config import config + levels = set(config.log_levels) + except Exception: + levels = set() + return level in (levels or {"info", "warning", "error"}) + + def _mask_string(self, value: str, keep: int = 10) -> str: + if len(value) <= keep: + return value + return value[:keep] + "..." + + def _mask_base64(self, value: str) -> str: + if value.startswith("data:") and ";base64," in value: + header, _, data = value.partition(",") + return f"{header},{self._mask_string(data, 24)} (base64 len={len(data)})" + return f"{self._mask_string(value, 24)} (base64 len={len(value)})" + + def _is_base64_string(self, value: str) -> bool: + if len(value) < 64 or len(value) % 4 != 0: + return False + if not any(char in value for char in "+/="): + return False + try: + base64.b64decode(value, validate=True) + return True + except (binascii.Error, ValueError): + return False + + def _sanitize_string(self, value: str) -> str: + stripped = value.strip() + if stripped.startswith("data:") and ";base64," in stripped: + return self._mask_base64(stripped) + if self._is_base64_string(stripped): + return self._mask_base64(stripped) + sanitized = self._DATA_URL_RE.sub(lambda match: self._mask_base64(match.group(0)), value) + sanitized = self._JSON_B64_RE.sub( + lambda match: f'{match.group(1)}{self._mask_base64(match.group(2))}{match.group(3)}', + sanitized, + ) + if sanitized != value: + return sanitized + return value + + def _sanitize(self, value: Any) -> Any: + if isinstance(value, dict): + sanitized = {} + for key, item in value.items(): + lowered_key = key.lower() + if isinstance(item, str) and ("token" in lowered_key or lowered_key == "dx"): + sanitized[key] = self._mask_string(item) + elif isinstance(item, str) and ("base64" in lowered_key or lowered_key == "b64_json"): + sanitized[key] = self._mask_base64(item) + else: + sanitized[key] = self._sanitize(item) + return sanitized + if isinstance(value, list): + return [self._sanitize(item) for item in value] + if isinstance(value, tuple): + return tuple(self._sanitize(item) for item in value) + if isinstance(value, str): + return self._sanitize_string(value) + return value + + def _message(self, value: Any) -> str: + sanitized = self._sanitize(value) + if isinstance(sanitized, str): + return sanitized + return json.dumps(sanitized, ensure_ascii=False, default=str) + + def debug(self, message: Any) -> None: + if self._enabled("debug"): + self._logger.debug(self._message(message)) + + def info(self, message: Any) -> None: + if self._enabled("info"): + self._logger.info(self._message(message)) + + def warning(self, message: Any) -> None: + if self._enabled("warning"): + self._logger.warning(self._message(message)) + + def error(self, message: Any) -> None: + if self._enabled("error"): + self._logger.error(self._message(message)) + + +logger = Logger() diff --git a/utils/pkce.py b/utils/pkce.py new file mode 100644 index 0000000000000000000000000000000000000000..526ba59373d8d051f25a5bd5b7044a2b5767c52a --- /dev/null +++ b/utils/pkce.py @@ -0,0 +1,19 @@ +"""PKCE (Proof Key for Code Exchange) 工具函数""" +from __future__ import annotations + +import base64 +import hashlib +import secrets + + +def generate_pkce() -> tuple[str, str]: + """生成 PKCE code_verifier 与对应的 code_challenge（S256）。 + + Returns: + (code_verifier, code_challenge) 元组 + """ + code_verifier = base64.urlsafe_b64encode(secrets.token_bytes(64)).rstrip(b"=").decode("ascii") + code_challenge = base64.urlsafe_b64encode( + hashlib.sha256(code_verifier.encode("ascii")).digest() + ).rstrip(b"=").decode("ascii") + return code_verifier, code_challenge diff --git a/utils/pow.py b/utils/pow.py new file mode 100644 index 0000000000000000000000000000000000000000..fcbbb90b3fc4fff695f1dfb5fe58bd069c46ba30 --- /dev/null +++ b/utils/pow.py @@ -0,0 +1,204 @@ +import hashlib +import json +import random +import re +import time +from datetime import datetime, timedelta, timezone +from html.parser import HTMLParser +from typing import Any, Sequence + +import pybase64 + +DEFAULT_POW_SCRIPT = "https://chatgpt.com/backend-api/sentinel/sdk.js" +from utils.helper import new_uuid + + +CORES = [8, 16, 24, 32] +DOCUMENT_KEYS = ["_reactListeningo743lnnpvdg", "location"] + + +class ScriptSrcParser(HTMLParser): + def __init__(self) -> None: + super().__init__() + self.script_sources: list[str] = [] + self.data_build = "" + + def handle_starttag(self, tag: str, attrs: list[tuple[str, str | None]]) -> None: + if tag != "script": + return + attrs_dict = dict(attrs) + src = attrs_dict.get("src") + if not src: + return + self.script_sources.append(src) + match = re.search(r"c/[^/]*/_", src) + if match: + self.data_build = match.group(0) + + +def parse_pow_resources(html_content: str) -> tuple[list[str], str]: + parser = ScriptSrcParser() + parser.feed(html_content) + script_sources = parser.script_sources or [DEFAULT_POW_SCRIPT] + data_build = parser.data_build + if not data_build: + match = re.search(r'<html[^>]*data-build="([^"]*)"', html_content) + if match: + data_build = match.group(1) + return script_sources, data_build + + +def _legacy_parse_time() -> str: + now = datetime.now(timezone(timedelta(hours=-5))) + return now.strftime("%a %b %d %Y %H:%M:%S") + " GMT-0500 (Eastern Standard Time)" + + +def build_pow_config( + user_agent: str, + script_sources: Sequence[str] | None = None, + data_build: str = "", +) -> list[Any]: + navigator_key = random.choice([ + "registerProtocolHandler−function registerProtocolHandler() { [native code] }", + "storage−[object StorageManager]", + "locks−[object LockManager]", + "appCodeName−Mozilla", + "permissions−[object Permissions]", + "share−function share() { [native code] }", + "webdriver−false", + "managed−[object NavigatorManagedData]", + "canShare−function canShare() { [native code] }", + "vendor−Google Inc.", + "mediaDevices−[object MediaDevices]", + "vibrate−function vibrate() { [native code] }", + "storageBuckets−[object StorageBucketManager]", + "mediaCapabilities−[object MediaCapabilities]", + "cookieEnabled−true", + "virtualKeyboard−[object VirtualKeyboard]", + "product−Gecko", + "presentation−[object Presentation]", + "onLine−true", + "mimeTypes−[object MimeTypeArray]", + "credentials−[object CredentialsContainer]", + "serviceWorker−[object ServiceWorkerContainer]", + "keyboard−[object Keyboard]", + "gpu−[object GPU]", + "doNotTrack", + "serial−[object Serial]", + "pdfViewerEnabled−true", + "language−zh-CN", + "geolocation−[object Geolocation]", + "userAgentData−[object NavigatorUAData]", + "getUserMedia−function getUserMedia() { [native code] }", + "sendBeacon−function sendBeacon() { [native code] }", + "hardwareConcurrency−32", + "windowControlsOverlay−[object WindowControlsOverlay]", + ]) + window_key = random.choice([ + "0", + "window", + "self", + "document", + "name", + "location", + "customElements", + "history", + "navigation", + "innerWidth", + "innerHeight", + "scrollX", + "scrollY", + "visualViewport", + "screenX", + "screenY", + "outerWidth", + "outerHeight", + "devicePixelRatio", + "screen", + "chrome", + "navigator", + "onresize", + "performance", + "crypto", + "indexedDB", + "sessionStorage", + "localStorage", + "scheduler", + "alert", + "atob", + "btoa", + "fetch", + "matchMedia", + "postMessage", + "queueMicrotask", + "requestAnimationFrame", + "setInterval", + "setTimeout", + "caches", + "__NEXT_DATA__", + "__BUILD_MANIFEST", + "__NEXT_PRELOADREADY", + ]) + script_source = random.choice(list(script_sources)) if script_sources else DEFAULT_POW_SCRIPT + return [ + random.choice([3000, 4000, 5000]), + _legacy_parse_time(), + 4294705152, + 0, + user_agent, + script_source, + data_build, + "en-US", + "en-US,es-US,en,es", + 0, + navigator_key, + random.choice(DOCUMENT_KEYS), + window_key, + time.perf_counter() * 1000, + new_uuid(), + "", + random.choice(CORES), + time.time() * 1000 - (time.perf_counter() * 1000), + ] + + +def _pow_generate(seed: str, difficulty: str, config: list[Any], limit: int = 500000) -> tuple[str, bool]: + target = bytes.fromhex(difficulty) + diff_len = len(difficulty) // 2 + seed_bytes = seed.encode() + static_1 = (json.dumps(config[:3], separators=(",", ":"), ensure_ascii=False)[:-1] + ",").encode() + static_2 = ("," + json.dumps(config[4:9], separators=(",", ":"), ensure_ascii=False)[1:-1] + ",").encode() + static_3 = ("," + json.dumps(config[10:], separators=(",", ":"), ensure_ascii=False)[1:]).encode() + for i in range(limit): + final_json = static_1 + str(i).encode() + static_2 + str(i >> 1).encode() + static_3 + encoded = pybase64.b64encode(final_json) + digest = hashlib.sha3_512(seed_bytes + encoded).digest() + if digest[:diff_len] <= target: + return encoded.decode(), True + fallback = "wQ8Lk5FbGpA2NcR9dShT6gYjU7VxZ4D" + pybase64.b64encode(f'"{seed}"'.encode()).decode() + return fallback, False + + +def build_legacy_requirements_token( + user_agent: str, + script_sources: Sequence[str] | None = None, + data_build: str = "", +) -> str: + seed = format(random.random()) + config = build_pow_config(user_agent, script_sources=script_sources, data_build=data_build) + answer, _ = _pow_generate(seed, "0fffff", config) + return "gAAAAAC" + answer + + +def build_proof_token( + seed: str, + difficulty: str, + user_agent: str, + script_sources: Sequence[str] | None = None, + data_build: str = "", +) -> str: + config = build_pow_config(user_agent, script_sources=script_sources, data_build=data_build) + answer, solved = _pow_generate(seed, difficulty, config) + if not solved: + raise RuntimeError(f"failed to solve proof token: difficulty={difficulty}") + return "gAAAAAB" + answer diff --git a/utils/sentinel.py b/utils/sentinel.py new file mode 100644 index 0000000000000000000000000000000000000000..926b9f0b0b91cb94b16d23c4fcc27aaecb8c4f4f --- /dev/null +++ b/utils/sentinel.py @@ -0,0 +1,159 @@ +"""OpenAI Sentinel Token (PoW) 生成与请求工具函数。 + +用于密码登录、注册等需要 sentinel token 的流程。 +""" +from __future__ import annotations + +import base64 +import json +import random +import time +import uuid +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from curl_cffi.requests import Session + + +class SentinelTokenGenerator: + """Sentinel Token 生成器（PoW - Proof of Work）。""" + MAX_ATTEMPTS = 500_000 + ERROR_PREFIX = "wQ8Lk5FbGpA2NcR9dShT6gYjU7VxZ4D" + + def __init__(self, device_id: str, ua: str): + self.device_id = device_id + self.user_agent = ua + self.sid = str(uuid.uuid4()) + + @staticmethod + def _fnv1a_32(text: str) -> str: + h = 2166136261 + for ch in text: + h ^= ord(ch) + h = (h * 16777619) & 0xFFFFFFFF + h ^= h >> 16 + h = (h * 2246822507) & 0xFFFFFFFF + h ^= h >> 13 + h = (h * 3266489909) & 0xFFFFFFFF + h ^= h >> 16 + return format(h & 0xFFFFFFFF, "08x") + + def _get_config(self) -> list: + perf_now = random.uniform(1000, 50000) + return [ + "1920x1080", + time.strftime("%a %b %d %Y %H:%M:%S GMT+0000 (Coordinated Universal Time)", time.gmtime()), + 4294705152, + random.random(), + self.user_agent, + "https://sentinel.openai.com/sentinel/20260124ceb8/sdk.js", + None, + None, + "en-US", + random.random(), + random.choice(["vendorSub-undefined", "plugins-undefined", "mimeTypes-undefined", "hardwareConcurrency-undefined"]), + random.choice(["location", "implementation", "URL", "documentURI", "compatMode"]), + random.choice(["Object", "Function", "Array", "Number", "parseFloat", "undefined"]), + perf_now, + self.sid, + "", + random.choice([4, 8, 12, 16]), + time.time() * 1000 - perf_now, + ] + + @staticmethod + def _b64(data) -> str: + return base64.b64encode(json.dumps(data, separators=(",", ":"), ensure_ascii=False).encode("utf-8")).decode("ascii") + + def generate_requirements_token(self) -> str: + data = self._get_config() + data[3] = 1 + data[9] = round(random.uniform(5, 50)) + return "gAAAAAC" + self._b64(data) + + def generate_token(self, seed: str, difficulty: str) -> str: + start = time.time() + data = self._get_config() + difficulty = str(difficulty or "0") + for i in range(self.MAX_ATTEMPTS): + data[3] = i + data[9] = round((time.time() - start) * 1000) + payload = self._b64(data) + if self._fnv1a_32(seed + payload)[: len(difficulty)] <= difficulty: + return "gAAAAAB" + payload + "~S" + return "gAAAAAB" + self.ERROR_PREFIX + self._b64(str(None)) + + +# ── 默认 User-Agent 和 sec-ch-ua ────────────────────────────── +DEFAULT_SENTINEL_USER_AGENT = ( + "Mozilla/5.0 (Windows NT 10.0; Win64; x64) " + "AppleWebKit/537.36 (KHTML, like Gecko) " + "Chrome/145.0.0.0 Safari/537.36" +) +DEFAULT_SENTINEL_SEC_CH_UA = '"Chromium";v="145", "Google Chrome";v="145", "Not/A)Brand";v="99"' + + +def build_sentinel_token( + session: "Session", + device_id: str, + flow: str, + *, + user_agent: str = "", + sec_ch_ua: str = "", +) -> tuple[str, str]: + """请求 sentinel token 并返回 (sentinel_header_value, oai_sc_cookie_value)。 + + Args: + session: curl_cffi Session 实例 + device_id: 设备 ID + flow: 流程标识（如 "password_verify", "username_password_create" 等） + user_agent: 可选的 User-Agent 覆盖 + sec_ch_ua: 可选的 sec-ch-ua 覆盖 + + Returns: + (openai-sentinel-token header value, oai-sc cookie value) 元组 + + Raises: + RuntimeError: sentinel 请求失败 + """ + ua = user_agent or DEFAULT_SENTINEL_USER_AGENT + ch_ua = sec_ch_ua or DEFAULT_SENTINEL_SEC_CH_UA + generator = SentinelTokenGenerator(device_id, ua) + resp = session.post( + "https://sentinel.openai.com/backend-api/sentinel/req", + data=json.dumps({"p": generator.generate_requirements_token(), "id": device_id, "flow": flow}), + headers={ + "Content-Type": "text/plain;charset=UTF-8", + "Referer": "https://sentinel.openai.com/backend-api/sentinel/frame.html", + "Origin": "https://sentinel.openai.com", + "User-Agent": ua, + "sec-ch-ua": ch_ua, + "sec-ch-ua-mobile": "?0", + "sec-ch-ua-platform": '"Windows"', + }, + timeout=20, + verify=False, + ) + + try: + data = resp.json() if resp.text else {} + except Exception: + fallback = json.dumps( + {"p": generator.generate_requirements_token(), "t": "", "c": "", "id": device_id, "flow": flow}, + separators=(",", ":"), + ) + return fallback, "" + + token = str(data.get("token") or "").strip() + if resp.status_code != 200 or not token: + raise RuntimeError(f"sentinel_req_failed_{resp.status_code}") + pow_data = data.get("proofofwork") or {} + p_value = ( + generator.generate_token(str(pow_data.get("seed") or ""), str(pow_data.get("difficulty") or "0")) + if pow_data.get("required") and pow_data.get("seed") + else generator.generate_requirements_token() + ) + sentinel_value = json.dumps({"p": p_value, "t": "", "c": token, "id": device_id, "flow": flow}, separators=(",", ":")) + # oai-sc cookie = "0" + sentinel token "c" value (the challenge token from the server) + oai_sc_value = "0" + token + return sentinel_value, oai_sc_value diff --git a/utils/turnstile.py b/utils/turnstile.py new file mode 100644 index 0000000000000000000000000000000000000000..ed2ce7ef83e76e1daac3cb3ae62b95597f8417fc --- /dev/null +++ b/utils/turnstile.py @@ -0,0 +1,184 @@ +import base64 +import json +import random +import time +from typing import Any, Dict, Optional + + +class OrderedMap: + def __init__(self) -> None: + self.keys = [] + self.values = {} + + def add(self, key: str, value: Any) -> None: + if key not in self.values: + self.keys.append(key) + self.values[key] = value + + +def _turnstile_to_str(value: Any) -> str: + if value is None: + return "undefined" + if isinstance(value, float): + return str(value) + if isinstance(value, str): + special = { + "window.Math": "[object Math]", + "window.Reflect": "[object Reflect]", + "window.performance": "[object Performance]", + "window.localStorage": "[object Storage]", + "window.Object": "function Object() { [native code] }", + "window.Reflect.set": "function set() { [native code] }", + "window.performance.now": "function () { [native code] }", + "window.Object.create": "function create() { [native code] }", + "window.Object.keys": "function keys() { [native code] }", + "window.Math.random": "function random() { [native code] }", + } + return special.get(value, value) + if isinstance(value, list) and all(isinstance(item, str) for item in value): + return ",".join(value) + return str(value) + + +def _xor_string(text: str, key: str) -> str: + if not key: + return text + return "".join(chr(ord(ch) ^ ord(key[i % len(key)])) for i, ch in enumerate(text)) + + +def solve_turnstile_token(dx: str, p: str) -> Optional[str]: + try: + decoded = base64.b64decode(dx).decode() + token_list = json.loads(_xor_string(decoded, p)) + except Exception: + return None + + process_map: Dict[Any, Any] = {} + start_time = time.time() + result = "" + + def func_1(e: float, t: float) -> None: + process_map[e] = _xor_string(_turnstile_to_str(process_map[e]), _turnstile_to_str(process_map[t])) + + def func_2(e: float, t: Any) -> None: + process_map[e] = t + + def func_3(e: str) -> None: + nonlocal result + result = base64.b64encode(e.encode()).decode() + + def func_5(e: float, t: float) -> None: + current = process_map[e] + incoming = process_map[t] + if isinstance(current, (list, tuple)): + process_map[e] = list(current) + [incoming] + return + if isinstance(current, (str, float)) or isinstance(incoming, (str, float)): + process_map[e] = _turnstile_to_str(current) + _turnstile_to_str(incoming) + return + process_map[e] = "NaN" + + def func_6(e: float, t: float, n: float) -> None: + tv = process_map[t] + nv = process_map[n] + if isinstance(tv, str) and isinstance(nv, str): + value = f"{tv}.{nv}" + process_map[e] = "https://chatgpt.com/" if value == "window.document.location" else value + + def func_7(e: float, *args: float) -> None: + target = process_map[e] + values = [process_map[arg] for arg in args] + if isinstance(target, str) and target == "window.Reflect.set": + obj, key_name, val = values + obj.add(str(key_name), val) + elif callable(target): + target(*values) + + def func_8(e: float, t: float) -> None: + process_map[e] = process_map[t] + + def func_14(e: float, t: float) -> None: + process_map[e] = json.loads(process_map[t]) + + def func_15(e: float, t: float) -> None: + process_map[e] = json.dumps(process_map[t]) + + def func_17(e: float, t: float, *args: float) -> None: + call_args = [process_map[arg] for arg in args] + target = process_map[t] + if target == "window.performance.now": + elapsed_ns = time.time_ns() - int(start_time * 1e9) + process_map[e] = (elapsed_ns + random.random()) / 1e6 + elif target == "window.Object.create": + process_map[e] = OrderedMap() + elif target == "window.Object.keys": + if call_args and call_args[0] == "window.localStorage": + process_map[e] = [ + "STATSIG_LOCAL_STORAGE_INTERNAL_STORE_V4", + "STATSIG_LOCAL_STORAGE_STABLE_ID", + "client-correlated-secret", + "oai/apps/capExpiresAt", + "oai-did", + "STATSIG_LOCAL_STORAGE_LOGGING_REQUEST", + "UiState.isNavigationCollapsed.1", + ] + elif target == "window.Math.random": + process_map[e] = random.random() + elif callable(target): + process_map[e] = target(*call_args) + + def func_18(e: float) -> None: + process_map[e] = base64.b64decode(_turnstile_to_str(process_map[e])).decode() + + def func_19(e: float) -> None: + process_map[e] = base64.b64encode(_turnstile_to_str(process_map[e]).encode()).decode() + + def func_20(e: float, t: float, n: float, *args: float) -> None: + if process_map[e] == process_map[t]: + target = process_map[n] + if callable(target): + target(*[process_map[arg] for arg in args]) + + def func_21(*_: Any) -> None: + return + + def func_23(e: float, t: float, *args: float) -> None: + if process_map[e] is not None and callable(process_map[t]): + process_map[t](*args) + + def func_24(e: float, t: float, n: float) -> None: + tv = process_map[t] + nv = process_map[n] + if isinstance(tv, str) and isinstance(nv, str): + process_map[e] = f"{tv}.{nv}" + + process_map.update({ + 1: func_1, + 2: func_2, + 3: func_3, + 5: func_5, + 6: func_6, + 7: func_7, + 8: func_8, + 9: token_list, 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"https://magicui.design/r/{name}" + } +} diff --git a/web/eslint.config.mjs b/web/eslint.config.mjs new file mode 100644 index 0000000000000000000000000000000000000000..f9cc07d758e19e887a1b6ee3e3c559bd156864ef --- /dev/null +++ b/web/eslint.config.mjs @@ -0,0 +1,17 @@ +import nextCoreWebVitals from 'eslint-config-next/core-web-vitals'; +import nextTypescript from 'eslint-config-next/typescript'; +import prettier from 'eslint-config-prettier/flat'; + +const eslintConfig = [ + ...nextCoreWebVitals, + ...nextTypescript, + prettier, + { + rules: { + '@typescript-eslint/no-unused-vars': 'off', // 不检查未使用的变量 + '@typescript-eslint/no-explicit-any': 'off', // 关闭 any 报错 + }, + }, +]; + +export default eslintConfig; diff --git a/web/next.config.ts b/web/next.config.ts new file mode 100644 index 0000000000000000000000000000000000000000..99e63ef118a75bc558b4023919766c36b32611f7 --- /dev/null +++ b/web/next.config.ts @@ -0,0 +1,40 @@ +import { readFileSync } from 'node:fs' +import { dirname, join } from 'node:path' +import { fileURLToPath } from 'node:url' +import type { NextConfig } from 'next' +import { parseChangelog } from './src/lib/release' + +const projectRoot = join(dirname(fileURLToPath(import.meta.url)), '..') + +function readAppVersion() { + try { + const version = readFileSync(join(projectRoot, 'VERSION'), 'utf-8').trim() + return version || '0.0.0' + } catch { + return '0.0.0' + } +} + +const appVersion = process.env.NEXT_PUBLIC_APP_VERSION || readAppVersion() +let appReleases = '[]' +try { + appReleases = JSON.stringify(parseChangelog(readFileSync(join(projectRoot, 'CHANGELOG.md'), 'utf-8'))) +} catch {} + +const nextConfig: NextConfig = { + allowedDevOrigins: ['127.0.0.1'], + env: { + NEXT_PUBLIC_APP_VERSION: appVersion, + NEXT_PUBLIC_APP_RELEASES: appReleases, + }, + output: 'export', + trailingSlash: true, + images: { + unoptimized: true, + }, + typescript: { + ignoreBuildErrors: true, + }, +} + +export default nextConfig diff --git a/web/package.json b/web/package.json new file mode 100644 index 0000000000000000000000000000000000000000..0624e9ab9a73fa1d1c2d14138e2c4ae97ed47b53 --- /dev/null +++ b/web/package.json @@ -0,0 +1,58 @@ +{ + "name": "next-starter", + "version": "0.1.0", + "private": true, + "type": "module", + "scripts": { + "dev": "next dev --webpack -H 0.0.0.0", + "build": "next build", + "start": "next start" + }, + "dependencies": { + "@radix-ui/react-checkbox": "^1.3.3", + "@radix-ui/react-dialog": "^1.1.15", + "@radix-ui/react-popover": "^1.1.15", + "@radix-ui/react-select": "^2.2.6", + "@radix-ui/react-slot": "^1.2.3", + "axios": "^1.9.0", + "class-variance-authority": "^0.7.1", + "clsx": "^2.1.1", + "date-fns": "^4.1.0", + "immer": "^10.1.3", + "localforage": "^1.10.0", + "lucide-react": "^1.17.0", + "motion": "^12.38.0", + "next": "16.2.3", + "radix-ui": "^1.4.3", + "react": "19.2.5", + "react-day-picker": "^9.14.0", + "react-dom": "19.2.5", + "react-hook-form": "^7.62.0", + "react-markdown": "^10.1.0", + "react-medium-image-zoom": "^5.3.0", + "remark-gfm": "^4.0.1", + "sonner": "^2.0.6", + "tailwind-merge": "^3.3.1", + "zustand": "^5.0.8" + }, + "devDependencies": { + "@eslint/eslintrc": "^3", + "@tailwindcss/postcss": "^4", + "@types/node": "^20", + "@types/react": "19.1.12", + "@types/react-dom": "19.1.9", + "@umijs/openapi": "^1.13.15", + "eslint": "^9", + "eslint-config-next": "16.2.3", + "eslint-config-prettier": "^10.1.8", + "prettier-plugin-organize-imports": "^4.2.0", + "prettier-plugin-tailwindcss": "^0.6.14", + "tailwindcss": "^4", + "tw-animate-css": "^1.3.4", + "typescript": "^5" + }, + "overrides": { + "@types/react": "19.1.12", + "@types/react-dom": "19.1.9" + } +} diff --git a/web/postcss.config.mjs b/web/postcss.config.mjs new file mode 100644 index 0000000000000000000000000000000000000000..e2b63c7953ce053b43e5f00d3a9b15157413915d --- /dev/null +++ b/web/postcss.config.mjs @@ -0,0 +1,5 @@ +const config = { + plugins: ['@tailwindcss/postcss'], +}; + +export default config; diff --git a/web/public/github.svg b/web/public/github.svg new file mode 100644 index 0000000000000000000000000000000000000000..7a51b8e0ee1054826a64377e6b75d8090f93e406 --- /dev/null +++ b/web/public/github.svg @@ -0,0 +1 @@ +<svg fill="currentColor" fill-rule="evenodd" height="1em" style="flex:none;line-height:1" viewBox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><title>Github \ No newline at end of file diff --git a/web/public/next.svg b/web/public/next.svg new file mode 100644 index 0000000000000000000000000000000000000000..5174b28c565c285e3e312ec5178be64fbeca8398 --- /dev/null +++ b/web/public/next.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/web/public/openai.svg b/web/public/openai.svg new file mode 100644 index 0000000000000000000000000000000000000000..78caf4fa20ffb0ae8ebefd74408871c11c1c7fd2 --- /dev/null +++ b/web/public/openai.svg @@ -0,0 +1 @@ +OpenAI \ No newline at end of file diff --git a/web/public/vercel.svg b/web/public/vercel.svg new file mode 100644 index 0000000000000000000000000000000000000000..77053960334e2e34dc584dea8019925c3b4ccca9 --- /dev/null +++ b/web/public/vercel.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/web/src/app/accounts/components/account-import-dialog.tsx b/web/src/app/accounts/components/account-import-dialog.tsx new file mode 100644 index 0000000000000000000000000000000000000000..f0fdc5863e111e476b28b6beedd3ef83154ae98f --- /dev/null +++ b/web/src/app/accounts/components/account-import-dialog.tsx @@ -0,0 +1,899 @@ +"use client"; + +import { useRouter } from "next/navigation"; +import { useRef, useState, type ChangeEvent } from "react"; +import { + ArrowLeft, + Copy, + ExternalLink, + FileJson, + FileText, + Files, + KeyRound, + LoaderCircle, + LogIn, + ServerCog, + Upload, +} from "lucide-react"; +import { toast } from "sonner"; + +import { Button } from "@/components/ui/button"; +import { Card, CardContent } from "@/components/ui/card"; +import { + Dialog, + DialogContent, + DialogDescription, + DialogFooter, + DialogHeader, + DialogTitle, +} from "@/components/ui/dialog"; +import { Textarea } from "@/components/ui/textarea"; +import { + createAccounts, + finishOAuthLogin, + startOAuthLogin, + type Account, + type AccountImportPayload, + type OAuthLoginStartResponse, +} from "@/lib/api"; +import { cn } from "@/lib/utils"; + +type ImportMethod = "menu" | "token" | "session" | "codex-auth" | "cpa" | "oauth"; + +type AccountImportDialogProps = { + disabled?: boolean; + onImported: (items: Account[]) => void; +}; + +type PendingCpaImport = { + tokens: string[]; + accounts: AccountImportPayload[]; + parsedFileCount: number; + errorCount: number; +}; + +const sessionUrl = "https://chatgpt.com/api/auth/session"; + +function splitTokens(value: string) { + return value + .split(/\r?\n/) + .map((item) => item.trim()) + .filter(Boolean); +} + +function getSessionAccessToken(value: unknown) { + const token = (value as { accessToken?: unknown })?.accessToken; + return typeof token === "string" ? token.trim() : ""; +} + +function getCpaAccount(value: unknown): AccountImportPayload | null { + if (!value || typeof value !== "object" || Array.isArray(value)) { + return null; + } + const raw = value as Record; + const tokenValue = raw.access_token ?? raw.accessToken; + const token = typeof tokenValue === "string" ? tokenValue.trim() : ""; + if (!token) { + return null; + } + + const payload: AccountImportPayload = { + ...raw, + access_token: token, + source_type: "codex", + }; + delete payload.accessToken; + if (payload.type === "codex") { + payload.export_type = "codex"; + delete payload.type; + } + return payload; +} + +function getCodexAuthAccount(value: unknown): AccountImportPayload | null { + if (!value || typeof value !== "object" || Array.isArray(value)) { + return null; + } + const raw = value as Record; + const tokenValue = raw.access_token ?? raw.accessToken; + const token = typeof tokenValue === "string" ? tokenValue.trim() : ""; + if (!token) { + return null; + } + + const payload: AccountImportPayload = { + ...raw, + access_token: token, + export_type: "codex", + source_type: "codex", + }; + delete payload.accessToken; + if (payload.type === "codex") { + delete payload.type; + } + return payload; +} + +function readFileAsText(file: File) { + return new Promise((resolve, reject) => { + const reader = new FileReader(); + reader.onload = () => resolve(typeof reader.result === "string" ? reader.result : ""); + reader.onerror = () => reject(reader.error ?? new Error(`读取文件失败: ${file.name}`)); + reader.readAsText(file); + }); +} + +function MethodCard({ + title, + description, + icon: Icon, + onClick, +}: { + title: string; + description: string; + icon: typeof KeyRound; + onClick: () => void; +}) { + return ( + + ); +} + +export function AccountImportDialog({ disabled, onImported }: AccountImportDialogProps) { + const router = useRouter(); + const [open, setOpen] = useState(false); + const [method, setMethod] = useState("menu"); + const [tokenInput, setTokenInput] = useState(""); + const [sessionInput, setSessionInput] = useState(""); + const [codexAuthInput, setCodexAuthInput] = useState(""); + const [isSubmitting, setIsSubmitting] = useState(false); + const [pendingCpaImport, setPendingCpaImport] = useState(null); + const [confirmOpen, setConfirmOpen] = useState(false); + const [oauthEmailHint, setOauthEmailHint] = useState(""); + const [oauthSession, setOauthSession] = useState(null); + const [oauthCallbackInput, setOauthCallbackInput] = useState(""); + const [oauthStarting, setOauthStarting] = useState(false); + + const txtInputRef = useRef(null); + const cpaInputRef = useRef(null); + + const resetState = () => { + setMethod("menu"); + setTokenInput(""); + setSessionInput(""); + setCodexAuthInput(""); + setPendingCpaImport(null); + setConfirmOpen(false); + setOauthEmailHint(""); + setOauthSession(null); + setOauthCallbackInput(""); + setOauthStarting(false); + }; + + const handleOpenChange = (nextOpen: boolean) => { + setOpen(nextOpen); + if (!nextOpen) { + resetState(); + } + }; + + const submitTokens = async (tokens: string[], successText?: string, accountPayloads: AccountImportPayload[] = []) => { + const normalizedTokens = tokens.map((item) => item.trim()).filter(Boolean); + + if (normalizedTokens.length === 0) { + toast.error("请先提供至少一个可用 Token"); + return; + } + + setIsSubmitting(true); + try { + const data = await createAccounts(normalizedTokens, accountPayloads); + onImported(data.items); + setOpen(false); + resetState(); + + if ((data.errors?.length ?? 0) > 0) { + const firstError = data.errors?.[0]?.error; + toast.error( + `${successText ?? "导入完成"}，新增 ${data.added ?? 0} 个，已刷新 ${data.refreshed ?? 0} 个，失败 ${data.errors?.length ?? 0} 个${firstError ? `，首个错误：${firstError}` : ""}`, + ); + } else { + toast.success( + `${successText ?? "导入完成"}，新增 ${data.added ?? 0} 个，跳过 ${data.skipped ?? 0} 个重复项，已自动刷新账号信息`, + ); + } + } catch (error) { + const message = error instanceof Error ? error.message : "导入账户失败"; + toast.error(message); + } finally { + setIsSubmitting(false); + } + }; + + const handleImportTokenText = async () => { + await submitTokens(splitTokens(tokenInput), "Access Token 导入完成"); + }; + + // 起授权：拿 authorize URL，立刻在新窗口打开，方便用户登录 + const handleStartOAuth = async () => { + setOauthStarting(true); + try { + const data = await startOAuthLogin(oauthEmailHint.trim()); + setOauthSession(data); + setOauthCallbackInput(""); + if (typeof window !== "undefined") { + window.open(data.authorize_url, "_blank", "noopener,noreferrer"); + } + toast.success("已打开 OpenAI 授权页面，请在登录后复制 callback URL 回来"); + } catch (error) { + const message = error instanceof Error ? error.message : "OAuth 起始失败"; + toast.error(message); + } finally { + setOauthStarting(false); + } + }; + + // 用粘贴回来的 callback URL 完成换 token + 落盘 + const handleFinishOAuth = async () => { + if (!oauthSession) { + toast.error("请先点击\"打开授权页面\"获取 session"); + return; + } + const trimmed = oauthCallbackInput.trim(); + if (!trimmed) { + toast.error("请粘贴 callback URL 或 code"); + return; + } + + setIsSubmitting(true); + try { + const data = await finishOAuthLogin(oauthSession.session_id, trimmed); + onImported(data.items); + setOpen(false); + resetState(); + + if ((data.errors?.length ?? 0) > 0) { + const firstError = data.errors?.[0]?.error; + toast.error( + `OAuth 登录完成，新增 ${data.added ?? 0} 个，已刷新 ${data.refreshed ?? 0} 个，失败 ${data.errors?.length ?? 0} 个${firstError ? `，首个错误：${firstError}` : ""}`, + ); + } else { + toast.success( + `OAuth 登录完成，新增 ${data.added ?? 0} 个，跳过 ${data.skipped ?? 0} 个重复项，已自动刷新账号信息`, + ); + } + } catch (error) { + const message = error instanceof Error ? error.message : "OAuth 换 token 失败"; + toast.error(message); + } finally { + setIsSubmitting(false); + } + }; + + // 复制 authorize URL 到剪贴板（适配浏览器和 fallback） + const handleCopyAuthorizeUrl = async () => { + if (!oauthSession) { + return; + } + try { + if (navigator.clipboard?.writeText) { + await navigator.clipboard.writeText(oauthSession.authorize_url); + toast.success("授权 URL 已复制到剪贴板"); + } else { + toast.error("当前环境不支持自动复制，请手动选择并复制"); + } + } catch { + toast.error("复制失败，请手动选择并复制"); + } + }; + + const handleTxtSelected = async (event: ChangeEvent) => { + const file = event.target.files?.[0]; + event.target.value = ""; + + if (!file) { + return; + } + + try { + const content = await readFileAsText(file); + const tokens = splitTokens(content); + + if (tokens.length === 0) { + toast.error("TXT 文件里没有读取到有效 Token"); + return; + } + + setTokenInput((prev) => { + const next = [...splitTokens(prev), ...tokens]; + return next.join("\n"); + }); + toast.success(`已从 ${file.name} 读取 ${tokens.length} 个 Token`); + } catch (error) { + const message = error instanceof Error ? error.message : "读取 TXT 文件失败"; + toast.error(message); + } + }; + + const handleImportSessionJson = async () => { + if (!sessionInput.trim()) { + toast.error("请先粘贴完整 Session JSON"); + return; + } + + try { + const payload = JSON.parse(sessionInput) as unknown; + const token = getSessionAccessToken(payload); + + if (!token) { + toast.error("未从 Session JSON 中提取到 accessToken"); + return; + } + + await submitTokens([token], "Session JSON 导入完成"); + } catch (error) { + const message = error instanceof Error ? error.message : "Session JSON 解析失败"; + toast.error(message); + } + }; + + const handleImportCodexAuthJson = async () => { + if (!codexAuthInput.trim()) { + toast.error("请先粘贴 Codex 认证 JSON"); + return; + } + + try { + const payload = JSON.parse(codexAuthInput) as unknown; + const account = getCodexAuthAccount(payload); + + if (!account) { + toast.error("未从 Codex 认证 JSON 中提取到 access_token"); + return; + } + + await submitTokens([account.access_token], "Codex 认证 JSON 导入完成", [account]); + } catch (error) { + const message = error instanceof Error ? error.message : "Codex 认证 JSON 解析失败"; + toast.error(message); + } + }; + + const handleCpaSelected = async (event: ChangeEvent) => { + const files = Array.from(event.target.files ?? []); + event.target.value = ""; + + if (files.length === 0) { + return; + } + + try { + const results = await Promise.all( + files.map(async (file) => { + const raw = await readFileAsText(file); + const parsed = JSON.parse(raw) as unknown; + const account = getCpaAccount(parsed); + return { + account, + }; + }), + ); + + const accounts = results.map((item) => item.account).filter((item): item is AccountImportPayload => Boolean(item)); + const tokens = accounts.map((item) => item.access_token); + const parsedFileCount = accounts.length; + const errorCount = results.length - parsedFileCount; + + if (parsedFileCount === 0) { + toast.error("这些 CPA JSON 文件里没有读取到可用 access_token"); + return; + } + + setPendingCpaImport({ + tokens, + accounts, + parsedFileCount, + errorCount, + }); + setConfirmOpen(true); + } catch (error) { + const message = error instanceof Error ? error.message : "读取 CPA JSON 文件失败"; + toast.error(message); + } + }; + + const renderMethodBody = () => { + if (method === "token") { + const tokenCount = splitTokens(tokenInput).length; + + return ( +
+
+ + 当前识别 {tokenCount} 个 Token +
+
+ +