bootstrap.py

import os
import re
import importlib
from pathlib import Path

import httpx
import uvicorn

from fastapi import HTTPException
from pydantic import BaseModel
from typing import Literal, Optional, List
import filetype
from starlette.staticfiles import StaticFiles

# Import order matters. We rely on config.toml written by space_boot.sh
from meme_generator.config import meme_config
import meme_generator.utils as _utils
from meme_generator import load_meme, load_memes
from meme_generator.app import app, register_routers
from meme_generator.manager import get_meme, get_memes
from meme_generator.exception import NoSuchMeme, MemeFeedback
from meme_generator.utils import MemeProperties, render_meme_list

cfg_home = os.environ.get('XDG_CONFIG_HOME')
cfg_dir = (cfg_home + '/meme_generator') if cfg_home else '<unset>'
print(f"[bootstrap] XDG_CONFIG_HOME={cfg_home} CONFIG_DIR={cfg_dir}", flush=True)
tc = getattr(meme_config, 'translate', None)
env_provider = os.getenv('TRANSLATOR_PROVIDER', '').strip().lower()
env_base_url = os.getenv('OPENAI_BASE_URL', '').strip()
env_api_key = os.getenv('OPENAI_API_KEY', '').strip()
env_model = os.getenv('OPENAI_MODEL', '').strip()
if tc:
    print(
        (
            f"[bootstrap] meme_config.translate provider={getattr(tc,'provider',None)} base_url={getattr(tc,'openai_base_url',None)} "
            f"model={getattr(tc,'openai_model',None)} api_key_present={bool(getattr(tc,'openai_api_key',None))}\n"
            f"[bootstrap] env override provider={env_provider or '<empty>'} base_url={env_base_url or '<empty>'} "
            f"model={env_model or '<empty>'} api_key_present={bool(env_api_key)}"
        ),
        flush=True,
    )
else:
    print(
        f"[bootstrap] meme_config.translate missing; env provider={env_provider or '<empty>'} base_url={env_base_url or '<empty>'} model={env_model or '<empty>'} api_key_present={bool(env_api_key)}",
        flush=True,
    )

_orig_translate = _utils.translate

def _openai_translate(text: str, lang_from: str = "auto", lang_to: str = "zh") -> str:
    tc = getattr(meme_config, "translate", None)
    # Prefer env, then config; support upstream without openai fields
    provider = (os.getenv("TRANSLATOR_PROVIDER", "") or getattr(tc, "provider", "")).strip().lower()
    base_url = (os.getenv("OPENAI_BASE_URL", "") or getattr(tc, "openai_base_url", "")).strip()
    api_key = (os.getenv("OPENAI_API_KEY", "") or getattr(tc, "openai_api_key", "")).strip()
    model = (os.getenv("OPENAI_MODEL", "") or getattr(tc, "openai_model", "")).strip()

    use_openai = provider == "openai" or (not provider and bool(api_key))
    if not use_openai:
        print(f"[translate] fallback to original provider (provider={provider})", flush=True)
        return _orig_translate(text, lang_from, lang_to)

    if not base_url or not api_key or not model:
        raise MemeFeedback("OpenAI 翻译未配置完整：请设置 openai_base_url / openai_api_key / openai_model")

    lang_map = {
        "zh": "Chinese",
        "zh-cn": "Chinese",
        "zh-hans": "Chinese",
        "en": "English",
        "jp": "Japanese",
        "ja": "Japanese",
        "ko": "Korean",
        "fr": "French",
        "de": "German",
        "ru": "Russian",
        "es": "Spanish",
    }
    target_lang = lang_map.get((lang_to or "").lower(), lang_to)

    url = base_url.rstrip("/") + "/chat/completions"
    headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
    # Build a stronger instruction, especially for Japanese output
    extra_rules = ""
    if target_lang.lower().startswith("japan"):
        extra_rules = (
            " Use natural Japanese. Prefer including hiragana/katakana (kana) where appropriate; "
            "do not just output Chinese hanzi. If the input is Chinese, do not return the same text."
        )

    system_prompt = (
        "You are a professional translation engine." 
        f" Translate the user text to {target_lang}."
        " Only output the translated text without any extra words, quotes, or explanations."
        " Preserve numbers, emoji, and links." + extra_rules
    )

    payload = {
        "model": model,
        "temperature": 0,
        "messages": [
            {"role": "system", "content": system_prompt},
            {"role": "user", "content": text},
        ],
    }
    try:
        print(
            f"[translate/openai] request target={target_lang} model={model} base_url={base_url} text_len={len(text)}",
            flush=True,
        )
        r = httpx.post(url, headers=headers, json=payload, timeout=60)
        print(f"[translate/openai] response status={r.status_code}", flush=True)
        r.raise_for_status()
        data = r.json()
        choices = data.get("choices") or []
        content = choices[0].get("message", {}).get("content") if choices else None
        if not content:
            raise MemeFeedback("OpenAI 翻译失败：空结果")
        result = str(content).strip()
        # If target is Japanese but no kana detected, attempt a single retry with stricter rule
        def has_kana(s: str) -> bool:
            return bool(re.search(r"[\u3040-\u30FF]", s))

        if target_lang.lower().startswith("japan") and not has_kana(result):
            print("[translate/openai] no kana detected, retrying with stricter Japanese rule", flush=True)
            strict_prompt = (
                system_prompt
                + " Ensure the output contains kana (hiragana or katakana) and is not identical to the input."
            )
            payload_retry = {
                "model": model,
                "temperature": 0,
                "messages": [
                    {"role": "system", "content": strict_prompt},
                    {"role": "user", "content": text},
                ],
            }
            r2 = httpx.post(url, headers=headers, json=payload_retry, timeout=60)
            print(f"[translate/openai] retry response status={r2.status_code}", flush=True)
            r2.raise_for_status()
            data2 = r2.json()
            choices2 = data2.get("choices") or []
            result2 = (choices2[0].get("message", {}).get("content") or "").strip() if choices2 else ""
            if result2:
                print(f"[translate/openai] retry success result_len={len(result2)}", flush=True)
                return result2
        print(f"[translate/openai] success result_len={len(result)}", flush=True)
        return result
    except Exception as e:
        raise MemeFeedback(f"OpenAI 翻译失败: {e}")

# Monkey-patch before loading any memes
_utils.translate = _openai_translate
print("[bootstrap] translate() monkey-patched for OpenAI provider", flush=True)

# Load builtin memes from source tree if available (ensures assets are present);
# otherwise fall back to the installed site-packages copy.
src_memes_dir = Path("/app/meme-generator/meme_generator/memes")
if src_memes_dir.exists():
    print(f"[bootstrap] Loading builtin memes from source: {src_memes_dir}", flush=True)
    load_memes(str(src_memes_dir))
else:
    pkg_dir = Path(importlib.import_module('meme_generator').__file__).parent
    memes_dir = pkg_dir / 'memes'
    print(f"[bootstrap] Loading builtin memes from package: {memes_dir}", flush=True)
    if memes_dir.exists():
        for path in memes_dir.iterdir():
            if path.is_dir():
                load_meme(f"meme_generator.memes.{path.name}")

# Optional override for /memes/render_list (fresh data each time)
class MemeKeyWithProperties(BaseModel):
    meme_key: str
    disabled: bool = False
    labels: List[Literal["new", "hot"]] = []

class RenderMemeListRequest(BaseModel):
    meme_list: Optional[List[MemeKeyWithProperties]] = None
    text_template: str = "{keywords}"
    add_category_icon: bool = True

@app.post("/memes/render_list")
def render_list(params: RenderMemeListRequest = RenderMemeListRequest()):
    try:
        if params.meme_list:
            meme_list = [
                (
                    get_meme(p.meme_key),
                    MemeProperties(disabled=p.disabled, labels=p.labels),
                )
                for p in params.meme_list
            ]
        else:
            meme_list = [
                (m, MemeProperties()) for m in sorted(get_memes(), key=lambda m: m.key)
            ]
    except NoSuchMeme as e:
        raise HTTPException(status_code=e.status_code, detail=e.message)

    result = render_meme_list(
        meme_list,
        text_template=params.text_template,
        add_category_icon=params.add_category_icon,
    )
    content = result.getvalue()
    media_type = str(filetype.guess_mime(content)) or "text/plain"
    from fastapi import Response
    return Response(content=content, media_type=media_type)

# Dynamic infos.json and keyMap.json derived from loaded memes (not aggregated assets)
from collections import OrderedDict
from meme_generator.app import MemeInfoResponse, MemeParamsResponse

def build_infos_and_keymap():
    infos = {}
    pairs = []  # (keyword, meme_key)
    for meme in sorted(get_memes(), key=lambda m: m.key):
        args_type_response = None
        if meme.params_type.args_type:
            args_model = meme.params_type.args_type.args_model
            args_type_response = {
                "args_model": args_model.model_json_schema() if hasattr(args_model, "model_json_schema") else {},
                "args_examples": [
                    getattr(x, "model_dump", lambda: x)() if hasattr(x, "model_dump") else x
                    for x in meme.params_type.args_type.args_examples
                ],
                "parser_options": meme.params_type.args_type.parser_options,
            }
        infos[meme.key] = {
            "key": meme.key,
            "params_type": {
                "min_images": meme.params_type.min_images,
                "max_images": meme.params_type.max_images,
                "min_texts": meme.params_type.min_texts,
                "max_texts": meme.params_type.max_texts,
                "default_texts": meme.params_type.default_texts,
                "args_type": args_type_response,
            },
            "keywords": meme.keywords,
            "shortcuts": meme.shortcuts,
            "tags": list(meme.tags),
            "date_created": meme.date_created,
            "date_modified": meme.date_modified,
        }
        for kw in meme.keywords:
            pairs.append((kw, meme.key))

    keymap = OrderedDict()
    for kw, key in sorted(pairs, key=lambda x: len(x[0]), reverse=True):
        if kw not in keymap:
            keymap[kw] = key
    return infos, keymap

@app.get("/memes/static/infos.json")
def infos_json():
    infos, _ = build_infos_and_keymap()
    return infos

@app.get("/memes/static/keyMap.json")
def keymap_json():
    _, keymap = build_infos_and_keymap()
    return keymap

# Load contrib + emoji
load_memes("/app/meme-generator-contrib/memes")
load_memes("/app/meme_emoji/emoji")
# Optionally load NSFW pack if present in the base image
nsfw_dir = Path("/app/meme_emoji_nsfw/emoji")
if nsfw_dir.exists():
    load_memes(str(nsfw_dir))
    print("[bootstrap] Loaded NSFW meme pack", flush=True)
else:
    print("[bootstrap] NSFW meme pack not found; skipping", flush=True)
jj_dir = Path("/app/meme-generator-jj/memes")
if jj_dir.exists():
    load_memes(str(jj_dir))
    print("[bootstrap] Loaded JJ meme pack", flush=True)
else:
    print("[bootstrap] JJ meme pack not found; skipping", flush=True)

# Load tudou-meme pack if present
tudou_dir = Path("/app/tudou-meme/meme")
if tudou_dir.exists():
    load_memes(str(tudou_dir))
    print("[bootstrap] Loaded tudou meme pack", flush=True)
else:
    print("[bootstrap] tudou meme pack not found; skipping", flush=True)

register_routers()

# Static mount for aggregated data if present
data_dir = os.environ.get("MEME_DATA_DIR", "/app/data")
app.mount("/memes/static", StaticFiles(directory=data_dir), name="static")

port = int(os.environ.get("PORT", "7860"))
print(f"[bootstrap] Starting uvicorn on 0.0.0.0:{port}", flush=True)
uvicorn.run(app, host="0.0.0.0", port=port)