chore: remove accidentally committed temporary files

Remove from git tracking (files remain in working directory):
- Logs: app_logs.txt
- Utility scripts: delete_*.py, extract_*.py, package_*.py
- Generated docs: seedream_codebase_*.txt
- Request tracking: request_ids.txt, request_ids_context.json
- Results: delete_results_*.json, failed_request_ids_*.txt
- USER_ACTION_REQUIRED.md

Update .gitignore to prevent future commits of:
- Test scripts (test_*.py)
- Temporary utility scripts
- Generated documentation
- Log files and results

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

.gitignore

@@ -59,5 +59,23 @@ api_keys.json
 test_*.py
 *_test.py
 
-# Documentation source
-faldoc.txt
+# Temporary/utility scripts
+delete_*.py
+extract_*.py
+package_*.py
+
+# Logs and results
+app_logs.txt
+*_results_*.json
+failed_request_ids_*.txt
+
+# Generated documentation
+faldoc.txt
+*_codebase_*.txt
+
+# Request tracking
+request_ids.txt
+request_ids*.json
+
+# User action files
+USER_ACTION_REQUIRED.md

USER_ACTION_REQUIRED.md

@@ -1,43 +0,0 @@
-# 用户操作指南 - 下载 Hugging Face Spaces 日志
-
-## 当前状态
-
-✅ 代码已部署到 Hugging Face Spaces
-✅ 应用现在会记录所有 request_id
-⏸️ 等待你下载日志文件
-
-## 你需要做的唯一一件事
-
-### 步骤：从 Hugging Face Spaces 下载日志
-
-1. **访问你的 Space**
-   https://huggingface.co/spaces/wapadil/seedream4
-
-2. **点击 "Logs" 标签页**
-   在页面顶部找到 "Logs" 标签
-
-3. **复制所有日志内容**
-   - 使用浏览器的 Ctrl+A 全选
-   - Ctrl+C 复制
-
-4. **保存到本地文件**
-   - 创建新文件：`C:\Users\wapadil\Downloads\fal\app_logs.txt`
-   - 粘贴日志内容
-   - 保存
-
-## 完成后
-
-把 `app_logs.txt` 文件放在当前目录，然后告诉我 **"日志已准备好"**，我会立即：
-1. 提取所有 request_id
-2. 执行批量删除操作
-3. 提供完整的删除报告
-
-## 注意事项
-
-- **日志内容可能很长**：这是正常的，包含了所有历史请求
-- **如果日志太旧**：应用刚部署，可能需要等待几分钟让新日志生成（或者先生成几张图测试）
-- **隐私安全**：日志内容不会被上传，所有处理都在本地进行
-
----
-
-**下载日志后，直接告诉我 "日志已准备好"，剩下的交给我。**

delete_io_only.py

@@ -1,228 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-FAL Delete IO - 只执行删除操作
-输入 request_id 列表，批量删除输出文件
-"""
-
-import requests
-import json
-import time
-import sys
-from pathlib import Path
-from datetime import datetime
-
-# Windows UTF-8 支持
-if sys.platform == "win32":
-    import io
-    sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
-
-
-def load_request_ids(file_path):
-    """从文件加载 request_id 列表"""
-    request_ids = []
-
-    with open(file_path, 'r', encoding='utf-8') as f:
-        for line in f:
-            rid = line.strip()
-            if rid and not rid.startswith('#'):  # 忽略空行和注释
-                request_ids.append(rid)
-
-    return request_ids
-
-
-def delete_io_files(request_ids, api_key, batch_size=10, delay=0.5):
-    """
-    批量删除 request_id 的输出文件
-
-    参数:
-        request_ids: request_id 列表
-        api_key: FAL API key (需要 ADMIN scope)
-        batch_size: 每批次删除多少个
-        delay: 批次之间的延迟(秒)
-    """
-    headers = {
-        "Authorization": f"Key {api_key}",
-        "Content-Type": "application/json"
-    }
-
-    results = {
-        'success': [],
-        'failed': [],
-        'errors': []
-    }
-
-    total = len(request_ids)
-    print(f"\n开始删除 {total} 个请求的输出文件\n")
-
-    for i, rid in enumerate(request_ids, 1):
-        print(f"[{i}/{total}] {rid}... ", end="", flush=True)
-
-        # 重试逻辑
-        success = False
-        error_msg = None
-
-        for attempt in range(3):
-            try:
-                resp = requests.put(
-                    f"https://rest.alpha.fal.ai/requests/delete_io/{rid}",
-                    headers=headers,
-                    timeout=10
-                )
-
-                if resp.ok:
-                    result_data = resp.json()
-                    results['success'].append({
-                        'request_id': rid,
-                        'data': result_data
-                    })
-                    print("✓")
-                    success = True
-                    break
-
-                else:
-                    error_msg = f"HTTP {resp.status_code}: {resp.text[:100]}"
-                    if attempt < 2:
-                        time.sleep(1)
-
-            except Exception as e:
-                error_msg = str(e)
-                if attempt < 2:
-                    time.sleep(1)
-
-        if not success:
-            results['failed'].append(rid)
-            results['errors'].append({
-                'request_id': rid,
-                'error': error_msg
-            })
-            print(f"❌ {error_msg}")
-
-        # 批次延迟，避免请求过快
-        if i % batch_size == 0 and i < total:
-            print(f"\n--- 已完成 {i}/{total}，休息 {delay}s ---\n")
-            time.sleep(delay)
-
-    return results
-
-
-def save_results(results, output_dir="."):
-    """保存删除结果"""
-    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
-    output_dir = Path(output_dir)
-    output_dir.mkdir(exist_ok=True)
-
-    # 保存完整结果
-    result_file = output_dir / f"delete_results_{timestamp}.json"
-    with open(result_file, 'w', encoding='utf-8') as f:
-        json.dump(results, f, ensure_ascii=False, indent=2)
-
-    # 保存失败的 request_id（用于重试）
-    if results['failed']:
-        failed_file = output_dir / f"failed_request_ids_{timestamp}.txt"
-        with open(failed_file, 'w') as f:
-            f.write('\n'.join(results['failed']))
-        print(f"\n✓ 失败的 request_id 已保存到: {failed_file}")
-
-    print(f"✓ 完整结果已保存到: {result_file}")
-
-
-def main():
-    print("=" * 70)
-    print("FAL Delete IO - 批量删除输出文件")
-    print("=" * 70)
-    print()
-
-    # 获取参数
-    if len(sys.argv) < 2:
-        print("用法: python delete_io_only.py <request_ids_file> [api_key]")
-        print()
-        print("参数:")
-        print("  request_ids_file  - 包含 request_id 列表的文件 (每行一个)")
-        print("  api_key           - FAL API key (需要 ADMIN scope)")
-        print()
-        print("示例:")
-        print("  python delete_io_only.py request_ids.txt your-admin-api-key")
-        print()
-        return
-
-    request_ids_file = sys.argv[1]
-    api_key = sys.argv[2] if len(sys.argv) > 2 else None
-
-    # 检查文件
-    if not Path(request_ids_file).exists():
-        print(f"❌ 文件不存在: {request_ids_file}")
-        return
-
-    # 获取 API key
-    if not api_key:
-        api_key = input("请输入 FAL API key (需要 ADMIN scope): ").strip()
-
-    if not api_key:
-        print("❌ API key 不能为空")
-        return
-
-    # 加载 request_id
-    print(f"正在加载 request_id 从: {request_ids_file}")
-    request_ids = load_request_ids(request_ids_file)
-
-    if not request_ids:
-        print("❌ 文件中没有有效的 request_id")
-        return
-
-    print(f"✓ 加��了 {len(request_ids)} 个 request_id")
-
-    # 显示前5个
-    print("\n前5个 request_id:")
-    for i, rid in enumerate(request_ids[:5], 1):
-        print(f"  {i}. {rid}")
-    if len(request_ids) > 5:
-        print(f"  ... (共 {len(request_ids)} 个)")
-
-    # 确认
-    print("\n" + "=" * 70)
-    print(f"⚠️  即将删除 {len(request_ids)} 个请求的输出文件")
-    print("⚠️  此操作不可逆！")
-    print("=" * 70)
-    confirm = input("\n确认继续？(输入 'YES' 继续): ")
-
-    if confirm != 'YES':
-        print("取消操作")
-        return
-
-    # 执行删除
-    print("\n" + "=" * 70)
-    results = delete_io_files(request_ids, api_key)
-
-    # 保存结果
-    print("\n" + "=" * 70)
-    save_results(results)
-
-    # 最终报告
-    success_count = len(results['success'])
-    failed_count = len(results['failed'])
-    total_count = len(request_ids)
-
-    print("\n" + "=" * 70)
-    print("执行完成")
-    print("=" * 70)
-    print(f"✓ 成功删除: {success_count} 个 ({success_count/total_count*100:.1f}%)")
-    print(f"❌ 删除失败: {failed_count} 个 ({failed_count/total_count*100:.1f}%)")
-    print(f"📊 总计: {total_count} 个")
-
-    # 显示失败原因统计
-    if results['errors']:
-        print("\n失败原因统计:")
-        error_types = {}
-        for err in results['errors']:
-            error_msg = err['error'][:50]
-            error_types[error_msg] = error_types.get(error_msg, 0) + 1
-
-        for error_msg, count in sorted(error_types.items(), key=lambda x: x[1], reverse=True):
-            print(f"  - {error_msg}: {count} 个")
-
-    print("=" * 70)
-
-
-if __name__ == "__main__":
-    main()

delete_logs.py

@@ -1,208 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-FAL 日志清理脚本
-拉取30天内的 seedream 日志并删除对应的输出文件
-"""
-
-import requests
-import json
-import time
-import re
-import sys
-from datetime import datetime
-
-# 设置 stdout 编码为 UTF-8
-if sys.platform == "win32":
-    import io
-    sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
-
-# API Key
-FAL_KEY = "09327e88-d06d-4290-afc1-1dc24e318d8a:b50fb7bd810d387bfaa59483c573dbf4"
-
-# 时间范围 (UTC)
-SINCE = "2025-08-31T00:00:00Z"
-UNTIL = "2025-09-30T23:59:59Z"
-
-def fetch_logs():
-    """拉取30天内的 seedream 日志"""
-    print(f"[1/3] 正在拉取日志: {SINCE} -> {UNTIL}")
-
-    params = {
-        "since": SINCE,
-        "until": UNTIL,
-        "limit": "1000",
-        "search": "seedream"
-    }
-
-    body = {
-        "extra_filters": [
-            {"key": "source", "value": "gateway"}
-        ]
-    }
-
-    headers = {
-        "Authorization": f"Key {FAL_KEY}",
-        "Content-Type": "application/json"
-    }
-
-    try:
-        resp = requests.post(
-            "https://rest.alpha.fal.ai/logs/",
-            params=params,
-            json=body,
-            headers=headers,
-            timeout=30
-        )
-        resp.raise_for_status()
-        logs = resp.json()
-
-        print(f"✓ 拉取到 {len(logs)} 条日志")
-
-        # 保存日志到文件
-        with open("logs.json", "w", encoding="utf-8") as f:
-            json.dump(logs, f, ensure_ascii=False, indent=2)
-        print(f"✓ 日志已保存到 logs.json")
-
-        return logs
-
-    except requests.exceptions.HTTPError as e:
-        print(f"❌ HTTP错误: {e}")
-        print(f"响应内容: {e.response.text if hasattr(e, 'response') else 'N/A'}")
-        print(f"\n提示: Logs API 可能需要 ADMIN scope 的 API Key")
-        print(f"当前使用的 API Key: {FAL_KEY[:20]}...")
-        return []
-    except Exception as e:
-        print(f"❌ 拉取日志失败: {e}")
-        return []
-
-def extract_request_ids(logs):
-    """从日志中提取所有 request_id"""
-    print(f"\n[2/3] 正在提取 request_id")
-
-    request_ids = set()
-
-    for entry in logs:
-        # 方法1: 从 labels.request_id 提取
-        if "labels" in entry and "request_id" in entry["labels"]:
-            rid = entry["labels"]["request_id"]
-            if rid:
-                request_ids.add(rid)
-
-        # 方法2: 从 message 中正则提取
-        if "message" in entry:
-            msg = entry["message"]
-            # 匹配形如 request_id: xxx 或 request_id=xxx 的模式
-            matches = re.findall(r'request_id[:=\s]+([A-Za-z0-9\-_]+)', msg)
-            request_ids.update(matches)
-
-            # 匹配 URL 中的 request_id
-            url_matches = re.findall(r'/requests/([A-Za-z0-9\-_]+)', msg)
-            request_ids.update(url_matches)
-
-    # 保存到文件
-    request_ids_list = sorted(request_ids)
-    with open("request_ids.txt", "w") as f:
-        f.write("\n".join(request_ids_list))
-
-    print(f"✓ 提取到 {len(request_ids_list)} 个唯一 request_id")
-    print(f"✓ request_id 已保存到 request_ids.txt")
-
-    return request_ids_list
-
-def delete_io_files(request_ids):
-    """批量删除所有 request_id 的输出文件"""
-    print(f"\n[3/3] 正在删除 {len(request_ids)} 个请求的输出文件")
-
-    headers = {
-        "Authorization": f"Key {FAL_KEY}",
-        "Content-Type": "application/json"
-    }
-
-    success_count = 0
-    fail_count = 0
-    results = []
-
-    for i, rid in enumerate(request_ids, 1):
-        print(f"[{i}/{len(request_ids)}] 删除 {rid}...", end=" ")
-
-        for attempt in range(3):
-            try:
-                resp = requests.put(
-                    f"https://rest.alpha.fal.ai/requests/delete_io/{rid}",
-                    headers=headers,
-                    timeout=10
-                )
-
-                if resp.ok:
-                    result = resp.json()
-                    results.append({"request_id": rid, "status": "success", "data": result})
-                    print("✓")
-                    success_count += 1
-                    break
-                else:
-                    if attempt == 2:  # 最后一次尝试
-                        results.append({"request_id": rid, "status": "failed", "code": resp.status_code, "error": resp.text})
-                        print(f"❌ [{resp.status_code}]")
-                        fail_count += 1
-                    else:
-                        time.sleep(1)  # 重试前等待
-
-            except Exception as e:
-                if attempt == 2:
-                    results.append({"request_id": rid, "status": "error", "error": str(e)})
-                    print(f"❌ {e}")
-                    fail_count += 1
-                else:
-                    time.sleep(1)
-
-        # 避免请求过快
-        if i % 10 == 0:
-            time.sleep(0.5)
-
-    # 保存删除结果
-    with open("delete_results.json", "w", encoding="utf-8") as f:
-        json.dump(results, f, ensure_ascii=False, indent=2)
-
-    print(f"\n✓ 删除结果已保存到 delete_results.json")
-
-    return success_count, fail_count
-
-def main():
-    print("=" * 60)
-    print("FAL 日志清理脚本")
-    print("=" * 60)
-
-    # 步骤1: 拉取日志
-    logs = fetch_logs()
-    if not logs:
-        print("\n❌ 没有拉取到日志，退出")
-        return
-
-    # 步骤2: 提取 request_id
-    request_ids = extract_request_ids(logs)
-    if not request_ids:
-        print("\n❌ 没有提取到 request_id，退出")
-        return
-
-    # 确认删除
-    print(f"\n⚠️  即将删除 {len(request_ids)} 个请求的输出文件")
-    confirm = input("确认继续？(y/N): ")
-    if confirm.lower() != 'y':
-        print("取消操作")
-        return
-
-    # 步骤3: 批量删除
-    success, failed = delete_io_files(request_ids)
-
-    # 最终报告
-    print("\n" + "=" * 60)
-    print("执行完成")
-    print("=" * 60)
-    print(f"✓ 成功删除: {success} 个")
-    print(f"❌ 删除失败: {failed} 个")
-    print(f"📊 总计: {len(request_ids)} 个")
-    print("=" * 60)
-
-if __name__ == "__main__":
-    main()

delete_results_20250930_162053.json

@@ -1,162 +0,0 @@
-{
-  "success": [],
-  "failed": [
-    "1159f5f8-3aee-42d2-8d7b-88eb7563c253",
-    "12bf8e97-de7a-420b-9db4-ce6c31b4cc9d",
-    "146a9508-77a5-47ca-83ac-5a24bd65b977",
-    "1b097199-f2b1-442f-8675-ba60c7143bce",
-    "1f547c18-8086-459b-83d9-9d9fd6fd205f",
-    "21cb18f7-df12-4611-a28e-24311ddd0cc3",
-    "2d05b2e4-5247-4ff7-b230-3c213d887a4b",
-    "3718fbc1-9b75-451a-b54f-be6ca11a4c83",
-    "3b491ce2-ae5c-4057-93b1-032f40abd68f",
-    "3e0892e0-00f4-45ba-aa45-bb057cd309df",
-    "496ff93e-1f07-46dc-a28e-e27574fb9071",
-    "5c13351e-4e26-497c-956c-b6a113feed7c",
-    "6612d36e-e208-4883-ae64-d84ed64d35c5",
-    "678c9c56-3634-4f69-865a-0ad107c1749b",
-    "6c308dff-5dd1-436f-91c1-80699705627c",
-    "6e8c3ee1-b779-4fb2-b3e0-43f4d74f6944",
-    "72214082-67f8-4dc5-b2fc-d2f28b190145",
-    "73076274-cf58-4972-950d-aea4e561fae6",
-    "7892096b-2e84-4ae5-ac77-642ae0db7a5e",
-    "79141a2f-8c45-4ba4-8c8d-9c90bb841bb5",
-    "7c501d58-8208-40f5-9404-75abf1e5fa28",
-    "7c985ffd-28ff-465a-aacd-4acfd9ed9488",
-    "ab52e365-76ac-4d37-8c5c-7813c3a4abdb",
-    "aed651a8-1f6c-459d-9c48-4f668a20676e",
-    "c2e3bd2c-e6bd-4370-b30e-f16e9e062db6",
-    "ce0d8a76-a922-4452-a17b-10851d5bc5ba",
-    "d8fe4289-a26b-4710-9d75-120a010e07ca",
-    "dd9183de-2f65-41b7-8522-5f758c70abf4",
-    "e3940e23-8183-4d02-91bf-294bb70f131a",
-    "f429cdb5-efd5-4f5c-9a3c-076bdf22bf79",
-    "f4a6549e-9b1e-4342-b1fa-024b63ee912b"
-  ],
-  "errors": [
-    {
-      "request_id": "1159f5f8-3aee-42d2-8d7b-88eb7563c253",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "12bf8e97-de7a-420b-9db4-ce6c31b4cc9d",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "146a9508-77a5-47ca-83ac-5a24bd65b977",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "1b097199-f2b1-442f-8675-ba60c7143bce",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "1f547c18-8086-459b-83d9-9d9fd6fd205f",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "21cb18f7-df12-4611-a28e-24311ddd0cc3",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "2d05b2e4-5247-4ff7-b230-3c213d887a4b",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "3718fbc1-9b75-451a-b54f-be6ca11a4c83",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "3b491ce2-ae5c-4057-93b1-032f40abd68f",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "3e0892e0-00f4-45ba-aa45-bb057cd309df",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "496ff93e-1f07-46dc-a28e-e27574fb9071",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "5c13351e-4e26-497c-956c-b6a113feed7c",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "6612d36e-e208-4883-ae64-d84ed64d35c5",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "678c9c56-3634-4f69-865a-0ad107c1749b",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "6c308dff-5dd1-436f-91c1-80699705627c",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "6e8c3ee1-b779-4fb2-b3e0-43f4d74f6944",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "72214082-67f8-4dc5-b2fc-d2f28b190145",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "73076274-cf58-4972-950d-aea4e561fae6",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "7892096b-2e84-4ae5-ac77-642ae0db7a5e",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "79141a2f-8c45-4ba4-8c8d-9c90bb841bb5",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "7c501d58-8208-40f5-9404-75abf1e5fa28",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "7c985ffd-28ff-465a-aacd-4acfd9ed9488",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "ab52e365-76ac-4d37-8c5c-7813c3a4abdb",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "aed651a8-1f6c-459d-9c48-4f668a20676e",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "c2e3bd2c-e6bd-4370-b30e-f16e9e062db6",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "ce0d8a76-a922-4452-a17b-10851d5bc5ba",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "d8fe4289-a26b-4710-9d75-120a010e07ca",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "dd9183de-2f65-41b7-8522-5f758c70abf4",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "e3940e23-8183-4d02-91bf-294bb70f131a",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "f429cdb5-efd5-4f5c-9a3c-076bdf22bf79",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    },
-    {
-      "request_id": "f4a6549e-9b1e-4342-b1fa-024b63ee912b",
-      "error": "HTTP 403: {\"detail\":\"Unable to use 'key=09327e88-d06d-4290-afc1-1dc24e318d8a' auth: Insufficient permissions: "
-    }
-  ]
-}

extract_request_ids.py

@@ -1,235 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-从应用日志中提取 request_id
-支持多种日志格式和来源
-"""
-
-import re
-import sys
-import json
-from pathlib import Path
-from collections import defaultdict
-from datetime import datetime
-
-# Windows UTF-8 支持
-if sys.platform == "win32":
-    import io
-    sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
-
-
-def extract_from_structured_logs(log_file):
-    """
-    从增强的结构化日志中提取 request_id
-    匹配格式: [REQUEST_ID] xxx | action=generated | model=yyy
-    """
-    pattern = r'\[REQUEST_ID\]\s+([A-Za-z0-9\-_]+)'
-    request_ids = set()
-    matches_with_context = []
-
-    with open(log_file, 'r', encoding='utf-8', errors='ignore') as f:
-        for line_num, line in enumerate(f, 1):
-            match = re.search(pattern, line)
-            if match:
-                rid = match.group(1)
-                request_ids.add(rid)
-
-                # 提取上下文信息
-                model_match = re.search(r'model=([^\s|]+)', line)
-                action_match = re.search(r'action=([^\s|]+)', line)
-                prompt_match = re.search(r'prompt=(.+?)(?:\||$)', line)
-
-                context = {
-                    'request_id': rid,
-                    'line_num': line_num,
-                    'model': model_match.group(1) if model_match else None,
-                    'action': action_match.group(1) if action_match else None,
-                    'prompt': prompt_match.group(1).strip() if prompt_match else None
-                }
-                matches_with_context.append(context)
-
-    return request_ids, matches_with_context
-
-
-def extract_from_generic_logs(log_file):
-    """
-    从通用日志中提取 request_id
-    匹配多种常见格式
-    """
-    patterns = [
-        r'request_id[:=\s]+([A-Za-z0-9\-_]+)',  # request_id: xxx 或 request_id=xxx
-        r'"request_id"\s*:\s*"([A-Za-z0-9\-_]+)"',  # JSON: "request_id": "xxx"
-        r'/requests/([A-Za-z0-9\-_]+)',  # URL: /requests/xxx
-        r'req_id[:=\s]+([A-Za-z0-9\-_]+)',  # req_id: xxx
-    ]
-
-    request_ids = set()
-    matches_with_context = []
-
-    with open(log_file, 'r', encoding='utf-8', errors='ignore') as f:
-        for line_num, line in enumerate(f, 1):
-            for pattern in patterns:
-                for match in re.finditer(pattern, line, re.IGNORECASE):
-                    rid = match.group(1)
-                    # 过滤明显不是 request_id 的字符串
-                    if len(rid) > 10 and '-' in rid:
-                        request_ids.add(rid)
-                        matches_with_context.append({
-                            'request_id': rid,
-                            'line_num': line_num,
-                            'pattern': pattern,
-                            'line_preview': line[:200]
-                        })
-
-    return request_ids, matches_with_context
-
-
-def extract_from_json_logs(log_file):
-    """
-    从 JSON 格式的日志中提取 request_id
-    """
-    request_ids = set()
-    matches_with_context = []
-
-    with open(log_file, 'r', encoding='utf-8', errors='ignore') as f:
-        for line_num, line in enumerate(f, 1):
-            line = line.strip()
-            if not line or not line.startswith('{'):
-                continue
-
-            try:
-                log_entry = json.loads(line)
-
-                # 查找所有可能包含 request_id 的字段
-                rid = None
-                if 'request_id' in log_entry:
-                    rid = log_entry['request_id']
-                elif 'req_id' in log_entry:
-                    rid = log_entry['req_id']
-                elif 'id' in log_entry:
-                    rid = log_entry['id']
-
-                if rid and isinstance(rid, str) and len(rid) > 10:
-                    request_ids.add(rid)
-                    matches_with_context.append({
-                        'request_id': rid,
-                        'line_num': line_num,
-                        'timestamp': log_entry.get('timestamp'),
-                        'level': log_entry.get('level'),
-                        'message': log_entry.get('message', '')[:100]
-                    })
-
-            except json.JSONDecodeError:
-                continue
-
-    return request_ids, matches_with_context
-
-
-def analyze_log_file(log_file):
-    """
-    分析日志文件，自动选择最佳提取方法
-    """
-    print(f"正在分析日志文件: {log_file}")
-    print(f"文件大小: {Path(log_file).stat().st_size / 1024 / 1024:.2f} MB\n")
-
-    # 尝试所有提取方法
-    all_request_ids = set()
-    all_contexts = []
-
-    # 方法1: 结构化日志
-    structured_ids, structured_contexts = extract_from_structured_logs(log_file)
-    if structured_ids:
-        print(f"✓ 从结构化日志提取: {len(structured_ids)} 个 request_id")
-        all_request_ids.update(structured_ids)
-        all_contexts.extend(structured_contexts)
-
-    # 方法2: 通用日志
-    generic_ids, generic_contexts = extract_from_generic_logs(log_file)
-    if generic_ids:
-        print(f"✓ 从通用日志提取: {len(generic_ids)} 个 request_id")
-        all_request_ids.update(generic_ids)
-        all_contexts.extend(generic_contexts)
-
-    # 方法3: JSON 日志
-    json_ids, json_contexts = extract_from_json_logs(log_file)
-    if json_ids:
-        print(f"✓ 从 JSON 日志提取: {len(json_ids)} 个 request_id")
-        all_request_ids.update(json_ids)
-        all_contexts.extend(json_contexts)
-
-    return all_request_ids, all_contexts
-
-
-def main():
-    print("=" * 70)
-    print("Request ID 提取工具")
-    print("=" * 70)
-    print()
-
-    # 获取日志文件路径
-    if len(sys.argv) > 1:
-        log_file = sys.argv[1]
-    else:
-        log_file = input("请输入日志文件路径: ").strip()
-
-    if not Path(log_file).exists():
-        print(f"❌ 文件不存在: {log_file}")
-        return
-
-    # 分析日志文件
-    request_ids, contexts = analyze_log_file(log_file)
-
-    if not request_ids:
-        print("\n❌ 未找到任何 request_id")
-        print("\n提示：")
-        print("1. 确保日志文件包含 FAL API 调用记录")
-        print("2. 检查日志格式是否包含 request_id 字段")
-        print("3. 如果是 Hugging Face Spaces 日志，确保下载了完整日志")
-        return
-
-    # 保存结果
-    request_ids_list = sorted(request_ids)
-
-    # 保存 request_id 列表
-    output_file = "request_ids.txt"
-    with open(output_file, 'w') as f:
-        f.write('\n'.join(request_ids_list))
-    print(f"\n✓ 已保存 {len(request_ids_list)} 个 request_id 到 {output_file}")
-
-    # 保存详细上下文
-    context_file = "request_ids_context.json"
-    with open(context_file, 'w', encoding='utf-8') as f:
-        json.dump(contexts, f, ensure_ascii=False, indent=2)
-    print(f"✓ 已保存详细上下文到 {context_file}")
-
-    # 统计信息
-    print("\n" + "=" * 70)
-    print("统计信息")
-    print("=" * 70)
-    print(f"总计提取: {len(request_ids_list)} 个唯一 request_id")
-
-    # 按模型分组统计（如果有）
-    model_stats = defaultdict(int)
-    for ctx in contexts:
-        if isinstance(ctx, dict) and 'model' in ctx and ctx['model']:
-            model_stats[ctx['model']] += 1
-
-    if model_stats:
-        print("\n按模型分组:")
-        for model, count in sorted(model_stats.items(), key=lambda x: x[1], reverse=True):
-            print(f"  - {model}: {count} 个")
-
-    # 显示前5个 request_id 示例
-    print(f"\n前5个 request_id 示例:")
-    for i, rid in enumerate(request_ids_list[:5], 1):
-        print(f"  {i}. {rid}")
-
-    print("\n" + "=" * 70)
-    print("下一步操作:")
-    print(f"  1. 检查 {output_file} 确认提取的 request_id 是否正确")
-    print(f"  2. 运行删除脚本: python delete_io_only.py {output_file}")
-    print("=" * 70)
-
-
-if __name__ == "__main__":
-    main()

failed_request_ids_20250930_162053.txt

@@ -1,31 +0,0 @@
-1159f5f8-3aee-42d2-8d7b-88eb7563c253
-12bf8e97-de7a-420b-9db4-ce6c31b4cc9d
-146a9508-77a5-47ca-83ac-5a24bd65b977
-1b097199-f2b1-442f-8675-ba60c7143bce
-1f547c18-8086-459b-83d9-9d9fd6fd205f
-21cb18f7-df12-4611-a28e-24311ddd0cc3
-2d05b2e4-5247-4ff7-b230-3c213d887a4b
-3718fbc1-9b75-451a-b54f-be6ca11a4c83
-3b491ce2-ae5c-4057-93b1-032f40abd68f
-3e0892e0-00f4-45ba-aa45-bb057cd309df
-496ff93e-1f07-46dc-a28e-e27574fb9071
-5c13351e-4e26-497c-956c-b6a113feed7c
-6612d36e-e208-4883-ae64-d84ed64d35c5
-678c9c56-3634-4f69-865a-0ad107c1749b
-6c308dff-5dd1-436f-91c1-80699705627c
-6e8c3ee1-b779-4fb2-b3e0-43f4d74f6944
-72214082-67f8-4dc5-b2fc-d2f28b190145
-73076274-cf58-4972-950d-aea4e561fae6
-7892096b-2e84-4ae5-ac77-642ae0db7a5e
-79141a2f-8c45-4ba4-8c8d-9c90bb841bb5
-7c501d58-8208-40f5-9404-75abf1e5fa28
-7c985ffd-28ff-465a-aacd-4acfd9ed9488
-ab52e365-76ac-4d37-8c5c-7813c3a4abdb
-aed651a8-1f6c-459d-9c48-4f668a20676e
-c2e3bd2c-e6bd-4370-b30e-f16e9e062db6
-ce0d8a76-a922-4452-a17b-10851d5bc5ba
-d8fe4289-a26b-4710-9d75-120a010e07ca
-dd9183de-2f65-41b7-8522-5f758c70abf4
-e3940e23-8183-4d02-91bf-294bb70f131a
-f429cdb5-efd5-4f5c-9a3c-076bdf22bf79
-f4a6549e-9b1e-4342-b1fa-024b63ee912b

package_code.py

@@ -1,210 +0,0 @@
-#!/usr/bin/env python3
-"""
-SeedDream v4 项目代码打包脚本
-将所有重要代码文件打包到txt文件中，方便发送给AI专家进行代码审查
-"""
-
-import os
-import datetime
-from pathlib import Path
-
-def get_file_size(filepath):
-    """获取文件大小（字节）"""
-    try:
-        return os.path.getsize(filepath)
-    except:
-        return 0
-
-def is_text_file(filepath):
-    """检查是否为文本文件"""
-    text_extensions = {'.py', '.html', '.css', '.js', '.json', '.md', '.txt', '.yml', '.yaml', '.env'}
-    return filepath.suffix.lower() in text_extensions or filepath.name in ['Dockerfile', 'requirements.txt']
-
-def should_include_file(filepath):
-    """判断是否应该包含该文件"""
-    # 排除的目录和文件
-    exclude_dirs = {'__pycache__', '.git', '.pytest_cache', 'node_modules', '.venv', 'venv'}
-    exclude_files = {'.gitignore', '.DS_Store'}
-
-    # 检查路径中是否包含排除的目录
-    for part in filepath.parts:
-        if part in exclude_dirs:
-            return False
-
-    # 检查文件名是否在排除列表中
-    if filepath.name in exclude_files:
-        return False
-
-    # 只包含文本文件
-    if not is_text_file(filepath):
-        return False
-
-    # 文件大小限制（100KB）
-    if get_file_size(filepath) > 100 * 1024:
-        return False
-
-    return True
-
-def get_important_files():
-    """获取所有重要文件列表"""
-    important_files = []
-    current_dir = Path('.')
-
-    # 核心文件（按重要性排序）
-    core_files = [
-        'CLAUDE.md',           # 项目说明和指令
-        'app_simple.py',       # 主应用（推荐版本）
-        'app.py',              # 原版应用
-        'templates/index.html', # 前端模板
-        'static/script.js',    # 前端逻辑
-        'static/style.css',    # 前端样式
-        'requirements.txt',    # Python依赖
-        'Dockerfile',          # 容器配置
-        'vercel.json',         # Vercel部署配置
-    ]
-
-    # API模块
-    api_files = [
-        'api/__init__.py',
-        'api/fal_client.py',
-        'api/routes.py',
-        'monitoring.py',
-    ]
-
-    # 配置和文档
-    config_files = [
-        'README.md',
-        'DEPLOYMENT.md',
-        'LOCALIZATION_SUMMARY.md',
-        '.github/workflows/deploy.yml',
-    ]
-
-    # 测试文件
-    test_files = [
-        'tests/__init__.py',
-    ]
-
-    # 按顺序添加文件
-    all_files = core_files + api_files + config_files + test_files
-
-    for file_path in all_files:
-        full_path = current_dir / file_path
-        if full_path.exists() and should_include_file(full_path):
-            important_files.append(full_path)
-
-    # 查找其他可能遗漏的重要文件
-    for file_path in current_dir.rglob('*'):
-        if file_path.is_file() and should_include_file(file_path):
-            if file_path not in important_files:
-                important_files.append(file_path)
-
-    return important_files
-
-def create_package_file():
-    """创建代码打包文件"""
-    timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
-    output_file = f"seedream_codebase_{timestamp}.txt"
-
-    files = get_important_files()
-    total_size = sum(get_file_size(f) for f in files)
-
-    with open(output_file, 'w', encoding='utf-8') as output:
-        # 写入头部信息
-        output.write("="*80 + "\n")
-        output.write("SeedDream v4 - AI图像生成与编辑器 - 完整代码库\n")
-        output.write("="*80 + "\n")
-        output.write(f"生成时间: {datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n")
-        output.write(f"包含文件数: {len(files)}\n")
-        output.write(f"总代码大小: {total_size:,} bytes ({total_size/1024:.1f} KB)\n")
-        output.write("\n")
-
-        # 项目概述
-        output.write("项目概述:\n")
-        output.write("-" * 40 + "\n")
-        output.write("• SeedDream v4是基于Flask的AI图像生成与编辑器\n")
-        output.write("• 支持ByteDance SeedDream v4和Qwen图像编辑模型\n")
-        output.write("• 完整的中文本地化界面，优化iPad/移动端体验\n")
-        output.write("• 使用FAL API进行图像生成和编辑\n")
-        output.write("• 部署在Hugging Face Spaces，支持Docker容器化\n")
-        output.write("\n")
-
-        # 文件目录
-        output.write("文件目录:\n")
-        output.write("-" * 40 + "\n")
-        for i, file_path in enumerate(files, 1):
-            file_size = get_file_size(file_path)
-            output.write(f"{i:2}. {file_path} ({file_size:,} bytes)\n")
-        output.write("\n")
-
-        # 架构说明
-        output.write("架构说明:\n")
-        output.write("-" * 40 + "\n")
-        output.write("• app_simple.py: 优化版主应用，推荐用于生产环境\n")
-        output.write("• app.py: 原版应用，包含复杂异步处理逻辑\n")
-        output.write("• api/: 模块化API客户端和路由\n")
-        output.write("• templates/: Jinja2模板，完整中文界面\n")
-        output.write("• static/: CSS和JavaScript资源\n")
-        output.write("• CLAUDE.md: 项目指令和开发规范\n")
-        output.write("\n")
-
-        output.write("="*80 + "\n")
-        output.write("文件内容开始\n")
-        output.write("="*80 + "\n\n")
-
-        # 写入每个文件的内容
-        for i, file_path in enumerate(files, 1):
-            output.write(f"\n{'='*60}\n")
-            output.write(f"文件 {i}/{len(files)}: {file_path}\n")
-            output.write(f"大小: {get_file_size(file_path):,} bytes\n")
-            output.write(f"{'='*60}\n\n")
-
-            try:
-                with open(file_path, 'r', encoding='utf-8') as f:
-                    content = f.read()
-                    output.write(content)
-                    if not content.endswith('\n'):
-                        output.write('\n')
-            except Exception as e:
-                output.write(f"[错误] 无法读取文件: {e}\n")
-
-            output.write(f"\n{'='*60}\n")
-            output.write(f"文件结束: {file_path}\n")
-            output.write(f"{'='*60}\n\n")
-
-    return output_file, len(files), total_size
-
-def main():
-    """主函数"""
-    print("SeedDream v4 代码打包工具")
-    print("=" * 50)
-
-    if not os.path.exists('CLAUDE.md'):
-        print("错误: 未在当前目录找到CLAUDE.md文件")
-        print("请确保在SeedDream项目根目录下运行此脚本")
-        return
-
-    print("正在分析项目文件...")
-    files = get_important_files()
-    total_size = sum(get_file_size(f) for f in files)
-
-    print(f"找到 {len(files)} 个重要文件")
-    print(f"总大小: {total_size:,} bytes ({total_size/1024:.1f} KB)")
-
-    if total_size > 1024 * 1024:  # 1MB
-        print("警告: 代码库较大，生成的文件可能很大")
-
-    print("\n正在生成打包文件...")
-    output_file, file_count, total_bytes = create_package_file()
-
-    print(f"\n[成功] 代码包已生成: {output_file}")
-    print(f"[文件] 包含文件: {file_count} 个")
-    print(f"[大小] 总大小: {total_bytes:,} bytes ({total_bytes/1024:.1f} KB)")
-    print(f"[输出] 输出文件大小: {get_file_size(output_file):,} bytes")
-
-    print(f"\n[使用说明]:")
-    print(f"1. 将 {output_file} 发送给AI专家")
-    print(f"2. 文件包含完整的项目代码和说明")
-    print(f"3. AI专家可以基于此文件提供代码审查建议")
-
-if __name__ == "__main__":
-    main()

request_ids.txt

@@ -1,31 +0,0 @@
-1159f5f8-3aee-42d2-8d7b-88eb7563c253
-12bf8e97-de7a-420b-9db4-ce6c31b4cc9d
-146a9508-77a5-47ca-83ac-5a24bd65b977
-1b097199-f2b1-442f-8675-ba60c7143bce
-1f547c18-8086-459b-83d9-9d9fd6fd205f
-21cb18f7-df12-4611-a28e-24311ddd0cc3
-2d05b2e4-5247-4ff7-b230-3c213d887a4b
-3718fbc1-9b75-451a-b54f-be6ca11a4c83
-3b491ce2-ae5c-4057-93b1-032f40abd68f
-3e0892e0-00f4-45ba-aa45-bb057cd309df
-496ff93e-1f07-46dc-a28e-e27574fb9071
-5c13351e-4e26-497c-956c-b6a113feed7c
-6612d36e-e208-4883-ae64-d84ed64d35c5
-678c9c56-3634-4f69-865a-0ad107c1749b
-6c308dff-5dd1-436f-91c1-80699705627c
-6e8c3ee1-b779-4fb2-b3e0-43f4d74f6944
-72214082-67f8-4dc5-b2fc-d2f28b190145
-73076274-cf58-4972-950d-aea4e561fae6
-7892096b-2e84-4ae5-ac77-642ae0db7a5e
-79141a2f-8c45-4ba4-8c8d-9c90bb841bb5
-7c501d58-8208-40f5-9404-75abf1e5fa28
-7c985ffd-28ff-465a-aacd-4acfd9ed9488
-ab52e365-76ac-4d37-8c5c-7813c3a4abdb
-aed651a8-1f6c-459d-9c48-4f668a20676e
-c2e3bd2c-e6bd-4370-b30e-f16e9e062db6
-ce0d8a76-a922-4452-a17b-10851d5bc5ba
-d8fe4289-a26b-4710-9d75-120a010e07ca
-dd9183de-2f65-41b7-8522-5f758c70abf4
-e3940e23-8183-4d02-91bf-294bb70f131a
-f429cdb5-efd5-4f5c-9a3c-076bdf22bf79
-f4a6549e-9b1e-4342-b1fa-024b63ee912b

request_ids_context.json

@@ -1,1070 +0,0 @@
-[
-  {
-    "request_id": "3b491ce2-ae5c-4057-93b1-032f40abd68f",
-    "line_num": 113,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:50:23,098 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/3b491ce2-ae5c-4057-93b1-032f40abd68f/status?logs=true \"HTTP/1.1 202 Accepted\"\n"
-  },
-  {
-    "request_id": "3b491ce2-ae5c-4057-93b1-032f40abd68f",
-    "line_num": 117,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:50:24,755 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/3b491ce2-ae5c-4057-93b1-032f40abd68f/status?logs=true \"HTTP/1.1 202 Accepted\"\n"
-  },
-  {
-    "request_id": "3b491ce2-ae5c-4057-93b1-032f40abd68f",
-    "line_num": 121,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:50:27,078 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/3b491ce2-ae5c-4057-93b1-032f40abd68f/status?logs=true \"HTTP/1.1 202 Accepted\"\n"
-  },
-  {
-    "request_id": "3b491ce2-ae5c-4057-93b1-032f40abd68f",
-    "line_num": 125,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:50:29,679 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/3b491ce2-ae5c-4057-93b1-032f40abd68f/status?logs=true \"HTTP/1.1 202 Accepted\"\n"
-  },
-  {
-    "request_id": "3b491ce2-ae5c-4057-93b1-032f40abd68f",
-    "line_num": 129,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:50:32,898 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/3b491ce2-ae5c-4057-93b1-032f40abd68f/status?logs=true \"HTTP/1.1 202 Accepted\"\n"
-  },
-  {
-    "request_id": "3b491ce2-ae5c-4057-93b1-032f40abd68f",
-    "line_num": 133,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:50:37,180 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/3b491ce2-ae5c-4057-93b1-032f40abd68f/status?logs=true \"HTTP/1.1 202 Accepted\"\n"
-  },
-  {
-    "request_id": "3b491ce2-ae5c-4057-93b1-032f40abd68f",
-    "line_num": 137,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:50:42,085 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/3b491ce2-ae5c-4057-93b1-032f40abd68f/status?logs=true \"HTTP/1.1 202 Accepted\"\n"
-  },
-  {
-    "request_id": "3b491ce2-ae5c-4057-93b1-032f40abd68f",
-    "line_num": 141,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:50:51,118 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/3b491ce2-ae5c-4057-93b1-032f40abd68f/status?logs=true \"HTTP/1.1 200 OK\"\n"
-  },
-  {
-    "request_id": "3b491ce2-ae5c-4057-93b1-032f40abd68f",
-    "line_num": 142,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:50:51,156 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/3b491ce2-ae5c-4057-93b1-032f40abd68f/status?logs=false \"HTTP/1.1 200 OK\"\n"
-  },
-  {
-    "request_id": "3b491ce2-ae5c-4057-93b1-032f40abd68f",
-    "line_num": 143,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:50:51,192 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/3b491ce2-ae5c-4057-93b1-032f40abd68f \"HTTP/1.1 200 OK\"\n"
-  },
-  {
-    "request_id": "e3940e23-8183-4d02-91bf-294bb70f131a",
-    "line_num": 155,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:51:31,030 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/e3940e23-8183-4d02-91bf-294bb70f131a/status?logs=true \"HTTP/1.1 202 Accepted\"\n"
-  },
-  {
-    "request_id": "e3940e23-8183-4d02-91bf-294bb70f131a",
-    "line_num": 159,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:51:32,766 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/e3940e23-8183-4d02-91bf-294bb70f131a/status?logs=true \"HTTP/1.1 202 Accepted\"\n"
-  },
-  {
-    "request_id": "e3940e23-8183-4d02-91bf-294bb70f131a",
-    "line_num": 163,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:51:53,711 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/e3940e23-8183-4d02-91bf-294bb70f131a/status?logs=true \"HTTP/1.1 200 OK\"\n"
-  },
-  {
-    "request_id": "e3940e23-8183-4d02-91bf-294bb70f131a",
-    "line_num": 164,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:51:53,747 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/e3940e23-8183-4d02-91bf-294bb70f131a/status?logs=false \"HTTP/1.1 200 OK\"\n"
-  },
-  {
-    "request_id": "e3940e23-8183-4d02-91bf-294bb70f131a",
-    "line_num": 165,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:51:53,782 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/e3940e23-8183-4d02-91bf-294bb70f131a \"HTTP/1.1 200 OK\"\n"
-  },
-  {
-    "request_id": "1f547c18-8086-459b-83d9-9d9fd6fd205f",
-    "line_num": 177,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:52:27,545 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/1f547c18-8086-459b-83d9-9d9fd6fd205f/status?logs=true \"HTTP/1.1 202 Accepted\"\n"
-  },
-  {
-    "request_id": "1f547c18-8086-459b-83d9-9d9fd6fd205f",
-    "line_num": 181,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:53:00,966 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/1f547c18-8086-459b-83d9-9d9fd6fd205f/status?logs=true \"HTTP/1.1 200 OK\"\n"
-  },
-  {
-    "request_id": "1f547c18-8086-459b-83d9-9d9fd6fd205f",
-    "line_num": 182,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:53:01,008 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/1f547c18-8086-459b-83d9-9d9fd6fd205f/status?logs=false \"HTTP/1.1 200 OK\"\n"
-  },
-  {
-    "request_id": "1f547c18-8086-459b-83d9-9d9fd6fd205f",
-    "line_num": 183,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:53:01,044 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/1f547c18-8086-459b-83d9-9d9fd6fd205f \"HTTP/1.1 200 OK\"\n"
-  },
-  {
-    "request_id": "c2e3bd2c-e6bd-4370-b30e-f16e9e062db6",
-    "line_num": 195,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:55:52,373 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/c2e3bd2c-e6bd-4370-b30e-f16e9e062db6/status?logs=true \"HTTP/1.1 202 Accepted\"\n"
-  },
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-    "request_id": "c2e3bd2c-e6bd-4370-b30e-f16e9e062db6",
-    "line_num": 199,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:55:54,280 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/c2e3bd2c-e6bd-4370-b30e-f16e9e062db6/status?logs=true \"HTTP/1.1 202 Accepted\"\n"
-  },
-  {
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-    "line_num": 203,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:55:56,479 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/c2e3bd2c-e6bd-4370-b30e-f16e9e062db6/status?logs=true \"HTTP/1.1 202 Accepted\"\n"
-  },
-  {
-    "request_id": "c2e3bd2c-e6bd-4370-b30e-f16e9e062db6",
-    "line_num": 207,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:56:27,920 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/c2e3bd2c-e6bd-4370-b30e-f16e9e062db6/status?logs=true \"HTTP/1.1 200 OK\"\n"
-  },
-  {
-    "request_id": "c2e3bd2c-e6bd-4370-b30e-f16e9e062db6",
-    "line_num": 208,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:56:27,956 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/c2e3bd2c-e6bd-4370-b30e-f16e9e062db6/status?logs=false \"HTTP/1.1 200 OK\"\n"
-  },
-  {
-    "request_id": "c2e3bd2c-e6bd-4370-b30e-f16e9e062db6",
-    "line_num": 209,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:56:27,993 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/c2e3bd2c-e6bd-4370-b30e-f16e9e062db6 \"HTTP/1.1 200 OK\"\n"
-  },
-  {
-    "request_id": "72214082-67f8-4dc5-b2fc-d2f28b190145",
-    "line_num": 221,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:57:26,286 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/72214082-67f8-4dc5-b2fc-d2f28b190145/status?logs=true \"HTTP/1.1 202 Accepted\"\n"
-  },
-  {
-    "request_id": "72214082-67f8-4dc5-b2fc-d2f28b190145",
-    "line_num": 225,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:57:27,998 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/72214082-67f8-4dc5-b2fc-d2f28b190145/status?logs=true \"HTTP/1.1 202 Accepted\"\n"
-  },
-  {
-    "request_id": "72214082-67f8-4dc5-b2fc-d2f28b190145",
-    "line_num": 229,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:57:45,317 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/72214082-67f8-4dc5-b2fc-d2f28b190145/status?logs=true \"HTTP/1.1 202 Accepted\"\n"
-  },
-  {
-    "request_id": "72214082-67f8-4dc5-b2fc-d2f28b190145",
-    "line_num": 233,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:57:47,938 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/72214082-67f8-4dc5-b2fc-d2f28b190145/status?logs=true \"HTTP/1.1 200 OK\"\n"
-  },
-  {
-    "request_id": "72214082-67f8-4dc5-b2fc-d2f28b190145",
-    "line_num": 234,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:57:47,974 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/72214082-67f8-4dc5-b2fc-d2f28b190145/status?logs=false \"HTTP/1.1 200 OK\"\n"
-  },
-  {
-    "request_id": "72214082-67f8-4dc5-b2fc-d2f28b190145",
-    "line_num": 235,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:57:48,009 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/72214082-67f8-4dc5-b2fc-d2f28b190145 \"HTTP/1.1 200 OK\"\n"
-  },
-  {
-    "request_id": "79141a2f-8c45-4ba4-8c8d-9c90bb841bb5",
-    "line_num": 247,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:58:30,164 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/79141a2f-8c45-4ba4-8c8d-9c90bb841bb5/status?logs=true \"HTTP/1.1 202 Accepted\"\n"
-  },
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-    "line_num": 251,
-    "pattern": "/requests/([A-Za-z0-9\\-_]+)",
-    "line_preview": "2025-09-29 15:59:04,307 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/79141a2f-8c45-4ba4-8c8d-9c90bb841bb5/status?logs=true \"HTTP/1.1 200 OK\"\n"
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-    "request_id": "21cb18f7-df12-4611-a28e-24311ddd0cc3",
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-    "line_preview": "2025-09-29 16:51:02,332 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/21cb18f7-df12-4611-a28e-24311ddd0cc3/status?logs=true \"HTTP/1.1 202 Accepted\"\n"
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-    "line_preview": "2025-09-29 16:51:06,967 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/21cb18f7-df12-4611-a28e-24311ddd0cc3/status?logs=true \"HTTP/1.1 202 Accepted\"\n"
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-    "line_preview": "2025-09-29 17:13:40,261 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/3718fbc1-9b75-451a-b54f-be6ca11a4c83/status?logs=true \"HTTP/1.1 403 Forbidden\"\n"
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-    "line_preview": "2025-09-29 17:13:45,013 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/3718fbc1-9b75-451a-b54f-be6ca11a4c83/status?logs=true \"HTTP/1.1 403 Forbidden\"\n"
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-    "line_preview": "2025-09-29 17:13:49,760 - httpx - INFO - HTTP Request: GET https://queue.fal.run/fal-ai/bytedance/requests/3718fbc1-9b75-451a-b54f-be6ca11a4c83/status?logs=true \"HTTP/1.1 403 Forbidden\"\n"
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-]