feat: 更新环境配置和Gemini客户端，支持多个Google API密钥并实现限流重试机制

Dockerfile

@@ -0,0 +1,47 @@
+# 使用Python 3.11官方镜像作为基础镜像
+FROM python:3.11-slim
+
+# 设置工作目录
+WORKDIR /app
+
+# 设置环境变量
+ENV PYTHONDONTWRITEBYTECODE=1 \
+    PYTHONUNBUFFERED=1 \
+    PYTHONPATH=/app/src
+
+# 安装系统依赖，包括ffmpeg
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    libpq-dev \
+    curl \
+    ffmpeg \
+    && rm -rf /var/lib/apt/lists/*
+
+# 验证ffmpeg安装
+RUN ffmpeg -version
+
+# 复制requirements文件并安装Python依赖
+COPY requirements.txt .
+RUN pip install --no-cache-dir --upgrade pip && \
+    pip install --no-cache-dir -r requirements.txt
+
+# 复制项目文件
+COPY . .
+
+# 创建日志目录
+RUN mkdir -p /app/logs
+
+# 创建非root用户
+RUN useradd --create-home --shell /bin/bash app && \
+    chown -R app:app /app
+USER app
+
+# 暴露端口
+EXPOSE 8000
+
+# 健康检查
+HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
+    CMD curl -f http://localhost:8000/docs || exit 1
+
+# 启动命令
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000", "--app-dir", "src"]

env.example

@@ -8,6 +8,8 @@ QINIU_BUCKET_NAME="your_qiniu_bucket_name"
 QINIU_DOMAIN="your_qiniu_cdn_domain"
 
 # AI Models
-GOOGLE_API_KEY="your_google_ai_api_key"
+# Google API Keys，支持单个或多个key（用逗号分隔），用于处理限流重试
+GOOGLE_API_KEYS="your_google_ai_api_key"
+# 多个key示例: GOOGLE_API_KEYS="key1,key2,key3"
 OPENROUTER_API_KEY="your_openrouter_api_key"
 OPENROUTER_BASE_URL="https://openrouter.ai/api/v1"

src/infrastructure/config.py

@@ -18,7 +18,7 @@ class Settings(BaseSettings):
     qiniu_domain: str
     
     # AI Models
-    google_api_key: str
+    google_api_keys: str
     openrouter_api_key: str
     openrouter_base_url: str = "https://openrouter.ai/api/v1"
     

src/infrastructure/external/gemini_client.py

@@ -10,17 +10,77 @@ from google import genai
 from google.genai import types
 from ..config import settings
 from ..utils import safe_json_loads
+from .key_pool_manager import key_pool_manager
 from loguru import logger
 import ssl
 import urllib3
 urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
 
-
-client = genai.Client(api_key=settings.google_api_key)
-
 class GeminiClient:
     """Gemini AI客户端"""
     
+    def __init__(self):
+        self._current_client = None
+        self._refresh_client()
+    
+    def _refresh_client(self):
+        """刷新客户端，使用当前key"""
+        current_key = key_pool_manager.get_current_key()
+        self._current_client = genai.Client(api_key=current_key)
+    
+    def _execute_with_retry(self, func, *args, **kwargs):
+        """
+        执行函数并处理429错误重试
+        
+        Args:
+            func: 要执行的函数
+            *args: 函数参数
+            **kwargs: 函数关键字参数
+            
+        Returns:
+            函数执行结果
+            
+        Raises:
+            Exception: 所有key都尝试过后仍然失败
+        """
+        key_pool_manager.reset_to_first_key()  # 每次请求都从第一个key开始
+        self._refresh_client()
+        
+        last_exception = None
+        tried_keys = 0
+        max_keys = len(key_pool_manager.get_all_keys())
+        
+        while tried_keys < max_keys:
+            try:
+                tried_keys += 1
+                logger.info(f"使用第{tried_keys}个key尝试请求")
+                return func(*args, **kwargs)
+                
+            except Exception as e:
+                last_exception = e
+                error_str = str(e).lower()
+                
+                # 检查是否是429错误
+                if '429' in error_str or 'rate limit' in error_str or 'quota' in error_str:
+                    logger.warning(f"遇到限流错误: {e}")
+                    
+                    # 如果还有更多key可以尝试
+                    if key_pool_manager.switch_to_next_key():
+                        self._refresh_client()
+                        logger.info("切换到下一个key继续尝试")
+                        continue
+                    else:
+                        logger.error("所有key都已尝试，仍然遇到限流")
+                        break
+                else:
+                    # 非429错误，直接抛出，不重试
+                    logger.error(f"遇到非限流错误，不重试: {e}")
+                    raise e
+        
+        # 所有key都尝试过了，抛出最后一个异常
+        logger.error(f"所有{max_keys}个key都已尝试，请求失败")
+        raise last_exception
+    
     def generate_image_from_prompt(
         self, 
         prompt: str, 
@@ -36,7 +96,7 @@ class GeminiClient:
         Returns:
             生成的图片二进制数据，失败返回None
         """
-        try:
+        def _generate_image():
             # 构建图片生成提示词
             image_prompt = f'''
             Generate an image strictly according to the following prompt without any confirmation, questioning, or omission:
@@ -56,13 +116,17 @@ class GeminiClient:
             contents.append(image_prompt)
             # 调用Gemini API生成图片
 
-            response = client.models.generate_content(
+            response = self._current_client.models.generate_content(
                 model='gemini-2.5-flash-image-preview', 
                 contents=contents,
                 config=types.GenerateContentConfig(
                     http_options=types.HttpOptions(timeout=30000)
                 )
             )
+            return response
+        
+        try:
+            response = self._execute_with_retry(_generate_image)
             text = None
             image_base64 = None
             if hasattr(response, 'candidates') and response.candidates:
@@ -92,7 +156,7 @@ class GeminiClient:
         Returns:
             分析结果字典，包含name、description、tags
         """
-        try:
+        def _analyze_image():
             prompt = """
             请分析这张图片，并返回以下JSON格式的结果：
             {
@@ -104,7 +168,7 @@ class GeminiClient:
             请确保返回的是有效的JSON格式，不要包含其他文字。
             """
             
-            response = client.models.generate_content(
+            response = self._current_client.models.generate_content(
                 model='gemini-2.5-flash',
                 contents=[
                     prompt,
@@ -114,6 +178,10 @@ class GeminiClient:
                     )
                 ]
             )
+            return response
+        
+        try:
+            response = self._execute_with_retry(_analyze_image)
             
             # 解析返回的JSON
             result_text = response.text
@@ -141,25 +209,28 @@ class GeminiClient:
         Returns:
             生成的视频二进制数据，失败返回None
         """
-        try:
+        def _generate_video():
             # 构建视频生成提示词
             video_prompt = f"Create a video with the following prompt: {shot_prompt}"
             
-            
             image_input = types.Image(image_bytes=frame_image_bytes, mime_type="image/jpeg")
 
             # 调用Veo-3.0 API生成视频
-            operation = client.models.generate_videos(
+            operation = self._current_client.models.generate_videos(
                 model="veo-3.0-fast-generate-preview", #veo-3.0-generate-preview
                 prompt=video_prompt,
                 image=image_input
             )
+            return operation
+        
+        try:
+            operation = self._execute_with_retry(_generate_video)
             
             # 轮询操作状态直到视频生成完成
             logger.info("等待视频生成完成...")
             while not operation.done:
                 time.sleep(2)
-                operation = client.operations.get(operation)
+                operation = self._current_client.operations.get(operation)
             
             # 下载生成的视频
             
@@ -172,7 +243,7 @@ class GeminiClient:
                     raise Exception(operation.response.rai_media_filtered_reasons[0])
                 raise Exception("未知错误")
             
-            video_bytes = client.files.download(file=video.video)
+            video_bytes = self._current_client.files.download(file=video.video)
             
             logger.info("Veo-3.0视频生成成功")
             return video_bytes
@@ -207,9 +278,10 @@ class GeminiClient:
                 temp_video_path = temp_file.name
             
             try:
+                def _upload_and_analyze():
                     # 上传视频文件到Gemini
                     logger.info("正在上传视频到Gemini...")
-                myfile = client.files.upload(file=temp_video_path)
+                    myfile = self._current_client.files.upload(file=temp_video_path)
                     logger.info(f"视频上传成功，文件ID: {myfile.name}")
                     
                     # 等待文件变为ACTIVE状态
@@ -219,7 +291,7 @@ class GeminiClient:
                     waited_time = 0
                     
                     while waited_time < max_wait_time:
-                    file_info = client.files.get(name=myfile.name)
+                        file_info = self._current_client.files.get(name=myfile.name)
                         logger.info(f"文件状态: {file_info.state}")
                         
                         if file_info.state == "ACTIVE":
@@ -234,6 +306,8 @@ class GeminiClient:
                     if waited_time >= max_wait_time:
                         raise Exception("文件处理超时")
                     
+                    return myfile
+                
                 # 构建分析提示词
                 analysis_prompt = """
                 请仔细分析这个视频，并返回以下JSON格式的结果：
@@ -266,15 +340,21 @@ class GeminiClient:
                 6. 确保返回的是有效的JSON格式，不要包含其他文字
                 """
                 
+                myfile = self._execute_with_retry(_upload_and_analyze)
+                
+                def _analyze_video_content():
                     # 调用Gemini分析视频
                     logger.info("正在分析视频内容...")
-                response = client.models.generate_content(
+                    response = self._current_client.models.generate_content(
                         model="gemini-2.5-flash",
                         contents=[myfile, analysis_prompt],
                         config=types.GenerateContentConfig(
                             http_options=types.HttpOptions(timeout=120000)  # 2分钟超时
                         )
                     )
+                    return response
+                
+                response = self._execute_with_retry(_analyze_video_content)
                 
                 # 解析返回的JSON
                 result_text = response.text

src/infrastructure/external/key_pool_manager.py

@@ -0,0 +1,61 @@
+from typing import List, Optional, Iterator
+from loguru import logger
+import threading
+from ..config import settings
+
+
+class KeyPoolManager:
+    """Google API Key池管理器，用于处理限流重试"""
+    
+    def __init__(self):
+        self._keys: List[str] = []
+        self._current_index = 0
+        self._lock = threading.Lock()
+        self._initialize_keys()
+    
+    def _initialize_keys(self):
+        """初始化key池"""
+        # 解析key字符串，支持单个或多个key
+        self._keys = [key.strip() for key in settings.google_api_keys.split(',') if key.strip()]
+        if not self._keys:
+            raise ValueError("GOOGLE_API_KEYS不能为空")
+        logger.info(f"初始化Google API Key池，共{len(self._keys)}个key")
+    
+    def get_current_key(self) -> str:
+        """获取当前key"""
+        with self._lock:
+            if not self._keys:
+                raise ValueError("没有可用的Google API Key")
+            return self._keys[self._current_index]
+    
+    def switch_to_next_key(self) -> bool:
+        """切换到下一个key
+        
+        Returns:
+            bool: 如果还有下一个key返回True，否则返回False
+        """
+        with self._lock:
+            if len(self._keys) <= 1:
+                return False
+            
+            self._current_index = (self._current_index + 1) % len(self._keys)
+            logger.info(f"切换到下一个Google API Key，当前索引: {self._current_index}")
+            return True
+    
+    def reset_to_first_key(self):
+        """重置到第一个key"""
+        with self._lock:
+            self._current_index = 0
+            logger.info("重置到第一个Google API Key")
+    
+    def get_all_keys(self) -> List[str]:
+        """获取所有key（用于测试）"""
+        return self._keys.copy()
+    
+    def has_multiple_keys(self) -> bool:
+        """是否有多个key"""
+        return len(self._keys) > 1
+
+
+# 全局key池管理器实例
+key_pool_manager = KeyPoolManager()