更新代码并修改远程仓库地址

.claude/settings.local.json

@@ -0,0 +1,18 @@
+{
+  "permissions": {
+    "allow": [
+      "Bash(docker build:*)",
+      "Bash(npm install)",
+      "Bash(mkdir:*)",
+      "Bash(docker run:*)",
+      "Bash(docker logs:*)",
+      "Bash(npm run build:*)",
+      "Bash(docker stop:*)",
+      "Bash(docker rm:*)",
+      "Bash(docker tag:*)",
+      "Bash(docker push:*)",
+      "Bash(docker login:*)"
+    ],
+    "deny": []
+  }
+}

Dockerfile

@@ -1,5 +1,5 @@
 # 阶段一: 构建Vue前端
-FROM node:18-alpine as frontend-builder
+FROM node:18-alpine AS frontend-builder
 
 # 设置工作目录
 WORKDIR /app/frontend
@@ -13,18 +13,21 @@ RUN npm ci
 # 复制前端源代码
 COPY frontend/ ./
 
+# 确保node_modules中的可执行文件有正确权限
+RUN chmod +x node_modules/.bin/*
+
 # 构建前端应用
 RUN npm run build
 
 # 阶段二: 构建Python后端
-FROM python:3.10-slim as backend-builder
+FROM python:3.10-slim AS backend-builder
 
 # 设置工作目录
 WORKDIR /app
 
 # 安装系统依赖和构建依赖
 RUN apt-get update && apt-get install -y \
-    libgl1-mesa-glx \
+    libgl1 \
     ca-certificates \
     build-essential \
     && rm -rf /var/lib/apt/lists/*
@@ -43,7 +46,7 @@ WORKDIR /app
 
 # 安装运行时依赖
 RUN apt-get update && apt-get install -y \
-    libgl1-mesa-glx \
+    libgl1 \
     ca-certificates \
     && rm -rf /var/lib/apt/lists/*
 

Dockerfile.backend

@@ -0,0 +1,29 @@
+# 简化版本：只构建后端，不包含前端
+FROM python:3.10-slim
+
+# 设置工作目录
+WORKDIR /app
+
+# 复制requirements.txt
+COPY requirements.txt .
+
+# 安装Python依赖
+RUN pip install --no-cache-dir -r requirements.txt
+
+# 复制后端代码
+COPY *.py ./
+COPY services/ ./services/
+COPY utils/ ./utils/
+
+# 创建数据目录和日志目录
+RUN mkdir -p data logs
+
+# 暴露端口
+EXPOSE 8888
+
+# 设置环境变量
+ENV PYTHONPATH=/app
+ENV PYTHONUNBUFFERED=1
+
+# 启动应用
+CMD ["python", "web_server.py"]

Dockerfile.full

@@ -0,0 +1,32 @@
+# 完整版本：包含前端和后端
+FROM python:3.10-slim
+
+# 设置工作目录
+WORKDIR /app
+
+# 复制requirements.txt
+COPY requirements.txt .
+
+# 安装Python依赖
+RUN pip install --no-cache-dir -r requirements.txt
+
+# 复制后端代码
+COPY *.py ./
+COPY services/ ./services/
+COPY utils/ ./utils/
+
+# 复制前端构建产物
+COPY frontend/dist/ ./frontend/dist/
+
+# 创建数据目录和日志目录
+RUN mkdir -p data logs
+
+# 暴露端口
+EXPOSE 8888
+
+# 设置环境变量
+ENV PYTHONPATH=/app
+ENV PYTHONUNBUFFERED=1
+
+# 启动应用
+CMD ["python", "web_server.py"]

docker-compose.local.yml

@@ -0,0 +1,27 @@
+version: '3.8'
+
+services:
+  app:
+    build:
+      context: .
+      dockerfile: Dockerfile
+    container_name: stock-scanner-app-local
+    ports:
+      - "8999:8888"
+    environment:
+      - API_KEY=${API_KEY}
+      - API_URL=${API_URL}
+      - API_MODEL=${API_MODEL}
+      - API_TIMEOUT=${API_TIMEOUT}
+      - LOGIN_PASSWORD=${LOGIN_PASSWORD}
+      - ANNOUNCEMENT_TEXT=${ANNOUNCEMENT_TEXT}
+    volumes:
+      - ./logs:/app/logs
+      - ./data:/app/data
+    restart: unless-stopped
+    networks:
+      - stock-scanner-network
+
+networks:
+  stock-scanner-network:
+    driver: bridge

docker-compose.yml

@@ -7,6 +7,7 @@ services:
     build:
       context: .
       dockerfile: Dockerfile
+      platform: linux/amd64
     container_name: stock-scanner-app
     ports:
       - "8888:8888"

requirements.txt

@@ -7,7 +7,7 @@ pandas==2.2.2
 scipy==1.15.1
 
 # 数据获取和分析库
-akshare==1.16.35
+akshare==1.17.44
 tqdm==4.67.1
 
 # Web框架与异步处理

services/ai_analyzer.py

@@ -266,13 +266,17 @@ class AIAnalyzer:
                                         chunk_data = json.loads(line)
                                         
                                         # 检查是否有finish_reason
-                                        finish_reason = chunk_data.get("choices", [{}])[0].get("finish_reason")
+                                        choices = chunk_data.get("choices", [])
+                                        if not choices:
+                                            logger.debug("收到空的choices数组，跳过")
+                                            continue
+                                        finish_reason = choices[0].get("finish_reason")
                                         if finish_reason == "stop":
                                             logger.debug("收到finish_reason=stop，流结束")
                                             continue
                                         
                                         # 获取delta内容
-                                        delta = chunk_data.get("choices", [{}])[0].get("delta", {})
+                                        delta = choices[0].get("delta", {})
                                         
                                         # 检查delta是否为空对象
                                         if not delta or delta == {}:
@@ -350,7 +354,16 @@ class AIAnalyzer:
                         return
                     
                     response_data = response.json()
-                    analysis_text = response_data.get("choices", [{}])[0].get("message", {}).get("content", "")
+                    choices = response_data.get("choices", [])
+                    if not choices:
+                        logger.error("API响应中没有choices数据")
+                        yield json.dumps({
+                            "stock_code": stock_code,
+                            "error": "API响应格式错误：缺少choices数据",
+                            "status": "error"
+                        })
+                        return
+                    analysis_text = choices[0].get("message", {}).get("content", "")
                     
                     # 尝试从分析内容中提取投资建议
                     recommendation = self._extract_recommendation(analysis_text)

tests/test_stream.py

@@ -117,7 +117,7 @@ def test_api_stream():
                             json_data = json.loads(data_content)
                             logger.debug(f"JSON结构: {_truncate_json_for_logging(json_data)}")
                             
-                            if 'choices' in json_data:
+                            if 'choices' in json_data and json_data['choices']:
                                 delta = json_data['choices'][0].get('delta', {})
                                 content = delta.get('content', '')