update

Dockerfile

@@ -1,6 +1,9 @@
 # 使用Python 3.10作为基础镜像
 FROM python:3.10-slim
 
+# 设置环境变量
+ENV PYTHONUNBUFFERED=1
+ENV PYTHONDONTWRITEBYTECODE=1
 
 # 设置时区
 RUN ln -sf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime
@@ -27,25 +30,44 @@ RUN apt-get update \
         default-libmysqlclient-dev \
         pkg-config \
         curl \
+        nano \
     && rm -rf /var/lib/apt/lists/*
 
 # 设置工作目录
 WORKDIR /app
 
-# 复制项目文件
+# 安装Python依赖（先于文件复制，利用缓存）
 COPY requirements.txt .
+RUN pip install -i https://mirrors.aliyun.com/pypi/simple/ -r requirements.txt \
+    && pip install -i https://mirrors.aliyun.com/pypi/simple/ uvicorn python-multipart python-dotenv
+
+# 复制项目文件
 COPY app app/
 COPY *.py ./
-COPY .env* ./
 COPY entrypoint.sh .
 
+# 创建一个默认的.env.example文件
+RUN echo "# 数据库配置\n\
+DB_HOST=db\n\
+DB_PORT=3306\n\
+DB_USER=ai_user\n\
+DB_PASSWORD=yourpassword\n\
+DB_NAME=ai_dressing\n\
+\n\
+# 阿里云DashScope配置\n\
+DASHSCOPE_API_KEY=your_dashscope_api_key\n\
+\n\
+# 腾讯云配置\n\
+QCLOUD_SECRET_ID=your_qcloud_secret_id\n\
+QCLOUD_SECRET_KEY=your_qcloud_secret_key\n\
+QCLOUD_COS_REGION=ap-chengdu\n\
+QCLOUD_COS_BUCKET=your-bucket-name\n\
+QCLOUD_COS_DOMAIN=https://your-bucket-domain.com\n\
+" > /app/.env.example
+
 # 确保entrypoint.sh可执行
 RUN chmod +x /app/entrypoint.sh
 
-# 安装Python依赖
-RUN pip install -i https://mirrors.aliyun.com/pypi/simple/ -r requirements.txt \
-    && pip install -i https://mirrors.aliyun.com/pypi/simple/ uvicorn python-multipart python-dotenv
-
 # 暴露端口
 EXPOSE 8000
 
@@ -53,4 +75,4 @@ EXPOSE 8000
 ENTRYPOINT ["/app/entrypoint.sh"]
 
 # 启动命令
-CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"] 
+CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000", "--log-level", "info"] 

docker-compose.yml

@@ -2,11 +2,18 @@ version: '3.8'
 
 services:
   app:
-    build: .
+    build: 
+      context: .
+      args:
+        - DB_HOST=db
+        - DB_PORT=3306
+        - DB_USER=ai_user
+        - DB_PASSWORD=yourpassword
+        - DB_NAME=ai_dressing
     container_name: ai-dressing-app
     restart: always
     ports:
-      - "9001:9001"
+      - "9001:8000"
     env_file:
       - ./.env
     # 环境变量可以覆盖.env文件中的值
@@ -16,15 +23,27 @@ services:
       - DB_USER=ai_user
       - DB_PASSWORD=yourpassword
       - DB_NAME=ai_dressing
-      - DASHSCOPE_API_KEY=${DASHSCOPE_API_KEY}
+      # 这些环境变量会从宿主机的环境变量中读取，如果不存在则使用示例值
-      - QCLOUD_SECRET_ID=${QCLOUD_SECRET_ID}
+      - DASHSCOPE_API_KEY=${DASHSCOPE_API_KEY:-your_dashscope_api_key}
-      - QCLOUD_SECRET_KEY=${QCLOUD_SECRET_KEY}
+      - QCLOUD_SECRET_ID=${QCLOUD_SECRET_ID:-your_qcloud_secret_id}
+      - QCLOUD_SECRET_KEY=${QCLOUD_SECRET_KEY:-your_qcloud_secret_key}
+      - QCLOUD_COS_REGION=${QCLOUD_COS_REGION:-ap-chengdu}
+      - QCLOUD_COS_BUCKET=${QCLOUD_COS_BUCKET:-your-bucket-name}
+      - QCLOUD_COS_DOMAIN=${QCLOUD_COS_DOMAIN:-https://your-bucket-domain.com}
+      - PYTHONPATH=/app
     depends_on:
       - db
     volumes:
-      - ./:/app
+      - ./.env:/app/.env:ro  # 明确映射.env文件
+      # - ./app:/app/app # 开发时才使用，生产环境建议去掉
     networks:
       - ai-dressing-network
+    healthcheck:
+      test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 10s
 
   db:
     image: mysql:8.0
@@ -43,6 +62,12 @@ services:
     command: --character-set-server=utf8mb4 --collation-server=utf8mb4_unicode_ci
     networks:
       - ai-dressing-network
+    healthcheck:
+      test: ["CMD", "mysqladmin", "ping", "-h", "localhost", "-u", "root", "-p$$MYSQL_ROOT_PASSWORD"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 30s
 
 volumes:
   mysql-data:

entrypoint.sh

@@ -1,20 +1,52 @@
 #!/bin/bash
 set -e
 
-# 检查.env文件是否存在
+echo "============= 容器启动 ============="
+echo "当前工作目录: $(pwd)"
+echo "目录内容:"
+ls -la
+
+# 优先级1: 尝试从.env文件加载
 if [ -f .env ]; then
   echo "找到.env文件，加载环境变量..."
+  # 打印文件内容（隐藏敏感信息）
+  echo "文件内容预览（敏感信息已隐藏）:"
+  grep -v "KEY\|PASSWORD\|SECRET" .env | cat -n
+  
   # 从.env文件导出所有环境变量
   export $(grep -v '^#' .env | xargs)
+  echo "已从.env加载环境变量"
+elif [ -f /app/.env ]; then
+  echo "在/app目录下找到.env文件，加载环境变量..."
+  export $(grep -v '^#' /app/.env | xargs)
+  echo "已从/app/.env加载环境变量"
+elif [ -f .env.docker ]; then
+  echo "找到.env.docker文件，加载环境变量..."
+  export $(grep -v '^#' .env.docker | xargs)
+  echo "已从.env.docker加载环境变量"
 else
-  echo ".env文件不存在，使用默认环境变量..."
+  echo ".env文件不存在，环境变量将从Docker环境中读取..."
 fi
 
-# 打印重要环境变量，确认已加载（不打印敏感信息）
+# 打印环境变量，确认是否已正确加载
-echo "环境变量检查："
+echo "============= 环境变量检查 ============="
 echo "DB_HOST: $DB_HOST"
+echo "DB_PORT: $DB_PORT"
+echo "DB_USER: $DB_USER"
 echo "DB_NAME: $DB_NAME"
-echo "ENVIRONMENT: $ENVIRONMENT"
+echo "DASHSCOPE_API_KEY是否存在: $(if [ -n "$DASHSCOPE_API_KEY" ]; then echo "是"; else echo "否"; fi)"
+echo "QCLOUD_SECRET_ID是否存在: $(if [ -n "$QCLOUD_SECRET_ID" ]; then echo "是"; else echo "否"; fi)"
+
+# 确保Python能找到应用
+export PYTHONPATH=/app:$PYTHONPATH
+
+echo "============= Python环境 ============="
+echo "Python版本: $(python --version)"
+echo "Python路径: $(which python)"
+echo "PYTHONPATH: $PYTHONPATH"
+
+echo "============= 启动应用 ============="
+echo "执行命令: $@"
 
 # 执行原始的命令
 exec "$@"