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@@ -1,15 +0,0 @@
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FROM python:3.11-slim
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WORKDIR /app
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COPY requirement.txt .
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RUN pip install --no-cache-dir -r requirement.txt
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COPY frontend/ ./frontend/
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COPY app/ ./app/
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ENV PYTHONPATH=/app
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EXPOSE 8501
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CMD ["streamlit", "run", "frontend/frontend_main.py", "--server.port", "8501", "--server.address", "0.0.0.0", "--server.baseUrlPath", "/ai"]
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@@ -10,6 +10,7 @@ ENV PYTHONPATH=/app
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# llama.cpp 服务配置(本地部署标准端口)
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ENV VLLM_BASE_URL=http://host.docker.internal:18000/v1
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ENV LLAMACPP_EMBEDDING_URL=http://host.docker.internal:18001/v1
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ENV LLAMACPP_RERENT_URL=http://host.docker.internal:18002/v1
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# Mem0 记忆层配置
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ENV QDRANT_COLLECTION_NAME=mem0_user_memories
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@@ -40,30 +41,21 @@ RUN pip install --no-cache-dir /tmp/models/*.whl && \
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RUN pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
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# 复制 requirement 并安装(增加超时时间)
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COPY requirement.txt .
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RUN pip install --no-cache-dir --default-timeout=300 -r requirement.txt
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COPY backend/requirements.txt .
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RUN pip install --no-cache-dir --default-timeout=300 -r requirements.txt
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# =============================================================================
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# 预下载 spaCy 语言模型(避免容器启动时重复下载)
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# 复制项目代码
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# =============================================================================
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RUN pip install --no-cache-dir spacy && \
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python -m spacy download en_core_web_sm && \
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python -m spacy download zh_core_web_sm
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# =============================================================================
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# 复制项目代码 (只复制必需的文件夹,避免依赖被忽略的目录)
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# =============================================================================
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COPY rag_core/ ./rag_core/
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COPY app/ ./app/
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COPY frontend/ ./frontend/
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COPY scripts/ ./scripts/
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COPY backend/ ./
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# =============================================================================
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# 暴露端口
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# =============================================================================
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EXPOSE 8083
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EXPOSE 8079
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# =============================================================================
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# 启动命令
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# =============================================================================
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CMD ["python", "app/backend.py"]
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CMD ["python", "app/backend.py"]
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@@ -5,7 +5,7 @@ services:
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backend:
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build:
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context: .. # 构建上下文为项目根目录
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dockerfile: docker/Dockerfile.backend
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dockerfile: docker/backend/Dockerfile
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container_name: ai-backend
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environment:
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# ⭐ 敏感密钥:通过 .env 注入
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@@ -26,7 +26,7 @@ services:
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- QDRANT_URL=http://115.190.121.151:6333
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# 前端通信地址(Docker 内部网络)
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- API_URL=http://backend:8083/chat
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- API_URL=http://backend:8079/chat
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volumes:
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- ../data/user_docs:/app/data/user_docs # 挂载文档目录
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- ../logs:/app/logs
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@@ -35,16 +35,16 @@ services:
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# ⭐ 移除对 postgres 和 qdrant 的依赖
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restart: unless-stopped
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ports:
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- "8083:8083"
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- "8079:8079"
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frontend:
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build:
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context: ..
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dockerfile: docker/Dockerfile.frontend
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dockerfile: docker/frontend/Dockerfile
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container_name: ai-frontend
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environment:
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# Docker 内部网络使用服务名 'backend' 解析后端服务
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- API_URL=http://backend:8083/chat
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- API_URL=http://backend:8079/chat
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ports:
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- "8501:8501"
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networks:
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@@ -56,8 +56,3 @@ services:
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networks:
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ai-network:
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driver: bridge
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# ⭐ PostgreSQL 和 Qdrant 已迁移到远程服务器,不再需要本地卷
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# volumes:
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# pg_data:
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# qdrant_storage:
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21
docker/frontend/Dockerfile
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21
docker/frontend/Dockerfile
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@@ -0,0 +1,21 @@
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FROM python:3.11-slim
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WORKDIR /app
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ENV PYTHONPATH=/app
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# 设置 pip 国内镜像源
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RUN pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
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# 复制前端依赖并安装
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COPY frontend/requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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# 复制前端代码
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COPY frontend/src/ ./frontend/
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# 暴露端口
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EXPOSE 8501
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# 启动命令
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CMD ["streamlit", "run", "frontend/frontend_main.py", "--server.port", "8501", "--server.address", "0.0.0.0", "--server.baseUrlPath", "/ai"]
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