修改环境要求,确保在 ARM 架构的设备上也能正常使用 Docker 启动
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@ -1,5 +1,5 @@
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# 使用基础镜像
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FROM pytorch/pytorch:2.4.1-cuda11.8-cudnn9-runtime
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FROM python:3.12
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# 设置工作目录
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WORKDIR /app
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@ -9,11 +9,10 @@ COPY ../requirements.txt /app/requirements.txt
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# 安装依赖(Docker 会缓存这一步,除非 requirements.txt 发生变化)
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RUN pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple
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RUN pip install -U gunicorn -i https://pypi.tuna.tsinghua.edu.cn/simple
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RUN sed -i s@/archive.ubuntu.com/@/mirrors.aliyun.com/@g /etc/apt/sources.list
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RUN sed -i s@/security.ubuntu.com/@/mirrors.aliyun.com/@g /etc/apt/sources.list
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# RUN sed -i s@/archive.ubuntu.com/@/mirrors.aliyun.com/@g /etc/apt/sources.list
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# RUN sed -i s@/security.ubuntu.com/@/mirrors.aliyun.com/@g /etc/apt/sources.list
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RUN apt-get clean
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RUN apt-get update && apt-get install ffmpeg libsm6 libxext6 -y
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@ -11,7 +11,7 @@ services:
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- ../src/static/config.dev.yaml:/app/src/static/config.yaml
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- ${MODEL_DIR}:${MODEL_DIR} # 如果出现 undefined volume MODEL_DIR: invalid compose project,请添加此环境变量或者注释此行
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ports:
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- "5000:5000"
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- "5050:5050"
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depends_on:
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- graph
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- milvus
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@ -23,7 +23,7 @@ services:
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- NEO4J_PASSWORD=0123456789
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- MILVUS_URI=http://milvus:19530
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- MODEL_DIR=${MODEL_DIR} # 优先级高于 .env 中的 MODEL_DIR
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command: uvicorn src.main:app --host 0.0.0.0 --port 5000 --reload
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command: uvicorn src.main:app --host 0.0.0.0 --port 5050 --reload
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web:
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build:
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@ -42,7 +42,7 @@ services:
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- app-network
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environment:
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- NODE_ENV=development
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- VITE_API_URL=http://api:5000 # 添加这行
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- VITE_API_URL=http://api:5050 # 添加这行
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command: npm run server
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graph:
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@ -1,5 +1,5 @@
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# 开发阶段
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FROM node:22.10.0 AS development
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FROM node:latest AS development
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WORKDIR /app
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# 复制 package.json 和 package-lock.json(如果存在)
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@ -17,7 +17,7 @@ EXPOSE 5173
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# 启动开发服务器的命令在 docker-compose 文件中定义
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# 生产阶段
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FROM node:22.10.0 AS build-stage
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FROM node:latest AS build-stage
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WORKDIR /app
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COPY ./web/package*.json ./
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@ -18,7 +18,7 @@ torch>=2.4.0
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tqdm>=4.66.1
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zhipuai>=2.1.2
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neo4j>=5.22.0
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sentencepiece==0.1.99
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sentencepiece>=0.1.99
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llama-index-readers-file
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opencv-python-headless
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docx2txt
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10
scripts/run_docker.sh
Normal file
10
scripts/run_docker.sh
Normal file
@ -0,0 +1,10 @@
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#!/bin/bash
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# 检查是否提供了命令行参数
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if [ $# -eq 0 ]; then
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echo "请提供命令参数,例如:up -d 或 down"
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exit 1
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fi
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# 将所有命令行参数传递给 docker compose 命令
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docker compose -f docker/docker-compose.dev.yml --env-file src/.env "$@"
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@ -1 +1,3 @@
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ZHIPUAI_API_KEY=<ZHIPUAI_API_KEY>
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ZHIPUAI_API_KEY=270ea71e9******97.e3XOMdWKuZb7Q1Sk
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SILICONFLOW_API_KEY=sk-aeoamptic****vdmozbpdsofstmoqnvsmbvql
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MODEL_DIR=/home/user/Documents/projects/Yuxi-Know/models
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@ -0,0 +1,18 @@
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embed_model: siliconflow/BAAI/bge-m3
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enable_knowledge_base: true
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enable_knowledge_graph: false
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enable_reranker: true
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enable_search_engine: false
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enable_web_search: false
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filename: src/static/config.yaml
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model_dir: /Users/wenjie/Documents/projects/Yuxi-Know/models
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model_local_paths: {}
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model_name: Qwen/Qwen2.5-7B-Instruct
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model_provider: siliconflow
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reranker: siliconflow/BAAI/bge-reranker-v2-m3
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save_dir: saves
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stream: true
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use_rewrite_query: 'off'
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valuable_model_provider:
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- zhipu
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- siliconflow
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