82 lines
2.3 KiB
YAML
82 lines
2.3 KiB
YAML
# Docker Compose 配置文件
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#
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# 启动前准备:
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# 1. 复制环境变量配置: cp .env.example .env
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# 2. 根据需要修改 .env 文件
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# 3. （可选）预下载构建资源: bash download-resources.sh
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#
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# 启动方式:
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# 方法 1（推荐）: bash start.sh
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# 方法 2: docker compose up（需要确保 .env 文件存在）
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services:
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app:
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env_file:
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- .env
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build:
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context: ..
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dockerfile: .devcontainer/Dockerfile
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args:
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CONTAINER_USER_UID: ${CONTAINER_USER_UID:-1000}
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CONTAINER_USER_GID: ${CONTAINER_USER_GID:-1000}
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PROJECT_NAME: ${PROJECT_NAME:-isos}
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DOCKER_GID: ${DOCKER_GID:-984}
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image: vscode:${PROJECT_NAME:-isos}
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container_name: ${PROJECT_NAME:-isos}
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hostname: ${PROJECT_NAME:-isos}
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extra_hosts:
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- "${PROJECT_NAME:-isos}:127.0.0.1"
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- "localhost:127.0.0.1"
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# 特权模式（可选，部分场景需要）
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privileged: true
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# 资源限制配置
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deploy:
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resources:
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limits:
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cpus: '${CONTAINER_CPUS:-4}'
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memory: ${CONTAINER_MEMORY:-8G}
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# 配置 GPU 访问：all 表示所有 GPU，也可指定具体 GPU，如 "device=0,1"
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# deploy:
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# resources:
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# reservations:
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# devices:
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# - driver: nvidia
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# count: all
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# capabilities: [gpu]
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environment:
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NODE_OPTIONS: --max-old-space-size=4096
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DOCKER_ENABLED: ${DOCKER_ENABLED:-true}
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DOCKER_GID: ${DOCKER_GID:-984}
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# 让容器可见所有 GPU
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# NVIDIA_VISIBLE_DEVICES: all
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# 启用计算和工具类能力
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# NVIDIA_DRIVER_CAPABILITIES: compute,utility
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volumes:
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- ../:/workspace:delegated
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- ${DOCKER_SOCK:-/var/run/docker.sock}:/var/run/docker.sock
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- ${SSH_PATH:-.volumes/ssh}:/home/vscode/.ssh
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- ${CLAUDE_PATH:-.volumes/claude}:/home/vscode/.claude
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- ${JJ_CONFIG_PATH:-.volumes/jj}:/home/vscode/.config/jj
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working_dir: /workspace
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network_mode: host
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ulimits:
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memlock:
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soft: -1
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hard: -1
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stack:
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soft: 67108864
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hard: 67108864
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# 配置 IPC 模式
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ipc: host
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# dns:
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# - 119.29.29.29
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# - 223.5.5.5
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# - 8.8.8.8
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# - 1.1.1.1
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# - 202.96.128.143
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# - 202.96.128.68
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# - 202.96.134.133
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# - 202.96.128.86
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# - 202.96.128.166
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command: sleep infinity
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