59 lines
1.9 KiB
YAML
59 lines
1.9 KiB
YAML
# =============================================================================
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# 追光AI Docker Compose 测试覆盖 (并行部署, 端口 8302)
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# - 与生产 PM2 部署 (8301) 并行运行，验证容器化版本
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# - 通过环境变量覆盖 PORT 到 8302，不影响 8301 上的 PM2 服务
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# - 使用: docker-compose -f docker-compose.yml -f docker-compose.test.yml up -d
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# =============================================================================
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services:
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zhuiguang-ai-app:
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environment:
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TZ: Asia/Shanghai
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NODE_ENV: production
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PORT: "8302"
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HOSTNAME: "0.0.0.0"
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# 测试卷：避免与生产卷混淆
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volumes:
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- ./env/.env.production:/app/.env:ro
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- test-bot-data:/app/data
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- test-bot-public:/app/public
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- test-bot-logs:/app/logs
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- test-bot-prisma:/app/node_modules/.prisma
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# 改 container_name 避免与未来生产部署冲突
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container_name: zhuiguang-ai-app-test
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# 关掉 healthcheck（不依赖 8301 端口被占用）
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healthcheck:
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test: ["CMD", "curl", "-fs", "http://localhost:8302/api/health"]
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interval: 30s
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timeout: 5s
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retries: 3
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start_period: 30s
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zhuiguang-ai-cron:
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environment:
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TZ: Asia/Shanghai
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NODE_ENV: production
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# cron 容器不需要 PORT，但保持可读
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PORT: "8302"
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volumes:
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- ./env/.env.production:/app/.env:ro
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- test-bot-data:/app/data
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- test-bot-public:/app/public
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- test-bot-logs:/app/logs
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- test-bot-prisma:/app/node_modules/.prisma
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- ./crontab.txt:/app/crontab.txt:ro
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container_name: zhuiguang-ai-cron-test
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depends_on:
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- zhuiguang-ai-app
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# 测试卷（独立命名，不与生产卷冲突）
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volumes:
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test-bot-data:
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name: zhuiguang_ai_test_bot_data
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test-bot-public:
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name: zhuiguang_ai_test_bot_public
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test-bot-logs:
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name: zhuiguang_ai_test_bot_logs
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test-bot-prisma:
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name: zhuiguang_ai_test_bot_prisma
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