148 lines
3.9 KiB
Makefile
148 lines
3.9 KiB
Makefile
# BigDataTool Docker 管理 Makefile
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.PHONY: help build run stop clean logs shell health
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# 默认目标
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help:
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@echo "BigDataTool Docker 管理命令:"
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@echo ""
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@echo " build 构建Docker镜像"
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@echo " run 启动服务(简化版本)"
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@echo " run-full 启动完整服务(包含缓存和监控)"
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@echo " stop 停止服务"
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@echo " restart 重启服务"
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@echo " clean 清理容器和镜像"
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@echo " logs 查看服务日志"
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@echo " shell 进入容器shell"
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@echo " health 检查服务健康状态"
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@echo " ps 查看运行状态"
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@echo ""
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@echo "环境变量设置:"
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@echo " export SECRET_KEY=your-secret-key"
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@echo " export FLASK_ENV=production"
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@echo ""
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# 构建镜像
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build:
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@echo "构建BigDataTool Docker镜像..."
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docker build -t bigdatatool:latest .
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# 快速运行(简化版本)
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run:
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@echo "启动BigDataTool服务(简化版本)..."
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docker-compose -f docker-compose.simple.yml up -d
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@echo "服务启动中，请等待30秒后访问 http://localhost:5000"
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# 完整运行(包含缓存和监控)
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run-full:
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@echo "启动BigDataTool完整服务..."
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docker-compose up -d
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@echo "服务启动中，请等待30秒后访问:"
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@echo " - 主应用: http://localhost:5000"
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@echo " - Redis缓存: localhost:6379"
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# 生产环境运行(包含Nginx)
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run-prod:
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@echo "启动生产环境服务..."
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docker-compose --profile production up -d
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@echo "生产环境服务启动，访问地址:"
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@echo " - HTTP: http://localhost"
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@echo " - HTTPS: https://localhost (需要SSL证书)"
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# 监控环境运行
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run-monitor:
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@echo "启动监控环境..."
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docker-compose --profile monitoring up -d
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@echo "监控服务启动，访问地址:"
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@echo " - 主应用: http://localhost:5000"
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@echo " - Prometheus: http://localhost:9090"
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# 停止服务
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stop:
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@echo "停止所有服务..."
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docker-compose down
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docker-compose -f docker-compose.simple.yml down
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# 重启服务
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restart: stop run
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# 查看日志
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logs:
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@echo "查看服务日志..."
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docker-compose logs -f bigdatatool
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# 查看特定服务日志
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logs-app:
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docker-compose logs -f bigdatatool
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logs-redis:
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docker-compose logs -f redis-cache
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logs-nginx:
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docker-compose logs -f nginx
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# 进入容器shell
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shell:
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@echo "进入BigDataTool容器..."
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docker-compose exec bigdatatool /bin/bash
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# 健康检查
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health:
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@echo "检查服务健康状态..."
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@docker-compose ps
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@echo ""
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@echo "应用健康检查:"
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@curl -s http://localhost:5000/api/health | python -m json.tool || echo "服务未响应"
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# 查看运行状态
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ps:
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@echo "容器运行状态:"
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@docker-compose ps
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# 清理资源
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clean:
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@echo "清理Docker资源..."
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docker-compose down -v --remove-orphans
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docker-compose -f docker-compose.simple.yml down -v --remove-orphans
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docker system prune -f
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@echo "清理完成"
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# 强制清理(包括镜像)
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clean-all: clean
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@echo "强制清理所有资源..."
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docker rmi bigdatatool:latest || true
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docker volume prune -f
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docker network prune -f
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# 更新镜像
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update: clean build run
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# 查看资源使用
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stats:
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@echo "Docker资源使用情况:"
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@docker stats --no-stream
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# 备份数据
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backup:
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@echo "备份数据库和配置..."
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@mkdir -p backups/$(shell date +%Y%m%d_%H%M%S)
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@docker cp bigdatatool:/app/config_groups.db backups/$(shell date +%Y%m%d_%H%M%S)/
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@echo "备份完成: backups/$(shell date +%Y%m%d_%H%M%S)/"
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# 开发模式运行
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dev:
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@echo "开发模式运行..."
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@docker run --rm -it \
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-p 5000:5000 \
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-v $(PWD):/app \
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-e FLASK_ENV=development \
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-e FLASK_DEBUG=True \
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bigdatatool:latest
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# 构建并推送到仓库(需要先登录Docker Hub)
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publish: build
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@echo "推送镜像到Docker Hub..."
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@read -p "请输入Docker Hub用户名: " username && \
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docker tag bigdatatool:latest $$username/bigdatatool:latest && \
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docker tag bigdatatool:latest $$username/bigdatatool:2.0 && \
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docker push $$username/bigdatatool:latest && \
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docker push $$username/bigdatatool:2.0
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