# BigDataTool Docker 管理 Makefile
.PHONY: help build run stop clean logs shell health

# 默认目标
help:
	@echo "BigDataTool Docker 管理命令:"
	@echo ""
	@echo "  build         构建Docker镜像"
	@echo "  run           启动服务(简化版本)"
	@echo "  run-full      启动完整服务(包含缓存和监控)"
	@echo "  stop          停止服务"
	@echo "  restart       重启服务"
	@echo "  clean         清理容器和镜像"
	@echo "  logs          查看服务日志"
	@echo "  shell         进入容器shell"
	@echo "  health        检查服务健康状态"
	@echo "  ps            查看运行状态"
	@echo ""
	@echo "环境变量设置:"
	@echo "  export SECRET_KEY=your-secret-key"
	@echo "  export FLASK_ENV=production"
	@echo ""

# 构建镜像
build:
	@echo "构建BigDataTool Docker镜像..."
	docker build -t bigdatatool:latest .

# 快速运行(简化版本)
run:
	@echo "启动BigDataTool服务(简化版本)..."
	docker-compose -f docker-compose.simple.yml up -d
	@echo "服务启动中，请等待30秒后访问 http://localhost:5000"

# 完整运行(包含缓存和监控)
run-full:
	@echo "启动BigDataTool完整服务..."
	docker-compose up -d
	@echo "服务启动中，请等待30秒后访问:"
	@echo "  - 主应用: http://localhost:5000"
	@echo "  - Redis缓存: localhost:6379"

# 生产环境运行(包含Nginx)
run-prod:
	@echo "启动生产环境服务..."
	docker-compose --profile production up -d
	@echo "生产环境服务启动，访问地址:"
	@echo "  - HTTP: http://localhost"
	@echo "  - HTTPS: https://localhost (需要SSL证书)"

# 监控环境运行
run-monitor:
	@echo "启动监控环境..."
	docker-compose --profile monitoring up -d
	@echo "监控服务启动，访问地址:"
	@echo "  - 主应用: http://localhost:5000"
	@echo "  - Prometheus: http://localhost:9090"

# 停止服务
stop:
	@echo "停止所有服务..."
	docker-compose down
	docker-compose -f docker-compose.simple.yml down

# 重启服务
restart: stop run

# 查看日志
logs:
	@echo "查看服务日志..."
	docker-compose logs -f bigdatatool

# 查看特定服务日志
logs-app:
	docker-compose logs -f bigdatatool

logs-redis:
	docker-compose logs -f redis-cache

logs-nginx:
	docker-compose logs -f nginx

# 进入容器shell
shell:
	@echo "进入BigDataTool容器..."
	docker-compose exec bigdatatool /bin/bash

# 健康检查
health:
	@echo "检查服务健康状态..."
	@docker-compose ps
	@echo ""
	@echo "应用健康检查:"
	@curl -s http://localhost:5000/api/health | python -m json.tool || echo "服务未响应"

# 查看运行状态
ps:
	@echo "容器运行状态:"
	@docker-compose ps

# 清理资源
clean:
	@echo "清理Docker资源..."
	docker-compose down -v --remove-orphans
	docker-compose -f docker-compose.simple.yml down -v --remove-orphans
	docker system prune -f
	@echo "清理完成"

# 强制清理(包括镜像)
clean-all: clean
	@echo "强制清理所有资源..."
	docker rmi bigdatatool:latest || true
	docker volume prune -f
	docker network prune -f

# 更新镜像
update: clean build run

# 查看资源使用
stats:
	@echo "Docker资源使用情况:"
	@docker stats --no-stream

# 备份数据
backup:
	@echo "备份数据库和配置..."
	@mkdir -p backups/$(shell date +%Y%m%d_%H%M%S)
	@docker cp bigdatatool:/app/config_groups.db backups/$(shell date +%Y%m%d_%H%M%S)/
	@echo "备份完成: backups/$(shell date +%Y%m%d_%H%M%S)/"

# 开发模式运行
dev:
	@echo "开发模式运行..."
	@docker run --rm -it \
		-p 5000:5000 \
		-v $(PWD):/app \
		-e FLASK_ENV=development \
		-e FLASK_DEBUG=True \
		bigdatatool:latest

# 构建并推送到仓库(需要先登录Docker Hub)
publish: build
	@echo "推送镜像到Docker Hub..."
	@read -p "请输入Docker Hub用户名: " username && \
	docker tag bigdatatool:latest $$username/bigdatatool:latest && \
	docker tag bigdatatool:latest $$username/bigdatatool:2.0 && \
	docker push $$username/bigdatatool:latest && \
	docker push $$username/bigdatatool:2.0