# Makefile for MCP Sentiment Analysis Server

# Variables
IMAGE_NAME = mcp-sentiment
CONTAINER_NAME = mcp-sentiment-container
PORT = 7860
DOCKER_REGISTRY = 
VERSION = latest

# Default target
.PHONY: help
help:
	@echo "MCP Sentiment Analysis Server - Development Commands"
	@echo "=================================================="
	@echo ""
	@echo "Development:"
	@echo "  install     Install Python dependencies locally"
	@echo "  run         Run the server locally (without Docker)"
	@echo "  test        Run tests locally"
	@echo ""
	@echo "Docker:"
	@echo "  build       Build Docker image"
	@echo "  run-docker  Run Docker container"
	@echo "  stop        Stop Docker container"
	@echo "  logs        Show Docker container logs"
	@echo "  shell       Open shell in running container"
	@echo ""
	@echo "Testing:"
	@echo "  test-docker Test Docker container"
	@echo "  test-all    Run all tests (local + Docker)"
	@echo ""
	@echo "Deployment:"
	@echo "  deploy-hf   Deploy to Hugging Face Spaces (interactive)"
	@echo ""
	@echo "Cleanup:"
	@echo "  clean       Remove Docker containers and images"
	@echo "  clean-all   Remove everything including volumes"

# Development targets
.PHONY: install
install:
	pip install -r requirements.txt

.PHONY: run
run:
	python app.py

.PHONY: test
test:
	python test_mcp_server.py

# Docker targets
.PHONY: build
build:
	docker build -t $(IMAGE_NAME):$(VERSION) .

.PHONY: run-docker
run-docker: build
	docker run -d \
		--name $(CONTAINER_NAME) \
		-p $(PORT):7860 \
		$(IMAGE_NAME):$(VERSION)
	@echo "Container started. Access at http://localhost:$(PORT)"
	@echo "MCP endpoint: http://localhost:$(PORT)/gradio_api/mcp/sse"

.PHONY: stop
stop:
	-docker stop $(CONTAINER_NAME)
	-docker rm $(CONTAINER_NAME)

.PHONY: logs
logs:
	docker logs -f $(CONTAINER_NAME)

.PHONY: shell
shell:
	docker exec -it $(CONTAINER_NAME) /bin/bash

# Testing targets
.PHONY: test-docker
test-docker:
	python test_mcp_server.py --server --wait

.PHONY: test-all
test-all: test test-docker

# Deployment targets
.PHONY: deploy-hf
deploy-hf:
	@echo "Deploying to Hugging Face Spaces..."
	@read -p "Enter your HF username: " username; \
	read -p "Enter space name: " space_name; \
	python deploy_to_hf.py $$space_name $$username

# Docker Compose targets
.PHONY: up
up:
	docker-compose up -d

.PHONY: down
down:
	docker-compose down

.PHONY: restart
restart: down up

# Cleanup targets
.PHONY: clean
clean: stop
	-docker rmi $(IMAGE_NAME):$(VERSION)
	-docker system prune -f

.PHONY: clean-all
clean-all: clean
	-docker volume prune -f
	-docker network prune -f

# Development workflow
.PHONY: dev
dev: install test build test-docker
	@echo "Development setup complete!"

# Production workflow
.PHONY: prod
prod: clean build test-docker
	@echo "Production build complete!"

# Quick start
.PHONY: quick-start
quick-start: build run-docker
	@echo "Quick start complete!"
	@echo "Waiting for server to be ready..."
	@sleep 5
	@python test_mcp_server.py --server --url=http://localhost:$(PORT)

# Health check
.PHONY: health
health:
	@curl -f http://localhost:$(PORT)/ || echo "Server not responding"

# Show running containers
.PHONY: ps
ps:
	docker ps --filter "name=$(CONTAINER_NAME)"

# Show image info
.PHONY: info
info:
	@echo "Image: $(IMAGE_NAME):$(VERSION)"
	@echo "Container: $(CONTAINER_NAME)"
	@echo "Port: $(PORT)"
	@docker images $(IMAGE_NAME) || echo "Image not built yet"