Makefile

# Makefile for Image Classifier Project

.PHONY: help install test train predict clean setup sample-data

# Default target
help:
	@echo "Image Classifier Project - Available Commands:"
	@echo ""
	@echo "Setup:"
	@echo "  setup          - Install dependencies and setup environment"
	@echo "  install        - Install Python dependencies"
	@echo "  sample-data    - Create sample dataset for testing"
	@echo ""
	@echo "Development:"
	@echo "  test           - Run all tests"
	@echo "  test-unit      - Run unit tests only"
	@echo "  lint           - Run code linting"
	@echo ""
	@echo "Training:"
	@echo "  train          - Train model with default settings"
	@echo "  train-sample   - Train model with sample data"
	@echo "  train-custom   - Train model with custom parameters"
	@echo ""
	@echo "Prediction:"
	@echo "  predict        - Run prediction on sample image"
	@echo ""
	@echo "Maintenance:"
	@echo "  clean          - Clean generated files"
	@echo "  clean-models   - Remove saved models"
	@echo "  clean-data     - Remove sample data"

# Setup commands
setup: install sample-data
	@echo "Project setup complete!"

install:
	@echo "Installing dependencies..."
	pip install -r requirements.txt
	@echo "Dependencies installed successfully!"

sample-data:
	@echo "Creating sample dataset..."
	python -c "from src.utils import create_sample_dataset; create_sample_dataset('data', num_samples=20)"
	@echo "Sample dataset created in data/ directory"

# Development commands
test: test-unit
	@echo "All tests completed!"

test-unit:
	@echo "Running unit tests..."
	python -m pytest tests/ -v

lint:
	@echo "Running code linting..."
	flake8 src/ tests/ examples/ --max-line-length=100 --ignore=E203,W503
	@echo "Linting completed!"

# Training commands
train:
	@echo "Training model with default settings..."
	python scripts/run_training.py --create-sample --num-samples 50

train-sample:
	@echo "Training model with sample data..."
	python scripts/run_training.py --create-sample --num-samples 20 --epochs 10

train-custom:
	@echo "Training model with custom parameters..."
	python scripts/run_training.py --create-sample --epochs 30 --batch-size 16 --patience 5

# Prediction commands
predict:
	@echo "Running prediction on sample image..."
	python examples/predict_image.py

# Maintenance commands
clean:
	@echo "Cleaning generated files..."
	rm -rf __pycache__/
	rm -rf src/__pycache__/
	rm -rf tests/__pycache__/
	rm -rf examples/__pycache__/
	rm -f *.log
	rm -f training_*.png
	rm -f training_*.json
	rm -f model_summary.txt
	@echo "Cleanup completed!"

clean-models:
	@echo "Removing saved models..."
	rm -rf models/
	@echo "Models removed!"

clean-data:
	@echo "Removing sample data..."
	rm -rf data/
	@echo "Sample data removed!"

# Quick start for new users
quick-start: setup train predict
	@echo "Quick start completed! Check the results above."

# Development workflow
dev-setup: install sample-data test
	@echo "Development environment ready!"

# Production setup
prod-setup: install test
	@echo "Production environment ready!"

# Help for specific commands
help-train:
	@echo "Training Options:"
	@echo "  make train          - Default training (50 samples, 20 epochs)"
	@echo "  make train-sample   - Quick training (20 samples, 10 epochs)"
	@echo "  make train-custom   - Custom training (30 epochs, batch size 16)"
	@echo ""
	@echo "Custom training parameters:"
	@echo "  python scripts/run_training.py --help"

help-predict:
	@echo "Prediction Options:"
	@echo "  make predict        - Predict on sample image"
	@echo "  python examples/predict_image.py  - Interactive prediction"
	@echo ""
	@echo "For custom predictions, modify examples/predict_image.py"

# Documentation
docs:
	@echo "Generating documentation..."
	python -c "import src.image_classifier; help(src.image_classifier.ImageClassifier)"
	@echo "Documentation generated!"

# Performance testing
benchmark:
	@echo "Running performance benchmark..."
	python -c "from src.utils import check_gpu_availability; check_gpu_availability()"
	@echo "Benchmark completed!"

# Full project validation
validate: test lint
	@echo "Project validation completed!"

# Release preparation
release: clean test lint
	@echo "Release preparation completed!"
	@echo "Ready for deployment!"

# Docker support (if needed)
docker-build:
	@echo "Building Docker image..."
	docker build -t image-classifier .

docker-run:
	@echo "Running Docker container..."
	docker run -it --rm -v $(PWD):/app image-classifier

# Windows-specific commands
windows-setup:
	@echo "Setting up for Windows..."
	python -m venv venv
	venv\Scripts\activate
	pip install -r requirements.txt
	@echo "Windows setup completed!"

# macOS/Linux-specific commands
unix-setup:
	@echo "Setting up for Unix-like systems..."
	python3 -m venv venv
	source venv/bin/activate
	pip install -r requirements.txt
	@echo "Unix setup completed!"