.PHONY: help install test lint pipeline scrape train optimize predict bot clean

help:
	@echo "Fantabeto 26/27 Commands"
	@echo "========================"
	@echo "make install   - Install dependencies"
	@echo "make test      - Run test suite"
	@echo "make lint      - Run ruff linter"
	@echo "make scrape    - Scrape FBref data for 2024-26 seasons"
	@echo "make features  - Build feature datasets"
	@echo "make train     - Train ML models"
	@echo "make optimize  - Run auction + lineup optimization"
	@echo "make predict   - Generate matchday predictions"
	@echo "make pipeline  - Run full pipeline (scrape -> features -> train)"
	@echo "make bot       - Send Telegram briefing"
	@echo "make clean     - Remove generated data files"

install:
	pip install -r requirements.txt
	playwright install chromium

test:
	python -m pytest tests/ -v

lint:
	ruff check src/ tests/

scrape:
	python -c "from src.pipeline import Pipeline; p = Pipeline(); p.scrape_fbref(['2024-2025','2025-2026'], current=True)"

features:
	python -c "from src.pipeline import Pipeline; p = Pipeline(); p.build_features()"

train:
	python -c "import pandas as pd; from src.pipeline import Pipeline; p = Pipeline(); df = pd.read_excel('data/match_dataset.xlsx'); y = df['fantavote']; X = df.drop(columns=['fantavote','vote','matchday','player','team','oppteam'], errors='ignore'); p.train_models(X,y)"

predict:
	python -c "from src.pipeline import Pipeline; p = Pipeline(); p.run_full_pipeline()"

bot:
	python -c "from src.bot.telegram_bot import TelegramBot; from src.bot.briefing import BriefingGenerator; bot = TelegramBot(); gen = BriefingGenerator(); print('Bot ready. Use send_briefing() to dispatch.')"

pipeline: scrape features train

clean:
	rm -rf data/
	find . -type d -name __pycache__ -exec rm -rf {} +
	find . -type f -name "*.pyc" -delete