name: Fantabeto Weekly Pipeline

on:
  schedule:
    - cron: '0 18 * * 5'   # Friday 18:00 UTC = 20:00 CET
    - cron: '0 8 * * 0'    # Sunday 08:00 UTC = 10:00 CET
  workflow_dispatch:        # Manual trigger

jobs:
  run-pipeline:
    runs-on: ubuntu-latest
    timeout-minutes: 60

    steps:
      - name: Checkout repository
        uses: actions/checkout@v4

      - name: Set up Python 3.11
        uses: actions/setup-python@v5
        with:
          python-version: '3.11'

      - name: Cache pip packages
        uses: actions/cache@v4
        with:
          path: ~/.cache/pip
          key: ${{ runner.os }}-pip-${{ hashFiles('requirements.txt') }}
          restore-keys: |
            ${{ runner.os }}-pip-

      - name: Install dependencies
        run: |
          pip install --upgrade pip
          pip install -r requirements.txt

      - name: Run tests
        run: python -m pytest tests/ -v --tb=short

      - name: Scrape latest data
        run: |
          python -c "
          from src.scraper.fbref_scraper import scrape_current_season
          scrape_current_season('data/fbref')
          "
        env:
          FANTACALCIO_TOKEN: ${{ secrets.FANTACALCIO_TOKEN }}
          RAPIDAPI_KEY: ${{ secrets.RAPIDAPI_KEY }}

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

      - name: Run predictions
        run: |
          mkdir -p data/predictions
          python -c "
          import pandas as pd
          from src.pipeline import Pipeline
          p = Pipeline()
          df = pd.read_excel('data/match_dataset.xlsx')
          model = p.train_models(df.drop(columns=['fantavote','vote'], errors='ignore'), df['fantavote'])
          "

      - name: Send Telegram briefing
        env:
          TELEGRAM_BOT_TOKEN: ${{ secrets.TELEGRAM_BOT_TOKEN }}
          TELEGRAM_CHAT_ID: ${{ secrets.TELEGRAM_CHAT_ID }}
        run: |
          python -c "
          from src.bot.telegram_bot import TelegramBot
          from src.bot.briefing import BriefingGenerator
          bot = TelegramBot()
          gen = BriefingGenerator()
          bot.send_briefing('Fantabeto 26/27 weekly pipeline completed. Predictions ready.')
          "

      - name: Upload predictions artifact
        uses: actions/upload-artifact@v4
        with:
          name: predictions
          path: data/predictions/