name: "Weekly Journalistic Summary (GitHub Model)"

on:
  workflow_dispatch:
  push:
  schedule:
    - cron: '0 9 * * MON'

jobs:
  summarize-commits:
    runs-on: ubuntu-latest
    permissions:
      contents: read
      actions: read

    steps:
      - name: Checkout armbian/build
        uses: actions/checkout@v4
        with:
          repository: armbian/build
          fetch-depth: 0
          token: ${{ secrets.GITHUB_TOKEN }}

      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: '3.10'

      - name: Install OpenAI SDK
        run: pip install 'openai>=1.0.0'

      - name: Generate summary using GitHub model
        env:
          GITHUB_TOKEN: ${{ secrets.AI_MODELS }}
        run: |
          python3 << 'EOF'
          import os
          import subprocess
          import datetime
          from openai import OpenAI

          token = os.environ["GITHUB_TOKEN"]
          endpoint = "https://models.github.ai/inference"
          model = "openai/gpt-4.1"

          client = OpenAI(
              base_url=endpoint,
              api_key=token,
          )

          # Get commits from the last week, excluding 'automatic'
          today = datetime.date.today()
          last_week = today - datetime.timedelta(days=7)
          result = subprocess.run(
              ["git", "log", f"--since={last_week.isoformat()}", "--pretty=format:%h %s (%an)"],
              capture_output=True,
              text=True
          )
          commits = [line for line in result.stdout.splitlines() if "automatic" not in line.lower()]

          if not commits:
              print("No relevant commits found.")
              exit(0)

          # Prompt
          prompt = (
              "Write a journalistic-style weekly summary from these Git commit messages:\n\n" +
              "\n".join(commits) +
              "\n\nSkip trivial or automated changes. Emphasize noteworthy improvements or technical decisions. Format in Markdown."
          )

          response = client.chat.completions.create(
              model=model,
              messages=[
                  {"role": "system", "content": "You are a helpful assistant."},
                  {"role": "user", "content": prompt}
              ],
              temperature=0.7,
              top_p=1.0
          )

          article = response.choices[0].message.content
          with open("weekly-summary.md", "w") as f:
              f.write(article)
          EOF

      - name: Upload Markdown summary
        uses: actions/upload-artifact@v4
        with:
          name: weekly-summary
          path: weekly-summary.md