name: Improve Review PR Skill

# Daily outer loop over automated code review:
# 1. Collect human reactions to review-pr comments from the last day
# 2. Run an Oz agent with the improve-review-pr skill
# 3. If durable organizational knowledge is found, open a PR updating the review skill
#
# Setup:
# - WARP_API_KEY repository secret must be set
# - Repository settings must allow GitHub Actions to create pull requests

on:
  schedule:
    # 13:00 UTC daily
    - cron: "0 13 * * *"
  workflow_dispatch:
    inputs:
      since_hours:
        description: "How many hours of review feedback to inspect"
        required: false
        default: "24"

concurrency:
  group: improve-review-pr
  cancel-in-progress: false

jobs:
  improve:
    name: Improve review-pr from human feedback
    runs-on: ubuntu-latest
    permissions:
      contents: write
      pull-requests: write
      issues: read
    steps:
      - name: Checkout default branch
        uses: actions/checkout@v4
        with:
          fetch-depth: 0

      - name: Collect review feedback corpus
        id: collect
        env:
          GH_TOKEN: ${{ github.token }}
          REPO: ${{ github.repository }}
          SINCE_HOURS: ${{ github.event.inputs.since_hours || '24' }}
        run: |
          set -euo pipefail

          python3 .agents/skills/improve-review-pr/scripts/collect_review_feedback.py \
            --repo "${REPO}" \
            --since-hours "${SINCE_HOURS}" \
            --output feedback_corpus.json

          echo "summary<<EOF" >> "$GITHUB_OUTPUT"
          python3 - <<'PY' >> "$GITHUB_OUTPUT"
          import json
          from pathlib import Path
          data = json.loads(Path("feedback_corpus.json").read_text(encoding="utf-8"))
          summary = data.get("summary") or {}
          print(
              f"PRs inspected: {summary.get('prs_inspected', 0)}; "
              f"validated={summary.get('validated', 0)}, "
              f"corrected={summary.get('corrected', 0)}, "
              f"refined={summary.get('refined', 0)}, "
              f"ambiguous={summary.get('ambiguous', 0)}"
          )
          PY
          echo "EOF" >> "$GITHUB_OUTPUT"

      - name: Upload feedback corpus
        uses: actions/upload-artifact@v4
        with:
          name: review-feedback-corpus
          path: feedback_corpus.json
          if-no-files-found: error

      - name: Improve review skill with Oz agent
        uses: warpdotdev/oz-agent-action@v1
        env:
          GH_TOKEN: ${{ github.token }}
        with:
          skill: improve-review-pr
          name: "Improve review-pr from last-day feedback"
          prompt: |
            Use the Improve Review PR skill to run the daily outer loop over automated code-review feedback.

            First read `.agents/skills/improve-review-pr/SKILL.md`, then follow it exactly.

            - Repository: ${{ github.repository }}
            - Lookback window: ${{ github.event.inputs.since_hours || '24' }} hours
            - Feedback corpus already prepared at `feedback_corpus.json`
            - Feedback summary: ${{ steps.collect.outputs.summary }}

            Analyze the corpus, synthesize durable organizational knowledge, and only if warranted:
            update `.agents/skills/review-pr/SKILL.md` and/or create/update
            `.agents/skills/review-pr-local/SKILL.md`, then open a pull request with those skill changes.

            Do not change product code. Do not open a PR if there is no durable learning.
            End with the report format required by the skill.
          warp_api_key: ${{ secrets.WARP_API_KEY }}
          profile: ${{ vars.WARP_AGENT_PROFILE || '' }}