name: AI review (issues)

on:
  issues:
    types: [opened]

jobs:
  find-duplicates:
    if: github.event.action == 'opened'
    runs-on: [self-hosted, opencode]

    permissions:
      contents: read
      issues: write

    steps:
      - name: Checkout repository
        uses: actions/checkout@v6
        with:
          fetch-depth: 1

      - name: Find duplicates
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
          OPENCODE_PERMISSION: |
            {
              "bash": {
                "*": "deny",
                "gh issue*": "allow"
              },
              "webfetch": "deny"
            }
        run: |
          opencode run -m llama.cpp-dgx/gpt-oss-120b-hf-low "A new issue has been created:

          Issue number: ${{ github.event.issue.number }}

          Lookup this issue with gh issue view ${{ github.event.issue.number }}.

          Perform the following task and then post a SINGLE comment (if needed).

          ---

          TASK : DUPLICATE CHECK

          Search through existing issues (excluding #${{ github.event.issue.number }}) to find potential duplicates.
          Consider:
          1. Similar titles or descriptions
          2. Same error messages or symptoms
          3. Related functionality or components
          4. Similar feature requests

          ---

          POSTING YOUR COMMENT:

          Based on your findings, post a SINGLE comment on issue #${{ github.event.issue.number }}. Build the comment as follows:

          If no duplicates were found, do NOT comment at all.

          If duplicates were found, include a section about potential duplicates with links using the following format:

          [comment]
          This issue might be a duplicate of:
          - #[issue_number]: [brief description of similarity]

          _This comment was auto-generated locally using **$GA_ENGINE** on **$GA_MACHINE**_
          [/comment]

          Remember: Do not include the comment tags in your actual comment. Post at most ONE comment combining all findings. If everything is fine, post nothing.
          "