# CI for the GitHub mirror (create the mirror per RUNBOOK.md; this workflow
# activates the moment the repo exists). Runs the offline test suite and the
# curated-dataset schema validation on every push -- the cheap failures that
# should never reach the production Space. The full retrieval eval needs the
# ONNX models and LFS embeddings, so it stays a manual/scheduled job.
name: tests
on:
  push:
    branches: [main]
  pull_request:
  workflow_dispatch:

jobs:
  offline-tests:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
        with:
          lfs: false          # tests are offline; embeddings not needed
      - uses: actions/setup-python@v5
        with:
          python-version: "3.12"
      # The pinned set the Space builds with: the suite imports numpy,
      # onnxruntime, huggingface_hub and tokenizers at collection time
      # (test_embed, test_calllog), so a shorter list errors 25 tests before
      # they run. No model is downloaded by any test (2026-09-21 audit).
      - name: Install the pinned dependencies (no model downloads)
        run: pip install -r requirements.txt
      - name: Offline test suite
        run: python -m unittest discover -s tests -v