GHCI Python Starter (FastAPI + pytest)

This is a tiny sample repo for Session 1: AI‑Assisted GitHub & CI.

What’s here

• app/main.py: a minimal FastAPI app with a /health endpoint
• tests/test_health.py: a basic test that asserts /health returns {"status":"ok", ...}
• .github/workflows/ci.yml: GitHub Actions to run tests on push and pull_request
• .github/pull_request_template.md: a simple template for quality PRs

Run locally (optional)

python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
uvicorn app.main:app --reload
# in another terminal
pytest -q

Micro‑exercise A (Green PR in ~7 minutes)

1. Edit README.md → add one helpful line under “Run locally”.
2. In the commit box, select Create a new branch named docs/add-test-instructions.
3. Propose changes → Create pull request.
4. Wait for ✅ CI checks, then paste an AI‑drafted PR description (What/Why/How/Tests) and submit.

Micro‑exercise B (Explain a failing run)

Use the instructor‑seeded failing PR (separate repo or branch). Open the failing check, copy the error snippet, ask AI to explain it simply, and post a comment with root cause + smallest fix.

Notes

• Keep PRs small and focused.
• Use AI for drafting and explanations, but you verify commands and code.