# Unit Testing Guide

This guide explains how the project's unit tests are organized, how to run them (with and without markers), how coverage is generated, and tips for writing effective tests.

## Why unit tests?

- Fast feedback without hardware
- Validate contracts (config loader, frames, adapters, flashing scaffold)
- Keep behavior stable as the framework evolves

## Test layout

- `tests/unit/` — pure unit tests (no hardware, no external I/O)
  - `test_config_loader.py` — config precedence and defaults
  - `test_linframe.py` — `LinFrame` validation
  - `test_babylin_adapter_mocked.py` — BabyLIN adapter error paths with a mocked SDK wrapper
  - `test_hex_flasher.py` — flashing scaffold against a stub LIN interface
- `tests/plugin/` — plugin self-tests using `pytester`
  - `test_conftest_plugin_artifacts.py` — verifies JSON coverage and summary artifacts
- `tests/` — existing smoke/mock/hardware tests

## Markers and selection

A `unit` marker is provided for easy selection:

- By marker (recommended):

```powershell
pytest -m unit -q
```

- By path:

```powershell
pytest tests\unit -q
```

- Exclude hardware:

```powershell
pytest -m "not hardware" -v
```

## Coverage

Coverage is enabled by default via `pytest.ini` addopts:

- `--cov=ecu_framework --cov-report=term-missing`

You’ll see a summary with missing lines directly in the terminal. To disable coverage locally, override addopts on the command line:

```powershell
pytest -q -o addopts=""
```

(Optional) To produce an HTML coverage report, you can add `--cov-report=html` and open `htmlcov/index.html`.

## Writing unit tests

- Prefer small, focused tests
- For BabyLIN adapter logic, inject `wrapper_module` with the mock:

```python
from ecu_framework.lin.babylin import BabyLinInterface
from vendor import mock_babylin_wrapper as mock_bl

lin = BabyLinInterface(wrapper_module=mock_bl)
lin.connect()
# exercise send/receive/request
```

- To simulate specific SDK signatures, use a thin shim (see `_MockBytesOnly` in `tests/test_babylin_wrapper_mock.py`).
- Include a docstring with Title/Description/Requirements/Steps/Expected Result so the reporting plugin can extract metadata (this also helps the HTML report).
- When testing the plugin itself, use the `pytester` fixture to generate a temporary test run and validate artifacts exist and contain expected entries.

## Typical commands (Windows PowerShell)

- Run unit tests with coverage:

```powershell
pytest -m unit -q
```

- Run only plugin self-tests:

```powershell
pytest tests\plugin -q
```

- Run the specific plugin artifact test (verifies HTML/JUnit, summary, and coverage JSON under `reports/`):

```powershell
python -m pytest tests\plugin\test_conftest_plugin_artifacts.py -q
```

- Run all non-hardware tests with verbose output:

```powershell
pytest -m "not hardware" -v
```

- Open the HTML report:

```powershell
start .\reports\report.html
```

- Generate two separate reports (unit vs non-unit):

```powershell
./scripts/run_two_reports.ps1
```

## CI suggestions

- Run `-m unit` and `tests/plugin` on every PR
- Optionally run mock integration/smoke on PR
- Run hardware test matrix on a nightly or on-demand basis (`-m "hardware and babylin"`)
- Publish artifacts from `reports/`: HTML/JUnit/coverage JSON/summary MD

## Troubleshooting

- Coverage not showing: ensure `pytest-cov` is installed (see `requirements.txt`) and `pytest.ini` addopts include `--cov`.
- Import errors: activate the venv and reinstall requirements.
- Plugin artifacts missing under `pytester`: verify tests write to `reports/` (our plugin creates the folder automatically in `pytest_configure`).
