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my-pal-mcp-server/docs/testing.md
Fahad e0a05b86f1 Add encouraging message about powerful models to schema in case it's not on Opus 4 or above
OPENROUTER_ALLOWED_MODELS environment variable support to further limit the models to allow from within Claude. This will put a limit on top of even the ones listed in custom_models.json
2025-06-14 11:34:17 +04:00

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# Testing Guide
This project includes comprehensive test coverage through unit tests and integration simulator tests.
## Running Tests
### Prerequisites
- Python virtual environment activated: `source venv/bin/activate`
- All dependencies installed: `pip install -r requirements.txt`
- Docker containers running (for simulator tests): `./run-server.sh`
### Unit Tests
Run all unit tests with pytest:
```bash
# Run all tests with verbose output
python -m pytest -xvs
# Run specific test file
python -m pytest tests/test_providers.py -xvs
```
### Simulator Tests
Simulator tests replicate real-world Claude CLI interactions with the MCP server running in Docker. Unlike unit tests that test isolated functions, simulator tests validate the complete end-to-end flow including:
- Actual MCP protocol communication
- Docker container interactions
- Multi-turn conversations across tools
- Log output validation
**Important**: Simulator tests require `LOG_LEVEL=DEBUG` in your `.env` file to validate detailed execution logs.
#### Running All Simulator Tests
```bash
# Run all simulator tests
python communication_simulator_test.py
# Run with verbose output for debugging
python communication_simulator_test.py --verbose
# Keep Docker logs after tests for inspection
python communication_simulator_test.py --keep-logs
```
#### Running Individual Tests
To run a single simulator test in isolation (useful for debugging or test development):
```bash
# Run a specific test by name
python communication_simulator_test.py --individual basic_conversation
# Examples of available tests:
python communication_simulator_test.py --individual content_validation
python communication_simulator_test.py --individual cross_tool_continuation
python communication_simulator_test.py --individual redis_validation
```
#### Other Options
```bash
# List all available simulator tests with descriptions
python communication_simulator_test.py --list-tests
# Run multiple specific tests (not all)
python communication_simulator_test.py --tests basic_conversation content_validation
# Force Docker environment rebuild before running tests
python communication_simulator_test.py --rebuild
```
### Code Quality Checks
Before committing, ensure all linting passes:
```bash
# Run all linting checks
ruff check .
black --check .
isort --check-only .
# Auto-fix issues
ruff check . --fix
black .
isort .
```
## What Each Test Suite Covers
### Unit Tests
Test isolated components and functions:
- **Provider functionality**: Model initialization, API interactions, capability checks
- **Tool operations**: All MCP tools (chat, analyze, debug, etc.)
- **Conversation memory**: Threading, continuation, history management
- **File handling**: Path validation, token limits, deduplication
- **Auto mode**: Model selection logic and fallback behavior
### Simulator Tests
Validate real-world usage scenarios by simulating actual Claude prompts:
- **Basic conversations**: Multi-turn chat functionality with real prompts
- **Cross-tool continuation**: Context preservation across different tools
- **File deduplication**: Efficient handling of repeated file references
- **Model selection**: Proper routing to configured providers
- **Token allocation**: Context window management in practice
- **Redis validation**: Conversation persistence and retrieval
## Contributing: Test Requirements
When contributing to this project:
1. **New features MUST include tests**:
- Add unit tests in `tests/` for new functions or classes
- Test both success and error cases
2. **Tool changes require simulator tests**:
- Add simulator tests in `simulator_tests/` for new or modified tools
- Use realistic prompts that demonstrate the feature
- Validate output through Docker logs
3. **Test naming conventions**:
- Unit tests: `test_<feature>_<scenario>.py`
- Simulator tests: `test_<tool>_<behavior>.py`
4. **Before submitting PR**:
- Run all unit tests: `python -m pytest -xvs`
- Run relevant simulator tests
- Ensure all linting passes
Remember: Tests are documentation. They show how features are intended to be used and help prevent regressions.