1. Run all tests (excluding those requiring real DBs, see item 3):

   uv run pytest

   
   **Useful Flags:**
   - `-v` (verbose): Shows more detailed output, including each test name as it runs.
   - `-s` (no capture): Allows stdout (print statements) to show in the console. Useful for debugging.
   
   Example with flags:
   ```bash
   uv run pytest -v -s
   

   Note: Some tests require external databases (PostgreSQL, MySQL) and will be skipped if the corresponding environment variables (POSTGRES_TEST_DSN, MYSQL_TEST_DSN) are not set.

2. Run specific tests:

   # Run a specific test file
   uv run pytest tests/client/test_client_factory.py
   
   # Run a specific test function
   uv run pytest tests/client/test_client_factory.py::test_client_factory_connect_with_url
   
   # Run tests in a specific folder
   uv run pytest tests/client/

3. Run database integration tests (requires Docker):

   ./scripts/run_db_tests.sh

   This script will:

   • Start PostgreSQL and MySQL containers using Docker Compose.
   • Run the database integration tests.
   • Stop the containers after tests finish.

   You can also run tests for a specific database:

   ./scripts/run_db_tests.sh --postgres
   # or
   ./scripts/run_db_tests.sh --mysql

   To keep the databases running for debugging:

   ./scripts/run_db_tests.sh --debug

   (Follow the onscreen instructions to export DSNs and run pytest manually).

In case of failures, you can clean up the cache:

1. uv clean
2. rm -fR .pytest_cache .venv __pycache__