S3 — Generate Tests for

$ARGUMENTS

Generate a comprehensive pytest test suite for the module at

$ARGUMENTS

Project Test Configuration

!`cat pyproject.toml | grep -A 15 '\[tool.pytest'`

Existing Test Files

!`ls tests/`

Instructions

1. Read the target module at

   $ARGUMENTS

   to understand its public API
2. Generate tests following these patterns:

Test Structure (AAA Pattern)

class TestFunctionName:
    def test_happy_path(self):
        # Arrange
        input_data = ...
        # Act
        result = function_name(input_data)
        # Assert
        assert result == expected

    def test_edge_case(self):
        ...

    def test_error_case(self):
        with pytest.raises(ValueError):
            function_name(bad_input)

Requirements

• One

  class

  per public function, named

  TestFunctionName

• Use

  @pytest.fixture

  for shared setup (especially clearing in-memory stores)
• Use

  @pytest.mark.parametrize

  for input variants
• Test happy path, edge cases, and error cases
• Use

  autouse=True

  fixtures for store cleanup
• Match the naming and style of existing tests in

  tests/

3. Write the test file to

   tests/test_<module_name>.py

4. Run the tests to verify they pass