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pytest Test Framework

Execute and generate pytest tests for Python projects with fixtures, parametrization, and mocking support

$ インストール

git clone https://github.com/FortiumPartners/ai-mesh /tmp/ai-mesh && cp -r /tmp/ai-mesh/skills/pytest-test ~/.claude/skills/ai-mesh

// tip: Run this command in your terminal to install the skill


name: pytest Test Framework description: Execute and generate pytest tests for Python projects with fixtures, parametrization, and mocking support version: 1.0.0

pytest Test Framework

Purpose

Provide pytest test execution and generation for Python projects, supporting:

  • Test file generation from templates
  • Test execution with structured output
  • Fixtures and parametrized tests
  • Mock and monkeypatch support

Usage

Generate Test File

python generate-test.py \
  --source src/calculator.py \
  --output tests/test_calculator.py \
  --type unit \
  --description "Calculator fails to handle division by zero"

Execute Tests

python run-test.py \
  --file tests/test_calculator.py \
  --config pytest.ini

Output Format

Test Generation

{
  "success": true,
  "testFile": "tests/test_calculator.py",
  "testCount": 3,
  "template": "unit-test"
}

Test Execution

{
  "success": false,
  "passed": 2,
  "failed": 1,
  "total": 3,
  "duration": 0.234,
  "failures": [
    {
      "test": "test_divide_by_zero",
      "error": "AssertionError: Expected ZeroDivisionError",
      "file": "tests/test_calculator.py",
      "line": 15
    }
  ]
}

Integration

Used by deep-debugger for Python project testing:

  1. Invoke test-detector to identify pytest
  2. Invoke generate-test.py to create failing test
  3. Invoke run-test.py to validate test fails
  4. Re-run after fix to verify passing