api-test-generator

MikoPBX API Test Generating

Generate comprehensive Python pytest tests for MikoPBX REST API endpoints with full parameter coverage, schema validation, and edge case testing.

What This Skill Does

Analyzes DataStructure.php files and generates complete pytest test suites including:

• ✅ CRUD operation tests (Create, Read, Update, Delete)
• ✅ Positive and negative test cases
• ✅ Parameter validation tests
• ✅ Edge cases and boundary conditions
• ✅ Schema validation tests
• ✅ Proper fixtures and authentication
• ✅ Detailed assertions with error messages

When to Use This Skill

Use this skill when you need to:

• Create pytest tests for new REST API endpoints
• Add comprehensive test coverage for existing endpoints
• Generate tests covering all parameter combinations
• Add schema validation tests for API responses
• Create edge case and negative tests
• Ensure API compliance with OpenAPI specification

Quick Start

Basic Usage

When the user requests test generation:

1. Identify the endpoint
2. API path (e.g., /pbxcore/api/v3/extensions)
3. HTTP methods (GET, POST, PUT, DELETE, PATCH)
4. Resource name (e.g., Extensions)

1. Locate DataStructure.php

``bash find /Users/nb/PhpstormProjects/mikopbx/Core/src/PBXCoreREST/Lib -name "DataStructure.php" | grep -i "{resource}" ``

1. Analyze parameter definitions

Extract from DataStructure.php:

• Required vs optional parameters
• Data types and validation rules
• Default values
• Enum values
• Pattern constraints (regex)
• Min/max values

1. Generate test file

Use the complete template from [test-template.py](templates/test-template.py)

1. Customize for endpoint
2. Replace {ResourceName} placeholders
3. Fill in actual payload structures
4. Add specific field validations
5. Include enum and pattern validations

Test Structure

File Organization

tests/api/
├── test_{resource}_api.py        # Main test file
└── conftest.py                   # Shared fixtures

Test Class Structure

Each test file should have these test classes:

class TestCreate{ResourceName}:
    """Test POST endpoint for creating resources"""
    - test_create_with_valid_data()
    - test_create_missing_required_field()
    - test_create_with_invalid_type()

class TestGet{ResourceName}:
    """Test GET endpoint for retrieving resources"""
    - test_get_all()
    - test_get_by_id()
    - test_get_nonexistent()

class TestUpdate{ResourceName}:
    """Test PUT/PATCH endpoints for updating resources"""
    - test_update_with_valid_data()
    - test_patch_partial_update()

class TestDelete{ResourceName}:
    """Test DELETE endpoint for removing resources"""
    - test_delete_existing()
    - test_delete_nonexistent()

class TestSchemaValidation{ResourceName}:
    """Test response schema validation"""
    - test_response_matches_openapi_schema()

class TestEdgeCases{ResourceName}:
    """Test edge cases and boundary conditions"""
    - test_special_characters_in_fields()
    - test_empty_string_values()
    - test_boundary_values()

Standard Fixtures

@pytest.fixture
def auth_token():
    """Get authentication token"""
    response = requests.post(
        f"{BASE_URL}/pbxcore/api/v3/auth/login",
        json={"login": "admin", "password": "123456789MikoPBX#1"},
        verify=False
    )
    return response.json()["data"]["access_token"]

@pytest.fixture
def headers(auth_token):
    """Standard headers with authentication"""
    return {
        "Authorization": f"Bearer {auth_token}",
        "Content-Type": "application/json"
    }

Common Test Patterns

1. Create with Valid Data

def test_create_with_valid_data(self, headers):
    """Test creating a resource with all valid required parameters"""
    payload = {
        # Based on DataStructure.php
    }

    response = requests.post(
        f"{BASE_URL}{API_PATH}",
        json=payload,
        headers=headers,
        verify=False
    )

    assert response.status_code == 200, f"Expected 200, got {response.status_code}: {response.text}"
    data = response.json()
    assert "data" in data
    assert "id" in data["data"]

    # Validate returned values match input
    for key, value in payload.items():
        assert data["data"][key] == value

2. Validation Tests

def test_create_missing_required_field(self, headers):
    """Test validation when required field is missing"""
    payload = {
        # Missing required field
    }

    response = requests.post(
        f"{BASE_URL}{API_PATH}",
        json=payload,
        headers=headers,
        verify=False
    )

    assert response.status_code == 400
    assert "messages" in response.json()

3. Edge Cases

def test_special_characters_in_fields(self, headers):
    """Test handling of special characters"""
    special_chars = "Test <script>alert('xss')</script> & \"quotes\""
    payload = {
        "string_field": special_chars,
    }

    response = requests.post(...)
    assert response.status_code == 200
    assert response.json()["data"]["string_field"] == special_chars

DataStructure Analysis

When analyzing DataStructure.php, extract these key elements:

Parameter Structure

public static function getParameterDefinitions(): array
{
    return [
        'request' => [
            'POST' => [
                'parameter_name' => [
                    'type' => 'string',              // Extract type
                    'description' => 'Description',  // Extract description
                    'example' => 'value',            // Use for test data
                    'required' => true,              // Required vs optional
                    'default' => 'default_value',    // Default value
                    'enum' => ['val1', 'val2'],      // Valid enum values
                    'pattern' => '^[a-z]+$',         // Regex pattern
                    'minLength' => 1,                // Min length
                    'maxLength' => 100,              // Max length
                ],
            ],
        ],
    ];
}

Use This Data To

1. Generate valid payloads - Use example and default values
2. Test required fields - Create tests omitting each required field
3. Test data types - Create tests with wrong types
4. Test enums - Create tests for each enum value and invalid values
5. Test patterns - Create tests for valid/invalid patterns
6. Test boundaries - Create tests for min/max values

Test Documentation Template

Add to the top of each test file:

"""
Tests for {ResourceName} API endpoint

API Endpoint: /pbxcore/api/v3/{resource-path}
DataStructure: src/PBXCoreREST/Lib/{ResourceName}/DataStructure.php

Test Coverage:
- CRUD operations (Create, Read, Update, Delete)
- Required vs optional parameters
- Data type validations
- Enum value validations
- Pattern validations (regex)
- Boundary conditions (min/max values)
- Special characters and edge cases
- Schema validation (when SCHEMA_VALIDATION_STRICT=1)

Requirements:
- pytest
- requests
- Docker container running with MikoPBX

Run tests:
    pytest tests/api/test_{resource_name}.py -v

Run with schema validation:
    # Ensure SCHEMA_VALIDATION_STRICT=1 is set in container
    pytest tests/api/test_{resource_name}.py -v
"""

Output Format

Always generate:

1. ✅ Complete pytest file - Runnable without modifications
2. ✅ Documentation block - Clear description at the top
3. ✅ All test classes - CRUD, schema validation, edge cases
4. ✅ Proper fixtures - Authentication and headers
5. ✅ Clear assertions - With descriptive error messages
6. ✅ Comments - Explaining complex validations

Running Tests

Basic Execution

# Run all API tests
pytest tests/api/ -v

# Run specific endpoint tests
pytest tests/api/test_extensions_api.py -v

# Run specific test class
pytest tests/api/test_extension