api-test-generator
This Claude Code skill generates comprehensive Python pytest test suites for MikoPBX REST API endpoints by analyzing DataStructure.php files to extract parameter definitions, validation rules, and data types. Use it when creating new test coverage for REST API endpoints, adding tests for CRUD operations, validating API responses against OpenAPI schemas, or ensuring comprehensive edge case and negative test scenario coverage.
git clone --depth 1 https://github.com/Microck/ordinary-claude-skills /tmp/api-test-generator && cp -r /tmp/api-test-generator/skills_all/api-test-generator ~/.claude/skills/api-test-generatorSKILL.md
# 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**
- API path (e.g., `/pbxcore/api/v3/extensions`)
- HTTP methods (GET, POST, PUT, DELETE, PATCH)
- Resource name (e.g., Extensions)
2. **Locate DataStructure.php**
```bash
find /Users/nb/PhpstormProjects/mikopbx/Core/src/PBXCoreREST/Lib -name "DataStructure.php" | grep -i "{resource}"
```
3. **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
4. **Generate test file**
Use the complete template from [test-template.py](templates/test-template.py)
5. **Customize for endpoint**
- Replace `{ResourceName}` placeholders
- Fill in actual payload structures
- Add specific field validations
- Include enum and pattern validations
## Test Structure
### File Organization
```python
tests/api/
├── test_{resource}_api.py # Main test file
└── conftest.py # Shared fixtures
```
### Test Class Structure
Each test file should have these test classes:
```python
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
```python
@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
```python
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
```python
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
```python
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
```php
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
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