🔍 Code Extractor

function test_api_models_endpoint

Maturity: 43

A unit test function that validates the structure and content of the /api/models endpoint response, ensuring it contains the correct model configuration data.

File:
/tf/active/vicechatdev/docchat/test_model_selection.py
Lines:
110 - 132
Complexity:
simple

Purpose

This test function verifies that the API models endpoint returns a properly formatted response with the expected keys ('models' and 'default_model'), contains exactly 4 models, and has 'gpt-4o' set as the default model. It simulates the endpoint response by directly accessing configuration values and performs assertions to validate the data structure.

Source Code

def test_api_models_endpoint():
    """Test the /api/models endpoint returns correct format"""
    print("=" * 60)
    print("TEST 4: API Models Endpoint Format")
    print("=" * 60)
    
    import config
    
    # Simulate what the endpoint should return
    expected_response = {
        'models': config.AVAILABLE_MODELS,
        'default_model': config.DEFAULT_MODEL
    }
    
    assert 'models' in expected_response, "Response missing 'models' key"
    assert 'default_model' in expected_response, "Response missing 'default_model' key"
    assert len(expected_response['models']) == 4, "Should have 4 models"
    assert expected_response['default_model'] == 'gpt-4o', "Default should be gpt-4o"
    
    print("✓ API response format is correct")
    print(f"  - models: {list(expected_response['models'].keys())}")
    print(f"  - default_model: {expected_response['default_model']}")
    print()

Return Value

This function does not return any value (implicitly returns None). It performs assertions that will raise AssertionError if any validation fails, and prints test results to stdout upon success.

Dependencies

  • config

Required Imports

import config

Usage Example

# Ensure config.py exists with required settings:
# config.py should contain:
# AVAILABLE_MODELS = {'gpt-4o': {...}, 'gpt-4o-mini': {...}, 'o1-preview': {...}, 'o1-mini': {...}}
# DEFAULT_MODEL = 'gpt-4o'

import config

# Run the test
test_api_models_endpoint()

# Expected output:
# ============================================================
# TEST 4: API Models Endpoint Format
# ============================================================
# ✓ API response format is correct
#   - models: ['gpt-4o', 'gpt-4o-mini', 'o1-preview', 'o1-mini']
#   - default_model: gpt-4o

Best Practices

  • This test should be run as part of a test suite, not in production code
  • Ensure the config module is properly configured before running this test
  • The test makes hard-coded assumptions about the number of models (4) and default model ('gpt-4o'), which may need updating if configuration changes
  • Consider using a testing framework like pytest or unittest for better test organization and reporting
  • The test prints output directly to stdout; consider using proper test logging or assertion messages for better integration with test runners
  • This test does not actually call the API endpoint; it only validates the expected response structure based on config values

Similar Components

AI-powered semantic similarity - components with related functionality:

  • function test_config 60.0% similar

    A test function that validates the presence and correctness of all required configuration settings for a multi-model RAG (Retrieval-Augmented Generation) system.

    From: /tf/active/vicechatdev/docchat/test_model_selection.py
  • class GPT5Validator 55.1% similar

    A comprehensive testing and validation class for OpenAI GPT models, with special support for GPT-5 family models using the Responses API.

    From: /tf/active/vicechatdev/docchat/test_gpt5_readiness.py
  • function main_v12 55.0% similar

    Main test runner function that validates GPT-5 readiness by running comprehensive tests against multiple OpenAI models (GPT-5 and GPT-4o) and provides production readiness recommendations.

    From: /tf/active/vicechatdev/docchat/test_gpt5_readiness.py
  • function test_models_integration 54.5% similar

    Integration test function that validates the import and instantiation of data models including SectionType, TextSection, DataAnalysisSession, AnalysisStatus, DataSource, and DataSourceType.

    From: /tf/active/vicechatdev/vice_ai/test_integration.py
  • function test_flask_routes 52.7% similar

    A test function that validates Flask application routes are properly configured by checking for required endpoints.

    From: /tf/active/vicechatdev/docchat/test_model_selection.py
← Back to Browse