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function test_data_analysis_service

Maturity: 48

A test function that validates the functionality of the DataAnalysisService by creating, initializing, and retrieving analysis sessions.

File:
/tf/active/vicechatdev/vice_ai/test_integration.py
Lines:
56 - 94
Complexity:
moderate

Purpose

This function serves as an integration test for the DataAnalysisService component. It verifies that the service can be properly initialized with configuration, create new analysis sessions with associated metadata (section_id, document_id, user_id, title), and retrieve existing sessions by their session_id. The test uses temporary directories and in-memory databases to avoid side effects.

Source Code

def test_data_analysis_service():
    """Test data analysis service functionality"""
    print("\\nTesting data analysis service...")
    
    try:
        from data_analysis_service import DataAnalysisService
        
        # Create config
        config = {
            'ANALYSIS_FOLDER': tempfile.mkdtemp(),
            'DATABASE_URL': ':memory:'
        }
        
        # Initialize service
        service = DataAnalysisService(config)
        print("✅ DataAnalysisService initialized successfully")
        
        # Test creating session
        session = service.create_analysis_session(
            section_id="test-section",
            document_id="test-doc", 
            user_id="test@example.com",
            title="Test Analysis"
        )
        print("✅ Analysis session created successfully")
        
        # Test getting session
        retrieved_session = service.get_analysis_session(session.session_id)
        assert retrieved_session is not None
        print("✅ Analysis session retrieved successfully")
        
        return True
        
    except ImportError as e:
        print(f"❌ Import error: {e}")
        return False
    except Exception as e:
        print(f"❌ Service test error: {e}")
        return False

Return Value

Returns a boolean value: True if all tests pass successfully (service initialization, session creation, and session retrieval), False if any ImportError or Exception occurs during testing. The function also prints status messages with checkmarks (✅) for successes and crosses (❌) for failures.

Dependencies

  • tempfile
  • data_analysis_service
  • models

Required Imports

import tempfile

Conditional/Optional Imports

These imports are only needed under specific conditions:

from data_analysis_service import DataAnalysisService

Condition: imported inside try block to handle ImportError gracefully during testing

Required (conditional)

Usage Example

# Run the test function
result = test_data_analysis_service()
if result:
    print("All data analysis service tests passed")
else:
    print("Data analysis service tests failed")

# Expected output:
# Testing data analysis service...
# ✅ DataAnalysisService initialized successfully
# ✅ Analysis session created successfully
# ✅ Analysis session retrieved successfully

Best Practices

  • This is a test function and should be run in a testing environment, not in production code
  • Uses temporary directories and in-memory databases to ensure test isolation and avoid side effects
  • Implements proper error handling with try-except blocks to catch both ImportError and general exceptions
  • Returns boolean values to indicate test success/failure for integration with test frameworks
  • Prints descriptive status messages for debugging and test result visibility
  • Tests the complete lifecycle: initialization → creation → retrieval
  • Uses assertions to validate expected behavior (e.g., retrieved_session is not None)
  • Should be extended with cleanup code to remove temporary directories after testing
  • Consider using pytest or unittest framework for more robust test management

Similar Components

AI-powered semantic similarity - components with related functionality:

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