🔍 Code Extractor

Test orchestration function that executes a comprehensive test suite for DocChat's multi-LLM model selection feature and reports results.

Purpose

This function serves as the main entry point for running integration tests for the DocChat application. It sequentially executes tests for configuration, RAG engine, Flask routes, API endpoints, and frontend files. It provides formatted console output showing test progress and results, and returns an exit code indicating success (0) or failure (1) for use in CI/CD pipelines or test automation.

Source Code

def main():
    """Run all tests"""
    print("\n" + "=" * 60)
    print("DocChat Multi-LLM Model Selection Tests")
    print("=" * 60)
    print()
    
    try:
        test_config()
        test_rag_engine()
        test_flask_routes()
        test_api_models_endpoint()
        test_frontend_files()
        
        print("=" * 60)
        print("✅ ALL TESTS PASSED!")
        print("=" * 60)
        print()
        print("Model selection is fully implemented and working:")
        print("  - Backend: ✓ Multi-LLM support configured")
        print("  - API: ✓ Model selection endpoint ready")
        print("  - Frontend: ✓ UI with model dropdown")
        print("  - Integration: ✓ Model parameter sent and used")
        print()
        return 0
        
    except AssertionError as e:
        print("=" * 60)
        print("❌ TEST FAILED!")
        print("=" * 60)
        print(f"Error: {e}")
        print()
        return 1
    except Exception as e:
        print("=" * 60)
        print("❌ UNEXPECTED ERROR!")
        print("=" * 60)
        print(f"Error: {type(e).__name__}: {e}")
        import traceback
        traceback.print_exc()
        print()
        return 1

Return Value

Returns an integer exit code: 0 if all tests pass successfully, 1 if any test fails (either through AssertionError or unexpected Exception). This follows Unix convention for process exit codes where 0 indicates success.

Dependencies

• sys
• json
• config
• rag_engine
• os
• app
• traceback

Required Imports

import sys
import json
import config
from rag_engine import get_llm_instance
import os
import app as flask_app
import traceback

Conditional/Optional Imports

These imports are only needed under specific conditions:

import traceback

Usage Example

if __name__ == '__main__':
    exit_code = main()
    sys.exit(exit_code)

Best Practices

• This function should be called as the main entry point of a test script, typically with if __name__ == '__main__'
• The return value should be used with sys.exit() to properly signal test success/failure to the operating system
• All test functions called by main() must be defined before calling main()
• Test functions should raise AssertionError for test failures to be properly caught and reported
• Ensure all required modules (config, rag_engine, app) are available in the Python path before execution
• The function provides detailed console output, so redirect stdout/stderr appropriately in automated environments
• Consider running this in a test environment separate from production to avoid side effects

Tags

Similar Components

AI-powered semantic similarity - components with related functionality:

• function main_v25 78.4% similar

  Orchestrates and executes a comprehensive test suite for the Vice AI Data Analysis Integration, running multiple test functions, creating test datasets, and providing detailed pass/fail reporting.

  From: /tf/active/vicechatdev/vice_ai/test_integration.py

• function main_v22 76.0% similar

  Orchestrates and executes a comprehensive test suite for a Contract Validity Analyzer system, running tests for configuration, FileCloud connection, document processing, LLM client, and full analyzer functionality.

  From: /tf/active/vicechatdev/contract_validity_analyzer/test_implementation.py

• function main_v47 71.7% similar

  Orchestrates and executes a series of example demonstrations for the DocChat system, including document indexing, RAG queries, and conversation modes.

  From: /tf/active/vicechatdev/docchat/example_usage.py

• function main_v42 70.3% similar

  Orchestrates and executes a test suite for an email forwarder service, running multiple test functions sequentially and reporting results.

  From: /tf/active/vicechatdev/email-forwarder/test_service.py

• function run_all_tests 69.1% similar

  Orchestrates a comprehensive test suite for the Vendor Email Extractor system, verifying configuration, authentication, mailbox access, email search, and LLM connectivity.

  From: /tf/active/vicechatdev/find_email/test_vendor_extractor.py