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Testing Concurrent Provider Integration in gpt4free

This test suite validates GPT-4 Free API providers by executing concurrent tests across multiple provider implementations. It assesses provider functionality, authentication requirements, and response handling for chat completion requests.

Test Coverage Overview

The test suite provides comprehensive coverage of provider functionality by iterating through all available providers except excluded base classes.

Key areas tested include:
  • Provider working status verification
  • Authentication requirement checks
  • Chat completion functionality
  • Concurrent execution capabilities
  • Error handling and response validation

Implementation Analysis

The testing approach utilizes concurrent execution through ThreadPoolExecutor to efficiently test multiple providers simultaneously.

Key implementation patterns include:
  • Provider conversion using ProviderUtils
  • Asynchronous test execution
  • Structured error handling
  • Conditional provider filtering

Technical Details

Testing infrastructure leverages:
  • concurrent.futures for parallel execution
  • ChatCompletion API integration
  • ProviderUtils conversion utilities
  • Exception handling framework
  • Provider filtering mechanism

Best Practices Demonstrated

The test implementation showcases several testing best practices including isolation of provider tests, concurrent execution for efficiency, and robust error handling.

Notable practices:
  • Selective provider testing
  • Resource management with context managers
  • Structured response validation
  • Clean separation of concerns

xtekky/gpt4free

etc/testing/test_providers.py

            
from g4f.Provider import __all__, ProviderUtils
from g4f import ChatCompletion
import concurrent.futures

_ = [
    'BaseProvider',
    'AsyncProvider',
    'AsyncGeneratorProvider',
    'RetryProvider'
]

def test_provider(provider):
    try:
        provider = (ProviderUtils.convert[provider])
        if provider.working and not provider.needs_auth:
            print('testing', provider.__name__)
            completion = ChatCompletion.create(model='gpt-3.5-turbo', 
                                            messages=[{"role": "user", "content": "hello"}], provider=provider)
            return completion, provider.__name__
    except Exception as e:
        #print(f'Failed to test provider: {provider} | {e}')
        return None

with concurrent.futures.ThreadPoolExecutor() as executor:
    futures = [
        executor.submit(test_provider, provider)
        for provider in __all__
        if provider not in _
    ]
    for future in concurrent.futures.as_completed(futures):
        if result := future.result():
            print(f'{result[1]} | {result[0]}')