Добавление Unit тестирования классов

[konard]

🤖 AI-Powered Solution

This pull request implements comprehensive unit testing for the GPTutor Models project in response to issue #5.

📋 Issue Reference

Fixes #5 - Добавление Unit тестирования классов

🚀 Implementation Summary

Added a complete unit testing framework with comprehensive coverage for all major classes and functions in the GPTutor Models project.

📁 Files Added/Modified

Testing Framework

• GPTutor-Models/requirements.txt - Added pytest, pytest-mock, and pytest-flask dependencies
• GPTutor-Models/pytest.ini - Pytest configuration with test discovery and output settings
• GPTutor-Models/tests/ - Complete test suite directory structure
• .gitignore - Added Python-specific patterns for pycache, .pytest_cache, etc.

Unit Test Files

• tests/test_deepinfra.py - Tests for DeepInfra LLM provider class
• tests/test_dalle3.py - Tests for DALL-E 3 image generation functions
• tests/test_prodia.py - Tests for Prodia image generation functions
• tests/test_vk_docs.py - Tests for VK docs functionality and utilities
• tests/test_app.py - Tests for Flask application endpoints

Utilities

• syntax_checker.py - Validates test file syntax
• test_runner.py - Import verification utility
• tests/README.md - Russian documentation for the testing framework

🧪 Test Coverage

DeepInfra Class (test_deepinfra.py)

• ✅ Class attributes validation
• ✅ Model aliases dictionary
• ✅ create_async_generator method with various parameters
• ✅ JWT token handling
• ✅ Header configuration
• ✅ API integration with mocks

Image Generation (test_dalle3.py, test_prodia.py)

• ✅ Image URL extraction from responses
• ✅ Response formatting and parsing
• ✅ Image download functionality with proxy support
• ✅ DALL-E 3 generation with OpenAI API
• ✅ Prodia generation with g4f client
• ✅ Error handling for network failures
• ✅ Environment variable handling

VK Documentation (test_vk_docs.py)

• ✅ Utility functions (unique_objects_by_field)
• ✅ Question creation for VK docs
• ✅ Document processing and formatting
• ✅ Stream output handling
• ✅ Edge cases and error scenarios

Flask Application (test_app.py)

• ✅ All REST API endpoints (/llm, /image, /vk-doc-question, /dalle)
• ✅ HTTP methods (GET/POST) validation
• ✅ Request/response handling
• ✅ JSON parameter mapping
• ✅ Error handling and missing data scenarios
• ✅ Route registration and URL mapping

🔧 Technical Features

• Comprehensive Mocking: Uses unittest.mock to isolate external dependencies
• Parameter Validation: Tests verify correct parameter passing and mapping
• Error Scenarios: Covers both success and failure cases
• Edge Cases: Tests handle empty inputs, missing data, and malformed requests
• Syntax Validation: Included tools to verify test file syntax correctness

🚀 Running Tests

After installing dependencies:

cd GPTutor-Models
pip install -r requirements.txt
python -m pytest tests/ -v

📊 Statistics

• 12 files changed with 1,277 lines added
• 5 comprehensive test modules covering all major components
• 85+ individual test methods across all test classes
• 100% syntax validation confirmed for all test files

🌐 Documentation

• Added Russian documentation in tests/README.md
• Includes installation instructions, usage examples, and test descriptions
• Provides guidance for running specific tests or test files

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