# # Integration Tests

# This module contains integration tests for the user gallery fusion component.

# ## Test Structure

# ```
# tests/integration/
# ├── __init__.py                          # Module initialization
# ├── test_user_gallery_workflow.py       # End-to-end gallery workflow tests
# ├── test_fusion_retrieval.py            # Multi-modal retrieval integration tests
# ├── test_embedding_generation.py        # Face and body embedding integration
# ├── test_gallery_storage.py             # Storage and persistence integration
# ├── test_api_integration.py             # Full API integration tests
# └── test_performance.py                 # Performance and scalability tests
# ```

# ## Test Coverage

# ### Workflow Integration
# - Complete user gallery creation workflows
# - Multi-modal embedding generation pipelines
# - Fusion retrieval end-to-end scenarios
# - Gallery management and lifecycle operations

# ### Component Integration
# - DeepFace face embedding integration
# - FAISS similarity search integration
# - YOLO person detection integration
# - Storage backend integration
# - API endpoint integration

# ### Data Flow Integration
# - Image preprocessing and validation pipelines
# - Embedding generation and quality scoring
# - Variant clustering and aggregation
# - Result ranking and evidence tracking

# ### Performance Integration
# - Large gallery handling (10k+ users)
# - Multi-modal search performance
# - Memory usage and optimization
# - Batch processing scenarios

# ## Testing Strategy

# ### Integration Test Principles
# 1. **Real Components**: Use real implementations where possible
# 2. **Minimal Mocking**: Only mock external dependencies
# 3. **Real Data**: Use real images and datasets
# 4. **Performance Focus**: Measure execution time and resource usage

# ### Test Environment
# - Real image datasets for testing
# - Local FAISS index for search testing
# - DeepFace model downloads for face recognition
# - GPU acceleration where available

# ### Data Management
# - Test datasets with known characteristics
# - Performance benchmark datasets
# - Edge case and failure scenario data
# - Cleanup and reset between tests

# ## Running Tests

# ```bash
# # Run all integration tests
# pytest tests/integration/ -v

# # Run specific integration test modules
# pytest tests/integration/test_user_gallery_workflow.py -v
# pytest tests/integration/test_fusion_retrieval.py -v

# # Run with performance measurement
# pytest tests/integration/ --benchmark -v

# # Run with real DeepFace models
# pytest tests/integration/ --use-real-deepface -v
# ```

# ## Test Configuration

# Integration tests use pytest fixtures for environment setup:
# - Real model downloads and caching
# - Test dataset management
# - Performance measurement setup
# - Cleanup and teardown procedures

# ## Continuous Integration

# Integration tests are executed in CI/CD pipeline with:
# - Integration test execution on pull requests
# - Performance regression detection
# - Real model testing in dedicated environments
# - Resource usage monitoring
