feat: Add complete Python testing infrastructure with Poetry #60

llbbl · 2025-06-27T22:48:07Z

Add Complete Python Testing Infrastructure

Summary

This PR sets up a comprehensive testing infrastructure for the HyperNeRF project using Poetry as the package manager and pytest as the testing framework. The setup provides a solid foundation for writing and running tests with proper coverage reporting and custom configurat 9C55 ions.

Changes Made

Package Management

Poetry Setup: Created pyproject.toml with Poetry configuration
Dependency Migration: Migrated all dependencies from requirements.txt and setup.py to Poetry
Development Dependencies: Added pytest, pytest-cov, and pytest-mock as development dependencies

Testing Configuration

pytest Configuration:
- Configured test discovery patterns
- Set up coverage reporting with 80% threshold
- Added custom markers: unit, integration, slow
- Configured output formatting and strict options
Coverage Settings:
- HTML and XML report generation
- Source code coverage tracking
- Exclusion patterns for test files and generated code

Project Structure

tests/
├── __init__.py
├── conftest.py              # Shared pytest fixtures
├── test_setup_validation.py # Infrastructure validation tests
├── unit/
│   └── __init__.py
└── integration/
    └── __init__.py

Testing Fixtures

Created comprehensive fixtures in conftest.py:

temp_dir: Temporary directory management
mock_config_file: Mock gin configuration files
sample_image_path: Test image generation
mock_camera_data: Camera parameter mocking
mock_dataset_config: Dataset configuration mocking
setup_test_environment: Auto-configure test environment
mock_jax_device: JAX device mocking for CPU testing
small_model_config: Lightweight model config for tests
capture_logs: Log capturing during tests

Additional Setup

Updated .gitignore: Added testing-related patterns, Claude settings, and common development files
Test Runner Script: Created run_tests.py as a fallback test runner
Validation Tests: Added tests to verify the infrastructure setup works correctly

How to Use

With Poetry (Recommended)

# Install dependencies
poetry install

# Run all tests
poetry run test
# or
poetry run tests

# Run with specific options
poetry run pytest -v
poetry run pytest tests/unit/
poetry run pytest -m unit

Without Poetry

# Use the provided test runner script
python run_tests.py

# Or run pytest directly after installing dependencies
pytest

Running Specific Test Types

# Run only unit tests
pytest -m unit

# Run only integration tests
pytest -m integration

# Skip slow tests
pytest -m "not slow"

# Run with coverage report
pytest --cov=hypernerf --cov-report=html

Notes

The Python version is constrained to >=3.8,<3.12 due to TensorFlow compatibility
Coverage threshold is set to 80% - tests will fail if coverage drops below this
All pytest standard options are available through the Poetry commands
The infrastructure is set up but no actual unit tests for the codebase are included - developers can now start writing tests immediately

Next Steps

Install dependencies with poetry install
Run validation tests to ensure setup works
Start writing unit tests for core modules
Add integration tests for key workflows
Set up CI/CD to run tests automatically

- Set up Poetry as package manager with pyproject.toml configuration - Migrate dependencies from requirements.txt and setup.py - Add pytest, pytest-cov, and pytest-mock as dev dependencies - Configure pytest with coverage reporting (80% threshold) - Create test directory structure (unit/integration) - Add comprehensive test fixtures in conftest.py - Update .gitignore with testing and development patterns - Create validation tests to verify infrastructure setup - Add Poetry script commands for running tests

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Add Complete Python Testing Infrastructure

Summary

Changes Made

Package Management

Testing Configuration

Project Structure

Testing Fixtures

Additional Setup

How to Use

With Poetry (Recommended)

Without Poetry

Running Specific Test Types

Notes

Next Steps

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