Project Overview

Poetry is a Python dependency management and packaging tool that simplifies the process of declaring, managing, and installing dependencies for Python projects. Poetry replaces traditional Python packaging tools (setup.py, requirements.txt, setup.cfg, MANIFEST.in, and Pipfile) with a modern, unified pyproject.toml-based project format.

Key Features

• Dependency resolution and management
• Virtual environment handling
• Package building and publishing
• Lock file for reproducible installs
• Python version management

Project Details

• Version: 2.3.2
• Python Requirements: >=3.10,<4.0
• License: MIT
• Repository: https://github.com/python-poetry/poetry

Build Results

✅ BUILD SUCCEEDED

The project was successfully built using Poetry's build system.

Build Artifacts

Two distribution packages were created in the dist/ directory:

1. Wheel Package: poetry-2.3.2-py3-none-any.whl (282 KB)

   • Python 3 compatible wheel for cross-platform installation

2. Source Distribution: poetry-2.3.2.tar.gz (3.4 MB)

   • Complete source tarball for installation from source

Build Process

$ poetry build Building poetry (2.3.2) Building sdist - Building sdist - Built poetry-2.3.2.tar.gz Building wheel - Building wheel - Built poetry-2.3.2-py3-none-any.whl

No errors or warnings were encountered during the build process.

Test Results

✅ ALL TESTS PASSED

Summary Statistics

• Total Tests: 2,907
• Passed: 2,907 (100%)
• Failed: 0
• Skipped: 9
• Execution Time: 78.45 seconds (1 minute 18 seconds)

Skipped Tests Breakdown

The 9 skipped tests are platform-specific and expected:

• 3 tests for Windows-only shell activation
• 1 test for Windows-only console scripts
• 1 test for macOS-specific functionality
• 1 test for Windows-only Python manager functionality
• 2 tests specific to poetry self install and poetry install contexts
• 1 test skipped due to known issue Modern installer eats a lot of RAM when installing big wheels python-poetry/poetry#7983

Test Coverage

Tests executed across all major Poetry components:

• Console commands and CLI interface
• Dependency resolution and locking
• Package installation and management
• Virtual environment handling
• Configuration management
• Repository interactions
• Build system integration
• Plugin system
• Utility functions

Test Execution

$ poetry run pytest tests/ -v --tb=short ============================= test session starts ============================== platform linux -- Python 3.12.3, pytest-9.0.2, pluggy-1.6.0 ... ================== 2907 passed, 9 skipped in 78.45s (0:01:18) ==================

Overall Assessment

✅ SUCCESS - Project is Healthy

Both the build and test suite completed successfully with no failures:

1. Build System: Working perfectly - both wheel and source distributions built without errors
2. Test Suite: 100% pass rate (2,907/2,907 tests passed)
3. Code Quality: All tests passing indicates the codebase is stable and functional
4. Platform Support: Skipped tests are expected platform-specific exclusions

Recommendation

The project is in excellent condition and ready for:

• Development work
• Production use
• Package distribution
• Further testing or deployment

No issues or concerns were identified during the build and test process.

AI generated by Build and Test