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* Update to python 3.14 as default, with range down to 3.10 * Fix enum value in query cli * Update pyarrow * Update py version for storage package * Remove 3.10 * add fastuuid * Update Python support to 3.11-3.14 with stricter dependency constraints - Set minimum Python version to 3.11 (removed 3.10 support) - Added support for Python 3.14 - Updated CI workflows: single-version jobs use 3.14, matrix jobs use 3.11 and 3.14 - Fixed license format to use SPDX-compatible format for Python 3.14 - Updated pyarrow to >=22.0.0 for Python 3.14 wheel support - Added explicit fastuuid~=0.14 and blis~=1.3 for Python 3.14 compatibility - Replaced all loose version constraints (>=) with compatible release (~=) for better lock file control - Applied stricter versioning to all packages: graphrag, graphrag-common, graphrag-storage, unified-search-app * update uv lock * Pin blis to ~=1.3.3 to ensure Python 3.14 wheel availability * Update uv lock * Update numpy to >=2.0.0 for Python 3.14 Windows compatibility Numpy 1.25.x has access violation issues on Python 3.14 Windows. Numpy 2.x has proper Python 3.14 support including Windows wheels. * update uv lock * Update pandas to >=2.3.0 for numpy 2.x compatibility Pandas 2.2.x was compiled against numpy 1.x and causes ABI incompatibility errors with numpy 2.x. Pandas 2.3.0+ supports numpy 2.x properly. * update uv.lock * Add scipy>=1.15.0 for numpy 2.x compatibility Scipy versions < 1.15.0 have C extensions built against numpy 1.x and are incompatible with numpy 2.x, causing dtype size errors. * update uv lock * Update Python support to 3.11-3.13 with compatible dependencies - Set Python version range to 3.11-3.13 (removed 3.14 support) - Updated CI workflows: single-version jobs use 3.13, matrix jobs use 3.11 and 3.13 - Dependencies optimized for Python 3.13 compatibility: - pyarrow~=22.0 (has Python 3.13 wheels) - numpy~=1.26 - pandas~=2.2 - blis~=1.0 - fastuuid~=0.13 - Applied stricter version constraints using ~= operator throughout - Updated uv.lock with resolved dependencies * Update numpy to 2.1+ and pandas to 2.3+ for Python 3.13 Windows compatibility Numpy 1.26.x causes access violations on Python 3.13 Windows. Numpy 2.1+ has proper Python 3.13 support with Windows wheels. Pandas 2.3+ is required for numpy 2.x compatibility. * update vsts.yml python version
48 lines
1.0 KiB
YAML
48 lines
1.0 KiB
YAML
name: Python Publish (pypi)
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on:
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release:
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types: [created]
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push:
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branches: [main]
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env:
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PYTHON_VERSION: "3.13"
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jobs:
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publish:
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name: Upload release to PyPI
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if: github.ref == 'refs/heads/main'
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runs-on: ubuntu-latest
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environment:
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name: pypi
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permissions:
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id-token: write # IMPORTANT: this permission is mandatory for trusted publishing
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steps:
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- uses: actions/checkout@v4
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with:
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fetch-depth: 0
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fetch-tags: true
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- name: Set up Python
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uses: actions/setup-python@v5
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with:
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python-version: ${{ env.PYTHON_VERSION }}
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- name: Install uv
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uses: astral-sh/setup-uv@v6
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- name: Install dependencies
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shell: bash
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run: uv sync --all-packages
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- name: Export Publication Version
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run: echo "version=$(uv version --short)" >> $GITHUB_OUTPUT
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- name: Build Distributable
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shell: bash
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run: uv run poe build
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- name: Publish package distributions to PyPI
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run: uv publish
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