graphrag/.github/workflows/python-publish.yml
Nathan Evans bffa400c89
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Python update (3.13) (#2149)
* 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
2025-12-15 15:39:38 -08:00

48 lines
1.0 KiB
YAML

name: Python Publish (pypi)
on:
release:
types: [created]
push:
branches: [main]
env:
PYTHON_VERSION: "3.13"
jobs:
publish:
name: Upload release to PyPI
if: github.ref == 'refs/heads/main'
runs-on: ubuntu-latest
environment:
name: pypi
permissions:
id-token: write # IMPORTANT: this permission is mandatory for trusted publishing
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
fetch-tags: true
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: ${{ env.PYTHON_VERSION }}
- name: Install uv
uses: astral-sh/setup-uv@v6
- name: Install dependencies
shell: bash
run: uv sync --all-packages
- name: Export Publication Version
run: echo "version=$(uv version --short)" >> $GITHUB_OUTPUT
- name: Build Distributable
shell: bash
run: uv run poe build
- name: Publish package distributions to PyPI
run: uv publish