Publishing to conda

.github/workflows/publish-conda.yml

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+name: Publish Python 🐍 distributions 📦 to Conda
+
+on:
+  push:
+    tags:
+      - '*'
+  workflow_dispatch:
+
+
+jobs:
+  build-n-publish:
+    name: Build and publish Python 🐍 distributions 📦 to Conda
+    runs-on: ubuntu-latest
+    steps:
+
+    - uses: actions/checkout@v3
+
+    - uses: conda-incubator/setup-miniconda@v2
+      with:
+        auto-update-conda: true
+
+    - name: Build Conda Packages
+      # Bash shells do not use ~/.profile or ~/.bashrc so these shells need to be explicitely declared as shell:
+      # bash -l {0} on steps that need to be properly activated
+      shell: bash -l {0}
+      env:
+        ANACONDA_TOKEN: ${{ secrets.ANACONDA_TOKEN }}
+      run: |
+        conda install conda-build anaconda-client conda-verify
+        conda config --set anaconda_upload yes
+        cd conda
+        conda build -c conda-forge -c pytorch -c dglteam -c districtdatalabs --token "$ANACONDA_TOKEN" .

bld.bat

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+"%PYTHON%" setup.py install
+if errorlevel 1 exit 1

build.sh

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+python setup.py install

conda/meta.yaml

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+package:
+  name: graphistry
+  version: {{ GIT_DESCRIBE_TAG }}
+
+source:
+  git_rev: {{ GIT_DESCRIBE_TAG }}
+  git_url: https://github.com/graphistry/pygraphistry
+
+requirements:
+  host:
+    - python
+    - setuptools
+  run:
+    - graphistry.graphistry-core
+    - graphistry.graphistry-umap
+    - graphistry.graphistry-ai
+
+test:
+  requires:
+    - flake8
+    - mock
+    - mypy
+    - pytest
+    - pandas-stubs
+    - types-requests
+
+outputs:
+  - name: graphistry.graphistry-core
+    requirements:
+      - packaging>=20.1
+      - typing-extensions
+      - numpy
+      - pandas>=0.17.0
+      - protobuf>=2.6.0
+      - pyarrow>=0.15.0
+      - requests
+    description: test desc
+  - name: graphistry.graphistry-umap
+    requirements:
+      - umap-learn
+      - dirty_cat==0.2.0
+      - scikit-learn>=1.0
+  - name: graphistry.graphistry-ai
+    requirements:
+      - scikit-learn>=1.0
+      - scipy
+      - umap-learn
+      - dirty_cat==0.2.0
+      - dgl
+      - pytorch
+      - sentence-transformers
+
+
+about:
+  home: https://www.graphistry.com/
+  license: BSD3
+  license_file: ../LICENSE.txt
+  summary: Graphistry Visual Graph Analytics library for Python
+  description: |
+    Graphistry is a visual graph analytics library for extracting, transforming, 
+    displaying, and sharing big graphs with end-to-end GPU acceleration.
+
+    You can install the whole package via:
+
+    `conda install -c pygraphistry_dev graphistry`
+
+    Just the core package via:
+
+    `conda install -c pygraphistry_dev graphistry.graphistry-core`
+
+    Or other parts of the package via:
+
+    `conda install -c pygraphistry_dev graphistry.graphistry-ai`
+
+    `conda install -c pygraphistry_dev graphistry.graphistry-umap`
+  doc_url: https://hub.graphistry.com/docs
+  dev_url: https://github.com/graphistry/pygraphistry
+
+extra:
+  author: The Graphistry Team
+  author_email: [email protected]
+
+