10000 CI: Add GHA workflow to upload nightly wheels by matthewfeickert · Pull Request #22733 · matplotlib/matplotlib · GitHub
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CI: Add GHA workflow to upload nightly wheels #22733

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Mar 31, 2022
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64 changes: 64 additions & 0 deletions .github/workflows/nightlies.yml
Original file line number Diff line number Diff line change
@@ -0,0 +1,64 @@
name: Upload nightly wheels to Anaconda Cloud

on:
# Run daily at 1:23 UTC to upload nightly wheels to Anaconda Cloud
schedule:
- cron: '23 1 * * *'
# Run on demand with workflow dispatch
workflow_dispatch:

jobs:
upload_nightly_wheels:
name: Upload nightly wheels to Anaconda Cloud
runs-on: ubuntu-latest
if: github.repository_owner == 'matplotlib'

steps:
- name: Install Python
uses: actions/setup-python@v3
with:
python-version: '3.x'

# c.f. https://github.com/actions/download-artifact/issues/3#issuecomment-1017141067
- name: Download wheel artifacts from last build on 'main'
shell: bash
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
PROJECT_REPO="matplotlib/matplotlib"
BRANCH="main"
WORKFLOW_NAME="cibuildwheel.yml"
ARTIFACT_NAME="wheels"

gh run --repo "${PROJECT_REPO}" \
list --branch "${BRANCH}" \
--workflow "${WORKFLOW_NAME}" \
--json event,status,databaseId > runs.json
# Filter on 'push' events to main (merged PRs) that have completed
jq --compact-output \
'[ .[] | select(.event == "push") | select(.status == "completed") ]' \
runs.json > pushes.json
# Get id of latest build of wheels
RUN_ID=$(
jq --compact-output \
'sort_by(.databaseId) | reverse | .[0].databaseId' pushes.json
)
gh run --repo "${PROJECT_REPO}" \
download "${RUN_ID}" --name "${ARTIFACT_NAME}"

mkdir dist
mv *.whl dist/
ls -l dist/

- name: Install anaconda-client
run: |
python -m pip install --upgrade pip setuptools wheel
# c.f. https://github.com/Anaconda-Platform/anaconda-client/issues/540
python -m pip install git+https://github.com/Anaconda-Server/anaconda-client
python -m pip list

- name: Upload wheels to Anaconda Cloud as nightlies
run: |
anaconda --token ${{ secrets.ANACONDA_ORG_UPLOAD_TOKEN }} upload \
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ANACONDA_ORG_UPLOAD_TOKEN is still the right secret but I do not think we will know if this works until we merge it.

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Not sure if it is worth it, but you could manually download a wheel and then upload it with the token to test in advance that the ANACONDA_ORG_UPLOAD_TOKEN is valid. Though given that this PR enables workflow dispatch if there was something wrong with the token you could just change the value of the repo secret and rerun the job (which runs in under 1 minute) so probably not worth the time to test it out before.

--user scipy-wheels-nightly \
dist/matplotlib-*.whl
14 changes: 14 additions & 0 deletions doc/users/installing/index.rst 9E2D
Original file line number Diff line number Diff line change
Expand Up @@ -80,6 +80,20 @@ you can install Matplotlib via your package manager, e.g.:

.. _install_from_source:

==========================
Installing a nightly build
==========================

Matplotlib makes nightly development build wheels available on the
`scipy-wheels-nightly Anaconda Cloud organization
<https://anaconda.org/scipy-wheels-nightly>`_.
These wheels can be installed with ``pip`` by specifying scipy-wheels-nightly
as the package index to query:

.. code-block:: sh

python -m pip install --upgrade --index-url https://pypi.anaconda.org/scipy-wheels-nightly/simple matplotlib

======================
Installing from source
======================
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