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CI: Add nightly upload of wheels to Anaconda Cloud
Add nightlies.yml GitHub Action workflow that uses the gh CLI API to
download the 'wheels' artifact from the latest completed build of the
cibuildwheel workflow from the 'main' branch. This is done by getting
the fields 'event', 'status', and 'databaseId' from the output of
`gh run list` as JSON and then using jq to filter for 'push' events
(which correspond to merged PRs to the 'main' branch) that have
completed runs. This is then sorted by the databaseIds in descending
order to get the latest completed build run number. Then the 'wheels'
artifact can be downloaded.

The downloaded wheels are then uploaded to the scipy-wheels-nightly
Anaconda Cloud organization (https://anaconda.org/scipy-wheels-nightly)
using the anaconda-client CLI API.
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matthewfeickert committed Mar 31, 2022
commit 6d3d6fdc71de72ff659c586ee8e363e41d0f3ef9
64 changes: 64 additions & 0 deletions .github/workflows/nightlies.yml
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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
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if: github.repository_owner == 'matplotlib'

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