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stefanvstefanv
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Merge remote-tracking branch 'origin/main' into template-publish
2 parents 7ca0eeb + 954d80a commit 53e28f4

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‎.circleci/config.yml‎

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# See: https://circleci.com/docs/2.0/language-python/
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version: 2.1
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jobs:
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build:
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docker:
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- image: cimg/python:3.11
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steps:
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- checkout
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- run:
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name: Update apt-get
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command: |
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sudo apt-get update
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- restore_cache:
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keys:
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- pip-cache-v1
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- run:
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name: Clone website
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command: git clone git@github.com:scientific-python/devstats.scientific-python.org.git
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- run:
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name: Install Python dependencies
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command: |
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python3 -m venv venv
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source venv/bin/activate
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pip install --upgrade pip wheel setuptools
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pip install -r devstats.scientific-python.org/requirements.txt
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pip list
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- save_cache:
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key: pip-cache-v1
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paths:
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- ~/.cache/pip
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- run:
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name: Install
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command: |
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source venv/bin/activate
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pip install -e .
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pip list
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- run:
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name: Build docs
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command: |
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# NOTE: bad interaction w/ blas multithreading on circleci
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export OMP_NUM_THREADS=1
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source venv/bin/activate
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cd devstats.scientific-python.org
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make html
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- store_artifacts:
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path: devstats.scientific-python.org/_build/html

‎.github/dependabot.yml‎

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version: 2
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updates:
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- package-ecosystem: "github-actions"
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directory: "/"
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schedule:
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interval: "monthly"
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labels:
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- "type: Maintenance"
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- package-ecosystem: "pip"
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directory: "/"
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schedule:
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interval: "monthly"
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labels:
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- "type: Maintenance"

‎.github/workflows/circleci.yml‎

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name: circleci
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on: [status]
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jobs:
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documentation:
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runs-on: ubuntu-latest
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name: Run CircleCI documentation artifact redirector
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steps:
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- name: GitHub Action step
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uses: larsoner/circleci-artifacts-redirector-action@master
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with:
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repo-token: ${{ secrets.GITHUB_TOKEN }}
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api-token: ${{ secrets.DEVSTATS_CIRCLECI_TOKEN }}
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artifact-path: 0/_build/html/index.html
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circleci-jobs: documentation

‎.github/workflows/label-check.yaml‎

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name: Labels
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on:
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pull_request:
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types:
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- opened
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- labeled
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- unlabeled
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env:
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LABELS: ${{ join( github.event.pull_request.labels.*.name, ' ' ) }}
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jobs:
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check-type-label:
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name: ensure type label
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runs-on: ubuntu-latest
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steps:
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- if: "contains( env.LABELS, 'type: ' ) == false"
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run: exit 1

‎.github/workflows/milestone-merged-prs.yaml‎

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name: Milestone
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on:
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pull_request_target:
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types:
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- closed
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branches:
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- "main"
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jobs:
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milestone_pr:
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name: attach to PR
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runs-on: ubuntu-latest
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steps:
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- uses: scientific-python/attach-next-milestone-action@f94a5235518d4d34911c41e19d780b8e79d42238
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with:
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token: ${{ secrets.MILESTONE_LABELER_TOKEN }}
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force: true

‎CHANGELOG.md‎

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# Changelog

‎MANIFEST.in‎

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include CHANGELOG.md

‎RELEASE.md‎

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## Introduction
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5-
Example `version`
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Example `version number`
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- 1.8.dev0 # development version of 1.8 (release candidate 1)
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- 1.8rc1 # 1.8 release candidate 1
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## Process
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- Update and review `CHANGELOG.md`:
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- Set release variables:
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gem install github_changelog_generator
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github_changelog_generator -u scientific-python -p pydata --since-tag=<last tag>
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export VERSION=<version number>
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export PREVIOUS=<previous version number>
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export ORG="scientific-python"
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export REPO="devstats"
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- Autogenerate release notes
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changelist ${ORG}/${REPO} v${PREVIOUS} main --version ${VERSION}
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- Put the output of the above command at the top of `CHANGELOG.md`
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- Update `version` in `pyproject.toml`.
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- Commit changes:
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git add pyproject.toml CHANGELOG.md
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git commit -m 'Designate <version> release'
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git commit -m "Designate ${VERSION} release"
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- Add the version number (e.g., `1.2.0`) as a tag in git:
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- Tag the release in git:
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git tag -s [-u <key-id>] v<version> -m 'signed <version> tag'
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git tag -s v${VERSION} -m "signed ${VERSION} tag"
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If you do not have a gpg key, use -u instead; it is important for
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Debian packaging that the tags are annotated
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git push --tags origin main
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where `origin` is the name of the `github.com:scientific-python/pydata
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where `origin` is the name of the `github.com:scientific-python/devstats`
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repository
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- Review the github release page:
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https://github.com/scientific-python/pydata/releases
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https://github.com/scientific-python/devstats/tags
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- Publish on PyPi:
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‎devstats/reports/issues/first_responders.md‎

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### First responders
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```{code-cell} ipython3
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---
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tags: [hide-input]
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---
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```
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```{code-cell} ipython3
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---
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tags: [hide-input]
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---
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first_commenter_tab = pd.DataFrame(
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{
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k: v
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for k, v in zip(
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("Contributor", "# of times commented first"),
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np.unique(first_commenters, return_counts=True),
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)
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}
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)
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first_commenter_tab.sort_values(
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"# of times commented first", ascending=False
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).head(10)
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```

‎devstats/reports/issues/new_issues.md‎

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### New issues
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%TODO: should probably use pandas for this
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```{code-cell} ipython3
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---
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tags: [hide-input]
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---
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newly_created = [
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iss for iss in issues if np.datetime64(iss["createdAt"]) > query_date
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]
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new_issues_closed = [iss for iss in newly_created if iss["state"] == "CLOSED"]
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new_issue_lifetime = np.array(
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[
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np.datetime64(iss["closedAt"]) - np.datetime64(iss["createdAt"])
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for iss in new_issues_closed
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],
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).astype("m8[h]") # in hours
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glue("{{ project }}_num_new_issues", len(newly_created))
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glue("{{ project }}_num_new_issues_closed", percent_val(len(new_issues_closed), len(newly_created)))
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glue("{{ project }}_new_issue_median_lifetime", f"{np.median(new_issue_lifetime)}")
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```
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{glue:text}`{{ project }}_num_new_issues` new issues have been opened since
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{glue:text}`{{ project }}_query_date`, of which {glue:text}`{{ project }}_num_new_issues_closed` have been
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closed.
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The median lifetime of new issues that were created and closed in this period
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is {glue:text}`{{ project }}_new_issue_median_lifetime`.
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% TODO: replace with bokeh or some other live-plot
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% TODO: for any remaining static/mpl plots, set default params for things
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% like fontsize in a mplstyle file.
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```{code-cell} ipython3
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---
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tags: [hide-input]
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---
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title = (
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f"Lifetime of issues created and closed in the last "
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f"{(np.datetime64(datetime.datetime.now()) - query_date).astype('m8[D]')}"
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)
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h, bedges = np.histogram(
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new_issue_lifetime.astype("m8[D]").astype(int), bins=np.arange(30)
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)
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p = figure(
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width=670,
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height=400,
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title=title,
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tooltips=[("lifetime", "@right days"), (r"# issues", "@top")],
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)
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p.quad(top=h, bottom=0, left=bedges[:-1], right=bedges[1:])
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p.xaxis.axis_label = "Issue lifetime (days)"
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p.yaxis.axis_label = "# Issues"
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show(p)
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```

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