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Add GitHub Actions workflow for Python package #9
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Reviewer's GuideAdds a new GitHub Actions workflow that runs on push to set up a Conda-based Python 3.10 environment, install dependencies from environment.yml, then run flake8 linting and pytest tests on Ubuntu. Flow diagram for CI steps in Conda-based Python package workflowflowchart TD
Start["Push to repository"] --> TriggerWorkflow["Trigger workflow python-package-conda.yml"]
TriggerWorkflow --> StartJob["Start job build-linux on ubuntu-latest"]
StartJob --> StepCheckout["Checkout code (actions/checkout@v4)"]
StepCheckout --> StepSetupPython["Set up Python 3.10 (actions/setup-python@v3)"]
StepSetupPython --> StepAddConda["Add conda to system PATH"]
StepAddConda --> StepCondaEnvUpdate["conda env update --file environment.yml --name base"]
StepCondaEnvUpdate --> StepLint["Install flake8 and run flake8 checks"]
StepLint --> StepTest["Install pytest and run pytest"]
StepTest --> End["Job completes (success or failure)"]
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Hey - I've found 1 issue, and left some high level feedback:
- Consider using the
conda-incubator/setup-miniconda(or similar) action instead of manually echoing$CONDA/binto$GITHUB_PATH, as it provides more robust environment setup and built-in caching support. - Right now
flake8andpytestare installed ad hoc in individual steps; you might want to move these intoenvironment.yml(or a dedicated dev environment) so the workflow uses a single, reproducible environment solve. - The workflow is triggered on all
pushevents; if you only need CI on main branches and/or PRs, consider narrowing the triggers (e.g.,on: [push, pull_request]with branch filters) to avoid unnecessary runs.
Prompt for AI Agents
Please address the comments from this code review:
## Overall Comments
- Consider using the `conda-incubator/setup-miniconda` (or similar) action instead of manually echoing `$CONDA/bin` to `$GITHUB_PATH`, as it provides more robust environment setup and built-in caching support.
- Right now `flake8` and `pytest` are installed ad hoc in individual steps; you might want to move these into `environment.yml` (or a dedicated dev environment) so the workflow uses a single, reproducible environment solve.
- The workflow is triggered on all `push` events; if you only need CI on main branches and/or PRs, consider narrowing the triggers (e.g., `on: [push, pull_request]` with branch filters) to avoid unnecessary runs.
## Individual Comments
### Comment 1
<location> `.github/workflows/python-package-conda.yml:3` </location>
<code_context>
+name: Python Package using Conda
+
+on: [push]
+
+jobs:
</code_context>
<issue_to_address>
**suggestion (testing):** Triggering only on `push` omits validation for external pull requests
With only `push` configured, CI won’t run for forked PRs (and may not run before merge for internal PRs). To ensure changes are validated pre-merge, add a `pull_request` trigger (optionally restricted to specific branches).
```suggestion
on:
push:
branches:
- main
pull_request:
branches:
- main
```
</issue_to_address>Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.
Set up a GitHub Actions workflow for Python package using Conda, including steps for environment setup, dependency installation, linting, and testing. Signed-off-by: Dargon789 <64915515+Dargon789@users.noreply.github.com>
Co-authored-by: sourcery-ai[bot] <58596630+sourcery-ai[bot]@users.noreply.github.com> Signed-off-by: Dargon789 <64915515+Dargon789@users.noreply.github.com>
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Set up a GitHub Actions workflow for Python package using Conda, including steps for environment setup, dependency installation, linting, and testing.
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CI: