setup-python | GitHub Actions workflow with a specific version | Continous Integration library
kandi X-RAY | setup-python Summary
kandi X-RAY | setup-python Summary
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setup-python Key Features
setup-python Examples and Code Snippets
def setup_python(environ_cp):
"""Setup python related env variables."""
# Get PYTHON_BIN_PATH, default is the current running python.
default_python_bin_path = sys.executable
ask_python_bin_path = ('Please specify the location of python. [Def
Community Discussions
Trending Discussions on setup-python
QUESTION
Here's my GitHub Actions workflow:
...ANSWER
Answered 2022-Mar-19 at 13:15Solved by adding the following environment variable to the workflow:
QUESTION
UPDATE / SOLUTION Per Sytech's answer....
Did not realize that the build was in Ubuntu which has all the packages but when Azure deploys it to a Linux container, the needed packages were missing.
Like in other questions/answers just add these installs to a startup script that Azure will use ex.
...ANSWER
Answered 2022-Mar-08 at 22:42Tkinter is already included in the ubuntu-latest
image. No particular setup is needed.
QUESTION
I am trying to build a CI with GitHub actions for my django app. I defined my environment variables on github in settings -> secrets -> actions.
This is my ci.yaml file :
...ANSWER
Answered 2022-Feb-22 at 17:32You are close - all you need is to pass secrets to env
variables to your build step, like this:
QUESTION
I'm trying to run a unit test in GitHub actions before deploying my AWS Lambda, where I'm running Selenium Webdriver with a functioning Selenium-chromium lambda layer (https://github.com/vittorio-nardone/selenium-chromium-lambda). I'm running my environment in Python 3.6 and using ChromeDriver version 95.0.4638.54
I kept on encountering this error upon running the unit test:
...ANSWER
Answered 2021-Dec-13 at 23:08Here's what I needed to add to the Chrome options to make it work.
First add a remote debugging port:
QUESTION
The GitHub Action below performs two steps:
- long.py fetches the data from an API and saves it but the data rarely changes
- quick.py processes the saved data generated by long.py
ANSWER
Answered 2022-Feb-13 at 13:06Easiest way is to use caching:
https://github.com/actions/cache
You can use hash of your file as a key.
QUESTION
I built a pylint git action, for pull request, which actually works really well:
...ANSWER
Answered 2022-Feb-12 at 12:39Yes it's doable.
I am using combination of 2 actions:
- one to find comment id
- second one to update or create comment
Here you have a working example coming from an action I use for comments editing and creation: https://github.com/peter-evans/create-or-update-comment#where-to-find-the-id-of-a-comment
QUESTION
I am setting up my github CI pipeline, currently I am trying to setup pylint to be ran automatically on pull requests. How do I write the results from pylint into a PR comment?
This is what I have. I try to use the github action on mshick/add-pr-comment@v1. However, I am not sure how to pipe the result from the previous step. Is it possible to only write the final score instead of the whole result, because it's very long.
...ANSWER
Answered 2022-Feb-11 at 22:00To achieve what you want, you would have to use a sceipt or a shell command (which I don't know as it depends on the context) to extract just the part of the command output you want (e.g: Your code has been rated at 3.31/10), then add it as env variable (or output) to use it in the next step.
I would do something like this in your job:
QUESTION
I have a CI that runs at every pull request created and at every push of a new commit. This CI installs Python dependencies and then run some tests. I use two separate requirements.txt files because one of them contains heavier packages and they are handled differently in Docker.
I am trying to use the actions/cache@v2
action to cache the dependencies but from what I could understand, it only caches between runs in the same branch. So when I create a new PR, for example, cache is not detected from another branch and everything is installed from scratch.
Is there a way to cache dependencies across workflow runs? So the cache created by the CI in one branch can be used by another branch if nothing was changed in the requirements?
Looking at the logs of the workflow that ran in two different branches the cache key is the same:
- Workflow in
branchA
ANSWER
Answered 2022-Feb-10 at 07:34The solution to my problem was very silly but effective. I created a specific workflow for the staging branch for every commit push that will update the cache (if needed). This is helpful because all the development branches are created off of the staging branch and every cache available in a base branch is also available to the derived branches. So at the end the solution is like the original post but with the event's updtaded.
From github's docs:
A workflow can access and restore a cache created in the current branch, the base branch (including base branches of forked repositories), or the default branch (usually main). For example, a cache created on the default branch would be accessible from any pull request. Also, if the branch feature-b has the base branch feature-a, a workflow triggered on feature-b would have access to caches created in the default branch (main), feature-a, and feature-b.
QUESTION
I have written a github action to retrieve the changed sql files and lint those changed files using sqlfluff.
Here is my github action code:
...ANSWER
Answered 2022-Jan-30 at 08:34You can’t redirect files like this:
QUESTION
I have written a github workflow file. I want to run a python program in github actions to validate few changes. I have one environment.yml
file which contains all conda environment dependencies required by this program. The thing is, actual program is not running at all, and my workflow is completed with success.
Following is jobs section of workflow.yml
file
ANSWER
Answered 2021-Sep-26 at 16:38Your CI script contains the line:
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