Kinh Nghiệm về Github action run python script Chi Tiết
Pro đang tìm kiếm từ khóa Github action run python script được Cập Nhật vào lúc : 2022-09-29 14:40:30 . Với phương châm chia sẻ Mẹo Hướng dẫn trong nội dung bài viết một cách Chi Tiết 2022. Nếu sau khi đọc tài liệu vẫn ko hiểu thì hoàn toàn có thể lại Comment ở cuối bài để Ad lý giải và hướng dẫn lại nha.
Run Python Script Action
Write Python scripts in an Actions workflow file!
Nội dung chính
- Run Python Script Action
- Handling errors
- Utility functions
- Stop commands
- Resume commands
- Can I run Python script in GitHub actions?
- How do I run Python code in GitHub?
- Can I run scripts in GitHub?
- How do I run an action Pytest in GitHub?
This action lets you define a custom Python script inside the workflow YAML file. Write your Python code as the script argument, and use the YAML multiline string feature to define multiline scripts.
The only requirement is that you set up the Python environment before running the action. Here is an example workflow that prints the repository root
directory contents to the Actions logs:
name: Run Script
on:
push:
branches: [ master ]
pull_request:
branches: [ master ]
jobs:
build:
runs-on: ubuntu-latest
steps:
– uses: actions/[email protected]
– uses: actions/[email protected]
– uses: jannekem/[email protected]
with:
script: |
import os
print(“Directory contents:”)
for f in os.listdir():
print(f)
Handling errors
By default,
the action will fail if it encounters any errors when trying to run your script. You can override this with the fail-on-error input.
The action sets three outputs:
- stdout contains any text that your program prints to the console
- stderr contains any text that is routed to STDERR, such as exception messages
- error is a string with either “true” or “false” depending on if errors were present or not, use this to check for errors when you opt
not to fail the step
Look the following snippet to see how the error handling works in practice:
name: Run Script
on:
push:
jobs:
build:
runs-on: ubuntu-latest
steps:
– uses: actions/[email protected]
– uses: actions/[email protected]
– uses: jannekem/[email protected]
id: script
with:
fail-on-error: false
script: |
print(“Doing something that will fail”)
a = []
a[10]
– name: Print errors
if: steps.script.outputs.error == ‘true’
run: |
printenv “SCRIPT_STDOUT”
printenv “SCRIPT_STDERR”
env:
SCRIPT_STDOUT: $ steps.script.outputs.stdout
SCRIPT_STDERR: $ steps.script.outputs.stderr
Utility functions
The action comes bundled with utilities that you can use to interact with the workflow. If you want to disable these utilities you can set util: false as an input for the step. You can call these functions directly
from your script without having to import anything.
Example:
– uses: jannekem/[email protected]
with:
script: |
add_path(“/usr/local/test”)
set_env(“HELLO”, “WORLD”)
group(“Messages”)
print(“Sending a message”)
warning(“There might be an issue”)
end_group()
Add path
Signature: add_path(path)
Prepend to the system path. The change will affect later steps only.
Get input
Signature: get_input(name)
Returns the value of the given input as a string.
Set output
Signature: set_output(name, value)
Sets an output parameter.
Set env
Signature: set_env(name, value)
Sets an environment variable for use in
later steps.
Debug
Signature: debug(message)
Sends a debug message. The message will be visible only when debug logging has been enabled.
Warning
Signature: warning(message)
Sends a warning message that will be highlighted with yellow color in the worklow log.
Error
Signature: error(message)
Sends an error message that will be higlighted with red color in the workflow log.
Group
Signature: group(title)
Creates an expandable group in the workflow log.
End group
Signature: end_group()
Ends a group. All printed lines before calling end_group() belong to the
previously defined group.
Add mask
Signature: add_mask(value)
Masks out sensitive data and replaces it with ***. The value can be a string (“my sensitive data”), or it can point to an environment variable (“$DB_PASSWORD”).
Stop commands
Signature: stop_commands()
All commands will stop processing. It allows you to log anything without accidentally triggering workflow
commands.
Resume commands
Signature: resume_commands()
Resume command processing.
Get state
Signature: get_state(name)
Share environment variables with your workflow’s pre: and post: actions. See official
documentation for more details.
Save state
Signature: save_state(name, value)
Saves a value as an environment variable with the STATE_ prefix. See official documentation for more details.
Can I run Python script in GitHub actions?
Run Python Script Action. Write Python scripts in an Actions workflow file! This action lets you define a custom Python script inside the workflow YAML file. Write your Python code as the script argument, and use the YAML multiline string feature to define multiline scripts.
How do I run Python code in GitHub?
Run a Python script from GitHub (console). In Source Type, select GitHub.. In the Source Info box, enter the required information to access the source in the following format: … . For Command Line, enter parameters for the script execution..
Can I run scripts in GitHub?
You can use actions to run scripts and shell commands, which are then executed on the assigned runner.
How do I run an action Pytest in GitHub?
To use a pre-installed version of Python or PyPy on a GitHub-hosted runner, use the setup-python action. This action finds a specific version of Python or PyPy from the tools cache on each runner and adds the necessary binaries to PATH , which persists for the rest of the job.
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