I am trying to add a python linting step to an Azure DevOps pipeline using Super-Linter. I followed the instruction here to add the following step in my pipeline:
jobs:
- job: PythonLint
displayName: Python Lint
pool:
vmImage: ubuntu-latest
steps:
- script: |
docker pull github/super-linter:latest
docker run -e RUN_LOCAL=true -e VALIDATE_PYTHON_PYLINT=true -v $(System.DefaultWorkingDirectory):/tmp/lint github/super-linter
displayName: 'Code Scan using GitHub Super-Linter'
The Super-Linter github docs page describes passing environment variables to tell it which linters to run. I pass the variable VALIDATE_PYTHON_PYLINT to tell it to run pylint. When I run the pipeline, I get a load of errors of the form E0401: Unable to import 'pyspark.sql' (import-error).
Pylint's configuration page says the modules should be passed as command line arguments.
My question is, how can I configure Super-Linter to pass these arguments or otherwise tell pylint which modules to import?
Related
So i am trying to create a pipeline on bitbucket. On my local computer, I navigate to the folder cd terraform/environments/devand run terraform init without an issue. However, when I run the test pipeline on bitbucket, it stops on the second action because
bash: terraform: command not found
How can I fix this? I believe I need to install terraform on bitbucket somehow but I am not sure how to do so. Do I use python pip commands? If so, how and why?
image: atlassian/default-image:2
pipelines:
branches:
test:
- step:
name: 'Navigate to Dev'
script:
- cd terraform/environments/dev
condition:
changesets:
includePaths:
- "terraform/modules"
- "terraform/environments/dev"
- step:
name: 'Initialize Terraform'
script:
- terraform init
You need the correct image for your build agent. In this situation, the agent basically only needs terraform installed and accessible:
image: hashicorp/terraform
This will fix your issue. You can also of course set the tag for the image to your specific version of Terraform.
I have two repositories A & B.
Azure Repository A - Contains a python app
Azure Repository B - Contains .yml templates and .py scripts I want to run in the .yml templates
According to the documentations.. I cannot do this because when I expand the template into the calling repository A's pipeline.. it will be like a code directive and just inject the code.. it will not know or care about the .py files in the respoitory.
What are my options without doing all my .py routines as inline ?
Azure Repo A's Pipeline Yaml file
trigger: none
resources:
pipelines:
- pipeline: my_project_a_pipeline
source: trigger_pipeline
trigger:
branches:
include:
- master
repositories:
- repository: template_repo_b
type: git
name: template_repo_b
ref: main
stages:
- template: pipelines/some_template.yml#template_repo_b
parameters:
SOME_PARAM_KEY: "some_param_value"
Azure Repo B's some_template.yml
parameters:
- name: SOME_PARAM_KEY
type: string
stages:
- stage: MyStage
displayName: "SomeStage"
jobs:
- job: "MyJob"
displayName: "MyJob"
steps:
- bash: |
echo Bashing
ls -la
displayName: 'Execute Warmup'
- task: PythonScript#0
inputs:
scriptSource: "filePath"
scriptPath: /SOME_PATH_ON_REPO_B/my_dumb_script.py
script: "my_dumb_script.py"
Is there an option to wire in the .py files into a completely separate repo C... add C to resources of B templates.. and be on my way ?
EDIT:
I can see In Azure templates repository, is there a way to mention repository for a filePath parameter of azure task 'pythonScript'? but then how do I consume the python package.. can I still use the PythonScript task ? sounds like I would then need to call my pip packaged code straight from bash ??
I figured it out.. how to pip install py files in azure devops pipelines.. using azure repositories.. via a template in the same repo
just add a reference to yourself at the top of any template
In the consuming repo
repositories:
- repository: this_template_repo
type: git
name: this_template_repo
ref: master
then add a job, referencing yourself by that name
- job: "PIP_INSTALL_LIBS"
displayName: "pip install libraries to agent"
steps:
- checkout: this_template_repo
path: this_template_repo
- bash: |
python3 -m pip install setuptools
python3 -m pip install -e $(Build.SourcesDirectory)/somepypimodule/src --force-reinstall --no-deps
displayName: 'pip install pip package'
My goal is to deploy and run my python script from GitHub to my virtual machine via Azure Pipeline. My azure-pipelines.yml looks like this:
jobs:
- deployment: VMDeploy
displayName: Test_script
environment:
name: deploymentenvironment
resourceType: VirtualMachine
strategy:
rolling:
maxParallel: 2 #for percentages, mention as x%
preDeploy:
steps:
- download: current
- script: echo initialize, cleanup, backup, install certs
deploy:
steps:
- task: Bash#3
inputs:
targetType: 'inline'
script: python3 $(Agent.BuildDirectory)/test_file.py
routeTraffic:
steps:
- script: echo routing traffic
postRouteTraffic:
steps:
- script: echo health check post-route traffic
on:
failure:
steps:
- script: echo Restore from backup! This is on failure
success:
steps:
- script: echo Notify! This is on success
This returns an error:
/usr/bin/python3: can't find '__main__' module in '/home/ubuntu/azagent/_work/1/test_file.py'
##[error]Bash exited with code '1'.
If I place the test_file.py to the /home/ubuntu and replace the deployment script with the following: script: python3 /home/ubuntu/test_file.py the script does run smoothly.
If I move the test_file.py to another directory with mv /home/ubuntu/azagent/_work/1/test_file.py /home/ubuntu I can find an empty folder, not a .py file, named of test_file.py
EDIT
Screenshot from Jobs:
The reason that you can not get the source is because you use download: current to download artifacts produced by the current pipeline run, but you didn't publish any artifact in current pipeline.
As deployment jobs doesn't automatically check out source code, you need either checkout the source in your deployment job,
- checkout: self
or publish the sources to the artifact before downloading it.
- publish: $(Build.SourcesDirectory)
artifact: Artifact_Deploy
I have installed Windows agent and I need to be able run Python scripts. I know I need to install Python, but I have no idea how.
I added Python files from standard installation to
$AGENT_TOOLSDIRECTORY/
Python/
3.8.2/
x64/
{tool files}
x64.complete
Restarted agent, but what now? How to put it to Capabilities?
What I'm missing?
EDIT:
I need to run this YAML task
steps:
- task: UsePythonVersion#0
inputs:
versionSpec: '3.x'
addToPath: true
- script: |
python -m pip install --upgrade pip
pip install -r requirements.txt
displayName: 'Install dependencies'
- task: BatchScript#1
displayName: 'Run script make.bat'
inputs:
filename: make.bat
arguments: html
I have set up a self-hosted agent on a Windows 10 laptop, (for which I have admin access), and I'm running Azure DevOps Express 2020.
I found, downloaded and installed an agent according to the instructions at Download and configure the agent. I used vsts-agent-win-x64-2.170.1.zip and set this up to run as a service, (I guess anyone running it manually needs to double check that it's runnning at show time). I also ran the install command as admin in powershell!
To install a Python version I need to download the appropriate installer from the ftp site at Python.org, eg. for 3.7.9 I've used python-3.7.9-amd64.exe.
I then run this from the command line (CMD run as administrator) without UI with:
python-3.7.9-amd64.exe /quiet InstallAllUsers=0 TargetDir=$AGENT_TOOLSDIRECTORY\Python\3.7.9\x64 Include_launcher=0
(other options for install available in python docs)
Once this is complete, (and it runs in background so will take longer than the initial command), you need to create an empty {platform}.complete file (as described here), in my case this is x64.complete.
This then worked! I did restart the server for this first version, but I've added other python versions since without needing to. My pipeline task was simply:
steps:
- task: UsePythonVersion#0
displayName: 'Use Python $(python.version)'
inputs:
versionSpec: '$(python.version)'
(with a variable python.version set us as a list of versions 3.7.9, 3.8.8)
One key element for me was the file structure, where the documentation says {tool files} this means the python.exe file and other common dirs such as Lib and Scripts. I initially installed these in a sub-dir which didn't work. So it should look like this:
$AGENT_TOOLSDIRECTORY/
Python/
3.7.9/
x64/
Doc/
Lib/
Scripts/
python.exe
...etc...
x64.complete
To be honest I'm mostly relieved that this worked without too much trouble. I gave up trying to get Artifacts to work on-prem. In my limited experience all of this is much easier, and better, on the cloud version. Haven't yet persuaded my employer to take that leap however...
For this issue, in order to use the python version installed in your on-premise machine. You either need to point to the python.exe physical path in cmd task. Or add the python.exe path to environment variable path manually in powershell task. For example:
To use local python in powershell task:
$env:Path += ";c:\{local path to}\Python\Python38\; c:\{local path to}\Python\Python38\Scripts\"
python -V
To use python in CMD task:
c:\{local path to}\Python\Python38\python.exe -V
c:\{local path to}\Python\Python38\Scripts\pip.exe install
So, I think to run python script with private agent, just make sure python is installed locally, then point to python.exe path. You can refer to this case for details.
I added these 4 Tasks before being able to execute python on my pipeline with a vs2017-win2016 agent:
Use Python 3.x
steps:
- task: UsePythonVersion#0
displayName: 'Use Python 3.x'
Use Pip Authenticate
steps:
- task: PipAuthenticate#1
displayName: 'Pip Authenticate'
Use Commandline task
steps:
- script: |
python -m pip install --upgrade pip setuptools wheel
failOnStderr: true
displayName: 'install pip for setup of python framework'
Use Commandline task
steps:
- script: 'pip install -r _python-test-harness/requirements.txt'
failOnStderr: true
displayName: 'install python framework project''s specific requirements'
Hope that helps
I am having some trouble with running my function app in python. When i push the function directly through func azure functionapp publish air-temperature-v2 --no-bundler. This publishes the function directly to portal.azure and the function works as expected. However if i try to commit and push to the Azure repos and it generates its build, everything is successful but when I try to run the function, it gives a module name 'pandas' not found error. It works fine locally & online (using no bundler command). My question is, how can I add the no bundler command in azure python pipeline? My yaml is as follows :
# Python package
# Create and test a Python package on multiple Python versions.
# Add steps that analyze code, save the dist with the build record, publish to a PyPI-compatible index, and more:
# https://learn.microsoft.com/azure/devops/pipelines/languages/python
trigger:
- master
pool:
vmImage: 'ubuntu-latest'
strategy:
matrix:
Python36:
python.version: '3.6'
steps:
- task: UsePythonVersion#0
inputs:
versionSpec: '$(python.version)'
displayName: 'Use Python $(python.version)'
- script: |
python -m pip install --upgrade pip
pip install -r requirements.txt
displayName: 'Install dependencies'
- script: python HttpExample/__init__.py
- task: ArchiveFiles#2
inputs:
rootFolderOrFile: '$(Build.SourcesDirectory)'
includeRootFolder: false
archiveType: 'zip'
archiveFile: '$(Build.ArtifactStagingDirectory)/Application$(Build.BuildId).zip'
replaceExistingArchive: true
verbose: # (no value); this input is optional
- task: PublishBuildArtifacts#1
#- script: |
# pip install pytest pytest-azurepipelines
# pytest
# displayName: 'pytest'
# ignore
- task: AzureFunctionApp#1
inputs:
azureSubscription: 'zohair-rg'
appType: 'functionAppLinux'
appName: 'air-temperature-v2'
package: '$(Build.ArtifactStagingDirectory)/Application$(Build.BuildId).zip'
startUpCommand: 'func azure functionapp publish air-temperature-v2 --no-bundler'
I have even tried add the no bundler command as the startup command but it still does not work.
This could be related to azure-function-core-tools version issue, please try following and deploy:
Please update your azure-function-core-tool version to the latest
Please try to deploy your build using below command:
func azure functionapp publish <app_name> --build remote
There was a similar issue raise sometime back, couldn't recall but this fix worked.
Alternatively , have you considere Azure CLI task to deploy azure function , here is a detailed article explaining the Azure CI CD using azure CLi for python.
https://clemenssiebler.com/deploy-azure-functions-python-azure-devops/
Hope it helps.