Step by step for build , test and deploy using azuredevops pipeline
Tags: python, azuredevops, azure
Published: 2023-09-24 16:06:39

Creating an Azure Pipeline for building, testing, and publishing artifacts for a Python web application involves defining a pipeline configuration file in your source code repository. Here, I'll provide a step-by-step guide to creating a simple Azure Pipeline for a Python web application:

Step 1: Prerequisites

Ensure you have an Azure DevOps organization and project set up.
Have your Python web application code stored in a Git repository (e.g., Azure Repos or GitHub).
Step 2: Create an Azure Pipeline Configuration File

Create a file named azure-pipelines.yml in the root directory of your repository. This file will define the build, test, and artifact publishing stages of your pipeline.

Here's a basic example of an azure-pipelines.yml file:

trigger:
- '*'

pool:
  vmImage: 'ubuntu-latest'

stages:
- stage: Build
  jobs:
  - job: BuildJob
    steps:
    - task: UsePythonVersion@0
      inputs:
        versionSpec: '3.x'
        addToPath: true

    - script: |
        python -m venv venv
        source venv/bin/activate
        pip install -r requirements.txt
      displayName: 'Install Python dependencies'

    - script: |
        python -m unittest discover tests
      displayName: 'Run Unit Tests'

    - task: PublishPipelineArtifact@1
      inputs:
        targetPath: '$(Build.ArtifactStagingDirectory)'
        artifact: 'webapp-artifact'
      condition: succeeded()

  - stage: Deploy
    jobs:
    - job: DeployJob
      steps:
      - download: current
        artifact: 'webapp-artifact'
        displayName: 'Download Artifact'

Matrix based upon on deployment

trigger:
- main

pool:
  vmImage: ubuntu-latest
strategy:
  matrix:
    Python38:
      python.version: '3.8'
    Python39:
      python.version: '3.9'
    Python310:
      python.version: '3.10'

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: |
    pip install pytest pytest-azurepipelines
    pytest
  displayName: 'pytest'

Step 3: Configure Your Python Web Application

Ensure your Python web application is structured correctly with the required files:

requirements.txt: List of Python dependencies.
tests/: Directory containing your unit tests.
Any other necessary application files and directories.
Step 4: Create the Azure Pipeline

Go to your Azure DevOps project.
Navigate to Pipelines > New Pipeline.
Select your source code repository.
Choose "YAML" for the pipeline configuration.
In the YAML editor, make sure it reflects the content of your azure-pipelines.yml file.
Click "Save and Run" to create and trigger the pipeline.
Step 5: Monitor and Troubleshoot

Once the pipeline is running, you can monitor its progress and view logs and test results. If any issues arise, Azure DevOps provides a rich set of diagnostic tools to help you troubleshoot and fix them.

This example provides a basic starting point for your Azure Pipeline. Depending on your specific needs, you may need to add deployment steps, environment variables, or additional configurations to customize your pipeline further.





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