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CI/CD for Python

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📚 Learn more about Python action features, integrations and alternatives.

With Buddy, you can create a pipeline that builds, tests, and deploys Python applications on a push to Git. The configuration is super simple and takes 10 to 15 minutes.

Image loading...Python pipeline example

Configuration is very easy and takes only a couple of minutes.

1. Select your Git repository

Buddy supports all popular Git hosting providers, including GitHub, Bitbucket and GitLab. You can also use your own private Git server, or host code directly on Buddy.

Image loading...Supported Git providers

2. Add a new delivery pipeline

Enter the pipeline's name, select the trigger mode, and define the branch from which Buddy will fetch your code:

Image loading...Exemplary pipeline settings

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Trigger modes

  • Manually (on click) — recommended for Production
  • On events (automatic) — recommended for Development
  • On schedule (on time interval) — recommended for Staging/Testing
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Event-based triggers allow you to run pipelines whenever a push is made to any branch in the repository, or whenever a branch, tag or a pull request is created or deleted. Image loading...On event pipeline trigger mode

3. Add actions

Buddy lets you choose from dozens of predefined actions. In this example, we'll add 4 actions that will perform the following tasks:

  • Build and test your Python application
  • Upload application to server
  • Run db migrations & restart application
  • Send notification to Slack

3.1 Build and test your Python app

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Build actions in Buddy are run in isolated containers run from official Docker images. When the pipeline is run, Buddy pulls the container, runs build commands, and uploads the results to the pipeline filesystem.

Look up and click Python on the action list to add it to the pipeline:

Image loading...Action list

The Run tab lets you determine the commands to execute. The default commands are:

bash
pip install -r requirements.txt
nosetests$$

Image loading...Default Python build commands

3.1.2 Python version

You can change the version of Python and install missing packages & tools in the runtime environment tab:

Image loading...Python action image

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If your tests require a database to run, you can attach it in the Services tab: Image loading...Services tab

3.2 Deploy application to server

The built application needs to be uploaded to the server. Head to the Transfer section and select your action (SFTP in our case):

Image loading...File transfer actions

When adding the action you can choose what and where should be uploaded:

Image loading...SFTP action configuration

3.3 Run db migrations & restart application

Once the app is deployed, you can run additional commands on your server with the SSH action:

Image loading...SSH action selection

Enter the commands to execute in Run CMDs and configure authentication details in the Target tab:

Image loading...Application restart command

3.4 Send notification to Slack

You can configure Buddy to send your team a message after the deployment. In this example we'll use Slack:

Image loading...Notification actions

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If you add this action in the On Failure tab, Buddy will only send the message if something goes wrong with your build or deployment. Image loading...On failure notification

4. Summary

Congratulations! You have just automated your entire delivery process. Make a push to the selected branch and watch Buddy fetch, build, and deploy your project. With Continuous Delivery applied, you can now focus on what's really important: developing awesome apps! 🔥

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Bear in mind that this article is only a brief example of what Buddy can do. You can create additional pipelines for staging and production environments, integrate with your favorite services (AWS, Google, Azure), trigger tests on pull requests, build Docker images, and push them to the registry—the possibilities are unlimited.
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If you want us to create a delivery pipeline for your project, drop a line to support@buddy.works – we'll be happy to help!

Last modified on Sep 23, 2024

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