Install Python packages from private sources

Python packages can be installed into your image from both public and private sources. To install packages listed on private PyPI indices or a private git-based repository, you need to complete additional configuration in your project. Depending on where your private packages are stored, use one of the following setups to install these packages to an Astro project by customizing your Runtime image.

Deploying a custom Runtime image with a CI/CD pipeline requires additional configurations. For an example implementation, see the GitHub Actions CI/CD templates for Astro and Astro Private Cloud.

Setup

Private GitHub Repo
Private PyPi Index

Install Python packages from private GitHub repositories

This topic provides instructions for building your Astro project with Python packages from a private GitHub repository. Although GitHub is used in these examples, the same approach works with any hosted Git repository.

Using .netrc build secrets
Using SSH keys

Use the --build-secrets flag to pass .netrc credentials at build time. This approach lets you add private packages to your requirements.txt file without custom Dockerfile configuration.

This method requires Astro Runtime 3.1-14+, 3.0-15+, or later than 13.5.1.

Prerequisites

The Astro CLI
An Astro project
Custom Python packages that are installable with pip
A private GitHub repository for each of your custom Python packages
The GitHub CLI or a GitHub personal access token

Step 1: Specify the private repository in your project

Add your private packages to your requirements.txt file using HTTPS URLs in the following format:

git+https://github.com/<your-github-organization-name>/<your-private-repository>.git

For example, to install mypackage1 and mypackage2 from myorganization:

git+https://github.com/myorganization/mypackage1.git
git+https://github.com/myorganization/mypackage2.git

Step 2: Configure credentials

Define the NETRC_CONTENT environment variable in your shell profile (.bashrc or .zshrc):

export NETRC_CONTENT="machine github.com login oauth2 password $(gh auth token)"

If you don’t use the GitHub CLI, replace $(gh auth token) with a GitHub personal access token that has access to your private repositories.

Step 3: Run with build secrets

Pass the --build-secrets flag when running Astro CLI commands:

astro dev start --build-secrets id=netrc,env=NETRC_CONTENT

To run tests:

astro dev pytest --build-secrets id=netrc,env=NETRC_CONTENT

The --build-secrets flag securely provides the .netrc content during the Docker build without storing credentials in the image.

Deploy with GitHub Actions

To build your image in a GitHub Actions workflow, pass the .netrc content as a build secret:

- name: Build image
  uses: docker/build-push-action@v4
  with:
    context: .
    secrets: |
      netrc=machine github.com login oauth2 password ${{ secrets.GITHUB_TOKEN }}

Deploy with the Astronomer deploy action

To deploy using the Astronomer deploy action, pass the .netrc content through build-secrets and set the NETRC_CONTENT environment variable:

- name: Deploy to Astro
  uses: astronomer/deploy-action@v0.x
  with:
    build-secrets: id=netrc,env=NETRC_CONTENT
    # ... deployment-id, etc.
  env:
    NETRC_CONTENT: "machine github.com login oauth2 password ${{ secrets.GITHUB_TOKEN }}"

The following setup has been validated with only a single SSH key. You might need to modify this setup when using more than one SSH key per Docker image.

Prerequisites

The Astro CLI
An Astro project
Custom Python packages that are installable with pip
A private GitHub repository for each of your custom Python packages
A GitHub SSH private key authorized to access your private GitHub repositories

This setup assumes that each custom Python package is hosted within its own private GitHub repository. Installing multiple custom packages from a single private GitHub repository is not supported.

If your organization enforces SAML single sign-on (SSO), you must first authorize your key to be used with that authentication method. See Authorizing an SSH key for use with SAML single sign-on.

Step 1: Specify the private repository in your project

To add a Python package from a private repository to your Astro project, specify the Secure Shell (SSH) URL for the repository in a new private-requirements.txt file. Use the following format for the SSH URL:

git+ssh://git@github.com/<your-github-organization-name>/<your-private-repository>.git

For example, to install mypackage1 and mypackage2 from myorganization, add the following to your private-requirements.txt file:

git+ssh://git@github.com/myorganization/mypackage1.git
git+ssh://git@github.com/myorganization/mypackage2.git

This example assumes that the name of each of your Python packages is identical to the name of its corresponding GitHub repository. In other words,mypackage1 is both the name of the package and the name of the repository.

Step 2: Update Dockerfile

(Optional) Copy and save any existing build steps in your Dockerfile.
Add the following to your packages.txt file:
openssh-client git
In your Dockerfile, add the following instructions:
USER root RUN mkdir -p -m 0700 ~/.ssh && \ echo "github.com ssh-ed25519 AAAAC3NzaC1lZDI1NTE5AAAAIOMqqnkVzrm0SdG6UOoqKLsabgH5C9okWi0dh2l9GKJl" >> ~/.ssh/known_hosts COPY private-requirements.txt . RUN --mount=type=ssh,id=github pip install --no-cache-dir --requirement private-requirements.txt USER astro ENV PATH="/home/astro/.local/bin:$PATH"
In order, these instructions:
- Switch to root user for SSH setup and installation from private repository
- Add the fingerprint for GitHub to known_hosts
- Copy your private-requirements.txt file into the image
- Install Python-level packages from your private repository as specified in your private-requirements.txt file. This securely mounts your SSH key at build time, ensuring that the key itself is not stored in the resulting Docker image filesystem or metadata.
- Switch back to astro user
- Add the user bin directory to PATH

See GitHub’s documentation for all available SSH key fingerprints.If your repository isn’t hosted on GitHub, replace the fingerprint with one from where the package is hosted. Use ssh-keyscan to generate the fingerprint.

Step 3: Build a custom Docker image

Run the following command to automatically generate a unique image name:
image_name=astro-$(date +%Y%m%d%H%M%S)
Run the following command to create a new Docker image from your Dockerfile. Replace <ssh-key> with your SSH private key file name.
DOCKER_BUILDKIT=1 docker build -f Dockerfile --progress=plain --ssh=github="$HOME/.ssh/<ssh-key>" -t $image_name .
(Optional) Test your Dags locally. See Restart your local environment.
Deploy the image to Astro using the Astro CLI:
astro deploy --image-name $image_name

Your Astro project can now use Python packages from your private GitHub repository.

Install Python packages from a private PyPI index

Installing Python packages on Astro from a private PyPI index is required for organizations that deploy a private PyPI server (private-pypi) as a secure layer between pip and a Python package storage backend, such as GitHub, AWS, or a local file system or managed service.To complete this setup, you’ll specify your privately hosted Python packages in requirements.txt.

Prerequisites

An Astro project
A private PyPI index with a corresponding username and password

Add Python packages to your Astro project

To install a Python package from a private PyPI index, add the package name and version to the requirements.txt file of your Astro project.If you don’t specify a version, Astro installs the latest version. Use the same syntax for installing private packages that you use when you add public packages from PyPI. Your requirements.txt file can contain both publicly accessible and private packages.At the beginning of the requirements.txt file, add --index-url https://myuser:example.com/api/pypi/pypi/simple for Airflow 3 based projects and --extra-index-url https://myuser:example.com/api/pypi/pypi/simple for Airflow 2 based projects. Replace this example URL with your index’s location.

Example `requirements.txt`

--index-url https://myuser:example.com/api/pypi/pypi/simple
pandas
my-custom-package-company
apache-airflow-providers-snowflake

If your organization configures pip globally with /etc/pip.conf, ensure that the following is included:

[global]
constraint = /etc/pip-constraints.txt

The constraint setting ensures that dependencies are pinned to versions compatible with your Airflow version on Astro. Omitting the constraint setting can lead to compatibility issues.

Your Astro project can now use Python packages from your private PyPi index.

Overview

Install the CLI

Develop with the CLI

Configure the CLI

Release information

Archived versions

Install Python packages from private sources

Setup

Install Python packages from private GitHub repositories

Prerequisites

Step 1: Specify the private repository in your project

Step 2: Configure credentials

Step 3: Run with build secrets

Deploy with GitHub Actions

Deploy with the Astronomer deploy action

Prerequisites

Step 1: Specify the private repository in your project

Step 2: Update Dockerfile

Step 3: Build a custom Docker image

Install Python packages from a private PyPI index

Prerequisites

Add Python packages to your Astro project

Example `requirements.txt`

​Setup

​Install Python packages from private GitHub repositories

​Prerequisites

​Step 1: Specify the private repository in your project

​Step 2: Configure credentials

​Step 3: Run with build secrets

​Deploy with GitHub Actions

​Deploy with the Astronomer deploy action

​Prerequisites

​Step 1: Specify the private repository in your project

​Step 2: Update Dockerfile

​Step 3: Build a custom Docker image

​Install Python packages from a private PyPI index

​Prerequisites

​Add Python packages to your Astro project

​Example requirements.txt

Setup

Install Python packages from private GitHub repositories

Prerequisites

Step 1: Specify the private repository in your project

Step 2: Configure credentials

Step 3: Run with build secrets

Deploy with GitHub Actions

Deploy with the Astronomer deploy action

Prerequisites

Step 1: Specify the private repository in your project

Step 2: Update Dockerfile

Step 3: Build a custom Docker image

Install Python packages from a private PyPI index

Prerequisites

Add Python packages to your Astro project

Example `requirements.txt`