Thank you for contributing to the Firebase community!

• Have a usage question?
• Think you found a bug?
• Have a feature request?
• Want to submit a pull request?
• Need to get set up locally?

We get lots of those and we love helping you, but GitHub is not the best place for them. Issues which just ask about usage will be closed. Here are some resources to get help:

• Go through the guides
• Read the full API reference

If the official documentation doesn't help, try asking a question on the Firebase Google Group or one of our other official support channels.

Please avoid double posting across multiple channels!

Yeah, we're definitely not perfect!

Search through old issues before submitting a new issue as your question may have already been answered.

If your issue appears to be a bug, and hasn't been reported, open a new issue. Please use the provided bug report template and include a minimal repro.

If you are up to the challenge, submit a pull request with a fix!

Great, we love hearing how we can improve our products! Share you idea through our feature request support channel.

Sweet, we'd love to accept your contribution! Open a new pull request and fill out the provided template.

If you want to implement a new feature, please open an issue with a proposal first so that we can figure out if the feature makes sense and how it will work.

Make sure your changes pass our linter and the tests all pass on your local machine. Most non-trivial changes should include some extra test coverage. If you aren't sure how to add tests, feel free to submit regardless and ask us for some advice.

Finally, you will need to sign our Contributor License Agreement, and go through our code review process before we can accept your pull request.

Contributions to this project must be accompanied by a Contributor License Agreement. You (or your employer) retain the copyright to your contribution. This simply gives us permission to use and redistribute your contributions as part of the project. Head over to https://cla.developers.google.com/ to see your current agreements on file or to sign a new one.

You generally only need to submit a CLA once, so if you've already submitted one (even if it was for a different project), you probably don't need to do it again.

All submissions, including submissions by project members, require review. We use GitHub pull requests for this purpose. Consult GitHub Help for more information on using pull requests.

You need Python 3.7+ to build and test the code in this repo.

We recommend using pip for installing the necessary tools and project dependencies. Most recent versions of Python ship with pip. If your development environment does not already have pip, use the software package manager of your platform (e.g. apt-get, brew) to download and install it. Alternatively you may also follow the official pip installation guide.

Once pip is installed, run the following commands from the command line to get your local environment set up:

$ git clone https://github.com/firebase/firebase-admin-python.git
$ cd firebase-admin-python         # go to the firebase-admin-python directory
$ pip install -r requirements.txt  # Install additional tools and dependencies

We use pylint for verifying source code format, and enforcing other Python programming best practices. There is a pylint configuration file (.pylintrc) at the root of this Git repository. This enables you to invoke pylint directly from the command line:

pylint firebase_admin

However, it is recommended that you use the lint.sh bash script to invoke pylint. This script will run the linter on both firebase_admin and the corresponding tests module. It suppresses some of the noisy warnings that get generated when running pylint on test code. Note that by default lint.sh will only validate the locally modified source files. To validate all source files, pass all as an argument.

./lint.sh      # Lint locally modified source files
./lint.sh all  # Lint all source files

Ideally you should not see any pylint errors or warnings when you run the linter. This means source files are properly formatted, and the linter has not found any issues. If you do observe any errors, fix them before committing or sending a pull request. Details on how to interpret pylint errors are available here.

Our configuration files suppress the verbose reports usually generated by pylint, and only output the detected issues. If you wish to obtain the comprehensive reports, run pylint from command-line with the -r flag.

pylint -r yes firebase_admin

We use pytest for writing and executing unit tests. All source files containing test code is located in the tests/ directory. Simply launch pytest from the root of the Git repository, or from within the tests/ directory to execute all test cases.

pytest

Refer to the pytest usage and invocations guide to learn how to run a subset of all test cases.

You can also get a code coverage report by launching pytest as follows:

pytest --cov=firebase_admin --cov=tests

Integration tests are executed against a real life Firebase project. If you do not already have one suitable for running the tests against, you can create a new project in the Firebase Console following the setup guide below. If you already have a Firebase project, you'll need to obtain credentials to communicate and authorize access to your Firebase project:

1. Service account certificate: This allows access to your Firebase project through a service account which is required for all integration tests. This can be downloaded as a JSON file from the Settings > Service Accounts tab of the Firebase console when you click the Generate new private key button. Copy the file into the repo so it's available at cert.json.

   Note: Service accounts should be carefully managed and their keys should never be stored in publicly accessible source code or repositories.

2. Web API key: This allows for Auth sign-in needed for some Authentication and Tenant Management integration tests. This is displayed in the Settings > General tab of the Firebase console after enabling Authentication as described in the steps below. Copy it and save to a new text file at apikey.txt.

Set up your Firebase project as follows:

1. Enable Authentication:

   1. Go to the Firebase Console, and select Authentication from the Build menu.
   2. Click on Get Started.
   3. Select Sign-in method > Add new provider > Email/Password then enable both the Email/Password and Email link (passwordless sign-in) options.

2. Enable Firestore:

   1. Go to the Firebase Console, and select Firestore Database from the Build menu.
   2. Click on the Create database button. You can choose to set up Firestore either in the production mode or in the test mode.

3. Enable Realtime Database:

   1. Go to the Firebase Console, and select Realtime Database from the Build menu.
   2. Click on the Create Database button. You can choose to set up the Realtime Database either in the locked mode or in the test mode.

   Note: Integration tests are not run against the default Realtime Database reference and are instead run against a database created at https://{PROJECT_ID}.firebaseio.com. This second Realtime Database reference is created in the following steps.

   3. In the Data tab click on the kebab menu (3 dots) and select Create Database.
   4. Enter your Project ID (Found in the General tab in Account Settings) as the Realtime Database reference. Again, you can choose to set up the Realtime Database either in the locked mode or in the test mode.

4. Enable Storage:

   1. Go to the Firebase Console, and select Storage from the Build menu.
   2. Click on the Get started button. You can choose to set up Cloud Storage either in the production mode or in the test mode.

5. Enable the Firebase ML API:

   1. Go to the Google Cloud console | Firebase ML API and make sure your project is selected.
   2. If the API is not already enabled, click Enable.

6. Enable the IAM API:

   1. Go to the Google Cloud console and make sure your Firebase project is selected.
   2. Select APIs & Services from the main menu, and click the ENABLE APIS AND SERVICES button.
   3. Search for and enable Identity and Access Management (IAM) API by Google Enterprise API.

7. Enable Tenant Management:

   1. Go to Google Cloud console | Identity Platform and if it is not already enabled, click Enable.
   2. Then enable multi-tenancy for your project.

8. Ensure your service account has the Firebase Authentication Admin role. This is required to ensure that exported user records contain the password hashes of the user accounts:

   1. Go to Google Cloud console | IAM & admin.
   2. Find your service account in the list. If not added click the pencil icon to edit its permissions.
   3. Click ADD ANOTHER ROLE and choose Firebase Authentication Admin.
   4. Click SAVE.

Now you can invoke the integration test suite as follows:

pytest integration/ --cert cert.json --apikey apikey.txt

Some integration tests can run against emulators. This allows local testing without using real projects or credentials. For now, only the RTDB Emulator is supported.

First, install the Firebase CLI, then run:

firebase emulators:exec --only database --project fake-project-id 'pytest integration/test_db.py'

To review the test coverage, run pytest with the --cov flag. To view a detailed line by line coverage, use

pytest --cov --cov-report html

and point your browser to file:///<dir>/htmlcov/index.html (where dir is the location from which the report was created).

Here are some highlights of the directory structure and notable source files

• firebase_admin/ - Source directory for the firebase_admin module.
• integration/ - Integration tests.
• tests/ - Unit tests.
  • data/ - Provides mocks for several variables as well as mock service account keys.
• scripts/ - A collection of shell scripts used to create and verify releases.
• .github/ - Contribution instructions as well as issue and pull request templates.
• lint.sh - Runs pylint to check for code quality.
• .pylintrc - Default configuration for pylint.
• requirements.txt - Requirements specification for installing project dependencies via pip.
• setup.py - Python setup script for building distribution artifacts.
• tox.ini - Tox configuration for running tests on different environments.