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    API Reference ↗
    Ontology buildingFunctionsPythonLocal development

    Local development

    You can carry out local development of Python functions repositories, allowing for high-speed iteration in your customized environment.

    Setting up local development for Python functions repositories

    Clone the repository

    1. In the menu bar of your repository, select Work locally to open the dialog and copy the given repository URL.

      The top menu bar of a repository with the "Work locally" option to the right.

      The "Work locally" dialog.

    2. Using the command line, run git clone <URI> on your local machine in a directory of your choice. Then use the cd command to navigate to the repository.

    Limitations

    • The token granted for cloning is short-lived and read-only, with the exception of pushing back to your repository.
    • You will still need to push your changes to Foundry to publish artifacts, or if you wish to run checks or build.

    Set up the development environment

    Prerequisites

    • Ensure Java 17 is installed and that the environment variable JAVA_HOME points to the right Java installation. Java 17 can be downloaded from the Oracle website ↗.

    Setting the JAVA_HOME environment variable based on your operating system:

    • Windows: Run SETX JAVA_HOME -m "<java-home-dir>" in PowerShell. This modifies the system environment variable and you will need to restart the shell for changes to take effect. Alternatively you can run [System.Environment]::SetEnvironmentVariable("JAVA_HOME", "<java-home-dir>") to set JAVA_HOME in the running process.
    • Linux or macOS: Run export JAVA_HOME=<java-home-dir>.
    • Ensure your repository is upgraded to the latest template version by following the steps outline here.
    • Ensure that the environment variables CI, JEMMA, and CA are not set.
    • If running on an Apple silicon Mac, ensure that Rosetta 2 ↗ is installed. You can install Rosetta 2 by running /usr/sbin/softwareupdate --install-rosetta --agree-to-license in the terminal.

    Visual Studio Code

    • Ensure you have Visual Studio Code ↗ installed.
    • Install the Python extension ↗ from the Visual Studio Code site or from the Extensions tab in the application.
    • To auto-generate settings files that configure the Python interpreter for Visual Studio Code, run the command ./gradlew vsCode.

    PyCharm

    • To set up a Python development environment, run the command ./gradlew condaDevelop.

    • Ensure you have JetBrains PyCharm ↗ installed locally.

    • Import the project following the steps outlined here ↗.

    • Choose Add New Interpreter from the Python Interpreter selector ↗ on the status bar.

      add python interpreter screenshot

    • In the left-hand pane of the Add Python Interpreter dialog, select Virtualenv Environment.

      configure python interpreter screenshot

    • Choose Existing environment and set the Interpreter field to the Python interpreter from your Conda environment.

      • For Unix, the Python interpreter path is <your-conda-environment-dir>/bin/python.
      • For Windows, the Python interpreter path is <your-conda-environment-dir>\python.exe.

    Depending on whether the test plugin is enabled, the installed environments would include ./python-functions/build/conda/run-env, ./python-functions/build/conda/test-env, or both. You should pick the test environment if you plan on running tests.

    • Select Ok.