airavata-python-sdk 2.1.6

Apache Airavata Python SDK

Apache Airavata Python SDK

The Apache Airavata Python SDK for third party clients to integrate with Airavata middleware

Folder Structure

• airavata Includes thrift stubs generated by a thrift compiler. Mainly contains data model and functions. You may need to import data model packages to integrate with clients.
• airavata_sdk
  • clients Includes integration clients, which you want to import and integrate with your code to access airavata middleware.
  • samples Includes set of sample implementation of integration clients to demonastrate the integration with airavata middleware
  • transport Includes connection handling classes and connection pool implementations
• airavata_experiments Python APIs to run experiments from anywhere. Handles uploading data, running experiments, tracking progress, and fetching data from past runs.
• airavata_jupyter_magic Jupyter Plugin providing magic annotations (%) to shift notebook runtimes between resources (local/remote).

Before Integration

• Create a virtual environment

  python3 -m venv venv
  

• Activate the virtual environment

  source venv/bin/activate
  

• Install dependencies

  pip install -e .
  

• Create a INI file containing server configuration details. For more information refer to default settings file settings.ini

Generating Distribution Archives (Optional)

You can generate a *.tar.gz distribution and install to any external project.

• Make sure you have the latest versions of build and setuptools installed

  python3 -m pip install --upgrade build setuptools
  

• Now run this command from the same directory where pyproject.toml is located

  python3 -m build .
  

• This command should output a lot of text and once completed should generate two files in the dist directory

  dist/
      airavata_python_sdk-2.0.0-py2.py3-none-any.whl
      airavata-python-sdk-2.0.0.tar.gz
  

Now, you should be able to install those packages into your project.