Apache Airavata Python SDK

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

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).

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

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.