Description:

pyflyde 0.0.8

PyFlyde


Python runtime for Flyde with Data Engineering emphasis.

Links:

Flyde homepage
Documentation

Getting started
You need Python 3.9+ installed on your machine to run PyFlyde.
Then you can install PyFlyde using pip:
pip install pyflyde

Running the examples
You can copy examples folder from this repository to your local project to give it a try. Then you can run the example flow with:
pyflyde examples/HelloWorld.flyde

To run other examples you would need to install their dependencies:
pip install examples/

Using the visual editor
Install Flyde VSCode extension from the marketplace. It will open existing .flyde files in the visual editor. You can call Flyde: New Visual Flow command in VSCode to create a new flow file.
You can browse the component library in the panel on the right. To see your local components click the "View all" button. They will appear under the "Current project". Note that PyFlyde doesn't implement all of the Flyde's stdlib components, only a few essential ones.
Whenever you change your component library classes or their interfaces, use pyflyde gen command to generate .flyde.ts definitions, e.g.:
pyflyde gen examples/mylib/components.py

Flyde editor needs .flyde.ts files in order to "see" your components.
Running a Machine Learning example and creating your first project
For further details please check Quickstart guide.
Contributing
Install dev dependencies
pip install .\[dev\]

Run tests, linters and coverage reports
To run tests only:
make test

To run tests with coverage and see report:
make cover report

To run linters:
make lint

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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