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