ryvencore-qt
provides Qt-based GUI classes for ryvencore, to provide a visual flow-based programming interface. The Ryven editor is built on top of ryvencore-qt
, and their development is currently tightly coupled.
You need to have Python and pip installed. Then, either install from PyPI using pip:
pip install ryvencore-qt
or build from sources
git clone https://github.com/leon-thomm/ryvencore-qt
cd ryvencore-qt
pip install .
ryvencore-qt uses Python bindings for Qt using QtPy. I usually run it with PySide2, running on PySide6 should also work with minor changes. PyQt is not supported, due to crucial inheritance restrictions in PyQt.
An extensive documentation doesn't currently exist.
The below code demonstrates how to set up an editor with custom defined nodes. You can also find the code in the examples folder.
main.py
# Qt
import sys
import os
os.environ['QT_API'] = 'pyside2' # tells QtPy to use PySide2
from qtpy.QtWidgets import QMainWindow, QApplication
# ryvencore-qt
import ryvencore_qt as rc
from nodes import export_nodes
if __name__ == "__main__":
# first, we create the Qt application and a window
app = QApplication()
mw = QMainWindow()
# now we initialize a new ryvencore-qt session
session = rc.Session()
session.design.set_flow_theme(name='pure light') # setting the design theme
# and register our nodes
session.register_nodes(export_nodes)
# to get a flow where we can place nodes, we need to crate a new script
script = session.create_script('hello world', flow_view_size=[800, 500])
# getting the flow widget of the newly created script
flow_view = session.flow_views[script]
mw.setCentralWidget(flow_view) # and show it in the main window
# finally, show the window and run the application
mw.show()
sys.exit(app.exec_())
nodes.py
import ryvencore_qt as rc
from random import random
# let's define some nodes
# to easily see something in action, we create one node generating random numbers, and one that prints them
class PrintNode(rc.Node):
"""Prints your data"""
title = 'Print'
init_inputs = [
rc.NodeInputBP(),
]
init_outputs = []
color = '#A9D5EF'
# we could also skip the constructor here
def __init__(self, params):
super().__init__(params)
def update_event(self, inp=-1):
print(
self.input(0) # get data from the first input
)
class RandNode(rc.Node):
"""Generates scaled random float values"""
title = 'Rand'
init_inputs = [
rc.NodeInputBP(dtype=rc.dtypes.Data(default=1)),
]
init_outputs = [
rc.NodeOutputBP(),
]
color = '#fcba03'
def update_event(self, inp=-1):
# random float between 0 and value at input
val = random() * self.input(0)
# setting the value of the first output
self.set_output_val(0, val)
export_nodes = [
PrintNode,
RandNode,
]
The individual subpackages have their own READMEs giving a quick overview which should be quite helpful to gain understanding about implementations.
Cheers.