Importing Data from Python Scripts
You can import data directly from a Python script, either by entering the script directly in the task, or by referencing an external script file.
This type of operation may be useful if you want to apply an external script to data before using it in a Rulex workflow, in order to perform a specific operation that requires a low-level programming language, such as deciphering badly formatted text files.
you must have created a flow;
Python 3 software has been installed where Rulex is running.
IPython3 has been installed on the machine where Rulex is running (via pip install ipython)
Miniconda must have been installed on the machine where Rulex Factory is running.
We strongly recommend you to use Python 3.10. After having installed Miniconda, check on your machine that Python 3.10 has been installed. If not, install it manually.
Drag the Python Import Bridge task onto the stage.
Double click the Python Import Bridge task.
Configure the script options as described in the table below.
Save and compute the task.
Advanced Configuration options
Select executable type
Select the executable type you want to use in the task. The options available are:
The Configuration tab changes according to the selected executable.
Executable file area
Drag the Python executable file on this area if you have chosen Python as the executable file type, or drag the conda executable file here if you have chosen Conda as the executable file type. You can browse on your machine to upload the file by clicking on the Select button.
Use user environment
Select this checkbox if you want to use the environment created by Rulex. This option is available only if Conda has been chosen as the executable file type.
Select Conda Environment
In this drop down list, choose the Conda environment you want to use in the task. This option is available only if Conda has been chosen as the executable file type.
Connect Python Bridge
Click on it to open the Interactive Console, where you can write the Python code.
Here you can write the code which will be executed within the task.
The dataset is saved as
Click on this button to save the changes made to the code. The code will be printed in the Script.
Click on this button to delete all the changes made to the code.
Script tab (available for both Python and Conda executable files)
Here you can visualize and edit the Python code, just like in the Interactive Console in the Console tab.
Click this button to execute the code and visualize the results in the Last Execution Output area.
This button saves the code written in the Script area.
Last Execution Output
Here you can visualize the output of the last code execution.