FME Transformers: 2024.2

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PythonCreator

Creates features with a user-supplied Python script.

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Typical Uses

  • Reading unsupported formats
  • Prototyping Python format plugins
  • Tasks where a transformer is not available

How does it work?

The PythonCreator creates features using the Python script supplied, and sends them into the workspace for processing.

The Python script must be in the form of a Python class. The features can be created either in the input() or close() methods.

The supplied script contains a class called FeatureCreator, which inherits from fme.BaseTransformer. This is a base class that represents the interface expected by the FME infrastructure. See the FME Python module documentation for more information.

Features created in the input() method are created before the first reader is processed. Features created in the close() method are created after all reader features have been processed.

Features are created via the FME Objects Python API.

Note   Python is a programming language external to FME. For documentation on creating Python scripts, visit The Python Foundation.

Using Python to perform arbitrary operations on features is a powerful aspect of FME Workbench. However, the logic introduced into a workspace is less visible and can therefore be more difficult to maintain than logic built using FME Workbench’s built-in transformers. It is recommended that other transformers be used when possible instead of Python scripts.

Example Class

The example below creates a random number of features, between 0 and 9.

Script Editing

A PythonCreator transformer can call scripts stored in the transformer itself or stored globally for the entire workspace:

  • To store a Python script with a specific PythonCreator transformer, use the “Python Script” property of the transformer.
  • To store a Python script globally, click the Advanced Workspace Parameter in the Navigator, and double-click Startup Python Script. Storing scripts globally has the advantage of keeping your Python logic centralized, which makes editing and maintenance easier. This is useful if you want to have multiple PythonCreator transformers throughout your workspace that use the same script. For more information, see Startup and Shutdown Python Scripts in the FME Workbench help.

If you are using extensive Python libraries that you do not want to store inside a workspace: to avoid duplication, you can access .py files on the file system using Python’s import command. In addition to the standard Python module locations, FME will also search the location of the workspace for an imported Python module.

Configuration

Input Ports

None

Output Ports

Parameters

Editing Transformer Parameters

Transformer parameters can be set by directly entering values, using expressions, or referencing other elements in the workspace such as attribute values or user parameters. Various editors and context menus are available to assist. To see what is available, click beside the applicable parameter.

For more information, see Transformer Parameter Menu Options.

Reference

Processing Behavior

Feature-Based or Group-Based, conditional on Python script

Feature Holding

Conditional on Python script

Dependencies
Aliases  
History  

FME Community

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Search for all results about the PythonCreator on the FME Community.

 

Examples may contain information licensed under the Open Government Licence – Vancouver, Open Government Licence - British Columbia, and/or Open Government Licence – Canada.