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The Python connector provides the ability to perform functions or operations that are not otherwise available in the built-in connectors of .

Key Capabilities

  • Custom business logic implementation using Python scripting
  • Access to full message context including message headers and file content
  • Integration with external libraries and system commands (Python)
  • Support for complex data transformations and business rule processing

Overview

Python connectors use the Python scripting language to accomplish a wide range of custom behavior. The script configured in the connector is run each time a document is placed in the Transactions tab for the connector. The input document can be read and modified in the script, or the input document can simply trigger the Python script configured in the connector. Python connectors can also be configured to run on a schedule via Receive automation on the Automation tab. After you decide the appropriate task for your Python connector, read the Writing Python documentation to explore how to call various operations.

Connector Configuration

This section contains all of the configurable connector properties.

Python Tab

Options related to writing and testing the script.

Actions

Settings Tab

Configuration

Settings related to the core operation of the connector.

Advanced Settings

Advanced Tab

Message

Logging

Other Settings

Miscellaneous

Automation Tab

Automation Settings

Settings related to the automatic processing of files by the connector.

Performance

Alerts Tab

SLAs Tab

Transactions Tab

This tab lists all messages associated with the connector. Use the search bar to find specific messages, or click the funnel icon to apply a filter. You can filter by time, message direction, and/or status. Options on this tab vary depending on the connector’s action type:
  • If your connector is a Trigger, use the Receive button to start the flow.
  • If your connector is a Transform or Terminal, messages that come from a previous connector in the flow automatically appear in the flow, or you can use the Upload Files button to add files.

Producing Output and Log Entries

Python connectors send data to the output feed through the built-in output item, which is pushed automatically when the script finishes — no explicit push is needed. (To push a custom item instead, set its attributes and call _ctx.push(item).) Following are three common use cases. 1 Create and output a file:
2 Pass an input file as output:
3 Write entries to the connector log file:
In a Python connector, print() writes to the log file for the current message (as shown above). To write to the application log instead, use _ctx.log('level', 'message') with a level of DEBUG, INFO, WARNING, or ERROR.

Macros

Examples