Overview
This node executes a custom Python script once, using the input data provided as a variable within the script. It is useful for scenarios where users want to run arbitrary Python code to process or analyze input data, perform custom computations, or integrate Python-based logic into their workflow. For example, users can manipulate input JSON data, call Python libraries, or generate custom output by writing their own Python code.
Use Case Examples
- Processing a list of input items to generate a summary report in Python.
- Running a Python script to transform input JSON data and output results.
- Executing custom Python code that interacts with environment variables and input data.
Properties
| Name | Meaning |
|---|---|
| Python Code | The custom Python script to execute. The script runs once and receives input data as the variable 'input_items'. Environment variables are also available as 'env_vars'. This property allows multiline Python code input. |
| Python Executable | The path to the Python executable to use for running the script. Can be 'python3', 'python', or a full path to a Python interpreter. |
Output
JSON
exitCode- The exit code of the Python script process.stdout- The standard output produced by the Python script.stderr- The standard error output produced by the Python script.success- Boolean indicating if the script exited successfully (exit code 0).error- Error message if the script failed to execute properly.inputItemsCount- The count of input items passed to the script.executedAt- Timestamp when the script was executed.
Dependencies
- Requires a Python interpreter available at the specified path.
- Optionally uses environment variables from an API key credential to set environment variables for the Python process.
Troubleshooting
- If the Python executable path is incorrect or Python is not installed, the node will fail to run the script.
- If the Python script exits with a non-zero code, the node throws an error unless 'continue on fail' is enabled.
- Errors in the Python code itself will cause the script to fail; users should ensure their Python code is syntactically correct and handles input data properly.
- If environment variables are malformed or missing, the script may not behave as expected.