Python Node

Overview

Use Python Task to create a python-type task and execute python scripts. When the worker executes Python Task, it will generate a temporary python script, and executes the script by the Linux user with the same name as the tenant.

Create Task

• Click Project Management-Project Name-Workflow Definition, and click the “Create Workflow” button to enter the DAG editing page.
• Drag from the toolbar to the canvas.

Task Parameter

• Node name: The node name in a workflow definition is unique.
• Run flag: Identifies whether this node can be scheduled normally, if it does not need to be executed, you can turn on the prohibition switch.
• Descriptive information: Describe the function of the node.
• Task priority: When the number of worker threads is insufficient, execute in the order of priority from high to low, and tasks with the same priority will execute in a first-in first-out order.
• Worker grouping: Assign tasks to the machines of the worker group to execute. If Default is selected, randomly select a worker machine for execution.
• Environment Name: Configure the environment name in which to run the script.
• Number of failed retry attempts: The failure task resubmitting times. It supports drop-down and hand-filling.
• Failed retry interval: The time interval for resubmitting the task after a failed task. It supports drop-down and hand-filling.
• Timeout alarm: Check the timeout alarm and timeout failure. When the task exceeds the “timeout period”, an alarm email will send and the task execution will fail.
• Script: Python program developed by the user.
• Resource: Refers to the list of resource files that need to be called in the script, and the files uploaded or created by the resource center-file management.
• Custom parameters: It is the user-defined parameters of Python, which will replace the content with ${variable} in the script.

Task Example

Simply Print

This example simulates a common task that runs by a simple command. The example is to print one line in the log file, as shown in the following figure: “This is a demo of python task”.

print("This is a demo of python task")

Custom Parameters

This example simulates a custom parameter task. We use parameters for reusing existing tasks as template or coping with the dynamic task. In this case, we declare a custom parameter named “param_key”, with the value “param_val”. Then we use echo to print the parameter “${param_key}” we just declared. After running this example, we would see “param_val” print in the log.

print("${param_key}")

Notice

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