camunda-external-task-client-python3 1.1.1

Camunda External Task Client for Python 3

camunda-external-task-client-python

This repository contains Camunda External Task Client written in Pyhon3.

Implement your BPMN Service Task in Python3.

Python >= 3.7 is required

Installing

Add following line to requirements.txt of your Python project.

git+https://github.com/trustfactors/camunda-external-task-client-python.git/#egg=camunda-external-task-client-python

Usage

1. Make sure to have Camunda running.
2. Create a simple process model with an External Service Task and define the topic as 'topicName'.
3. Deploy the process to the Camunda BPM engine.
4. In your Python code:

import time
import asyncio
from camunda.external_task.external_task import ExternalTask, TaskResult
from camunda.external_task.external_task_worker import ExternalTaskWorker

# configuration for the Client
default_config = {
    "maxTasks": 1,
    "lockDuration": 10000,
    "asyncResponseTimeout": 5000,
    "retries": 3,
    "retryTimeout": 5000,
    "sleepSeconds": 30
}

async def handle_task(task: ExternalTask) -> TaskResult:
    """
    This task handler you need to implement with your business logic.
    After completion of business logic call either task.complete() or task.failure() or task.bpmn_error() 
    to report status of task to Camunda
    """
    # add your business logic here
    # ...

    # mark task either complete/failure/bpmnError based on outcome of your business logic
    failure, bpmn_error = random_true(), random_true() # this code simulate random failure
    if failure:
        # this marks task as failed in Camunda
        return task.failure(error_message="task failed",  error_details="failed task details", 
                            max_retries=3, retry_timeout=5000)
    elif bpmn_error:
        return task.bpmn_error(error_cide="BPMN_ERROR_CODE")

    # pass any output variables you may want to send to Camunda as dictionary to complete()
    return task.complete({"var1": 1, "var2": "value"}) 

def random_true():
    current_milli_time = int(round(time.time() * 1000))
    return current_milli_time % 2 == 0

if __name__ == '__main__':
    asyncio.run(ExternalTaskWorker(config=default_config).subscribe("topicName", handle_task))

About External Tasks

External Tasks are service tasks whose execution differs particularly from the execution of other service tasks (e.g. Human Tasks). The execution works in a way that units of work are polled from the engine before being completed.

camunda-external-task-client-python allows you to create easily such client in Python3.

Features

Fetch and Lock

ExternalTaskWorker().subscribe("topicName", handle_task) starts long polling of the Camunda engine for external tasks.

• Polling tasks from the engine works by performing a fetch & lock operation of tasks that have subscriptions. It then calls the handler function passed to subscribe() function. i.e. handle_task in above example.
• Long Polling is done periodically based on the asyncResponseTimeout configuration. Read more about Long Polling.

Complete

from camunda.external_task.external_task import ExternalTask, TaskResult
from camunda.external_task.external_task_worker import ExternalTaskWorker
async def handle_task(task: ExternalTask) -> TaskResult:
    # add your business logic here

    # Complete the task
    # pass any output variables you may want to send to Camunda as dictionary to complete()
    return task.complete({"var1": 1, "var2": "value"})

ExternalTaskWorker().subscribe("topicName", handle_task)

Handle Failure

from camunda.external_task.external_task import ExternalTask, TaskResult
from camunda.external_task.external_task_worker import ExternalTaskWorker
async def handle_task(task: ExternalTask) -> TaskResult:
    # add your business logic here

    # Handle task Failure
    return task.failure(error_message="task failed",  error_details="failed task details", 
                        max_retries=3, retry_timeout=5000)
    # This client/worker uses max_retries if no retries are previously set in the task
    # if retries are previously set then it just decrements that count by one before reporting failure to Camunda
    # when retries are zero, Camunda creates an incident which then manually needs to be looked into on Camunda Cockpit            

ExternalTaskWorker().subscribe("topicName", handle_task)

Handle BPMN Error

from camunda.external_task.external_task import ExternalTask, TaskResult
from camunda.external_task.external_task_worker import ExternalTaskWorker
async def handle_task(task: ExternalTask) -> TaskResult:
    # add your business logic here

    # Handle a BPMN Failure
    return task.bpmn_error(error_code="BPMN_ERROR")

ExternalTaskWorker().subscribe("topicName", handle_task)

Access Process Variables

from camunda.external_task.external_task import ExternalTask, TaskResult
from camunda.external_task.external_task_worker import ExternalTaskWorker
async def handle_task(task: ExternalTask) -> TaskResult:
    # add your business logic here
    # get the process variable 'score'
    score = task.get_variable("score")
    if int(score) >= 100:
        return task.complete(...)
    else:
        return task.failure(...)        

ExternalTaskWorker().subscribe("topicName", handle_task)

License

The source files in this repository are made available under the Apache License Version 2.0.