Celonis EMS

The Celonis Execution Management System helps businesses maximize execution capacity across the enterprise.

Integrate the Celonis EMS API with the Python API

Setup the Celonis EMS API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Celonis EMS and Python remarkably fast. Free for developers.

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
Try it

Overview of Celonis EMS

The Celonis EMS API allows you to harness the power of process mining and execution management within your workflows. Integrated within Pipedream, this API enables you to automate actions based on process insights, such as identifying bottlenecks and initiating corrective measures. You can trigger workflows from Celonis data, send data back into Celonis for deeper analysis, or even mix data from different sources for rich, actionable insights.

Connect Celonis EMS

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    celonis_ems: {
      type: "app",
      app: "celonis_ems",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.celonis_ems.$auth.team}.${this.celonis_ems.$auth.cluster}.celonis.cloud/intelligence/api/knowledge-models`,
      headers: {
        Authorization: `Bearer ${this.celonis_ems.$auth.api_key}`,
      },
    })
  },
})

Overview of Python

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python

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def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}