The Celonis Execution Management System helps businesses maximize execution capacity across the enterprise.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
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.
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}`,
},
})
},
})
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:
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}}