with Celonis EMS and Go?
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go 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}`,
},
})
},
})
You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.
package main
import (
"fmt"
pd "github.com/PipedreamHQ/pipedream-go"
)
func main() {
// Access previous step data using pd.Steps
fmt.Println(pd.Steps)
// Export data using pd.Export
data := make(map[string]interface{})
data["name"] = "Luke"
pd.Export("data", data)
}