Integrate the SolarWinds Service Desk API with the Python API

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

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Popular SolarWinds Service Desk and Python Actions#

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.

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Overview of SolarWinds Service Desk#

The SolarWinds Service Desk API provides a way to automate and integrate your IT service management processes. Using this API in Pipedream, you can create, update, and track service requests, manage incidents, problems, and changes, access asset information, and leverage user data within your workflows. It's about connecting your service desk with other apps to streamline processes, reduce response times, and enhance service delivery.

Connect SolarWinds Service Desk#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    solarwinds_service_desk: {
      type: "app",
      app: "solarwinds_service_desk",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.samanage.com/users.json`,
      headers: {
        "X-Samanage-Authorization": `Bearer ${this.solarwinds_service_desk.$auth.json_web_token}`,
        "Accept": `application/json`,
      },
    })
  },
})

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#

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}}

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