Integrate the Opsgenie API with the Python API

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

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Popular Opsgenie and Python Actions#

Create Alert with the Opsgenie API

Send a new Alert for processing. See the documentation

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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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Get Alert Status with the Opsgenie API

Get the status of the alert with the specified ID. See the documentation

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Overview of Opsgenie#

The Opsgenie API enables automated incident management and alerting to streamline response actions. It allows you to create, update, and manage alerts, as well as configure and query users, schedules, and on-call rotations. Integrating Opsgenie with Pipedream opens up possibilities for orchestrating complex workflows, such as incident triggering from various sources, auto-update of tickets, synchronization with other tools, and much more, all in a serverless environment.

Connect Opsgenie#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    opsgenie: {
      type: "app",
      app: "opsgenie",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.opsgenie.$auth.instance_region}.opsgenie.com/v2/teams`,
      headers: {
        "Authorization": `GenieKey ${this.opsgenie.$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#

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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