Integrate the Sentry API with the Python API

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

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Popular Ways to Connect Sentry with Python#

Run Python Code with Python API on New Issue Event (Instant) from Sentry API

Sentry + Python

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Popular Sentry and Python Triggers#

New Issue Event (Instant) from the Sentry API

Emit new events for issues that have been created or updated.

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Popular Sentry and Python Actions#

List Issue Events with the Sentry API

Return a list of events bound to an issue. See the docs here

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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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List Project Events. with the Sentry API

Return a list of events bound to a project. See the docs here

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List Project Issues. with the Sentry API

Return a list of issues bound to a project. See the docs here

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Update Issue. with the Sentry API

Updates an individual issue's attributes. Only the attributes submitted are modified.See the docs here

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Overview of Sentry#

The Sentry API on Pipedream allows you to automate error tracking and responses in your applications. Sentry's robust issue tracking and release monitoring align with Pipedream's ability to craft custom workflows, enabling developers to connect error alerts to a plethora of other services for notifications, analysis, task management, and more. With Sentry's detailed diagnostic data, these workflows can help reduce downtime by triggering quick actions upon issue detection.

Connect Sentry#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sentry: {
      type: "app",
      app: "sentry",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://sentry.io/api/0/`,
      headers: {
        Authorization: `Bearer ${this.sentry.$auth.auth_token}`,
      },
    })
  },
})

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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