elmah.io

elmah.io is the easy error logging and uptime monitoring service for .NET. Take back control of your errors with support for all .NET web and logging frameworks.

Integrate the elmah.io API with the Python API

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

Run Python Code with Python API on New Error from Elmah.io API
elmah.io + Python
 
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New Error from the elmah.io API

Emit new event on each new error

 
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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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Overview of elmah.io

The elmah.io API allows developers to automate error logging and management in their applications. By using this API, you can create robust monitoring systems that capture, analyze, and notify you of any application errors in real-time. Integrating elmah.io with Pipedream opens up possibilities for streamlining incident responses, correlating errors with system metrics, and improving application stability through automated workflows. With Pipedream's serverless platform, you can connect elmah.io to numerous other services to enhance your error management processes.

Connect elmah.io

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    elmah_io: {
      type: "app",
      app: "elmah_io",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.elmah.io/v3/logs`,
      params: {
        api_key: `${this.elmah_io.$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

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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}}