Integrate the Databox API with the Python API

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

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Popular Databox and Python Actions#

Send Custom Data with the Databox API

Sends custom data. See 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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Overview of Databox#

The Databox API enables you to create custom dashboards, integrating various data sources to track performance metrics in real-time. With Pipedream, you can leverage this API to automate the flow of data between Databox and other applications, creating bespoke monitoring solutions and data-driven workflows that save time and enhance insights.

Connect Databox#

import Databox from 'databox'

export default defineComponent({ 
  props: {
    databox: {
      type: "app",
      app: "databox",
    },
  },
  async run({steps, $}) {
    const client = new Databox({
      push_token: `${this.databox.$auth.token}`
    })
    return await new Promise((resolve) => client.metrics((metrics) => resolve(metrics)))
  }
})

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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