Integrate the Adafruit IO API with the Python API

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

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Popular Adafruit IO 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 Adafruit IO#

Adafruit IO is an API designed for building Internet of Things (IoT) applications. It offers a means to store, share, and manage data from your IoT devices. With Adafruit IO, you can create dashboards to display real-time data, trigger events based on data, and even control outputs. It's a versatile platform that's especially friendly for those getting started with IoT.

Connect Adafruit IO#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    adafruit_io: {
      type: "app",
      app: "adafruit_io",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://io.adafruit.com/api/v2/user`,
      headers: {
        "X-AIO-Key": `${this.adafruit_io.$auth.active_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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