Integrate the Imejis.io API with the Python API

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

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Popular Imejis.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 Imejis.io#

The Imejis.io API offers a suite of features that allow for the manipulation and management of images. Using Pipedream as a serverless integration platform, you can automate complex image operations, organize image collections, and connect image data with other services and apps. You can create workflows that respond to events, process images in real-time, and seamlessly integrate with numerous apps available in Pipedream's ecosystem.

Connect Imejis.io#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    imejis_io: {
      type: "app",
      app: "imejis_io",
    }
  },
  async run({steps, $}) {
    const data = {
      "text": `Hello, world!`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.imejis.io/api/designs/{{your_design_id}}`,
      headers: {
        "dma-api-key": `${this.imejis_io.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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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