Integrate the Impression API with the Python API

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

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Popular Impression 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 Impression#

The Impression API provides robust solutions for automating compliance tracking and streamlining security processes. Leveraging it on Pipedream enables users to create dynamic, serverless workflows that integrate seamlessly with various services and apps. With this API, you can automate the collection of compliance evidence, monitor security controls, and receive real-time alerts for compliance status changes. This not only saves time but also ensures a consistent and up-to-date overview of your security posture.

Connect Impression#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    impression: {
      type: "app",
      app: "impression",
    }
  },
  async run({steps, $}) {
    const data = {
      "extension": `docx`,
      "doc": `string`,
    }
    return await axios($, {
      method: "post",
      url: `https://mobile.impression.cloud/api/uat/GetRoles`,
      headers: {
        "x-api-key": `${this.impression.$auth.api_key}`,
        "accept": `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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