Integrate the CDR Platform API with the Python API

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

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Popular CDR Platform 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 CDR Platform#

The CDR Platform API provides tools for automating and integrating processes related to cyber defense and threat intelligence. With this API, you can access and manage threat data, analyze security incidents, and enhance your cybersecurity measures. Pipedream serves as a powerful platform to create workflows leveraging the CDR Platform API, enabling you to connect with numerous other services, orchestrate complex automations, and react to events in real-time.

Connect CDR Platform#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cdr_platform: {
      type: "app",
      app: "cdr_platform",
    }
  },
  async run({steps, $}) {
    const data = {
      "weight_unit": `g`,
      "currency": `chf`,
      "items": [
        {
          "method_type": "forestation",
          "cdr_amount": 1
        }
      ],
      "client_reference_id": `string`,
      "certificate_display_name": `string`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.cdrplatform.com/v1/cdr/`,
      headers: {
        "Authorization": `Api-Key ${this.cdr_platform.$auth.api_key}`,
      },
      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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