Integrate the BusinessLogic API with the Python API

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

Popular BusinessLogic and Python Actions#

Describe Endpoint with the BusinessLogic API

Returns json schemas for input and output parameters of a webservice.

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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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Execute Endpoint with the BusinessLogic API

Executes provided input parameters in the uploaded Excel document to retrieve the calculated output.

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Overview of BusinessLogic#

The BusinessLogic API offers a platform for automating complex business processes and logic. It provides endpoints to create, retrieve, update, and manage business rules and components programmatically. With Pipedream, you can integrate this API into workflows to trigger actions based on business events, manage data across multiple systems, and streamline decision-making processes. By leveraging Pipedream's serverless execution model, you can set up event-driven pipelines that react in real-time to changes in BusinessLogic without managing infrastructure.

Connect BusinessLogic#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    businesslogic: {
      type: "app",
      app: "businesslogic",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.businesslogic.online/describe`,
      headers: {
        "X-Auth-Token": `${this.businesslogic.$auth.live_token}`,
        "Content-Type": `application/json`,
      },
    })
  },
})

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}}