Trainual

The training manual for your team. The playbook for your business —SOPs, Onboarding, Training, Process, Knowledge, all-in-one —

Integrate the Trainual API with the Python API

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

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.

 
Try it

Overview of Trainual

The Trainual API allows you to automate processes around creating, managing, and reporting on training within your organization. With this API on Pipedream, you can build workflows for managing users, subjects, topics, tests, and more, streamlining the onboarding and continuous education processes. By integrating Trainual with other apps on Pipedream, you can create dynamic, cross-functional automations that keep your team learning in sync with other business processes.

Connect Trainual

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    trainual: {
      type: "app",
      app: "trainual",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.trainual.com/v1/users`,
      headers: {
        "Content-Type": `application/json`,
      },
      auth: {
        username: `${this.trainual.$auth.email}&${this.trainual.$auth.account_id}`,
        password: `${this.trainual.$auth.password}`,
      },
    })
  },
})

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

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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}}