Integrate the Hansei API with the Python API

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

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Popular Hansei and Python Actions#

Get Bot Conversations with the Hansei API

Retrieves a list of conversations with the specified Bot in Hansei. See the documentation

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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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Get Bots with the Hansei API

Retrieves a list of Bots in Hansei. See the documentation

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Get Collections with the Hansei API

Retrieves a list of Collections in Hansei. See the documentation

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Overview of Hansei#

The Hansei API enables you to extract meaningful insights from reflections and journals using AI. By integrating this API with Pipedream, you can automate the process of analyzing and responding to journal entries, streamlining mental health tracking, and personal growth exercises. Pipedream’s serverless platform offers a robust way to connect Hansei with various other apps, allowing for seamless workflow creation and data manipulation.

Connect Hansei#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    hansei: {
      type: "app",
      app: "hansei",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.hansei.app/public/v1/bots`,
      headers: {
        " X-API-KEY": `${this.hansei.$auth.api_key}`,
      },
    })
  },
})

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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