Integrate the DopplerAI API with the Python API

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

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Popular DopplerAI and Python Actions#

Create Chat with the DopplerAI API

Initializes a new chat thread. 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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Create Collection with the DopplerAI API

Establishes a new collection to save uploaded data. See the documentation

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Send Message with the DopplerAI API

Dispatches a message to the artificial intelligence. See the documentation

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Overview of DopplerAI#

DopplerAI's API provides powerful tools for predictive analysis, tapping into AI to forecast trends, analyze data patterns, and make informed decisions. By integrating this API into Pipedream, you can automate workflows that react to insights, combine data from various sources, and trigger actions across apps. It's a fantastic way to turn data into actionable intelligence without manual intervention.

Connect DopplerAI#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dopplerai: {
      type: "app",
      app: "dopplerai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.dopplerai.com/auth/me`,
      headers: {
        Authorization: `Bearer ${this.dopplerai.$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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