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with Google Chat (Service Account Key) and Python?

Prompt, edit and deploy AI agents that connect to Google Chat (Service Account Key), Python and 3,000+ other apps in seconds.

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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.

 
Try it
Integrate the Google Chat (Service Account Key) API with the Python API
Setup the Google Chat (Service Account Key) API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Google Chat (Service Account Key) and Python remarkably fast. Free for developers.

Connect Google Chat (Service Account Key)

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module.exports = defineComponent({
  props: {
    google_chat_service_account_key: {
      type: "app",
      app: "google_chat_service_account_key",
    }
  },
  async run({ steps, $ }) {
    // Required workaround to get the @google-cloud/storage package
    // working correctly on Pipedream
    require("@dylburger/umask")();
    const { google } = require("googleapis");

    const key = JSON.parse(this.google_chat_service_account_key.$auth.key_json);
    const auth = new google.auth.JWT({
      email: key.client_email,
      key: key.private_key,
      scopes: ["https://www.googleapis.com/auth/chat.bot"],
    });

    const chat = google.chat({ version: "v1", auth });
    // Returns spaces the bot has access to
    return await chat.spaces.list();
  },
})

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}}

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Scale AI logo
Webflow logo
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Adyen logo
Appcues logo
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Checkr logo
ChartMogul logo
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