Integrate the Terraform API with the Python API

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

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Popular Ways to Connect Terraform with Python#

Run Python Code with Python API on New Run Createe from Terraform API

Terraform + Python

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Popular Terraform and Python Triggers#

New Run Createe from the Terraform API

Emit new event when a new run is created in Terraform.

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Popular Terraform and Python Actions#

Create Run with the Terraform API

Creates a new run in Terraform. 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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List Runs with the Terraform API

Retrieves a list of runs in a workspace in Terraform. See the documentation

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Overview of Terraform#

The Terraform API allows for the automation of infrastructure as code (IaC) management tasks. With Pipedream, you can orchestrate workflows that interact with Terraform to create, update, or destroy infrastructure programmatically. You can trigger workflows with webhooks, schedule them, or run them in response to events from other services. By integrating Terraform with Pipedream, you can streamline your DevOps processes, enforce compliance, and manage infrastructure changes with ease.

Connect Terraform#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    terraform: {
      type: "app",
      app: "terraform",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.terraform.io/api/v2/account/details`,
      headers: {
        Authorization: `Bearer ${this.terraform.$auth.api_token}`,
        "Content-Type": `application/vnd.api+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}}

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