Integrate the Fly.io API with the Python API

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

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Popular Ways to Connect Fly.io with Python#

Run Python Code with Python API on New Event Created from Fly.io API

Fly.io + Python

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Popular Fly.io and Python Triggers#

New Event Created from the Fly.io API

Emit new event when a new event is created in Fly.io. See the documentation

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Popular Fly.io and Python Actions#

Create App with the Fly.io API

Create an app with the specified details in the request body. 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 Machine with the Fly.io API

Create a machine within a specific app using the details provided in the request body. See the documentation

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Create Volume with the Fly.io API

Create a volume for a specific app using the details provided in the request body. See the documentation

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Overview of Fly.io#

Fly.io is a platform that allows you to run full-stack apps and databases close to your users globally. The Fly.io API enables developers to manage applications, handle deployments, and scale their services dynamically. Using the Fly.io API with Pipedream provides a seamless way to automate these operations, integrate with other services, and enhance serverless workflow capabilities.

Connect Fly.io#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    fly_io: {
      type: "app",
      app: "fly_io",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.machines.dev/v1/apps`,
      headers: {
        Authorization: `Bearer ${this.fly_io.$auth.access_token}`,
      },
      params: {
        org_slug: `${this.fly_io.$auth.org_slug}`,
      },
    })
  },
})

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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