Lifx

Wi-Fi enabled LED smart lights

Integrate the Lifx API with the Go API

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

Run Go Code with the Go API

Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.

 
Try it

Overview of Lifx

With the Lifx API, you have the power to control your Lifx smart lights programmatically. This API lets you change the color, brightness, and power state of your bulbs, and it also allows you to access information on the lights' settings and environment. Pipedream's serverless platform leverages this functionality to create automations that can be triggered by various events. You can set your lights to respond to external factors like the weather, implement them into your smart home routines, or sync them with your productivity apps for visual notifications.

Connect Lifx

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    lifx: {
      type: "app",
      app: "lifx",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.lifx.com/v1/lights/all`,
      headers: {
        Authorization: `Bearer ${this.lifx.$auth.oauth_access_token}`,
      },
    })
  },
})

Overview of Go

You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.

Connect Go

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package main

import (
	"fmt"

	pd "github.com/PipedreamHQ/pipedream-go"
)

func main() {
	// Access previous step data using pd.Steps
	fmt.Println(pd.Steps)

	// Export data using pd.Export
	data := make(map[string]interface{})
	data["name"] = "Luke"
	pd.Export("data", data)
}