Integrate the Gitea API with the Go API

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

Popular Gitea and Go Actions#

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.

Gitea is an open-source, self-hosted Git service, similar to GitHub. With the Gitea API, you can automate and enhance your software development practices by creating workflows that trigger actions within Gitea or across other connected services. You can manage repositories, automate issue tracking, synchronize with task management systems, and orchestrate continuous integration and deployment processes. Pipedream serves as an integration platform to connect Gitea with hundreds of other apps, allowing for complex automations that can reduce manual effort and improve efficiency.

Connect Gitea#

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

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#

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)
}