Backlog (API)

Project & code management

Integrate the Backlog (API) API with the Python API

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

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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Overview of Backlog (API)

Backlog is a project management tool that enables developers to track and
manage their work. The Backlog API allows developers to programmatically access
and manipulate their Backlog data. With the Backlog API, developers can build
tools and applications that automate and streamline their Backlog workflow.

Some examples of what you can build with the Backlog API:

  • A tool to automatically add new Backlog tasks to your project when code is
    committed to your version control system
  • A dashboard that displays your team's Backlog progress
  • A tool to help you ensure that all your Backlog tasks are properly assigned
  • An integration that automatically creates Backlog tickets when new issues are
    filed in your bug tracker

Connect Backlog (API)

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    backlog_api: {
      type: "app",
      app: "backlog_api",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://xx.backlog.com/api/v2/users/myself`,
      params: {
        apiKey: `${this.backlog_api.$auth.api_key}`,
      },
    })
  },
})

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

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}}