← Gitlab + Python integrations

Run Python Code with Python API on New Milestone from Gitlab API

Pipedream makes it easy to connect APIs for Python, Gitlab and 1000+ other apps remarkably fast.

Trigger workflow on
New Milestone from the Gitlab API
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Run Python Code with the Python API
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Getting Started

This integration creates a workflow with a Gitlab trigger and Python action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Select this integration
  2. Configure the New Milestone trigger
    1. Connect your Gitlab account
    2. Configure timer
    3. Select a Project ID
  3. Configure the Run Python Code action
    1. Connect your Python account
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. Turn on the trigger

Details

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger

Description:Emit new event when a milestone is created in a project
Version:0.1.1
Key:gitlab-new-milestone

Gitlab Overview

Gitlab API allows developers to access the functionality of Gitlab. With the
Gitlab API, developers can integrate Gitlab with other applications, create
custom applications, or automate tasks.

Some examples of what you can build using the Gitlab API include:

  • Automate tasks such as creating and managing repositories
  • Integrate Gitlab with other applications such as your chat application
  • Create custom applications on top of Gitlab

Trigger Code

import gitlab from "../../gitlab.app.mjs";
import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";

export default {
  key: "gitlab-new-milestone",
  name: "New Milestone",
  description: "Emit new event when a milestone is created in a project",
  version: "0.1.1",
  dedupe: "greatest",
  type: "source",
  props: {
    gitlab,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    projectId: {
      propDefinition: [
        gitlab,
        "projectId",
      ],
    },
  },
  hooks: {
    async activate() {
      const milestones = await this.gitlab.listMilestones(this.projectId, {
        max: 1,
      });
      if (milestones.length > 0) {
        const lastProcessedMilestoneId = milestones[0].id;
        this.db.set("lastProcessedMilestoneId", lastProcessedMilestoneId);
        console.log(`Polling GitLab milestones created after ID ${lastProcessedMilestoneId}`);
      }
    },
  },
  methods: {
    _getLastProcessedMilestoneId() {
      return this.db.get("lastProcessedMilestoneId");
    },
    _setLastProcessedMilestoneId(lastProcessedMilestoneId) {
      this.db.set("lastProcessedMilestoneId", lastProcessedMilestoneId);
    },
    generateMeta(data) {
      const {
        id,
        created_at: createdAt,
        title,
      } = data;
      return {
        id,
        summary: `New milestone: ${title}`,
        ts: +new Date(createdAt),
      };
    },
  },
  async run() {
    // We use the ID of the last processed milestone so that we
    // don't emit events for them (i.e. we only want to emit events
    // for new milestones).
    let lastProcessedMilestoneId = this._getLastProcessedMilestoneId();
    const milestones = await this.gitlab.getUnprocessedMilestones(
      this.projectId,
      lastProcessedMilestoneId,
    );

    if (milestones.length === 0) {
      console.log("No new GitLab milestones detected");
      return;
    }

    console.log(`Detected ${milestones.length} new milestones`);

    // We store the most recent milestone ID in the DB so that
    // we don't process it (and previous milestones) in future runs.
    lastProcessedMilestoneId = milestones[0].id;
    this._setLastProcessedMilestoneId(lastProcessedMilestoneId);

    // We need to sort the retrieved milestones
    // in reverse order (since the Gitlab API sorts them
    // from most to least recent) and emit an event for each
    // one of them.
    milestones.reverse().forEach((milestone) => {
      const meta = this.generateMeta(milestone);
      this.$emit(milestone, meta);
    });
  },
};

Trigger Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.
LabelPropTypeDescription
GitlabgitlabappThis component uses the Gitlab app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
timer$.interface.timer
Project IDprojectIdintegerSelect a value from the drop down menu.

Trigger Authentication

Gitlab uses OAuth authentication. When you connect your Gitlab account, Pipedream will open a popup window where you can sign into Gitlab and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Gitlab API.

Pipedream requests the following authorization scopes when you connect your account:

apiread_userread_repositorywrite_repositoryread_registrysudoopenidprofileemail

About Gitlab

Project planning and source code management

Action

Description:Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.
Version:0.0.2
Key:python-run-python-code

Python Overview

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

Action Code

import python from "../../python.app.mjs";

export default {
  name: "Run Python Code",
  version: "0.0.2",
  key: "python-run-python-code",
  description: "Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.",
  props: {
    python,
  },
  type: "action",
  methods: {},
  async run({
    steps, $,
  }) {
    // Placeholder action for Python code app
  },
};

Action Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

LabelPropTypeDescription
PythonpythonappThis component uses the Python app.

Action Authentication

The Python API does not require authentication.

About Python

Anything you can do in Python can be done in a Pipedream Workflow. This includes using any of the 350,000+ PyPi packages available in your Python powered workflows.

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