← GitLab + Python integrations

Run Python Code with Python API on New Commit Comment (Instant) from GitLab API

Pipedream makes it easy to connect APIs for Python, GitLab and 2,400+ other apps remarkably fast.

Trigger workflow on
New Commit Comment (Instant) 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 Commit Comment (Instant) trigger
    1. Connect your GitLab account
    2. 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 commit receives a comment
Version:0.1.2
Key:gitlab-new-commit-comment

GitLab Overview

The GitLab API provides programmatic access to your GitLab projects, allowing you to automate common tasks, manage issues, merge requests, and more. With the GitLab API on Pipedream, you can create customized workflows that integrate with other services, streamline your development process, and enhance project management. By leveraging the power of serverless, you can set up triggers for GitLab events and perform actions across a variety of apps without managing infrastructure.

Trigger Code

import base from "../common/base.mjs";
import { eventTypes } from "../common/hook-events.mjs";

export default {
  ...base,
  key: "gitlab-new-commit-comment",
  name: "New Commit Comment (Instant)",
  description: "Emit new event when a commit receives a comment",
  version: "0.1.2",
  dedupe: "unique",
  type: "source",
  hooks: {
    ...base.hooks,
    async activate() {
      await this.activateHook(eventTypes.NOTE_EVENTS);
    },
  },
  methods: {
    ...base.methods,
    isCommentOnCommit(commit) {
      const noteableType = commit.object_attributes?.noteable_type;
      const expectedNoteableType = "Commit";
      return noteableType === expectedNoteableType;
    },
    generateMeta({
      user, comment,
    }) {
      const {
        name,
        username,
      } = user;
      const {
        id,
        created_at: createdAt,
        commit_id: commitId,
      } = comment;
      return {
        id,
        summary: `New comment by ${name} (${username}) on commit ${commitId}`,
        ts: +new Date(createdAt),
      };
    },
    async emitEvent(event) {
      // Gitlab doesn't offer a specific hook for "commit comments" events,
      // but such event can be deduced from the payload of "note" events.
      if (this.isCommentOnCommit(event)) {
        const meta = this.generateMeta({
          user: event.user,
          comment: event.object_attributes,
        });
        this.$emit(event, 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 $.service.db to maintain state between executions.
N/Ahttp$.interface.httpThis component uses $.interface.http to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the run() method of the component.
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

GitLab is the most comprehensive AI-powered DevSecOps Platform.

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

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:

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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