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← GitLab + MongoDB integrations

Find Document with MongoDB API on New Commit (Instant) from GitLab API

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New Commit (Instant) from the GitLab API
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Find Document with the MongoDB API
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Getting Started

This integration creates a workflow with a GitLab trigger and MongoDB 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 (Instant) trigger
    1. Connect your GitLab account
    2. Select a Project ID
    3. Optional- Select a Branch Name
  3. Configure the Find Document action
    1. Connect your MongoDB account
    2. Select a Database
    3. Select a Collection
    4. Configure Filter
    5. Optional- Configure Options
  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

New Commit (Instant) on GitLab
Description:Emit new event when a new commit is pushed to a branch
Version:0.1.3
Key:gitlab-new-commit

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

export default {
  ...base,
  key: "gitlab-new-commit",
  name: "New Commit (Instant)",
  description: "Emit new event when a new commit is pushed to a branch",
  version: "0.1.3",
  dedupe: "unique",
  type: "source",
  props: {
    ...base.props,
    refName: {
      propDefinition: [
        gitlab,
        "branch",
        (c) => ({
          projectId: c.projectId,
        }),
      ],
      optional: true,
    },
  },
  hooks: {
    ...base.hooks,
    async activate() {
      await this.activateHook(eventTypes.PUSH_EVENT);
    },
  },
  methods: {
    ...base.methods,
    isEventForThisBranch(branch) {
      return !this.refName || branch === this.refName;
    },
    generateMeta(commit) {
      const {
        id,
        message,
        shortId,
        committedDate,
      } = commit;
      return {
        id,
        summary: `New commit: ${message} (${shortId})`,
        ts: +new Date(committedDate),
      };
    },
    async emitEvent(event) {
      const refName = event.ref.split("refs/heads/").pop();
      if (!this.isEventForThisBranch(refName)) {
        return;
      }

      // Gitlab "push events" are only provisioned with at most
      // 20 commit objects (which also lack information when compared
      // to the Commits API). The amount of new commits is specified
      // in a separate variable called `total_commits_count`, which
      // we'll use to keep track of the commits that we need to emit
      // downstream.
      // See https://gitlab.com/help/user/project/integrations/webhooks#push-events
      const { total_commits_count: totalCommitsCount } = event;
      if (totalCommitsCount <= 0) return;

      const commits = await this.gitlab.listCommits(this.projectId, {
        params: {
          ref_name: refName,
          per_page: Math.min(50, totalCommitsCount),
        },
      });

      // We need to collect all the relevant commits, sort
      // them in reverse order (since the Gitlab API sorts them
      // from most to least recent) and emit an event for each
      // one of them.
      commits.reverse().forEach((commit) => {
        const meta = this.generateMeta(commit);
        this.$emit(commit, 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.
Branch NamerefNamestringSelect 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

Find Document on MongoDB
Description:Finds a document by a query filter. [See the documentation](https://docs.mongodb.com/manual/reference/method/db.collection.find/)
Version:0.0.1
Key:mongodb-find-document

MongoDB Overview

The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.

Action Code

import app from "../../mongodb.app.mjs";
import utils from "../../common/utils.mjs";

export default {
  key: "mongodb-find-document",
  name: "Find Document",
  description: "Finds a document by a query filter. [See the documentation](https://docs.mongodb.com/manual/reference/method/db.collection.find/)",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    database: {
      propDefinition: [
        app,
        "database",
      ],
    },
    collectionName: {
      propDefinition: [
        app,
        "collection",
        ({ database }) => ({
          database,
        }),
      ],
    },
    filter: {
      type: "string",
      label: "Filter",
      description: "JSON string to use as a filter. Eg. `{ \"name\": \"Twitter\" }`",
    },
    options: {
      type: "string",
      label: "Options",
      description: "JSON string to use as options. Eg. `{ \"projection\": { \"_id\": 0, \"title\": 1 } }`",
      optional: true,
    },
  },
  methods: {
    async findDocument({
      database, collectionName, filter, options,
    } = {}) {
      const { app } = this;
      const client = await app.getClient();
      const collection = app.getCollection(client, database, collectionName);
      const result = await collection.findOne(filter, options);
      await client.close();
      return result;
    },
  },
  async run({ $ }) {
    const {
      findDocument,
      database,
      collectionName,
      filter,
      options,
    } = this;

    const response = await findDocument({
      database,
      collectionName,
      filter: utils.valueToObject(filter),
      options: utils.valueToObject(options),
    });

    if (!response) {
      $.export("$summary", "Document not found in the collection.");
      return;
    }

    $.export("$summary", "Successfully found a document in the collection.");
    return response;
  },
};

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
MongoDBappappThis component uses the MongoDB app.
DatabasedatabasestringSelect a value from the drop down menu.
CollectioncollectionNamestringSelect a value from the drop down menu.
Filterfilterstring

JSON string to use as a filter. Eg. { "name": "Twitter" }

Optionsoptionsstring

JSON string to use as options. Eg. { "projection": { "_id": 0, "title": 1 } }

Action Authentication

MongoDB uses API keys for authentication. When you connect your MongoDB account, Pipedream securely stores the keys so you can easily authenticate to MongoDB APIs in both code and no-code steps.

Before you connect to your Mongo database from Pipedream, please make sure your database is accessible from the public internet. You may need to add a firewall rule allowing connections from 0.0.0.0/0.

Then, enter the details of your Mongo host / database below.

About MongoDB

MongoDB is an open source NoSQL database management program.

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