Search Documents with MongoDB API on New Comment (Instant) from Figma API

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Trigger workflow on

New Comment (Instant) from the Figma API

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Search Documents with the MongoDB API

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Getting Started#

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

Select this integration
Configure the New Comment (Instant) trigger
1. Configure alert
2. Connect your Figma account
Configure the Search Documents action
1. Connect your MongoDB account
2. Select a Database
3. Select a Collection
4. Optional- Configure Filter
5. Optional- Configure Options
Deploy the workflow
Send a test event to validate your setup
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 Comment (Instant) on Figma

Description:Emit new event when someone comments on a file

Version:0.0.3

Key:figma-new-comment

View on GitHub

Figma Overview#

The Figma API unlocks the power to automate and integrate design workflows, enabling both designers and developers to extract assets, update designs, and manage files programmatically. By leveraging the Figma API on Pipedream, you can create automated processes that sync design updates with other tools, notify team members of changes, or feed design information into other parts of your digital ecosystem.

Trigger Code#

import { ConfigurationError } from "@pipedream/platform";
import { v4 as uuid } from "uuid";
import common from "../../common/common.mjs";

export default {
  ...common,
  key: "figma-new-comment",
  name: "New Comment (Instant)",
  description: "Emit new event when someone comments on a file",
  version: "0.0.3",
  type: "source",
  dedupe: "unique",
  props: {
    alert: {
      type: "alert",
      alertType: "info",
      content: "A Figma Organization Plan or higher is required to use webhooks. See Figma's [pricing page](https://www.figma.com/pricing) for more details.",
    },
    ...common.props,
    http: "$.interface.http",
    db: "$.service.db",
  },
  hooks: {
    async activate() {
      try {
        const passcode = uuid();
        this.setPasscode(passcode);

        const hookId = await this.figmaApp.createHook(
          "FILE_COMMENT",
          this.getTeamId(),
          this.http.endpoint,
          passcode,
        );

        this.setHookId(hookId);
      } catch (error) {
        if (error.response.status === 400) {
          throw new ConfigurationError("A Figma Organization Plan or higher is required to use webhooks. See Figma's [pricing page](https://www.figma.com/pricing) for more details.");
        }
        throw error;
      }
    },
    async deactivate() {
      await this.figmaApp.deleteHook(this.getHookId());
    },
  },
  methods: {
    ...common.methods,
    getHookId() {
      return this.db.get("hookId");
    },
    setHookId(hookId) {
      this.db.set("hookId", hookId);
    },
    getPasscode() {
      return this.db.get("passcode");
    },
    setPasscode(passcode) {
      this.db.set("passcode", passcode);
    },
  },
  async run(event) {
    this.http.respond({
      status: 200,
    });

    if (event.body.passcode === this.getPasscode()) {
      this.$emit(event.body, {
        summary: `New comment on a file (${event.body.comment_id})`,
        id: event.body.comment_id,
        ts: event.body.timestamp,
      });
    }
  },
};

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.

Label	Prop	Type	Description
Figma	`figmaApp`	`app`	This component uses the Figma app.
N/A	`http`	`$.interface.http`	This component uses `$.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.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.

Trigger Authentication#

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

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

file_read

About Figma#

Figma is the leading collaborative design tool for building meaningful products.

Action#

Search Documents on MongoDB

Description:Search for specific documents or return all documents. [See the docs here](https://docs.mongodb.com/manual/reference/method/db.collection.find/)

Version:0.0.8

Key:mongodb-search-documents

View on GitHub

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 mongodbApp from "../../mongodb.app.mjs";

export default {
  key: "mongodb-search-documents",
  name: "Search Documents",
  description: "Search for specific documents or return all documents. [See the docs here](https://docs.mongodb.com/manual/reference/method/db.collection.find/)",
  version: "0.0.8",
  type: "action",
  props: {
    mongodbApp,
    database: {
      propDefinition: [
        mongodbApp,
        "database",
      ],
    },
    collection: {
      propDefinition: [
        mongodbApp,
        "collection",
        (c) => ({
          database: c.database,
        }),
      ],
    },
    filter: {
      label: "Filter",
      description: "Object to use as a filter. Values will be interpreted as strings. To pass a number, boolean, array, or object, wrap the value in an expression. eg. `{{1}}`",
      type: "object",
      optional: true,
    },
    options: {
      label: "Options",
      description: "Additional props for sorting and ordering. [See docs](https://www.mongodb.com/docs/drivers/node/current/usage-examples/find/)",
      type: "object",
      optional: true,
    },
  },
  async run({ $ }) {
    const documents = await this.mongodbApp.searchDocuments(
      this.database,
      this.collection,
      this.filter,
      this.options,
    );

    $.export("$summary", `Successfully retrieved ${documents.length} document(s)`);
    return documents;
  },
};

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.

Label	Prop	Type	Description
MongoDB	`mongodbApp`	`app`	This component uses the MongoDB app.
Database	`database`	`string`	Select a value from the drop down menu.
Collection	`collection`	`string`	Select a value from the drop down menu.
Filter	`filter`	`object`	Object to use as a filter. Values will be interpreted as strings. To pass a number, boolean, array, or object, wrap the value in an expression. eg. `{{1}}`
Options	`options`	`object`	Additional props for sorting and ordering. See docs

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.