Process Batch of Images with Imagga API on Account Created from Zoom Admin API

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Account Created from the Zoom Admin API

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Process Batch of Images with the Imagga API

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Getting Started#

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

Select this integration
Configure the Account Created trigger
1. Connect your Zoom Admin account
2. Configure zoomApphook
Configure the Process Batch of Images action
1. Connect your Imagga account
2. Optional- Configure Image URLs
3. Optional- Configure Image File Paths
4. Optional- Configure Callback URL
5. Select a Image Process Type
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#

Account Created on Zoom Admin

Description:Emits an event each time a sub-account is created in your master account

Version:0.1.5

Key:zoom_admin-account-created

View on GitHub

Zoom Admin Overview#

The Zoom Admin API lets you harness the extensive capabilities of Zoom for automation and integration, right within Pipedream. Automate user management, track Zoom rooms, monitor webinars and meetings, and customize your workflow to respond dynamically to events like new participants or ended meetings. With these APIs and the power of Pipedream, you can streamline administrative tasks, extract valuable insights, and sync Zoom activities with other services.

Trigger Code#

import zoomAdmin from "../../zoom_admin.app.mjs";

export default {
  key: "zoom_admin-account-created",
  type: "source",
  name: "Account Created",
  description: "Emits an event each time a sub-account is created in your master account",
  version: "0.1.5",
  dedupe: "unique", // Dedupe based on account ID
  props: {
    zoomAdmin,
    zoomApphook: {
      type: "$.interface.apphook",
      appProp: "zoomAdmin",
      eventNames: [
        "account.created",
      ],
    },
  },
  async run(event) {
    console.log(event);
    const { id } = event.payload.object;
    this.$emit(event, {
      summary: `New sub-account ${id} created`,
      id,
    });
  },
};

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
Zoom Admin	`zoomAdmin`	`app`	This component uses the Zoom Admin app.
	`zoomApphook`	`$.interface.apphook`

Trigger Authentication#

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

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

About Zoom Admin#

Video conferencing (includes account-level scopes) for Zoom Admins.

Action#

Process Batch of Images on Imagga

Description:Analyzes a batch of images for categorization, tagging, or color extraction. [See the documentation](https://docs.imagga.com/)

Version:0.0.1

Key:imagga-process-batch

View on GitHub

Imagga Overview#

The Imagga API is a powerful image recognition tool that enables you to automate the process of analyzing and tagging images. With its AI-driven capabilities, you can extract a wealth of information from visual content. It offers features such as categorization, color extraction, and auto-tagging, making it incredibly useful for building workflows that require image analysis.

Action Code#

import { prepareAdditionalProps } from "../../common/constants.mjs";
import {
  delay,
  prepareBatchFile,
} from "../../common/utils.mjs";
import imagga from "../../imagga.app.mjs";

export default {
  key: "imagga-process-batch",
  name: "Process Batch of Images",
  description: "Analyzes a batch of images for categorization, tagging, or color extraction. [See the documentation](https://docs.imagga.com/)",
  version: "0.0.1",
  type: "action",
  props: {
    imagga,
    imageUrl: {
      label: "Image URLs",
      description: "The array of Image URLs to analyze.",
      type: "string[]",
      optional: true,
    },
    imageFile: {
      label: "Image File Paths",
      description:
        "The array of Image file path from [`/tmp` dir](https://pipedream.com/docs/code/nodejs/working-with-files/#the-tmp-directory) to analyze.",
      type: "string[]",
      optional: true,
    },
    callbackUrl: {
      propDefinition: [
        imagga,
        "callbackUrl",
      ],
      optional: true,
    },
    imageProcessType: {
      propDefinition: [
        imagga,
        "imageProcessType",
      ],
      reloadProps: true,
    },
  },
  async additionalProps() {
    return prepareAdditionalProps({
      props: imagga.propDefinitions,
      type: this.imageProcessType,
      batch: true,
    });
  },
  async run({ $ }) {
    const {
      imagga,
      imageUrl,
      imageFile,
      language = [],
      saveIndex,
      saveId,
      extractOverallColors,
      extractObjectColors,
      deterministic,
      verbose,
      threshold,
      decreaseParents,
      callbackUrl,
      categorizerId,
      overallCount,
      separatedCount,
      imageProcessType,
      ...params
    } = this;

    const file = await prepareBatchFile({
      imageUrl,
      imageFile,
      imagga,
    });

    await delay(2000);

    const response = await this.imagga.analyzeBatch({
      data: {
        callback_url: callbackUrl,
        [`/${imageProcessType}`]: file.map((item) => {
          if (typeof verbose === "boolean") item.params.verbose = +verbose;
          if (typeof decreaseParents === "boolean") item.params["decrease_parents"] = +decreaseParents;
          if (threshold) item.params.threshold = parseFloat(threshold);
          if (typeof extractOverallColors === "boolean") item.params.extract_overall_colors = +extractOverallColors;
          if (typeof extractObjectColors === "boolean") item.params.extract_object_colors = +extractObjectColors;
          if (typeof deterministic === "boolean") item.params.deterministic = +deterministic;

          item.params = {
            ...params,
            ...item.params,
            categorizer_id: categorizerId,
            language: language.toString(),
            overall_count: overallCount,
            separated_count: separatedCount,
            save_index: saveIndex,
            save_id: saveId,
          };
          return item;
        }),
      },
    });
    $.export("$summary", `Successfully submitted batch for ${imageProcessType} analysis`);
    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.

Label	Prop	Type	Description
Imagga	`imagga`	`app`	This component uses the Imagga app.
Image URLs	`imageUrl`	`string[]`	The array of Image URLs to analyze.
Image File Paths	`imageFile`	`string[]`	The array of Image file path from `/tmp` dir to analyze.
Callback URL	`callbackUrl`	`string`	The callback URL to be invoked after batch processing
Image Process Type	`imageProcessType`	`string`	Select a value from the drop down menu:`{ "label": "Tags", "value": "tags" }{ "label": "Categories", "value": "categories" }{ "label": "Colors", "value": "colors" }`

Process Batch of Images with Imagga API on Account Created from Zoom Admin API

Pipedream makes it easy to connect APIs for Imagga, Zoom Admin and 2,200+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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