Process Batch of Images with Imagga API on New Submission (Instant) from Jotform API

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New Submission (Instant) from the Jotform 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 Jotform 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 New Submission (Instant) trigger
1. Connect your Jotform account
2. Optional- Select a Team
3. Select a Form
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#

New Submission (Instant) on Jotform

Description:Emit new event when a form is submitted

Version:0.1.5

Key:jotform-new-submission

View on GitHub

Jotform Overview#

Jotform’s API is a powerhouse for automating form and survey data management. With Pipedream, harness this API to trigger workflows from new form submissions, manipulate and analyze your form data, and sync it across various platforms. Think streamlined data entry to CRMs, instant notifications for new leads or feedback, and timely data backups to cloud storage.

Trigger Code#

import jotform from "../../jotform.app.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  key: "jotform-new-submission",
  name: "New Submission (Instant)",
  description: "Emit new event when a form is submitted",
  version: "0.1.5",
  type: "source",
  dedupe: "unique",
  props: {
    jotform,
    http: "$.interface.http",
    teamId: {
      propDefinition: [
        jotform,
        "teamId",
      ],
    },
    formId: {
      propDefinition: [
        jotform,
        "formId",
        (c) => ({
          teamId: c.teamId,
          excludeDeleted: true,
        }),
      ],
    },
  },
  hooks: {
    async deploy() {
      const { content: form } = await this.jotform.getForm(this.formId, this.teamId);
      const { content: submissions } = await this.jotform.getFormSubmissions({
        formId: this.formId,
        teamId: this.teamId,
        params: {
          limit: 25,
          orderby: "created_at",
        },
      });
      for (let submission of submissions.reverse()) {
        const meta = {
          id: submission.id,
          summary: form.title,
          ts: Date.now(),
        };
        this.$emit(submission, meta);
      }
    },
    async activate() {
      return (await this.jotform.createHook({
        endpoint: this.http.endpoint,
        formId: this.formId,
        teamId: this.teamId,
      }));
    },
    async deactivate() {
      return (await this.jotform.deleteHook({
        endpoint: this.http.endpoint,
        formId: this.formId,
        teamId: this.teamId,
      }));
    },
  },
  async run(event) {
    const { body } = event;
    let { content: submission } = await this.jotform.getFormSubmission({
      submissionId: body.submissionID,
      teamId: this.teamId,
    });

    // insert answers from the webhook event
    const rawRequest = JSON.parse(body.rawRequest);
    for (const key of Object.keys(rawRequest)) {
      const regex = /^q(\d+)_/;
      const match = key.match(regex);
      if (match && match[1]) {
        submission.answers[match[1]].answer = rawRequest[key];
      }
    }

    this.$emit(submission, {
      summary: body.formTitle || JSON.stringify(body),
      id: body.submissionID,
      ts: Date.now(),
    });
  },
  sampleEmit,
};

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
Jotform	`jotform`	`app`	This component uses the Jotform 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.
Team	`teamId`	`string`	Select a value from the drop down menu.
Form	`formId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

About Jotform#

Jotform enables you to create online forms, collect responses directly in your email, and create fillable PDF forms.

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" }`

Action Authentication#

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

Navigate to your dashboard, and copy your API Key and API Secret below.

About Imagga#

Imagga Image Recognition API provides solutions for image tagging & categorization, visual search, content moderation.

More Ways to Connect Imagga + Jotform#

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Popular Triggers#

New Submission (Instant) from the Jotform API

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New Batch Processed from the Imagga API

Emit new event when a batch of images has been processed for categorization, tagging, or color extraction.

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Popular Actions#

Get Form Submissions with the Jotform API

Gets a list of form responses See the docs here

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Get Monthly User Usage with the Jotform API

Gets number of form submissions received this month. Also, get number of SSL form submissions, payment form submissions and upload space used by user See the docs here

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Get User Submissions with the Jotform API

Gets a list of all submissions for all forms on the account See the docs here

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Analyze Image with the Imagga API

Assign a category to a single image based on its visual content. See the documentation

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Process Batch of Images with the Imagga API

Analyzes a batch of images for categorization, tagging, or color extraction. See the documentation

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