Alcohol Label Recognition with api4ai API on New Submission (Instant) from Jotform API

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New Submission (Instant) from the Jotform API

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Alcohol Label Recognition with the api4ai API

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Getting Started#

This integration creates a workflow with a Jotform trigger and api4ai 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 Alcohol Label Recognition action
1. Connect your api4ai account
2. Configure alert
3. Configure Image
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#

Alcohol Label Recognition on api4ai

Description:Accurately identifies alcohol labels using advanced intelligent technologies. Powered by API4AI.

Version:0.0.1

Key:api4ai-alcohol-label-recognition

View on GitHub

Alcohol Label Recognition Overview#

⭐️ Alcohol Label Recognition – is a advanced label scanning API, powered by cutting-edge computer vision and neural network technology, designed to accurately identify various alcoholic beverages from their labels.

This solution analyzes an image containing one or several alcohol labels and provides detailed information about the type of each beverage, along with its unique properties.

alco-rec

✅ All-in-One. This API is more than just a wine recognition tool! It supports a diverse range of beverages, including beer, wine, vodka, whiskey, bourbon, brandy, cognac, rum, tequila, and liqueur.
✅ Multiple labels. The advanced alcohol label recognition algorithm can accurately analyze multiple labels, individually corresponding to different drinks, within a single image.
✅ Characteristics. The algorithm provides unique attributes for each drink type, such as winery, country, variety, vintage, and region for wines, and brand, country, and malt for whiskey, improving searchability.
✅ Databaseless. The solution operates efficiently without the need for pre-populating a label database, offering an immediate, out-of-the-box solution that works seamlessly for users.

Vodka	Brandy	Beer	Tekila
Bourbon	10 drinks		Rum
Wine	Liqueur	Whiskey	Cognac

🤖 Demo

Explore the Alcohol Label Recognition Web demo for free before delving into the details (no registration is required): https://api4.ai/apis/household-stuff#demo-wrapper

Action Code#

import app from "../../api4ai.app.mjs";
import { retryWithExponentialBackoff } from "../../common/utils.mjs";

export default {
  name: "Alcohol Label Recognition",
  description: "Accurately identifies alcohol labels using advanced intelligent technologies. Powered by API4AI.",
  key: "api4ai-alcohol-label-recognition",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    alert: {
      type: "alert",
      alertType: "info",
      content: "Subscribe to [API4AI Alcohol Label Recognition](https://rapidapi.com/api4ai-api4ai-default/api/alcohol-label-recognition/pricing) on the RapidAPI hub before you start using it.",
    },
    image: {
      propDefinition: [
        app,
        "image",
      ],
    },
  },
  async run({ $ }) {
    // Initialize output.
    let summary = "";
    let labels = "";

    // Perform request and parse results.
    const cb = () =>
      this.app.makeRequest(
        $,
        "https://alcohol-label-recognition.p.rapidapi.com/v1/results",
        this.image,
      );
    const response = await retryWithExponentialBackoff(cb);
    const isOk = response?.results?.[0]?.status?.code === "ok";
    summary = response?.results?.[0]?.status?.message || JSON.stringify(response);
    if (isOk) {
      labels = response.results[0].entities[0].array;
    }
    else {
      throw new Error(summary);
    }

    $.export("$summary", summary);
    $.export("labels", labels);
  },
};

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
api4ai	`app`	`app`	This component uses the api4ai app.
Image	`image`	`string`	Input image. Various types are accepted: a path to a file a URL to a file a file's content encoded as a base64 string a file's content as a Buffer encoded in JSON a file's content as an Array of bytes

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Popular Triggers#

New Submission (Instant) from the Jotform API

Emit new event when a form is submitted

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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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Alcohol Label Recognition with the api4ai API

Accurately identifies alcohol labels using advanced intelligent technologies. Powered by API4AI.

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Background Removal with the api4ai API

Automatically and quickly remove image background with high accuracy. Powered by API4AI.

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