Perform Face Detection and Analysis with Zoho Catalyst API on New Abandoned Cart from Shopify API

Pipedream makes it easy to connect APIs for Zoho Catalyst, Shopify and 2,800+ other apps remarkably fast.

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New Abandoned Cart from the Shopify API

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Perform Face Detection and Analysis with the Zoho Catalyst API

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Getting Started#

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

Select this integration
Configure the New Abandoned Cart trigger
1. Connect your Shopify account
2. Configure timer
Configure the Perform Face Detection and Analysis action
1. Connect your Zoho Catalyst account
2. Select a Project ID
3. Configure Image Path or URL
4. Optional- Select a Mode
5. Optional- Configure Emotion
6. Optional- Configure Age
7. Optional- Configure Gender
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 Abandoned Cart on Shopify

Description:Emit new event each time a user abandons their cart.

Version:0.0.11

Key:shopify_developer_app-new-abandoned-cart

View on GitHub

Shopify Overview#

The Shopify Admin REST & GraphQL API unleashes a myriad of possibilities to automate and enhance online store operations. It provides programmatic access to Shopify functionalities, allowing users to manage products, customers, orders, and more. Leveraging the Shopify Admin API within Pipedream, developers can create custom workflows that automate repetitive tasks, sync data across platforms, and respond dynamically to events in Shopify.

This integration can be used as a custom app on your store, or for automating actions on behalf of merchants through your Shopify app.

Looking for integrating into the Shopify Partner API for your apps, themes or referrals? Check out our Shopify Partner API integration

Trigger Code#

import shopify from "../../shopify_developer_app.app.mjs";
import common from "@pipedream/shopify/sources/new-abandoned-cart/new-abandoned-cart.mjs";

import { adjustPropDefinitions } from "../../common/utils.mjs";

const {
  name, description, type, ...others
} = common;
const props = adjustPropDefinitions(others.props, shopify);

export default {
  ...others,
  key: "shopify_developer_app-new-abandoned-cart",
  version: "0.0.11",
  name,
  description,
  type,
  props: {
    shopify,
    ...props,
  },
};

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
Shopify	`shopify`	`app`	This component uses the Shopify app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`

Trigger Authentication#

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

About Shopify#

Shopify is a complete commerce platform that lets anyone start, manage, and grow a business. You can use Shopify to build an online store, manage sales, market to customers, and accept payments in digital and physical locations.

Action#

Perform Face Detection and Analysis on Zoho Catalyst

Description:Perform face detection and analysis on an image. [See the documentation](https://catalyst.zoho.com/help/api/zia/face-analytics.html)

Version:0.1.1

Key:zoho_catalyst-perform-face-detection-and-analysis

View on GitHub

Zoho Catalyst Overview#

Zoho Catalyst is a cloud-based backend for building and hosting serverless applications. With its API, you can create, read, update, and delete records in Catalyst Data Store, run Catalyst Functions, manage files in Catalyst File Store, and orchestrate various backend processes. Integrating Zoho Catalyst with Pipedream allows you to seamlessly connect these backend operations with other services and automate workflows. For example, you can trigger a function when you receive an email, process data from webhooks, or sync information between Zoho Catalyst and other platforms.

Action Code#

import { defineAction } from "@pipedream/types";
import app from "../../app/zoho_catalyst.app.mjs";
import { getImageFormData } from "../../common/methods.mjs";
import { FACE_ANALYTICS_MODE_OPTIONS } from "../../common/constants.mjs";
export default defineAction({
    key: "zoho_catalyst-perform-face-detection-and-analysis",
    name: "Perform Face Detection and Analysis",
    description: "Perform face detection and analysis on an image. [See the documentation](https://catalyst.zoho.com/help/api/zia/face-analytics.html)",
    version: "0.1.1",
    annotations: {
        destructiveHint: false,
        openWorldHint: true,
        readOnlyHint: true,
    },
    type: "action",
    props: {
        app,
        projectId: {
            propDefinition: [
                app,
                "projectId",
            ],
        },
        imagePath: {
            propDefinition: [
                app,
                "imagePath",
            ],
        },
        mode: {
            propDefinition: [
                app,
                "mode",
            ],
            description: "Denotes the number of facial landmarks to be detected in a face.",
            options: FACE_ANALYTICS_MODE_OPTIONS,
        },
        emotion: {
            type: "boolean",
            label: "Emotion",
            description: "Whether to detect emotion.",
            optional: true,
            default: true,
        },
        age: {
            type: "boolean",
            label: "Age",
            description: "Whether to detect age.",
            optional: true,
            default: true,
        },
        gender: {
            type: "boolean",
            label: "Gender",
            description: "Whether to detect gender.",
            optional: true,
            default: true,
        },
    },
    async run({ $ }) {
        const { imagePath, projectId, } = this;
        const data = await getImageFormData(imagePath);
        for (const prop of [
            "mode",
            "emotion",
            "age",
            "gender",
        ]) {
            if (this[prop]) {
                data.append(prop, this[prop].toString());
            }
        }
        const response = await this.app.performImageFaceDetection({
            $,
            projectId,
            headers: data.getHeaders(),
            data,
        });
        $.export("$summary", "Successfully performed image face detection");
        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
Zoho Catalyst	`app`	`app`	This component uses the Zoho Catalyst app.
Project ID	`projectId`	`integer`	Select a value from the drop down menu.
Image Path or URL	`imagePath`	`string`	The image to upload. Provide either a file URL or a path to a file in the `/tmp` directory (for example, `/tmp/myFile.png`)
Mode	`mode`	`string`	Select a value from the drop down menu:`{ "label": "0-point landmark detector that detects the boundary of the face alone", "value": "basic" }{ "label": "5-point landmark detector that detects- Eyes: The center of both eyes, Nose: Nose tip, Lips: The center of both lips", "value": "moderate" }{ "label": "68-point landmark detector that detects- Jawline: Face boundary, Eyebrows: Left and right eyebrow, Eyes: Left and right eye, Nose bridge, Nostril line, Upper lips: Upper and lower edge, Lower lips: Upper and lower edge", "value": "advanced" }`
Emotion	`emotion`	`boolean`	Whether to detect emotion.
Age	`age`	`boolean`	Whether to detect age.
Gender	`gender`	`boolean`	Whether to detect gender.

Action Authentication#

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

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

ZohoCatalyst.projects.READZohoCatalyst.projects.CREATEZohoCatalyst.projects.UPDATEZohoCatalyst.projects.users.READZohoCatalyst.projects.users.CREATEZohoCatalyst.tables.READZohoCatalyst.tables.rows.READZohoCatalyst.tables.rows.CREATEZohoCatalyst.tables.rows.UPDATEZohoCatalyst.tables.columns.READZohoCatalyst.folders.READZohoCatalyst.folders.CREATEZohoCatalyst.folders.UPDATEZohoCatalyst.files.READZohoCatalyst.files.CREATEZohoCatalyst.mlkit.READ

About Zoho Catalyst#

Catalyst by Zoho is a highly scalable serverless platform that lets developers build and deploy world-class solutions without managing servers. Even better, you pay nothing till you deploy the project to production. Get a free, full-featured sandbox and up to 125 million free invocations

More Ways to Connect Zoho Catalyst + Shopify#

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Perform Face Detection and Analysis with Zoho Catalyst API on New Abandoned Cart from Shopify API

Pipedream makes it easy to connect APIs for Zoho Catalyst, Shopify and 2,800+ other apps remarkably fast.

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

Developers ♥ Pipedream

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