Furniture & Household Item Recognition with api4ai API on New Download Counts from npm API

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New Download Counts from the npm API

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Furniture & Household Item Recognition with the api4ai API

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Getting Started#

This integration creates a workflow with a npm 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 Download Counts trigger
1. Connect your npm account
2. Configure timer
3. Select a Period
4. Optional- Configure Package
Configure the Furniture & Household Item 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 Download Counts on npm

Description:Emit new event with the latest count of downloads for an npm package. [See the documentation](https://github.com/npm/registry/blob/main/docs/download-counts.md).

Version:0.1.0

Key:npm-download-counts

View on GitHub

Trigger Code#

import app from "../../npm.app.mjs";

export default {
  key: "npm-download-counts",
  name: "New Download Counts",
  description: "Emit new event with the latest count of downloads for an npm package. [See the documentation](https://github.com/npm/registry/blob/main/docs/download-counts.md).",
  version: "0.1.0",
  type: "source",
  props: {
    app,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      description: "One day interval time is recommended because NPM only update metrics once a day. [See the documentation](https://github.com/npm/registry/blob/main/docs/download-counts.md#data-source).",
      default: {
        intervalSeconds: 60 * 60 * 24,
      },
    },
    period: {
      type: "string",
      label: "Period",
      description: "Select last-day, last-week or last-month.",
      optional: false,
      default: "last-day",
      options: [
        "last-day",
        "last-week",
        "last-month",
      ],
    },
    packageName: {
      type: "string",
      label: "Package",
      description: "Enter an npm package name. Leave blank for all",
      optional: true,
    },
  },
  methods: {
    getDownloadCounts({
      period, packageName, ...args
    } = {}) {
      const basePath = `/downloads/point/${encodeURIComponent(period)}`;
      return this.app.makeRequest({
        path: packageName
          ? `${basePath}/${encodeURIComponent(packageName)}`
          : basePath,
        ...args,
      });
    },
  },
  async run({ timestamp: ts }) {
    const {
      getDownloadCounts,
      period,
      packageName,
    } = this;

    const response = await getDownloadCounts({
      period,
      packageName,
    });

    this.$emit(response, {
      id: ts,
      summary: `New Download Count ${response.downloads}`,
      ts,
    });
  },
};

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
npm	`app`	`app`	This component uses the npm app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`	One day interval time is recommended because NPM only update metrics once a day. See the documentation.
Period	`period`	`string`	Select a value from the drop down menu:`last-daylast-weeklast-month`
Package	`packageName`	`string`	Enter an npm package name. Leave blank for all

Trigger Authentication#

The npm API does not require authentication.

About npm#

Node package manager

Action#

Furniture & Household Item Recognition on api4ai

Description:This API provides identification of furniture & household items with advanced intelligent detection, categorization, and counting technologies. Powered by API4AI.

Version:0.0.1

Key:api4ai-furniture-and-household-item-recognition

View on GitHub

Furniture & Household Item Recognition Overview#

⭐️ Furniture & Household Items Recognition – is an accurate identification of furniture and household items with advanced intelligent detection, categorization, and counting technologies.

The Furniture & Household Items Recognition offers AI-driven image analysis, ideal for identifying household items in photos. It streamlines inventory management for interior design, real estate, retail, and enhances service efficiency for moving companies.

household-stuff

✅ Our solution provides immediate, out-of-the-box support for a wide array of furniture and household items, encompassing more than 200 distinct categories. Designed to meet diverse needs, it simplifies inventory management and enhances cataloging processes for businesses and developers.
✅ The algorithm employs advanced logic to automatically count items, seamlessly integrating this capability. Consequently, our API meticulously generates a comprehensive JSON output, detailing each identified item along with its precise corresponding quantities.

🤖 Demo

Explore the Furniture & Household Items 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: "Furniture & Household Item Recognition",
  description: "This API provides identification of furniture & household items with advanced intelligent detection, categorization, and counting technologies. Powered by API4AI.",
  key: "api4ai-furniture-and-household-item-recognition",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    alert: {
      type: "alert",
      alertType: "info",
      content: "Subscribe to [API4AI Furniture and Household Items Recognition](https://rapidapi.com/api4ai-api4ai-default/api/furniture-and-household-items/pricing) on the RapidAPI hub before you start using it.",
    },
    image: {
      propDefinition: [
        app,
        "image",
      ],
    },
  },
  async run({ $ }) {
    // Initialize output.
    let summary = "";
    let items = "";

    // Perform request and parse results.
    const cb = () =>
      this.app.makeRequest(
        $,
        "https://furniture-and-household-items.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) {
      items = response.results[0].entities[0].mapping;
    }
    else {
      throw new Error(summary);
    }

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

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 Download Counts from the npm API

Emit new event with the latest count of downloads for an npm package. See the documentation.

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New Package Version from the npm API

Emit new event when a new version of an npm package is published. See the documentation

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Furniture & Household Item Recognition with the api4ai API

This API provides identification of furniture & household items with advanced intelligent detection, categorization, and counting technologies. Powered by API4AI.

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