Alcohol Label 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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Alcohol Label 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 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 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#

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 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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