← AWS + api4ai integrations

Alcohol Label Recognition with api4ai API on New DynamoDB Stream Event from AWS API

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New DynamoDB Stream Event from the AWS 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 AWS trigger and api4ai action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Select this integration
  2. Configure the New DynamoDB Stream Event trigger
    1. Connect your AWS account
    2. Configure timer
    3. Select a AWS Region
    4. Select a Stream
  3. Configure the Alcohol Label Recognition action
    1. Connect your api4ai account
    2. Configure alert
    3. Configure Image
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. 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

Description:Emit new event when a DynamoDB stream receives new events. [See the docs here](https://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_streams_GetRecords.html)
Version:0.0.2
Key:aws-new-dynamodb-stream-event

AWS Overview

The AWS API unlocks endless possibilities for automation with Pipedream. With this powerful combo, you can manage your AWS services and resources, automate deployment workflows, process data, and react to events across your AWS infrastructure. Pipedream offers a serverless platform for creating workflows triggered by various events that can execute AWS SDK functions, making it an efficient tool to integrate, automate, and orchestrate tasks across AWS services and other apps.

Trigger Code

import common from "../../common/common-dynamodb-streams.mjs";

export default {
  ...common,
  key: "aws-new-dynamodb-stream-event",
  name: "New DynamoDB Stream Event",
  description: "Emit new event when a DynamoDB stream receives new events. [See the docs here](https://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_streams_GetRecords.html)",
  type: "source",
  version: "0.0.2",
  dedupe: "unique",
  props: {
    ...common.props,
    stream: {
      type: "string",
      label: "Stream",
      description: "ARN of the Stream to watch for new events",
      async options({ prevContext }) {
        const {
          streams,
          lastEvaluatedStreamArn,
        } = await this.listEnabledStreams({
          ExclusiveStartStreamArn: prevContext.lastEvaluatedStreamArn,
        });
        const options = streams.map((stream) => ({
          label: `${stream.TableName} - Created ${stream.StreamLabel}`,
          value: stream.StreamArn,
        }));
        return {
          options,
          context: {
            lastEvaluatedStreamArn,
          },
        };
      },
    },
  },
  hooks: {
    async deploy() {
      const { StreamDescription: streamDescription } = await this.listShards({
        StreamArn: this.stream,
      });
      const shardId = streamDescription.Shards[streamDescription.Shards.length - 1].ShardId;
      const { ShardIterator: shardIterator } = await this.getShardIterator({
        ShardId: shardId,
        StreamArn: this.stream,
        ShardIteratorType: "LATEST",
      });
      this._setShardIterator(shardIterator);
    },
  },
  methods: {
    ...common.methods,
    _getShardIterator() {
      return this.db.get("shardIterator");
    },
    _setShardIterator(shardIterator) {
      this.db.set("shardIterator", shardIterator);
    },
    generateMeta({
      eventID, eventName, dynamodb,
    }) {
      return {
        id: eventID,
        summary: `New ${eventName} event`,
        ts: Date.parse(dynamodb.ApproximateCreationDateTime),
      };
    },
  },
  async run() {
    if (!(await this.isStreamEnabled(this.stream))) {
      throw new Error("Stream is no longer enabled.");
    }

    const shardIterator = this._getShardIterator();

    const {
      Records: records, NextShardIterator: nextShardIterator,
    } = await this.getRecords({
      ShardIterator: shardIterator,
    });

    for (const record of records) {
      const meta = this.generateMeta(record);
      this.$emit(record, meta);
    }

    this._setShardIterator(nextShardIterator);
  },
};

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.
LabelPropTypeDescription
AWSawsappThis component uses the AWS app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
timer$.interface.timer
AWS RegionregionstringSelect a value from the drop down menu.
StreamstreamstringSelect a value from the drop down menu.

Trigger Authentication

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

Follow the AWS Instructions for creating an IAM user with an associated access and secret key.

As a best practice, attach the minimum set of IAM permissions necessary to perform the specific task in Pipedream. If your workflow only needs to perform a single API call, you should create a user and associate an IAM group / policy with permission to do only that task. You can create as many linked AWS accounts in Pipedream as you'd like.

Enter your access and secret key below.

About AWS

Amazon Web Services (AWS) offers reliable, scalable, and inexpensive cloud computing services.

Action

Description:Accurately identifies alcohol labels using advanced intelligent technologies. Powered by API4AI.
Version:0.0.1
Key:api4ai-alcohol-label-recognition

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.

LabelPropTypeDescription
api4aiappappThis component uses the api4ai app.
Imageimagestring

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

Action Authentication

api4ai uses API keys for authentication. When you connect your api4ai account, Pipedream securely stores the keys so you can easily authenticate to api4ai APIs in both code and no-code steps.

About api4ai

api4ai offers a multitude of ready-to-use AI APIs to extract information from your images.

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