Alcohol Label Recognition with api4ai API on New Records Returned by CloudWatch Logs Insights Query from AWS API

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New Records Returned by CloudWatch Logs Insights Query 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.

Select this integration
Configure the New Records Returned by CloudWatch Logs Insights Query trigger
1. Connect your AWS account
2. Select a AWS Region
3. Select one or more CloudWatch Log Groups
4. Configure Logs Insights Query
5. Optional- Configure Emit query results as a single event
6. Configure Polling schedule
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 Records Returned by CloudWatch Logs Insights Query on AWS

Description:Executes a CloudWatch Logs Insights query on a schedule, and emits the records as invidual events (default) or in batch

Version:0.2.2

Key:aws-new-records-returned-by-cloudwatch-logs-insights-query

View on GitHub

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-cloudwatch-logs.mjs";
import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";

export default {
  ...common,
  key: "aws-new-records-returned-by-cloudwatch-logs-insights-query",
  name: "New Records Returned by CloudWatch Logs Insights Query",
  // eslint-disable-next-line pipedream/source-description
  description: "Executes a CloudWatch Logs Insights query on a schedule, and emits the records as invidual events (default) or in batch",
  version: "0.2.2",
  type: "source",
  props: {
    aws: common.props.aws,
    region: common.props.region,
    db: "$.service.db",
    // eslint-disable-next-line pipedream/props-label
    logGroupNames: {
      ...common.props.logGroupName,
      type: "string[]",
      description: "The log groups you'd like to query",
    },
    queryString: {
      label: "Logs Insights Query",
      description: "The query you'd like to run. See [this AWS doc](https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/CWL_QuerySyntax.html) for help with query syntax",
      type: "string",
    },
    emitResultsInBatch: {
      type: "boolean",
      label: "Emit query results as a single event",
      description: "If `true`, all events are emitted as an array, within a single Pipedream event. If `false`, each row of results is emitted as its own event. Defaults to `true`",
      optional: true,
      default: true,
    },
    timer: {
      label: "Polling schedule",
      description: "How often you want to query CloudWatch Logs Insights for results",
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
  },
  async run() {
    const now = +new Date();
    const startTime = this.db.get("startTime") || now - 1000 * 60 * 60;

    // First, start the query
    const params = {
      queryString: this.queryString,
      startTime,
      endTime: now,
      logGroupNames: this.logGroupNames,
    };

    const { queryId } = await this.startQuery(params);

    // Then poll for its status, emitting each record as its own event when completed
    async function sleep(ms) {
      return new Promise((r) => setTimeout(r, ms));
    }

    let result, res;
    do {
      await sleep(1000);
      res = await this.getQueryResults({
        queryId,
      });
      result = res.status;
    } while (result === "Running" || result === "Scheduled");

    if (result !== "Complete") {
      throw new Error(`Query ${queryId} failed with status ${result}`);
    }

    console.log(JSON.stringify(res, null, 2));
    const { results } = res;

    if (!results || !results.length) {
      console.log("No results, exiting");
      this.db.set("startTime", now);
      return;
    }

    if (this.emitResultsInBatch === true) {
      this.$emit(results, {
        summary: JSON.stringify(results),
      });
    } else {
      for (const item of results) {
        this.$emit(item, {
          summary: JSON.stringify(item),
        });
      }
    }

    // The next time this source runs, query for data starting now
    this.db.set("startTime", now);
  },
};

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
AWS	`aws`	`app`	This component uses the AWS app.
AWS Region	`region`	`string`	Select a value from the drop down menu.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
CloudWatch Log Groups	`logGroupNames`	`string[]`	Select a value from the drop down menu.
Logs Insights Query	`queryString`	`string`	The query you'd like to run. See this AWS doc for help with query syntax
Emit query results as a single event	`emitResultsInBatch`	`boolean`	If `true`, all events are emitted as an array, within a single Pipedream event. If `false`, each row of results is emitted as its own event. Defaults to `true`
Polling schedule	`timer`	`$.interface.timer`	How often you want to query CloudWatch Logs Insights for results

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#

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

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.

More Ways to Connect api4ai + AWS#

Other Popular Integrations#

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Alcohol Label Recognition with api4ai API on New Records Returned by CloudWatch Logs Insights Query from AWS API

Pipedream makes it easy to connect APIs for api4ai, AWS and 2,400+ other apps remarkably fast.

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

Developers ♥ Pipedream

Vodka

Brandy

Beer

Tekila

Bourbon

10 drinks

Rum

Wine

Liqueur

Whiskey

Cognac

🤖 Demo

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