Create Image Generation Job with Leap 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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Create Image Generation Job with the Leap API

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Getting Started#

This integration creates a workflow with a AWS trigger and Leap 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 Create Image Generation Job action
1. Connect your Leap account
2. Select a Model
3. Configure Prompt
4. Optional- Configure Negative Prompt
5. Optional- Configure Number of Images
6. Optional- Configure Restore Faces
7. Optional- Configure Webhook URL
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#

Create Image Generation Job on Leap

Description:Queues an image generation job and returns the job details. [See the documentation](https://docs.tryleap.ai/reference/inferencescontroller_create-1)

Version:0.0.1

Key:leap-create-image-generation-job

View on GitHub

Leap Overview#

The Leap API enables automated interactions with the Leap.ai platform, which focuses on matching users with optimal job opportunities based on skills and preferences. In Pipedream, you can harness this API to create workflows that streamline the job search process, manage and analyze job matching data, or even integrate with other platforms to enhance the job seeking experience. With Pipedream's serverless execution environment, you can trigger these workflows on a schedule, via webhooks, or in response to events from other apps.

Action Code#

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

export default {
  key: "leap-create-image-generation-job",
  name: "Create Image Generation Job",
  description: "Queues an image generation job and returns the job details. [See the documentation](https://docs.tryleap.ai/reference/inferencescontroller_create-1)",
  version: "0.0.1",
  type: "action",
  props: {
    leap,
    model: {
      propDefinition: [
        leap,
        "model",
      ],
    },
    prompt: {
      type: "string",
      label: "Prompt",
      description: "Text description of the image you want to create",
    },
    negativePrompt: {
      type: "string",
      label: "Negative Prompt",
      description: "Text description of what should be avoided / not included in your generated image",
      optional: true,
    },
    numberOfImages: {
      type: "integer",
      label: "Number of Images",
      description: "The number of images to generate for the inference. Max batch size is 20.",
      optional: true,
      max: 20,
    },
    restoreFaces: {
      type: "boolean",
      label: "Restore Faces",
      description: "Optionally apply face restoration to the generated images. This will make images of faces look more realistic.",
      optional: true,
    },
    webhookUrl: {
      type: "string",
      label: "Webhook URL",
      description: "An optional webhook URL that will be called when the model is trained",
      optional: true,
    },
  },
  async run({ $ }) {
    const response = await this.leap.createImageGenerationJob({
      modelId: this.model,
      data: {
        prompt: this.prompt,
        negativePrompt: this.negativePrompt,
        numberOfImages: this.numberOfImages,
        restoreFaces: this.restoreFaces,
        webhookUrl: this.webhookUrl,
      },
      $,
    });

    if (response) {
      $.export("$summary", `Successfully created image generation job with id ${response.id}`);
    }

    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
Leap	`leap`	`app`	This component uses the Leap app.
Model	`model`	`string`	Select a value from the drop down menu.
Prompt	`prompt`	`string`	Text description of the image you want to create
Negative Prompt	`negativePrompt`	`string`	Text description of what should be avoided / not included in your generated image
Number of Images	`numberOfImages`	`integer`	The number of images to generate for the inference. Max batch size is 20.
Restore Faces	`restoreFaces`	`boolean`	Optionally apply face restoration to the generated images. This will make images of faces look more realistic.
Webhook URL	`webhookUrl`	`string`	An optional webhook URL that will be called when the model is trained

Action Authentication#

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

To retrieve your API Keys,

Navigate to your Leap account and sign in
Click on one of your Projects on the top left dropdown
Go to “API Keys”

About Leap#

Add AI features to your app in minutes. Generate images, fine tune models, and more with our easy-to-use API.

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

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

Developers ♥ Pipedream

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