Create Image Generation Job with Leap API on New or Updated Row from PostgreSQL API

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New or Updated Row from the PostgreSQL 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 PostgreSQL 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 or Updated Row trigger
1. Connect your PostgreSQL account
2. Configure Polling Interval
3. Select a Schema
4. Select a Table
5. Select a Identifier Column
6. Select a Timestamp Column
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 or Updated Row on PostgreSQL

Description:Emit new event when a row is added or modified. [See the documentation](https://node-postgres.com/features/queries)

Version:2.0.6

Key:postgresql-new-or-updated-row

View on GitHub

PostgreSQL Overview#

On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.

Trigger Code#

import common from "../common.mjs";

export default {
  ...common,
  name: "New or Updated Row",
  key: "postgresql-new-or-updated-row",
  description: "Emit new event when a row is added or modified. [See the documentation](https://node-postgres.com/features/queries)",
  version: "2.0.6",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    schema: {
      propDefinition: [
        common.props.postgresql,
        "schema",
      ],
    },
    table: {
      propDefinition: [
        common.props.postgresql,
        "table",
        (c) => ({
          schema: c.schema,
        }),
      ],
    },
    identifierColumn: {
      label: "Identifier Column",
      propDefinition: [
        common.props.postgresql,
        "column",
        (c) => ({
          table: c.table,
          schema: c.schema,
        }),
      ],
      description: "The column to identify an unique row, commonly it's `id` or `uuid`.",
    },
    timestampColumn: {
      label: "Timestamp Column",
      propDefinition: [
        common.props.postgresql,
        "column",
        (c) => ({
          table: c.table,
          schema: c.schema,
        }),
      ],
      description: "A datetime column, such as 'date_updated' or 'last_modified' that is set to the current datetime when a row is updated.",
    },
  },
  hooks: {
    async deploy() {
      await this.initialRows(
        this.schema,
        this.table,
        this.timestampColumn,
        this.limit,
      );
    },
  },
  methods: {
    ...common.methods,
    generateMeta(row, column) {
      return {
        id: `${row[this.identifierColumn]}-${row[column]}`,
        summary: "Row Added/Updated",
        ts: row[column],
      };
    },
  },
  async run() {
    await this.newRows(this.schema, this.table, this.timestampColumn);
  },
};

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
PostgreSQL	`postgresql`	`app`	This component uses the PostgreSQL app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Polling Interval	`timer`	`$.interface.timer`	Pipedream will poll the API on this schedule
Schema	`schema`	`string`	Select a value from the drop down menu.
Table	`table`	`string`	Select a value from the drop down menu.
Identifier Column	`identifierColumn`	`string`	Select a value from the drop down menu.
Timestamp Column	`timestampColumn`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

Connecting to Restricted Databases

Either enable the shared static IP for this account below, or configure a VPC to deploy any workflow in your workspace to a private network with a dedicated static IP. Learn more in our docs.

SSL Setup

Configure SSL on your PostgreSQL database by providing the CA (Certificate Authority), and choosing between Full Verification, Verify Certificate Authority (CA), or Skip Verification. Skipping verification is not recommended as this has serious security implications.

About PostgreSQL#

PostgreSQL is a free and open-source relational database management system emphasizing extensibility and SQL compliance.

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”