Describe Image with astica.ai API on New Column from PostgreSQL API

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Trigger workflow on

New Column from the PostgreSQL API

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Describe Image with the astica.ai API

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Getting Started#

This integration creates a workflow with a PostgreSQL trigger and astica.ai action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Column trigger
1. Connect your PostgreSQL account
2. Configure Polling Interval
3. Select a Schema
4. Select a Table
Configure the Describe Image action
1. Connect your astica.ai account
2. Configure Image
3. Optional- Configure Describe
4. Optional- Configure GPT
5. Optional- Configure GPT Detailed
6. Optional- Configure Faces
7. Optional- Configure Moderate
8. Optional- Configure Tags
9. Optional- Configure Brands
10. Optional- Configure Celebrities
11. Optional- Configure Landmarks
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 Column on PostgreSQL

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

Version:2.0.6

Key:postgresql-new-column

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 Column",
  key: "postgresql-new-column",
  description: "Emit new event when a new column is added to a table. [See the documentation](https://node-postgres.com/features/queries)",
  version: "2.0.6",
  type: "source",
  props: {
    ...common.props,
    schema: {
      propDefinition: [
        common.props.postgresql,
        "schema",
      ],
    },
    table: {
      propDefinition: [
        common.props.postgresql,
        "table",
        (c) => ({
          schema: c.schema,
        }),
      ],
    },
  },
  async run() {
    const previousColumns = this._getPreviousValues() || [];

    const columns = await this.postgresql.getColumns(this.table, this.schema);

    const newColumns = columns.filter((column) => !previousColumns.includes(column));
    for (const column of newColumns) {
      const meta = this.generateMeta(column);
      this.$emit(column, meta);
    }

    this._setPreviousValues(columns);
  },
};

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.

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#

Describe Image on astica.ai

Description:Analyze an image with Astica AI [See the documentation](https://astica.ai/vision/documentation/)

Version:0.0.1

Key:astica_ai-describe-image

View on GitHub

astica.ai Overview#

The Astica.ai API affords developers the ability to tap into advanced natural language processing (NLP) capabilities. By integrating this API into Pipedream workflows, you can automate text analysis, summarization, sentiment analysis, and more, leveraging the AI-powered insights to enrich applications or streamline processes. Pipedream’s serverless platform makes it painless to set up event-driven workflows that respond to various triggers and manipulate or move data between apps with no need for infrastructure management.

Action Code#

import asticaAi from "../../astica_ai.app.mjs";

export default {
  name: "Describe Image",
  description: "Analyze an image with Astica AI [See the documentation](https://astica.ai/vision/documentation/)",
  key: "astica_ai-describe-image",
  version: "0.0.1",
  type: "action",
  props: {
    asticaAi,
    image: {
      type: "string",
      label: "Image",
      description: "The URL of the image to analyze",
    },
    describe: {
      type: "boolean",
      label: "Describe",
      description: "Returns a caption which describes the image.",
      optional: true,
      default: false,
    },
    gpt: {
      type: "boolean",
      label: "GPT",
      description: "Uses the result of asticaVision to create a GPT description. Using this parameter increases the processing time of your API request. Be Patient.",
      optional: true,
      default: false,
    },
    gpt_detailed: {
      type: "boolean",
      label: "GPT Detailed",
      description: "Uses the result of asticaVision to create a GPT-4 description. Using this parameter greatly increases the processing time of your API request. Please be patient.",
      optional: true,
      default: false,
    },
    faces: {
      type: "boolean",
      label: "Faces",
      description: "Returns the age and gender of all faces detected in the image.",
      optional: true,
      default: false,
    },
    moderate: {
      type: "boolean",
      label: "Moderate",
      description: "Returns a calculated value for different types of sensitive materials found in the image.",
      optional: true,
      default: false,
    },
    tags: {
      type: "boolean",
      label: "Tags",
      description: "Returns a list of descriptive terms which describe the image.",
      optional: true,
      default: false,
    },
    brands: {
      type: "boolean",
      label: "Brands",
      description: "Returns a list of brands that have been identified. For example, a logo on a cup, or a t-shirt.",
      optional: true,
      default: false,
    },
    celebrities: {
      type: "boolean",
      label: "Celebrities",
      description: "Returns a list of celebrities and other known persons that have been detected in the photo.",
      optional: true,
      default: false,
    },
    landmarks: {
      type: "boolean",
      label: "Landmarks",
      description: "Returns a list of known locations and landmarks found in the photo. For example, the Eiffel Tower.",
      optional: true,
      default: false,
    },
  },
  async run({ $ }) {
    const {
      asticaAi,
      image,
      ...otherProps
    } = this;

    const visionParams = [];
    for (const [
      key,
      value,
    ] of Object.entries(otherProps)) {
      if (value) {
        visionParams.push(key);
      }
    }

    const response = await asticaAi.describeImage({
      data: {
        input: image,
        visionParams: visionParams.join(","),
        modelVersion: "2.1_full",
        gpt_prompt: "",
        gpt_length: "90",
      },
      $,
    });

    if (response?.status === "success") {
      $.export("$summary", "Successfully analyzed image.");
    }

    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
astica.ai	`asticaAi`	`app`	This component uses the astica.ai app.
Image	`image`	`string`	The URL of the image to analyze
Describe	`describe`	`boolean`	Returns a caption which describes the image.
GPT	`gpt`	`boolean`	Uses the result of asticaVision to create a GPT description. Using this parameter increases the processing time of your API request. Be Patient.
GPT Detailed	`gpt_detailed`	`boolean`	Uses the result of asticaVision to create a GPT-4 description. Using this parameter greatly increases the processing time of your API request. Please be patient.
Faces	`faces`	`boolean`	Returns the age and gender of all faces detected in the image.
Moderate	`moderate`	`boolean`	Returns a calculated value for different types of sensitive materials found in the image.
Tags	`tags`	`boolean`	Returns a list of descriptive terms which describe the image.
Brands	`brands`	`boolean`	Returns a list of brands that have been identified. For example, a logo on a cup, or a t-shirt.
Celebrities	`celebrities`	`boolean`	Returns a list of celebrities and other known persons that have been detected in the photo.
Landmarks	`landmarks`	`boolean`	Returns a list of known locations and landmarks found in the photo. For example, the Eiffel Tower.