Describe Image with astica.ai API on New Row from Snowflake API

Pipedream makes it easy to connect APIs for astica.ai, Snowflake and 2,200+ other apps remarkably fast.

Trigger workflow on

New Row from the Snowflake API

Next, do this

Describe Image with the astica.ai API

No credit card required

▶

Watch us build a workflow

8 min

Watch now ➜

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

Developers ♥ Pipedream

Getting Started#

This integration creates a workflow with a Snowflake 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 Row trigger
1. Connect your Snowflake account
2. Configure timer
3. Select a Database
4. Select a Schema
5. Select a Table Name
6. Select a Unique Key
7. Optional- Configure Emit individual events
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 Row on Snowflake

Description:Emit new event when a row is added to a table

Version:0.2.2

Key:snowflake-new-row

View on GitHub

Snowflake Overview#

Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.

Getting Started

1. Create a user, role and warehouse in Snowflake

Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.

We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.

2. Enter those details in Pipedream

Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.

You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.

3. Build your first workflow

Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.

Learn more at Pipedream University.

Trigger Code#

import common from "../common-table-scan.mjs";

export default {
  ...common,
  type: "source",
  key: "snowflake-new-row",
  name: "New Row",
  description: "Emit new event when a row is added to a table",
  version: "0.2.2",
  methods: {
    ...common.methods,
    async getStatement(lastResultId) {
      const sqlText = `
        SELECT *
        FROM IDENTIFIER(:1)
        WHERE ${this.uniqueKey} > :2
        ORDER BY ${this.uniqueKey} ASC
      `;
      const binds = [
        this.tableName,
        lastResultId,
      ];
      return {
        sqlText,
        binds,
      };
    },
  },
};

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
Snowflake	`snowflake`	`app`	This component uses the Snowflake app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`	Watch for changes on this schedule
Database	`database`	`string`	Select a value from the drop down menu.
Schema	`schema`	`string`	Select a value from the drop down menu.
Table Name	`tableName`	`string`	Select a value from the drop down menu.
Unique Key	`uniqueKey`	`string`	Select a value from the drop down menu.
Emit individual events	`emitIndividualEvents`	`boolean`	Defaults to `true`, triggering workflows on each record in the result set. Set to `false` to emit records in batch (advanced)

Trigger Authentication#

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

We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.

About Snowflake#

A data warehouse built for the cloud

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.