Extract Text from Image with Azure AI Vision API on Failed Task in Schema from Snowflake API

Pipedream makes it easy to connect APIs for Azure AI Vision, Snowflake and 2,400+ other apps remarkably fast.

Trigger workflow on

Failed Task in Schema from the Snowflake API

Next, do this

Extract Text from Image with the Azure AI Vision 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 Azure AI Vision action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the Failed Task in Schema trigger
1. Connect your Snowflake account
2. Configure timer
3. Select a Database
4. Select one or more Schema
5. Optional- Configure Task Name
Configure the Extract Text from Image action
1. Connect your Azure AI Vision account
2. Configure Image URL
3. Optional- Select a Language
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#

Failed Task in Schema on Snowflake

Description:Emit new events when a task fails in a database schema

Version:0.1.2

Key:snowflake-failed-task-in-schema

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.mjs";

export default {
  ...common,
  props: {
    ...common.props,
    timer: {
      description: "Watch for failed tasks on this schedule",
      type: "$.interface.timer",
      default: {
        intervalSeconds: 15 * 60,
      },
    },
    database: {
      propDefinition: [
        common.props.snowflake,
        "database",
      ],
    },
    schemas: {
      propDefinition: [
        common.props.snowflake,
        "schema",
        (configuredProps) => ({
          database: configuredProps.database,
        }),
      ],
      type: "string[]",
    },
    taskName: {
      type: "string",
      label: "Task Name",
      description: "The name of the task to watch for failures. It allows you to use Regex to match multiple tasks.",
      optional: true,
    },
  },
  type: "source",
  key: "snowflake-failed-task-in-schema",
  // eslint-disable-next-line
  name: "Failed Task in Schema",
  description: "Emit new events when a task fails in a database schema",
  version: "0.1.2",
  async run() {
    await this.emitFailedTasks({
      database: this.database,
      schemas: this.schemas,
      taskName: this.taskName,
    });
  },
};

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 failed tasks on this schedule
Database	`database`	`string`	Select a value from the drop down menu.
Schema	`schemas`	`string[]`	Select a value from the drop down menu.
Task Name	`taskName`	`string`	The name of the task to watch for failures. It allows you to use Regex to match multiple tasks.

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#

Extract Text from Image on Azure AI Vision

Description:Extracts text from the provided image using Azure AI Vision OCR. [See the documentation](https://centraluseuap.dev.cognitive.microsoft.com/docs/services/unified-vision-apis-public-preview-2023-02-01-preview/operations/61d65934cd35050c20f73ab6)

Version:0.0.1

Key:azure_ai_vision-extract-text-from-image

View on GitHub

Azure AI Vision Overview#

The Azure AI Vision API provides powerful image analysis capabilities, enabling you to extract information and insights from your visual data. With this API, you can perform tasks like image classification, object detection, and OCR (Optical Character Recognition) to recognize text within images. Leveraging Pipedream, you can integrate these AI-powered insights into your workflows to create dynamic and automated processes.

Action Code#

import azureAiVision from "../../azure_ai_vision.app.mjs";

export default {
  key: "azure_ai_vision-extract-text-from-image",
  name: "Extract Text from Image",
  description: "Extracts text from the provided image using Azure AI Vision OCR. [See the documentation](https://centraluseuap.dev.cognitive.microsoft.com/docs/services/unified-vision-apis-public-preview-2023-02-01-preview/operations/61d65934cd35050c20f73ab6)",
  version: "0.0.1",
  type: "action",
  props: {
    azureAiVision,
    image: {
      propDefinition: [
        azureAiVision,
        "image",
      ],
    },
    language: {
      propDefinition: [
        azureAiVision,
        "language",
      ],
      optional: true,
    },
  },
  async run({ $ }) {
    const response = await this.azureAiVision.analyzeImage({
      $,
      data: {
        url: this.image,
      },
      params: {
        "features": "read",
        "language": this.language,
      },
    });

    $.export("$summary", "Successfully extracted text from 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
Azure AI Vision	`azureAiVision`	`app`	This component uses the Azure AI Vision app.
Image URL	`image`	`string`	The URL of the image from which you want to extract text.
Language	`language`	`string`	Select a value from the drop down menu:`{ "label": "English", "value": "en" }{ "label": "Chinese Simplified", "value": "zh-Hans" }{ "label": "French", "value": "fr" }{ "label": "German", "value": "de" }{ "label": "Italian", "value": "it" }{ "label": "Japanese", "value": "ja" }{ "label": "Korean", "value": "ko" }{ "label": "Portuguese", "value": "pt" }{ "label": "Spanish", "value": "es" }`

Action Authentication#

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

To retrieve your Endpoint and Subscription Key,

Navigate to your Azure Portal and sign in,
Click on "All resources" and look for your Azure AI Vision resource
Go to "Resource Management" > "Keys and endpoint"
Hit "Show Keys" to display your subscription keys

About Azure AI Vision#

Azure AI Vision is a unified service that offers innovative computer vision capabilities. Give your apps the ability to analyze images, read text, and detect faces with prebuilt image tagging, text extraction with optical character recognition (OCR), and responsible facial recognition. Incorporate vision features into your projects with no machine learning experience required.

More Ways to Connect Azure AI Vision + Snowflake#

Other Popular Integrations#

Extract Text from Image with Azure AI Vision API on New, Updated, or Deleted Warehouse from Snowflake API

Snowflake + Azure AI Vision