Analyze Image/Video with Google Vertex AI API on New Event (Instant) from Updown.io API

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New Event (Instant) from the Updown.io API

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Analyze Image/Video with the Google Vertex AI API

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Getting Started#

This integration creates a workflow with a Updown.io trigger and Google Vertex 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 Event (Instant) trigger
1. Connect your Updown.io account
2. Optional- Select one or more Event Types
Configure the Analyze Image/Video action
1. Connect your Google Vertex AI account
2. Select a Project ID
3. Configure Instructions
4. Configure URL
5. Optional- Configure Mime Type
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 Event (Instant) on Updown.io

Description:Emit new event when a new webhook event occurs. [See the documentation](https://updown.io/api#webhooks)

Version:0.0.1

Key:updown_io-new-event-instant

View on GitHub

Updown.io Overview#

The Updown.io API allows you to interact programmatically with your website monitoring service. With this API, you can automate uptime checks, retrieve the status of your websites, manage checks, receive downtime alerts, and gather performance metrics. Integrating the Updown.io API with Pipedream enables you to create automated workflows that can respond to events, monitor services continuously, and connect with other apps to trigger actions based on the health and performance of your websites.

Trigger Code#

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

export default {
  ...common,
  key: "updown_io-new-event-instant",
  name: "New Event (Instant)",
  description: "Emit new event when a new webhook event occurs. [See the documentation](https://updown.io/api#webhooks)",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    eventTypes: {
      type: "string[]",
      label: "Event Types",
      description: "Filter the incoming events by event type",
      options: events,
      optional: true,
    },
  },
  methods: {
    ...common.methods,
    getEventTypes() {
      return this.eventTypes;
    },
  },
};

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
Updown.io	`updown`	`app`	This component uses the Updown.io app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.
Event Types	`eventTypes`	`string[]`	Select a value from the drop down menu:`{ "value": "check.down", "label": "When a check goes down (after confirmation)" }{ "value": "check.up", "label": "When a check is back up (recovery following a check.down event)" }{ "value": "check.ssl_invalid", "label": "When the SSL certificate is considered invalid" }{ "value": "check.ssl_valid", "label": "When the SSL certificate is valid again (recovery after a check.ssl_invalid event)" }{ "value": "check.ssl_expiration", "label": "When your SSL certificate approaches expiration date (1, 7, 14, and 30 days before for 1y certs)" }{ "value": "check.ssl_renewed", "label": "When the SSL certificate was renewed close to expiration (recovery for check.ssl_expiration)" }{ "value": "check.performance_drop", "label": "When the Apex drops more than 30% below the lowest of the last 5 hours" }`

Trigger Authentication#

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

To retrieve your API keys,

Navigate to your Updown.io account and sign in
Go to “Settings” > “API”

About Updown.io#

updown.io is a HTTP(S)/TCP/ICMP monitoring service which checks periodically the URL you want and reports back any anomaly, be it downtime, bad response, degraded performance or even broken SSL certificate.

Action#

Analyze Image/Video on Google Vertex AI

Description:Examines an image or video following given instructions. Results will contain the analysis findings. [See the documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.publishers.models/generateContent)

Version:0.0.1

Key:google_vertex_ai-analyze-image-video

View on GitHub

Google Vertex AI Overview#

With the Google Vertex AI API, you can tap into a robust suite of AI tools offered by Google Cloud to build, deploy, and scale machine learning models. Whether you're processing data, training custom models, or using pre-trained ones, Vertex AI provides a unified platform for AI development. In Pipedream, you can create serverless workflows that interact with Vertex AI, allowing you to automate tasks like model training, prediction, and resource management without provisioning your own infrastructure.

Action Code#

import vertexAi from "../../google_vertex_ai.app.mjs";

export default {
  key: "google_vertex_ai-analyze-image-video",
  name: "Analyze Image/Video",
  description: "Examines an image or video following given instructions. Results will contain the analysis findings. [See the documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.publishers.models/generateContent)",
  version: "0.0.1",
  type: "action",
  props: {
    vertexAi,
    projectId: {
      propDefinition: [
        vertexAi,
        "projectId",
      ],
    },
    instructions: {
      type: "string",
      label: "Instructions",
      description: "The rules for analysis of the input image/video",
    },
    url: {
      type: "string",
      label: "URL",
      description: "The URL of the file or video to analyze. Only GCS URIs are supported. Please make sure that the path is a valid GCS path. Example: `gs://cloud-samples-data/generative-ai/image/mount_fuji.jpg`",
    },
    mimeType: {
      type: "string",
      label: "Mime Type",
      description: "The mimeType of the image or video to analyze",
      optional: true,
      default: "image/jpeg",
    },
  },
  async run({ $ }) {
    const response = await this.vertexAi.generateContent({
      $,
      projectId: this.projectId,
      model: "gemini-1.0-pro-vision",
      data: {
        contents: [
          {
            role: "user",
            parts: [
              {
                fileData: {
                  mimeType: this.mimeType,
                  fileUri: this.url,
                },
              },
              {
                text: this.instructions,
              },
            ],
          },
        ],
      },
    });
    $.export("$summary", "Successfully analyzed resource");
    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
Google Vertex AI	`vertexAi`	`app`	This component uses the Google Vertex AI app.
Project ID	`projectId`	`string`	Select a value from the drop down menu.
Instructions	`instructions`	`string`	The rules for analysis of the input image/video
URL	`url`	`string`	The URL of the file or video to analyze. Only GCS URIs are supported. Please make sure that the path is a valid GCS path. Example: `gs://cloud-samples-data/generative-ai/image/mount_fuji.jpg`
Mime Type	`mimeType`	`string`	The mimeType of the image or video to analyze

Action Authentication#

Google Vertex AI uses OAuth authentication. When you connect your Google Vertex AI account, Pipedream will open a popup window where you can sign into Google Vertex AI and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Google Vertex AI API.

Pipedream requests the following authorization scopes when you connect your account:

emailprofilehttps://www.googleapis.com/auth/cloud-platform