← Notion + Google Vertex AI integrations

Analyze Image/Video with Google Vertex AI API on Updated Page ID from Notion API

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Updated Page ID from the Notion 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 Notion trigger and Google Vertex AI action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Select this integration
  2. Configure the Updated Page ID trigger
    1. Connect your Notion account
    2. Configure timer
    3. Select a Page ID
  3. 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
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. 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

Description:Emit new event when a selected page is updated
Version:0.0.5
Key:notion-updated-page-id

Notion Overview

Notion's API allows for the creation, reading, updating, and deleting of pages, databases, and their contents within Notion. Using Pipedream's platform, you can build workflows that connect Notion with various other services to automate tasks such as content management, task tracking, and data synchronization. With Pipedream's serverless execution, you can trigger these workflows on a schedule, or by external events from other services, without managing any infrastructure.

Trigger Code

import notion from "../../notion.app.mjs";
import base from "../common/base.mjs";
import constants from "../common/constants.mjs";

export default {
  ...base,
  key: "notion-updated-page-id",
  name: "Updated Page ID", /* eslint-disable-line pipedream/source-name */
  description: "Emit new event when a selected page is updated",
  version: "0.0.5",
  type: "source",
  dedupe: "unique",
  props: {
    ...base.props,
    pageId: {
      propDefinition: [
        notion,
        "pageId",
      ],
    },
  },
  async run() {
    const page = await this.notion.retrievePage(this.pageId);

    if (this.isResultNew(page.last_edited_time, this.getLastUpdatedTimestamp())) {
      const meta = this.generateMeta(
        page,
        constants.types.PAGE,
        constants.timestamps.LAST_EDITED_TIME,
        constants.summaries.PAGE_UPDATED,
        true,
      );

      this.$emit(page, meta);
      this.setLastUpdatedTimestamp(Date.parse(page.last_edited_time));
    }
  },
};

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.
LabelPropTypeDescription
NotionnotionappThis component uses the Notion app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
timer$.interface.timer
Page IDpageIdstringSelect a value from the drop down menu.

Trigger Authentication

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

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

About Notion

Notion is a new tool that blends your everyday work apps into one. It's the all-in-one workspace for you and your team.

Action

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

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.

LabelPropTypeDescription
Google Vertex AIvertexAiappThis component uses the Google Vertex AI app.
Project IDprojectIdstringSelect a value from the drop down menu.
Instructionsinstructionsstring

The rules for analysis of the input image/video

URLurlstring

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 TypemimeTypestring

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

About Google Vertex AI

Vertex AI offers everything you need to build and use generative AI—from AI solutions, to Search and Conversation, to 130+ foundation models, to a unified AI platform.

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