Analyze Text Sentiment with Google Vertex AI API on New Package Version from npm API

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Trigger workflow on

New Package Version from the npm API

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Analyze Text Sentiment with the Google Vertex AI API

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Getting Started#

This integration creates a workflow with a npm 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 Package Version trigger
1. Connect your npm account
2. Configure timer
3. Configure Package
Configure the Analyze Text Sentiment action
1. Connect your Google Vertex AI account
2. Select a Project ID
3. Configure Text
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 Package Version on npm

Description:Emit new event when a new version of an npm package is published. [See the documentation](https://github.com/npm/registry/blob/main/docs/responses/package-metadata.md)

Version:0.0.1

Key:npm-new-package-version

View on GitHub

Trigger Code#

import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";
import app from "../../npm.app.mjs";

export default {
  key: "npm-new-package-version",
  name: "New Package Version",
  description: "Emit new event when a new version of an npm package is published. [See the documentation](https://github.com/npm/registry/blob/main/docs/responses/package-metadata.md)",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    app,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    packageName: {
      type: "string",
      label: "Package",
      description: "Enter an npm package name. Leave blank for all",
      default: "@pipedream/platform",
    },
  },
  async run() {
    const {
      app,
      packageName,
    } = this;

    const response = await app.getPackageMetadata({
      debug: true,
      packageName,
    });

    const { "dist-tags": { latest: latestVersion } } = response;

    this.$emit(response, {
      id: latestVersion,
      summary: `New Package Version ${latestVersion}`,
      ts: Date.parse(response.modified),
    });
  },
};

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
npm	`app`	`app`	This component uses the npm app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
Package	`packageName`	`string`	Enter an npm package name. Leave blank for all

Trigger Authentication#

The npm API does not require authentication.

About npm#

Node package manager

Action#

Analyze Text Sentiment on Google Vertex AI

Description:Analyzes a specified text for its underlying sentiment. [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-text-sentiment

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-text-sentiment",
  name: "Analyze Text Sentiment",
  description: "Analyzes a specified text for its underlying sentiment. [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",
      ],
    },
    text: {
      type: "string",
      label: "Text",
      description: "The content to analyze for sentiment",
    },
  },
  async run({ $ }) {
    const response = await this.vertexAi.generateContent({
      $,
      projectId: this.projectId,
      model: "gemini-1.0-pro",
      data: {
        contents: [
          {
            role: "user",
            parts: [
              {
                text: `${this.text}\nClassify the sentiment of the message:\n`,
              },
            ],
          },
        ],
      },
    });
    $.export("$summary", "Successfully analyzed text sentiment");
    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.
Text	`text`	`string`	The content to analyze for sentiment

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