Classify Items with 302.AI API on New Presentation (Instant) from Google Drive API

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New Presentation (Instant) from the Google Drive API

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Classify Items with the 302.AI API

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Getting Started#

This integration creates a workflow with a Google Drive trigger and 302.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 Presentation (Instant) trigger
1. Connect your Google Drive account
2. Select a Drive
3. Configure Push notification renewal schedule
4. Configure alert
5. Optional- Select one or more Folders
Configure the Classify Items action
1. Connect your 302.AI account
2. Select a Model
3. Optional- Configure Max Tokens
4. Optional- Configure Temperature
5. Optional- Configure Top P
6. Optional- Configure N
7. Optional- Configure Stop
8. Optional- Configure Presence Penalty
9. Optional- Configure Frequency Penalty
10. Optional- Configure User
11. Configure info
12. Configure Items
13. Configure Categories
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 Presentation (Instant) on Google Drive

Description:Emit new event each time a new presentation is created in a drive.

Version:0.0.4

Key:google_slides-new-presentation

View on GitHub

Google Drive Overview#

The Google Drive API on Pipedream allows you to automate various file management tasks, such as creating, reading, updating, and deleting files within your Google Drive. You can also share files, manage permissions, and monitor changes to files and folders. This opens up possibilities for creating workflows that seamlessly integrate with other apps and services, streamlining document handling, backup processes, and collaborative workflows.

Trigger Code#

import newFilesInstant from "../../../google_drive/sources/new-files-instant/new-files-instant.mjs";

export default {
  ...newFilesInstant,
  key: "google_slides-new-presentation",
  type: "source",
  name: "New Presentation (Instant)",
  description: "Emit new event each time a new presentation is created in a drive.",
  version: "0.0.4",
  hooks: {
    ...newFilesInstant.hooks,
    async deploy() {
      // Emit sample records on the first run
      const slides = await this.getPresentations(5);
      for (const fileInfo of slides) {
        const createdTime = Date.parse(fileInfo.createdTime);
        this.$emit(fileInfo, {
          summary: `New File: ${fileInfo.name}`,
          id: fileInfo.id,
          ts: createdTime,
        });
      }
    },
  },
  props: {
    ...newFilesInstant.props,
    folders: {
      ...newFilesInstant.props.folders,
      description:
        "(Optional) The folders you want to watch. Leave blank to watch for any new presentation in the Drive.",
    },
  },
  methods: {
    ...newFilesInstant.methods,
    shouldProcess(file) {
      return (
        file.mimeType.includes("presentation") &&
        newFilesInstant.methods.shouldProcess.bind(this)(file)
      );
    },
    getPresentationsFromFolderOpts(folderId) {
      const mimeQuery = "mimeType = 'application/vnd.google-apps.presentation'";
      let opts = {
        q: `${mimeQuery} and parents in '${folderId}' and trashed = false`,
      };
      if (!this.isMyDrive()) {
        opts = {
          corpora: "drive",
          driveId: this.getDriveId(),
          includeItemsFromAllDrives: true,
          supportsAllDrives: true,
          ...opts,
        };
      }
      return opts;
    },
    async getPresentations(limit) {
      const slides = [];
      const foldersIds = this.folders;
      for (const folderId of foldersIds) {
        const opts = this.getPresentationsFromFolderOpts(folderId);
        const filesWrapper = await this.googleDrive.listFilesInPage(null, opts);
        for (const file of filesWrapper.files) {
          const fileInfo = await this.googleDrive.getFile(file.id);
          slides.push(fileInfo);
          if (slides.length >= limit) { return slides; }
        }
      }
      return slides;
    },
  },
};

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
Google Drive	`googleDrive`	`app`	This component uses the Google Drive 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.
Drive	`drive`	`string`	Select a value from the drop down menu.
Folders	`folders`	`string[]`	Select a value from the drop down menu.

Trigger Authentication#

Google Drive uses OAuth authentication. When you connect your Google Drive account, Pipedream will open a popup window where you can sign into Google Drive 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 Drive API.

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

https://www.googleapis.com/auth/drive

About Google Drive#

Google Drive is a file storage and synchronization service which allows you to create and share your work online, and access your documents from anywhere.

Action#

Classify Items on 302.AI

Description:Classify input items into predefined categories using 302.AI models. Perfect for tagging, segmentation, and automated organization. [See documentation](https://doc.302.ai/147522039e0)

Version:0.0.1

Key:_302_ai-classify-items

View on GitHub

Action Code#

import common from "../common/common-helper.mjs";

export default {
  ...common,
  name: "Classify Items",
  version: "0.0.1",
  annotations: {
    destructiveHint: false,
    openWorldHint: true,
    readOnlyHint: true,
  },
  key: "_302_ai-classify-items",
  description: "Classify input items into predefined categories using 302.AI models. Perfect for tagging, segmentation, and automated organization. [See documentation](https://doc.302.ai/147522039e0)",
  type: "action",
  props: {
    ...common.props,
    info: {
      type: "alert",
      alertType: "info",
      content: `Provide a list of **items** and a list of **categories**. The output will contain an array of objects, each with properties \`item\` and \`category\`
        \nExample:
        \nIf **Categories** is \`["people", "pets"]\`, and **Items** is \`["dog", "George Washington"]\`
        \n The output will contain the following categorizations:
        \n \`[{"item":"dog","category":"pets"},{"item":"George Washington","category":"people"}]\`
      `,
    },
    items: {
      label: "Items",
      description: "Items to categorize",
      type: "string[]",
    },
    categories: {
      label: "Categories",
      description: "Categories to classify items into",
      type: "string[]",
    },
  },
  methods: {
    ...common.methods,
    systemInstructions() {
      return "Your goal is to categorize items into specific categories and produce ONLY JSON. The user will provide both the items and categories. Please only categorize items into the specific categories, and no others, and output ONLY JSON.";
    },
    outputFormat() {
      return "Please only categorize items into the specific categories, and no others. Output a valid JSON string — an array of objects, where each object has the following properties: item, category. Do not return any English text other than the JSON, either before or after the JSON. I need to parse the response as JSON, and parsing will fail if you return any English before or after the JSON";
    },
    userMessage() {
      return `Categorize each of the following items:\n\n${this.items.join("\n")}\n\ninto one of the following categories:\n\n${this.categories.join("\n")}\n\n${this.outputFormat()}`;
    },
    summary() {
      return `Categorized ${this.items.length} items into ${this.categories.length} categories`;
    },
    formatOutput({
      messages, response,
    }) {
      if (!messages || !response) {
        throw new Error("Invalid API output, please reach out to https://pipedream.com/support");
      }
      const responses = response.choices?.map(({ message }) => message.content);
      const categorizations = [];
      for (const response of responses) {
        try {
          categorizations.push(JSON.parse(response));
        } catch (err) {
          console.log("Failed to parse output, assistant returned malformed JSON");
        }
      }
      const output = {
        messages,
      };
      const n = this.n
        ? parseInt(this.n)
        : 1;
      if (n > 1) {
        output.categorizations = categorizations;
      } else {
        output.categorizations = categorizations[0];
      }
      return output;
    },
  },
};

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
302.AI	`_302_ai`	`app`	This component uses the 302.AI app.
Model	`modelId`	`string`	Select a value from the drop down menu.
Max Tokens	`maxTokens`	`string`	The maximum number of tokens to generate in the completion.
Temperature	`temperature`	`string`	What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
Top P	`topP`	`string`	An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.
N	`n`	`string`	How many completions to generate for each prompt
Stop	`stop`	`string[]`	Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.
Presence Penalty	`presencePenalty`	`string`	Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
Frequency Penalty	`frequencyPenalty`	`string`	Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
User	`user`	`string`	A unique identifier representing your end-user, which can help monitor and detect abuse.
Items	`items`	`string[]`	Items to categorize
Categories	`categories`	`string[]`	Categories to classify items into

Action Authentication#

302.AI uses API keys for authentication. When you connect your 302.AI account, Pipedream securely stores the keys so you can easily authenticate to 302.AI APIs in both code and no-code steps.

About 302.AI#

302.AI is a pay-as-you-go enterprise AI resource hub that offers the latest and most comprehensive AI models and APIs on the market, along with a variety of ready-to-use online AI applications.

More Ways to Connect 302.AI + Google Drive#

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Pipedream makes it easy to connect APIs for 302.AI, Google Drive and 3,000+ other apps remarkably fast.

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

Developers ♥ Pipedream

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