← Google Drive + OpenAI (ChatGPT) integrations

Chat with OpenAI (ChatGPT) API on Changes to Specific Files (Shared Drive) from Google Drive API

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Changes to Specific Files (Shared Drive) from the Google Drive API
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Getting Started

This integration creates a workflow with a Google Drive trigger and OpenAI (ChatGPT) 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 Changes to Specific Files (Shared Drive) trigger
    1. Connect your Google Drive account
    2. Select a Drive
    3. Configure Push notification renewal schedule
    4. Select one or more Files
    5. Configure intervalAlert
    6. Optional- Configure Minimum Interval Per File
  3. Configure the Chat action
    1. Connect your OpenAI (ChatGPT) account
    2. Select a Model
    3. Configure User Message
    4. Optional- Configure Max Tokens
    5. Optional- Configure Temperature
    6. Optional- Configure Top P
    7. Optional- Configure N
    8. Optional- Configure Stop
    9. Optional- Configure Presence Penalty
    10. Optional- Configure Frequency Penalty
    11. Optional- Configure User
    12. Optional- Configure System Instructions
    13. Optional- Configure Prior Message History
    14. Optional- Configure Images
    15. Optional- Configure Audio
    16. Optional- Select a Response Format
    17. Optional- Select one or more Tool Types
  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:Watches for changes to specific files in a shared drive, emitting an event when a change is made to one of those files
Version:0.2.3
Key:google_drive-changes-to-specific-files-shared-drive

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

// This source processes changes to specific files in a user's Google Drive,
// implementing strategy enumerated in the Push Notifications API docs:
// https://developers.google.com/drive/api/v3/push .
//
// This source has two interfaces:
//
// 1) The HTTP requests tied to changes in files in the user's Google Drive
// 2) A timer that runs on regular intervals, renewing the notification channel as needed

import common from "../common-webhook.mjs";
import sampleEmit from "./test-event.mjs";

import {
  GOOGLE_DRIVE_NOTIFICATION_CHANGE,
  GOOGLE_DRIVE_NOTIFICATION_ADD,
  GOOGLE_DRIVE_NOTIFICATION_UPDATE,
} from "../../common/constants.mjs";
import commonDedupeChanges from "../common-dedupe-changes.mjs";

/**
 * This source uses the Google Drive API's
 * {@link https://developers.google.com/drive/api/v3/reference/changes/watch changes: watch}
 * endpoint to subscribe to changes to the user's drive or a shard drive.
 */
export default {
  ...common,
  key: "google_drive-changes-to-specific-files-shared-drive",
  name: "Changes to Specific Files (Shared Drive)",
  description: "Watches for changes to specific files in a shared drive, emitting an event when a change is made to one of those files",
  version: "0.2.3",
  type: "source",
  // Dedupe events based on the "x-goog-message-number" header for the target channel:
  // https://developers.google.com/drive/api/v3/push#making-watch-requests
  dedupe: "unique",
  props: {
    ...common.props,
    files: {
      type: "string[]",
      label: "Files",
      description: "The files you want to watch for changes.",
      options({ prevContext }) {
        const { nextPageToken } = prevContext;
        return this.googleDrive.listFilesOptions(nextPageToken, this.getListFilesOpts());
      },
    },
    ...commonDedupeChanges.props,
  },
  hooks: {
    async deploy() {
      const daysAgo = new Date();
      daysAgo.setDate(daysAgo.getDate() - 30);
      const timeString = daysAgo.toISOString();

      const args = this.getListFilesOpts({
        q: `mimeType != "application/vnd.google-apps.folder" and modifiedTime > "${timeString}" and trashed = false`,
        fields: "files",
        pageSize: 5,
      });

      const { files } = await this.googleDrive.listFilesInPage(null, args);

      this.processChanges(files);
    },
    ...common.hooks,
  },
  methods: {
    ...common.methods,
    getUpdateTypes() {
      return [
        GOOGLE_DRIVE_NOTIFICATION_ADD,
        GOOGLE_DRIVE_NOTIFICATION_CHANGE,
        GOOGLE_DRIVE_NOTIFICATION_UPDATE,
      ];
    },
    generateMeta(data, headers) {
      const {
        id: fileId,
        name: fileName,
        modifiedTime: tsString,
      } = data;
      const ts = Date.parse(tsString);
      const eventId = headers && headers["x-goog-message-number"];
      const resourceState = headers && headers["x-goog-resource-state"];

      const summary = resourceState
        ? `${resourceState.toUpperCase()} - ${fileName || "Untitled"}`
        : fileName || "Untitled";

      return {
        id: `${fileId}-${eventId || ts}`,
        summary,
        ts,
      };
    },
    isFileRelevant(file) {
      return this.files.includes(file.id);
    },
    getChanges(headers) {
      if (!headers) {
        return {
          change: { },
        };
      }
      return {
        change: {
          state: headers["x-goog-resource-state"],
          resourceURI: headers["x-goog-resource-uri"],
          changed: headers["x-goog-changed"], // "Additional details about the changes. Possible values: content, parents, children, permissions"
        },
      };
    },
    processChange(file, headers) {
      const changes = this.getChanges(headers);
      const eventToEmit = {
        file,
        ...changes,
      };
      const meta = this.generateMeta(file, headers);
      this.$emit(eventToEmit, meta);
    },
    processChanges(changedFiles, headers) {
      console.log(`Processing ${changedFiles.length} changed files`);
      console.log(`Changed files: ${JSON.stringify(changedFiles, null, 2)}!!!`);
      console.log(`Files: ${this.files}!!!`);

      const filteredFiles = this.checkMinimumInterval(changedFiles);
      for (const file of filteredFiles) {
        if (!this.isFileRelevant(file)) {
          console.log(`Skipping event for irrelevant file ${file.id}`);
          continue;
        }
        this.processChange(file, headers);
      }
    },
  },
  sampleEmit,
};

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
Google DrivegoogleDriveappThis component uses the Google Drive app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
N/Ahttp$.interface.httpThis component uses $.interface.http to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the run() method of the component.
DrivedrivestringSelect a value from the drop down menu.
Push notification renewal scheduletimer$.interface.timer

The Google Drive API requires occasional renewal of push notification subscriptions. This runs in the background, so you should not need to modify this schedule.

Filesfilesstring[]Select a value from the drop down menu.
Minimum Interval Per FileperFileIntervalinteger

How many minutes to wait until the same file can emit another event.

If set to 0, this interval is disabled and all events will be emitted.

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

Description:The Chat API, using the `gpt-3.5-turbo` or `gpt-4` model. [See the documentation](https://platform.openai.com/docs/api-reference/chat)
Version:0.2.3
Key:openai-chat

OpenAI (ChatGPT) Overview

OpenAI provides a suite of powerful AI models through its API, enabling developers to integrate advanced natural language processing and generative capabilities into their applications. Here’s an overview of the services offered by OpenAI's API:

Use Python or Node.js code to make fully authenticated API requests with your OpenAI account:

Action Code

import openai from "../../openai.app.mjs";
import common from "../common/common.mjs";
import constants from "../../common/constants.mjs";
import { ConfigurationError } from "@pipedream/platform";

export default {
  ...common,
  name: "Chat",
  version: "0.2.3",
  key: "openai-chat",
  description: "The Chat API, using the `gpt-3.5-turbo` or `gpt-4` model. [See the documentation](https://platform.openai.com/docs/api-reference/chat)",
  type: "action",
  props: {
    openai,
    modelId: {
      propDefinition: [
        openai,
        "chatCompletionModelId",
      ],
    },
    userMessage: {
      label: "User Message",
      type: "string",
      description: "The user messages provide instructions to the assistant. They can be generated by the end users of an application, or set by a developer as an instruction.",
    },
    ...common.props,
    systemInstructions: {
      label: "System Instructions",
      type: "string",
      description: "The system message helps set the behavior of the assistant. For example: \"You are a helpful assistant.\" [See these docs](https://platform.openai.com/docs/guides/chat/instructing-chat-models) for tips on writing good instructions.",
      optional: true,
    },
    messages: {
      label: "Prior Message History",
      type: "string[]",
      description: "_Advanced_. Because [the models have no memory of past chat requests](https://platform.openai.com/docs/guides/chat/introduction), all relevant information must be supplied via the conversation. You can provide [an array of messages](https://platform.openai.com/docs/guides/chat/introduction) from prior conversations here. If this param is set, the action ignores the values passed to **System Instructions** and **Assistant Response**, appends the new **User Message** to the end of this array, and sends it to the API.",
      optional: true,
    },
    images: {
      label: "Images",
      type: "string[]",
      description: "Provide one or more images to [OpenAI's vision model](https://platform.openai.com/docs/guides/vision). Accepts URLs or base64 encoded strings. Compatible with the `gpt4-vision-preview` model",
      optional: true,
    },
    audio: {
      type: "string",
      label: "Audio",
      description: "Provide the file path to an audio file in the `/tmp` directory. For use with the `gpt-4o-audio-preview` model. Currently supports `wav` and `mp3` files.",
      optional: true,
    },
    responseFormat: {
      type: "string",
      label: "Response Format",
      description: "Specify the format that the model must output. \n- **Text** (default): Returns unstructured text output.\n- **JSON Object**: Ensures the model's output is a valid JSON object.\n- **JSON Schema** (GPT-4o and later): Enables you to define a specific structure for the model's output using a JSON schema. Supported with models `gpt-4o-2024-08-06` and later, and `gpt-4o-mini-2024-07-18` and later.",
      options: Object.values(constants.CHAT_RESPONSE_FORMAT),
      default: constants.CHAT_RESPONSE_FORMAT.TEXT.value,
      optional: true,
      reloadProps: true,
    },
    toolTypes: {
      type: "string[]",
      label: "Tool Types",
      description: "The types of tools to enable on the assistant",
      options: constants.TOOL_TYPES.filter((toolType) => toolType === "function"),
      optional: true,
      reloadProps: true,
    },
  },
  additionalProps() {
    const {
      responseFormat,
      toolTypes,
      numberOfFunctions,
    } = this;
    const props = {};

    if (responseFormat === constants.CHAT_RESPONSE_FORMAT.JSON_SCHEMA.value) {
      props.jsonSchema = {
        type: "string",
        label: "JSON Schema",
        description: "Define the schema that the model's output must adhere to. [See the documentation here](https://platform.openai.com/docs/guides/structured-outputs/supported-schemas).",
      };
    }

    if (toolTypes?.includes("function")) {
      props.numberOfFunctions = {
        type: "integer",
        label: "Number of Functions",
        description: "The number of functions to define",
        optional: true,
        reloadProps: true,
        default: 1,
      };

      for (let i = 0; i < (numberOfFunctions || 1); i++) {
        props[`functionName_${i}`] = {
          type: "string",
          label: `Function Name ${i + 1}`,
          description: "The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64.",
        };
        props[`functionDescription_${i}`] = {
          type: "string",
          label: `Function Description ${i + 1}`,
          description: "A description of what the function does, used by the model to choose when and how to call the function.",
          optional: true,
        };
        props[`functionParameters_${i}`] = {
          type: "object",
          label: `Function Parameters ${i + 1}`,
          description: "The parameters the functions accepts, described as a JSON Schema object. See the [guide](https://platform.openai.com/docs/guides/text-generation/function-calling) for examples, and the [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for documentation about the format.",
          optional: true,
        };
      }
    }

    return props;
  },
  methods: {
    ...common.methods,
    _buildTools() {
      const tools = this.toolTypes?.filter((toolType) => toolType !== "function")?.map((toolType) => ({
        type: toolType,
      })) || [];
      if (this.toolTypes?.includes("function")) {
        const numberOfFunctions = this.numberOfFunctions || 1;
        for (let i = 0; i < numberOfFunctions; i++) {
          tools.push({
            type: "function",
            function: {
              name: this[`functionName_${i}`],
              description: this[`functionDescription_${i}`],
              parameters: this[`functionParameters_${i}`],
            },
          });
        }
      }
      return tools.length
        ? tools
        : undefined;
    },
  },
  async run({ $ }) {
    if (this.audio && !this.modelId.includes("gpt-4o-audio-preview")) {
      throw new ConfigurationError("Use of audio files requires using the `gpt-4o-audio-preview` model.");
    }

    const args = this._getChatArgs();

    const response = await this.openai.createChatCompletion({
      $,
      data: {
        ...args,
        tools: this._buildTools(),
      },
    });

    if (response) {
      $.export("$summary", `Successfully sent chat with id ${response.id}`);
    }

    const { messages } = args;
    return {
      original_messages: messages,
      original_messages_with_assistant_response: messages.concat(response.choices[0]?.message),
      ...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
OpenAI (ChatGPT)openaiappThis component uses the OpenAI (ChatGPT) app.
ModelmodelIdstringSelect a value from the drop down menu.
User MessageuserMessagestring

The user messages provide instructions to the assistant. They can be generated by the end users of an application, or set by a developer as an instruction.

Max TokensmaxTokensinteger

The maximum number of tokens to generate in the completion.

Temperaturetemperaturestring

Optional. What sampling temperature to use. Higher values means the model will take more risks. Try 0.9 for more creative applications, and 0 (argmax sampling) for ones with a well-defined answer.

Top PtopPstring

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. We generally recommend altering this or temperature but not both.

Nninteger

How many completions to generate for each prompt

Stopstopstring[]

Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.

Presence PenaltypresencePenaltystring

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 PenaltyfrequencyPenaltystring

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.

Useruserstring

A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. Learn more here.

System InstructionssystemInstructionsstring

The system message helps set the behavior of the assistant. For example: "You are a helpful assistant." See these docs for tips on writing good instructions.

Prior Message Historymessagesstring[]

Advanced. Because the models have no memory of past chat requests, all relevant information must be supplied via the conversation. You can provide an array of messages from prior conversations here. If this param is set, the action ignores the values passed to System Instructions and Assistant Response, appends the new User Message to the end of this array, and sends it to the API.

Imagesimagesstring[]

Provide one or more images to OpenAI's vision model. Accepts URLs or base64 encoded strings. Compatible with the gpt4-vision-preview model

Audioaudiostring

Provide the file path to an audio file in the /tmp directory. For use with the gpt-4o-audio-preview model. Currently supports wav and mp3 files.

Response FormatresponseFormatstringSelect a value from the drop down menu:{ "label": "Text", "value": "text" }{ "label": "JSON Object", "value": "json_object" }{ "label": "JSON Schema", "value": "json_schema" }
Tool TypestoolTypesstring[]Select a value from the drop down menu:function

Action Authentication

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

About OpenAI (ChatGPT)

OpenAI is an AI research and deployment company with the mission to ensure that artificial general intelligence benefits all of humanity. They are the makers of popular models like ChatGPT, DALL-E, and Whisper.

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