← Google Drive + OpenAI (ChatGPT) integrations

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

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Changes to Specific Files from the Google Drive API
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Chat with the OpenAI (ChatGPT) 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 trigger
    1. Connect your Google Drive account
    2. Optional- Configure Drive
    3. Configure Push notification renewal schedule
    4. Select one or more Files
    5. Configure intervalAlert
    6. Optional- Configure Minimum Interval Per File
    7. Select one or more Types of updates
  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, emitting an event when a change is made to one of those files. To watch for changes to [shared drive](https://support.google.com/a/users/answer/9310351) files, use the **Changes to Specific Files (Shared Drive)** source instead.
Version:0.2.3
Key:google_drive-changes-to-specific-files

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 cronParser from "cron-parser";
import sampleEmit from "./test-event.mjs";
import includes from "lodash/includes.js";
import { v4 as uuid } from "uuid";
import { MY_DRIVE_VALUE } from "../../common/constants.mjs";
import changesToSpecificFiles from "../changes-to-specific-files-shared-drive/changes-to-specific-files-shared-drive.mjs";

/**
 * This source uses the Google Drive API's
 * {@link https://developers.google.com/drive/api/v3/reference/files/watch files: watch}
 * endpoint to subscribe to changes to specific files in the user's drive.
 */
export default {
  ...changesToSpecificFiles,
  key: "google_drive-changes-to-specific-files",
  name: "Changes to Specific Files",
  description: "Watches for changes to specific files, emitting an event when a change is made to one of those files. To watch for changes to [shared drive](https://support.google.com/a/users/answer/9310351) files, use the **Changes to Specific Files (Shared Drive)** source instead.",
  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: {
    ...changesToSpecificFiles.props,
    drive: {
      type: "string",
      label: "Drive",
      description: "Defaults to `My Drive`. To use a [Shared Drive](https://support.google.com/a/users/answer/9310351), use the **Changes to Specific Files (Shared Drive)** source instead.",
      optional: true,
      default: MY_DRIVE_VALUE,
    },
    updateTypes: {
      propDefinition: [
        changesToSpecificFiles.props.googleDrive,
        "updateTypes",
      ],
    },
  },
  hooks: {
    ...changesToSpecificFiles.hooks,
    async activate() {
      // Called when a component is created or updated. Handles all the logic
      // for starting and stopping watch notifications tied to the desired
      // files.

      // You can pass the same channel ID in watch requests for multiple files, so
      // our channel ID is fixed for this component to simplify the state we have to
      // keep track of.
      const channelID = uuid();

      // Subscriptions are keyed on Google's resourceID, "an opaque value that
      // identifies the watched resource". This value is included in request
      // headers, allowing us to look up the watched resource.
      let subscriptions = this._getSubscriptions() || {};

      const files = this.files;
      for (const fileID of files) {
        const {
          expiration,
          resourceId,
        } = await this.googleDrive.activateFileHook(
          channelID,
          this.http.endpoint,
          fileID,
        );
        // The fileID must be kept with the subscription metadata so we can
        // renew the watch request for this specific file when it expires.
        subscriptions[resourceId] = {
          expiration,
          fileID,
        };
      }

      // Save metadata on the subscription so we can stop / renew later
      this._setSubscriptions(subscriptions);
      this._setChannelID(channelID);
    },
    async deactivate() {
      const channelID = this._getChannelID();
      if (!channelID) {
        console.log(
          "Channel not found, cannot stop notifications for non-existent channel",
        );
        return;
      }

      const subscriptions = this._getSubscriptions() || {};
      for (const resourceId of Object.keys(subscriptions)) {
        await this.googleDrive.stopNotifications(channelID, resourceId);
      }

      // Reset DB state
      this._setSubscriptions({});
      this._setChannelID(null);
    },
  },
  methods: {
    ...changesToSpecificFiles.methods,
    _getSubscriptions() {
      return this.db.get("subscriptions") || {};
    },
    _setSubscriptions(subscriptions) {
      this.db.set("subscriptions", subscriptions);
    },
    _getNextTimerEventTimestamp(event) {
      if (event.cron) {
        return cronParser
          .parseExpression(event.cron)
          .next()
          .getTime();
      }
      if (event.interval_seconds) {
        return Date.now() + event.interval_seconds * 1000;
      }
    },
    async renewFileSubscriptions(event) {
      const subscriptions = this._getSubscriptions() || {};
      const channelID = this._getChannelID();
      const newChannelID = uuid();

      const nextRunTimestamp = this._getNextTimerEventTimestamp(event);

      for (const [
        currentResourceId,
        metadata,
      ] of Object.entries(subscriptions)) {
        const { fileID } = metadata;

        const subscription = {
          ...metadata,
          resourceId: currentResourceId,
        };
        const {
          expiration,
          resourceId,
        } = await this.googleDrive.renewFileSubscription(
          subscription,
          this.http.endpoint,
          channelID,
          newChannelID,
          fileID,
          nextRunTimestamp,
        );
        subscriptions[resourceId] = {
          expiration,
          fileID,
        };
      }
      this._setSubscriptions(subscriptions);
      this._setChannelID(newChannelID);
    },
  },
  async run(event) {
    // This function is polymorphic: it can be triggered as a cron job, to make sure we renew
    // watch requests for specific files, or via HTTP request (the change payloads from Google)

    // Component was invoked by timer
    if (event.timestamp) {
      return this.renewFileSubscriptions(event);
    }

    const channelID = this._getChannelID();
    let subscriptions = this._getSubscriptions() || {};

    const { headers } = event;

    if (
      !headers["x-goog-resource-state"] ||
      !headers["x-goog-resource-id"] ||
      !headers["x-goog-resource-uri"] ||
      !headers["x-goog-message-number"]
    ) {
      console.log("Request missing necessary headers: ", headers);
      return;
    }

    const incomingChannelID = headers["x-goog-channel-id"];
    if (incomingChannelID !== channelID) {
      console.log(
        `Channel ID of ${incomingChannelID} not equal to deployed component channel of ${channelID}`,
      );
      return;
    }

    if (subscriptions[headers["x-goog-resource-id"]] === undefined) {
      console.log(
        `Resource ID of ${headers["x-goog-resource-id"]} not currently being tracked. Exiting`,
      );
      return;
    }

    if (!includes(this.updateTypes, headers["x-goog-resource-state"])) {
      console.log(
        `Update type ${headers["x-goog-resource-state"]} not in list of updates to watch: `,
        this.updateTypes,
      );
      return;
    }

    // We observed false positives where a single change to a document would trigger two changes:
    // one to "properties" and another to "content,properties". But changes to properties
    // alone are legitimate, most users just won't want this source to emit in those cases.
    // If x-goog-changed is _only_ set to "properties", only move on if the user set the prop
    if (
      !this.watchForPropertiesChanges &&
      headers["x-goog-changed"] === "properties"
    ) {
      console.log(
        "Change to properties only, which this component is set to ignore. Exiting",
      );
      return;
    }

    const file = await this.googleDrive.getFileMetadata(
      headers["x-goog-resource-uri"],
    );

    if (!file || !Object.keys(file).length) {
      console.log("No file metadata returned, nothing to emit");
      return;
    }

    const [
      checkedFile,
    ] = this.checkMinimumInterval([
      file,
    ]);
    if (checkedFile) {
      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.
Drivedrivestring

Defaults to My Drive. To use a Shared Drive, use the Changes to Specific Files (Shared Drive) source instead.

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.

Types of updatesupdateTypesstring[]Select a value from the drop down menu:{ "label": "'sync' - A channel was successfully created. You can expect to start receiving notifications for it.", "value": "sync" }{ "label": "'add' - A resource was created or shared.", "value": "add" }{ "label": "'remove' - An existing resource was deleted or unshared.", "value": "remove" }{ "label": "'update' - One or more properties (metadata) of a resource have been updated.", "value": "update" }{ "label": "'trash' - A resource has been moved to the trash.", "value": "trash" }{ "label": "'untrash' - A resource has been removed from the trash.", "value": "untrash" }{ "label": "'change' - One or more changelog items have been added.", "value": "change" }

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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Send marketing and transactional email through the Twilio SendGrid platform with the Email API, proprietary mail transfer agent, and infrastructure for scalable delivery.
Amazon SES
Amazon SES
Amazon SES is a cloud-based email service provider that can integrate into any application for high volume email automation
Premium
Klaviyo
Klaviyo
Email Marketing and SMS Marketing Platform
Premium
Zendesk
Zendesk
Zendesk is award-winning customer service software trusted by 200K+ customers. Make customers happy via text, mobile, phone, email, live chat, social media.
Notion
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.
Slack
Slack
Slack is a channel-based messaging platform. With Slack, people can work together more effectively, connect all their software tools and services, and find the information they need to do their best work — all within a secure, enterprise-grade environment.
Microsoft Teams
Microsoft Teams
Microsoft Teams has communities, events, chats, channels, meetings, storage, tasks, and calendars in one place.
Schedule
Schedule
Trigger workflows on an interval or cron schedule.