← IMAP + OpenAI (ChatGPT) integrations

Create Image (Dall-E) with OpenAI (ChatGPT) API on New Email from IMAP API

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Trigger workflow on
New Email from the IMAP API
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Create Image (Dall-E) with the OpenAI (ChatGPT) API
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Getting Started

This integration creates a workflow with a IMAP 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 New Email trigger
    1. Connect your IMAP account
    2. Configure Polling interval
    3. Select a Mailbox
  3. Configure the Create Image (Dall-E) action
    1. Connect your OpenAI (ChatGPT) account
    2. Select a Model
    3. Configure Prompt
    4. Optional- Select a Response Format
    5. Optional- Select a Size
  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 for each new email in a mailbox
Version:0.0.4
Key:imap-new-email

IMAP Overview

Using Pipedream's IMAP API, developers can automate interactions with their email inbox, enabling serverless workflows that perform actions based on incoming emails. This could include parsing email contents, triggering events upon receiving emails from specific senders, attaching labels, and much more. By leveraging IMAP, Pipedream can act as a bridge between your email and other services, streamlining processes that would otherwise require manual intervention.

Trigger Code

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

/**
 * Creates an IMAP server connection and emits emails added to a mailbox after the last emitted
 * email.
 */
export default {
  key: "imap-new-email",
  name: "New Email",
  description: "Emit new event for each new email in a mailbox",
  version: "0.0.4",
  type: "source",
  dedupe: "unique",
  props: {
    imap,
    db: "$.service.db",
    timer: {
      label: "Polling interval",
      description:
        "Pipedream will poll the IMAP server for new emails at this interval",
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    mailbox: {
      propDefinition: [
        imap,
        "mailbox",
      ],
    },
  },
  methods: {
    _getLastUid(mailbox) {
      return this.db.get(`lastUid-${mailbox}`);
    },
    _setLastUid(mailbox, lastUid) {
      this.db.set(`lastUid-${mailbox}`, lastUid);
    },
    _getUidValidity(mailbox) {
      return this.db.get(`uidValidity-${mailbox}`);
    },
    _setUidValidity(mailbox, uidValidity) {
      this.db.set(`uidValidity-${mailbox}`, uidValidity);
    },
    _handleUidValidityChange(mailbox, uidValidity) {
      this._setUidValidity(mailbox, uidValidity);
      this._setLastUid(mailbox, null);
    },
    hasNewMessages(box) {
      const lastUid = this._getLastUid(box.name);
      return !lastUid || box.uidnext > lastUid + 1;
    },
    generateMeta(message) {
      const date = message.attributes?.date ?? new Date();
      const ts = Date.parse(date);
      return {
        id: `${message.attributes?.uid}-${ts}`,
        ts,
        summary: message.mail?.subject,
      };
    },
    processMessage(message) {
      const lastUid = message.attributes?.uid ?? lastUid;
      this._setLastUid(this.mailbox, lastUid);
      this.$emit(message.mail, this.generateMeta(message));
    },
    async processMessageStream(stream) {
      for await (const message of stream) {
        this.processMessage(message);
      }
    },
    async getHistoricalEvents() {
      const { mailbox } = this;
      const connection = await this.imap.getConnection();
      try {
        const box = await this.imap.openMailbox(connection, mailbox);
        const startSeqno = box.messages.total > 25
          ? box.messages.total - 24
          : 1;
        const messageStream = this.imap.fetchMessages(connection, {
          startSeqno,
        });
        await this.processMessageStream(messageStream);
      } finally {
        await this.imap.closeConnection(connection);
      }
    },
  },
  hooks: {
    async deploy() {
      await this.getHistoricalEvents();
    },
  },
  async run() {
    const { mailbox } = this;
    const connection = await this.imap.getConnection();

    try {
      const box = await this.imap.openMailbox(connection, mailbox);

      const uidValidity = this._getUidValidity(box.name);
      if (uidValidity !== box.uidvalidity) {
        this._handleUidValidityChange(box.name, box.uidvalidity);
      }

      if (!this.hasNewMessages(box)) {
        console.log("No new messages since last run");
        return;
      }

      const lastUid = this._getLastUid(box.name);

      // Fetch messages after lastUid if it exists, or most recent message otherwise
      const messageStream = this.imap.fetchMessages(connection, {
        startUid: lastUid && lastUid + 1,
        startSeqno: box.messages.total,
      });
      await this.processMessageStream(messageStream);
    } finally {
      await this.imap.closeConnection(connection);
    }
  },
};

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
IMAPimapappThis component uses the IMAP app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
Polling intervaltimer$.interface.timer

Pipedream will poll the IMAP server for new emails at this interval

MailboxmailboxstringSelect a value from the drop down menu.

Trigger Authentication

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

Below are the required fields to connect your IMAP account to Pipedream:

  • host: Enter the host Pipedream should connect to. Refer to your email provider's IMAP instructions if you aren't sure what to enter.
  • email: Enter the email address you use to sign in to the account you'd like to connect.
  • password: This is the password you use to sign in to your email account. Note: in order to connect a Gmail account, you must use an App Password.
  • port: Specify the port number, either 143 (default) or 993. Refer to your email provider's IMAP instructions if you aren't sure which to use.

For Gmail accounts, refer to these instructions.

About IMAP

Connect Pipedream to any IMAP email provider to trigger custom workflows.

Action

Description:Creates an image given a prompt returning a URL to the image. [See the documentation](https://platform.openai.com/docs/api-reference/images)
Version:0.1.14
Key:openai-create-image

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 constants from "../../common/constants.mjs";

export default {
  name: "Create Image (Dall-E)",
  version: "0.1.14",
  key: "openai-create-image",
  description: "Creates an image given a prompt returning a URL to the image. [See the documentation](https://platform.openai.com/docs/api-reference/images)",
  type: "action",
  props: {
    openai,
    model: {
      label: "Model",
      description: "Choose the DALL·E models to generate image(s) with.",
      type: "string",
      options: constants.IMAGE_MODELS,
      reloadProps: true,
    },
    prompt: {
      label: "Prompt",
      description: "A text description of the desired image(s). The maximum length is 1000 characters for dall-e-2 and 4000 characters for dall-e-3.",
      type: "string",
    },
    responseFormat: {
      label: "Response Format",
      description: "The format in which the generated images are returned.",
      type: "string",
      optional: true,
      options: constants.IMAGE_RESPONSE_FORMATS,
      default: "url",
    },
    size: {
      label: "Size",
      description: "The size of the generated images.",
      type: "string",
      optional: true,
      options: constants.IMAGE_SIZES,
      default: "1024x1024",
    },
  },
  async additionalProps() {
    const props = {};
    if (!this.model) {
      return props;
    }
    if (this.model !== "dall-e-3") {
      props.n = {
        type: "integer",
        label: "N",
        description: "The number of images to generate. Must be between 1 and 10.",
        optional: true,
        default: 1,
      };
    } else {
      props.quality = {
        type: "string",
        label: "Quality",
        description: "The quality of the image",
        options: constants.IMAGE_QUALITIES,
        optional: true,
        default: "standard",
      };
      props.style = {
        type: "string",
        label: "Style",
        description: "The style of the image",
        options: constants.IMAGE_STYLES,
        optional: true,
        default: "natural",
      };
    }
    return props;
  },
  async run({ $ }) {
    const response = await this.openai.createImage({
      $,
      data: {
        prompt: this.prompt,
        n: this.n,
        size: this.size,
        response_format: this.responseFormat,
        model: this.model,
        quality: this.quality,
        style: this.style,
      },
    });

    if (response.data.length) {
      $.export("$summary", `Successfully created ${response.data.length} images`);
    }

    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
OpenAI (ChatGPT)openaiappThis component uses the OpenAI (ChatGPT) app.
ModelmodelstringSelect a value from the drop down menu:dall-e-2dall-e-3
Promptpromptstring

A text description of the desired image(s). The maximum length is 1000 characters for dall-e-2 and 4000 characters for dall-e-3.

Response FormatresponseFormatstringSelect a value from the drop down menu:{ "label": "URL", "value": "url" }{ "label": "Base64 JSON", "value": "b64_json" }
SizesizestringSelect a value from the drop down menu:256x256512x5121024x10241792x10241024x1792

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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