Analyze Image Content with OpenAI (ChatGPT) API on New Purchase Created from DPD API

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New Purchase Created from the DPD API

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Analyze Image Content with the OpenAI (ChatGPT) API

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Getting Started#

This integration creates a workflow with a DPD trigger and OpenAI (ChatGPT) action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Purchase Created trigger
1. Connect your DPD account
2. Configure timer
3. Optional- Select a Storefront ID
4. Optional- Select a Product ID
5. Optional- Select a Customer ID
6. Optional- Select a Subscriber ID
7. Optional- Select a Status
Configure the Analyze Image Content action
1. Connect your OpenAI (ChatGPT) account
2. Configure Message
3. Optional- Configure Image URL
4. Optional- Select a File ID
5. Optional- Configure File Path
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 Purchase Created on DPD

Description:Emit new event when a purchase is made. [See the documentation](https://getdpd.com/docs/api/purchases.html#list-purchases)

Version:0.0.1

Key:dpd2-new-purchase-created

View on GitHub

DPD Overview#

The DPD API provides a gateway to manage and automate digital product sales. By integrating with Pipedream, you can craft serverless workflows that interact with your DPD account, harnessing the ability to automate tasks like creating products, updating customer details, or reacting to new sales in real-time. With Pipedream's ability to connect to a multitude of services, the DPD API can be part of a larger ecosystem, streamlining your e-commerce operations or enriching your customer data across platforms.

Trigger Code#

import dpd2 from "../../dpd2.app.mjs";
import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";
import sampleEmit from "./test-event.mjs";

export default {
  key: "dpd2-new-purchase-created",
  name: "New Purchase Created",
  description: "Emit new event when a purchase is made. [See the documentation](https://getdpd.com/docs/api/purchases.html#list-purchases)",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    dpd2,
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    db: "$.service.db",
    storefrontId: {
      propDefinition: [
        dpd2,
        "storefrontId",
      ],
    },
    productId: {
      propDefinition: [
        dpd2,
        "productId",
        (c) => ({
          storefrontId: c.storefrontId,
        }),
      ],
    },
    customerId: {
      propDefinition: [
        dpd2,
        "customerId",
      ],
    },
    subscriberId: {
      propDefinition: [
        dpd2,
        "subscriberId",
        (c) => ({
          storefrontId: c.storefrontId,
        }),
      ],
    },
    status: {
      propDefinition: [
        dpd2,
        "status",
      ],
    },
  },
  hooks: {
    async deploy() {
      await this.processEvent(25);
    },
  },
  methods: {
    _getLastCreated() {
      return this.db.get("lastCreated");
    },
    _setLastCreated(lastCreated) {
      this.db.set("lastCreated", lastCreated);
    },
    emitEvent(purchase) {
      const meta = this.generateMeta(purchase);
      this.$emit(purchase, meta);
    },
    generateMeta(purchase) {
      return {
        id: purchase.id,
        summary: `New Purchase: ${purchase.id}`,
        ts: purchase.created_at,
      };
    },
    async processEvent(max) {
      const lastCreated = this._getLastCreated();
      let purchases = await this.dpd2.listPurchases({
        params: {
          date_min: lastCreated,
          status: this.status,
          product_id: this.productId,
          storefrontId: this.storefrontId,
          customer_id: this.customerId,
          subscriber_id: this.subscriberId,
        },
      });
      if (!purchases?.length) {
        return;
      }
      this._setLastCreated(purchases[purchases.length - 1].created_at);
      if (max) {
        purchases = purchases.slice(max * -1);
      }
      purchases.forEach((purchase) => this.emitEvent(purchase));
    },
  },
  async run() {
    await this.processEvent();
  },
  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.

Label	Prop	Type	Description
DPD	`dpd2`	`app`	This component uses the DPD app.
	`timer`	`$.interface.timer`
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Storefront ID	`storefrontId`	`string`	Select a value from the drop down menu.
Product ID	`productId`	`string`	Select a value from the drop down menu.
Customer ID	`customerId`	`string`	Select a value from the drop down menu.
Subscriber ID	`subscriberId`	`string`	Select a value from the drop down menu.
Status	`status`	`string`	Select a value from the drop down menu:`{ "value": "ACT", "label": "Active" }{ "value": "PND", "label": "Pending" }{ "value": "RFD", "label": "Refunded" }{ "value": "ERR", "label": "Error" }{ "value": "CAN", "label": "Canceled" }{ "value": "HLD", "label": "Held" }`

Trigger Authentication#

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

To retrieve your API Credentials,

Navigate to your DPD account and sign in
Click on the User menu on the top right
Go to "Profile" > "DPD API Credentials"

About DPD#

DPD is an all-in-one shopping cart and digital fulfillment service to sell downloads. Serving thousands of stores, DPD processes and delivers millions worth of downloads each year.

Action#

Analyze Image Content on OpenAI (ChatGPT)

Description:Send a message or question about an image and receive a response. [See the documentation](https://platform.openai.com/docs/api-reference/runs/createThreadAndRun)

Version:0.1.2

Key:openai-analyze-image-content

View on GitHub

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-assistants.mjs";
import FormData from "form-data";
import fs from "fs";

export default {
  ...common,
  key: "openai-analyze-image-content",
  name: "Analyze Image Content",
  description: "Send a message or question about an image and receive a response. [See the documentation](https://platform.openai.com/docs/api-reference/runs/createThreadAndRun)",
  version: "0.1.2",
  type: "action",
  props: {
    openai,
    message: {
      type: "string",
      label: "Message",
      description: "The message or question to send",
    },
    imageUrl: {
      type: "string",
      label: "Image URL",
      description: "The URL of the image to analyze. Must be a supported image types: jpeg, jpg, png, gif, webp",
      optional: true,
    },
    imageFileId: {
      propDefinition: [
        openai,
        "fileId",
        () => ({
          purpose: "vision",
        }),
      ],
      optional: true,
    },
    filePath: {
      type: "string",
      label: "File Path",
      description: "The path to a file in the `/tmp` directory. [See the documentation on working with files](https://pipedream.com/docs/code/nodejs/working-with-files/#writing-a-file-to-tmp)",
      optional: true,
    },
  },
  async run({ $ }) {
    const { id: assistantId } = await this.openai.createAssistant({
      $,
      data: {
        model: "gpt-4o", // replaced from "gpt-4-vision-preview" - see https://platform.openai.com/docs/deprecations
      },
    });

    const data = {
      assistant_id: assistantId,
      thread: {
        messages: [
          {
            role: "user",
            content: [
              {
                type: "text",
                text: this.message,
              },
            ],
          },
        ],
      },
      model: this.model,
    };
    if (this.imageUrl) {
      data.thread.messages[0].content.push({
        type: "image_url",
        image_url: {
          url: this.imageUrl,
        },
      });
    }
    if (this.imageFileId) {
      data.thread.messages[0].content.push({
        type: "image_file",
        image_file: {
          file_id: this.imageFileId,
        },
      });
    }
    if (this.filePath) {
      const fileData = new FormData();
      const content = fs.createReadStream(this.filePath.includes("tmp/")
        ? this.filePath
        : `/tmp/${this.filePath}`);
      fileData.append("purpose", "vision");
      fileData.append("file", content);

      const { id } = await this.openai.uploadFile({
        $,
        data: fileData,
        headers: fileData.getHeaders(),
      });

      data.thread.messages[0].content.push({
        type: "image_file",
        image_file: {
          file_id: id,
        },
      });
    }

    let run;
    run = await this.openai.createThreadAndRun({
      $,
      data,
    });
    const runId = run.id;
    const threadId = run.thread_id;

    run = await this.pollRunUntilCompleted(run, threadId, runId, $);

    // get response;
    const { data: messages } = await this.openai.listMessages({
      $,
      threadId,
      params: {
        order: "desc",
      },
    });
    const response = messages[0].content[0].text.value;
    return {
      response,
      messages,
      run,
    };
  },
};

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
OpenAI (ChatGPT)	`openai`	`app`	This component uses the OpenAI (ChatGPT) app.
Message	`message`	`string`	The message or question to send
Image URL	`imageUrl`	`string`	The URL of the image to analyze. Must be a supported image types: jpeg, jpg, png, gif, webp
File ID	`imageFileId`	`string`	Select a value from the drop down menu.
File Path	`filePath`	`string`	The path to a file in the `/tmp` directory. See the documentation on working with files

Analyze Image Content with OpenAI (ChatGPT) API on New Purchase Created from DPD API

Pipedream makes it easy to connect APIs for OpenAI (ChatGPT), DPD and 2,400+ other apps remarkably fast.

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

Developers ♥ Pipedream

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