Summarize Text with OpenAI (ChatGPT) API on New Competitor Added from WuBook RateChecker API

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New Competitor Added from the WuBook RateChecker API

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Summarize Text with the OpenAI (ChatGPT) API

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Getting Started#

This integration creates a workflow with a WuBook RateChecker 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 Competitor Added trigger
1. Connect your WuBook RateChecker account
2. Configure timer
Configure the Summarize Text action
1. Connect your OpenAI (ChatGPT) account
2. Optional- Configure Max Tokens
3. Optional- Configure Temperature
4. Optional- Configure Top P
5. Optional- Configure N
6. Optional- Configure Stop
7. Optional- Configure Presence Penalty
8. Optional- Configure Frequency Penalty
9. Optional- Configure User
10. Configure Text
11. Optional- Select a Summary Length
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 Competitor Added on WuBook RateChecker

Description:Emit new event when a new competitor is added. [See the docs](https://wubook.net/wrpeeker/ratechecker/api_examples)

Version:0.0.1

Key:wubook_ratechecker-new-competitor-added

View on GitHub

WuBook RateChecker Overview#

The WuBook RateChecker API allows users to retrieve detailed pricing information and rates for various hotels. This powerful tool can be integrated into Pipedream workflows to create automated processes for monitoring hotel prices, analyzing market trends, or updating pricing strategies. With Pipedream's capabilities, you can trigger actions based on the data fetched from WuBook, connect to various apps, and build complex workflows without managing servers or infrastructure.

Trigger Code#

import common from "../common/base.mjs";

export default {
  ...common,
  key: "wubook_ratechecker-new-competitor-added",
  name: "New Competitor Added",
  description: "Emit new event when a new competitor is added. [See the docs](https://wubook.net/wrpeeker/ratechecker/api_examples)",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    async getResources() {
      return this.wubook.getMonitoredCompetitors();
    },
    getIdField() {
      return "competitor_id";
    },
    generateMeta(competitor) {
      return {
        id: competitor.competitor_id,
        summary: competitor.name,
        ts: Date.now(),
      };
    },
  },
};

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
WuBook RateChecker	`wubook`	`app`	This component uses the WuBook RateChecker app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`

Trigger Authentication#

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

To retrieve your API token,

Navigate to your WuBook account and sign in
Go to “Rate Checker” > “API”

About WuBook RateChecker#

Compare prices and keep on eye on the availability of your competitor hotels.

Action#

Summarize Text on OpenAI (ChatGPT)

Description:Summarizes text using the Chat API

Version:0.0.10

Key:openai-summarize

View on GitHub

OpenAI (ChatGPT) Overview#

The OpenAI (ChatGPT) API offers a powerful gateway to natural language processing capabilities, enabling you to automate conversation-based tasks or generate text-based content programmatically. When paired with Pipedream's no-code platform, you can craft potent serverless workflows that trigger AI-generated text in response to various events, parse and analyze incoming data, or even add conversational AI to your apps and services.

Action Code#

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

export default {
  ...common,
  name: "Summarize Text",
  version: "0.0.10",
  key: "openai-summarize",
  description: "Summarizes text using the Chat API",
  type: "action",
  props: {
    ...common.props,
    text: {
      label: "Text",
      description: "The text to summarize",
      type: "string",
    },
    length: {
      label: "Summary Length",
      description: "The length of the summary",
      type: "string",
      optional: true,
      options: [
        "word",
        "sentence",
        "paragraph",
        "page",
      ],
    },
  },
  methods: {
    ...common.methods,
    systemInstructions() {
      return "Your goal is to summarize the text the user provides. Please follow the length guidelines presented in the prompt.";
    },
    maxLength() {
      return this.length
        ? ` in one ${this.length}`
        : "";
    },
    userMessage() {
      return `Summarize the following text${this.maxLength()}: ${this.text}`;
    },
    formatOutput({
      messages, response,
    }) {
      if (!messages || !response) {
        throw new Error("Invalid API output, please reach out to https://pipedream.com/support");
      }
      return {
        summary: response.choices?.[0]?.message?.content,
        messages,
      };
    },
  },
};

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.
Max Tokens	`maxTokens`	`integer`	The maximum number of tokens to generate in the completion.
Temperature	`temperature`	`string`	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 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. We generally recommend altering this or `temperature` but not both.
N	`n`	`integer`	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 OpenAI to monitor and detect abuse. Learn more here.
Text	`text`	`string`	The text to summarize
Summary Length	`length`	`string`	Select a value from the drop down menu:`wordsentenceparagraphpage`

Summarize Text with OpenAI (ChatGPT) API on New Competitor Added from WuBook RateChecker API

Pipedream makes it easy to connect APIs for OpenAI (ChatGPT), WuBook RateChecker and 2,000+ other apps remarkably fast.

Trusted by 800,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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