Add Utterance with wit.ai API on New Stay Created from WuBook RateChecker API

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Trigger workflow on

New Stay Created from the WuBook RateChecker API

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Add Utterance with the wit.ai API

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Getting Started#

This integration creates a workflow with a WuBook RateChecker trigger and wit.ai action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Stay Created trigger
1. Connect your WuBook RateChecker account
2. Configure timer
3. Select a Competitor
Configure the Add Utterance action
1. Connect your wit.ai account
2. Configure Text
3. Optional- Configure Out of Scope
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 Stay Created on WuBook RateChecker

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

Version:0.0.1

Key:wubook_ratechecker-new-stay-created

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-stay-created",
  name: "New Stay Created",
  description: "Emit new event when a new stay is created. [See the docs](https://wubook.net/wrpeeker/ratechecker/api_examples)",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    competitorId: {
      propDefinition: [
        common.props.wubook,
        "competitorId",
      ],
    },
  },
  methods: {
    ...common.methods,
    async getResources() {
      return this.wubook.getStays({
        params: {
          competitor_id: this.competitorId,
        },
      });
    },
    getIdField() {
      return "stay_id";
    },
    generateMeta(stay) {
      return {
        id: stay.stay_id,
        summary: `Stay ${stay.stay}`,
        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`
Competitor	`competitorId`	`string`	Select a value from the drop down menu.

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#

Add Utterance on wit.ai

Description:Add a sample utterance to train your app with an intent. [See the documentation](https://wit.ai/docs/http/20240304#post__utterances).

Version:0.0.1

Key:wit_ai-add-utterance

View on GitHub

wit.ai Overview#

Wit.ai API enables your apps to process natural language and understand human commands contextually. With it, you can build conversational interfaces, decipher intent from text or voice inputs, and train your model to improve recognition. Pipedream provides a seamless platform to trigger workflows using this API, allowing the automation of tasks based on language cues. It's perfect for crafting custom bots, enhancing customer service, or streamlining internal operations by interpreting human requests and taking action accordingly.

Action Code#

import app from "../../wit_ai.app.mjs";
import utils from "../../common/utils.mjs";
import constants from "../../common/constants.mjs";

export default {
  key: "wit_ai-add-utterance",
  name: "Add Utterance",
  description: "Add a sample utterance to train your app with an intent. [See the documentation](https://wit.ai/docs/http/20240304#post__utterances).",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    text: {
      type: "string",
      label: "Text",
      description: "The text (sentence) you want your app to understand.",
    },
    outOfScope: {
      type: "boolean",
      label: "Out of Scope",
      description: "To train your app to recognize utterances that it should not handle set this to `true`.",
      optional: true,
      default: false,
      reloadProps: true,
    },
  },
  async additionalProps() {
    if (this.outOfScope === true) {
      return {};
    }

    const data = await this.app.listIntents();
    const intents = data.map(({ name }) => name);
    const intentOptions = intents.concat(Object.values(constants.BUILTIN_INTENTS));

    return {
      intent: {
        type: "string",
        label: "Intent",
        description: "The name of the intent you wish to create or train.",
        options: intentOptions,
      },
      entities: {
        type: "string[]",
        label: "Entities",
        description: "The list of entities appearing in this sentence, that you want your app to extract once it is trained. Each entity must be a JSON string with the following properties:\n- `entity` (string, required): The entity name, including the role (e.g., `temperature:temperature` or `wit$temperature:temperature`).\n- `start` (integer, required): The starting index within the text.\n- `end` (integer, required): The ending index within the text.\n- `body` (string, required): The span of the text for the entity.\n- `entities` (array, required): List of entities found within the composite entity.\n\nExample: `{\"entity\":\"wit$temperature:temperature\",\"start\":19,\"end\":26,\"body\":\"34 degrees\",\"entities\":[]}`",
        optional: true,
      },
      traits: {
        type: "string[]",
        label: "Traits",
        description: "The list of traits that are relevant for the utterance. Each trait must be a JSON string with the following properties:\n- `trait` (string, required): The trait name. This can be a trait you created, or a built-in one. i.e `faq` or `wit$sentiment`.\n- `value` (string, required): The value for the trait, e.g. `positive`.\n\nExample: `{\"trait\":\"wit$sentiment\",\"value\":\"neutral\"}`",
        optional: true,
      },
    };
  },
  methods: {
    addUtterance(args = {}) {
      return this.app.post({
        path: "/utterances",
        ...args,
      });
    },
  },
  async run({ $ }) {
    const {
      addUtterance,
      text,
      intent,
      entities,
      traits,
    } = this;

    const response = await addUtterance({
      $,
      data: [
        {
          text,
          intent,
          entities: utils.parseArray(entities),
          traits: utils.parseArray(traits),
        },
      ],
    });

    $.export("$summary", "Successfully added an utterance to your app.");
    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.

Label	Prop	Type	Description
wit.ai	`app`	`app`	This component uses the wit.ai app.
Text	`text`	`string`	The text (sentence) you want your app to understand.
Out of Scope	`outOfScope`	`boolean`	To train your app to recognize utterances that it should not handle set this to `true`.