← ChatBot + Formatting integrations

[Text] Convert HTML to text with Formatting API on New Event from ChatBot API

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New Event from the ChatBot API
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[Text] Convert HTML to text with the Formatting API
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Getting Started

This integration creates a workflow with a ChatBot trigger and Formatting 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 Event trigger
    1. Connect your ChatBot account
    2. Optional- Configure Webhook Name
  3. Configure the [Text] Convert HTML to text action
    1. Connect your Formatting account
    2. Configure Input
  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 event received. *Need to be configured in the ChatBot UI flow to emit events*. [See docs here](https://www.chatbot.com/docs/webhooks/)
Version:0.0.1
Key:chatbot-new-event

ChatBot Overview

Leverage the ChatBot API on Pipedream to automate conversations, streamline customer service, and connect chat functionality with various apps for rich, responsive interaction. With this API, you can programmatically send messages, manage chat histories, and implement chatbots that react to user input in real-time. By integrating with Pipedream, these capabilities can be augmented with thousands of apps, enabling seamless data flow and complex automations.

Trigger Code

import chatbot from "../../chatbot.app.mjs";
import { v4 as uuid } from "uuid";

export default {
  key: "chatbot-new-event",
  name: "New Event",
  description: "Emit new event for event received. *Need to be configured in the ChatBot UI flow to emit events*. [See docs here](https://www.chatbot.com/docs/webhooks/)",
  version: "0.0.1",
  type: "source",
  props: {
    chatbot,
    db: "$.service.db",
    http: {
      type: "$.interface.http",
      customResponse: true,
    },
    name: {
      label: "Webhook Name",
      description: "The name of the webhook, this will be used to select in the ChatBot UI flow",
      type: "string",
      optional: true,
    },
  },
  methods: {
    async _respondWebHook(http, event) {
      http.respond({
        status: 200,
        body: event.query.challenge,
      });
    },
    _getWebhookId() {
      return this.db.get("webhookId");
    },
    _setWebhookId(webhookId) {
      this.db.set("webhookId", webhookId);
    },
  },
  hooks: {
    async activate() {
      const validationToken = uuid();

      const response = await this.chatbot.createWebhook({
        auth: {},
        headers: [],
        name: this.name ?? `Webhook ${validationToken}`,
        token: validationToken,
        url: this.http.endpoint,
      });

      this._setWebhookId(response.id);
    },
    async deactivate() {
      const webhookId = this._getWebhookId();
      await this.chatbot.deleteWebhook(webhookId);
    },
  },
  async run(event) {
    await this._respondWebHook(this.http, event);

    const {
      body,
      headers,
    } = event;

    this.$emit(body, {
      id: headers["x-request-id"],
      summary: `New event ${headers["x-request-id"]} received`,
      ts: new Date(),
    });
  },
};

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
ChatBotchatbotappThis component uses the ChatBot 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.
Webhook Namenamestring

The name of the webhook, this will be used to select in the ChatBot UI flow

Trigger Authentication

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

To retrieve your API keys,

  • Navigate to your ChatBot account and sign in
  • Go to “Settings” > “Developers” > “API keys”

Note: The client access token should be used to invoke /query endpoint. For other API endpoints use the Developer access token

About ChatBot

ChatBot is an all-in-one platform to create, deploy, and track chatbots across channels.

Action

Description:Convert valid HTML to text
Version:0.0.4
Key:formatting-convert-html-to-text

Action Code

import { defineAction } from "@pipedream/types";
import { convert } from "html-to-text";
import app from "../../app/formatting.app.mjs";
export default defineAction({
    name: "[Text] Convert HTML to text",
    description: "Convert valid HTML to text",
    key: "formatting-convert-html-to-text",
    version: "0.0.4",
    type: "action",
    props: {
        app,
        input: {
            label: "Input",
            description: "HTML string to be converted to text",
            type: "string",
        },
    },
    async run({ $ }) {
        const { input } = this;
        const result = convert(input);
        $.export("$summary", "Successfully converted to text");
        return result;
    },
});

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
FormattingappappThis component uses the Formatting app.
Inputinputstring

HTML string to be converted to text

Action Authentication

The Formatting API does not require authentication.

About Formatting

Pre-built actions to make formatting and manipulating data within your workflows easier.

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