Create Chatbot with Chat Data API on New Survey Response from Zonka Feedback API

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Trigger workflow on

New Survey Response from the Zonka Feedback API

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Create Chatbot with the Chat Data API

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Getting Started#

This integration creates a workflow with a Zonka Feedback trigger and Chat Data action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Survey Response trigger
1. Connect your Zonka Feedback account
2. Configure timer
3. Select one or more Survey ID
Configure the Create Chatbot action
1. Connect your Chat Data account
2. Configure Chatbot Name
3. Optional- Configure Source Text
4. Optional- Configure URLs to Scrape
5. Optional- Configure Custom Backend
6. Select a Model
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 Survey Response on Zonka Feedback

Description:Emit new event for each survey response. [See docs](https://apidocs.zonkafeedback.com/?version=latest#156e4f44-d620-4d70-87f9-9d24462c23a2)

Version:0.0.2

Key:zonka_feedback-new-survey-response

View on GitHub

Zonka Feedback Overview#

Zonka Feedback API allows for the collection and management of customer feedback data. Through Pipedream, you can automate the process of capturing this feedback, analyze the data for insights, and integrate with other services to act on the information collected. With Pipedream's serverless platform, you can create complex workflows that trigger actions in other apps, based on feedback received, without writing extensive code.

Trigger Code#

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

export default {
  key: "zonka_feedback-new-survey-response",
  name: "New Survey Response",
  description: "Emit new event for each survey response. [See docs](https://apidocs.zonkafeedback.com/?version=latest#156e4f44-d620-4d70-87f9-9d24462c23a2)",
  version: "0.0.2",
  type: "source",
  dedupe: "unique",
  props: {
    zonkaFeedback,
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    surveyIds: {
      type: "string[]",
      propDefinition: [
        zonkaFeedback,
        "surveyId",
      ],
    },
  },
  methods: {
    isRelevant(event) {
      return this.surveyIds.includes(event.surveyId);
    },
    generateMeta(event) {
      const {
        receivedDate: ts,
        id,
        surveyName,
      } = event;
      return {
        id,
        summary: `New response for: ${surveyName}`,
        ts,
      };
    },
    processEvent(event) {
      const meta = this.generateMeta(event);
      this.$emit(event, meta);
    },
  },
  async run() {
    const events = [];
    let page = 1;

    while (true) {
      const responses = await this.zonkaFeedback.getSurveyResponses({
        params: {
          page: page++,
        },
      });
      events.push(...responses);
      if (responses.length < 25) {
        break;
      }
    }

    for (const event of events) {
      this.isRelevant(event) && this.processEvent(event);
    }
  },
};

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
Zonka Feedback	`zonkaFeedback`	`app`	This component uses the Zonka Feedback app.
	`timer`	`$.interface.timer`
Survey ID	`surveyIds`	`string[]`	Select a value from the drop down menu.

Trigger Authentication#

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

To access the APIs you need a valid Auth Token.

Sign into your Zonka Feedback account
Navigate to Company Settings > Developers > API
Select API
Click "Generate Token" to create your auth token

About Zonka Feedback#

Zonka Feedback is a multi-channel feedback system and survey app with actionable insights, real-time reporting and collaborative inbox.

Action#

Create Chatbot on Chat Data

Description:Create a chatbot with the specified properties. [See the documentation](https://www.chat-data.com/api-reference#tag/Chatbot-Operations/operation/chatbotCreate)

Version:0.0.1

Key:chat_data-create-chatbot

View on GitHub

Action Code#

import app from "../../chat_data.app.mjs";

export default {
  key: "chat_data-create-chatbot",
  name: "Create Chatbot",
  description: "Create a chatbot with the specified properties. [See the documentation](https://www.chat-data.com/api-reference#tag/Chatbot-Operations/operation/chatbotCreate)",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    chatbotName: {
      propDefinition: [
        app,
        "chatbotName",
      ],
    },
    sourceText: {
      propDefinition: [
        app,
        "sourceText",
      ],
    },
    urlsToScrape: {
      propDefinition: [
        app,
        "urlsToScrape",
      ],
    },
    customBackend: {
      propDefinition: [
        app,
        "customBackend",
      ],
    },
    model: {
      propDefinition: [
        app,
        "model",
      ],
    },
  },

  async run({ $ }) {
    const response = await this.app.createChatbot({
      $,
      data: {
        chatbotName: this.chatbotName,
        sourceText: this.sourceText,
        urlsToScrape: this.urlsToScrape,
        customBackend: this.customBackend,
        model: this.model,
      },
    });
    $.export("$summary", `Successfully created Chatbot with ID '${response.chatbotId}'`);
    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
Chat Data	`app`	`app`	This component uses the Chat Data app.
Chatbot Name	`chatbotName`	`string`	Name of the Chatbot
Source Text	`sourceText`	`string`	Text data for the chatbot, subject to character limits based on your plan. Relevant only if the model is custom-data-upload
URLs to Scrape	`urlsToScrape`	`string[]`	A list of URLs is for text content extraction by Chat Data, i.e.: `https://www.chat-data.com`. Relevant only if the model is custom-data-upload
Custom Backend	`customBackend`	`string`	The URL of a customized backend for the chatbot
Model	`model`	`string`	Select a value from the drop down menu:`custom-data-uploadmedical-chat-humanmedical-chat-vetcustom-model`