Add Utterance with wit.ai API on New Update in Table from nocodb API

Pipedream makes it easy to connect APIs for wit.ai, nocodb and 2,800+ other apps remarkably fast.

Trigger workflow on

New Update in Table from the nocodb API

Next, do this

Add Utterance with the wit.ai API

No credit card required

▶

Watch us build a workflow

8 min

Watch now ➜

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

Developers ♥ Pipedream

Getting Started#

This integration creates a workflow with a nocodb 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 Update in Table trigger
1. Connect your nocodb account
2. Select a Workspace ID
3. Select a Project ID
4. Select a Table ID
5. Configure Polling interval
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 Update in Table on nocodb

Description:Emit new event for each update in table. [See the documentation](https://data-apis-v2.nocodb.com/#tag/Table-Records/operation/db-data-table-row-list)

Version:0.0.6

Key:nocodb-updated-record

View on GitHub

nocodb Overview#

The NoCodeB (NocoDB) API transforms your databases into a smart Excel sheet, providing a platform for managing your data with the ease of a spreadsheet interface. When combined with Pipedream's capabilities, this API allows you to automate data operations, sync with other databases or apps, and streamline workflows without writing complex code. Using Pipedream, you can trigger events based on changes in your NocoDB, process and manipulate the data, and connect to countless apps to extend functionality, such as sending notifications, updating CRMs, or generating reports.

Trigger Code#

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

export default {
  ...common,
  type: "source",
  name: "New Update in Table",
  key: "nocodb-updated-record",
  description: "Emit new event for each update in table. [See the documentation](https://data-apis-v2.nocodb.com/#tag/Table-Records/operation/db-data-table-row-list)",
  version: "0.0.6",
  dedupe: "unique",
  props: {
    ...common.props,
  },
  methods: {
    ...common.methods,
    getDataToEmit({
      Id, UpdatedAt,
    }) {
      const ts = new Date().getTime();
      return {
        id: `${Id}${UpdatedAt}`,
        summary: `New update (${Id})`,
        ts,
      };
    },
    getTimeField() {
      return "UpdatedAt";
    },
  },
};

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
nocodb	`nocodb`	`app`	This component uses the nocodb app.
Workspace ID	`workspaceId`	`string`	Select a value from the drop down menu.
Project ID	`projectId`	`string`	Select a value from the drop down menu.
Table ID	`tableId`	`string`	Select a value from the drop down menu.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Polling interval	`timer`	`$.interface.timer`	Pipedream will poll the Nocodb API on this schedule

Trigger Authentication#

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

Your API key can be found in API Tokens Management within your database.
Your domain is where your app is hosted, so for https://mytable.com use mytable.com for the domain.

About nocodb#

Free & open source Airtable alternative

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`.