← Notion + wit.ai integrations

Add Utterance with wit.ai API on New Page in Database from Notion API

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New Page in Database from the Notion 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 Notion trigger and wit.ai 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 Page in Database trigger
    1. Connect your Notion account
    2. Configure timer
    3. Select a Database ID
  3. Configure the Add Utterance action
    1. Connect your wit.ai account
    2. Configure Text
    3. Optional- Configure Out of Scope
  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 when a page is created in the selected database. [See the documentation](https://developers.notion.com/reference/page)
Version:0.0.13
Key:notion-new-page

Notion Overview

Notion's API allows for the creation, reading, updating, and deleting of pages, databases, and their contents within Notion. Using Pipedream's platform, you can build workflows that connect Notion with various other services to automate tasks such as content management, task tracking, and data synchronization. With Pipedream's serverless execution, you can trigger these workflows on a schedule, or by external events from other services, without managing any infrastructure.

Trigger Code

import notion from "../../notion.app.mjs";
import sampleEmit from "./test-event.mjs";
import base from "../common/base.mjs";
import constants from "../common/constants.mjs";

export default {
  ...base,
  key: "notion-new-page",
  name: "New Page in Database",
  description: "Emit new event when a page is created in the selected database. [See the documentation](https://developers.notion.com/reference/page)",
  version: "0.0.13",
  type: "source",
  props: {
    ...base.props,
    databaseId: {
      propDefinition: [
        notion,
        "databaseId",
      ],
    },
  },
  hooks: {
    ...base.hooks,
    async deploy() {
      await this.processEvents(25);
    },
  },
  methods: {
    ...base.methods,
    async processEvents(max) {
      const pages = [];
      const lastCreatedTimestamp = this.getLastCreatedTimestamp();
      const lastCreatedTimestampDate = new Date(lastCreatedTimestamp);
      const lastCreatedTimestampISO = lastCreatedTimestampDate.toISOString();

      // Add a filter so that we only receive pages that have been created since the saved time.
      const params = {
        ...this.lastCreatedSortParam(),
        filter: {
          timestamp: "created_time",
          created_time: {
            after: lastCreatedTimestampISO,
          },
        },
      };

      // Get pages in created order descending until the first page edited after
      // lastCreatedTimestamp, then reverse list of pages and emit
      const pagesStream = this.notion.getPages(this.databaseId, params);

      for await (const page of pagesStream) {
        if (!this.isResultNew(page.created_time, lastCreatedTimestamp)
          || (max && pages.length >= max)) {
          break;
        }
        pages.push(page);
      }

      pages.reverse().forEach((page) => {
        const meta = this.generateMeta(
          page,
          constants.types.PAGE,
          constants.timestamps.CREATED_TIME,
          constants.summaries.PAGE_ADDED,
        );
        this.$emit(page, meta);
      });

      const lastCreatedTime = pages[pages.length - 1]?.created_time;
      if (lastCreatedTime) {
        this.setLastCreatedTimestamp(Date.parse(lastCreatedTime));
      }
    },
  },
  async run() {
    await this.processEvents(100);
  },
  sampleEmit,
};

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
NotionnotionappThis component uses the Notion app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
timer$.interface.timer
Database IDdatabaseIdstringSelect a value from the drop down menu.

Trigger Authentication

Notion uses OAuth authentication. When you connect your Notion account, Pipedream will open a popup window where you can sign into Notion and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Notion API.

Pipedream requests the following authorization scopes when you connect your account:

About Notion

Notion is a new tool that blends your everyday work apps into one. It's the all-in-one workspace for you and your team.

Action

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

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.

LabelPropTypeDescription
wit.aiappappThis component uses the wit.ai app.
Texttextstring

The text (sentence) you want your app to understand.

Out of ScopeoutOfScopeboolean

To train your app to recognize utterances that it should not handle set this to true.

Action Authentication

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

About wit.ai

Natural Language for Developers

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