Add Utterance with wit.ai API on New Download Counts from npm API

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New Download Counts from the npm 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 npm 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 Download Counts trigger
1. Connect your npm account
2. Configure timer
3. Select a Period
4. Optional- Configure Package
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 Download Counts on npm

Description:Emit new event with the latest count of downloads for an npm package. [See the documentation](https://github.com/npm/registry/blob/main/docs/download-counts.md).

Version:0.1.0

Key:npm-download-counts

View on GitHub

Trigger Code#

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

export default {
  key: "npm-download-counts",
  name: "New Download Counts",
  description: "Emit new event with the latest count of downloads for an npm package. [See the documentation](https://github.com/npm/registry/blob/main/docs/download-counts.md).",
  version: "0.1.0",
  type: "source",
  props: {
    app,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      description: "One day interval time is recommended because NPM only update metrics once a day. [See the documentation](https://github.com/npm/registry/blob/main/docs/download-counts.md#data-source).",
      default: {
        intervalSeconds: 60 * 60 * 24,
      },
    },
    period: {
      type: "string",
      label: "Period",
      description: "Select last-day, last-week or last-month.",
      optional: false,
      default: "last-day",
      options: [
        "last-day",
        "last-week",
        "last-month",
      ],
    },
    packageName: {
      type: "string",
      label: "Package",
      description: "Enter an npm package name. Leave blank for all",
      optional: true,
    },
  },
  methods: {
    getDownloadCounts({
      period, packageName, ...args
    } = {}) {
      const basePath = `/downloads/point/${encodeURIComponent(period)}`;
      return this.app.makeRequest({
        path: packageName
          ? `${basePath}/${encodeURIComponent(packageName)}`
          : basePath,
        ...args,
      });
    },
  },
  async run({ timestamp: ts }) {
    const {
      getDownloadCounts,
      period,
      packageName,
    } = this;

    const response = await getDownloadCounts({
      period,
      packageName,
    });

    this.$emit(response, {
      id: ts,
      summary: `New Download Count ${response.downloads}`,
      ts,
    });
  },
};

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
npm	`app`	`app`	This component uses the npm app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`	One day interval time is recommended because NPM only update metrics once a day. See the documentation
Period	`period`	`string`	Select a value from the drop down menu:`last-daylast-weeklast-month`
Package	`packageName`	`string`	Enter an npm package name. Leave blank for all

Trigger Authentication#

The npm API does not require authentication.

About npm#

Node package manager

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`.