Score Scripted Recording with Speechace API on New Submission (Instant) from Jotform API

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New Submission (Instant) from the Jotform API

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Score Scripted Recording with the Speechace API

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Getting Started#

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

Select this integration
Configure the New Submission (Instant) trigger
1. Connect your Jotform account
2. Optional- Select a Team
3. Select a Form
Configure the Score Scripted Recording action
1. Connect your Speechace account
2. Configure File Path or URL
3. Configure Text
4. Optional- Configure Question Info
5. Optional- Select a Dialect
6. Optional- Configure User ID
7. Optional- Configure syncDir
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 Submission (Instant) on Jotform

Description:Emit new event when a form is submitted

Version:0.1.6

Key:jotform-new-submission

View on GitHub

Jotform Overview#

Jotform’s API is a powerhouse for automating form and survey data management. With Pipedream, harness this API to trigger workflows from new form submissions, manipulate and analyze your form data, and sync it across various platforms. Think streamlined data entry to CRMs, instant notifications for new leads or feedback, and timely data backups to cloud storage.

Trigger Code#

import jotform from "../../jotform.app.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  key: "jotform-new-submission",
  name: "New Submission (Instant)",
  description: "Emit new event when a form is submitted",
  version: "0.1.6",
  type: "source",
  dedupe: "unique",
  props: {
    jotform,
    http: "$.interface.http",
    teamId: {
      propDefinition: [
        jotform,
        "teamId",
      ],
    },
    formId: {
      propDefinition: [
        jotform,
        "formId",
        (c) => ({
          teamId: c.teamId,
          excludeDeleted: true,
        }),
      ],
    },
  },
  hooks: {
    async deploy() {
      const { content: form } = await this.jotform.getForm(this.formId, this.teamId);
      const { content: submissions } = await this.jotform.getFormSubmissions({
        formId: this.formId,
        teamId: this.teamId,
        params: {
          limit: 25,
          orderby: "created_at",
        },
      });
      for (let submission of submissions.reverse()) {
        const meta = {
          id: submission.id,
          summary: form.title,
          ts: Date.now(),
        };
        this.$emit(submission, meta);
      }
    },
    async activate() {
      return (await this.jotform.createHook({
        endpoint: this.http.endpoint,
        formId: this.formId,
        teamId: this.teamId,
      }));
    },
    async deactivate() {
      return (await this.jotform.deleteHook({
        endpoint: this.http.endpoint,
        formId: this.formId,
        teamId: this.teamId,
      }));
    },
  },
  async run(event) {
    const { body } = event;
    let { content: submission } = await this.jotform.getFormSubmission({
      submissionId: body.submissionID,
      teamId: this.teamId,
    });

    // insert answers from the webhook event
    const rawRequest = JSON.parse(body.rawRequest);
    for (const key of Object.keys(rawRequest)) {
      const regex = /^q(\d+)_/;
      const match = key.match(regex);
      if (match && match[1]) {
        submission.answers[match[1]].answer = rawRequest[key];
      }
    }

    this.$emit(submission, {
      summary: body.formTitle || JSON.stringify(body),
      id: body.submissionID,
      ts: Date.now(),
    });
  },
  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.

Label	Prop	Type	Description
Jotform	`jotform`	`app`	This component uses the Jotform app.
N/A	`http`	`$.interface.http`	This component uses `$.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.
Team	`teamId`	`string`	Select a value from the drop down menu.
Form	`formId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

About Jotform#

Jotform enables you to create online forms, collect responses directly in your email, and create fillable PDF forms.

Action#

Score Scripted Recording on Speechace

Description:Scores a scripted recording based on fluency and pronunciation. [See the documentation](https://docs.speechace.com/#c34b11dd-8172-441a-bc27-223339d48d8e)

Version:0.0.4

Key:speechace-score-scripted-recording

View on GitHub

Speechace Overview#

The Speechace API offers capabilities for detailed speech analysis, particularly useful for language learning applications. With this API, you can assess users' pronunciation and fluency in English by analyzing audio inputs. In Pipedream, you can leverage this API to craft workflows that trigger on various events, process audio data, and perform actions based on the analysis—such as storing results, providing feedback, or integrating with other services for enhanced functionality.

Action Code#

import speechace from "../../speechace.app.mjs";
import FormData from "form-data";
import {
  getFileStreamAndMetadata, ConfigurationError,
} from "@pipedream/platform";

export default {
  key: "speechace-score-scripted-recording",
  name: "Score Scripted Recording",
  description: "Scores a scripted recording based on fluency and pronunciation. [See the documentation](https://docs.speechace.com/#c34b11dd-8172-441a-bc27-223339d48d8e)",
  version: "0.0.4",
  annotations: {
    destructiveHint: false,
    openWorldHint: true,
    readOnlyHint: false,
  },
  type: "action",
  props: {
    speechace,
    filePath: {
      propDefinition: [
        speechace,
        "filePath",
      ],
    },
    text: {
      type: "string",
      label: "Text",
      description: "A word, phrase, or sentence to score",
    },
    questionInfo: {
      type: "string",
      label: "Question Info",
      description: "A unique identifier for the activity or question this user audio is answering",
      optional: true,
    },
    dialect: {
      propDefinition: [
        speechace,
        "dialect",
      ],
    },
    userId: {
      propDefinition: [
        speechace,
        "userId",
      ],
    },
    syncDir: {
      type: "dir",
      accessMode: "read",
      sync: true,
      optional: true,
    },
  },
  async run({ $ }) {
    const data = new FormData();
    const {
      stream, metadata,
    } = await getFileStreamAndMetadata(this.filePath);
    data.append("user_audio_file", stream, {
      contentType: metadata.contentType,
      knownLength: metadata.size,
      filename: metadata.name,
    });
    if (this.text) {
      data.append("text", this.text);
    }
    if (this.questionInfo) {
      data.append("question_info", this.questionInfo);
    }

    const response = await this.speechace.scoreScript({
      $,
      params: {
        dialect: this.dialect,
        user_id: this.userId,
      },
      data,
      headers: data.getHeaders(),
    });
    if (response.status === "error") {
      throw new ConfigurationError(response.detail_message);
    }
    $.export("$summary", `Scored scripted recording for audio file: ${this.filePath}`);
    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
Speechace	`speechace`	`app`	This component uses the Speechace app.
File Path or URL	`filePath`	`string`	Provide either a file URL or a path to a file in the /tmp directory (for example, /tmp/myFile.pdf).
Text	`text`	`string`	A word, phrase, or sentence to score
Question Info	`questionInfo`	`string`	A unique identifier for the activity or question this user audio is answering
Dialect	`dialect`	`string`	Select a value from the drop down menu:`{ "label": "US English", "value": "en-us" }{ "label": "UK English", "value": "en-gb" }`
User ID	`userId`	`string`	A unique anonymized identifier for the end-user who spoke the audio
syncDir	`syncDir`	`dir`

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Popular Triggers#

New Submission (Instant) from the Jotform API

Emit new event when a form is submitted

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Popular Actions#

Get Form Submissions with the Jotform API

Gets a list of form responses See the docs here

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Get Monthly User Usage with the Jotform API

Gets number of form submissions received this month. Also, get number of SSL form submissions, payment form submissions and upload space used by user See the docs here

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Get User Submissions with the Jotform API

Gets a list of all submissions for all forms on the account See the docs here

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Score Scripted Recording with the Speechace API

Scores a scripted recording based on fluency and pronunciation. See the documentation

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Transcribe and Score Recording with the Speechace API

Transcribes and scores a provided speech recording. See the documentation

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