← Jotform + Maestra integrations

Upload File with Maestra API on New Submission (Instant) from Jotform API

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New Submission (Instant) from the Jotform API
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Upload File with the Maestra API
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Getting Started

This integration creates a workflow with a Jotform trigger and Maestra 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 Submission (Instant) trigger
    1. Connect your Jotform account
    2. Optional- Select a Team
    3. Select a Form
  3. Configure the Upload File action
    1. Connect your Maestra account
    2. Configure File URL
    3. Configure File Name
    4. Configure Media Type
    5. Configure Audio Language
    6. Optional- Configure Speaker Count
    7. Optional- Configure Dictionary Key
    8. Optional- Select a Channel ID
    9. Optional- Select a Folder Path
    10. Optional- Select a Operation Type
    11. Optional- Configure Skip Transcription
    12. Optional- Select one or more Target Languages
  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 form is submitted
Version:0.1.5
Key:jotform-new-submission

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: "0.1.5",
  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.
LabelPropTypeDescription
JotformjotformappThis component uses the Jotform app.
N/Ahttp$.interface.httpThis 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.
TeamteamIdstringSelect a value from the drop down menu.
FormformIdstringSelect 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

Description:Initiates a new file upload to Maestra. [See the documentation](https://maestra.ai/docs#uploadFile)
Version:0.0.1
Key:maestra-upload-file

Maestra Overview

The Maestra API lets you automate the transcription, captioning, and voiceover of videos and audios, crucial for creating accessible and localized content. With Pipedream, you can build workflows that trigger on various events to streamline media processing, integrate with other services, and manage content efficiently. Pipedream's serverless platform offers a code-free way to connect the Maestra API with hundreds of other apps, enabling you to create custom automation without the heavy lifting.

Action Code

import app from "../../maestra.app.mjs";
import utils from "../../common/utils.mjs";

export default {
  key: "maestra-upload-file",
  name: "Upload File",
  description: "Initiates a new file upload to Maestra. [See the documentation](https://maestra.ai/docs#uploadFile)",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    fileUrl: {
      propDefinition: [
        app,
        "fileUrl",
      ],
    },
    fileName: {
      type: "string",
      label: "File Name",
      description: "The name of the file to upload",
    },
    mediaType: {
      type: "string",
      label: "Media Type",
      description: "The media type of the file, e.g., `video/mp4`",
      default: "video/mp4",
    },
    audioLanguage: {
      type: "string",
      label: "Audio Language",
      description: "The language of the audio in the file, e.g., `en-US`",
      default: "en-US",
    },
    speakerCount: {
      type: "integer",
      label: "Speaker Count",
      description: "The number of speakers in the file, e.g., `2`",
      optional: true,
    },
    dictionaryKey: {
      type: "string",
      label: "Dictionary Key",
      description: "The dictionary key to use for the file, e.g., `default`",
      optional: true,
    },
    channelId: {
      propDefinition: [
        app,
        "channelId",
      ],
    },
    folderPath: {
      propDefinition: [
        app,
        "folderPath",
      ],
    },
    operationType: {
      optional: true,
      propDefinition: [
        app,
        "operationType",
      ],
    },
    skipTranscription: {
      type: "boolean",
      label: "Skip Transcription",
      description: "Set to true to skip transcription, false otherwise",
      optional: true,
    },
    targetLanguages: {
      optional: true,
      propDefinition: [
        app,
        "targetLanguages",
      ],
    },
  },
  methods: {
    uploadFile(args = {}) {
      return this.app.post({
        path: "/uploadFile",
        ...args,
      });
    },
  },
  async run({ $ }) {
    const {
      // eslint-disable-next-line no-unused-vars
      app,
      uploadFile,
      targetLanguages,
      ...data
    } = this;

    const response = await uploadFile({
      $,
      data: {
        ...data,
        targetLanguages: utils.arrayToObj(targetLanguages),
      },
    });

    $.export("$summary", `Successfully uploaded file with ID \`${response.fileId}\``);

    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
MaestraappappThis component uses the Maestra app.
File URLfileUrlstring

The URL of the file to upload

File NamefileNamestring

The name of the file to upload

Media TypemediaTypestring

The media type of the file, e.g., video/mp4

Audio LanguageaudioLanguagestring

The language of the audio in the file, e.g., en-US

Speaker CountspeakerCountinteger

The number of speakers in the file, e.g., 2

Dictionary KeydictionaryKeystring

The dictionary key to use for the file, e.g., default

Channel IDchannelIdstringSelect a value from the drop down menu.
Folder PathfolderPathstringSelect a value from the drop down menu.
Operation TypeoperationTypestringSelect a value from the drop down menu:transcriptioncaptionvoiceover
Skip TranscriptionskipTranscriptionboolean

Set to true to skip transcription, false otherwise

Target LanguagestargetLanguagesstring[]Select a value from the drop down menu:afrikaansalbanianamharicarabicarmenianazerbaijanibasquebelarusianbengalibosnianbulgarianburmesecatalanchinesechinesetcroatianczechdanishdutchenglishestonianfinnishfrenchfrenchcburmesegeorgiangermangreekhaitian creolehebrewhindihungarianicelandicindonesianitalianjapanesekazakhkhmerkoreankurdishkyrgyzlatinlatvianlithuanianluxembourgishmacedonianmalaymaltesenepalinorwegianpersianpolishportuguesepunjabiromanianrussiansamoanserbianslovaksloveniansomalispanishswedishthaiturkishukrainianurduuzbekvietnamesewelsh

Action Authentication

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

About Maestra

Automatic, fast, accurate transcription and captioning for journalists, students, podcasters. Audio to text in minutes.

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