Upload File with Maestra API on New Scheduled Tasks from AWS API

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New Scheduled Tasks from the AWS API

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Upload File with the Maestra API

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Getting Started#

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

Select this integration
Configure the New Scheduled Tasks trigger
1. Connect your AWS account
2. Select a AWS Region
3. Optional- Configure Secret
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
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 Scheduled Tasks on AWS

Description:Creates a Step Function State Machine to publish a message to an SNS topic at a specific timestamp. The SNS topic delivers the message to this Pipedream source, and the source emits it as a new event.

Version:0.4.2

Key:aws-new-scheduled-tasks

View on GitHub

AWS Overview#

The AWS API unlocks endless possibilities for automation with Pipedream. With this powerful combo, you can manage your AWS services and resources, automate deployment workflows, process data, and react to events across your AWS infrastructure. Pipedream offers a serverless platform for creating workflows triggered by various events that can execute AWS SDK functions, making it an efficient tool to integrate, automate, and orchestrate tasks across AWS services and other apps.

Trigger Code#

import base from "../common/scheduled.mjs";
import { toSingleLineString } from "../../common/utils.mjs";

export default {
  ...base,
  key: "aws-new-scheduled-tasks",
  name: "New Scheduled Tasks",
  description: toSingleLineString(`
    Creates a Step Function State Machine to publish a message
    to an SNS topic at a specific timestamp. The SNS topic delivers
    the message to this Pipedream source, and the source emits it as a new event.
  `),
  version: "0.4.2",
  type: "source",
  dedupe: "unique", // Dedupe on SNS message ID
  methods: {
    ...base.methods,
    getStateMachineDefinition() {
      const { PD_COMPONENT: componentId } = process.env;
      const topicArn = this.getTopicArn();
      return {
        Comment: `Task Scheduler for Pipedream component ${componentId}`,
        StartAt: "Wait",
        States: {
          Wait: {
            Comment: "Wait until specified timestamp",
            Type: "Wait",
            TimestampPath: "$.timestamp",
            Next: "SendMessageToSNS",
          },
          SendMessageToSNS: {
            Type: "Task",
            Resource: "arn:aws:states:::sns:publish",
            Parameters: {
              "TopicArn": topicArn,
              "Message.$": "$",
            },
            End: true,
          },
        },
      };
    },
    getStateMachinePermissions() {
      const topicArn = this.getTopicArn();
      const document = {
        Version: "2012-10-17",
        Statement: [
          {
            Effect: "Allow",
            Action: [
              "sns:Publish",
            ],
            Resource: [
              topicArn,
            ],
          },
        ],
      };
      const name = "publish-messages-to-pipedream-sns-topic";
      return {
        document,
        name,
      };
    },
  },
};

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
AWS	`aws`	`app`	This component uses the AWS app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
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.
AWS Region	`region`	`string`	Select a value from the drop down menu.
Secret	`secret`	`string`	Optional but recommended: if you enter a secret here, you must pass this value in the `secret` parameter of each HTTP POST request

Trigger Authentication#

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

Follow the AWS Instructions for creating an IAM user with an associated access and secret key.

As a best practice, attach the minimum set of IAM permissions necessary to perform the specific task in Pipedream. If your workflow only needs to perform a single API call, you should create a user and associate an IAM group / policy with permission to do only that task. You can create as many linked AWS accounts in Pipedream as you'd like.

Enter your access and secret key below.

About AWS#

Amazon Web Services (AWS) offers reliable, scalable, and inexpensive cloud computing services.

Action#

Upload File on Maestra

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

Version:0.0.1

Key:maestra-upload-file

View on GitHub

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.

Label	Prop	Type	Description
Maestra	`app`	`app`	This component uses the Maestra app.
File URL	`fileUrl`	`string`	The URL of the file to upload
File Name	`fileName`	`string`	The name of the file to upload
Media Type	`mediaType`	`string`	The media type of the file, e.g., `video/mp4`
Audio Language	`audioLanguage`	`string`	The language of the audio in the file, e.g., `en-US`
Speaker Count	`speakerCount`	`integer`	The number of speakers in the file, e.g., `2`
Dictionary Key	`dictionaryKey`	`string`	The dictionary key to use for the file, e.g., `default`
Channel ID	`channelId`	`string`	Select a value from the drop down menu.
Folder Path	`folderPath`	`string`	Select a value from the drop down menu.
Operation Type	`operationType`	`string`	Select a value from the drop down menu:`transcriptioncaptionvoiceover`
Skip Transcription	`skipTranscription`	`boolean`	Set to true to skip transcription, false otherwise
Target Languages	`targetLanguages`	`string[]`	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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Pipedream makes it easy to connect APIs for Maestra, AWS and 2,000+ other apps remarkably fast.

Trusted by 800,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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