← Slack + Maestra integrations

Upload File with Maestra API on New Reaction Added (Instant) from Slack API

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New Reaction Added (Instant) from the Slack API
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Upload File with the Maestra API
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Getting Started

This integration creates a workflow with a Slack 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 Reaction Added (Instant) trigger
    1. Connect your Slack account
    2. Optional- Select one or more Channels
    3. Configure slackApphook
    4. Optional- Configure Ignore Bots
    5. Optional- Select one or more Icon (emoji)
    6. Optional- Configure Include User Data
  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 member has added an emoji reaction to a message
Version:1.1.23
Key:slack-new-reaction-added

Slack Overview

The Pipedream Slack app enables you to build event-driven workflows that interact with the Slack API. Once you authorize the Pipedream app's access to your workspace, you can use Pipedream workflows to perform common Slack actions or write your own code against the Slack API.

The Pipedream Slack app is not a typical app. You don't interact with it directly as a bot, and it doesn't add custom functionality to your workspace out of the box. It makes it easier to automate anything you'd typically use the Slack API for, using Pipedream workflows.

  • Automate posting updates to your team channels
  • Create a bot to answer common questions
  • Integrate with your existing tools and services
  • And much more!

Trigger Code

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

export default {
  ...common,
  key: "slack-new-reaction-added",
  name: "New Reaction Added (Instant)",
  version: "1.1.23",
  description: "Emit new event when a member has added an emoji reaction to a message",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    conversations: {
      propDefinition: [
        common.props.slack,
        "conversation",
      ],
      type: "string[]",
      label: "Channels",
      description: "Select one or more channels to monitor for new messages.",
      optional: true,
    },
    // eslint-disable-next-line pipedream/props-description,pipedream/props-label
    slackApphook: {
      type: "$.interface.apphook",
      appProp: "slack",
      async eventNames() {
        if (this.conversations?.length) {
          const conversations = [];
          for (const conversation of this.conversations) {
            conversations.push(`reaction_added:${conversation}`);
          }
          return conversations;
        }

        return [
          "reaction_added",
        ];
      },
    },
    ignoreBot: {
      propDefinition: [
        common.props.slack,
        "ignoreBot",
      ],
    },
    iconEmoji: {
      propDefinition: [
        common.props.slack,
        "icon_emoji",
      ],
      description: "Select one or more emojis to use as a filter. E.g. `fire, email`",
      type: "string[]",
      optional: true,
    },
    includeUserData: {
      label: "Include User Data",
      description: "Include user object in the response. Default `false`",
      type: "boolean",
      optional: true,
      default: false,
    },
  },
  methods: {
    ...common.methods,
    getSummary() {
      return "New reaction added";
    },
    async processEvent(event) {
      let iconEmojiParsed = [];

      try {
        iconEmojiParsed = typeof this.iconEmoji === "string" ?
          JSON.parse(this.iconEmoji) :
          this.iconEmoji;
      } catch (error) {
        iconEmojiParsed = this.iconEmoji.replace(/\s+/g, "").split(",");
      }

      if (
        ((this.ignoreBot) && (event.subtype == "bot_message" || event.bot_id)) ||
        (iconEmojiParsed?.length > 0 && !iconEmojiParsed.includes(event.reaction))
      ) {
        return;
      }

      if (this.includeUserData) {
        const userResponse = await this.slack.usersInfo({
          user: event.user,
        });
        const itemUserResponse = await this.slack.usersInfo({
          user: event.user,
        });

        event.userInfo = userResponse.user;
        event.itemUserInfo = itemUserResponse.user;
      }

      event.message = await this.getMessage({
        channel: event.item.channel,
        event_ts: event.item.ts,
      });

      return event;
    },
  },
  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
SlackslackappThis component uses the Slack app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
Channelsconversationsstring[]Select a value from the drop down menu.
slackApphook$.interface.apphook
Ignore BotsignoreBotboolean

Ignore messages from bots

Icon (emoji)iconEmojistring[]Select a value from the drop down menu.
Include User DataincludeUserDataboolean

Include user object in the response. Default false

Trigger Authentication

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

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

channels:historychannels:readchannels:writeemoji:readgroups:historygroups:readgroups:writeim:historyim:readim:writelinks:readlinks:writempim:historympim:readmpim:writereactions:readreactions:writereminders:readreminders:writestars:readteam:readusergroups:readusergroups:writeusers:readusers:read.emailusers:writechat:write:botchat:write:userfiles:write:usercommandsusers.profile:writeusers.profile:read

About Slack

Slack is a channel-based messaging platform. With Slack, people can work together more effectively, connect all their software tools and services, and find the information they need to do their best work — all within a secure, enterprise-grade environment.

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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