Get Simulation Results with Amazon Alexa API on Recording Completed (Instant) from Zoom API

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Recording Completed (Instant) from the Zoom API

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Get Simulation Results with the Amazon Alexa API

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Getting Started#

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

Select this integration
Configure the Recording Completed (Instant) trigger
1. Connect your Zoom account
2. Optional- Select one or more Meeting Filter
3. Optional- Configure Include Audio Recordings
4. Optional- Configure Include Chat Transcripts
5. Configure apphook
Configure the Get Simulation Results action
1. Connect your Amazon Alexa account
2. Configure Skill ID
3. Select a Stage
4. Configure Simulation ID
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#

Recording Completed (Instant) on Zoom

Description:Emit new event each time a new recording completes for a meeting or webinar where you're the host

Version:0.1.3

Key:zoom-recording-completed

View on GitHub

Zoom Overview#

The Zoom API lets you tap into a rich set of functionalities to enhance the video conferencing experience within your own app or workflow. With the Zoom API on Pipedream, you can automatically create meetings, manage users, send meeting notifications, and more, orchestrating these actions within a broader automation. This allows for seamless integration with other services, enabling both data collection and action triggers based on Zoom events.

Pipedream workflows allow you to run any Node.js code that connects to the Zoom API. Just create a new workflow, then add prebuilt Zoom actions (create a meeting, send a chat message, etc.) or write your own code. These workflows can be triggered by HTTP requests, timers, email, or on any app-based event (new tweets, a Github PR, Zoom events, etc).

Trigger Code#

import common from "../common/common.mjs";
import constants from "../common/constants.mjs";

export default {
  ...common,
  key: "zoom-recording-completed",
  name: "Recording Completed (Instant)",
  description: "Emit new event each time a new recording completes for a meeting or webinar where you're the host",
  version: "0.1.3",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    meetingIds: {
      type: "integer[]",
      label: "Meeting Filter",
      description: "Optionally filter for events for one or more meetings",
      propDefinition: [
        common.props.app,
        "meetingId",
      ],
    },
    includeAudioRecordings: {
      propDefinition: [
        common.props.app,
        "includeAudioRecordings",
      ],
    },
    includeChatTranscripts: {
      propDefinition: [
        common.props.app,
        "includeChatTranscripts",
      ],
    },
    // eslint-disable-next-line pipedream/props-label, pipedream/props-description
    apphook: {
      type: "$.interface.apphook",
      appProp: "app",
      eventNames() {
        return [
          constants.CUSTOM_EVENT_TYPES.RECORDING_COMPLETED,
        ];
      },
    },
  },
  hooks: {
    async deploy() {
      const { meetings } = await this.app.listRecordings({
        params: {
          from: this.monthAgo(),
          to: new Date().toISOString()
            .slice(0, 10),
          page_size: 25,
        },
      });
      if (!meetings || meetings.length === 0) {
        return;
      }
      for (const meeting of meetings) {
        if (!this.isMeetingRelevant(meeting)) {
          continue;
        }
        for (const file of meeting.recording_files) {
          if (!this.isFileRelevant(file)) {
            continue;
          }
          this.emitEvent(file, meeting);
        }
      }
    },
  },
  methods: {
    ...common.methods,
    isMeetingRelevant(meeting) {
      const {
        id, recording_files,
      } = meeting;

      if (!recording_files || recording_files.length === 0) {
        console.log("No files in recording. Exiting");
        return false;
      }

      if (this.meetingIds && this.meetingIds.length > 0 && !this.meetingIds.includes(id)) {
        console.log("Meeting ID does not match the filter rules.");
        return false;
      }
      return true;
    },
    isFileRelevant(file) {
      return !((file.status !== "completed")
        || (file.file_type === "M4A" && !this.includeAudioRecordings)
        || (file.file_type === "CHAT" && !this.includeChatTranscripts));
    },
    emitEvent(file, meeting, downloadToken = null) {
      this.$emit(
        {
          download_url_with_token: `${file.download_url}?access_token=${downloadToken}`,
          download_token: downloadToken,
          ...file,
          meeting_id_long: meeting.id, // Long ID is necessary for certain API operations
          meeting_topic: meeting.topic,
          host_id: meeting.host_id,
          host_email: meeting.host_email,
        },
        {
          id: file.id,
          summary: `${meeting.topic} — ${file.file_type}`,
          ts: +new Date(file.recording_end),
        },
      );
    },
  },
  async run(event) {
    if (event.event !== constants.CUSTOM_EVENT_TYPES.RECORDING_COMPLETED) {
      console.log("Not a recording.completed event. Exiting");
      return;
    }
    const { payload } = event;
    const {
      object,
      download_token: downloadToken,
    } = payload;
    const { recording_files: recordingFiles } = object;

    if (!this.isMeetingRelevant(object)) {
      return;
    }

    for (const file of recordingFiles) {
      if (!this.isFileRelevant(file)) {
        continue;
      }

      this.emitEvent(file, object, downloadToken);
    }
  },
};

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
Zoom	`app`	`app`	This component uses the Zoom app.
Meeting Filter	`meetingIds`	`integer[]`	Select a value from the drop down menu.
Include Audio Recordings	`includeAudioRecordings`	`boolean`	This source emits video (MP4) recordings only by default. Set this prop to true to include audio recordings
Include Chat Transcripts	`includeChatTranscripts`	`boolean`	This source emits video (MP4) recordings only by default. Set this prop to `true` to include chat transcripts
	`apphook`	`$.interface.apphook`

Trigger Authentication#

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

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

About Zoom#

Zoom is the leader in modern enterprise video communications, with an easy, reliable cloud platform for video and audio conferencing, chat, and webinars.

Action#

Get Simulation Results on Amazon Alexa

Description:Get the results of the specified simulation for an Alexa skill. [See the documentation](https://developer.amazon.com/en-us/docs/alexa/smapi/skill-simulation-api.html)

Version:0.0.1

Key:amazon_alexa-get-simulation-results

View on GitHub

Amazon Alexa Overview#

The Amazon Alexa API connects your Pipedream workflows to Alexa's smart capabilities, enabling you to build voice-driven interactions and extend the functionality of Alexa Skills. Interact with users through their Alexa devices, manage and update Skills, or harness Alexa's smart home control. With Pipedream's serverless platform, you can create complex workflows that respond to Alexa events, trigger actions in other services, or process voice commands for custom outcomes.

Action Code#

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

export default {
  key: "amazon_alexa-get-simulation-results",
  name: "Get Simulation Results",
  description: "Get the results of the specified simulation for an Alexa skill. [See the documentation](https://developer.amazon.com/en-us/docs/alexa/smapi/skill-simulation-api.html)",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    skillId: {
      propDefinition: [
        app,
        "skillId",
      ],
    },
    stage: {
      propDefinition: [
        app,
        "stage",
      ],
    },
    simulationId: {
      propDefinition: [
        app,
        "simulationId",
      ],
    },
  },
  methods: {
    getSimulationResults({
      skillId, stage, simulationId, ...args
    }) {
      return this.app._makeRequest({
        path: `/skills/${skillId}/stages/${stage}/simulations/${simulationId}`,
        ...args,
      });
    },
  },
  async run({ $ }) {
    const {
      getSimulationResults,
      skillId,
      stage,
      simulationId,
    } = this;

    const response = await getSimulationResults({
      $,
      skillId,
      stage,
      simulationId,
    });

    $.export("$summary", `Successfully retrieved simulation results with ID: ${response.id}`);

    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
Amazon Alexa	`app`	`app`	This component uses the Amazon Alexa app.
Skill ID	`skillId`	`string`	The unique identifier for the Alexa skill
Stage	`stage`	`string`	Select a value from the drop down menu:`developmentlive`
Simulation ID	`simulationId`	`string`	The identifier for the simulation

Action Authentication#

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

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

profile:user_idalexa::ask:skills:readwritealexa::ask:skills:test

Get Simulation Results with Amazon Alexa API on Recording Completed (Instant) from Zoom API

Pipedream makes it easy to connect APIs for Amazon Alexa, Zoom and 2,400+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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