163 lines
4.8 KiB
TypeScript
163 lines
4.8 KiB
TypeScript
import { IReduxState } from '../app/types';
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import { IJitsiConference } from '../base/conference/reducer';
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import { getLocalParticipant } from '../base/participants/functions';
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import { extractFqnFromPath } from '../dynamic-branding/functions.any';
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import { FACE_BOX_EVENT_TYPE, FACE_LANDMARKS_EVENT_TYPE, SEND_IMAGE_INTERVAL_MS } from './constants';
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import logger from './logger';
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import { FaceBox, FaceLandmarks } from './types';
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/**
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* Sends the face landmarks to other participants via the data channel.
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*
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* @param {any} conference - The current conference.
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* @param {FaceLandmarks} faceLandmarks - Face landmarks to be sent.
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* @returns {void}
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*/
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export function sendFaceExpressionToParticipants(conference: any, faceLandmarks: FaceLandmarks): void {
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try {
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conference.sendEndpointMessage('', {
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type: FACE_LANDMARKS_EVENT_TYPE,
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faceLandmarks
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});
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} catch (err) {
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logger.warn('Could not broadcast the face landmarks to the other participants', err);
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}
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}
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/**
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* Sends the face box to all the other participants.
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*
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* @param {any} conference - The current conference.
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* @param {FaceBox} faceBox - Face box to be sent.
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* @returns {void}
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*/
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export function sendFaceBoxToParticipants(
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conference: any,
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faceBox: FaceBox
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): void {
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try {
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conference.sendEndpointMessage('', {
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type: FACE_BOX_EVENT_TYPE,
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faceBox
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});
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} catch (err) {
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logger.warn('Could not broadcast the face box to the other participants', err);
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}
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}
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/**
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* Sends the face landmarks to prosody.
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*
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* @param {any} conference - The current conference.
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* @param {FaceLandmarks} faceLandmarks - Face landmarks to be sent.
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* @returns {void}
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*/
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export function sendFaceExpressionToServer(conference: IJitsiConference, faceLandmarks: FaceLandmarks): void {
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try {
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conference.sendFaceLandmarks(faceLandmarks);
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} catch (err) {
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logger.warn('Could not send the face landmarks to prosody', err);
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}
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}
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/**
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* Sends face landmarks to backend.
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*
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* @param {Object} state - Redux state.
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* @returns {boolean} - True if sent, false otherwise.
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*/
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export async function sendFaceExpressionsWebhook(state: IReduxState) {
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const { webhookProxyUrl: url } = state['features/base/config'];
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const { conference } = state['features/base/conference'];
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const { jwt } = state['features/base/jwt'];
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const { connection } = state['features/base/connection'];
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const jid = connection?.getJid();
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const localParticipant = getLocalParticipant(state);
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const { faceLandmarksBuffer } = state['features/face-landmarks'];
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if (faceLandmarksBuffer.length === 0) {
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return false;
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}
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const headers = {
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...jwt ? { 'Authorization': `Bearer ${jwt}` } : {},
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'Content-Type': 'application/json'
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};
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const reqBody = {
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meetingFqn: extractFqnFromPath(),
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sessionId: conference?.sessionId,
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submitted: Date.now(),
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emotions: faceLandmarksBuffer,
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participantId: localParticipant?.jwtId,
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participantName: localParticipant?.name,
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participantJid: jid
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};
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if (url) {
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try {
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const res = await fetch(`${url}/emotions`, {
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method: 'POST',
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headers,
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body: JSON.stringify(reqBody)
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});
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if (res.ok) {
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return true;
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}
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logger.error('Status error:', res.status);
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} catch (err) {
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logger.error('Could not send request', err);
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}
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}
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return false;
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}
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/**
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* Gets face box for a participant id.
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*
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* @param {string} id - The participant id.
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* @param {IReduxState} state - The redux state.
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* @returns {Object}
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*/
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function getFaceBoxForId(id: string, state: IReduxState) {
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return state['features/face-landmarks'].faceBoxes[id];
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}
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/**
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* Gets the video object position for a participant id.
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*
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* @param {IReduxState} state - The redux state.
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* @param {string} id - The participant id.
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* @returns {string} - CSS object-position in the shape of '{horizontalPercentage}% {verticalPercentage}%'.
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*/
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export function getVideoObjectPosition(state: IReduxState, id?: string) {
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const faceBox = id && getFaceBoxForId(id, state);
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if (faceBox) {
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const { right, width } = faceBox;
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if (right && width) {
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return `${right - (width / 2)}% 50%`;
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}
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}
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return '50% 50%';
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}
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/**
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* Gets the video object position for a participant id.
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*
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* @param {IReduxState} state - The redux state.
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* @returns {number} - Number of milliseconds for doing face detection.
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*/
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export function getDetectionInterval(state: IReduxState) {
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const { faceLandmarks } = state['features/base/config'];
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return Math.max(faceLandmarks?.captureInterval || SEND_IMAGE_INTERVAL_MS);
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}
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