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{ RemoteLogConfig } from '@luxottica/vm-remotelog';\nimport { name, version } from '../../package.json';\nimport { AuthenticationOptions } from '../interfaces/InitializeParameters';\n\nlet access_token: string;\nlet refresh_token: string;\n\nconst logger = RemoteLogConfig.getInstance().getLoggerInfo(name, version, 'RequestHelper');\n\nconst getAuthData = (): AuthenticationOptions => {\n  return {\n    accessToken: access_token,\n    refreshToken: refresh_token,\n  };\n};\n\nconst setAuthData = (authData: Partial<AuthenticationOptions>) => {\n  if (!!authData?.accessToken && !! authData?.refreshToken) {\n    access_token = authData.accessToken;\n    refresh_token = authData.refreshToken;\n    logger.debug('authentication data has been updated');\n  }\n};\n\nconst resetAuthData = () => {\n  access_token = undefined;\n  refresh_token = undefined;\n  logger.debug('authentication data has been DELETED');\n};\n\nexport {\n  getAuthData,\n  setAuthData,\n  resetAuthData,\n};\n","import { BipaPrivacyOptions } from '@luxottica/bipa-manager';\nimport { MicroserviceEnvironment } from '@luxottica/vto-microservices';\nimport { FrameAdvisorConfiguration } from '../interfaces/Config';\nimport { FrameAdvisorRegion } from '../interfaces/InitializeParameters';\n\nlet CONFIG: FrameAdvisorConfiguration;\n\nconst setConfig = (\n  env: MicroserviceEnvironment,\n  region: FrameAdvisorRegion,\n  source: string,\n  locale: string,\n  privacy: BipaPrivacyOptions,\n  tokenVersion: 1 | 2,\n  showCaptureTips: boolean,\n) => {\n  CONFIG = {\n    environment: env,\n    region,\n    source,\n    locale,\n    privacy,\n    tokenVersion,\n    showCaptureTips\n  };\n};\n\nexport {\n  CONFIG,\n  setConfig\n};\n","const ROOT_STYLE_NAME = 'frame-advisor-root-style';\n\nexport {\n  ROOT_STYLE_NAME\n};\n","// called when the component begin to send informations to retreive machine learning results\nexport const onFACaptureLoading = 'onFACaptureLoading';\n\n// called when the mlresults are available and the component finished its job\nexport const onFACaptureComplete = 'onFACaptureComplete';\n\nexport const onPosetrackerLoaded = 'onPosetrackerLoaded';\n\nexport const onCaptureError = 'onCaptureError';\n\nexport const onDisplayPrivacyPage = 'onDisplayPrivacyPage';\n\nexport const onPrivacyDisplay = 'onPrivacyDisplay';\n\nexport const onCaptureProcess = 'onFACaptureProcess';\n\nexport const DOMDefaultTarget = () => document.querySelector('body');\n","import { BipaPage } from '@luxottica/bipa-manager';\nimport { DOMDefaultTarget, onCaptureError, onCaptureProcess, onDisplayPrivacyPage, onFACaptureComplete, onPosetrackerLoaded, onFACaptureLoading, onPrivacyDisplay } from '../constants/DOMEvents';\nimport { AuthenticationOptions, FrameAdvisorCallbacks } from '../interfaces/InitializeParameters';\nimport { setAuthData } from './AuthHelper';\n\nconst onLoadingEvent = () => {\n  DOMDefaultTarget().dispatchEvent(new Event(onFACaptureLoading)); \n};\n\nconst onAvisorResultEvent = () => {\n  DOMDefaultTarget().dispatchEvent(new Event(onFACaptureComplete)); \n};\n\nconst onCaptureErrorEvent = () => {\n  DOMDefaultTarget().dispatchEvent(new Event(onCaptureError)); \n};\n\nconst onDisplayPrivacyPageEvent = () => {\n  DOMDefaultTarget().dispatchEvent(new Event(onDisplayPrivacyPage));\n};\n\nconst onPrivacyDisplayEvent = () => {\n  DOMDefaultTarget().dispatchEvent(new Event(onPrivacyDisplay));\n};\n\nconst onCaptureProcessEvent = () => {\n  DOMDefaultTarget().dispatchEvent(new Event(onCaptureProcess));\n};\n\nconst onPosetrackerLoadedEvent = () => {\n  DOMDefaultTarget().dispatchEvent(new Event(onPosetrackerLoaded));\n};\n\nconst CallbackHelper: FrameAdvisorCallbacks = {\n  // default events, we want to call DOM events in any case\n  onDisplayPrivacyPage: () => { onDisplayPrivacyPageEvent(); },\n  onPrivacyDisplay: () => { onPrivacyDisplayEvent(); },\n  onPrivacyFail: () => { return; },\n  onPrivacyReject: () => { return; },\n  onVtoCaptureStep: () => { return; },\n  onCountdown: () => { return; },\n  onNudging: () => { return; },\n  onImageConfirm: undefined,\n  onLoading: () => { onLoadingEvent(); },\n  onAdvisorResult: () => { onAvisorResultEvent(); },\n  onCaptureProcess: () => { onCaptureProcessEvent(); },\n  onCaptureError: () => { onCaptureErrorEvent(); },\n  onAuthUpdated: () => { return; },\n  onPosetrackerLoaded: () => { onPosetrackerLoadedEvent(); }\n};\n\nconst setCallbacks = (callbacks: Partial<FrameAdvisorCallbacks>) => {\n\n  CallbackHelper.onAuthUpdated = (authData: AuthenticationOptions) => {\n    setAuthData(authData);\n    callbacks?.onAuthUpdated?.(authData);\n  };\n  \n  if (callbacks) {\n    if (!!callbacks.onPrivacyFail) { CallbackHelper.onPrivacyFail = callbacks.onPrivacyFail; }\n    if (!!callbacks.onPrivacyReject) { CallbackHelper.onPrivacyReject = callbacks.onPrivacyReject; }\n    \n    if (!!callbacks.onVtoCaptureStep) { CallbackHelper.onVtoCaptureStep = callbacks.onVtoCaptureStep; }\n    if (!!callbacks.onCountdown) { CallbackHelper.onCountdown = callbacks.onCountdown; }\n    if (!!callbacks.onNudging) { CallbackHelper.onNudging = callbacks.onNudging; }\n\n    CallbackHelper.onImageConfirm = (!!callbacks.onImageConfirm) ? callbacks.onImageConfirm : undefined;\n\n    // we want to call DOM events in any case for loading and result\n    if (!!callbacks.onLoading) {\n      CallbackHelper.onLoading = () => {\n        onLoadingEvent();\n        callbacks.onLoading();\n      };\n    }\n    if (!!callbacks.onAdvisorResult) {\n      CallbackHelper.onAdvisorResult = (result) => {\n        onAvisorResultEvent();\n        callbacks.onAdvisorResult(result);\n      };\n    }\n    if (!!callbacks.onCaptureError) {\n      CallbackHelper.onCaptureError = (result) => {\n        onCaptureErrorEvent();\n        callbacks.onCaptureError(result);\n      };\n    }\n    if (!!callbacks.onDisplayPrivacyPage) {\n      CallbackHelper.onDisplayPrivacyPage = (page: BipaPage) => {\n        onDisplayPrivacyPageEvent();\n        callbacks.onDisplayPrivacyPage(page);\n      };\n    }\n    if (!!callbacks.onPrivacyDisplay) {\n      CallbackHelper.onPrivacyDisplay = () => {\n        onPrivacyDisplayEvent();\n        callbacks.onPrivacyDisplay();\n      };\n    }\n    if (!!callbacks.onCaptureProcess) {\n      CallbackHelper.onCaptureProcess = () => {\n        onCaptureProcessEvent();\n        callbacks.onCaptureProcess();\n      };\n    }\n  }\n};\n\nexport {\n  CallbackHelper,\n  setCallbacks\n};\n","import * as React from 'react';\nimport './LoadingSpinner.scss';\n\ninterface LoadingSpinnerProps {\n  width: number;\n  height: number;\n  background: boolean;\n  text?: string;\n}\n\nexport const LoadingSpinner = (props: LoadingSpinnerProps) => {\n\n  const size = Math.min(props.width, props.height);\n\n  return (\n    <div className={'loading-bg'}>\n      <div className='loading-spinner-container' style={{ height: size, width: size }}>\n        <div className='loading-spinner'/>\n      </div>\n    </div>\n  );\n};","import { FrameAdvisorLocalization } from '../interfaces/Localization';\n\nconst defaultLocale = 'en-US';\nconst defaultLanguage = 'en';\n\nconst localeMap = {\n\tde: 'de-DE',\n\ten: 'en-US',\n\tes: 'es-ES',\n\tfr: 'fr-FR',\n\tit: 'it-IT',\n\tja: 'ja-JP',\n\tko: 'ko-KR',\n\tnl: 'nl-NL',\n\tpl: 'pl-PL',\n\tpt: 'pt-PT',\n\tsv: 'sv-SE',\n\ttr: 'tr-TR',\n\tzh: 'zh-CN',\n};\n\nconst defaultTranslations: FrameAdvisorLocalization = {\n\tpermission_error: {\n\t\terror: 'You must allow access to your camera to use Frame Advisor.',\n\t\tsubtext: 'Click on your browser Share or Allow button to enable your webcam.'\n\t},\n\twebcam_error: {\n\t\terror: 'We could not detect your webcam.',\n\t\tsubtext: 'Enable webcam access in your browser and refresh the page to continue.'\n\t},\n\tgeneric_error: {\n\t\terror: 'An error occured',\n\t\tsubtext: 'Please check your camera permissions and try to reload the page.'\n\t},\n\tmanual_start: {\n\t\tbutton: 'Start the experience',\n\t\ttext: 'You are probably in Low Power Mode. The experience may be degraded.'\n\t},\n\tguidance: {\n\t\tunknown: 'Is anyone there?',\n\t\tdefault: 'Place your head in the oval',\n\t\tmove_closer: 'Move closer to the oval',\n\t\tmove_farther: 'Move farther from the screen',\n\t\tlook_up: 'Look up',\n\t\tlook_right: 'Look to your right',\n\t\tlook_down: 'Look down',\n\t\tlook_left: 'Look to your left',\n\t\ttilt_left: 'Tilt to your left',\n\t\ttilt_right: 'Tilt to your right',\n\t\tglasses: 'Please remove your glasses',\n\t\tstay_still: 'Good, stay still, get ready for the picture!',\n\t\tbright_light_conditions: 'It seems the overall light is too bright.',\n\t\teye_aspect_ratio_too_small: 'Please ensure that your eyes are open for the capture.',\n\t\tlow_light_conditions: 'It seems the overall light is too dim.',\n\t\tstay_still_video: 'Please remain still and get ready for video recording.',\n\t\ttoo_bright_left: 'It seems the overall light is too bright on your left side.',\n\t\ttoo_bright_right: 'It seems the overall light is too bright on your right side.'\n\t},\n\tvto_record: {\n\t\tget_ready: 'Get ready for a video',\n\t\tstep_1: 'Prepare to move your head from side to side',\n\t\tstep_2: 'Turn your head to the left.',\n\t\tstep_3: 'Turn your head to the center.',\n\t\tstep_4: 'Turn your head to the right.',\n\t\tstep_5: 'Turn your head back to center.',\n\t\tvideo_doesnt_fulfill_requirements: 'Your video doesn’t fulfill the requirements. Please take a new one'\n\t},\n\trecord_picture: {\n\t\tget_ready: 'Get ready'\n\t},\n\tserver_processing: {\n\t\tloading: 'Please wait...',\n\t\timage_upload: 'Loading the image',\n\t\timage_processing: 'We\\'re processing your information',\n\t\tdone: 'Image processing finished'\n\t},\n\tcapture_error: {\n\t\terror: 'An error occured',\n\t\tsubtext: 'Please try to shoot a picture again.',\n\t\tbutton: 'Continue'\n\t},\n\tupload: {\n\t\tclick_or_drop: 'Click to select a file or drop your picture here',\n\t\tdrop_here: 'Drop your selfie here',\n\t\ttap_to_upload: 'Tap to upload your picture',\n\t\taccept: 'Accept',\n\t\tdecline: 'Decline'\n\t}\n};\n\nconst defaultSmartShopperTranslations: any = {\n\t'drawer': {\n\t\t'add-prescription-lenses': 'Add prescription lenses',\n\t\t'add-to-bag-cta': 'Add to bag',\n\t\t'color-palette-label': 'Color palette:',\n\t\t'frame-shape-label': 'Frame shape:',\n\t\t'frame-thickness-label': 'Frame thickness:',\n\t\t'go-to-pdp-cta': 'Go to product page',\n\t\t'its-a-match': 'It\\'s a match!',\n\t\t'product-sentence': 'Based on your face scan and personal preferences, {{productName}} is a great match for you!',\n\t\t'size-label': 'Size:',\n\t\t'size-sentence': 'Your recommended size is calculated by the measurements and shape of your face',\n\t\t'style-label': 'Style:'\n\t},\n\t'error-message': {\n\t\t'error-message-1': 'Sorry, we\\'re not able to share a frame selection for children. Not a child? Let\\'s try again.',\n\t\t'error-message-1-cta': 'Try again',\n\t\t'error-message-2': 'Sorry, something went wrong.',\n\t\t'error-message-2-cta': 'Go back'\n\t},\n\t'general': {\n\t\t'best-match-badge': 'Best match',\n\t\t'eyeglasses': 'Eyeglasses',\n\t\t'fit-me-better': 'Fit me better',\n\t\t'frame-genius': 'Find your frame',\n\t\t'get-started': 'Get started',\n\t\t'hide-button': 'Hide button',\n\t\t'live-try-on': 'Live try-on',\n\t\t'load-more': 'Load more',\n\t\t'loading': 'Loading',\n\t\t'my-favorites': 'My Favorites',\n\t\t'my-matches': 'My Matches',\n\t\t'my-profile': 'My Profile',\n\t\t'picture-mode': 'Picture mode',\n\t\t'share': 'Share',\n\t\t'sunglasses': 'Sunglasses',\n\t\t'try-on': 'Try-On',\n\t\t'upload-picture': 'Upload a picture',\n\t\t'video-mode': 'Video mode'\n\t},\n\t'landing': {\n\t\t'confirm-cta': 'Confirm',\n\t\t'description-part-1': 'We\\'ve curated a selection of styles based on your personal data',\n\t\t'description-part-2': 'Complete your profile',\n\t\t'description-part-3': 'for the perfect match!',\n\t\t'what-are-you-looking-for': 'What are you looking for?'\n\t},\n\t'loader': {\n\t\t'loader-step-1': 'Analyzing your face scan',\n\t\t'loader-step-2': 'Reviewing your profile details',\n\t\t'loader-step-3': 'Gathering your ideal styles',\n\t\t'loader-step-4': 'Your assessment is complete!'\n\t},\n\t'profile': {\n\t\t'add-skin-undertone-cta-part-1': 'Skin undertone',\n\t\t'add-skin-undertone-cta-part-2': 'Add',\n\t\t'face-length': 'Face Length',\n\t\t'face-length-confirm-cta': 'Confirm',\n\t\t'face-length-description': 'If your face is longer than it is wide, you have a longer profile. If you have a round or square shaped face, you have a short profile.',\n\t\t'face-length-value-long': 'Longer profile',\n\t\t'face-length-value-short': 'Short',\n\t\t'face-shape': 'Face Shape',\n\t\t'face-shape-confirm-cta': 'Confirm',\n\t\t'face-shape-description': 'Based on your scan, your face shape is {{userFaceShapeAttribute}}. If you think this is incorrect, choose the correct face shape below.',\n\t\t'face-shape-value-oval_angled': 'Oval angled',\n\t\t'face-shape-value-oval_angled-description': 'Slightly wider cheekbones and gentle narrowing at the forehead and jaw',\n\t\t'face-shape-value-oval_round': 'Oval with rounded jawline',\n\t\t'face-shape-value-oval_round-description': 'Slightly wider cheekbones and gentle narrowing at the forehead and jaw',\n\t\t'face-shape-value-round': 'Round',\n\t\t'face-shape-value-round-description': 'Soft angle with slighter wider cheekbones and equally wide forehead and jaw',\n\t\t'face-shape-value-square': 'Square',\n\t\t'face-shape-value-square-description': 'More angular lines with equally wide cheekbones, forehead and jaw',\n\t\t'face-shape-value-triangle': 'Triangle',\n\t\t'face-shape-value-triangle-description': 'Widest at the forehead and gradually narrows through to the jaw',\n\t\t'frame-color': 'Frame Color',\n\t\t'frame-color-acetates': 'Acetates',\n\t\t'frame-color-add-skin-undertone-cta': 'For a more precise result, please add your skin undertone.',\n\t\t'frame-color-description': 'According to your features, the following palette will look good on you:',\n\t\t'frame-color-metals': 'Metals',\n\t\t'frame-color-plastics': 'Plastics',\n\t\t'frame-color-update-skin-eye-hair-cta': 'Update your skin, eye and hair color',\n\t\t'frame-color-value-autumn': 'Autumn',\n\t\t'frame-color-value-autumn-description': 'We recommend an autumn-like color palette as it complements your warmer undertone and hair color and will help bring out your features.',\n\t\t'frame-color-value-spring': 'Spring',\n\t\t'frame-color-value-spring-description': 'We recommend a spring-like color palette as it complements your warmer undertone and hair color and will help bring out your features.',\n\t\t'frame-color-value-summer': 'Summer',\n\t\t'frame-color-value-summer-description': 'We recommend a summer-like color palette as it complements your cooler undertone and hair color and will help bring out your features.',\n\t\t'frame-color-value-winter': 'Winter',\n\t\t'frame-color-value-winter-description': 'We recommend a winter-like color palette as it complements your cooler undertone and hair color and will help bring out your features.',\n\t\t'frame-color-wrong-colors': 'Wrong colors?',\n\t\t'frame-shape': 'Frame Shape',\n\t\t'frame-shape-contrast': 'Contrast',\n\t\t'frame-shape-contrast-description': 'These styles provide balance and a sense of proportion by contrasting your face shape.',\n\t\t'frame-shape-description': 'Different styles suit different face shapes! Based on your scan, your face shape is {{userFaceShapeAttribute}}.',\n\t\t'frame-shape-harmony': 'Harmony',\n\t\t'frame-shape-harmony-description': 'These styles work with your face shape to soften contours to accentuate your best features.',\n\t\t'frame-shape-something-not-right': 'Something not right?',\n\t\t'frame-shape-update-face-shape-cta': 'Update your face shape',\n\t\t'frame-shape-value-butterfly': 'Butterfly',\n\t\t'frame-shape-value-cat_eye': 'Cat Eye',\n\t\t'frame-shape-value-irregular': 'Irregular',\n\t\t'frame-shape-value-oval': 'Oval',\n\t\t'frame-shape-value-phantos': 'Phantos',\n\t\t'frame-shape-value-pillow': 'Pillow',\n\t\t'frame-shape-value-pilot': 'Pilot',\n\t\t'frame-shape-value-rectangle': 'Rectangle',\n\t\t'frame-shape-value-round': 'Round',\n\t\t'frame-shape-value-squared': 'Squared',\n\t\t'frame-size': 'Frame Size',\n\t\t'frame-size-consult-size-guide-cta': 'Consult our size guide',\n\t\t'frame-size-how-is-calculated-description': 'Your ideal size is calculated based on face width mm. Each frame has different features that affect the size. Your selection shows you the styles that will fit best.',\n\t\t'frame-size-how-is-calculated-title': 'How is size calculated?',\n\t\t'profile': 'For more accurate style matches, use the information below to select your face length.',\n\t\t'profile-saved-in-your-account': 'Profile saved in your account',\n\t\t'reset-confirm-keep-cta': 'Keep my profile',\n\t\t'reset-confirm-message': 'If you choose to reset, all data will be deleted and you will be taken back to the start.',\n\t\t'reset-confirm-reset-cta': 'Reset my profile',\n\t\t'reset-profile-cta': 'Reset your profile and start again',\n\t\t'save-to-my-account-cta': 'Save to My Account',\n\t\t'skinunder-confirm-cta': 'Confirm',\n\t\t'skinunder-description': 'Warm skin tones tend to have a yellow/golden hue, whereas cool tones appear more pink/blue.',\n\t\t'skinunder-eye-hair-color-confirm-cta': 'Confirm',\n\t\t'skinunder-eye-hair-color-description': 'Select the skin undertone, eye and hair color that resembles you most.',\n\t\t'skinunder-eye-hair-color-eyecolor-label': 'Eye color',\n\t\t'skinunder-eye-hair-color-eyecolor-value-blue': 'Blue',\n\t\t'skinunder-eye-hair-color-eyecolor-value-brown': 'Brown',\n\t\t'skinunder-eye-hair-color-eyecolor-value-green': 'Green',\n\t\t'skinunder-eye-hair-color-eyecolor-value-other': 'Other',\n\t\t'skinunder-eye-hair-color-haircolor-label': 'Hair color',\n\t\t'skinunder-eye-hair-color-haircolor-value-bald': 'Bald',\n\t\t'skinunder-eye-hair-color-haircolor-value-black': 'Black',\n\t\t'skinunder-eye-hair-color-haircolor-value-blonde': 'Blonde',\n\t\t'skinunder-eye-hair-color-haircolor-value-brown': 'Brown',\n\t\t'skinunder-eye-hair-color-haircolor-value-gray': 'Gray',\n\t\t'skinunder-eye-hair-color-haircolor-value-other': 'Other',\n\t\t'skinunder-eye-hair-color-haircolor-value-red': 'Red',\n\t\t'skinunder-eye-hair-color-skinunder-label': 'Skin undertone',\n\t\t'skinunder-eye-hair-color-title': 'Skin Undertone, Eye and Hair Color',\n\t\t'skinunder-value-cool': 'Cool',\n\t\t'skinunder-value-warm': 'Warm',\n\t\t'skinundertone-description': 'According to your skin tone, select one of the following shades.',\n\t\t'skinundertone-title': 'Skin Undertone',\n\t\t'style-playlist': 'Style Playlist',\n\t\t'style-playlist-confirm-cta': 'Confirm',\n\t\t'style-playlist-description': 'Choose the style that describes you best for a selection that matches your tastes.',\n\t\t'style-preference': 'Style Preference',\n\t\t'style-preference-confirm-cta': 'Confirm',\n\t\t'style-preference-description': 'Feminine styles tend to be more rounded with thinner frames, whereas masculine styles are more squared and have thicker frames.',\n\t\t'style-preference-subtitle': 'Tell us more about your style for the best results!',\n\t\t'style-preference-value-female': 'Feminine',\n\t\t'style-preference-value-male': 'Masculine',\n\t\t'temple-thickness': 'Temple Thickness',\n\t\t'temple-thickness-description-value-thick': 'According to your face length and nose profile, thick frames will suit you best. Choose between Acetate or Metal frames, to match your personality.',\n\t\t'temple-thickness-description-value-thin': 'According to your face length and nose profile, thin frames will suit you best. Choose between Acetate or Metal frames, to match your personality.',\n\t\t'temple-thickness-explanation': 'Temple thickness refers to how wide or narrow the arms of the glasses are.',\n\t\t'temple-thickness-update-face-length-cta': 'Update your face length',\n\t\t'temple-thickness-value-thick': 'Thick',\n\t\t'temple-thickness-value-thin': 'Thin'\n\t},\n\t'scanning': {\n\t\t'scan-complete': 'Your scan is complete! Sit tight while we create your selection.',\n\t\t'scan-step-1': 'If you have eyeglasses please remove them.<br/>Stand still in a well-lit area for best results.',\n\t\t'scan-step-2': 'Place your face in the center of the frame and look straight into the camera.',\n\t\t'scan-step-3': 'Hold still for a few seconds to get an accurate scan.'\n\t},\n\t'share': {\n\t\t'copy-link': 'Copy link',\n\t\t'save-image': 'Save image',\n\t\t'share': 'Share'\n\t},\n\t'take-tips': {\n\t\t'chin': 'Raise your chin during the face framing',\n\t\t'dont-rotate-too-much': 'Do not rotate the head too much, follow the arrows.',\n\t\t'free-face': 'The face should not be covered by anything, including eyewear or hair',\n\t\t'hold-with-both-hands': 'Hold your device with both hands',\n\t\t'light': 'Be positioned in a well-lit spot',\n\t\t'look-straight-1': 'Look straight to the camera and<br/>get ready to turn your face',\n\t\t'look-straight-2': 'Look straight to the camera',\n\t\t'move-your-hair': 'Move your hair away from your face',\n\t\t'next-cta': 'Get started',\n\t\t'relaxed-face': 'Keep a relaxed face and do not smile',\n\t\t'take-eyeglasses-off': 'Take eyeglasses off if wearing any',\n\t\t'title': 'Some short tips before we start'\n\t},\n\t'tryon-picture': {\n\t\t'picture-scan-step-1': 'If you have eyeglasses please remove them and get ready for the picture.',\n\t\t'picture-scan-step-2': 'Hold still for a few seconds to get an accurate picture.',\n\t\t'picture-scan-step-3': 'Your picture is ready!
Please wait while we load the frames.'\n\t},\n\t'tryon-video': {\n\t\t'scan-complete': 'Scan complete!',\n\t\t'video-scan-step-1': 'If you have eyeglasses please remove them. Stand still in a well-lit area for best results.',\n\t\t'video-scan-step-2': 'Slowly turn your head to the left and then back to center.'\n\t},\n\t'turn-screen': {\n\t\t'turn-your-device': 'Turn your device in order to continue the experience'\n\t}\n};\n\nconst LocalizationDefaults = {\n\tlocale: defaultLocale,\n\tlanguage: defaultLanguage,\n\tlocaleMap,\n\ttranslations: defaultTranslations,\n\tssTranslations: defaultSmartShopperTranslations\n};\n\nexport {\n\tLocalizationDefaults,\n};\n","import { InitializeParameters, InitializeOptions } from '../interfaces/InitializeParameters';\n\nclass FrameAdvisorError extends Error {\n  public type: string;\n\n  constructor(type: string, message: string, error?: Error) {\n    super(message);\n    this.type = type;\n    this.name = type;\n    this.message = message;\n    this.stack = error?.stack;\n\n    Object.setPrototypeOf(this, FrameAdvisorError.prototype);\n  }\n}\n\nclass InitializationError extends FrameAdvisorError {\n  public static type = 'InitializationError';\n\n  constructor(input: InitializeParameters, message: string, error?: Error) {\n    super(InitializationError.type, `failed to initialize component with input=${JSON.stringify(input)}, message=${(!!message) ? message : error?.message}`, error);\n    Object.setPrototypeOf(this, InitializationError.prototype);\n  }\n}\n\nclass NotInitializedError extends FrameAdvisorError {\n  public static type = 'NotInitializedError';\n\n  constructor() {\n    super(NotInitializedError.type, 'component must first be initialized');\n    Object.setPrototypeOf(this, NotInitializedError.prototype);\n  }\n}\n\nclass LocalizationError extends FrameAdvisorError {\n  public static type = 'LocalizationError';\n\n  constructor(message: string, error?: Error) {\n    super(LocalizationError.type, message, error);\n    Object.setPrototypeOf(this, LocalizationError.prototype);\n  }\n}\n\nclass MountError extends FrameAdvisorError {\n  public static type = 'MountError';\n\n  constructor(divId: string, error?: Error) {\n    super(MountError.type, `failed to mount div in id ${divId}`, error);\n    Object.setPrototypeOf(this, MountError.prototype);\n  }\n}\n\nclass RequestError extends FrameAdvisorError {\n  public static type = 'RequestError';\n\n  constructor(message: string, error?: Error) {\n    super(RequestError.type, message, error);\n    Object.setPrototypeOf(this, RequestError.prototype);\n  }\n}\n\nclass ServerError extends FrameAdvisorError {\n  public static type = 'ServerError';\n\n  constructor(message: string, error?: Error) {\n    super(ServerError.type, message, error);\n    Object.setPrototypeOf(this, ServerError.prototype);\n  }\n}\n\nclass PrivacyError extends FrameAdvisorError {\n  public static type = 'PrivacyError';\n\n  constructor(message: string) {\n    super(PrivacyError.type, message);\n    Object.setPrototypeOf(this, PrivacyError.prototype);\n  }\n}\n\nclass TimeoutError extends FrameAdvisorError {\n  public static type = 'TimeoutError';\n\n  constructor(duration: number) {\n    super(TimeoutError.type, `request has timed out after ${duration}ms`);\n    Object.setPrototypeOf(this, TimeoutError.prototype);\n  }\n}\n\nclass InitializationParamsError extends FrameAdvisorError {\n  public static type = 'InitializationParamsError';\n\n  constructor(params: Partial<InitializeOptions>) {\n    super(InitializationParamsError.type, `Failed to initialize capture component, check your parameters ${JSON.stringify(params)}`);\n    Object.setPrototypeOf(this, InitializationParamsError.prototype);\n  }\n}\n\nclass RecordingError extends FrameAdvisorError {\n  public static type = 'RecordingError';\n\n  constructor(message: string) {\n    super(RecordingError.type, message);\n    Object.setPrototypeOf(this, RecordingError.prototype);\n  }\n}\n\nexport {\n  FrameAdvisorError,\n  InitializationError,\n  NotInitializedError,\n  LocalizationError,\n  MountError,\n  RequestError,\n  ServerError,\n  PrivacyError,\n  TimeoutError,\n  InitializationParamsError,\n  RecordingError,\n};\n","import { RemoteLogConfig } from '@luxottica/vm-remotelog';\nimport { name, version } from '../../package.json';\nimport { LocalizationDefaults } from '../constants/LocalizationDefaults';\nimport { LocalizationError } from '../errors/errors';\nimport { FrameAdvisorLocalization } from '../interfaces/Localization';\nimport { MicroserviceEnvironment } from '@luxottica/vto-microservices';\n\nconst logger = RemoteLogConfig.getInstance().getLoggerInfo(name, version, 'LocalizationHelper');\n\nlet localizedFaTranslations: FrameAdvisorLocalization;\nlet localizedSmartShopperTranslations: Record<string, Record<string, string>>;\n\nconst localizationBaseUrl = 'https://d5nhc6q3o19l2.cloudfront.net';\n// const translationType = 'MIRROR';\n\nconst translateEnv = (env: MicroserviceEnvironment) : string => {\n  if (env === 'STAGING'){\n    return 'dev';\n  }\n\n  if (env === 'ACCEPTANCE'){\n    return 'test';\n  }\n\n  return 'prod';\n};\n\nconst fetchFrameAdvisorJson = (locale: string, env: MicroserviceEnvironment): Promise<FrameAdvisorLocalization> => {\n\n  const translateEnvLabel = translateEnv(env);\n  const localizationFileUrl = `${localizationBaseUrl}/capture/v1/${translateEnvLabel}/ui/application_${locale}.json`;\n\n  return fetch(localizationFileUrl).then((response) => {\n    if (response.ok) {\n      return response.json();\n    } else {\n      throw Error(`failed to find frame advisor localization for locale: ${locale}`);\n    }\n  }).then((json) => {\n    console.log({json});\n    return json;\n  });\n};\n\nconst fetchSmartShopperJson = (locale: string, source: string): Promise<void> => {\n  const fileUrl = `${localizationBaseUrl}/frame-advisor/v2/prod/${source}/application_${locale}.json`;\n\n  return fetch(fileUrl).then((response) => {\n    if (response.ok) {\n      return response.json();\n    } else {\n      throw Error(`failed to find frame advisor localization for locale: ${locale}`);\n    }\n  }).then((json) => {\n    localizedSmartShopperTranslations = json;\n  });\n};\n\nconst fetchFrameAdvisorTranslations = (\n  locale: string,\n  source: string,\n  downloadSsLocalization: boolean,\n  env: MicroserviceEnvironment\n): Promise<FrameAdvisorLocalization> => {\n  return Promise.all([\n    fetchFrameAdvisorJson(locale, env),\n    (downloadSsLocalization) ? fetchSmartShopperJson(locale,source).catch(() => {\n      logger.error(`failed to find smart shopper localization for locale: ${locale}, source: ${source}`);\n      localizedSmartShopperTranslations = LocalizationDefaults.ssTranslations;\n    }) : Promise.resolve()\n  ]).then((json) => {\n    return json[0];\n  });\n};\n\nconst fetchFrameAdvisorLocalization = (\n  backupLanguage: string,\n  locale: string,\n  source: string,\n  downloadSsLocalization: boolean,\n  env: MicroserviceEnvironment\n): Promise<void> => {\n  return new Promise((resolve) => {\n\n    let translationFound = false;\n    const backupLocale = LocalizationDefaults.localeMap[backupLanguage];\n    const defaultLocale = LocalizationDefaults.locale;\n\n    fetchFrameAdvisorTranslations(locale, source, downloadSsLocalization, env).then((translation) => {\n      translationFound = true;\n      console.log({translation});\n      localizedFaTranslations = translation;\n    }).catch(() => {\n      if (!translationFound) {\n        logger.warn(`failed to find frame-advisor localization for locale: '${locale}', trying with backup locale '${backupLocale}'`);\n      }\n    }).then(() => {\n      if (!translationFound) {\n        return fetchFrameAdvisorTranslations(backupLocale, source, downloadSsLocalization, env);\n      } else {\n        throw Error('break');\n      }\n    }).then((backupLanguageTranslation) => {\n      translationFound = true;\n      localizedFaTranslations = backupLanguageTranslation;\n    }).catch(() => {\n      if (!translationFound) {\n        logger.warn(`failed to find frame-advisor localization for locale: '${backupLocale}', trying with default locale '${defaultLocale}'`);\n      }\n    }).then(() => {\n      if (!translationFound) {\n        return fetchFrameAdvisorTranslations(defaultLocale, source, downloadSsLocalization, env);\n      } else {\n        throw Error('break');\n      }\n    }).then((defaultLanguageTranslation) => {\n      translationFound = true;\n      localizedFaTranslations = defaultLanguageTranslation;\n    }).catch(() => {\n      if (!translationFound) {\n        logger.warn(`failed to find frame-advisor localization for locale: ${defaultLocale}, using local translations`);\n      }\n    }).then(() => {\n      if (!translationFound) {\n        translationFound = true;\n        localizedFaTranslations = LocalizationDefaults.translations;\n      }\n      resolve();\n    });\n  });\n};\n\nconst LocalizationHelper = {\n  getString(page: string, key: string): string {\n    try {\n      return localizedFaTranslations[page][key];\n    } catch (e) {\n      logger.warn(`local translation not found for [${page}][${key}] using default`);\n      try {\n        return LocalizationDefaults.translations[page][key];\n      } catch (e) {\n        logger.warn(`default translation not found for [${page}][${key}]`);\n        return '';\n      }\n    }\n  },\n\n  getSmartShopperString(page: string, key: string): string {\n    try {\n      return localizedSmartShopperTranslations[page][key];\n    } catch (e) {\n      logger.warn(`smart shopper translation not found for [${page}][${key}] using default`);\n      return '';\n    }\n  },\n\n  setLocalizationText(\n    locale: string,\n    source: string,\n    downloadSsLocalization: boolean,\n    env: MicroserviceEnvironment\n  ): Promise<void> {\n    let backupLanguage : string;\n    return new Promise((resolve, reject) => {\n      try {\n        backupLanguage = locale.split('-')[0];\n        if (!LocalizationDefaults.localeMap[backupLanguage]) {\n          backupLanguage = 'en';\n        }\n        resolve(backupLanguage);\n      } catch (e) {\n        const error = new LocalizationError(`invalid locale '${locale}'`, e);\n        logger.error(error);\n        reject(error);\n      }\n    }).then(() => {\n      return fetchFrameAdvisorLocalization(backupLanguage, locale, source, downloadSsLocalization, env);\n    });\n  }\n};\n\nexport {\n  LocalizationHelper\n};","import React from 'react';\n\nexport const CrosshairIcon = () => (\n  <div className='svg-container'>\n    <svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 99 99' fill='none'>\n      <circle cx='49.152' cy='49.4557' r='48.128' stroke='#333333' strokeWidth='2.048' />\n      <path d='M73.7281 48.4319H68.5558C68.0367 38.5226 60.0853 30.5713 50.1761 30.0521V24.8799H48.1281V30.0521C38.2188 30.5713 30.2674 38.5226 29.7483 48.4319H24.576V50.4799H29.7483C30.2674 60.3891 38.2188 68.3405 48.1281 68.8597V74.0319H50.1761V68.8597C60.0853 68.3405 68.0367 60.3891 68.5558 50.4799H73.7281V48.4319ZM50.1761 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67.2198 58.2345 67.8904C58.2191 67.8904 58.2038 67.8945 58.1875 67.8945H39.8125C39.7962 67.8945 39.7809 67.8904 39.7645 67.8894C39.9279 67.2187 40.1535 66.6563 40.4566 66.1918L46.16 57.4688C47.1727 55.9202 46.8971 53.9989 45.4904 52.7964C44.0837 51.5949 42.1441 51.6224 40.7721 52.8628L36.75 56.5041V30.1237C36.75 28.4352 38.124 27.0612 39.8125 27.0612H58.1875C59.876 27.0612 61.25 28.4352 61.25 30.1237V56.5041L57.2269 52.8638Z' fill='#222222' />\n        <path d='M53.0833 31.1445H44.9166V33.1862H53.0833V31.1445Z' fill='#222222' />\n        <path d='M49 63.8109C50.1276 63.8109 51.0417 62.8968 51.0417 61.7692C51.0417 60.6416 50.1276 59.7275 49 59.7275C47.8725 59.7275 46.9584 60.6416 46.9584 61.7692C46.9584 62.8968 47.8725 63.8109 49 63.8109Z' fill='#222222' />\n      </g>\n      <defs>\n        <clipPath id='clip0_1611_160729'>\n          <rect width='49' height='49' fill='white' transform='translate(24.5 25.0195)' />\n        </clipPath>\n      </defs>\n    </svg>\n  </div>\n);","import React from 'react';\n\nexport const EyeglassIcon = () => (\n  <div className='svg-container'>\n    <svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 99 100' fill='none'>\n      <circle cx='49.152' cy='50.0641' r='48.128' stroke='#333333' strokeWidth='2.048' />\n      <g clipPath='url(#clip0_48_52722)'>\n        <path d='M54.8905 62.3522C54.4072 62.3522 53.9956 62.0225 53.8901 61.5504L52.2947 54.365L53.4918 52.5679C53.6822 52.2822 54.0007 52.1122 54.3437 52.1122H69.6321V58.0084L71.6801 55.9604V52.1122H73.7281V50.0642H71.6073L63.271 31.1929C62.5972 29.6702 61.4073 28.4219 59.9204 27.6785L55.7548 25.5957L54.8383 27.4276L59.004 29.5105C60.0669 30.0419 60.9168 30.9328 61.397 32.0203L69.3679 50.0642H54.3437C53.3146 50.0642 52.3592 50.5752 51.7878 51.4322L51.111 52.4481C49.8463 52.0344 48.4578 52.0344 47.1921 52.4481L46.5152 51.4322C45.9449 50.5752 44.9895 50.0642 43.9604 50.0642H28.9362L36.9071 32.0213C37.3883 30.9338 38.2383 30.0419 39.3012 29.5115L43.4668 27.4287L42.5503 25.5967L38.3847 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 <rect width='49.152' height='49.152' fill='white' transform='translate(24.576 25.4883)' />\n        </clipPath>\n      </defs>\n    </svg>\n  </div>\n);","import React from 'react';\n\nexport const FaceIcon = () => (\n  <div className='svg-container'>\n    <svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 99 99' fill='none'>\n      <circle cx='49.152' cy='49.7604' r='48.128' stroke='#333333' strokeWidth='2.048' />\n      <g clipPath='url(#clip0_48_52728)'>\n        <path d='M70.9764 41.5556C70.7798 33.3718 63.6876 27.7961 57.1811 26.0789C51.0801 24.4671 45.6324 25.9591 42.6853 29.967C39.4423 28.2835 35.9792 28.3583 33.0526 30.2087C28.5552 33.0523 26.1713 39.397 26.9741 46.309C26.9905 46.6244 27.4288 54.0545 31.4398 57.5198C31.6292 57.6826 31.833 57.8085 32.0316 57.9488C33.4867 66.0865 40.6005 72.2889 49.1519 72.2889C58.073 72.2889 65.4386 65.5408 66.436 56.8818C68.3294 55.2373 71.2088 51.1484 70.9764 41.5556ZM29.0139 46.136C28.2961 39.9367 30.3113 34.364 34.1472 31.9392C36.6826 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/>\n        </clipPath>\n      </defs>\n    </svg>\n  </div>\n);","import React from 'react';\n\nexport const HairIcon = () => (\n  <div className='svg-container'>\n    <svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 99 99' fill='none'>\n      <circle cx='49.152' cy='49.3678' r='48.128' stroke='#222222' strokeWidth='2.048' />\n      <path d='M73.428 61.956C71.4097 59.9377 70.6571 51.2798 70.6561 46.296C70.6561 34.4391 61.01 24.792 49.1521 24.792C37.2941 24.792 27.648 34.4391 27.648 46.296C27.647 51.2798 26.8944 59.9377 24.8761 61.956L24.576 62.2561V62.68C24.576 68.8906 29.6295 73.944 35.8401 73.944C39.2602 73.944 42.324 72.4059 44.3915 69.9924C45.693 71.2089 47.3908 71.896 49.1521 71.896C50.9133 71.896 52.6111 71.2099 53.9126 69.9914C55.9801 72.4059 59.0439 73.944 62.4641 73.944C68.6746 73.944 73.7281 68.8906 73.7281 62.68V62.2561L73.428 61.956ZM49.1521 69.848C47.74 69.848 46.3801 69.2162 45.4196 68.1144L39.891 61.7645C38.3847 60.036 37.4406 57.8877 37.161 55.5345L35.8401 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46.0973L64.5121 45.9581C64.5121 41.8303 60.8605 39.0573 55.4241 39.0573C46.4108 39.0573 44.0146 34.7442 43.9215 34.5691L41.9841 35.032C41.9841 43.0305 37.2634 43.0305 35.7121 43.0305H34.8161L33.7921 44.0545V45.9407L33.8525 46.3871C31.7942 46.6605 30.7569 47.5555 30.2511 48.3338C29.5312 49.4417 29.4851 50.904 30.1251 52.3437L30.3657 52.8906C31.3222 55.0799 32.4066 57.56 35.157 57.56C35.2584 57.56 35.3577 57.5498 35.4581 57.5436C35.9762 59.61 36.9531 61.5106 38.3458 63.109L43.006 68.4615C41.3164 70.5535 38.7329 71.896 35.8401 71.896C30.8849 71.896 26.8309 67.9659 26.6312 63.0589C29.608 59.3356 29.6961 47.6569 29.6961 46.296C29.6961 35.5675 38.4236 26.84 49.1521 26.84C59.8805 26.84 68.6081 35.5675 68.6081 46.296C68.6081 47.6569 68.6961 59.3356 71.6729 63.0589C71.4732 67.9659 67.4192 71.896 62.4641 71.896Z' fill='#222222' />\n      <path d='M51.6445 48.4014H49.5965V56.535H47.0897V58.583H51.6445V48.4014Z' fill='#222222' />\n      <path d='M52.5435 62.6066L49.152 61.6133L45.7605 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d='M67.1924 29.5416L62.486 34.248L64.0548 35.8169L68.7612 31.1104L67.1924 29.5416Z' fill='#333333' />\n      <path d='M75.776 48.0449H69.12V50.2636H75.776V48.0449Z' fill='#333333' />\n      <path d='M64.0548 62.4888L62.486 64.0576L67.1924 68.7641L68.7612 67.1953L64.0548 62.4888Z' fill='#333333' />\n      <path d='M50.2626 69.1201H48.0439V75.7761H50.2626V69.1201Z' fill='#333333' />\n      <path d='M34.2465 62.4859L29.54 67.1924L31.1089 68.7612L35.8153 64.0547L34.2465 62.4859Z' fill='#333333' />\n      <path d='M29.184 48.0449H22.528V50.2636H29.184V48.0449Z' fill='#333333' />\n      <path d='M31.1098 29.5425L29.541 31.1113L34.2475 35.8178L35.8163 34.249L31.1098 29.5425Z' fill='#333333' />\n    </svg>\n  </div>\n);","import React from 'react';\n\nexport const RotateIcon = () => (\n  <div className='svg-container'>\n    <svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 80 80' fill='none'>\n      <path d='M58.3333 76.6663H8.33333C5.57667 76.6663 3.33333 74.423 3.33333 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'./icons/RotateIcon';\n\nconst FrameAdvisorCaptureTips = (props: {\n  onComplete: () => void,\n  landscape?: boolean,\n}) => {\n\n  const [landscapeMode, setLandscapeMode] = useState<boolean>(device.landscape());\n  // if the device is already in landscape mode, show the tips\n  const [currentPage, setCurrentPage] = useState<'TIPS' | 'ROTATE'>(props.landscape ? 'ROTATE' : 'TIPS');\n\n  const setOrientation = () => {\n    setLandscapeMode(device.landscape());\n  };\n\n  const onClickContinue = () => {\n    if (landscapeMode) {\n      setCurrentPage('ROTATE');\n    } else {\n      props.onComplete();\n    }\n  };\n\n  useEffect(() => {\n    window.addEventListener('resize', setOrientation);\n    return () => {\n      window.removeEventListener('resize', setOrientation);\n    };\n  }, []);\n\n  useEffect(() => {\n    if (currentPage === 'ROTATE' && !landscapeMode) {\n      props.onComplete();\n    }\n  }, [currentPage, landscapeMode]);\n\n  if (currentPage === 'TIPS') {\n    return (\n      <div className='frame-advisor-capture-tips'>\n        {(landscapeMode) ? \n            <div className='frame-advisor-capture-tips-container landscape'>\n  \n              <div className='header'>{LocalizationHelper.getSmartShopperString('take-tips', 'title')}</div>\n  \n              <div className='rows'>\n  \n                <div className='row top'>\n                  <div className='tip'>\n                    <SunIcon/>\n                    <span>{LocalizationHelper.getSmartShopperString('take-tips', 'light')}</span>\n                  </div>\n                  <div className='tip'>\n                    <CrosshairIcon/>\n                    <span>{LocalizationHelper.getSmartShopperString('take-tips', 'look-straight-2')}</span>\n                  </div>\n                  <div className='tip'>\n                    <FaceIcon/>\n                    <span>{LocalizationHelper.getSmartShopperString('take-tips', 'relaxed-face')}</span>\n                  </div>\n                </div>\n  \n                <div className='row bottom'>\n                  <div className='tip'>\n                    <EyeglassIcon/>\n                    <span>{LocalizationHelper.getSmartShopperString('take-tips', 'take-eyeglasses-off')}</span>\n                  </div>\n                  <div className='tip'>\n                    <HairIcon/>\n                    <span>{LocalizationHelper.getSmartShopperString('take-tips', 'move-your-hair')}</span>\n                  </div>\n                  <div className='tip'>\n                    <DeviceIcon/>\n                    <span>{LocalizationHelper.getSmartShopperString('take-tips', 'hold-with-both-hands')}</span>\n                  </div>\n                </div>\n                \n              </div>\n  \n              <button className='frame-advisor-capture-tips-container-button' onClick={onClickContinue}>\n                {LocalizationHelper.getSmartShopperString('take-tips', 'next-cta')}\n              </button>\n  \n            </div>\n           :\n            <div className='frame-advisor-capture-tips-container portrait'>\n              \n              <div className='header'>{LocalizationHelper.getSmartShopperString('take-tips', 'title')}</div>\n  \n              <div className='rows'>\n                <div className='row'>\n                  <SunIcon/>\n                  <span>{LocalizationHelper.getSmartShopperString('take-tips', 'light')}</span>\n                </div>\n                <div className='row'>\n                  <CrosshairIcon/>\n                  <span>{LocalizationHelper.getSmartShopperString('take-tips', 'look-straight-2')}</span>\n                </div>\n                <div className='row'>\n                  <FaceIcon/>\n                  <span>{LocalizationHelper.getSmartShopperString('take-tips', 'relaxed-face')}</span>\n                </div>\n                <div className='row'>\n                  <EyeglassIcon/>\n                  <span>{LocalizationHelper.getSmartShopperString('take-tips', 'take-eyeglasses-off')}</span>\n                </div>\n                <div className='row'>\n                  <HairIcon/>\n                  <span>{LocalizationHelper.getSmartShopperString('take-tips', 'move-your-hair')}</span>\n                </div>\n                <div className='row'>\n                  <DeviceIcon/>\n                  <span>{LocalizationHelper.getSmartShopperString('take-tips', 'hold-with-both-hands')}</span>\n                </div>\n              </div>\n  \n              <button className='frame-advisor-capture-tips-container-button' onClick={onClickContinue}>\n                {LocalizationHelper.getSmartShopperString('take-tips', 'next-cta')}\n              </button>\n  \n            </div>\n        }\n      </div>\n    );\n  } else if (currentPage === 'ROTATE') {\n    return (\n      <div className='frame-advisor-capture-rotate'>\n        <RotateIcon/>\n        <span>{LocalizationHelper.getSmartShopperString('turn-screen', 'turn-your-device')}</span>\n      </div>\n    );\n\n  } else {\n    return <></>;\n  }\n\n};\n\nexport {\n  FrameAdvisorCaptureTips\n};\n","import React from 'react';\nimport { LocalizationHelper } from '../../helpers/LocalizationHelper';\nimport './FrameAdvisorErrorOverlay.scss';\n\nconst FrameAdvisorErrorOverlay = (props: {\n  enabled: boolean,\n  onClickOk: () => void\n}) => {\n\n  return (\n    <div className={`frame-advisor-error-overlay${props.enabled ? ' active' : ''}`}>\n      {props.enabled &&\n      <div className='frame-advisor-error-overlay-modal'>\n        <div className='frame-advisor-error-overlay-modal-header'>{LocalizationHelper.getString('capture_error', 'error')}</div>\n        <div className='frame-advisor-error-overlay-modal-text'>{LocalizationHelper.getString('capture_error', 'subtext')}</div>\n        <button className='frame-advisor-error-overlay-modal-button' onClick={props.onClickOk}>\n          {LocalizationHelper.getString('capture_error', 'button')}\n        </button>\n      </div>\n      }\n    </div>\n  );\n};\n\nexport {\n  FrameAdvisorErrorOverlay\n};\n","enum CaptureStatus {\n  LOADING = 'LOADING',\n  INITIAL = 'INITIAL',\n  SAVING = 'SAVING',\n  UPLOADING = 'UPLOADING',\n  PROCESSING = 'PROCESSING',\n  COMPLETE = 'COMPLETE',\n  ERROR = 'ERROR'\n}\n\nexport {\n  CaptureStatus,\n};\n","import { AgreementType, BipaManager, BipaOverlay, BipaPage } from '@luxottica/bipa-manager';\nimport React, { lazy, Suspense, useEffect, useState } from 'react';\nimport { getAuthData } from '../../helpers/AuthHelper';\nimport { CallbackHelper } from '../../helpers/CallbackHelper';\nimport { CONFIG } from '../../helpers/ConfigHelper';\nimport { CaptureOptions } from '../../interfaces/CaptureParameters';\nimport { LoadingSpinner } from '../LoadingSpinner';\nimport { FrameAdvisorCaptureTips } from './tips/FrameAdvisorCaptureTips';\nimport './FrameAdvisorContainer.scss';\nimport { FrameAdvisorErrorOverlay } from './FrameAdvisorErrorOverlay';\nimport device from 'current-device';\nimport { CaptureStatus } from '../../interfaces/CaptureStatus';\n\ntype agreementStatus = 'INITIAL' | 'APPROVED' | 'REJECTED' | 'ERROR';\n\n// this is used to prevent an application reset in case the device is rotated after the capture\nlet captureComplete = false;\n\nconst FrameAdvisorContainer = (props: {\n  options: CaptureOptions\n}) => {\n\n  // begin to download the capture chunk while the user is checking the privacy\n  // in case the privacy is already accepted the user will see a loading spinner\n  const lazyFrameAdvisorPromise = import(/* webpackChunkName: \"FrameAdvisorVideo\" */ './FrameAdvisorVideo')\n    .then(({ FrameAdvisorVideo }) => ({ default: FrameAdvisorVideo }));\n\n  // REACT.lazy wrapper used to display a spinner while loading\n  const LazyFrameAdvisorVideo = lazy(() => lazyFrameAdvisorPromise);\n\n  const [agreementStatus, setAgreementStatus] = useState<agreementStatus>(\n    BipaManager.biometricCookieExists(AgreementType.BIOMETRIC) ? 'APPROVED' : 'INITIAL'\n  );\n\n  const [showCaptureTips, setShowCaptureTips] = useState<boolean>(CONFIG.showCaptureTips);\n\n  const [landscape, setLandscape] = useState<boolean>(false);\n\n  useEffect(() => {\n    // react to device orientation only if the capture tips are used\n    if (CONFIG.showCaptureTips) {\n      device.onChangeOrientation((orientation) => {\n        setLandscape(orientation === 'landscape' && !captureComplete);\n      });\n    }\n  }, []);\n\n  let content;\n\n  switch (agreementStatus) {\n    case 'INITIAL':\n      CallbackHelper.onPrivacyDisplay();\n      content = (\n        <BipaOverlay\n          type={AgreementType.BIOMETRIC}\n          tokenVersion={CONFIG.tokenVersion}\n          accessToken={getAuthData().accessToken}\n          refreshToken={getAuthData().refreshToken}\n          environment={CONFIG.environment}\n          locale={CONFIG.locale}\n          source={CONFIG.source}\n          region={CONFIG.region}\n          callbacks={{\n            onTermsAndConditionsClick: CONFIG.privacy.onTermsAndConditionsClick,\n            onDisplayPage: (page: BipaPage) => {\n              CallbackHelper.onDisplayPrivacyPage(page);\n            },\n            onSubmit: () => {\n              // close the Privacy agreement and start the experience\n              setAgreementStatus('APPROVED');\n            },\n            onUserReject:  () => {\n              // close the Privacy agreement and BLOCK the experience\n              setAgreementStatus('REJECTED');\n              CallbackHelper.onPrivacyReject();\n            },\n            onError: (error) => {\n              setAgreementStatus('ERROR');\n              CallbackHelper.onPrivacyFail(error);\n            },\n            onAuthUpdated: CallbackHelper.onAuthUpdated\n          }} privacy={{\n            termsAndConditions: CONFIG.privacy.termsAndConditions,\n            localizationText: CONFIG.privacy?.localizationText\n          }}/>\n      );\n      break;\n    case 'APPROVED':\n      if (showCaptureTips || landscape) {\n        content = <FrameAdvisorCaptureTips onComplete={() => { setShowCaptureTips(false); }} landscape={landscape}/>;\n      } else {\n        CallbackHelper.onCaptureProcess();\n        content = (\n          <Suspense fallback={<LoadingSpinner background={true} width={300} height={300}/>}>\n            <LazyFrameAdvisorVideo options={props.options} environment={CONFIG.environment}\n            onStatusChange={(status) => {\n              captureComplete = \n                status === CaptureStatus.COMPLETE ||\n                status === CaptureStatus.PROCESSING ||\n                status === CaptureStatus.UPLOADING ||\n                status === CaptureStatus.SAVING ||\n                status === CaptureStatus.ERROR\n              ;\n            }}/>\n          </Suspense>\n        );\n      }\n      break;\n    case 'ERROR':\n      content = <FrameAdvisorErrorOverlay enabled onClickOk={() => { setAgreementStatus('INITIAL'); }} />;\n      break;\n    case 'REJECTED':\n    default:\n      content = <></>;\n      break;\n  }\n\n  return (\n    <div className='frame-advisor-container'>\n      {content}\n    </div>\n  );\n};\n\nexport {\n  FrameAdvisorContainer\n};\n","import React from 'react';\nimport ReactDOM from 'react-dom';\nimport { ROOT_STYLE_NAME } from '../../constants/Styling';\nimport { CaptureOptions } from '../../interfaces/CaptureParameters';\nimport { FrameAdvisorContainer } from './FrameAdvisorContainer';\n\nlet currentContainer;\n\nconst loadFrameAdvisor = (\n  container: HTMLElement,\n  options: CaptureOptions,\n  onMount: () => void\n) => {\n  currentContainer = container;\n  currentContainer.classList.add(ROOT_STYLE_NAME);\n  ReactDOM.render(\n    <FrameAdvisorContainer options={options}/>,\n    container,\n    onMount\n  );\n};\n\nconst closeFrameAdvisorComponent = () => {\n  if (!!currentContainer) {\n    ReactDOM.unmountComponentAtNode(currentContainer);\n  }\n};\n\nexport {\n  loadFrameAdvisor,\n  closeFrameAdvisorComponent\n};\n","import { RemoteLogConfig } from '@luxottica/vm-remotelog';\nimport { name, version } from '../../package.json';\nimport { RecordingError } from '../errors/errors';\n\nlet mediaRecorder: MediaRecorder;\nlet chunks: Blob[] = [];\n\nconst defaultMimeType = 'video/webm;codecs=vp9';\nconst iosMimeType = 'video/mp4';\nconst ffMimeType = 'video/webm';\nlet currentFileType: 'mp4' | 'webm';\n\nconst logger = RemoteLogConfig.getInstance().getLoggerInfo(name, version, 'RecordingHelper');\n\nconst RecordingHelper = {\n  initialize: (\n    mediaStream: MediaStream,\n    onComplete: (videoData: Blob[]) => void\n  ) => {\n    RecordingHelper.reset();\n\n    let mimeType;\n    if (MediaRecorder.isTypeSupported(defaultMimeType)) {\n      mimeType = defaultMimeType;\n      currentFileType = 'webm';\n    } else if (MediaRecorder.isTypeSupported(iosMimeType)) {\n      mimeType = iosMimeType;\n      currentFileType = 'mp4';\n    } else if (MediaRecorder.isTypeSupported(ffMimeType)) {\n      mimeType = ffMimeType;\n      currentFileType = 'webm';\n    } else {\n      throw new RecordingError('recording video mime type unsupported');\n    }\n\n    mediaRecorder = new MediaRecorder(mediaStream, { mimeType: mimeType });\n\n    mediaRecorder.onstart = () => { \n      logger.debug('media recorder started');\n     };\n\n    mediaRecorder.ondataavailable = (blobEvent: BlobEvent) => {\n      logger.debug('media recorder data available: size={} mimeType={}', blobEvent.data.size, mediaRecorder.mimeType);\n      chunks.push(blobEvent.data);\n      onComplete(chunks);\n    };\n  },\n\n  startRecording: () => {\n    if (!!mediaRecorder && mediaRecorder.state !== 'recording') {\n      mediaRecorder.start(100000000000);\n    }\n  },\n\n  stopRecording: () => {\n    if (!!mediaRecorder && mediaRecorder.state === 'recording') {\n      mediaRecorder.stop();\n    }\n  },\n\n  getFileType: (): 'webm' | 'mp4' => {\n    return (!!currentFileType) ? currentFileType : undefined;\n  },\n\n  reset: () => {\n    mediaRecorder = undefined;\n    chunks = [];\n  }\n};\n\nexport {\n  RecordingHelper\n};\n","import {\n  loginRequest, LoginReturn,\n  processImageRequest, uploadImageDataRequest, uploadImageRequest,\n  processVideoRequest, uploadVideoRequest,\n  ProfileReturn,\n  sessionRequest, SessionReturn,\n  uploadMeasurementRequest, MeasurementRequestData } from '@luxottica/vto-microservices';\nimport { getAuthData } from './AuthHelper';\nimport { CallbackHelper } from './CallbackHelper';\nimport { CONFIG } from './ConfigHelper';\nimport { RecordingHelper } from './RecordingHelper';\n\nlet videoId: string;\nlet uploadPath: string;\n\nconst RequestHelper = {\n  login: (tokenVersion: 1 | 2): Promise<LoginReturn> => {\n    return loginRequest({\n      environment: CONFIG.environment,\n      accessToken: getAuthData().accessToken,\n      refreshToken: getAuthData().refreshToken,\n      version: tokenVersion,\n      onAuthUpdated: CallbackHelper.onAuthUpdated,\n    });\n  },\n\n  startSession: (): Promise<SessionReturn> => {\n    return sessionRequest({\n      environment: CONFIG.environment,\n      accessToken: getAuthData().accessToken,\n      refreshToken: getAuthData().refreshToken,\n      onAuthUpdated: CallbackHelper.onAuthUpdated,\n      region: CONFIG.region,\n      source: CONFIG.source\n    }).then((result) => {\n      videoId = result.videoId;\n      uploadPath = result.uploadPath;\n      return result;\n    });\n  },\n\n  uploadImage: (\n    img: Blob\n  ): Promise<void> => {\n    return uploadImageRequest({\n      environment: CONFIG.environment,\n      accessToken: getAuthData().accessToken,\n      refreshToken: getAuthData().refreshToken,\n      onAuthUpdated: CallbackHelper.onAuthUpdated,\n      img: img,\n      uploadPath: uploadPath\n    });\n  },\n\n  uploadImageData: (\n    imgData: ImageData\n  ): Promise<void> => {\n    return uploadImageDataRequest({\n      environment: CONFIG.environment,\n      accessToken: getAuthData().accessToken,\n      refreshToken: getAuthData().refreshToken,\n      onAuthUpdated: CallbackHelper.onAuthUpdated,\n      imgData: imgData,\n      uploadPath: uploadPath\n    });\n  },\n\n  processImage: (\n    enableMachineLearning: boolean,\n    enableVto: boolean,\n    shouldCancel: () => boolean\n  ): Promise<ProfileReturn> => {\n    return processImageRequest({\n      environment: CONFIG.environment,\n      accessToken: getAuthData().accessToken,\n      refreshToken: getAuthData().refreshToken,\n      onAuthUpdated: CallbackHelper.onAuthUpdated,\n      videoId: videoId,\n      enableMachineLearning: enableMachineLearning,\n      enableVto: enableVto,\n      shouldCancel: shouldCancel\n    });\n  },\n\n  uploadVideo: (\n    video: Blob[]\n  ): Promise<void> => {\n    return uploadVideoRequest({\n      environment: CONFIG.environment,\n      accessToken: getAuthData().accessToken,\n      refreshToken: getAuthData().refreshToken,\n      onAuthUpdated: CallbackHelper.onAuthUpdated,\n      videoId: videoId,\n      video: video,\n      fileType: RecordingHelper.getFileType(),\n      uploadPath: uploadPath,\n    });\n  },\n\n  processVideo: (\n    enableMachineLearning: boolean,\n    enableVto: boolean,\n    shouldCancel: () => boolean\n  ): Promise<ProfileReturn> => {\n    return processVideoRequest({\n      environment: CONFIG.environment,\n      accessToken: getAuthData().accessToken,\n      refreshToken: getAuthData().refreshToken,\n      onAuthUpdated: CallbackHelper.onAuthUpdated,\n      videoId: videoId,\n      enableMachineLearning: enableMachineLearning,\n      enableVto: enableVto,\n      shouldCancel: shouldCancel\n    });\n  },\n\n  uploadMeasurement: (\n    finalComputedPD: number,\n    finalFaceBreadth: number\n  ): Promise<void> => {\n    return uploadMeasurementRequest({\n      environment: CONFIG.environment,\n      accessToken: getAuthData().accessToken,\n      refreshToken: getAuthData().refreshToken,\n      finalComputedPD,\n      finalFaceBreadth,\n      videoId: videoId,\n    });\n  }\n};\n\nexport {\n  RequestHelper,\n};\n","import { RemoteLogConfig } from '@luxottica/vm-remotelog';\nimport { name, version } from '../../../package.json';\nimport { CallbackHelper } from '../../helpers/CallbackHelper';\nimport { RequestHelper } from '../../helpers/RequestHelper';\nimport { UploadOptions } from '../../interfaces/CaptureParameters';\nimport './UploadImage.scss';\n\nconst logger = RemoteLogConfig.getInstance().getLoggerInfo(name, version, 'UploadImageData');\n\nconst uploadImageData = (\n  imageData: ImageData,\n  options: UploadOptions\n): Promise<void> => {\n  if (!!imageData) {\n    logger.debug('imageData received');\n\n    return RequestHelper.startSession().then(() => {\n      RequestHelper.uploadImageData(imageData).then(() => {\n        return RequestHelper.processImage(\n          options.enableMachineLearning,\n          options.enableVto,\n          () => { return false; }\n        );\n      }).then((result) => {\n        logger.debug('upload imageData complete');\n        CallbackHelper.onAdvisorResult({\n          ...(options.enableMachineLearning && { properties: result.properties }),\n          videoId: result.videoId\n        });\n      }).catch((error) => {\n        CallbackHelper.onCaptureError(error);\n      });\n    });\n  } else {\n    logger.warn('invalid imageData, aborting upload process');\n  }\n};\n\nexport {\n  uploadImageData,\n};\n","enum UploadStatus {\n  INITIAL = 'INITIAL',\n  ACCEPT = 'ACCEPT',\n  ACCEPT_THIRD_PARTY = 'ACCEPT_THIRD_PARTY',\n  UPLOADING = 'UPLOADING',\n  PROCESSING = 'PROCESSING',\n  ERROR = 'ERROR'\n}\n\nexport {\n  UploadStatus,\n};\n","import { RemoteLogConfig } from '@luxottica/vm-remotelog';\nimport { DeviceType } from 'current-device';\nimport React, { Component, createRef, RefObject } from 'react';\nimport { name, version } from '../../../package.json';\nimport { CallbackHelper } from '../../helpers/CallbackHelper';\nimport { LocalizationHelper } from '../../helpers/LocalizationHelper';\nimport { RequestHelper } from '../../helpers/RequestHelper';\nimport { UploadOptions } from '../../interfaces/CaptureParameters';\nimport { FrameAdvisorErrorOverlay } from '../fa-capture/FrameAdvisorErrorOverlay';\nimport { LoadingSpinner } from '../LoadingSpinner';\n\nimport './UploadImage.scss';\nimport { UploadStatus } from './UploadStatus';\n\nconst logger = RemoteLogConfig.getInstance().getLoggerInfo(name, version, 'UploadImage');\n\ninterface UploadImageProps {\n  options: UploadOptions;\n  deviceType: DeviceType;\n}\n\ninterface UploadImageState {\n  uploadStatus: UploadStatus;\n  dragOver: boolean;\n}\n\nclass UploadImage extends Component<\n  UploadImageProps,\n  UploadImageState\n> {\n\n  private mounted: boolean;\n  private imageInput: RefObject<HTMLInputElement>;\n  private currentFile: File;\n  private currentImage = new Image();\n\n  constructor(props: UploadImageProps) {\n    super(props);\n    this.imageInput = createRef();\n    this.state = {\n      uploadStatus: UploadStatus.INITIAL,\n      dragOver: false\n    };\n  }\n\n  componentDidMount() {\n    this.mounted = true;\n    document.body.addEventListener('mouseenter', this.mouseEnterHandler);\n    document.body.addEventListener('dragover', this.dragOverHandler);\n    document.body.addEventListener('dragenter', this.dragEnterHandler);\n    document.body.addEventListener('dragleave', this.dragLeaveHandler);\n    document.body.addEventListener('drop', this.windowDropHandler);\n  }\n\n  componentWillUnmount() {\n    this.mounted = false;\n    document.body.removeEventListener('mouseenter', this.mouseEnterHandler);\n    document.body.removeEventListener('dragover', this.dragOverHandler);\n    document.body.removeEventListener('dragenter', this.dragEnterHandler);\n    document.body.removeEventListener('dragleave', this.dragLeaveHandler);\n    document.body.removeEventListener('drop', this.windowDropHandler);\n  }\n\n  imageInputHandler = (e: React.FormEvent<HTMLInputElement>) => {\n    if (!!this.imageInput.current?.files?.[0]) {\n      this.generateImagePreview(this.imageInput.current?.files?.[0]);\n    }\n    e.currentTarget.value = '';\n  }\n\n  dropHandler = (e) => {\n    e.stopPropagation();\n    e.preventDefault();\n    this.setState({ dragOver: false });\n\n    let file: File;\n    if (e.dataTransfer.items && e.dataTransfer.items?.[0].kind === 'file') {\n      file = e.dataTransfer.items[0].getAsFile();\n    } else if (e.dataTransfer?.files.length > 0) {\n      file = e.dataTransfer.files[0];\n    }\n\n    if (!!file) {\n      this.generateImagePreview(file);\n    }\n  };\n\n  generateImagePreview = (file: File) => {\n    this.currentFile = file;\n    const reader = new FileReader();\n    reader.readAsDataURL(this.currentFile);\n\t\treader.onload = (e) => {\n      this.currentImage.src = e.target.result.toString();\n      this.currentImage.onload = () => {\n\n        if (!!CallbackHelper.onImageConfirm) {\n          this.setState({ uploadStatus: UploadStatus.ACCEPT_THIRD_PARTY });\n          CallbackHelper.onImageConfirm(this.currentImage.src).then((imageAccepted) => {\n            if (imageAccepted) {\n              this.sendUploadImageRequest(this.currentFile);\n            } else {\n              this.setState({ uploadStatus: UploadStatus.INITIAL });\n            }\n          });\n\n        } else {\n          this.setState({ uploadStatus: UploadStatus.ACCEPT });\n        }\n      };\n    };\n  }\n\n  windowDropHandler = (e) => {\n    e.preventDefault();\n    this.setState({ dragOver: false });\n  };\n\n  mouseEnterHandler = () => {\n    if (this.state.dragOver === true) {\n      this.setState({ dragOver: false });\n    }\n  };\n\n  dragOverHandler = (e) => {\n    e.stopPropagation();\n    e.preventDefault();\n  };\n\n  dragEnterHandler = (e) => {\n    e.stopPropagation();\n    e.preventDefault();\n    this.setState({ dragOver: true });\n  };\n\n  dragLeaveHandler = (e) => {\n    e.preventDefault();\n  };\n\n  onAcceptFile = () => {\n    this.sendUploadImageRequest(this.currentFile);\n  }\n\n  onDeclineFile = () => {\n    this.setState({\n      uploadStatus: UploadStatus.INITIAL\n    });\n  }\n\n  sendUploadImageRequest = (file: File): void => {\n    if (!!file) {\n      logger.debug(`file received: ${file.name}`);\n      logger.debug(file);\n\n      this.setState({ uploadStatus: UploadStatus.UPLOADING });\n\n      RequestHelper.startSession().then(() => {\n        RequestHelper.uploadImage(file).then(() => {\n          if (this.mounted) {\n            this.setState({ uploadStatus: UploadStatus.PROCESSING });\n            return RequestHelper.processImage(\n              this.props.options.enableMachineLearning,\n              this.props.options.enableVto,\n              () => { return !this.mounted; });\n          }\n        }).then((result) => {\n          if (this.mounted) {\n            logger.debug('upload image complete');\n            this.resetComponent();\n            CallbackHelper.onAdvisorResult({\n              ...(this.props.options.enableMachineLearning && { properties: result.properties }),\n              videoId: result.videoId\n            });\n          }\n        }).catch((error) => {\n          if (this.mounted) {\n            this.setState({ uploadStatus: UploadStatus.ERROR });\n            CallbackHelper.onCaptureError(error);\n          }\n        });\n      });\n    } else {\n      logger.warn('invalid file, aborting upload process');\n    }\n  }\n\n  resetComponent = () => {\n    this.currentFile = undefined;\n    this.currentImage = new Image();\n    this.setState({ uploadStatus: UploadStatus.INITIAL });\n  }\n\n  render() {\n    let displayText = '';\n    if (this.props.deviceType === 'mobile') {\n      displayText = LocalizationHelper.getString('upload', 'tap_to_upload');\n    } else {\n      displayText = (this.state.dragOver) ? LocalizationHelper.getString('upload', 'drop_here') : LocalizationHelper.getString('upload', 'click_or_drop');\n    }\n\n    const showLoading = (this.state.uploadStatus === UploadStatus.UPLOADING || this.state.uploadStatus === UploadStatus.PROCESSING);\n    const showImgPreview = showLoading || this.state.uploadStatus === UploadStatus.ACCEPT ||  this.state.uploadStatus === UploadStatus.ERROR;\n\n    return (\n      <div className={`upload-image ${this.props.deviceType}`}>\n        {this.state.uploadStatus === UploadStatus.INITIAL &&\n          <label id='upload-image-drop-zone' className={(this.state.dragOver ? 'drag-over' : undefined)} onDrop={this.dropHandler} htmlFor='upload-image-file'>\n            <p className='upload-image-drop-zone-text'>{displayText}</p>\n            <input type='file' accept='image/*' id='upload-image-file' name='upload-image-file' ref={this.imageInput} onChange={this.imageInputHandler}/>\n          </label>\n        }\n\n        {showImgPreview &&\n          <div className='upload-image-display'>\n            <div className='upload-image-display-image-container'>\n              <img src={this.currentImage.src}/>\n            </div>\n          </div>\n        }\n\n        {(this.state.uploadStatus === UploadStatus.ACCEPT) &&\n          <div className='upload-image-display-controls'>\n            <button className='upload-image-display-accept' onClick={this.onAcceptFile}>{LocalizationHelper.getString('upload', 'accept')}</button>\n            <button className='upload-image-display-decline' onClick={this.onDeclineFile}>{LocalizationHelper.getString('upload', 'decline')}</button>\n          </div>\n        }\n\n        <div className={`upload-image-loading${showLoading ? ' active' : ''}`}>\n          <LoadingSpinner width={300} height={300} background={true}/>\n          <div className='upload-image-loading-text'>\n            {(this.state.uploadStatus === UploadStatus.UPLOADING) ?\n              LocalizationHelper.getString('server_processing', 'image_upload') : LocalizationHelper.getString('server_processing', 'image_processing')}\n          </div>\n        </div>\n\n        <FrameAdvisorErrorOverlay\n          enabled={this.state.uploadStatus === 'ERROR'}\n          onClickOk={this.resetComponent}/>\n      </div>\n    );\n  }\n}\n\nexport {\n  UploadImage,\n};\n","import { AgreementType, BipaManager, BipaOverlay } from '@luxottica/bipa-manager';\nimport { DeviceType } from 'current-device';\nimport React, { useState } from 'react';\nimport { getAuthData } from '../../helpers/AuthHelper';\nimport { CallbackHelper } from '../../helpers/CallbackHelper';\nimport { CONFIG } from '../../helpers/ConfigHelper';\nimport { UploadOptions } from '../../interfaces/CaptureParameters';\nimport { FrameAdvisorErrorOverlay } from '../fa-capture/FrameAdvisorErrorOverlay';\nimport { UploadImage } from './UploadImage';\nimport './UploadImageContainer.scss';\n\ntype agreementStatus = 'INITIAL' | 'APPROVED' | 'REJECTED' | 'ERROR';\n\nconst UploadImageContainer = (props: {\n  options: UploadOptions,\n  deviceType: DeviceType\n}) => {\n\n  const [agreementStatus, setAgreementStatus] = useState<agreementStatus>(\n    BipaManager.biometricCookieExists(AgreementType.BIOMETRIC) ? 'APPROVED' : 'INITIAL'\n  );\n\n  let content;\n\n  switch (agreementStatus) {\n    case 'INITIAL':\n      CallbackHelper.onPrivacyDisplay();\n      content = (\n        <BipaOverlay\n          type={AgreementType.BIOMETRIC}\n          tokenVersion={CONFIG.tokenVersion}\n          accessToken={getAuthData().accessToken}\n          refreshToken={getAuthData().refreshToken}\n          environment={CONFIG.environment}\n          locale={CONFIG.locale}\n          source={CONFIG.source}\n          region={CONFIG.region}\n          callbacks={{\n            onTermsAndConditionsClick: CONFIG.privacy.onTermsAndConditionsClick,\n            onSubmit: () => {\n              // close the Privacy agreement and start the experience\n              setAgreementStatus('APPROVED');\n            },\n            onUserReject:  () => {\n              // close the Privacy agreement and BLOCK the experience\n              setAgreementStatus('REJECTED');\n              CallbackHelper.onPrivacyReject();\n            },\n            onError: (error) => {\n              setAgreementStatus('ERROR');\n              CallbackHelper.onPrivacyFail(error);\n            },\n            onAuthUpdated: CallbackHelper.onAuthUpdated\n          }} privacy={{\n            termsAndConditions: CONFIG.privacy.termsAndConditions,\n            localizationText: CONFIG.privacy?.localizationText\n          }}/>\n      );\n      break;\n    case 'APPROVED':\n      CallbackHelper.onCaptureProcess();\n      content = <UploadImage options={props.options} deviceType={props.deviceType}/>;\n      break;\n    case 'ERROR':\n      content = <FrameAdvisorErrorOverlay enabled onClickOk={() => { setAgreementStatus('INITIAL'); }} />;\n      break;\n    case 'REJECTED':\n    default:\n      content = <></>;\n      break;\n  }\n\n  return (\n    <div className='upload-image-container'>\n      {content}\n    </div>\n  );\n};\n\nexport {\n  UploadImageContainer\n};\n","import React from 'react';\nimport ReactDOM from 'react-dom';\nimport { UploadImageContainer } from './UploadImageContainer';\nimport device, { DeviceType } from 'current-device';\nimport { ROOT_STYLE_NAME } from '../../constants/Styling';\nimport { UploadOptions } from '../../interfaces/CaptureParameters';\n\nlet currentContainer;\n\nconst loadUploadImage = (\n  container: HTMLElement,\n  options: UploadOptions,\n  onMount: () => void\n) => {\n\n  currentContainer = container;\n  currentContainer.classList.add(ROOT_STYLE_NAME);\n  const deviceType: DeviceType = (device.mobile()) ? 'mobile' : 'desktop';\n\n  ReactDOM.render(\n    <UploadImageContainer options={options} deviceType={deviceType}/>,\n    container,\n    onMount\n  );\n};\n\nconst closeUploadImageComponent = () => {\n  if (!!currentContainer) {\n    ReactDOM.unmountComponentAtNode(currentContainer);\n  }\n};\n\nexport {\n  loadUploadImage,\n  closeUploadImageComponent\n};\n","import React from 'react';\nimport { LocalizationHelper } from '../../helpers/LocalizationHelper';\nimport './VtoCaptureErrorOverlay.scss';\n\nconst VtoCaptureErrorOverlay = (props: {\n  enabled: boolean,\n  onClickOk: () => void\n}) => {\n\n  return (\n    <div className={`vto-capture-error-overlay${props.enabled ? ' active' : ''}`}>\n      {props.enabled &&\n      <div className='vto-capture-error-overlay-modal'>\n        <div className='vto-capture-error-overlay-modal-header'>{LocalizationHelper.getString('vto_record', 'video_doesnt_fulfill_requirements')}</div>\n        <div className='vto-capture-error-overlay-modal-text'>{LocalizationHelper.getString('capture_error', 'subtext')}</div>\n        <button className='vto-capture-error-overlay-modal-button' onClick={props.onClickOk}>\n          {LocalizationHelper.getString('capture_error', 'button')}\n        </button>\n      </div>\n      }\n    </div>\n  );\n};\n\nexport {\n  VtoCaptureErrorOverlay\n};\n","import React from 'react';\nimport ReactDOM from 'react-dom';\nimport { ROOT_STYLE_NAME } from '../../constants/Styling';\nimport { VtoCaptureOptions } from '../../interfaces/CaptureParameters';\nimport { VtoCaptureContainer } from './VtoCaptureContainer';\n\nlet currentContainer;\n\nconst loadVtoCapture = (\n  container: HTMLElement,\n  options: VtoCaptureOptions,\n  onMount: () => void\n) => {\n  currentContainer = container;\n  currentContainer.classList.add(ROOT_STYLE_NAME);\n  ReactDOM.render(\n    <VtoCaptureContainer options={options}/>,\n    container,\n    onMount\n  );\n};\n\nconst closeVtoCaptureComponent = () => {\n  if (!!currentContainer) {\n    ReactDOM.unmountComponentAtNode(currentContainer);\n  }\n};\n\nexport {\n  loadVtoCapture,\n  closeVtoCaptureComponent\n};\n","import { AgreementType, BipaManager, BipaOverlay, BipaPage } from '@luxottica/bipa-manager';\nimport React, { lazy, Suspense, useState } from 'react';\nimport { getAuthData } from '../../helpers/AuthHelper';\nimport { CallbackHelper } from '../../helpers/CallbackHelper';\nimport { CONFIG } from '../../helpers/ConfigHelper';\nimport { VtoCaptureOptions } from '../../interfaces/CaptureParameters';\nimport { LoadingSpinner } from '../LoadingSpinner';\nimport './VtoCaptureContainer.scss';\nimport { VtoCaptureErrorOverlay } from './VtoCaptureErrorOverlay';\n\n\ntype agreementStatus = 'INITIAL' | 'APPROVED' | 'REJECTED' | 'ERROR';\n\nconst VtoCaptureContainer = (props: {\n  options: VtoCaptureOptions\n}) => {\n\n  // begin to download the capture chunk while the user is checking the privacy\n  // in case the privacy is already accepted the user will see a loading spinner\n  const lazyVtoCapturePromise = import(/* webpackChunkName: \"VtoCaptureVideo\" */ './VtoCaptureVideo')\n    .then(({ VtoCaptureVideo }) => ({ default: VtoCaptureVideo }));\n\n  // REACT.lazy wrapper used to display a spinner while loading\n  const LazyVtoCaptureVideo = lazy(() => lazyVtoCapturePromise);\n\n  const [agreementStatus, setAgreementStatus] = useState<agreementStatus>(\n    BipaManager.biometricCookieExists(AgreementType.BIOMETRIC) ? 'APPROVED' : 'INITIAL'\n  );\n\n  let content;\n\n  switch (agreementStatus) {\n    case 'INITIAL':\n      CallbackHelper.onPrivacyDisplay();\n      content = (\n        <BipaOverlay\n          type={AgreementType.BIOMETRIC}\n          tokenVersion={CONFIG.tokenVersion}\n          accessToken={getAuthData().accessToken}\n          refreshToken={getAuthData().refreshToken}\n          environment={CONFIG.environment}\n          locale={CONFIG.locale}\n          source={CONFIG.source}\n          region={CONFIG.region}\n          callbacks={{\n            onTermsAndConditionsClick: CONFIG.privacy.onTermsAndConditionsClick,\n            onDisplayPage: (page: BipaPage) => {\n              CallbackHelper.onDisplayPrivacyPage(page);\n            },\n            onSubmit: () => {\n              // close the Privacy agreement and start the experience\n              setAgreementStatus('APPROVED');\n            },\n            onUserReject: () => {\n              // close the Privacy agreement and BLOCK the experience\n              setAgreementStatus('REJECTED');\n              CallbackHelper.onPrivacyReject();\n            },\n            onError: (error) => {\n              setAgreementStatus('ERROR');\n              CallbackHelper.onPrivacyFail(error);\n            },\n            onAuthUpdated: CallbackHelper.onAuthUpdated\n          }} privacy={{\n            termsAndConditions: CONFIG.privacy.termsAndConditions,\n            localizationText: CONFIG.privacy?.localizationText\n          }}/>\n      );\n      break;\n    case 'APPROVED':\n      CallbackHelper.onCaptureProcess();\n      content = (\n        <Suspense fallback={<LoadingSpinner background={true} width={300} height={300}/>}>\n          <LazyVtoCaptureVideo options={props.options} environment={CONFIG.environment}/>\n        </Suspense>\n      );\n      break;\n    case 'ERROR':\n      content = <VtoCaptureErrorOverlay enabled onClickOk={() => { setAgreementStatus('INITIAL'); }} />;\n      break;\n    case 'REJECTED':\n    default:\n      content = <></>;\n      break;\n  }\n\n  return (\n    <div className='vto-capture-container'>\n      {content}\n    </div>\n  );\n};\n\nexport {\n  VtoCaptureContainer\n};\n","import { TrackingOptions } from '@luxottica/vm-posetracker-faceweb';\n\nconst DefaultTrackingOptions: TrackingOptions = {\n  debug: false,\n  inspect: false,\n  recoveryLimit: 1,\n  areaSize: 1,\n  areaOffset: [0, 0],\n  depthRange: [100, 2000],\n  axisRange: [7, 50, 7],\n  fittedPointsRatio: 0.25,\n  fov: 52.0,\n  minimumFaceSizeRatio: 0.3,\n  edgeDetectionPercentage: [0.15, 0.1, 0.1, 0.1], // top, right, bottom, left\n  onPoseTrack: () => { return; },\n};\n\nexport { DefaultTrackingOptions };\n","import { CaptureOptions } from '../interfaces/CaptureParameters';\nimport { DefaultTrackingOptions } from './DefaultTrackingOptions';\n\nconst DefaultCaptureOptions: CaptureOptions = {\n  enableCountdown: true,\n  countdownDuration: 3000,\n  countdownDelay: 1000,\n  tracking: DefaultTrackingOptions,\n  showLoading: true,\n  enableMachineLearning: false,\n  enableVto: true,\n};\n\nexport { DefaultCaptureOptions };\n","import { InitializeOptions } from '../interfaces/InitializeParameters';\n\nconst DefaultInitializeOptions: InitializeOptions = {\n  locale: '',\n  region: 'US',\n  source: 'WEB',\n  tokenVersion: 2,\n  showCaptureTips: false,\n  environment: 'PRODUCTION'\n};\n\nexport { DefaultInitializeOptions };\n","import { TrackingOptions } from '@luxottica/vm-posetracker-faceweb';\n\nconst DefaultTrackingOptionsPortrait: TrackingOptions = {\n  debug: false,\n  inspect: false,\n  recoveryLimit: 1,\n  areaSize: 1,\n  areaOffset: [0, 0],\n  depthRange: [100, 2000],\n  axisRange: [7, 50, 7],\n  fittedPointsRatio: 0.25,\n  fov: 52.0,\n  minimumFaceSizeRatio: 0.3,\n  edgeDetectionPercentage: [0.15, 0.1, 0.1, 0.1], // top, right, bottom, left\n  onPoseTrack: () => { return; },\n};\n\nexport { DefaultTrackingOptionsPortrait };\n","import { TrackingOptions } from '@luxottica/vm-posetracker-faceweb';\n\nconst DefaultTrackingOptionsLandscape: TrackingOptions = {\n  debug: false,\n  inspect: false,\n  recoveryLimit: 1,\n  areaSize: 1,\n  areaOffset: [0, 0],\n  depthRange: [100, 2000],\n  axisRange: [7, 50, 7],\n  fittedPointsRatio: 0.25,\n  fov: 52.0,\n  minimumFaceSizeRatio: 0.3,\n  edgeDetectionPercentage: [0.15, 0.1, 0.1, 0.1], // top, right, bottom, left\n  onPoseTrack: () => { return; },\n};\n\nexport { DefaultTrackingOptionsLandscape };\n","import { UploadOptions } from '../interfaces/CaptureParameters';\n\nconst DefaultUploadOptions: UploadOptions = {\n  showLoading: true,\n  enableMachineLearning: false,\n  enableVto: true,\n};\n\nexport { DefaultUploadOptions };\n","import { VtoCaptureOptions } from '../interfaces/CaptureParameters';\nimport { DefaultTrackingOptions } from './DefaultTrackingOptions';\n\nconst DefaultCaptureDuration = 10000;\n\nconst DefaultVtoCaptureOptions: VtoCaptureOptions = {\n  tracking: DefaultTrackingOptions,\n  showLoading: true,\n  enableMachineLearning: false,\n  enableVto: true\n};\n\nexport { DefaultCaptureDuration, DefaultVtoCaptureOptions };\n","import { DefaultCaptureOptions } from '../constants/DefaultCaptureOptions';\nimport { DefaultInitializeOptions } from '../constants/DefaultInitializeOptions';\nimport { DefaultTrackingOptions } from '../constants/DefaultTrackingOptions';\nimport { DefaultTrackingOptionsPortrait } from '../constants/DefaultTrackingOptionsPortrait';\nimport { DefaultTrackingOptionsLandscape } from '../constants/DefaultTrackingOptionsLandscape';\nimport { CaptureOptions, UploadOptions, VtoCaptureOptions } from '../interfaces/CaptureParameters';\nimport { InitializeOptions, PrivacyOptions } from '../interfaces/InitializeParameters';\nimport { InitializationParamsError } from '../errors/errors';\nimport { DefaultUploadOptions } from '../constants/DefaultUploadOptions';\nimport { DefaultVtoCaptureOptions } from '../constants/DefaultVtoCaptureOptions';\nimport device, { DeviceType } from 'current-device';\nimport { FrameAdvisorConfiguration } from '../interfaces/Config';\n\nconst setDefaultInitializeOptions = (\n  inputParams: Partial<InitializeOptions> = {}\n): InitializeOptions => {\n  // region and source are mandatory\n  if (!inputParams.region || !inputParams.source) {\n    throw new InitializationParamsError(inputParams);\n  }\n  return {\n    ...DefaultInitializeOptions,\n    ...inputParams\n  };\n};\n\nconst setDefaultCaptureOptions = (\n  inputParams: Partial<CaptureOptions> = {}\n): CaptureOptions => {\n  const deviceType: DeviceType = device.tablet() || device.mobile() ? 'mobile' : 'desktop';\n\n  return {\n    ...DefaultCaptureOptions,\n    ...inputParams,\n    tracking: {\n      ...DefaultTrackingOptions,\n      ...inputParams.tracking,\n      standstill: {\n        ...(deviceType === 'mobile' ? DefaultTrackingOptionsPortrait.standstill : DefaultTrackingOptionsLandscape.standstill),\n        ...inputParams.tracking?.standstill,\n      },\n    },\n    showLoading: (inputParams.showLoading === undefined || inputParams.showLoading === null) ? DefaultCaptureOptions.showLoading : inputParams.showLoading,\n  };\n};\n\nconst setDefaultVtoCaptureOptions = (\n  inputParams: Partial<VtoCaptureOptions> = {}\n): CaptureOptions => {\n  return {\n    ...DefaultVtoCaptureOptions,\n    ...inputParams,\n    tracking: {\n      ...DefaultTrackingOptions,\n      ...inputParams.tracking,\n      standstill: {\n        ...DefaultTrackingOptions.standstill,\n        ...inputParams.tracking?.standstill,\n      },\n    }\n  };\n};\n\nconst setDefaultUploadImageOptions = (\n  inputParams: Partial<UploadOptions> = {}\n): UploadOptions => {\n  return {\n    ...DefaultUploadOptions,\n    ...inputParams,\n    showLoading: (inputParams.showLoading === undefined || inputParams.showLoading === null) ? DefaultCaptureOptions.showLoading : inputParams.showLoading,\n  };\n};\n\nconst validatePrivacyOptions = (\n  privacy: PrivacyOptions\n): FrameAdvisorConfiguration['privacy'] => {\n  // this throws an error if the URL is not valid\n  return {\n    termsAndConditions: new URL(privacy.termsAndConditions as string ),\n    localizationText: privacy.localizationText,\n    onTermsAndConditionsClick: privacy.onTermsAndConditionsClick,\n  };\n};\n\nexport {\n  setDefaultInitializeOptions,\n  setDefaultCaptureOptions,\n  setDefaultVtoCaptureOptions,\n  setDefaultUploadImageOptions,\n  validatePrivacyOptions,\n};\n","import { DeviceDetection } from '@luxottica/vm-devicedetection';\nimport { SupportedFeatures } from '../interfaces/InitializeResult';\n\nconst SupportedFeaturesHelper = {\n  getSupportedFeatures() {\n    return new Promise<SupportedFeatures>((resolve, reject) => {\n      const devicedetection = new DeviceDetection();\n      return devicedetection.isVideoInputDeviceAvailable().then((available) => {\n        resolve({\n          wasmSupport: devicedetection.isWebAssemblySupported(),\n          webcamAccess: devicedetection.isUserMediaSupported(),\n          webcamAvailable: available\n        });\n      }).catch((error) => {\n        reject(error);\n      });\n    });\n  }\n};\n\nexport { \n  SupportedFeaturesHelper\n};\n","import { AgreementType, BipaManager, BipaPage, PrivacyLocalization } from '@luxottica/bipa-manager';\nimport { GuidanceCommand, PoseTracker } from '@luxottica/vm-posetracker-faceweb';\nimport { RemoteLog, RemoteLogConfig } from '@luxottica/vm-remotelog';\nimport { name, version } from '../package.json';\nimport { closeFrameAdvisorComponent, loadFrameAdvisor } from './components/fa-capture/FrameAdvisorLoader';\nimport { uploadImageData } from './components/upload-image/UploadImageData';\nimport { closeUploadImageComponent, loadUploadImage } from './components/upload-image/UploadImageLoader';\nimport { closeVtoCaptureComponent, loadVtoCapture } from './components/vto-capture/VtoCaptureLoader';\nimport { FrameAdvisorError, InitializationError, MountError, NotInitializedError } from './errors/errors';\nimport { resetAuthData, setAuthData } from './helpers/AuthHelper';\nimport { setCallbacks } from './helpers/CallbackHelper';\nimport { setConfig, CONFIG } from './helpers/ConfigHelper';\nimport { LocalizationHelper } from './helpers/LocalizationHelper';\nimport { setDefaultCaptureOptions, setDefaultInitializeOptions, setDefaultUploadImageOptions, setDefaultVtoCaptureOptions, validatePrivacyOptions } from './helpers/ParameterHelper';\nimport { RequestHelper } from './helpers/RequestHelper';\nimport { SupportedFeaturesHelper } from './helpers/SupportedFeaturesHelper';\nimport { CaptureParameters, FrameAdvisorProperty, FrameAdvisorResult, UploadImageDataParameters, UploadImageParameters, VtoCaptureParameters } from './interfaces/CaptureParameters';\nimport { AuthenticationOptions, FrameAdvisorCallbacks, FrameAdvisorRegion, InitializeParameters, PrivacyOptions } from './interfaces/InitializeParameters';\nimport { InitializeResult } from './interfaces/InitializeResult';\n\nconst logger = RemoteLogConfig.getInstance().getLoggerInfo(name, version, 'FrameAdvisorCapture');\nconst remoteLog: RemoteLog = new RemoteLog();\nlet initialized = false;\n\nconst onError = (e) => {\n  remoteLog.sendAppViewSession({\n    statusCode: '99-error',\n    statusText: e.message\n  });\n};\n\nconst FrameAdvisorCapture = {\n\n  version(): string {\n    return 'v' + version;\n  },\n\n  initialize(\n    initParams: InitializeParameters\n  ): Promise<InitializeResult> {\n\n    window.addEventListener('error', onError);\n    logger.debug('initializing');\n    initialized = false;\n\n    // in this world promise is a valid alternative to try/catch block\n    return Promise.resolve().then(() => {\n      const validatedParams = setDefaultInitializeOptions(initParams.options);\n      const validatedPrivacyOptions = validatePrivacyOptions(initParams.privacy);\n\n      // set a CONFIG variable to be shared with capture() method\n      setConfig(\n        validatedParams.environment,\n        validatedParams.region,\n        validatedParams.source,\n        validatedParams.locale,\n        validatedPrivacyOptions, // validate privacy URLs\n        validatedParams.tokenVersion,\n        validatedParams.showCaptureTips\n      );\n      setCallbacks(initParams.callbacks);\n      setAuthData(initParams.auth as AuthenticationOptions);\n\n      return Promise.all([\n        SupportedFeaturesHelper.getSupportedFeatures().then((features) => {\n          return {\n            locale: validatedParams.locale,\n            isSupported: features.webcamAvailable && features.webcamAccess && features.wasmSupport,\n            supportedFeatures: features\n          };\n        }),\n        RequestHelper.login(validatedParams.tokenVersion)\n      ]);\n    }).then((responseData) => {\n      // this downloads all the heavy stuff for the tracker engine\n      PoseTracker.warmUp({environment: CONFIG.environment == 'PRODUCTION' ? 'PRODUCTION' : 'TEST'});\n      return LocalizationHelper.setLocalizationText(responseData[0].locale, CONFIG.source, CONFIG.showCaptureTips, CONFIG.environment).then(() => {\n        initialized = true;\n        return {\n          locale: responseData[0].locale,\n          isSupported: responseData[0].isSupported,\n          supportedFeatures: responseData[0].supportedFeatures,\n        };\n      });\n    }).catch((e) => {\n      if (e instanceof FrameAdvisorError) {\n        throw e;\n      } else {\n        const error = new InitializationError(initParams, undefined, e);\n        logger.error(error);\n        throw error;\n      }\n    });\n  },\n\n  resetBipaState(): void {\n    document.cookie = `${BipaManager.getCookieName(AgreementType.BIOMETRIC)}=;expires=Thu, 01 Jan 1970 00:00:00 GMT;path=/`;\n  },\n\n  resetAuthToken(): void {\n    resetAuthData();\n  },\n\n  capture(\n    captureParams: CaptureParameters\n  ): Promise<void> {\n    if (!initialized) {\n      return Promise.reject(new NotInitializedError());\n    }\n\n    const validatedOptions = setDefaultCaptureOptions(captureParams.options);\n    return RequestHelper.startSession().then(() => {\n      return new Promise((resolve, reject) => {\n        const container = document.getElementById(captureParams.target);\n        if (!!container) {\n          loadFrameAdvisor(container, validatedOptions, () => { resolve(undefined); });\n        } else {\n          reject(new MountError(captureParams.target));\n        }\n      });\n    });\n  },\n\n  close(): void {\n    closeFrameAdvisorComponent();\n    window.removeEventListener('error', onError);\n  },\n\n  vtoCapture(\n    vtoCaptureParams: VtoCaptureParameters\n  ): Promise<void> {\n    if (!initialized) {\n      return Promise.reject(new NotInitializedError());\n    }\n\n    const validatedOptions = setDefaultVtoCaptureOptions(vtoCaptureParams.options);\n    return RequestHelper.startSession().then(() => {\n      return new Promise((resolve, reject) => {\n        const container = document.getElementById(vtoCaptureParams.target);\n        if (!!container) {\n          loadVtoCapture(container, validatedOptions, () => { resolve(undefined); });\n        } else {\n          reject(new MountError(vtoCaptureParams.target));\n        }\n      });\n    });\n  },\n\n  closeVtoCapture(): void {\n    closeVtoCaptureComponent();\n    window.removeEventListener('error', onError);\n  },\n\n  uploadImage(\n    uploadParams: UploadImageParameters\n  ): Promise<void> {\n    if (!initialized) {\n      return Promise.reject(new NotInitializedError());\n    }\n\n    const validatedOptions = setDefaultUploadImageOptions(uploadParams.options);\n    return new Promise((resolve, reject) => {\n      const container = document.getElementById(uploadParams.target);\n      if (!!container) {\n        loadUploadImage(container, validatedOptions, () => { resolve(undefined); });\n      } else {\n        reject(new MountError(uploadParams.target));\n      }\n    });\n  },\n\n  uploadImageData(\n    uploadParams: UploadImageDataParameters\n  ): Promise<void> {\n    if (!initialized) {\n      return Promise.reject(new NotInitializedError());\n    }\n\n    const validatedOptions = setDefaultUploadImageOptions(uploadParams.options);\n    return uploadImageData(uploadParams.imageData, validatedOptions);\n  },\n\n  closeUploadImage(): void {\n    closeUploadImageComponent();\n    window.removeEventListener('error', onError);\n  },\n};\n\nexport {\n  FrameAdvisorCapture,\n  GuidanceCommand,\n  InitializeParameters,\n  FrameAdvisorCallbacks,\n  FrameAdvisorRegion,\n  CaptureParameters,\n  FrameAdvisorResult,\n  FrameAdvisorProperty,\n  BipaPage,\n  PrivacyOptions,\n  PrivacyLocalization,\n};\n","import { MicroserviceEnvironment } from '../constants/MicroserviceEnvironment';\nimport { ApiConfig } from '../interfaces/ApiConfig';\n\nconst envHost: Record<MicroserviceEnvironment, string> = {\n  STAGING: 'https://test-gateway-vtoprofile.luxdeepblue.com',\n  ACCEPTANCE: 'https://acceptance-gateway-vtoprofile.luxdeepblue.com',\n  PRODUCTION: 'https://gateway-vtoprofile.luxdeepblue.com'\n};\n\nconst envMap: Record<MicroserviceEnvironment, ApiConfig> = {\n  STAGING: {\n    loginFaUrl: `${envHost.STAGING}/auth/fradv/token`,\n    loginVmUrl: `${envHost.STAGING}/auth/vm/token`,\n    refreshUrl: `${envHost.STAGING}/auth/refresh`,\n    bipaTextUrl: `${envHost.STAGING}/services/vtobipams/public/v2/bipa/version`,\n    bipaSubmitFormUrl: `${envHost.STAGING}/services/vtobipams/public/v1/bipa-consent`,\n    videoSessionUrl: `${envHost.STAGING}/services/vtovideoprofilems/public/v3/video`,\n    enrichUrl: `${envHost.STAGING}/services/vtovideoprofilems/public/v1/ml-enrich`,\n    vtoUrl: `${envHost.STAGING}/services/vtovideoprofilems/public/v1/basel-mesh`,\n    additionalInfoUrl: `${envHost.STAGING}/services/vtovideoprofilems/public/v1/additional-info`,\n    poseExtractionUrl: `${envHost.STAGING}/services/vtovideoprofilems/public/v1/poses-extraction`,\n    statusUrl: `${envHost.STAGING}/services/vtovideoprofilems/public/v2/status`,\n    pdStatusUrl: `${envHost.STAGING}/services/vtomedicalinfoms/public/v1/pupillary-distance/status`,\n    profileUrl: `${envHost.STAGING}/services/vtovideoprofilems/public/v3/get-video-profile`,\n    measurementUrl: `${envHost.STAGING}/services/vtomedicalinfoms/public/v2/pupillary-distance`,\n  },\n  ACCEPTANCE: {\n    loginFaUrl: `${envHost.ACCEPTANCE}/auth/fradv/token`,\n    loginVmUrl: `${envHost.ACCEPTANCE}/auth/vm/token`,\n    refreshUrl: `${envHost.ACCEPTANCE}/auth/refresh`,\n    bipaTextUrl: `${envHost.ACCEPTANCE}/services/vtobipams/public/v2/bipa/version`,\n    bipaSubmitFormUrl: `${envHost.ACCEPTANCE}/services/vtobipams/public/v1/bipa-consent`,\n    videoSessionUrl: `${envHost.ACCEPTANCE}/services/vtovideoprofilems/public/v3/video`,\n    enrichUrl: `${envHost.ACCEPTANCE}/services/vtovideoprofilems/public/v1/ml-enrich`,\n    vtoUrl: `${envHost.ACCEPTANCE}/services/vtovideoprofilems/public/v1/basel-mesh`,\n    additionalInfoUrl: `${envHost.ACCEPTANCE}/services/vtovideoprofilems/public/v1/additional-info`,\n    poseExtractionUrl: `${envHost.ACCEPTANCE}/services/vtovideoprofilems/public/v1/poses-extraction`,\n    statusUrl: `${envHost.ACCEPTANCE}/services/vtovideoprofilems/public/v2/status`,\n    pdStatusUrl: `${envHost.ACCEPTANCE}/services/vtomedicalinfoms/public/v1/pupillary-distance/status`,\n    profileUrl: `${envHost.ACCEPTANCE}/services/vtovideoprofilems/public/v3/get-video-profile`,\n    measurementUrl: `${envHost.ACCEPTANCE}/services/vtomedicalinfoms/public/v2/pupillary-distance`,\n  },\n  PRODUCTION: {\n    loginFaUrl: `${envHost.PRODUCTION}/auth/fradv/token`,\n    loginVmUrl: `${envHost.PRODUCTION}/auth/vm/token`,\n    refreshUrl: `${envHost.PRODUCTION}/auth/refresh`,\n    bipaTextUrl: `${envHost.PRODUCTION}/services/vtobipams/public/v2/bipa/version`,\n    bipaSubmitFormUrl: `${envHost.PRODUCTION}/services/vtobipams/public/v1/bipa-consent`,\n    videoSessionUrl: `${envHost.PRODUCTION}/services/vtovideoprofilems/public/v3/video`,\n    enrichUrl: `${envHost.PRODUCTION}/services/vtovideoprofilems/public/v1/ml-enrich`,\n    vtoUrl: `${envHost.PRODUCTION}/services/vtovideoprofilems/public/v1/basel-mesh`,\n    additionalInfoUrl: `${envHost.PRODUCTION}/services/vtovideoprofilems/public/v1/additional-info`,\n    poseExtractionUrl: `${envHost.PRODUCTION}/services/vtovideoprofilems/public/v1/poses-extraction`,\n    statusUrl: `${envHost.PRODUCTION}/services/vtovideoprofilems/public/v2/status`,\n    pdStatusUrl: `${envHost.PRODUCTION}/services/vtomedicalinfoms/public/v1/pupillary-distance/status`,\n    profileUrl: `${envHost.PRODUCTION}/services/vtovideoprofilems/public/v3/get-video-profile`,\n    measurementUrl: `${envHost.PRODUCTION}/services/vtomedicalinfoms/public/v2/pupillary-distance`,\n  }\n};\n\nconst getConfig = (env: MicroserviceEnvironment, param: keyof ApiConfig): string => {\n  return envMap[env][param];\n};\n\nexport {\n  getConfig\n};\n","class MicroserviceError extends Error {\n  public type: string;\n\n  constructor(type: string, message: string, error?: Error) {\n    super(message);\n    this.type = type;\n    this.name = type;\n    this.message = message;\n    this.stack = error?.stack;\n\n    Object.setPrototypeOf(this, MicroserviceError.prototype);\n  }\n}\n\nclass EnvironmentError extends MicroserviceError {\n  public static type = 'EnvironmentError';\n\n  constructor(readonly env: string) {\n    super(EnvironmentError.type, `microservice environment ${env} is not valid`);\n    Object.setPrototypeOf(this, EnvironmentError.prototype);\n  }\n}\n\nclass InvalidInputError extends MicroserviceError {\n  public static type = 'InputError';\n\n  constructor(message: string, error?: Error) {\n    super(InvalidInputError.type, message, error);\n    Object.setPrototypeOf(this, InvalidInputError.prototype);\n  }\n}\n\nclass LocaleError extends MicroserviceError {\n  public static type = 'LocaleError';\n\n  constructor(readonly locale: string) {\n    super(LocaleError.type, `bipa agreement text cannot be found for locale ${locale}`);\n    Object.setPrototypeOf(this, LocaleError.prototype);\n  }\n}\n\nclass RequestError extends MicroserviceError {\n  public static type = 'RequestError';\n\n  constructor(message: string, error?: Error) {\n    super(RequestError.type, message, error);\n    Object.setPrototypeOf(this, RequestError.prototype);\n  }\n}\n\nclass TimeoutError extends MicroserviceError {\n  public static type = 'TimeoutError';\n\n  constructor(duration: number) {\n    super(TimeoutError.type, `request has timed out after ${duration}ms`);\n    Object.setPrototypeOf(this, TimeoutError.prototype);\n  }\n}\n\nexport {\n  InvalidInputError,\n  EnvironmentError,\n  LocaleError,\n  RequestError,\n  TimeoutError\n};\n","import { RemoteLogConfig } from '@luxottica/vm-remotelog';\nimport { name, version } from '../../package.json';\nimport { TimeoutError } from '../error/errors';\nimport { VtoRequest } from '../interfaces/Request';\n\nconst logger = RemoteLogConfig.getInstance().getLoggerInfo(name, version, 'RequestHelper');\n\nfunction delay(ms: number) {\n  return new Promise(\n    resolve => setTimeout(resolve, ms)\n  );\n}\n\nconst pollPromise = <T>(\n  interval: number,\n  timeout: number,\n  promise: () => Promise<T>,\n  shouldCancel: () => boolean\n): Promise<T> => {\n  let completed = false;\n  const startTime = Date.now();\n  return new Promise(async (resolve, reject) => {\n\n    while (true) {\n      if (completed) { return; }\n      if (shouldCancel()) { return; }\n      if (Date.now() - startTime > timeout) { reject(new TimeoutError(timeout)); return; }\n\n      await promise().then((result) => {\n        completed = true;\n        resolve(result);\n      }).catch(() => {\n        logger.debug('continue poll');\n      });\n\n      await delay(interval);\n    }\n  });\n};\n\nconst pollProcessingStatus = (\n  request: VtoRequest,\n  url: string,\n  entryTypes: string[]\n): Promise<boolean> => {\n  \n  return fetch(url, {\n    method: 'GET',\n    headers: {\n      Authorization: `Bearer ${request.accessToken}`,\n      'accept': '*/*',\n    },\n  }).then(response => {\n    if (response.ok) {\n      return response.json();\n    } else {\n      throw new Error('FAILED POLL');\n    }\n  }).then((json: PollingResponse) => {\n    logger.debug(json);\n    const pollingEntry = json.filter((entry) => { return entryTypes.includes(entry.type); });\n    if (pollingEntry.length > 0) {\n      // complete when all entries have a result or any entry is KO\n      const complete = pollingEntry.every(entry => ['OK', 'KO'].includes(entry.progress))\n        || pollingEntry.some(entry => entry.progress === 'KO');\n      const success = pollingEntry.every(entry => entry.progress === 'OK');\n      if (complete) {\n        return success;\n      } else {\n        throw new Error('processing incomplete');\n      }\n    } else {\n      throw new Error('processing incomplete');\n    }\n  }).catch(err => {\n    logger.debug(err);\n    throw(err);\n  });\n};\n\nconst parseJsonResponse = (\n  response: Response\n): Promise<any> => {\n  if (response.ok) {\n    return response.json();\n  } else {\n    return response.json().catch(() => {\n      throw new Error(`${response.status}: ${response.statusText}`);\n    }).then((json) => {\n      throw new Error(JSON.stringify(json));\n    });\n  }\n};\n\nexport {\n  pollPromise,\n  pollProcessingStatus,\n  parseJsonResponse\n};\n","import { getConfig } from '../config/Config';\nimport { RefreshResponse, RefreshReturn } from '../interfaces/Refresh';\nimport { VtoRequest } from '../interfaces/Request';\n\nconst refreshRequest = (\n  request: VtoRequest\n): Promise<RefreshReturn> => {\n\n  const url = getConfig(request.environment, 'refreshUrl');\n  return fetch(url, {\n    method: 'POST',\n    headers: {\n      'Accept': '*/*',\n      'Content-Type': 'application/json',\n    },\n    body: JSON.stringify({\n      refresh_token: request.refreshToken\n    })\n\n  }).then(response => {\n    if (response.ok) {\n      return response.json();\n    } else {\n      return response.json().catch(() => {\n        throw new Error(`${response.status}: ${response.statusText}`);\n      }).then((json) => {\n        throw new Error(JSON.stringify(json));\n      });\n    }\n\n  }).then((json: RefreshResponse) => {\n    // logger.debug(json);\n    const refreshReturn = {\n      accessToken: json.access_token,\n      refreshToken: json.refresh_token\n    };\n    if (!!request.onAuthUpdated) { request.onAuthUpdated(refreshReturn); }\n    return refreshReturn;\n\n  }).catch(err => {\n    // logger.error(err);\n    throw(err);\n\n  });\n};\n\nexport {\n  refreshRequest\n};\n","import { getConfig } from '../config/Config';\nimport { ProfileRequestData, ProfileResponse, ProfileReturn } from '../interfaces/Profile';\nimport { refreshRequest } from './RefreshRequest';\n\nconst profileFetch = (\n  request: ProfileRequestData\n): Promise<Response> => {\n  const url = getConfig(request.environment, 'profileUrl');\n\n  return fetch(`${url}/${request.videoId}`, {\n    method: 'GET',\n    headers: {\n      'Accept': '*/*',\n      'Content-Type': 'application/json',\n      Authorization: `Bearer ${request.accessToken}`\n    }\n  });\n};\n\nconst profileRequest = (\n  request: ProfileRequestData\n): Promise<ProfileReturn> => {\n\n  return profileFetch(request).then((profileResponse) => {\n    if (profileResponse.status === 401) {\n      return refreshRequest(request).then((refreshResponse) => {\n        return profileFetch({\n          ...request,\n          accessToken: refreshResponse.accessToken,\n          refreshToken: refreshResponse.refreshToken\n        });\n      });\n    } else {\n      return profileResponse;\n    }\n\n  }).then((response) => {\n    if (response.ok) {\n      return response.json();\n    } else {\n      return response.json().catch(() => {\n        throw new Error(`${response.status}: ${response.statusText}`);\n      }).then((json) => {\n        throw new Error(JSON.stringify(json));\n      });\n    }\n\n  }).then((json: ProfileResponse) => {\n    const result: ProfileReturn = {};\n    result['properties'] = json.mlInformations;\n    result['videoId'] = json.uuid;\n    return result;\n\n  });\n};\n\nexport {\n  profileRequest\n};","import { getConfig } from '../config/Config';\nimport { InvalidInputError, RequestError } from '../error/errors';\nimport { pollProcessingStatus, pollPromise } from '../helpers/RequestHelper';\nimport { ProcessImageRequestData, UploadImageDataRequestData, UploadImageRequestData, UploadImageResponse, UploadImageReturn } from '../interfaces/Image';\nimport { ProfileReturn } from '../interfaces/Profile';\nimport { profileRequest } from './ProfileRequest';\nimport { refreshRequest } from './RefreshRequest';\n\nconst uploadImageFetch = (\n  request: UploadImageRequestData\n): Promise<Response> => {\n\n  const form = new FormData();\n  form.append('file', new File([request.img], 'take0.jpg', { type: 'image/jpeg' }));\n\n  return fetch(`${request.uploadPath}/take0.jpg`, {\n    method: 'POST',\n    headers: {\n      'Accept': '*/*',\n      Authorization: `Bearer ${request.accessToken}`\n    },\n    body: form\n  });\n};\n\nconst processImageFetch = (\n  request: ProcessImageRequestData\n): Promise<Array<Response | undefined>> => {\n  const mlUrl = getConfig(request.environment, 'enrichUrl');\n  const vtoUrl = getConfig(request.environment, 'vtoUrl');\n\n  return Promise.all([\n    (request.enableMachineLearning) ? fetch(mlUrl, {\n      method: 'POST',\n      headers: {\n        'Accept': '*/*',\n        'Content-Type': 'application/json',\n        Authorization: `Bearer ${request.accessToken}`\n      },\n      'body': `{ \"uuid\": \"${request.videoId}\" }`\n    }): undefined,\n    (request.enableVto) ? fetch(vtoUrl, {\n      method: 'POST',\n      headers: {\n        'Accept': '*/*',\n        'Content-Type': 'application/json',\n        Authorization: `Bearer ${request.accessToken}`\n      },\n      'body': `{ \"uuid\": \"${request.videoId}\" }`\n    }) : undefined\n  ]);\n};\n\nconst uploadImageRequest = (\n  request: UploadImageRequestData\n): Promise<void> => {\n\n  return uploadImageFetch(request).then((uploadImageResponse) => {\n    if (uploadImageResponse.status === 401) {\n      return refreshRequest(request).then((refreshResponse) => {\n        return uploadImageFetch({\n          ...request,\n          accessToken: refreshResponse.accessToken,\n          refreshToken: refreshResponse.refreshToken\n        });\n      });\n    } else {\n      return uploadImageResponse;\n    }\n  }).then((response) => {\n    if (response.ok) {\n      return;\n    } else {\n      return response.json().catch(() => {\n        throw new Error(`${response.status}: ${response.statusText}`);\n      }).then((json) => {\n        throw new Error(JSON.stringify(json));\n      });\n    }\n  });\n};\n\nconst uploadImageDataRequest = (\n  request: UploadImageDataRequestData\n): Promise<void> => {\n\n  return new Promise<Blob>((resolve, reject) => {\n    const w = request.imgData.width;\n    const h = request.imgData.height;\n  \n    const canvas = document.createElement('canvas');\n    canvas.width = w;\n    canvas.height = h;\n  \n    const ctx = canvas.getContext('2d');\n    if (!!ctx) {\n      ctx.putImageData(request.imgData, 0, 0);\n      canvas.toBlob((blob) => {\n        if (!!blob) {\n          resolve(blob);\n        } else {\n          reject(new RequestError('failed to extract image from canvas'));\n        }\n      }, 'image/jpeg', 0.95);\n      \n    } else {\n      reject(new RequestError('failed to extract image from canvas'));\n    }\n  }).then((imgBlob) => {\n    return uploadImageRequest({\n      ...request,\n      img: imgBlob\n    });\n  });\n};\n\nconst processImageRequest = (\n  request: ProcessImageRequestData\n): Promise<ProfileReturn> => {\n\n  if (!request.enableMachineLearning && !request.enableVto) {\n    return Promise.reject(new InvalidInputError('enableMachineLearning and enableVto cannot both be set to false'));\n  }\n\n  return processImageFetch(request).then((processImageResponse) => {\n    if ((!!processImageResponse[0] && processImageResponse[0].ok && processImageResponse[0].status === 401)\n    || (!!processImageResponse[1] && processImageResponse[1].ok && processImageResponse[1].status === 401)) {\n      return refreshRequest(request).then((refreshResponse) => {\n        return processImageFetch({\n          ...request,\n          accessToken: refreshResponse.accessToken,\n          refreshToken: refreshResponse.refreshToken\n        });\n      });\n    } else {\n      return processImageResponse;\n    }\n\n  }).then((response) => {\n    if ((response[0] === undefined || response[0].ok)\n    && (response[1] === undefined || response[1].ok)) {\n\n      const promises: Promise<boolean>[] = [];\n      const entries: string[] = [];\n\n      if (request.enableVto) {\n        entries.push('BASEL_MESH');\n      }\n\n      if (request.enableMachineLearning) {\n        entries.push('ML_INFORMATION');\n\n        const pdStatusUrl = `${getConfig(request.environment, 'pdStatusUrl')}/${request.videoId}` ;\n        promises.push(pollPromise(\n          1000,\n          30000,\n          () => pollProcessingStatus(request, pdStatusUrl, ['PD']),\n          request.shouldCancel\n        ));\n      }\n\n      const statusUrl = `${getConfig(request.environment, 'statusUrl')}/${request.videoId}` ;\n      promises.push(pollPromise(\n        1000,\n        30000,\n        () => pollProcessingStatus(request, statusUrl, entries),\n        request.shouldCancel\n      ));\n\n      return Promise.all(promises).then(results => results.every(result => !!result));\n\n    } else {\n      throw new RequestError(`failed to poll status with sessionId=${request.videoId}`);\n    }\n\n  }).then((success) => {\n    if (success) {\n      return profileRequest(request);\n    } else {\n      throw new RequestError(`failed to poll status with sessionId=${request.videoId}`);\n    }\n  });\n};\n\nexport {\n  uploadImageRequest,\n  uploadImageDataRequest,\n  processImageRequest\n};","import { getConfig } from '../config/Config';\nimport { LoginRequestData, LoginResponse, LoginReturn } from '../interfaces/Login';\n\nconst loginRequest = (\n  request: LoginRequestData\n): Promise<LoginReturn> => {\n\n  if (!!request.accessToken && !!request.refreshToken) {\n    return Promise.resolve({\n      accessToken: request.accessToken,\n      refreshToken: request.refreshToken\n    });\n\n  } else {\n    const loginType = (request.version === 1) ? 'loginVmUrl' : 'loginFaUrl';\n    const url = getConfig(request.environment, loginType);\n    return fetch(url, {\n      method: 'POST',\n      headers: {\n        'Accept': '*/*',\n        'Content-Type': 'application/json',\n      },\n      body: JSON.stringify({ rememberMe: true })\n    }).then((response) => {\n      if (response.ok) {\n        return response.json();\n      } else {\n        return response.json().catch(() => {\n          throw new Error(`${response.status}: ${response.statusText}`);\n        }).then((json) => {\n          throw new Error(JSON.stringify(json));\n        });\n      }\n    }).then((json: LoginResponse) => {\n      const authData = {\n        accessToken: json.access_token,\n        refreshToken: json.refresh_token\n      };\n      request.onAuthUpdated?.(authData);\n      return authData;\n    });\n  }\n};\n\nexport {\n  loginRequest\n};","import { getConfig } from '../config/Config';\nimport { SessionRequestData, SessionResponse, SessionReturn } from '../interfaces/Session';\nimport { refreshRequest } from './RefreshRequest';\n\nconst sessionFetch = (\n  request: SessionRequestData\n): Promise<Response> => {\n\n  const url = getConfig(request.environment, 'videoSessionUrl');\n  return fetch(url, {\n    method: 'POST',\n    headers: {\n      'Accept': '*/*',\n      'Content-Type': 'application/json',\n      Authorization: `Bearer ${request.accessToken}`,\n    },\n    body: `{ \"region\": \"${request.region}\", \"source\": \"${request.source}\"}`\n  });\n};\n\nconst sessionRequest = (\n  request: SessionRequestData\n): Promise<SessionReturn> => {\n\n  return sessionFetch(request).then((sessionResponse) => {\n    if (sessionResponse.status === 401) {\n      return refreshRequest(request).then((refreshResponse) => {\n        return sessionFetch({\n          ...request,\n          accessToken: refreshResponse.accessToken,\n          refreshToken: refreshResponse.refreshToken\n        });\n      });\n    } else {\n      return sessionResponse;\n    }\n  }).then((response) => {\n    if (response.ok) {\n      return response.json();\n    } else {\n      return response.json().catch(() => {\n        throw new Error(`${response.status}: ${response.statusText}`);\n      }).then((json) => {\n        throw new Error(JSON.stringify(json));\n      });\n    }\n  }).then((json: SessionResponse) => {\n    return {\n      videoId: json.uuid,\n      uploadPath: json.uploadBasePath,\n    };\n  });\n};\n\nexport {\n  sessionRequest\n};","import { getConfig } from '../config/Config';\nimport { MeasurementRequestData } from '../interfaces/Measurement';\n\nconst uploadMeasurementRequest = (\n  request: MeasurementRequestData\n): Promise<void> => {\n\n  const url = getConfig(request.environment, 'measurementUrl') + '/' + request.videoId;\n  return fetch(url, {\n    method: 'PUT',\n    headers: {\n      'Accept': '*/*',\n      'Content-Type': 'application/json',\n      Authorization: `Bearer ${request.accessToken}`\n    },\n    body: JSON.stringify({\n      finalComputedPD: request.finalComputedPD,\n      finalFaceBreadth: request.finalFaceBreadth,\n      irisFaceBreadth: 0,\n      irisRawPD: 0\n    })\n  })\n  .then((response) => {\n    if (response.ok) {\n      return;\n    } else {\n      throw new Error(`${response.status}: ${response.statusText}`);\n    }\n  });\n};\n\nexport {\n  uploadMeasurementRequest\n};","import { getConfig } from '../config/Config';\nimport { InvalidInputError, RequestError } from '../error/errors';\nimport { pollProcessingStatus, pollPromise } from '../helpers/RequestHelper';\nimport { ProfileReturn } from '../interfaces/Profile';\nimport { ProcessVideoRequestData, UploadVideoRequestData } from '../interfaces/Video';\nimport { profileRequest } from './ProfileRequest';\nimport { refreshRequest } from './RefreshRequest';\n\nconst uploadVideoFetch = (\n  request: UploadVideoRequestData\n): Promise<Response> => {\n\n  const form = new FormData();\n  const mimeType = `video/${request.fileType}`;\n  form.append('file', new File(request.video, `videoTake.${request.fileType}`, { type: mimeType }));\n\n  return fetch(`${request.uploadPath}/videoTake.${request.fileType}`, {\n    method: 'POST',\n    headers: {\n      'Accept': '*/*',\n      Authorization: `Bearer ${request.accessToken}`,\n    },\n    body: form\n  }).then(response => {\n    const url = getConfig(request.environment, 'additionalInfoUrl');\n\n    if (response.ok) {\n      return fetch(`${url}/${request.videoId}`, {\n        method: 'PUT',\n        headers: {\n          'Accept': '*/*',\n          'Content-Type': 'application/json',\n          Authorization: `Bearer ${request.accessToken}`,\n        },\n        'body': `{ \"mimeType\": \"${mimeType}\" }`\n      });\n    } else {\n      const e = new Error('failed to upload');\n      throw e;\n    }\n  });\n};\n\nconst processVideoFetch = (\n  request: ProcessVideoRequestData\n): Promise<Array<Response | undefined>> => {\n  const mlUrl = getConfig(request.environment, 'enrichUrl');\n  const vtoUrl = getConfig(request.environment, 'poseExtractionUrl');\n\n  return Promise.all([\n    (request.enableMachineLearning) ? fetch(mlUrl, {\n      method: 'POST',\n      headers: {\n        'Accept': '*/*',\n        'Content-Type': 'application/json',\n        Authorization: `Bearer ${request.accessToken}`\n      },\n      'body': `{ \"uuid\": \"${request.videoId}\" }`\n    }): undefined,\n    (request.enableVto) ? fetch(vtoUrl, {\n      method: 'POST',\n      headers: {\n        'Accept': '*/*',\n        'Content-Type': 'application/json',\n        Authorization: `Bearer ${request.accessToken}`\n      },\n      'body': `{ \"uuid\": \"${request.videoId}\" }`\n    }) : undefined\n  ]);\n};\n\nconst uploadVideoRequest = (\n  request: UploadVideoRequestData\n): Promise<void> => {\n\n  return uploadVideoFetch(request).then((uploadVideoResponse) => {\n    if (uploadVideoResponse.status === 401) {\n      return refreshRequest(request).then((refreshResponse) => {\n        return uploadVideoFetch({\n          ...request,\n          accessToken: refreshResponse.accessToken,\n          refreshToken: refreshResponse.refreshToken\n        });\n      });\n    } else {\n      return uploadVideoResponse;\n    }\n  }).then((response) => {\n    if (response.ok) {\n      return;\n    } else {\n      return response.json().catch(() => {\n        throw new Error(`${response.status}: ${response.statusText}`);\n      }).then((json) => {\n        throw new Error(JSON.stringify(json));\n      });\n    }\n  });\n};\n\nconst processVideoRequest = (\n  request: ProcessVideoRequestData\n): Promise<ProfileReturn> => {\n\n  if (!request.enableMachineLearning && !request.enableVto) {\n    return Promise.reject(new InvalidInputError('enableMachineLearning and enableVto cannot both be set to false'));\n  }\n\n  return processVideoFetch(request).then((processVideoResponse) => {\n    if ((!!processVideoResponse[0] && processVideoResponse[0].ok && processVideoResponse[0].status === 401)\n    || (!!processVideoResponse[1] && processVideoResponse[1].ok && processVideoResponse[1].status === 401)) {\n      return refreshRequest(request).then((refreshResponse) => {\n        return processVideoFetch({\n          ...request,\n          accessToken: refreshResponse.accessToken,\n          refreshToken: refreshResponse.refreshToken\n        });\n      });\n    } else {\n      return processVideoResponse;\n    }\n\n  }).then((response) => {\n    if ((response[0] === undefined || response[0].ok)\n    && (response[1] === undefined || response[1].ok)) {\n\n      const promises: Promise<boolean>[] = [];\n      const entries: string[] = ['POSES_EXTRACTION'];\n\n      if (request.enableVto) {\n        entries.push('BASEL_MESH');\n      }\n\n      if (request.enableMachineLearning) {\n        entries.push('ML_INFORMATION');\n\n        const pdStatusUrl = `${getConfig(request.environment, 'pdStatusUrl')}/${request.videoId}` ;\n        promises.push(pollPromise(\n          1000,\n          30000,\n          () => pollProcessingStatus(request, pdStatusUrl, ['PD']),\n          request.shouldCancel\n        ));\n      }\n\n      const statusUrl = `${getConfig(request.environment, 'statusUrl')}/${request.videoId}` ;\n      promises.push(pollPromise(\n        1000,\n        30000,\n        () => pollProcessingStatus(request, statusUrl, entries),\n        request.shouldCancel\n      ));\n\n      return Promise.all(promises).then(results => results.every(result => !!result));\n\n    } else {\n      throw new RequestError(`failed to poll status with sessionId=${request.videoId}`);\n    }\n\n  }).then((success) => {\n    if (success) {\n      return profileRequest(request);\n    } else {\n      throw new RequestError(`failed to poll status with sessionId=${request.videoId}`);\n    }\n  });\n};\n\nexport {\n  uploadVideoRequest,\n  processVideoRequest\n};\n","export enum GuidanceCommand {\n  NONE = 7,\n  UNKNOWN = 8,\n  MOVE_CENTER = 9,\n  MOVE_CLOSER = 10,\n  MOVE_FARTHER = 11,\n  MOVE_UP = 12,\n  MOVE_RIGHT = 13,\n  MOVE_DOWN = 14,\n  MOVE_LEFT = 15,\n  LOOK_UP = 16,\n  LOOK_RIGHT = 17,\n  LOOK_DOWN = 18,\n  LOOK_LEFT = 19,\n  TILT_LEFT = 20,\n  TILT_RIGHT = 21,\n  STAY_STILL = 22\n}\n","export const envToConfigUrl = new Map([\n  ['TEST', 'https://vmcore-test.luxottica.com/headtracker/mp-tf/0.0.0/'],\n  ['PRODUCTION', 'https://vmcore.luxottica.com/headtracker/mp-tf/0.0.0/']\n]);\n","//import { IFaceMetrics } from \"@luxottica/face-web/faceRegions\";\nexport enum TrackResult {\n  OK = 0,\n  LostWillTryRecovery = -3,\n  LostWillReset = -4,\n  FaceFittingTooNarrow = -5,\n  AnglesOutOfRange = -6,\n  NoFaceFound = -10,\n  FaceTooSmallDetected = -11,\n  FaceDetectedWaitForMoreSamples = -12,\n  TrackerStopped = -20\n}\n","import {\n  Defect,\n  FaceWebResult,\n  IFaceMetrics,\n  InputMap\n} from '@luxottica/face-web';\nimport type { FaceWeb, RulerStatus, DefectType } from '@luxottica/face-web';\nimport { GuidanceCommand } from './interfaces/GuidanceCommand';\n\nimport { envToConfigUrl } from './constants/envToConfigUrl';\nimport { formatPose, FormattedPose } from './Helper';\nimport { PoseResponse } from './interfaces/PoseResponse';\nimport { FilterOptions, TrackingOptions } from './interfaces/TrackingOptions';\nimport { TrackResult } from './interfaces/TrackResult';\nimport { WasmCapabilities } from './interfaces/WasmCapabilities';\nimport { FacewebEnvironment } from './interfaces/FaceWebEnvironment';\n\nclass PoseTracker {\n\n  private static faceWeb: FaceWeb;\n  private static initializationPromise: Promise<void>;\n  private ready = false;\n  private metricsSubscribers = new Array<(IFaceMetrics)=>void>();\n  private container: HTMLDivElement;\n  private pupillaryDistance: number;\n  private faceBreadth: number;\n  private faceBreadth2: number;\n  private inspector: boolean;\n\n  constructor(\n    processingVerticalFoVDeg: number,\n    filter: FilterOptions,\n    environment: FacewebEnvironment,\n    onWasmLoaded: () => void,\n    onFail?: () => void,\n    debugFeatures?: boolean\n  ) {\n\n    PoseTracker.warmUp({\n      verticalFovDeg: processingVerticalFoVDeg,\n      environment: environment\n    }).then(() => {\n      PoseTracker.initializationPromise.then(()=>{\n        this.ready = true;\n        onWasmLoaded();\n      });\n    }).catch(()=>{\n      onFail();\n    });\n\n    if(debugFeatures){\n      (window as any).VMPTFaceMeasurementInspector = (value = true) => {\n        this.updateInspector(value);\n      };\n    }\n\n    if (filter) {\n      this.setFilters(filter);\n    }\n  }\n\n  private updateInspector(show: boolean){\n    this.inspector = show;\n    if(this.container)\n      this.container.remove();\n    \n    if(show === false){\n      return;\n    }\n\n    this.container     = document.createElement('div');\n    const p            = document.createElement('p');\n    p.style.position   = 'fixed';\n    p.style.bottom     = '50vh';\n    p.style.left       = '1vw';\n    p.style.background = 'rgba(255,255,255,.5)';\n\n    p.appendChild(document.createElement('br'));\n    p.appendChild(document.createElement('br'));\n    p.innerHTML = `\npupillary distance: ${this.pupillaryDistance}\n<br>\nface breadth: ${this.faceBreadth}\n<br>\nface breadth2: ${this.faceBreadth2}\n    `;\n    this.container.appendChild(p);\n    document.body.appendChild(this.container);\n  }\n\n  public setFps(fps: number){\n    PoseTracker.faceWeb.fps = fps;\n  }\n\n  public setFilters(filter: FilterOptions): void {\n    if (filter?.rotationFilter) {\n      PoseTracker.faceWeb.rotationFilter = filter.rotationFilter;\n    }\n    if (filter?.translationFilter) {\n      PoseTracker.faceWeb.translationFilter = filter.translationFilter;\n    }\n  }\n\n  public reset(): void{\n    PoseTracker.faceWeb.reset();\n  }\n\n  public formatPose = (pose: Float32Array) => {\n    return formatPose(pose);\n  };\n\n  public set enableProminentSubjectSegmenter(value: boolean) {\n    PoseTracker.faceWeb.enableProminentSubjectSegmenter = value;\n  }\n\n  public static warmUp(options: {verticalFovDeg?: number, environment: FacewebEnvironment}): Promise<void> {\n    return import('@luxottica/face-web')\n    .then(({FaceWeb}) => {\n      if (PoseTracker.faceWeb === undefined) {\n        PoseTracker.faceWeb = new FaceWeb({\n          verticalFovDeg: options.verticalFovDeg ?? 52,\n          assetsDir: envToConfigUrl.get(options.environment ?? 'TEST')\n        });\n        PoseTracker.faceWeb.usePoseSmoothing = true;\n        PoseTracker.faceWeb.enableProminentSubjectSegmenter = false;\n        PoseTracker.faceWeb.useLandmarksSmoothing = true;\n        PoseTracker.faceWeb.velocityFilter = {\n          windowSize: 15,\n          velocityScale: 0.25,\n        };\n        PoseTracker.faceWeb.translationFilter.velocityFilter = {\n          windowSize: 5,\n          velocityScale: 0.3,\n        };\n        PoseTracker.faceWeb.rotationFilter.velocityFilter = {\n          windowSize: 5,\n          velocityScale: 0.6,\n        };\n  \n        PoseTracker.initializationPromise = PoseTracker.faceWeb.initialize();\n  \n      } else {\n        PoseTracker.faceWeb.verticalFovDeg = options.verticalFovDeg;\n      }\n    });\n  }\n\n  public isReady(): boolean {\n    return this.ready;\n  }\n\n  public usePoseSmoothing(smoothing: boolean){\n    PoseTracker.faceWeb.usePoseSmoothing = smoothing;\n  }\n\n  public useLandmarksSmoothing(smoothing: boolean){\n    PoseTracker.faceWeb.useLandmarksSmoothing = smoothing;\n  }\n\n  public initMetrics(irisDiameterMM, historySize): Promise<void>{\n    const config = {\n      yawLimitDeg: 15,\n      pitchLimitDeg: 15,\n      pupilMinPx: 10,\n      yawMaxDeg: 15,\n      pitchMaxDeg: 15\n    };\n    //if(irisDiameterMM !== undefined && historySize !== undefined)\n    PoseTracker.faceWeb.startRuler({irisDiameterMM: 12.2, outlierDetectorConfig: config});\n    //else\n    //PoseTracker.faceWeb.startRuler();\n    return Promise.resolve();\n  }\n\n  public getMetrics(): Promise<IFaceMetrics> {\n    return new Promise((resolve, reject)=>{\n      this.metricsSubscribers.push(resolve);\n    });\n  }\n\n  checkDefectsVM(pose){\n    const rotationBound = 0.2;\n    const xyBound = 30;\n    const loopData = [\n      {lBound: -rotationBound, hBound: rotationBound, value: pose[0], lCommand: GuidanceCommand.LOOK_DOWN,    hCommand: GuidanceCommand.LOOK_UP},\n      {lBound: -rotationBound, hBound: rotationBound, value: pose[1], lCommand: GuidanceCommand.LOOK_RIGHT,    hCommand: GuidanceCommand.LOOK_LEFT},\n      {lBound: -rotationBound, hBound: rotationBound, value: pose[2], lCommand: GuidanceCommand.TILT_LEFT,    hCommand: GuidanceCommand.TILT_RIGHT},\n      {lBound: -xyBound,       hBound: xyBound,       value: pose[3], lCommand: GuidanceCommand.MOVE_LEFT,    hCommand: GuidanceCommand.MOVE_RIGHT},\n      {lBound: -xyBound,       hBound: xyBound,       value: pose[4], lCommand: GuidanceCommand.MOVE_UP,      hCommand: GuidanceCommand.MOVE_DOWN},\n      {lBound: 300,            hBound: 500,           value: pose[5], lCommand: GuidanceCommand.MOVE_FARTHER, hCommand: GuidanceCommand.MOVE_CLOSER},\n    ];\n\n    /*const loopData = [\n      {lBound: -xyBound,       hBound: xyBound,       value: pose[3], lCommand: GuidanceCommand.MOVE_LEFT,    hCommand: GuidanceCommand.MOVE_RIGHT},\n      {lBound: -xyBound,       hBound: xyBound,       value: pose[4], lCommand: GuidanceCommand.MOVE_UP,      hCommand: GuidanceCommand.MOVE_DOWN},\n    ]*/\n\n    for(const g of loopData){\n      if(g.value < g.lBound) return g.lCommand;\n      if(g.value > g.hBound) return g.hCommand;\n    }\n\n    return GuidanceCommand.STAY_STILL;\n  }\n\n  checkDefectsFW(defects: Defect[]){\n    if(!defects)\n      return GuidanceCommand.STAY_STILL;\n    for(const d of defects){\n      if(d.presence){\n        switch(d.type as DefectType){\n          case 'PITCH_TOO_HIGH' as DefectType:  return GuidanceCommand.LOOK_UP;\n          case 'PITCH_TOO_LOW' as DefectType:   return GuidanceCommand.LOOK_DOWN;\n          case 'YAW_TOO_HIGH' as DefectType:    return GuidanceCommand.LOOK_RIGHT;\n          case 'YAW_TOO_LOW' as DefectType:     return GuidanceCommand.LOOK_LEFT;\n          case 'TX_TOO_LEFT' as DefectType:     return GuidanceCommand.MOVE_RIGHT;\n          case 'TX_TOO_RIGHT' as DefectType:    return GuidanceCommand.MOVE_LEFT;\n          case 'TY_TOO_TOP' as DefectType:      return GuidanceCommand.MOVE_DOWN;\n          case 'TY_TOO_BOTTOM' as DefectType:   return GuidanceCommand.MOVE_UP;\n          case 'TZ_TOO_FAR' as DefectType:      return GuidanceCommand.MOVE_CLOSER;\n          case 'TZ_TOO_NEAR' as DefectType:     return GuidanceCommand.MOVE_FARTHER;\n          case 'PUPIL_TOO_SMALL' as DefectType: return GuidanceCommand.MOVE_CLOSER;\n          case 'PUPIL_TOO_BIG' as DefectType:   return GuidanceCommand.MOVE_FARTHER;\n        }\n      }\n    }\n    return GuidanceCommand.STAY_STILL;\n  }\n\n  public getPose(imageData: InputMap): Promise<PoseResponse> {\n    return PoseTracker.faceWeb.sendAndReturnResults(imageData).then((results: FaceWebResult)=>{\n      // TODO the has face should be returned\n      const pose = results.hasFace ? new Float32Array(results.vtoPoseArray) : undefined;\n      \n      if(results.metrics && results.metrics.rulerStatus == 'COMPLETED' as RulerStatus){\n        if(this.inspector){\n          this.pupillaryDistance = results.metrics.finalPDmm;\n          this.faceBreadth = results.metrics.finalFBmm;\n          this.faceBreadth2 = results.metrics.finalFBmm2;\n          this.updateInspector(true);\n        }\n        for(const f of this.metricsSubscribers)\n          f(results.metrics);\n      }\n\n      // computing guidance command\n      let guidance = GuidanceCommand.UNKNOWN;\n      if(results.hasFace){\n        guidance = GuidanceCommand.STAY_STILL;\n        const guidanceFW = this.checkDefectsFW(results.outlier?.defects);\n        const guidanceVM = this.checkDefectsVM(pose);\n        if(guidanceVM != GuidanceCommand.STAY_STILL){\n          guidance = guidanceVM;\n        }\n        \n        if(guidanceFW != GuidanceCommand.STAY_STILL){\n          guidance = guidanceFW;\n        }\n      }\n      return {\n        result: results,\n        pose: pose,\n        renderDelay: false,\n        guidanceCommand: guidance,\n        wasmStatus: results.hasFace ? TrackResult.OK : TrackResult.NoFaceFound,\n        wearsGlasses: false,\n      };\n    });\n  }\n}\n\nexport {GuidanceCommand, PoseResponse, FormattedPose, TrackingOptions, PoseTracker, TrackResult, WasmCapabilities, IFaceMetrics};\nexport type { InputMap };","import { vec3 } from 'gl-matrix';\n\nconst  radToDegK = (180 / Math.PI);\n\nconst radToDeg = (value: number, trailingDigits = 2): string => {\n  return (value * radToDegK).toFixed(trailingDigits);\n};\n\nexport interface FormattedPose {\n  position: {\n    x: string,\n    y: string,\n    z: string,\n  };\n  rotation: {\n    p: string,\n    y: string,\n    r: string\n  };\n}\n\nconst axisAngleToEuler = (axisAngle: Float32Array) => {\n    const axis = vec3.fromValues(axisAngle[0], axisAngle[1], axisAngle[2]);\n    const angle = vec3.length(axis);\n    if (angle < 1e-6) {\n      return [0.0, 0.0, 0.0];\n    }\n    axis[0] /= angle;\n    axis[1] /= angle;\n    axis[2] /= angle;\n\n    const q = new Float32Array(4);\n    const sine = Math.sin(angle);\n    q[0] = Math.sqrt(2 + 2 * Math.cos(angle)) / 2;\n    q[1] = sine * axis[0] / (2 * q[0]);\n    q[2] = sine * axis[1] / (2 * q[0]);\n    q[3] = sine * axis[2] / (2 * q[0]);\n    const pitch = Math.atan2(2 * (q[0] * q[1] - q[2] * q[3]),\n      q[0] * q[0] - q[1] * q[1] - q[2] * q[2] + q[3] * q[3]);\n    const yaw = Math.asin(2 * (q[0] * q[2] + q[1] * q[3]));\n    const roll = Math.atan2(2 * (q[0] * q[3] - q[1] * q[2]),\n      q[0] * q[0] + q[1] * q[1] - q[2] * q[2] - q[3] * q[3]);\n    return [pitch, yaw, roll];\n  };\n\nexport const formatPose = (pose: Float32Array): FormattedPose => {\n  return {\n    position: {\n      x: pose[3].toFixed(2),\n      y: pose[4].toFixed(2),\n      z: pose[5].toFixed(2),\n    },\n    rotation: {\n      p: pose[0].toFixed(2),\n      y: pose[1].toFixed(2),\n      r: pose[2].toFixed(2),\n    },\n  };\n\n  if (!pose || !pose[3] || !pose[4] || !pose[5]) {\n    return undefined;\n  }\n  const eulerAngles: number[] = axisAngleToEuler(pose);\n  return {\n    position: {\n      x: pose[3].toFixed(2),\n      y: pose[4].toFixed(2),\n      z: pose[5].toFixed(2),\n    },\n    rotation: {\n      p: radToDeg(eulerAngles[0], 2),\n      y: radToDeg(eulerAngles[1], 2),\n      r: radToDeg(eulerAngles[2], 2),\n    },\n  };\n};"],"names":["access_token","refresh_token","CONFIG","ROOT_STYLE_NAME","logger","RemoteLogConfig","getLoggerInfo","name","version","getAuthData","accessToken","refreshToken","setAuthData","authData","debug","DOMDefaultTarget","document","querySelector","onLoadingEvent","dispatchEvent","Event","onAvisorResultEvent","onCaptureErrorEvent","onDisplayPrivacyPageEvent","onPrivacyDisplayEvent","onCaptureProcessEvent","onPosetrackerLoadedEvent","CallbackHelper","onDisplayPrivacyPage","onPrivacyDisplay","onPrivacyFail","onPrivacyReject","onVtoCaptureStep","onCountdown","onNudging","onImageConfirm","undefined","onLoading","onAdvisorResult","onCaptureProcess","onCaptureError","onAuthUpdated","onPosetrackerLoaded","LoadingSpinner","props","size","Math","min","width","height","React","className","style","LocalizationDefaults","locale","language","localeMap","de","en","es","fr","it","ja","ko","nl","pl","pt","sv","tr","zh","translations","permission_error","error","subtext","webcam_error","generic_error","manual_start","button","text","guidance","unknown","default","move_closer","move_farther","look_up","look_right","look_down","look_left","tilt_left","tilt_right","glasses","stay_still","bright_light_conditions","eye_aspect_ratio_too_small","low_light_conditions","stay_still_video","too_bright_left","too_bright_right","vto_record","get_ready","step_1","step_2","step_3","step_4","step_5","video_doesnt_fulfill_requirements","record_picture","server_processing","loading","image_upload","image_processing","done","capture_error","upload","click_or_drop","drop_here","tap_to_upload","accept","decline","ssTranslations","FrameAdvisorError","constructor","type","message","stack","Object","setPrototypeOf","prototype","Error","InitializationError","input","JSON","stringify","NotInitializedError","LocalizationError","MountError","divId","RequestError","ServerError","PrivacyError","TimeoutError","duration","InitializationParamsError","params","RecordingError","localizedFaTranslations","localizedSmartShopperTranslations","localizationBaseUrl","fetchFrameAdvisorJson","env","translateEnvLabel","translateEnv","localizationFileUrl","fetch","then","response","ok","json","console","log","fetchSmartShopperJson","source","fileUrl","fetchFrameAdvisorTranslations","downloadSsLocalization","Promise","all","catch","resolve","LocalizationHelper","getString","page","key","e","warn","getSmartShopperString","setLocalizationText","backupLanguage","reject","split","fetchFrameAdvisorLocalization","translationFound","backupLocale","defaultLocale","translation","backupLanguageTranslation","defaultLanguageTranslation","CrosshairIcon","xmlns","viewBox","fill","cx","cy","r","stroke","strokeWidth","d","DeviceIcon","clipPath","id","transform","EyeglassIcon","FaceIcon","HairIcon","SunIcon","RotateIcon","FrameAdvisorCaptureTips","useState","device","landscapeMode","setLandscapeMode","landscape","currentPage","setCurrentPage","setOrientation","onClickContinue","onComplete","useEffect","window","addEventListener","removeEventListener","onClick","FrameAdvisorErrorOverlay","CaptureStatus","enabled","onClickOk","currentContainer","mediaRecorder","captureComplete","FrameAdvisorContainer","content","lazyFrameAdvisorPromise","FrameAdvisorVideo","LazyFrameAdvisorVideo","lazy","BipaManager","agreementStatus","setAgreementStatus","showCaptureTips","setShowCaptureTips","setLandscape","orientation","BipaOverlay","tokenVersion","environment","region","callbacks","onTermsAndConditionsClick","privacy","onDisplayPage","onSubmit","onUserReject","onError","termsAndConditions","localizationText","_CONFIG$privacy","Suspense","fallback","background","options","onStatusChange","status","COMPLETE","PROCESSING","UPLOADING","SAVING","ERROR","currentFileType","videoId","uploadPath","chunks","defaultMimeType","iosMimeType","ffMimeType","RecordingHelper","initialize","mediaStream","mimeType","reset","MediaRecorder","isTypeSupported","onstart","ondataavailable","blobEvent","data","push","startRecording","state","start","stopRecording","stop","getFileType","RequestHelper","login","loginRequest","startSession","sessionRequest","result","uploadImage","img","uploadImageRequest","uploadImageData","imgData","uploadImageDataRequest","processImage","enableMachineLearning","enableVto","shouldCancel","processImageRequest","uploadVideo","video","uploadVideoRequest","fileType","processVideo","processVideoRequest","uploadMeasurement","finalComputedPD","finalFaceBreadth","uploadMeasurementRequest","UploadStatus","UploadImage","currentImage","Image","imageInputHandler","imageInput","current","_this$imageInput$curr","_this$imageInput$curr2","files","generateImagePreview","_this$imageInput$curr3","_this$imageInput$curr4","currentTarget","value","dropHandler","file","stopPropagation","preventDefault","setState","dragOver","dataTransfer","items","_e$dataTransfer$items","kind","getAsFile","_e$dataTransfer","length","currentFile","reader","FileReader","readAsDataURL","onload","src","target","toString","upload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