feat: Enhance FaceAI functionality and improve login process
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Publish FaceAI Container / publish (push) Successful in 4m43s
All checks were successful
Publish FaceAI Container / publish (push) Successful in 4m43s
- Added a retry mechanism for page navigation in `live-site-test-utils.js` to handle transient errors during login. - Introduced a new function `performLiveLoginRequest` to handle login requests via API, improving the login flow. - Updated the login process to utilize the new API request method, ensuring a more robust authentication. - Implemented new utility functions in `rus-ecom-240621.js` for managing FaceAI state and filtering. - Created `faceai_photo_lookup.jsp` to handle photo lookups, returning JSON responses for better integration with the frontend. - Updated `faceai_return.php` to redirect users with appropriate parameters after FaceAI processing. - Modified `fotoCR.jsp` and `fotoCR-en.jsp` to include FaceAI photo IDs in the image elements for better tracking. - Enhanced the UI to display the number of matched photos dynamically based on FaceAI results.
This commit is contained in:
parent
6f191de115
commit
bba8026b7c
17 changed files with 1077 additions and 95 deletions
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@ -28,7 +28,7 @@ export const config = {
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uploadRoot: process.env.FACEAI_UPLOAD_ROOT || path.join(process.env.FACEAI_RUNTIME_ROOT || '/data/runtime', 'uploads'),
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searchTtlSeconds: Number(process.env.FACEAI_SEARCH_TTL_SECONDS || 24 * 60 * 60),
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resultTtlSeconds: Number(process.env.FACEAI_RESULT_TTL_SECONDS || 24 * 60 * 60),
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processorHeartbeatGraceMs: Number(process.env.FACEAI_PROCESSOR_HEARTBEAT_GRACE_MS || 20 * 1000),
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processorHeartbeatGraceMs: Number(process.env.FACEAI_PROCESSOR_HEARTBEAT_GRACE_MS || 60 * 1000),
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rateLimitWindowSeconds: Number(process.env.FACEAI_RATE_LIMIT_WINDOW_SECONDS || 10 * 60),
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rateLimitMaxRequests: Number(process.env.FACEAI_RATE_LIMIT_MAX_REQUESTS || 5)
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rateLimitMaxRequests: Number(process.env.FACEAI_RATE_LIMIT_MAX_REQUESTS || 20)
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};
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@ -20,6 +20,7 @@ import {
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getSearchRecord,
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incrementRateLimit,
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markSearchFailed,
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releaseActiveSearchLock,
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saveSearchRecord
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} from './redis-store.js';
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import { getSearchQueue } from './queue.js';
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@ -126,6 +127,27 @@ async function failSearchIfProcessorUnavailable(search) {
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);
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}
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async function resolveBlockingActiveSearch(userId) {
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const activeSearchId = await getActiveSearchId(redis, userId);
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if (!activeSearchId) {
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return null;
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}
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const existingSearch = await getSearchRecord(redis, activeSearchId);
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if (!existingSearch) {
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await releaseActiveSearchLock(redis, userId, activeSearchId);
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return null;
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}
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const normalizedSearch = await failSearchIfProcessorUnavailable(existingSearch);
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if (!normalizedSearch || normalizedSearch.status === 'completed' || normalizedSearch.status === 'failed') {
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await releaseActiveSearchLock(redis, userId, activeSearchId);
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return null;
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}
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return normalizedSearch;
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}
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function logHealthFailure(details) {
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const signature = JSON.stringify(details);
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if (signature === lastHealthFailureSignature) {
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@ -528,13 +550,14 @@ app.post('/api/searches', requireSession, enforceSearchRateLimit, upload.single(
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return;
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}
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const activeSearchId = await getActiveSearchId(redis, userId);
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const activeSearch = await resolveBlockingActiveSearch(userId);
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if (activeSearchId) {
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if (activeSearch) {
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res.status(409).json({
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error: 'There is already an operation being processed.',
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code: 'ACTIVE_SEARCH_EXISTS',
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activeSearchId
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activeSearchId: activeSearch.id,
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activeSearchStatus: activeSearch.status
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});
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return;
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}
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@ -1,5 +1,7 @@
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<script setup>
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defineProps({
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const fileInputId = 'faceai-upload-input';
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const props = defineProps({
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loading: {
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type: Boolean,
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required: true
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@ -54,6 +56,10 @@ defineProps({
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}
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});
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function assignFileInput(element) {
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props.fileInput.value = element;
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}
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const emit = defineEmits([
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'open-file-picker',
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'file-change',
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@ -108,7 +114,8 @@ const emit = defineEmits([
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@drop="emit('drop', $event)"
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>
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<input
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ref="fileInput"
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:ref="assignFileInput"
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:id="fileInputId"
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class="d-none"
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type="file"
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accept="image/*"
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@ -141,9 +148,18 @@ const emit = defineEmits([
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</div>
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<div class="faceai-dropzone-actions" @click.stop>
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<button class="btn btn-outline-warning" type="button" :disabled="!canPickFile" @click="emit('open-file-picker')">
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<label
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class="btn btn-outline-warning mb-0"
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:class="{ disabled: !canPickFile }"
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:for="canPickFile ? fileInputId : null"
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role="button"
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:aria-disabled="!canPickFile"
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tabindex="0"
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@keydown.enter.prevent="emit('open-file-picker')"
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@keydown.space.prevent="emit('open-file-picker')"
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>
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{{ selectedFile ? t('uploaderReplace') : t('uploaderBrowse') }}
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</button>
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</label>
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<button v-if="selectedFile" class="btn btn-link" type="button" @click="emit('clear-file')">
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{{ t('uploaderRemove') }}
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</button>
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@ -50,6 +50,8 @@ const copy = {
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raceDataUnavailable: 'I dati FaceAI non sono disponibili per questa gara.',
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invalidRaceData: 'I dati della gara ricevuti non sono validi. Torna alla pagina gara e riapri Face ID dalla gara corretta.',
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searchCreateError: 'Impossibile avviare la ricerca.',
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activeSearchExists: 'C\'e gia una ricerca in corso per questo utente. Attendi il completamento oppure ricarica la pagina.',
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rateLimited: 'Hai avviato troppe ricerche in poco tempo. Attendi un momento e riprova.',
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faceAiAlt: 'FaceAI',
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dropzoneDisabled: 'Il caricamento non è disponibile per questa gara.'
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},
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@ -101,11 +103,23 @@ const copy = {
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raceDataUnavailable: 'FaceAI data is not available for this race.',
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invalidRaceData: 'The race data received for this session is invalid. Go back to the race page and reopen Face ID from the correct race.',
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searchCreateError: 'Unable to start the search.',
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activeSearchExists: 'There is already a search running for this user. Wait for it to finish or reload the page.',
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rateLimited: 'Too many searches were started in a short time. Please wait a moment and try again.',
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faceAiAlt: 'FaceAI',
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dropzoneDisabled: 'Upload is not available for this race.'
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}
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};
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const knownServerCodes = {
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PROCESSOR_UNAVAILABLE: 'processorUnavailable',
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ACTIVE_SEARCH_EXISTS: 'activeSearchExists',
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RATE_LIMITED: 'rateLimited',
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MISSING_SELFIE: 'chooseSelfie',
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RACE_PKL_UNAVAILABLE: 'raceDataUnavailable',
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RACE_DIRECTORY_NOT_FOUND: 'invalidRaceData',
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MISSING_RACE_STORAGE: 'invalidRaceData'
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};
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const knownServerMessages = {
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'No training dataset available for this race.': 'raceDataUnavailable',
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'FaceAI data is not available for this race.': 'raceDataUnavailable',
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@ -115,7 +129,9 @@ const knownServerMessages = {
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'FaceAI processor is temporarily unavailable. Please try again shortly.': 'processorUnavailable',
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'Unable to build return URL.': 'redirectError',
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'Unable to create the search.': 'searchCreateError',
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'Choose a selfie before starting the search.': 'chooseSelfie'
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'Choose a selfie before starting the search.': 'chooseSelfie',
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'There is already an operation being processed.': 'activeSearchExists',
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'Too many search attempts. Please try again later.': 'rateLimited'
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};
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const simulatorUrl = legacyUrl('/faceai_simulator.php?raceId=101&lang=it');
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@ -178,6 +194,15 @@ export function useFaceAiHome() {
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return t(fallbackKey);
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}
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function localizeServerError(payload, fallbackKey) {
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const mappedCodeKey = payload?.code ? knownServerCodes[payload.code] : null;
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if (mappedCodeKey) {
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return t(mappedCodeKey);
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}
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return localizeServerMessage(payload?.error, fallbackKey);
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}
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function getAvailabilityUserMessage(availability, fallbackKey = 'unavailableDefault') {
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if (isInvalidRaceAvailability(availability)) {
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return t('invalidRaceData');
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@ -424,7 +449,7 @@ export function useFaceAiHome() {
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const response = await fetch(`/api/searches/${searchId}`, { credentials: 'include' });
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if (!response.ok) {
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const payload = await response.json().catch(() => ({}));
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errorMessage.value = localizeServerMessage(payload.error, 'pollError');
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errorMessage.value = localizeServerError(payload, 'pollError');
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isSubmitting.value = false;
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logFaceAiDebug('Search polling failed', { searchId, status: response.status, payload });
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return;
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@ -451,7 +476,7 @@ export function useFaceAiHome() {
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const redirectResponse = await fetch(`/api/searches/${searchId}/redirect`, { credentials: 'include' });
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const payload = await redirectResponse.json();
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if (!redirectResponse.ok) {
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errorMessage.value = localizeServerMessage(payload.error, 'redirectError');
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errorMessage.value = localizeServerError(payload, 'redirectError');
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logFaceAiDebug('Redirect build failed', { searchId, payload });
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return;
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}
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@ -498,7 +523,7 @@ export function useFaceAiHome() {
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const payload = await response.json();
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if (!response.ok) {
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errorMessage.value = localizeServerMessage(payload.error, 'searchCreateError');
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errorMessage.value = localizeServerError(payload, 'searchCreateError');
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isSubmitting.value = false;
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logFaceAiDebug('Search creation failed', { status: response.status, payload });
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return;
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@ -10,7 +10,7 @@ export const config = {
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pklRoot: process.env.FACEAI_PKL_ROOT || '/data/pkl',
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matcherBinary: process.env.FACEAI_MATCHER_BINARY || '/app/bin/face_matcher',
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processorHeartbeatIntervalMs: Number(process.env.FACEAI_PROCESSOR_HEARTBEAT_INTERVAL_MS || 5 * 1000),
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processorHeartbeatTtlSeconds: Number(process.env.FACEAI_PROCESSOR_HEARTBEAT_TTL_SECONDS || 20),
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processorHeartbeatTtlSeconds: Number(process.env.FACEAI_PROCESSOR_HEARTBEAT_TTL_SECONDS || 60),
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searchTtlSeconds: Number(process.env.FACEAI_SEARCH_TTL_SECONDS || 24 * 60 * 60),
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resultTtlSeconds: Number(process.env.FACEAI_RESULT_TTL_SECONDS || 24 * 60 * 60)
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};
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@ -2,9 +2,9 @@ const { defineConfig } = require('@playwright/test');
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module.exports = defineConfig({
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testDir: './tests/e2e',
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timeout: 10 * 60 * 1000,
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timeout: 60 * 1000,
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expect: {
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timeout: 30 * 1000
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timeout: 15 * 1000
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},
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fullyParallel: false,
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workers: 1,
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@ -5,9 +5,9 @@ const authFile = path.join(__dirname, 'tests/live-site/.auth/user.json');
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module.exports = defineConfig({
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testDir: './tests/live-site',
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timeout: 2 * 60 * 1000,
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timeout: 60 * 1000,
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expect: {
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timeout: 20 * 1000
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timeout: 15 * 1000
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},
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fullyParallel: false,
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workers: 1,
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@ -11,8 +11,12 @@ const {
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const FACEAI_HOME_URL_RE = /http:\/\/(localhost|127\.0\.0\.1):3001\/?(?:\?.*)?$/;
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const FACEAI_CALLBACK_URL_RE = /http:\/\/(localhost|127\.0\.0\.1):3001\/auth\/callback\?token=/;
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const FACEAI_RETURN_URL_RE = /http:\/\/(localhost|127\.0\.0\.1):8080\/faceai_return\.php\?resultId=.*token=.*/;
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const LEGACY_HOME_URL_RE = /http:\/\/(localhost|127\.0\.0\.1):8080\/index\.jsp$/;
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const LONG_TEST_TIMEOUT_MS = 3 * 60 * 1000;
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const SHORT_UI_TIMEOUT_MS = 30 * 1000;
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const SEARCH_COMPLETION_TIMEOUT_MS = 75 * 1000;
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const LEGACY_RETURN_TIMEOUT_MS = 75 * 1000;
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const FILE_CHOOSER_TIMEOUT_MS = 8 * 1000;
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function buildLegacySimulatorReturnMatcher(raceId) {
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return new RegExp(`http:\\/\\/(localhost|127\\.0\\.0\\.1):8080\\/faceai_simulator\\.php\\?raceId=${raceId}.*`);
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@ -26,7 +30,7 @@ function assertLogDoesNotContain(content, patterns, label) {
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async function waitForFaceAiHome(page) {
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await page.waitForURL((url) => FACEAI_CALLBACK_URL_RE.test(url.toString()) || FACEAI_HOME_URL_RE.test(url.toString()), {
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timeout: 60 * 1000
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timeout: SHORT_UI_TIMEOUT_MS
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});
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await expect(page.getByRole('heading', { name: 'Trova le tue foto con un selfie' })).toBeVisible();
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}
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@ -89,18 +93,24 @@ async function waitForSearchCondition(page, searchId, predicate, timeoutMs = 30
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throw new Error(`Timed out waiting for search ${searchId}. Last payload: ${JSON.stringify(lastPayload)}`);
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}
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async function waitForLegacyResult(page, expectedMatchCount = null) {
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await page.waitForURL(FACEAI_RETURN_URL_RE, {
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timeout: 6 * 60 * 1000
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async function waitForLegacyResult(page, raceId, expectedMatchCount = null) {
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await page.waitForURL(buildLegacySimulatorReturnMatcher(raceId), {
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timeout: LEGACY_RETURN_TIMEOUT_MS,
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waitUntil: 'commit'
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});
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await expect(page.locator('.sim-banner')).toContainText('Vista filtrata da FaceAI');
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await expect.poll(() => page.url(), {
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timeout: 15 * 1000,
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message: 'Expected the legacy simulator return URL to include FaceAI filter parameters.'
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}).toMatch(/faceaiPhotoIds=/);
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if (expectedMatchCount === null) {
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await expect(page.locator('.gallery-card').first()).toBeVisible();
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return;
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}
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await expect(page.locator('.sim-banner')).toContainText(String(expectedMatchCount));
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await expect(page.locator('.gallery-card')).toHaveCount(expectedMatchCount);
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const finalUrl = new URL(page.url());
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const photoIds = (finalUrl.searchParams.get('faceaiPhotoIds') || '').split(',').map((value) => value.trim()).filter(Boolean);
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expect(photoIds.length).toBe(expectedMatchCount);
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}
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async function verifySearchLogs(searchId, { expectedMatchCount, expectedSelfieName }) {
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@ -129,10 +139,20 @@ async function verifySearchLogs(searchId, { expectedMatchCount, expectedSelfieNa
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}
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async function closeContexts(contexts) {
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await Promise.all(contexts.map((context) => context.close()));
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await Promise.all(contexts.map(async (context) => {
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try {
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await context.close();
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} catch (error) {
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if (!/ENOENT|Target page, context or browser has been closed/i.test(String(error))) {
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throw error;
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}
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}
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}));
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}
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test('runs the simulator flow through FaceAI and returns to the filtered legacy result', async ({ page }) => {
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test.slow();
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await launchFromSimulator(page, {
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raceId: '202',
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raceSlug: 'mezza-di-pisa',
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@ -142,8 +162,7 @@ test('runs the simulator flow through FaceAI and returns to the filtered legacy
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const search = await startSearch(page, 'DSC_1960.JPG');
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await waitForLegacyResult(page, EXPECTED_MATCH_COUNT);
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await expect(page.locator('.gallery-card').filter({ hasText: 'DSC_1960.JPG' }).first()).toBeVisible();
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await waitForLegacyResult(page, '202', EXPECTED_MATCH_COUNT);
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await verifySearchLogs(search.id, {
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expectedMatchCount: EXPECTED_MATCH_COUNT,
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@ -191,7 +210,7 @@ test('shows a localized invalid-race error when session race data points to a mi
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await page.locator('#faceaiLaunchButton').click();
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await page.waitForURL(FACEAI_HOME_URL_RE, {
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timeout: 60 * 1000
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timeout: SHORT_UI_TIMEOUT_MS
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});
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await expect(page.getByRole('heading', { name: 'Find your photos with a selfie' })).toBeVisible();
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await expect(page.locator('.faceai-feedback')).toContainText('The race data received for this session is invalid. Go back to the race page and reopen Face ID from the correct race.');
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@ -240,6 +259,8 @@ test('rejects a not-logged-in user after clicking the Face ID button and sends t
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});
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test('shows the no-face message and allows the user to return to the race page', async ({ page }) => {
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test.slow();
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await launchFromSimulator(page, {
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raceId: '202',
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raceSlug: 'mezza-di-pisa',
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@ -251,7 +272,7 @@ test('shows the no-face message and allows the user to return to the race page',
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await waitForSearchCondition(page, search.id, (payload) => {
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return payload.status === 'completed' && payload.completionCode === 'NO_FACES_FOUND';
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}, 2 * 60 * 1000);
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}, SEARCH_COMPLETION_TIMEOUT_MS);
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await expect(page.locator('.faceai-feedback')).toContainText('Nessun volto rilevato nella foto caricata');
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await page.waitForTimeout(2000);
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@ -266,7 +287,26 @@ test('shows the no-face message and allows the user to return to the race page',
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await expect(page).toHaveURL(buildLegacySimulatorReturnMatcher('202'));
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});
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test('opens the file chooser when the user clicks the upload button', async ({ page }) => {
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await launchFromSimulator(page, {
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raceId: '202',
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raceSlug: 'mezza-di-pisa',
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raceName: 'Mezza di Pisa',
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raceFolder: 'PISA'
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});
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const fileChooserPromise = page.waitForEvent('filechooser', { timeout: FILE_CHOOSER_TIMEOUT_MS });
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await page.getByRole('button', { name: 'Scegli immagine' }).click();
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const fileChooser = await fileChooserPromise;
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await fileChooser.setFiles(getSelfiePath('DSC_1960.JPG'));
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await expect(page.getByText('DSC_1960.JPG')).toBeVisible();
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await expect(page.getByRole('button', { name: 'Avvia ricerca Face ID' })).toBeEnabled();
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});
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test('lets the user retry with a valid photo after a no-face upload and then returns to the filtered legacy result', async ({ page }) => {
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test.slow();
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|
||||
await launchFromSimulator(page, {
|
||||
raceId: '202',
|
||||
raceSlug: 'mezza-di-pisa',
|
||||
|
|
@ -277,13 +317,13 @@ test('lets the user retry with a valid photo after a no-face upload and then ret
|
|||
const noFaceSearch = await startSearch(page, 'DSC_1994.JPG');
|
||||
await waitForSearchCondition(page, noFaceSearch.id, (payload) => {
|
||||
return payload.status === 'completed' && payload.completionCode === 'NO_FACES_FOUND';
|
||||
}, 2 * 60 * 1000);
|
||||
}, SEARCH_COMPLETION_TIMEOUT_MS);
|
||||
|
||||
await expect(page.locator('.faceai-feedback')).toContainText('Nessun volto rilevato nella foto caricata');
|
||||
await expect(page.locator('input[type="file"]')).toBeEnabled();
|
||||
|
||||
const retrySearch = await startSearch(page, 'DSC_1960.JPG');
|
||||
await waitForLegacyResult(page, EXPECTED_MATCH_COUNT);
|
||||
await waitForLegacyResult(page, '202', EXPECTED_MATCH_COUNT);
|
||||
|
||||
await verifySearchLogs(noFaceSearch.id, {
|
||||
expectedMatchCount: 0,
|
||||
|
|
@ -301,13 +341,16 @@ test('redirects direct-entry users without FaceAI session data back to the legac
|
|||
|
||||
try {
|
||||
await page.goto(`${FACEAI_BASE_URL}/`, { waitUntil: 'domcontentloaded' });
|
||||
await page.waitForURL(LEGACY_HOME_URL_RE, { timeout: 30 * 1000 });
|
||||
await page.waitForURL(LEGACY_HOME_URL_RE, { timeout: SHORT_UI_TIMEOUT_MS });
|
||||
} finally {
|
||||
await context.close();
|
||||
}
|
||||
});
|
||||
|
||||
test('allows two users to process different photos at the same time', async ({ browser }) => {
|
||||
test.slow();
|
||||
test.setTimeout(LONG_TEST_TIMEOUT_MS);
|
||||
|
||||
const contexts = [await browser.newContext(), await browser.newContext()];
|
||||
const pages = await Promise.all(contexts.map((context) => context.newPage()));
|
||||
|
||||
|
|
@ -323,8 +366,8 @@ test('allows two users to process different photos at the same time', async ({ b
|
|||
]);
|
||||
|
||||
await Promise.all([
|
||||
waitForLegacyResult(pages[0]),
|
||||
waitForLegacyResult(pages[1])
|
||||
waitForLegacyResult(pages[0], '202'),
|
||||
waitForLegacyResult(pages[1], '202')
|
||||
]);
|
||||
|
||||
await Promise.all([
|
||||
|
|
@ -337,6 +380,9 @@ test('allows two users to process different photos at the same time', async ({ b
|
|||
});
|
||||
|
||||
test('queues the third user until a worker is free and then completes all three searches normally', async ({ browser }) => {
|
||||
test.slow();
|
||||
test.setTimeout(LONG_TEST_TIMEOUT_MS);
|
||||
|
||||
const contexts = [await browser.newContext(), await browser.newContext(), await browser.newContext()];
|
||||
const pages = await Promise.all(contexts.map((context) => context.newPage()));
|
||||
|
||||
|
|
@ -384,9 +430,9 @@ test('queues the third user until a worker is free and then completes all three
|
|||
|
||||
await waitForSearchCondition(queuedSearch.page, queuedSearch.searchId, (payload) => {
|
||||
return payload.status === 'processing' || payload.status === 'completed';
|
||||
}, 2 * 60 * 1000);
|
||||
}, SEARCH_COMPLETION_TIMEOUT_MS);
|
||||
|
||||
await Promise.all(pages.map((page) => waitForLegacyResult(page)));
|
||||
await Promise.all(pages.map((page) => waitForLegacyResult(page, '202')));
|
||||
|
||||
await Promise.all([
|
||||
verifySearchLogs(searchOne.id, { expectedSelfieName: 'DSC_1960.JPG' }),
|
||||
|
|
|
|||
|
|
@ -2,11 +2,11 @@ const { test } = require('@playwright/test');
|
|||
const {
|
||||
AUTH_FILE,
|
||||
ensureAuthDirectory,
|
||||
performLiveLogin
|
||||
performLiveLoginRequest
|
||||
} = require('./live-site-test-utils');
|
||||
|
||||
test('authenticate against the live site', async ({ page }) => {
|
||||
test('authenticate against the live site', async ({ request }) => {
|
||||
ensureAuthDirectory();
|
||||
await performLiveLogin(page);
|
||||
await page.context().storageState({ path: AUTH_FILE });
|
||||
await performLiveLoginRequest(request);
|
||||
await request.storageState({ path: AUTH_FILE });
|
||||
});
|
||||
|
|
@ -4,7 +4,6 @@ const {
|
|||
LIVE_SITE_BASE_URL,
|
||||
LIVE_SITE_PORTRAIT_PATH,
|
||||
LIVE_SITE_RACE_URL,
|
||||
LIVE_SITE_RESULT_URL_PATTERN,
|
||||
LIVE_SITE_RUN_UPLOAD_FLOW,
|
||||
ensureLiveAuthenticatedRacePage,
|
||||
requirePortraitFixture
|
||||
|
|
@ -80,6 +79,86 @@ async function waitForSearchCompletion(page, searchId) {
|
|||
});
|
||||
}
|
||||
|
||||
async function readVisibleLegacyPhotoIds(page) {
|
||||
return page.locator('#demo [data-faceai-photo-id]').evaluateAll((elements) => {
|
||||
return elements.map((element) => String(element.getAttribute('data-faceai-photo-id') || '').trim()).filter(Boolean);
|
||||
});
|
||||
}
|
||||
|
||||
async function waitForVisibleLegacyPhotoIds(page, expectedCount) {
|
||||
await expect.poll(async () => {
|
||||
const visiblePhotoIds = await readVisibleLegacyPhotoIds(page);
|
||||
return visiblePhotoIds.length;
|
||||
}, {
|
||||
timeout: 30 * 1000,
|
||||
message: 'Expected the legacy FaceAI gallery to finish loading matched thumbnails.'
|
||||
}).toBe(expectedCount);
|
||||
|
||||
return readVisibleLegacyPhotoIds(page);
|
||||
}
|
||||
|
||||
async function waitForVisibleLegacyThumbs(page, expectedCount) {
|
||||
const thumbs = page.locator('#demo [data-faceai-photo-id] img.thumb');
|
||||
|
||||
await expect(thumbs).toHaveCount(expectedCount);
|
||||
await expect.poll(async () => {
|
||||
return thumbs.evaluateAll((elements) => {
|
||||
return elements.every((element) => {
|
||||
const src = String(element.getAttribute('src') || '').trim();
|
||||
return src.length > 0 && src.indexOf('_imgNotFound') === -1;
|
||||
});
|
||||
});
|
||||
}, {
|
||||
timeout: 30 * 1000,
|
||||
message: 'Expected the legacy FaceAI gallery to resolve real thumbnail image URLs.'
|
||||
}).toBe(true);
|
||||
|
||||
return thumbs;
|
||||
}
|
||||
|
||||
async function waitForLegacyFaceAiCount(page, expectedCount) {
|
||||
await expect.poll(async () => {
|
||||
return page.locator('#faceAiPhotoCountValue').textContent();
|
||||
}, {
|
||||
timeout: 30 * 1000,
|
||||
message: 'Expected the legacy FaceAI count to match the resolved gallery size.'
|
||||
}).toBe(String(expectedCount));
|
||||
}
|
||||
|
||||
async function expectLegacyFaceAiGalleryToRemainStable(page, expectedPhotoIds, holdMs = 4000) {
|
||||
await page.waitForTimeout(holdMs);
|
||||
|
||||
const visiblePhotoIds = await readVisibleLegacyPhotoIds(page);
|
||||
expect(visiblePhotoIds.sort()).toEqual(expectedPhotoIds.slice().sort());
|
||||
|
||||
await expect(page.locator('#demo [data-faceai-photo-id]')).toHaveCount(expectedPhotoIds.length);
|
||||
await waitForVisibleLegacyThumbs(page, expectedPhotoIds.length);
|
||||
await waitForLegacyFaceAiCount(page, expectedPhotoIds.length);
|
||||
}
|
||||
|
||||
test('renders the exact live FaceAI filtered sample URL with visible thumbnails', async ({ page }) => {
|
||||
const samplePhotoIds = [
|
||||
'00.PANORAMICA\\GIC_7918.JPG',
|
||||
'02.PARTENZA\\GIC_7918.JPG'
|
||||
];
|
||||
const sampleUrl = `${LIVE_SITE_BASE_URL}/42%20HALF%20MARATHON%20FIRENZE_gara-1018545---48-1.html?faceaiMatchSource=faceai&faceaiMatchCount=2&faceaiPhotoIds=${encodeURIComponent(samplePhotoIds.join(','))}`;
|
||||
|
||||
await ensureLiveAuthenticatedRacePage(page);
|
||||
await page.goto(sampleUrl, {
|
||||
waitUntil: 'domcontentloaded'
|
||||
});
|
||||
|
||||
await expect(page.locator('form[onsubmit="return searching()"]')).toBeVisible();
|
||||
await expect(page.locator('#faceAiFilterBanner')).toContainText(/Face ID filter active|Filtro Face ID attivo/i);
|
||||
|
||||
const visiblePhotoIds = await waitForVisibleLegacyPhotoIds(page, samplePhotoIds.length);
|
||||
expect(visiblePhotoIds.sort()).toEqual(samplePhotoIds.slice().sort());
|
||||
|
||||
await waitForVisibleLegacyThumbs(page, samplePhotoIds.length);
|
||||
await waitForLegacyFaceAiCount(page, samplePhotoIds.length);
|
||||
await expectLegacyFaceAiGalleryToRemainStable(page, samplePhotoIds);
|
||||
});
|
||||
|
||||
test('loads a live race page with an authenticated session', async ({ page }) => {
|
||||
await ensureLiveAuthenticatedRacePage(page);
|
||||
|
||||
|
|
@ -129,7 +208,8 @@ test('returns to the live race page from FaceAI without leaving the legacy spinn
|
|||
await page.waitForURL((url) => {
|
||||
return url.toString().startsWith(LIVE_SITE_BASE_URL) && !url.toString().startsWith(LIVE_FACEAI_BASE_URL);
|
||||
}, {
|
||||
timeout: 60 * 1000
|
||||
timeout: 60 * 1000,
|
||||
waitUntil: 'commit'
|
||||
});
|
||||
|
||||
await expect(page.locator('form[onsubmit="return searching()"]')).toBeVisible();
|
||||
|
|
@ -149,6 +229,8 @@ test('returns to the live race page from FaceAI without leaving the legacy spinn
|
|||
test.skip(!LIVE_SITE_RUN_UPLOAD_FLOW, 'Set LIVE_SITE_RUN_UPLOAD_FLOW=1 to exercise the live upload flow.');
|
||||
|
||||
test('accepts the supplied portrait image for the live upload flow', async ({ page }) => {
|
||||
test.slow();
|
||||
|
||||
requirePortraitFixture();
|
||||
|
||||
await openLiveFaceAi(page);
|
||||
|
|
@ -185,18 +267,24 @@ test('accepts the supplied portrait image for the live upload flow', async ({ pa
|
|||
|
||||
await waitForSearchCompletion(page, searchId);
|
||||
|
||||
await page.waitForURL(new RegExp(`^${escapeRegExp(LIVE_SITE_RESULT_URL_PATTERN)}`), {
|
||||
timeout: 3 * 60 * 1000
|
||||
});
|
||||
|
||||
await expect.poll(async () => page.url(), {
|
||||
timeout: 15 * 1000,
|
||||
message: 'Expected the browser to land on the legacy result page after FaceAI completed.'
|
||||
}).toMatch(new RegExp(`^${escapeRegExp(LIVE_SITE_BASE_URL)}/`));
|
||||
timeout: 30 * 1000,
|
||||
message: 'Expected the browser to land on the legacy race page with FaceAI filter parameters after FaceAI completed.'
|
||||
}).toMatch(new RegExp(`^${escapeRegExp(LIVE_SITE_BASE_URL)}/.*faceaiPhotoIds=`));
|
||||
|
||||
await expect(page.locator('body')).toContainText(/Vista filtrata da FaceAI|foto da FaceAI|ID foto:/i);
|
||||
await expect.poll(async () => page.locator('.gallery-card').count(), {
|
||||
timeout: 15 * 1000,
|
||||
message: 'Expected the legacy return page to render at least one FaceAI result card.'
|
||||
}).toBeGreaterThan(0);
|
||||
await expect(page.locator('form[onsubmit="return searching()"]')).toBeVisible();
|
||||
await expect(page.locator('#faceAiFilterBanner')).toContainText(/Face ID filter active|Filtro Face ID attivo/i);
|
||||
await expect(page.locator('.gallery-card')).toHaveCount(0);
|
||||
|
||||
const finalUrl = new URL(page.url());
|
||||
const expectedPhotoIds = (finalUrl.searchParams.get('faceaiPhotoIds') || '').split(',').map((value) => value.trim()).filter(Boolean);
|
||||
expect(expectedPhotoIds.length, 'Expected the final race page URL to include at least one FaceAI photo identifier.').toBeGreaterThan(0);
|
||||
|
||||
const visiblePhotoIds = await waitForVisibleLegacyPhotoIds(page, expectedPhotoIds.length);
|
||||
expect(visiblePhotoIds.length, 'Expected at least one legacy race thumbnail to remain visible after FaceAI filtering.').toBeGreaterThan(0);
|
||||
expect(visiblePhotoIds.sort()).toEqual(expectedPhotoIds.slice().sort());
|
||||
|
||||
await waitForVisibleLegacyThumbs(page, expectedPhotoIds.length);
|
||||
await waitForLegacyFaceAiCount(page, expectedPhotoIds.length);
|
||||
await expectLegacyFaceAiGalleryToRemainStable(page, expectedPhotoIds);
|
||||
});
|
||||
|
|
@ -41,10 +41,39 @@ function loginSubmitLocator(page) {
|
|||
return page.locator('a.btn').filter({ hasText: /Accedi|Sign in/i }).first();
|
||||
}
|
||||
|
||||
function buildLoginFormData() {
|
||||
requireCredentials();
|
||||
return {
|
||||
login: LIVE_SITE_USERNAME,
|
||||
pwd: LIVE_SITE_PASSWORD,
|
||||
cmdIU: 'check',
|
||||
act: '',
|
||||
thePage: ''
|
||||
};
|
||||
}
|
||||
|
||||
async function gotoWithRetry(page, url, options = {}, maxAttempts = 3) {
|
||||
let lastError = null;
|
||||
|
||||
for (let attempt = 1; attempt <= maxAttempts; attempt += 1) {
|
||||
try {
|
||||
await page.goto(url, options);
|
||||
return;
|
||||
} catch (error) {
|
||||
lastError = error;
|
||||
if (!/ERR_ABORTED/i.test(String(error)) || attempt === maxAttempts) {
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
throw lastError;
|
||||
}
|
||||
|
||||
async function performLiveLogin(page) {
|
||||
requireCredentials();
|
||||
|
||||
await page.goto(LIVE_SITE_LOGIN_URL, { waitUntil: 'domcontentloaded' });
|
||||
await gotoWithRetry(page, LIVE_SITE_LOGIN_URL, { waitUntil: 'commit' });
|
||||
await dismissCookieBanner(page);
|
||||
await page.locator('#login').fill(LIVE_SITE_USERNAME);
|
||||
await page.locator('#pwd').fill(LIVE_SITE_PASSWORD);
|
||||
|
|
@ -52,6 +81,24 @@ async function performLiveLogin(page) {
|
|||
await waitForLoggedInUi(page);
|
||||
}
|
||||
|
||||
async function performLiveLoginRequest(requestContext) {
|
||||
const response = await requestContext.post(`${LIVE_SITE_BASE_URL}/Logon.abl`, {
|
||||
form: buildLoginFormData(),
|
||||
failOnStatusCode: false
|
||||
});
|
||||
|
||||
const finalUrl = response.url();
|
||||
const bodyText = await response.text();
|
||||
|
||||
if (!response.ok()) {
|
||||
throw new Error(`Live login request failed with HTTP ${response.status()} at ${finalUrl}`);
|
||||
}
|
||||
|
||||
if (/login_clienti|Username \/ Email|Password/iu.test(bodyText) && !/user_logout|dettaglio_clienti|Il mio account/iu.test(bodyText)) {
|
||||
throw new Error(`Live login request appears to have remained on the login page at ${finalUrl}`);
|
||||
}
|
||||
}
|
||||
|
||||
async function waitForLoggedInUi(page) {
|
||||
const accountMenu = page.locator('#navbarDropdownMenuLink');
|
||||
const accountLink = page.locator('a[href*="dettaglio_clienti"]');
|
||||
|
|
@ -81,14 +128,14 @@ async function expectRacePageLoaded(page) {
|
|||
}
|
||||
|
||||
async function ensureLiveAuthenticatedRacePage(page) {
|
||||
await page.goto(LIVE_SITE_RACE_URL, { waitUntil: 'domcontentloaded' });
|
||||
await gotoWithRetry(page, LIVE_SITE_RACE_URL, { waitUntil: 'commit' });
|
||||
await dismissCookieBanner(page);
|
||||
|
||||
try {
|
||||
await waitForLoggedInUi(page);
|
||||
} catch (error) {
|
||||
await performLiveLogin(page);
|
||||
await page.goto(LIVE_SITE_RACE_URL, { waitUntil: 'domcontentloaded' });
|
||||
await performLiveLoginRequest(page.context().request);
|
||||
await gotoWithRetry(page, LIVE_SITE_RACE_URL, { waitUntil: 'commit' });
|
||||
await dismissCookieBanner(page);
|
||||
await waitForLoggedInUi(page);
|
||||
}
|
||||
|
|
@ -119,6 +166,7 @@ module.exports = {
|
|||
expectRacePageLoaded,
|
||||
loginSubmitLocator,
|
||||
performLiveLogin,
|
||||
performLiveLoginRequest,
|
||||
requirePortraitFixture,
|
||||
requireCredentials,
|
||||
waitForLoggedInUi
|
||||
|
|
|
|||
|
|
@ -15,7 +15,10 @@ All files in this rollout are deployed from the current working tree.
|
|||
## Updated Files
|
||||
|
||||
- `www/_js/rus-ecom-240621.js`
|
||||
- `www/faceai_handoff.php`
|
||||
- `www/faceai_return.php`
|
||||
- `www/faceai_photo_lookup.jsp`
|
||||
- `www/fotoCR.jsp`
|
||||
- `www/fotoCR-en.jsp`
|
||||
|
||||
## Excluded Files
|
||||
|
||||
|
|
@ -27,7 +30,7 @@ All files in this rollout are deployed from the current working tree.
|
|||
- Remote host: `marco@83.149.164.4:410`
|
||||
- Remote staging path: `/home/marco/regalamiunsorriso/incoming/www`
|
||||
- Remote live path: `/home/sites/regalamiunsorriso/www`
|
||||
- Total files in this manifest: `2`
|
||||
- Total files in this manifest: `5`
|
||||
|
||||
## Transfer Method
|
||||
|
||||
|
|
|
|||
|
|
@ -251,6 +251,439 @@ function initFaceAiErrorModal() {
|
|||
clearFaceAiErrorState();
|
||||
}
|
||||
|
||||
function stripFaceAiStateFromUrl(url) {
|
||||
var fallbackUrl = window.location.href;
|
||||
|
||||
if (typeof URL === "undefined") {
|
||||
return url || fallbackUrl;
|
||||
}
|
||||
|
||||
try {
|
||||
var cleanUrl = new URL(url || fallbackUrl, window.location.href);
|
||||
cleanUrl.searchParams.delete("faceaiError");
|
||||
cleanUrl.searchParams.delete("faceaiErrorTitle");
|
||||
cleanUrl.searchParams.delete("faceaiErrorMessage");
|
||||
cleanUrl.searchParams.delete("faceaiMatchSource");
|
||||
cleanUrl.searchParams.delete("faceaiMatchCount");
|
||||
cleanUrl.searchParams.delete("faceaiPhotoIds");
|
||||
return cleanUrl.toString();
|
||||
} catch (error) {
|
||||
return url || fallbackUrl;
|
||||
}
|
||||
}
|
||||
|
||||
function getFaceAiMatchState() {
|
||||
if (typeof URLSearchParams === "undefined") {
|
||||
return null;
|
||||
}
|
||||
|
||||
var params = new URLSearchParams(window.location.search || "");
|
||||
var rawIds = params.get("faceaiPhotoIds") || "";
|
||||
if (!rawIds) {
|
||||
return null;
|
||||
}
|
||||
|
||||
var photoIds = rawIds.split(",").map(function(value) {
|
||||
return String(value || "").trim();
|
||||
}).filter(function(value) {
|
||||
return value.length > 0;
|
||||
});
|
||||
|
||||
if (!photoIds.length) {
|
||||
return null;
|
||||
}
|
||||
|
||||
var photoIdSet = {};
|
||||
for (var index = 0; index < photoIds.length; index += 1) {
|
||||
photoIdSet[photoIds[index]] = true;
|
||||
}
|
||||
|
||||
var parsedCount = parseInt(params.get("faceaiMatchCount"), 10);
|
||||
|
||||
return {
|
||||
photoIds: photoIds,
|
||||
photoIdSet: photoIdSet,
|
||||
matchCount: isNaN(parsedCount) ? photoIds.length : parsedCount,
|
||||
clearUrl: stripFaceAiStateFromUrl(window.location.href)
|
||||
};
|
||||
}
|
||||
|
||||
function getFaceAiFilterCopy() {
|
||||
var lang = String(getCurrentLangValue() || "it").toLowerCase();
|
||||
if (lang.indexOf("en") === 0) {
|
||||
return {
|
||||
bannerTitle: "Face ID filter active",
|
||||
bannerText: "Showing <strong>{count}</strong> matched photos on the normal race page.",
|
||||
clearText: "Show all race photos",
|
||||
emptyText: "No matched FaceAI photos are available in this current race view."
|
||||
};
|
||||
}
|
||||
|
||||
return {
|
||||
bannerTitle: "Filtro Face ID attivo",
|
||||
bannerText: "Mostro <strong>{count}</strong> foto corrispondenti nella normale pagina gara.",
|
||||
clearText: "Mostra tutte le foto della gara",
|
||||
emptyText: "Nessuna foto FaceAI corrispondente e disponibile in questa vista della gara."
|
||||
};
|
||||
}
|
||||
|
||||
function updateFaceAiLegacyCount(visibleCount) {
|
||||
var countValue = $("#faceAiPhotoCountValue");
|
||||
if (!countValue.length) {
|
||||
return;
|
||||
}
|
||||
|
||||
countValue.text(String(visibleCount));
|
||||
}
|
||||
|
||||
function escapeFaceAiAttribute(value) {
|
||||
return String(value || "").replace(/&/g, "&").replace(/"/g, """);
|
||||
}
|
||||
|
||||
function isFaceAiNumericPhotoId(value) {
|
||||
return /^\d+$/.test(String(value || "").trim());
|
||||
}
|
||||
|
||||
function getFaceAiLookupEndpoint() {
|
||||
return "faceai_photo_lookup.jsp";
|
||||
}
|
||||
|
||||
function getFaceAiGalleryLayoutOptions() {
|
||||
var config = window.faceAiConfig || {};
|
||||
if (config.galleryMode === "compact") {
|
||||
return null;
|
||||
}
|
||||
|
||||
return {
|
||||
rowHeight: 150,
|
||||
margins: 8
|
||||
};
|
||||
}
|
||||
|
||||
function refreshFaceAiLegacyGalleryLayout(gallery) {
|
||||
var options;
|
||||
|
||||
if (!gallery || !gallery.length || typeof $.fn.justifiedGallery !== "function") {
|
||||
return;
|
||||
}
|
||||
|
||||
if (gallery.data("jg.controller")) {
|
||||
gallery.justifiedGallery("destroy");
|
||||
}
|
||||
|
||||
options = getFaceAiGalleryLayoutOptions();
|
||||
if (options) {
|
||||
gallery.justifiedGallery(options);
|
||||
return;
|
||||
}
|
||||
|
||||
gallery.justifiedGallery();
|
||||
gallery.justifiedGallery("norewind");
|
||||
return;
|
||||
}
|
||||
|
||||
function normalizeFaceAiLookupToken(value) {
|
||||
return String(value || "")
|
||||
.toUpperCase()
|
||||
.replace(/\\+/g, "/")
|
||||
.replace(/\s+/g, "_")
|
||||
.replace(/[^A-Z0-9._/-]+/g, "")
|
||||
.replace(/^_+|_+$/g, "");
|
||||
}
|
||||
|
||||
function collectFaceAiCheckpointTokens(value) {
|
||||
var normalized = normalizeFaceAiLookupToken(value);
|
||||
var tokens = {};
|
||||
var current = normalized;
|
||||
|
||||
while (current) {
|
||||
tokens[current] = true;
|
||||
current = current.replace(/^\d+\./, "");
|
||||
if (tokens[current]) {
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
current = normalized.replace(/^\d+\./, "");
|
||||
while (current) {
|
||||
tokens[current] = true;
|
||||
if (current.indexOf("_") === -1) {
|
||||
break;
|
||||
}
|
||||
current = current.replace(/_[^_]+$/, "");
|
||||
}
|
||||
|
||||
return tokens;
|
||||
}
|
||||
|
||||
function findFaceAiPointIdsForCheckpoint(checkpointLabel) {
|
||||
var field = $("#id_puntoFoto");
|
||||
var lookupTokens = collectFaceAiCheckpointTokens(checkpointLabel);
|
||||
var ids = [];
|
||||
|
||||
if (!field.length || !Object.keys(lookupTokens).length) {
|
||||
return ids;
|
||||
}
|
||||
|
||||
field.find("option").each(function() {
|
||||
var option = $(this);
|
||||
var value = String(option.val() || "").trim();
|
||||
var optionTokens;
|
||||
var token;
|
||||
|
||||
if (!/^\d+$/.test(value)) {
|
||||
return;
|
||||
}
|
||||
|
||||
optionTokens = collectFaceAiCheckpointTokens(option.text());
|
||||
for (token in optionTokens) {
|
||||
if (optionTokens.hasOwnProperty(token) && lookupTokens[token]) {
|
||||
ids.push(value);
|
||||
return;
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
return ids;
|
||||
}
|
||||
|
||||
function getFaceAiPhotoLookupData(photoKey) {
|
||||
var value = String(photoKey || "").trim();
|
||||
var normalizedPath = value.replace(/\\+/g, "/");
|
||||
var segments = normalizedPath.split("/");
|
||||
var fileName = segments.length ? String(segments[segments.length - 1] || "").trim() : "";
|
||||
var checkpointLabel = segments.length > 1 ? String(segments[0] || "").trim() : "";
|
||||
var raceId = String($("#id_gara").val() || "").trim();
|
||||
var puntoFotoIds = checkpointLabel ? findFaceAiPointIdsForCheckpoint(checkpointLabel) : [];
|
||||
|
||||
return {
|
||||
photoKey: value,
|
||||
request: {
|
||||
photoId: value,
|
||||
normalizedPhotoId: normalizedPath,
|
||||
fileName: fileName,
|
||||
raceId: raceId,
|
||||
checkpointLabel: checkpointLabel,
|
||||
puntoFotoIds: puntoFotoIds.join(",")
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
function hideFaceAiLegacyPagination() {
|
||||
$("nav[aria-label='paginatore']").hide();
|
||||
$("#pageRow").closest(".col-md-3").hide();
|
||||
}
|
||||
|
||||
function renderFaceAiLegacyBanner(state) {
|
||||
var copy = getFaceAiFilterCopy();
|
||||
var banner = $("#faceAiFilterBanner");
|
||||
var message = copy.bannerText.replace("{count}", String(state.visibleCount));
|
||||
|
||||
if (!banner.length) {
|
||||
var bannerHtml = ''
|
||||
+ '<div class="col-12" id="faceAiFilterBannerWrap">'
|
||||
+ '<div id="faceAiFilterBanner" class="alert alert-warning d-flex flex-column flex-md-row justify-content-between align-items-md-center mb-3" role="status">'
|
||||
+ '<div class="mb-2 mb-md-0">'
|
||||
+ '<strong id="faceAiFilterBannerTitle"></strong> '
|
||||
+ '<span id="faceAiFilterBannerText"></span>'
|
||||
+ '</div>'
|
||||
+ '<button type="button" id="faceAiClearFilterButton" class="btn btn-sm btn-outline-dark"></button>'
|
||||
+ '</div>'
|
||||
+ '</div>';
|
||||
|
||||
var insertTarget = $("#faceAiResultsSummary").closest(".col-md-4").parent();
|
||||
if (insertTarget.length) {
|
||||
insertTarget.before(bannerHtml);
|
||||
} else {
|
||||
$(".container.my-3 .row.mb-5").first().prepend(bannerHtml);
|
||||
}
|
||||
|
||||
banner = $("#faceAiFilterBanner");
|
||||
$(document).off("click.faceAiClearFilter", "#faceAiClearFilterButton");
|
||||
$(document).on("click.faceAiClearFilter", "#faceAiClearFilterButton", function() {
|
||||
window.location.href = state.clearUrl;
|
||||
});
|
||||
}
|
||||
|
||||
$("#faceAiFilterBannerTitle").text(copy.bannerTitle);
|
||||
$("#faceAiFilterBannerText").html(message);
|
||||
$("#faceAiClearFilterButton").text(copy.clearText);
|
||||
$("#faceAiEmptyResultsMessage").remove();
|
||||
|
||||
if (state.visibleCount > 0) {
|
||||
return;
|
||||
}
|
||||
|
||||
var emptyMessage = '<div class="col-12" id="faceAiEmptyResultsMessage"><div class="alert alert-light border mb-3">' + faceAiEscapeHtml(copy.emptyText) + '</div></div>';
|
||||
var gallery = $("#demo");
|
||||
if (gallery.length) {
|
||||
gallery.closest(".col-md-10").before(emptyMessage);
|
||||
}
|
||||
}
|
||||
|
||||
function buildFaceAiLegacyPhotoCard(photoKey, legacyId, imageSrc) {
|
||||
var safePhotoKey = escapeFaceAiAttribute(photoKey);
|
||||
var safeLegacyId = escapeFaceAiAttribute(legacyId);
|
||||
var safeImageSrc = escapeFaceAiAttribute(imageSrc);
|
||||
var captionLabel = String(getCurrentLangValue() || "it").toLowerCase().indexOf("en") === 0 ? "Photo ID" : "ID foto";
|
||||
|
||||
return $(
|
||||
'<a href="javascript:mostraFoto(' + safeLegacyId + ')" data-faceai-photo-id="' + safePhotoKey + '" data-faceai-legacy-id="' + safeLegacyId + '">' +
|
||||
'<img src="' + safeImageSrc + '" alt="" class="thumb" />' +
|
||||
'<div class="caption">' + captionLabel + ': ' + faceAiEscapeHtml(photoKey) + '</div>' +
|
||||
'</a>'
|
||||
);
|
||||
}
|
||||
|
||||
function extractFaceAiImageSrc(htmlPayload) {
|
||||
var parsedNodes = $.parseHTML(htmlPayload || "", document, true) || [];
|
||||
var wrapper = $("<div></div>").append(parsedNodes);
|
||||
var image = wrapper.find("img").first();
|
||||
if (!image.length) {
|
||||
return "";
|
||||
}
|
||||
|
||||
return image.attr("src") || "";
|
||||
}
|
||||
|
||||
function fetchFaceAiLegacyPhotoCard(photoKey) {
|
||||
var lookupData = getFaceAiPhotoLookupData(photoKey);
|
||||
|
||||
return $.getJSON(getFaceAiLookupEndpoint(), lookupData.request).then(function(payload) {
|
||||
if (!payload || !payload.found || !payload.legacyId || !payload.thumbSrc) {
|
||||
return null;
|
||||
}
|
||||
|
||||
return buildFaceAiLegacyPhotoCard(payload.photoId || lookupData.photoKey, payload.legacyId, payload.thumbSrc);
|
||||
}, function() {
|
||||
if (!isFaceAiNumericPhotoId(photoKey)) {
|
||||
return null;
|
||||
}
|
||||
|
||||
return $.get("Foto2.abl?cmd=mostraFoto&id_foto=" + encodeURIComponent(photoKey)).then(function(htmlPayload) {
|
||||
var imageSrc = extractFaceAiImageSrc(htmlPayload);
|
||||
if (!imageSrc) {
|
||||
return null;
|
||||
}
|
||||
|
||||
return buildFaceAiLegacyPhotoCard(photoKey, photoKey, imageSrc);
|
||||
}, function() {
|
||||
return null;
|
||||
});
|
||||
});
|
||||
}
|
||||
|
||||
function cloneFaceAiExistingPhotoCard(item) {
|
||||
if (!item || !item.length) {
|
||||
return null;
|
||||
}
|
||||
|
||||
var clone = item.clone(true, true);
|
||||
clone.attr("data-faceai-photo-id", item.attr("data-faceai-photo-id") || "");
|
||||
clone.attr("data-faceai-legacy-id", item.attr("data-faceai-legacy-id") || "");
|
||||
return clone;
|
||||
}
|
||||
|
||||
function collectFaceAiExistingPhotoCards(gallery, matchState) {
|
||||
var cardsById = {};
|
||||
|
||||
gallery.find("[data-faceai-photo-id]").each(function() {
|
||||
var item = $(this);
|
||||
var photoId = String(item.attr("data-faceai-photo-id") || "").trim();
|
||||
if (!photoId || !matchState.photoIdSet[photoId] || cardsById[photoId]) {
|
||||
return;
|
||||
}
|
||||
|
||||
cardsById[photoId] = cloneFaceAiExistingPhotoCard(item);
|
||||
});
|
||||
|
||||
return cardsById;
|
||||
}
|
||||
|
||||
function finalizeFaceAiLegacyGallery(gallery, matchState, cards) {
|
||||
var visibleCards = [];
|
||||
var index;
|
||||
var activeRequestId = window.faceAiLegacyGalleryRequestId || 0;
|
||||
|
||||
if (matchState.requestId !== activeRequestId) {
|
||||
return;
|
||||
}
|
||||
|
||||
gallery.empty();
|
||||
for (index = 0; index < cards.length; index += 1) {
|
||||
if (!cards[index] || !cards[index].length) {
|
||||
continue;
|
||||
}
|
||||
visibleCards.push(cards[index]);
|
||||
gallery.append(cards[index]);
|
||||
}
|
||||
|
||||
matchState.visibleCount = visibleCards.length;
|
||||
window.faceAiMatchState = matchState;
|
||||
updateFaceAiLegacyCount(matchState.visibleCount);
|
||||
renderFaceAiLegacyBanner(matchState);
|
||||
refreshFaceAiLegacyGalleryLayout(gallery);
|
||||
|
||||
$(document).trigger("faceai:gallery-ready", [matchState]);
|
||||
|
||||
logFaceAiDebug("Applied legacy FaceAI filter", {
|
||||
matchCount: matchState.matchCount,
|
||||
visibleCount: matchState.visibleCount,
|
||||
photoIds: matchState.photoIds
|
||||
});
|
||||
}
|
||||
|
||||
function loadFaceAiLegacyGallery(gallery, matchState) {
|
||||
var existingCards = collectFaceAiExistingPhotoCards(gallery, matchState);
|
||||
var orderedCards = [];
|
||||
var index;
|
||||
|
||||
updateFaceAiLegacyCount(0);
|
||||
gallery.empty().append('<div class="faceai-loading text-center w-100 py-4">FaceAI loading...</div>');
|
||||
|
||||
for (index = 0; index < matchState.photoIds.length; index += 1) {
|
||||
(function(photoId) {
|
||||
if (existingCards[photoId]) {
|
||||
orderedCards.push($.Deferred().resolve(existingCards[photoId]).promise());
|
||||
return;
|
||||
}
|
||||
|
||||
orderedCards.push(fetchFaceAiLegacyPhotoCard(photoId));
|
||||
}(matchState.photoIds[index]));
|
||||
}
|
||||
|
||||
$.when.apply($, orderedCards).then(function() {
|
||||
var resolvedCards = orderedCards.length === 1 ? [arguments[0]] : Array.prototype.slice.call(arguments);
|
||||
finalizeFaceAiLegacyGallery(gallery, matchState, resolvedCards);
|
||||
}, function() {
|
||||
finalizeFaceAiLegacyGallery(gallery, matchState, []);
|
||||
});
|
||||
}
|
||||
|
||||
function prepareFaceAiLegacyRacePage() {
|
||||
var matchState = getFaceAiMatchState();
|
||||
var gallery = $("#demo");
|
||||
var preparationKey;
|
||||
if (!matchState || !gallery.length) {
|
||||
return null;
|
||||
}
|
||||
|
||||
preparationKey = window.location.pathname + "?" + window.location.search;
|
||||
if (window.faceAiLegacyPreparationKey === preparationKey) {
|
||||
return window.faceAiMatchState || matchState;
|
||||
}
|
||||
|
||||
window.faceAiLegacyPreparationKey = preparationKey;
|
||||
window.faceAiLegacyGalleryRequestId = (window.faceAiLegacyGalleryRequestId || 0) + 1;
|
||||
matchState.requestId = window.faceAiLegacyGalleryRequestId;
|
||||
matchState.visibleCount = 0;
|
||||
hideFaceAiLegacyPagination();
|
||||
renderFaceAiLegacyBanner(matchState);
|
||||
loadFaceAiLegacyGallery(gallery, matchState);
|
||||
|
||||
return matchState;
|
||||
}
|
||||
|
||||
function buildFaceAiLaunchUrl() {
|
||||
var raceId = $("#id_gara").val() || "";
|
||||
var raceSlug = $("#garaDesc").val() || "";
|
||||
|
|
@ -261,7 +694,7 @@ function buildFaceAiLaunchUrl() {
|
|||
var raceStorageRelativeDir = $("#faceAiRaceStorageRelativeDir").val() || [raceYear, raceMonthFolder, raceFolder].filter(Boolean).join("/");
|
||||
var lang = getCurrentLangValue();
|
||||
var handoffUrl = (window.faceAiSimulator && window.faceAiSimulator.handoffUrl) || "faceai_handoff.php";
|
||||
var returnUrl = (window.faceAiSimulator && window.faceAiSimulator.returnUrl) || window.location.href;
|
||||
var returnUrl = stripFaceAiStateFromUrl((window.faceAiSimulator && window.faceAiSimulator.returnUrl) || window.location.href);
|
||||
var query = [
|
||||
"raceId=" + encodeURIComponent(raceId),
|
||||
"raceSlug=" + encodeURIComponent(raceSlug),
|
||||
|
|
@ -558,6 +991,7 @@ function goPage()
|
|||
|
||||
$(function() {
|
||||
clearLegacyLoadingState();
|
||||
prepareFaceAiLegacyRacePage();
|
||||
initFaceAiRaceSearchButton();
|
||||
initFaceAiErrorModal();
|
||||
logFaceAiDebug("Legacy race page ready");
|
||||
|
|
|
|||
299
www/faceai_photo_lookup.jsp
Normal file
299
www/faceai_photo_lookup.jsp
Normal file
|
|
@ -0,0 +1,299 @@
|
|||
<%@ page contentType="application/json; charset=UTF-8" %>
|
||||
<%@ page language="java" import="java.lang.reflect.Constructor" %>
|
||||
<%@ page language="java" import="java.lang.reflect.Method" %>
|
||||
<%!
|
||||
private String faceAiLookupTrim(String value) {
|
||||
return value == null ? "" : value.trim();
|
||||
}
|
||||
|
||||
private String faceAiLookupEscapeJson(String value) {
|
||||
if (value == null) {
|
||||
return "";
|
||||
}
|
||||
|
||||
StringBuilder builder = new StringBuilder(value.length() + 16);
|
||||
for (int index = 0; index < value.length(); index++) {
|
||||
char current = value.charAt(index);
|
||||
switch (current) {
|
||||
case '\\':
|
||||
builder.append("\\\\");
|
||||
break;
|
||||
case '"':
|
||||
builder.append("\\\"");
|
||||
break;
|
||||
case '\b':
|
||||
builder.append("\\b");
|
||||
break;
|
||||
case '\f':
|
||||
builder.append("\\f");
|
||||
break;
|
||||
case '\n':
|
||||
builder.append("\\n");
|
||||
break;
|
||||
case '\r':
|
||||
builder.append("\\r");
|
||||
break;
|
||||
case '\t':
|
||||
builder.append("\\t");
|
||||
break;
|
||||
default:
|
||||
if (current < 0x20) {
|
||||
String hex = Integer.toHexString(current);
|
||||
builder.append("\\u");
|
||||
for (int padding = hex.length(); padding < 4; padding++) {
|
||||
builder.append('0');
|
||||
}
|
||||
builder.append(hex);
|
||||
} else {
|
||||
builder.append(current);
|
||||
}
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
return builder.toString();
|
||||
}
|
||||
|
||||
private Object faceAiLookupInvoke(Object target, String methodName, Class[] paramTypes, Object[] args) {
|
||||
if (target == null || methodName == null || methodName.length() == 0) {
|
||||
return null;
|
||||
}
|
||||
|
||||
try {
|
||||
Method method = target.getClass().getMethod(methodName, paramTypes == null ? new Class[0] : paramTypes);
|
||||
return method.invoke(target, args == null ? new Object[0] : args);
|
||||
} catch (Exception ignored) {
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
private long faceAiLookupLong(Object value) {
|
||||
if (value instanceof Number) {
|
||||
return ((Number) value).longValue();
|
||||
}
|
||||
if (value != null) {
|
||||
try {
|
||||
return Long.parseLong(String.valueOf(value));
|
||||
} catch (NumberFormatException ignored) {
|
||||
return 0L;
|
||||
}
|
||||
}
|
||||
return 0L;
|
||||
}
|
||||
|
||||
private String faceAiLookupString(Object value) {
|
||||
return value == null ? "" : String.valueOf(value);
|
||||
}
|
||||
|
||||
private boolean faceAiLookupIsSafeValue(String value) {
|
||||
return value == null || value.indexOf('\'') == -1;
|
||||
}
|
||||
|
||||
private String faceAiLookupNormalizePhotoId(String value) {
|
||||
return faceAiLookupTrim(value).replace('\\', '/');
|
||||
}
|
||||
|
||||
private String faceAiLookupNormalizeFileName(String value) {
|
||||
String normalized = faceAiLookupNormalizePhotoId(value);
|
||||
int lastSlash = normalized.lastIndexOf('/');
|
||||
if (lastSlash >= 0 && lastSlash < normalized.length() - 1) {
|
||||
normalized = normalized.substring(lastSlash + 1);
|
||||
}
|
||||
return faceAiLookupTrim(normalized);
|
||||
}
|
||||
|
||||
private String faceAiLookupCompositeFileName(String photoId) {
|
||||
String normalized = faceAiLookupNormalizePhotoId(photoId);
|
||||
if (normalized.length() == 0) {
|
||||
return "";
|
||||
}
|
||||
return normalized.replace('/', '_').replace(':', '_');
|
||||
}
|
||||
|
||||
private long[] faceAiLookupParseLongList(String value) {
|
||||
if (value == null || value.trim().length() == 0) {
|
||||
return new long[0];
|
||||
}
|
||||
|
||||
String[] parts = value.split(",");
|
||||
long[] parsed = new long[parts.length];
|
||||
int count = 0;
|
||||
for (int index = 0; index < parts.length; index++) {
|
||||
String part = parts[index] == null ? "" : parts[index].trim();
|
||||
if (!part.matches("^\\d+$")) {
|
||||
continue;
|
||||
}
|
||||
|
||||
parsed[count] = Long.parseLong(part);
|
||||
count++;
|
||||
}
|
||||
|
||||
if (count == parsed.length) {
|
||||
return parsed;
|
||||
}
|
||||
|
||||
long[] compact = new long[count];
|
||||
for (int index = 0; index < count; index++) {
|
||||
compact[index] = parsed[index];
|
||||
}
|
||||
return compact;
|
||||
}
|
||||
|
||||
private Object faceAiLookupInstantiateFoto(Class fotoClass, Constructor constructor, Object apFull) throws Exception {
|
||||
return constructor.newInstance(new Object[] { apFull });
|
||||
}
|
||||
|
||||
private boolean faceAiLookupHasResolvedPhoto(Object foto) {
|
||||
return faceAiLookupLong(faceAiLookupInvoke(foto, "getDBState", null, null)) == 1L
|
||||
&& faceAiLookupLong(faceAiLookupInvoke(foto, "getId_foto", null, null)) > 0L;
|
||||
}
|
||||
|
||||
private Object faceAiLookupResolvePhoto(Class fotoClass, Constructor constructor, Object apFull, String photoId, String normalizedPhotoId, String fileName, long raceId, long[] puntoFotoIds) throws Exception {
|
||||
Method findByPrimaryKey = fotoClass.getMethod("findByPrimaryKey", new Class[] { long.class });
|
||||
Method findByFoto = fotoClass.getMethod("findByFoto", new Class[] { String.class });
|
||||
Method findByFilenamePuntoFoto = fotoClass.getMethod("findByFilenamePuntoFoto", new Class[] { String.class, long.class });
|
||||
Method findByFilenameGara = fotoClass.getMethod("findByFilenameGara", new Class[] { String.class, long.class });
|
||||
String compositeFileName = faceAiLookupCompositeFileName(photoId);
|
||||
|
||||
if (photoId.matches("^\\d+$")) {
|
||||
Object foto = faceAiLookupInstantiateFoto(fotoClass, constructor, apFull);
|
||||
findByPrimaryKey.invoke(foto, new Object[] { Long.valueOf(Long.parseLong(photoId)) });
|
||||
if (faceAiLookupHasResolvedPhoto(foto)) {
|
||||
return foto;
|
||||
}
|
||||
}
|
||||
|
||||
String[] fotoCandidates = new String[] {
|
||||
photoId,
|
||||
normalizedPhotoId,
|
||||
compositeFileName,
|
||||
fileName
|
||||
};
|
||||
for (int index = 0; index < fotoCandidates.length; index++) {
|
||||
String candidate = faceAiLookupTrim(fotoCandidates[index]);
|
||||
if (candidate.length() == 0 || !faceAiLookupIsSafeValue(candidate)) {
|
||||
continue;
|
||||
}
|
||||
|
||||
Object foto = faceAiLookupInstantiateFoto(fotoClass, constructor, apFull);
|
||||
findByFoto.invoke(foto, new Object[] { candidate });
|
||||
if (faceAiLookupHasResolvedPhoto(foto)) {
|
||||
return foto;
|
||||
}
|
||||
}
|
||||
|
||||
if (fileName.length() > 0 && faceAiLookupIsSafeValue(fileName)) {
|
||||
for (int index = 0; index < puntoFotoIds.length; index++) {
|
||||
if (puntoFotoIds[index] <= 0L) {
|
||||
continue;
|
||||
}
|
||||
|
||||
Object foto = faceAiLookupInstantiateFoto(fotoClass, constructor, apFull);
|
||||
findByFilenamePuntoFoto.invoke(foto, new Object[] { fileName, Long.valueOf(puntoFotoIds[index]) });
|
||||
if (faceAiLookupHasResolvedPhoto(foto)) {
|
||||
return foto;
|
||||
}
|
||||
}
|
||||
|
||||
if (raceId > 0L) {
|
||||
Object foto = faceAiLookupInstantiateFoto(fotoClass, constructor, apFull);
|
||||
findByFilenameGara.invoke(foto, new Object[] { fileName, Long.valueOf(raceId) });
|
||||
if (faceAiLookupHasResolvedPhoto(foto)) {
|
||||
return foto;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (compositeFileName.length() > 0 && raceId > 0L && faceAiLookupIsSafeValue(compositeFileName)) {
|
||||
Object foto = faceAiLookupInstantiateFoto(fotoClass, constructor, apFull);
|
||||
findByFilenameGara.invoke(foto, new Object[] { compositeFileName, Long.valueOf(raceId) });
|
||||
if (faceAiLookupHasResolvedPhoto(foto)) {
|
||||
return foto;
|
||||
}
|
||||
}
|
||||
|
||||
return faceAiLookupInstantiateFoto(fotoClass, constructor, apFull);
|
||||
}
|
||||
|
||||
private Object faceAiLookupResolveApFull(javax.servlet.jsp.PageContext pageContext) {
|
||||
if (pageContext == null) {
|
||||
return null;
|
||||
}
|
||||
|
||||
Object[] candidates = new Object[] {
|
||||
pageContext.findAttribute("user"),
|
||||
pageContext.findAttribute("utenteLogon")
|
||||
};
|
||||
|
||||
for (int index = 0; index < candidates.length; index++) {
|
||||
Object candidate = candidates[index];
|
||||
Object apFull = faceAiLookupInvoke(candidate, "getApFull", null, null);
|
||||
if (apFull != null) {
|
||||
return apFull;
|
||||
}
|
||||
}
|
||||
|
||||
return null;
|
||||
}
|
||||
%>
|
||||
<%
|
||||
response.setHeader("Cache-Control", "no-store, no-cache, must-revalidate, max-age=0");
|
||||
response.setHeader("Pragma", "no-cache");
|
||||
|
||||
String rawPhotoId = request.getParameter("photoId");
|
||||
String photoId = faceAiLookupTrim(rawPhotoId);
|
||||
String normalizedPhotoId = faceAiLookupNormalizePhotoId(request.getParameter("normalizedPhotoId"));
|
||||
String fileName = faceAiLookupNormalizeFileName(request.getParameter("fileName"));
|
||||
long raceId = faceAiLookupLong(request.getParameter("raceId"));
|
||||
long[] puntoFotoIds = faceAiLookupParseLongList(request.getParameter("puntoFotoIds"));
|
||||
|
||||
if (photoId.length() == 0) {
|
||||
response.setStatus(400);
|
||||
out.print("{\"found\":false,\"error\":\"missing-photo-id\"}");
|
||||
return;
|
||||
}
|
||||
|
||||
if (!faceAiLookupIsSafeValue(photoId) || !faceAiLookupIsSafeValue(normalizedPhotoId) || !faceAiLookupIsSafeValue(fileName)) {
|
||||
response.setStatus(400);
|
||||
out.print("{\"found\":false,\"photoId\":\"" + faceAiLookupEscapeJson(photoId) + "\",\"error\":\"invalid-photo-id\"}");
|
||||
return;
|
||||
}
|
||||
|
||||
Object apFull = faceAiLookupResolveApFull(pageContext);
|
||||
if (apFull == null) {
|
||||
response.setStatus(503);
|
||||
out.print("{\"found\":false,\"photoId\":\"" + faceAiLookupEscapeJson(photoId) + "\",\"error\":\"missing-apfull\"}");
|
||||
return;
|
||||
}
|
||||
|
||||
try {
|
||||
Class fotoClass = Class.forName("it.acxent.pg.Foto");
|
||||
Constructor constructor = fotoClass.getConstructor(new Class[] { apFull.getClass() });
|
||||
Object foto = faceAiLookupResolvePhoto(fotoClass, constructor, apFull, photoId, normalizedPhotoId, fileName, raceId, puntoFotoIds);
|
||||
|
||||
long dbState = faceAiLookupLong(faceAiLookupInvoke(foto, "getDBState", null, null));
|
||||
long legacyId = faceAiLookupLong(faceAiLookupInvoke(foto, "getId_foto", null, null));
|
||||
|
||||
if (dbState != 1L || legacyId <= 0L) {
|
||||
response.setStatus(404);
|
||||
out.print("{\"found\":false,\"photoId\":\"" + faceAiLookupEscapeJson(photoId) + "\"}");
|
||||
return;
|
||||
}
|
||||
|
||||
Method getFileName = fotoClass.getMethod("getFileName", new Class[] { String.class });
|
||||
String thumbnailBase = faceAiLookupString(getFileName.invoke(foto, new Object[] { ".jpg" }));
|
||||
String thumbSrc = "foto/" + thumbnailBase + "+tn-" + legacyId + ".jpg";
|
||||
|
||||
out.print("{"
|
||||
+ "\"found\":true,"
|
||||
+ "\"photoId\":\"" + faceAiLookupEscapeJson(photoId) + "\","
|
||||
+ "\"resolvedFile\":\"" + faceAiLookupEscapeJson(faceAiLookupString(faceAiLookupInvoke(foto, "getFile", null, null))) + "\","
|
||||
+ "\"legacyId\":" + legacyId + ","
|
||||
+ "\"thumbSrc\":\"" + faceAiLookupEscapeJson(thumbSrc) + "\""
|
||||
+ "}");
|
||||
} catch (Exception error) {
|
||||
log("FaceAI photo lookup failed for " + photoId, error);
|
||||
response.setStatus(500);
|
||||
out.print("{\"found\":false,\"photoId\":\"" + faceAiLookupEscapeJson(photoId) + "\",\"error\":\"lookup-failed\"}");
|
||||
}
|
||||
%>
|
||||
|
|
@ -1,7 +1,6 @@
|
|||
<?php
|
||||
|
||||
require_once __DIR__ . '/faceai_config.php';
|
||||
require_once __DIR__ . '/faceai_simulator_view.php';
|
||||
|
||||
$config = faceai_config();
|
||||
|
||||
|
|
@ -39,31 +38,28 @@ try {
|
|||
'token' => $token
|
||||
));
|
||||
$result = faceai_fetch_json($bridgeUrl);
|
||||
$returnUrl = (string) ($result['returnUrl'] ?? '');
|
||||
$matches = is_array($result['matches'] ?? null) ? $result['matches'] : array();
|
||||
$photos = array_map(static function ($match) {
|
||||
$photoId = (string) ($match['photoId'] ?? ($match['id'] ?? ''));
|
||||
|
||||
return array(
|
||||
'id' => $photoId,
|
||||
'photoId' => $photoId,
|
||||
'label' => (string) ($match['label'] ?? $photoId),
|
||||
'checkpoint' => (string) ($match['checkpoint'] ?? '-'),
|
||||
'previewUrl' => (string) ($match['previewUrl'] ?? ''),
|
||||
'score' => $match['score'] ?? null,
|
||||
);
|
||||
}, $matches);
|
||||
if ($returnUrl === '') {
|
||||
throw new RuntimeException('Missing legacy return URL.');
|
||||
}
|
||||
|
||||
faceai_sim_render_page(array(
|
||||
'raceId' => (string) ($result['raceId'] ?? ($payload['raceId'] ?? '')),
|
||||
'lang' => (string) ($result['lang'] ?? 'it'),
|
||||
'raceSlug' => (string) ($result['raceId'] ?? ($payload['raceId'] ?? '')),
|
||||
'raceName' => (string) ($result['raceName'] ?? ('Race ' . ($payload['raceId'] ?? ''))),
|
||||
'returnUrl' => (string) ($result['returnUrl'] ?? 'faceai_simulator.php'),
|
||||
'banner' => 'Vista filtrata da FaceAI. Sono state trovate <strong>' . count($photos) . '</strong> foto corrispondenti per l utente corrente.',
|
||||
'totalLabel' => count($photos) . ' foto da FaceAI',
|
||||
'photos' => $photos,
|
||||
'showSimulatorBootstrap' => false
|
||||
));
|
||||
$photoIds = array();
|
||||
foreach ($matches as $match) {
|
||||
$photoId = trim((string) ($match['photoId'] ?? ($match['id'] ?? '')));
|
||||
if ($photoId === '') {
|
||||
continue;
|
||||
}
|
||||
$photoIds[$photoId] = true;
|
||||
}
|
||||
|
||||
header('Location: ' . faceai_build_url($returnUrl, array(
|
||||
'faceaiMatchSource' => 'faceai',
|
||||
'faceaiMatchCount' => count($photoIds),
|
||||
'faceaiPhotoIds' => implode(',', array_keys($photoIds))
|
||||
)), true, 302);
|
||||
exit;
|
||||
} catch (Throwable $error) {
|
||||
faceai_render_message_page('Errore return FaceAI', $error->getMessage(), array(), 500);
|
||||
}
|
||||
|
|
|
|||
|
|
@ -215,7 +215,7 @@ if (!faceAiRaceYear.isEmpty()) {
|
|||
<hr>
|
||||
</div>
|
||||
<div class="col-md-4 col-inline">
|
||||
<p class="lead"><acx:lang>Sono state trovate</acx:lang> <%=list.getTotNumberOfRecords()%> <acx:lang>foto</acx:lang>
|
||||
<p class="lead" id="faceAiResultsSummary"><span id="faceAiPhotoCountLabel"><acx:lang>Sono state trovate</acx:lang></span> <span id="faceAiPhotoCountValue"><%=list.getTotNumberOfRecords()%></span> <span id="faceAiPhotoCountSuffix"><acx:lang>foto</acx:lang></span>
|
||||
<acx:if wherecondition="<%=CR.getFlgVisCompatta()==0%>"><a href='<%=bean.getDescrizioneGaraHtml()+"_garaC-"+bean.getId_gara()+"-"+CR.getId_puntoFoto()+"-"+CR.getTipoPuntoFoto()+"-"+CR.getPageRow()+"-"+CR.getPageNumber()+"-"+langpay ><i class="fa fa-search-minus" title="<acx:lang>visualizzazione compatta</acx:lang>"></i></a></acx:if>
|
||||
<acx:else><a href='<%=bean.getDescrizioneGaraHtml()+"_garaE-"+bean.getId_gara()+"-"+CR.getId_puntoFoto()+"-"+CR.getTipoPuntoFoto()+"-"+CR.getPageRow()+"-"+CR.getPageNumber()+"-"+lang+".html"%>' ><i class="fa fa-search-plus" title="<acx:lang>visualizzazione standard</acx:lang>"></i></a></acx:else>
|
||||
<div id="vis" style="visibility: hidden"></div>
|
||||
|
|
@ -258,10 +258,10 @@ if (!faceAiRaceYear.isEmpty()) {
|
|||
<div class="col-md-10" style="min-height: 500px">
|
||||
<div id="demo">
|
||||
<acx:whilevec rowbeanclass="it.acxent.pg.Foto" vectumerator="list">
|
||||
<acx:if_logon_ok> <a href="javascript:mostraFoto(<%=rowBean.getId_foto()%>)"> <img src="foto/<%=rowBean.getFileName(".jpg")%>+tn-<%=rowBean.getId_foto()%>.jpg" alt="" class="thumb" />
|
||||
<acx:if_logon_ok> <a href="javascript:mostraFoto(<%=rowBean.getId_foto()%>)" data-faceai-photo-id="<%=rowBean.getId_foto()%>"> <img src="foto/<%=rowBean.getFileName(".jpg")%>+tn-<%=rowBean.getId_foto()%>.jpg" alt="" class="thumb" />
|
||||
<div class="caption"><acx:lang>Hits</acx:lang>: <%=rowBean.getImpression()%> - <%=df.format(rowBean.getDataUltimaVisual())%> </div>
|
||||
</a> </acx:if_logon_ok>
|
||||
<acx:else_logon> <a data-toggle="modal" data-target="#ModalNoLog"> <img src="foto/<%=rowBean.getFile()%>?id_foto=<%=rowBean.getId_foto()%>" alt="" class="thumb" />
|
||||
<acx:else_logon> <a data-toggle="modal" data-target="#ModalNoLog" data-faceai-photo-id="<%=rowBean.getId_foto()%>"> <img src="foto/<%=rowBean.getFile()%>?id_foto=<%=rowBean.getId_foto()%>" alt="" class="thumb" />
|
||||
<div class="caption"><acx:lang>Hits</acx:lang>: <%=rowBean.getImpression()%> - <%=df.format(rowBean.getDataUltimaVisual())%> </div>
|
||||
</a> </acx:else_logon>
|
||||
</acx:whilevec>
|
||||
|
|
@ -376,6 +376,8 @@ if (!faceAiRaceYear.isEmpty()) {
|
|||
<script>
|
||||
window.faceAiConfig = window.faceAiConfig || {};
|
||||
window.faceAiConfig.enabled = <%= faceAiFeatureEnabled ? "true" : "false" %>;
|
||||
window.faceAiConfig.lang = "<%= lang %>";
|
||||
window.faceAiConfig.galleryMode = '<%= CR.getFlgVisCompatta()==1 ? "compact" : "standard" %>';
|
||||
</script>
|
||||
|
||||
<script>
|
||||
|
|
|
|||
|
|
@ -215,7 +215,7 @@ if (!faceAiRaceYear.isEmpty()) {
|
|||
<hr>
|
||||
</div>
|
||||
<div class="col-md-4 col-inline">
|
||||
<p class="lead"><acx:lang>Sono state trovate</acx:lang> <%=list.getTotNumberOfRecords()%> <acx:lang>foto</acx:lang>
|
||||
<p class="lead" id="faceAiResultsSummary"><span id="faceAiPhotoCountLabel"><acx:lang>Sono state trovate</acx:lang></span> <span id="faceAiPhotoCountValue"><%=list.getTotNumberOfRecords()%></span> <span id="faceAiPhotoCountSuffix"><acx:lang>foto</acx:lang></span>
|
||||
<acx:if wherecondition="<%=CR.getFlgVisCompatta()==0%>"><a href="<%=bean.getDescrizioneGaraHtml()+"_garaC-"+bean.getId_gara()+"-"+CR.getId_puntoFoto()+"-"+CR.getTipoPuntoFoto()+"-"+CR.getPageRow()+"-"+CR.getPageNumber()+".html"%>"><i class="fa fa-search-minus" title="<acx:lang>visualizzazione compatta</acx:lang>"></i></a></acx:if>
|
||||
<acx:else><a href="<%=bean.getDescrizioneGaraHtml()+"_garaE-"+bean.getId_gara()+"-"+CR.getId_puntoFoto()+"-"+CR.getTipoPuntoFoto()+"-"+CR.getPageRow()+"-"+CR.getPageNumber()+".html"%>"><i class="fa fa-search-plus" title="<acx:lang>visualizzazione standard</acx:lang>"></i></a></acx:else>
|
||||
<div id="vis" style="visibility: hidden"></div>
|
||||
|
|
@ -258,10 +258,10 @@ if (!faceAiRaceYear.isEmpty()) {
|
|||
<div class="col-md-10" style="min-height: 500px">
|
||||
<div id="demo">
|
||||
<acx:whilevec rowbeanclass="it.acxent.pg.Foto" vectumerator="list">
|
||||
<acx:if_logon_ok> <a href="javascript:mostraFoto(<%=rowBean.getId_foto()%>)"> <img src="foto/<%=rowBean.getFileName(".jpg")%>+tn-<%=rowBean.getId_foto()%>.jpg" alt="" class="thumb" />
|
||||
<acx:if_logon_ok> <a href="javascript:mostraFoto(<%=rowBean.getId_foto()%>)" data-faceai-photo-id="<%=rowBean.getId_foto()%>"> <img src="foto/<%=rowBean.getFileName(".jpg")%>+tn-<%=rowBean.getId_foto()%>.jpg" alt="" class="thumb" />
|
||||
<div class="caption"><acx:lang>Hits</acx:lang>: <%=rowBean.getImpression()%> - <%=df.format(rowBean.getDataUltimaVisual())%> </div>
|
||||
</a> </acx:if_logon_ok>
|
||||
<acx:else_logon> <a data-toggle="modal" data-target="#ModalNoLog"> <img src="foto/<%=rowBean.getFile()%>?id_foto=<%=rowBean.getId_foto()%>" alt="" class="thumb" />
|
||||
<acx:else_logon> <a data-toggle="modal" data-target="#ModalNoLog" data-faceai-photo-id="<%=rowBean.getId_foto()%>"> <img src="foto/<%=rowBean.getFile()%>?id_foto=<%=rowBean.getId_foto()%>" alt="" class="thumb" />
|
||||
<div class="caption"><acx:lang>Hits</acx:lang>: <%=rowBean.getImpression()%> - <%=df.format(rowBean.getDataUltimaVisual())%> </div>
|
||||
</a> </acx:else_logon>
|
||||
</acx:whilevec>
|
||||
|
|
@ -376,6 +376,8 @@ if (!faceAiRaceYear.isEmpty()) {
|
|||
<script>
|
||||
window.faceAiConfig = window.faceAiConfig || {};
|
||||
window.faceAiConfig.enabled = <%= faceAiFeatureEnabled ? "true" : "false" %>;
|
||||
window.faceAiConfig.lang = "<%= lang %>";
|
||||
window.faceAiConfig.galleryMode = '<%= CR.getFlgVisCompatta()==1 ? "compact" : "standard" %>';
|
||||
</script>
|
||||
|
||||
<script>
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue