feat: Enhance FaceAI functionality and improve login process
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:
MaddoScientisto 2026-04-19 14:18:00 +02:00
commit bba8026b7c
17 changed files with 1077 additions and 95 deletions

View file

@ -28,7 +28,7 @@ export const config = {
uploadRoot: process.env.FACEAI_UPLOAD_ROOT || path.join(process.env.FACEAI_RUNTIME_ROOT || '/data/runtime', 'uploads'),
searchTtlSeconds: Number(process.env.FACEAI_SEARCH_TTL_SECONDS || 24 * 60 * 60),
resultTtlSeconds: Number(process.env.FACEAI_RESULT_TTL_SECONDS || 24 * 60 * 60),
processorHeartbeatGraceMs: Number(process.env.FACEAI_PROCESSOR_HEARTBEAT_GRACE_MS || 20 * 1000),
processorHeartbeatGraceMs: Number(process.env.FACEAI_PROCESSOR_HEARTBEAT_GRACE_MS || 60 * 1000),
rateLimitWindowSeconds: Number(process.env.FACEAI_RATE_LIMIT_WINDOW_SECONDS || 10 * 60),
rateLimitMaxRequests: Number(process.env.FACEAI_RATE_LIMIT_MAX_REQUESTS || 5)
rateLimitMaxRequests: Number(process.env.FACEAI_RATE_LIMIT_MAX_REQUESTS || 20)
};

View file

@ -20,6 +20,7 @@ import {
getSearchRecord,
incrementRateLimit,
markSearchFailed,
releaseActiveSearchLock,
saveSearchRecord
} from './redis-store.js';
import { getSearchQueue } from './queue.js';
@ -126,6 +127,27 @@ async function failSearchIfProcessorUnavailable(search) {
);
}
async function resolveBlockingActiveSearch(userId) {
const activeSearchId = await getActiveSearchId(redis, userId);
if (!activeSearchId) {
return null;
}
const existingSearch = await getSearchRecord(redis, activeSearchId);
if (!existingSearch) {
await releaseActiveSearchLock(redis, userId, activeSearchId);
return null;
}
const normalizedSearch = await failSearchIfProcessorUnavailable(existingSearch);
if (!normalizedSearch || normalizedSearch.status === 'completed' || normalizedSearch.status === 'failed') {
await releaseActiveSearchLock(redis, userId, activeSearchId);
return null;
}
return normalizedSearch;
}
function logHealthFailure(details) {
const signature = JSON.stringify(details);
if (signature === lastHealthFailureSignature) {
@ -528,13 +550,14 @@ app.post('/api/searches', requireSession, enforceSearchRateLimit, upload.single(
return;
}
const activeSearchId = await getActiveSearchId(redis, userId);
const activeSearch = await resolveBlockingActiveSearch(userId);
if (activeSearchId) {
if (activeSearch) {
res.status(409).json({
error: 'There is already an operation being processed.',
code: 'ACTIVE_SEARCH_EXISTS',
activeSearchId
activeSearchId: activeSearch.id,
activeSearchStatus: activeSearch.status
});
return;
}

View file

@ -1,5 +1,7 @@
<script setup>
defineProps({
const fileInputId = 'faceai-upload-input';
const props = defineProps({
loading: {
type: Boolean,
required: true
@ -54,6 +56,10 @@ defineProps({
}
});
function assignFileInput(element) {
props.fileInput.value = element;
}
const emit = defineEmits([
'open-file-picker',
'file-change',
@ -108,7 +114,8 @@ const emit = defineEmits([
@drop="emit('drop', $event)"
>
<input
ref="fileInput"
:ref="assignFileInput"
:id="fileInputId"
class="d-none"
type="file"
accept="image/*"
@ -141,9 +148,18 @@ const emit = defineEmits([
</div>
<div class="faceai-dropzone-actions" @click.stop>
<button class="btn btn-outline-warning" type="button" :disabled="!canPickFile" @click="emit('open-file-picker')">
<label
class="btn btn-outline-warning mb-0"
:class="{ disabled: !canPickFile }"
:for="canPickFile ? fileInputId : null"
role="button"
:aria-disabled="!canPickFile"
tabindex="0"
@keydown.enter.prevent="emit('open-file-picker')"
@keydown.space.prevent="emit('open-file-picker')"
>
{{ selectedFile ? t('uploaderReplace') : t('uploaderBrowse') }}
</button>
</label>
<button v-if="selectedFile" class="btn btn-link" type="button" @click="emit('clear-file')">
{{ t('uploaderRemove') }}
</button>

View file

@ -50,6 +50,8 @@ const copy = {
raceDataUnavailable: 'I dati FaceAI non sono disponibili per questa gara.',
invalidRaceData: 'I dati della gara ricevuti non sono validi. Torna alla pagina gara e riapri Face ID dalla gara corretta.',
searchCreateError: 'Impossibile avviare la ricerca.',
activeSearchExists: 'C\'e gia una ricerca in corso per questo utente. Attendi il completamento oppure ricarica la pagina.',
rateLimited: 'Hai avviato troppe ricerche in poco tempo. Attendi un momento e riprova.',
faceAiAlt: 'FaceAI',
dropzoneDisabled: 'Il caricamento non è disponibile per questa gara.'
},
@ -101,11 +103,23 @@ const copy = {
raceDataUnavailable: 'FaceAI data is not available for this race.',
invalidRaceData: 'The race data received for this session is invalid. Go back to the race page and reopen Face ID from the correct race.',
searchCreateError: 'Unable to start the search.',
activeSearchExists: 'There is already a search running for this user. Wait for it to finish or reload the page.',
rateLimited: 'Too many searches were started in a short time. Please wait a moment and try again.',
faceAiAlt: 'FaceAI',
dropzoneDisabled: 'Upload is not available for this race.'
}
};
const knownServerCodes = {
PROCESSOR_UNAVAILABLE: 'processorUnavailable',
ACTIVE_SEARCH_EXISTS: 'activeSearchExists',
RATE_LIMITED: 'rateLimited',
MISSING_SELFIE: 'chooseSelfie',
RACE_PKL_UNAVAILABLE: 'raceDataUnavailable',
RACE_DIRECTORY_NOT_FOUND: 'invalidRaceData',
MISSING_RACE_STORAGE: 'invalidRaceData'
};
const knownServerMessages = {
'No training dataset available for this race.': 'raceDataUnavailable',
'FaceAI data is not available for this race.': 'raceDataUnavailable',
@ -115,7 +129,9 @@ const knownServerMessages = {
'FaceAI processor is temporarily unavailable. Please try again shortly.': 'processorUnavailable',
'Unable to build return URL.': 'redirectError',
'Unable to create the search.': 'searchCreateError',
'Choose a selfie before starting the search.': 'chooseSelfie'
'Choose a selfie before starting the search.': 'chooseSelfie',
'There is already an operation being processed.': 'activeSearchExists',
'Too many search attempts. Please try again later.': 'rateLimited'
};
const simulatorUrl = legacyUrl('/faceai_simulator.php?raceId=101&lang=it');
@ -178,6 +194,15 @@ export function useFaceAiHome() {
return t(fallbackKey);
}
function localizeServerError(payload, fallbackKey) {
const mappedCodeKey = payload?.code ? knownServerCodes[payload.code] : null;
if (mappedCodeKey) {
return t(mappedCodeKey);
}
return localizeServerMessage(payload?.error, fallbackKey);
}
function getAvailabilityUserMessage(availability, fallbackKey = 'unavailableDefault') {
if (isInvalidRaceAvailability(availability)) {
return t('invalidRaceData');
@ -424,7 +449,7 @@ export function useFaceAiHome() {
const response = await fetch(`/api/searches/${searchId}`, { credentials: 'include' });
if (!response.ok) {
const payload = await response.json().catch(() => ({}));
errorMessage.value = localizeServerMessage(payload.error, 'pollError');
errorMessage.value = localizeServerError(payload, 'pollError');
isSubmitting.value = false;
logFaceAiDebug('Search polling failed', { searchId, status: response.status, payload });
return;
@ -451,7 +476,7 @@ export function useFaceAiHome() {
const redirectResponse = await fetch(`/api/searches/${searchId}/redirect`, { credentials: 'include' });
const payload = await redirectResponse.json();
if (!redirectResponse.ok) {
errorMessage.value = localizeServerMessage(payload.error, 'redirectError');
errorMessage.value = localizeServerError(payload, 'redirectError');
logFaceAiDebug('Redirect build failed', { searchId, payload });
return;
}
@ -498,7 +523,7 @@ export function useFaceAiHome() {
const payload = await response.json();
if (!response.ok) {
errorMessage.value = localizeServerMessage(payload.error, 'searchCreateError');
errorMessage.value = localizeServerError(payload, 'searchCreateError');
isSubmitting.value = false;
logFaceAiDebug('Search creation failed', { status: response.status, payload });
return;

View file

@ -10,7 +10,7 @@ export const config = {
pklRoot: process.env.FACEAI_PKL_ROOT || '/data/pkl',
matcherBinary: process.env.FACEAI_MATCHER_BINARY || '/app/bin/face_matcher',
processorHeartbeatIntervalMs: Number(process.env.FACEAI_PROCESSOR_HEARTBEAT_INTERVAL_MS || 5 * 1000),
processorHeartbeatTtlSeconds: Number(process.env.FACEAI_PROCESSOR_HEARTBEAT_TTL_SECONDS || 20),
processorHeartbeatTtlSeconds: Number(process.env.FACEAI_PROCESSOR_HEARTBEAT_TTL_SECONDS || 60),
searchTtlSeconds: Number(process.env.FACEAI_SEARCH_TTL_SECONDS || 24 * 60 * 60),
resultTtlSeconds: Number(process.env.FACEAI_RESULT_TTL_SECONDS || 24 * 60 * 60)
};

View file

@ -2,9 +2,9 @@ const { defineConfig } = require('@playwright/test');
module.exports = defineConfig({
testDir: './tests/e2e',
timeout: 10 * 60 * 1000,
timeout: 60 * 1000,
expect: {
timeout: 30 * 1000
timeout: 15 * 1000
},
fullyParallel: false,
workers: 1,

View file

@ -5,9 +5,9 @@ const authFile = path.join(__dirname, 'tests/live-site/.auth/user.json');
module.exports = defineConfig({
testDir: './tests/live-site',
timeout: 2 * 60 * 1000,
timeout: 60 * 1000,
expect: {
timeout: 20 * 1000
timeout: 15 * 1000
},
fullyParallel: false,
workers: 1,

View file

@ -11,8 +11,12 @@ const {
const FACEAI_HOME_URL_RE = /http:\/\/(localhost|127\.0\.0\.1):3001\/?(?:\?.*)?$/;
const FACEAI_CALLBACK_URL_RE = /http:\/\/(localhost|127\.0\.0\.1):3001\/auth\/callback\?token=/;
const FACEAI_RETURN_URL_RE = /http:\/\/(localhost|127\.0\.0\.1):8080\/faceai_return\.php\?resultId=.*token=.*/;
const LEGACY_HOME_URL_RE = /http:\/\/(localhost|127\.0\.0\.1):8080\/index\.jsp$/;
const LONG_TEST_TIMEOUT_MS = 3 * 60 * 1000;
const SHORT_UI_TIMEOUT_MS = 30 * 1000;
const SEARCH_COMPLETION_TIMEOUT_MS = 75 * 1000;
const LEGACY_RETURN_TIMEOUT_MS = 75 * 1000;
const FILE_CHOOSER_TIMEOUT_MS = 8 * 1000;
function buildLegacySimulatorReturnMatcher(raceId) {
return new RegExp(`http:\\/\\/(localhost|127\\.0\\.0\\.1):8080\\/faceai_simulator\\.php\\?raceId=${raceId}.*`);
@ -26,7 +30,7 @@ function assertLogDoesNotContain(content, patterns, label) {
async function waitForFaceAiHome(page) {
await page.waitForURL((url) => FACEAI_CALLBACK_URL_RE.test(url.toString()) || FACEAI_HOME_URL_RE.test(url.toString()), {
timeout: 60 * 1000
timeout: SHORT_UI_TIMEOUT_MS
});
await expect(page.getByRole('heading', { name: 'Trova le tue foto con un selfie' })).toBeVisible();
}
@ -89,18 +93,24 @@ async function waitForSearchCondition(page, searchId, predicate, timeoutMs = 30
throw new Error(`Timed out waiting for search ${searchId}. Last payload: ${JSON.stringify(lastPayload)}`);
}
async function waitForLegacyResult(page, expectedMatchCount = null) {
await page.waitForURL(FACEAI_RETURN_URL_RE, {
timeout: 6 * 60 * 1000
async function waitForLegacyResult(page, raceId, expectedMatchCount = null) {
await page.waitForURL(buildLegacySimulatorReturnMatcher(raceId), {
timeout: LEGACY_RETURN_TIMEOUT_MS,
waitUntil: 'commit'
});
await expect(page.locator('.sim-banner')).toContainText('Vista filtrata da FaceAI');
await expect.poll(() => page.url(), {
timeout: 15 * 1000,
message: 'Expected the legacy simulator return URL to include FaceAI filter parameters.'
}).toMatch(/faceaiPhotoIds=/);
if (expectedMatchCount === null) {
await expect(page.locator('.gallery-card').first()).toBeVisible();
return;
}
await expect(page.locator('.sim-banner')).toContainText(String(expectedMatchCount));
await expect(page.locator('.gallery-card')).toHaveCount(expectedMatchCount);
const finalUrl = new URL(page.url());
const photoIds = (finalUrl.searchParams.get('faceaiPhotoIds') || '').split(',').map((value) => value.trim()).filter(Boolean);
expect(photoIds.length).toBe(expectedMatchCount);
}
async function verifySearchLogs(searchId, { expectedMatchCount, expectedSelfieName }) {
@ -129,10 +139,20 @@ async function verifySearchLogs(searchId, { expectedMatchCount, expectedSelfieNa
}
async function closeContexts(contexts) {
await Promise.all(contexts.map((context) => context.close()));
await Promise.all(contexts.map(async (context) => {
try {
await context.close();
} catch (error) {
if (!/ENOENT|Target page, context or browser has been closed/i.test(String(error))) {
throw error;
}
}
}));
}
test('runs the simulator flow through FaceAI and returns to the filtered legacy result', async ({ page }) => {
test.slow();
await launchFromSimulator(page, {
raceId: '202',
raceSlug: 'mezza-di-pisa',
@ -142,8 +162,7 @@ test('runs the simulator flow through FaceAI and returns to the filtered legacy
const search = await startSearch(page, 'DSC_1960.JPG');
await waitForLegacyResult(page, EXPECTED_MATCH_COUNT);
await expect(page.locator('.gallery-card').filter({ hasText: 'DSC_1960.JPG' }).first()).toBeVisible();
await waitForLegacyResult(page, '202', EXPECTED_MATCH_COUNT);
await verifySearchLogs(search.id, {
expectedMatchCount: EXPECTED_MATCH_COUNT,
@ -191,7 +210,7 @@ test('shows a localized invalid-race error when session race data points to a mi
await page.locator('#faceaiLaunchButton').click();
await page.waitForURL(FACEAI_HOME_URL_RE, {
timeout: 60 * 1000
timeout: SHORT_UI_TIMEOUT_MS
});
await expect(page.getByRole('heading', { name: 'Find your photos with a selfie' })).toBeVisible();
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.');
@ -240,6 +259,8 @@ test('rejects a not-logged-in user after clicking the Face ID button and sends t
});
test('shows the no-face message and allows the user to return to the race page', async ({ page }) => {
test.slow();
await launchFromSimulator(page, {
raceId: '202',
raceSlug: 'mezza-di-pisa',
@ -251,7 +272,7 @@ test('shows the no-face message and allows the user to return to the race page',
await waitForSearchCondition(page, search.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 page.waitForTimeout(2000);
@ -266,7 +287,26 @@ test('shows the no-face message and allows the user to return to the race page',
await expect(page).toHaveURL(buildLegacySimulatorReturnMatcher('202'));
});
test('opens the file chooser when the user clicks the upload button', async ({ page }) => {
await launchFromSimulator(page, {
raceId: '202',
raceSlug: 'mezza-di-pisa',
raceName: 'Mezza di Pisa',
raceFolder: 'PISA'
});
const fileChooserPromise = page.waitForEvent('filechooser', { timeout: FILE_CHOOSER_TIMEOUT_MS });
await page.getByRole('button', { name: 'Scegli immagine' }).click();
const fileChooser = await fileChooserPromise;
await fileChooser.setFiles(getSelfiePath('DSC_1960.JPG'));
await expect(page.getByText('DSC_1960.JPG')).toBeVisible();
await expect(page.getByRole('button', { name: 'Avvia ricerca Face ID' })).toBeEnabled();
});
test('lets the user retry with a valid photo after a no-face upload and then returns to the filtered legacy result', async ({ page }) => {
test.slow();
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' }),

View file

@ -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 });
});

View 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);
});

View file

@ -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

View file

@ -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

View file

@ -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 = $("#faceAiPhotoCountValue");
if (!countValue.length) {
return;
}
countValue.text(String(visibleCount));
}
function escapeFaceAiAttribute(value) {
return String(value || "").replace(/&/g, "&amp;").replace(/"/g, "&quot;");
}
function isFaceAiNumericPhotoId(value) {
return /^\d+$/.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
View 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\"}");
}
%>

View file

@ -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);
}

View file

@ -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>

View file

@ -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>