Версия цифровой рецепции с резализованным механизмом отслеживания трека пациента по зонам
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import { PrismaClient } from '@reception/db';
import { ApiClient, FaceServiceClient } from './clients.js';
import { makeEmbedding, embeddingFingerprint } from './embedding.js';
import type { Scenario } from './types.js';
export interface RunOptions {
scenario: Scenario;
apiBaseUrl: string;
faceServiceUrl: string;
prisma: PrismaClient;
realtime: boolean;
}
export interface RunResult {
trackIds: string[];
embeddingsSaved: number;
eventsSent: number;
visitCreated?: { visitId: string; patientId: string; confidence: number } | null;
}
/**
* Прогоняет сценарий: создаёт треки (по одному на камеру в сценарии),
* сохраняет эмбеддинги, шлёт события. Если scenario.triggerRecognition —
* после всех событий пытается узнать persona и создать Visit.
*/
export async function runScenario(opts: RunOptions): Promise<RunResult> {
const { scenario, apiBaseUrl, faceServiceUrl, prisma } = opts;
const api = new ApiClient(apiBaseUrl);
const face = new FaceServiceClient(faceServiceUrl);
const baseTime = new Date();
const personaEmbedding = makeEmbedding(scenario.personaSeed, 0);
console.log(
`[scenario:${scenario.name}] persona seed=${scenario.personaSeed}, fp=${embeddingFingerprint(personaEmbedding)}`,
);
const tracksByCamera = new Map<string, { trackId: string; cameraId: string; zoneCode: string }>();
const result: RunResult = { trackIds: [], embeddingsSaved: 0, eventsSent: 0, visitCreated: null };
for (const event of scenario.events) {
const occurredAt = new Date(baseTime.getTime() + event.offsetSec * 1000);
let track = tracksByCamera.get(event.cameraName);
if (!track) {
const created = await api.createTrack(event.cameraName, occurredAt);
track = { trackId: created.trackId, cameraId: created.cameraId, zoneCode: event.zoneCode };
tracksByCamera.set(event.cameraName, track);
result.trackIds.push(track.trackId);
// Сохраняем N эмбеддингов с малым jitter — чтобы было что искать.
for (let i = 0; i < scenario.embeddingsPerCamera; i++) {
const jittered = makeEmbedding(scenario.personaSeed, 0.0001 * i);
await face.saveRawEmbedding({
embedding: jittered,
trackId: track.trackId,
cameraId: track.cameraId,
capturedAt: new Date(occurredAt.getTime() + i * 100),
});
result.embeddingsSaved += 1;
}
}
if (opts.realtime && event.offsetSec > 0) {
await sleep(Math.min(event.offsetSec * 1000, 5000));
}
await api.addEvent({
trackId: track.trackId,
type: event.type,
cameraName: event.cameraName,
zoneCode: event.zoneCode,
occurredAt,
});
result.eventsSent += 1;
console.log(
`[scenario:${scenario.name}] event ${event.type} on ${event.cameraName} at +${event.offsetSec}s`,
);
}
if (scenario.triggerRecognition) {
const match = await face.recognizeByEmbedding(personaEmbedding);
if (match) {
console.log(
`[scenario:${scenario.name}] recognized patient ${match.patient_id} (confidence=${match.confidence})`,
);
// Если уже есть Visit для этого пациента в окне ~5 мин — переиспользуем (idempotent).
const recentVisit = await prisma.visit.findFirst({
where: {
patientId: match.patient_id,
arrivedAt: { gte: new Date(Date.now() - 5 * 60 * 1000) },
},
});
if (recentVisit) {
result.visitCreated = {
visitId: recentVisit.id,
patientId: match.patient_id,
confidence: match.confidence,
};
} else {
const visit = await prisma.visit.create({
data: { patientId: match.patient_id, arrivedAt: baseTime },
});
result.visitCreated = {
visitId: visit.id,
patientId: match.patient_id,
confidence: match.confidence,
};
}
} else {
console.log(`[scenario:${scenario.name}] persona не узнан (нет enrolled-эмбеддинга)`);
}
}
console.log(
`[scenario:${scenario.name}] DONE — tracks=${result.trackIds.length}, embeddings=${result.embeddingsSaved}, events=${result.eventsSent}, visit=${result.visitCreated ? 'created' : 'none'}`,
);
return result;
}
function sleep(ms: number): Promise<void> {
return new Promise((r) => setTimeout(r, ms));
}