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Phase 1 — live POI + neighborhood score on project detail
- du-an-detail-client fetches `/analytics/pois/nearby` + `/analytics/neighborhoods/:district/score`
- Falls back to admin-entered `project.pois` / `neighborhoodScores` when endpoint returns nothing
- Adds total-score badge next to the radar chart (matches listings)
Phase 2 — project personas derivation (`lib/project-personas.ts`)
- Derives 8 personas from project-specific signals: property-type mix, amenity keywords,
developer reputation, completion timing, status, live score + POIs
- Merges admin-authored `suitableFor` chips (badged "Chủ đầu tư chọn") with derived chips
- `composeWhyThisProject()` narrative used as fallback when admin hasn't authored one;
badged "Tự động tổng hợp" so users know it's derived
Phase 3 — AI advisor for projects
- Extract shared Anthropic transport + JSON parsers to
`analytics/application/queries/_shared/ai-json-client.ts` (dual auth: x-api-key +
Bearer for proxy gateways)
- Refactor `GetListingAiAdviceHandler` to use the shared client
- New `GetProjectAiAdviceHandler` (CQRS) pulls project detail + optional POIs + score,
builds project-flavored prompt, returns `{ advice: { summary, pros, cons, suitableFor } }`.
No valuation block — project price is a range, not a single unit.
- `POST /analytics/projects/:id/ai-advice` endpoint (JWT-guarded)
- `ErrorCode.PROJECT_NOT_FOUND` added
- Frontend: `ProjectAiAdviceCard` mirrors listings card minus valuation, with loading /
not-configured (503) / error states; dedupes AI-suggested personas against existing chips
Phase 4 — Mapbox LocationPicker in project create form
- New project page now renders `<LocationPicker>` with Vietnam-scoped geocoder; click /
drag / search autofills lat+lng and (when empty) address/ward/district/city
- Edit page notes location immutability — backend `UpdateProjectCommand` does not yet
accept lat/lng/address mutations (follow-up needed to enable editing coords)
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
366 lines
13 KiB
TypeScript
366 lines
13 KiB
TypeScript
/**
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* Derive "Phù hợp với ai" personas and compose a "Vì sao nên chọn dự án này"
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* narrative for a Residential Project (dự án của chủ đầu tư).
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*
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* Mirrors `lib/listing-personas.ts` but keys off project-specific signals —
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* developer reputation, amenity mix, status, completion timing, property-type
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* composition, price tier — instead of per-unit fields (bedrooms/area).
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*
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* Purely client-side; no new backend fields required. Admin-authored
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* `project.suitableFor` / `project.whyThisLocation` are merged on top.
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*/
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import {
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Baby,
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HeartPulse,
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Home,
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Laptop,
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Shield,
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TrainFront,
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Trees,
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TrendingUp,
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type LucideIcon,
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} from 'lucide-react';
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import type { NearbyPOICategory } from './analytics-api';
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import type { ProjectDetail } from './du-an-api';
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import type { NeighborhoodScoreResult } from './listings-api';
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export type ProjectPersonaKey =
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| 'family_with_kids'
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| 'young_family'
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| 'commuter'
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| 'single_young'
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| 'nature_lover'
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| 'long_term_investor'
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| 'safety_first'
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| 'senior';
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export interface ProjectPersona {
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key: ProjectPersonaKey;
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label: string;
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icon: LucideIcon;
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reason: string;
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}
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const PERSONA_LABELS: Record<ProjectPersonaKey, { label: string; icon: LucideIcon }> = {
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family_with_kids: { label: 'Gia đình có con nhỏ', icon: Baby },
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young_family: { label: 'Gia đình trẻ', icon: Home },
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commuter: { label: 'Người đi làm xa', icon: TrainFront },
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single_young: { label: 'Người trẻ / độc thân', icon: Laptop },
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nature_lover: { label: 'Yêu thiên nhiên', icon: Trees },
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long_term_investor: { label: 'Nhà đầu tư dài hạn', icon: TrendingUp },
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safety_first: { label: 'Ưu tiên an ninh', icon: Shield },
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senior: { label: 'Người lớn tuổi', icon: HeartPulse },
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};
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type POICountByCategory = Partial<Record<NearbyPOICategory, number>>;
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function countPOIs(pois: Array<{ category: NearbyPOICategory }>): POICountByCategory {
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const counts: POICountByCategory = {};
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for (const p of pois) {
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counts[p.category] = (counts[p.category] ?? 0) + 1;
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}
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return counts;
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}
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/** Case-insensitive keyword hit across amenity.name + amenity.category. */
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function amenityMatches(project: ProjectDetail, keywords: string[]): number {
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const hay = project.amenities
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.flatMap((a) => [a.name, a.category])
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.join(' | ')
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.toLowerCase();
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let hits = 0;
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for (const kw of keywords) {
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if (hay.includes(kw.toLowerCase())) hits += 1;
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}
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return hits;
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}
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function hasPropertyType(
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project: ProjectDetail,
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types: Array<ProjectDetail['propertyTypes'][number]>,
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): boolean {
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return project.propertyTypes.some((t) => types.includes(t));
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}
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/** Months until completionDate, or null if missing / already passed. */
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function monthsUntilCompletion(project: ProjectDetail): number | null {
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if (!project.completionDate) return null;
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const target = new Date(project.completionDate).getTime();
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const now = Date.now();
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if (Number.isNaN(target) || target <= now) return null;
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return Math.round((target - now) / (1000 * 60 * 60 * 24 * 30));
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}
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export function deriveProjectPersonas(
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project: ProjectDetail,
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score: NeighborhoodScoreResult | null,
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pois: Array<{ category: NearbyPOICategory }>,
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): ProjectPersona[] {
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const poiCount = countPOIs(pois);
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const out: ProjectPersona[] = [];
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// ─── Gia đình có con nhỏ ──────────────────────────────────
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// Điểm giáo dục tốt + dự án có loại hình phù hợp cho gia đình (VILLA /
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// TOWNHOUSE / căn hộ) hoặc amenities có khu vui chơi / mẫu giáo.
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const kidAmenities = amenityMatches(project, [
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'trẻ em',
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'mẫu giáo',
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'trường',
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'kids',
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'playground',
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'khu vui chơi',
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]);
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if (
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(score && score.educationScore >= 7) ||
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kidAmenities > 0 ||
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hasPropertyType(project, ['VILLA', 'TOWNHOUSE'])
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) {
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const schools = poiCount.school ?? 0;
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const reasonBits: string[] = [];
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if (score && score.educationScore >= 7)
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reasonBits.push(`điểm giáo dục ${score.educationScore.toFixed(1)}/10`);
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if (schools > 0) reasonBits.push(`${schools} trường học gần`);
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if (kidAmenities > 0) reasonBits.push(`có ${kidAmenities} tiện ích cho trẻ em`);
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if (hasPropertyType(project, ['VILLA', 'TOWNHOUSE']))
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reasonBits.push('có biệt thự / nhà phố');
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out.push({
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...PERSONA_LABELS.family_with_kids,
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key: 'family_with_kids',
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reason: reasonBits.length > 0
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? `${reasonBits.slice(0, 2).join(', ')}.`
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: 'Phù hợp cho gia đình có con nhỏ.',
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});
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}
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// ─── Gia đình trẻ ──────────────────────────────────────────
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// APARTMENT + y tế tốt (2BR không hard-code vì project là tổ hợp).
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if (
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hasPropertyType(project, ['APARTMENT']) &&
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score &&
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score.healthcareScore >= 7
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) {
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const hospitals = poiCount.hospital ?? 0;
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out.push({
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...PERSONA_LABELS.young_family,
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key: 'young_family',
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reason: hospitals > 0
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? `Có ${hospitals} bệnh viện/phòng khám gần, y tế ${score.healthcareScore.toFixed(1)}/10.`
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: `Y tế khu vực đạt ${score.healthcareScore.toFixed(1)}/10.`,
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});
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}
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// ─── Người đi làm xa ───────────────────────────────────────
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// Giao thông tốt hoặc có nhiều điểm metro/bus gần.
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const transitCount = poiCount.transit ?? 0;
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if ((score && score.transportScore >= 7) || transitCount >= 2) {
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out.push({
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...PERSONA_LABELS.commuter,
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key: 'commuter',
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reason: transitCount >= 2
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? `${transitCount} điểm metro/bus trong 2km, giao thông ${score?.transportScore.toFixed(1) ?? '?'}/10.`
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: `Giao thông ${score?.transportScore.toFixed(1) ?? '?'}/10.`,
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});
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}
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// ─── Người trẻ / độc thân ─────────────────────────────────
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// APARTMENT + shopping/restaurants tốt.
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const restaurantCount = poiCount.restaurant ?? 0;
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const shoppingCount = poiCount.shopping ?? 0;
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if (
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hasPropertyType(project, ['APARTMENT']) &&
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score &&
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(score.shoppingScore >= 7 || restaurantCount >= 2)
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) {
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const detail: string[] = [];
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if (restaurantCount >= 2) detail.push(`${restaurantCount} nhà hàng/quán cafe`);
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if (shoppingCount >= 1) detail.push(`${shoppingCount} TTTM/siêu thị`);
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detail.push(`mua sắm ${score.shoppingScore.toFixed(1)}/10`);
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out.push({
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...PERSONA_LABELS.single_young,
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key: 'single_young',
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reason: `Gần ${detail.slice(0, 2).join(', ')}.`,
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});
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}
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// ─── Yêu thiên nhiên ──────────────────────────────────────
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// Môi trường tốt HOẶC có công viên gần HOẶC amenities có hồ bơi/công viên/cây xanh.
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const greenAmenities = amenityMatches(project, [
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'hồ bơi',
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'công viên',
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'cây xanh',
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'hồ cảnh quan',
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'pool',
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'garden',
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]);
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const parkCount = poiCount.park ?? 0;
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if ((score && score.greeneryScore >= 7) || parkCount >= 1 || greenAmenities >= 2) {
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const bits: string[] = [];
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if (score && score.greeneryScore >= 7)
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bits.push(`môi trường ${score.greeneryScore.toFixed(1)}/10`);
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if (parkCount > 0) bits.push(`${parkCount} công viên gần`);
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if (greenAmenities > 0) bits.push(`${greenAmenities} tiện ích xanh nội khu`);
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out.push({
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...PERSONA_LABELS.nature_lover,
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key: 'nature_lover',
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reason: bits.slice(0, 2).join(', ') + '.',
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});
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}
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// ─── Ưu tiên an ninh ──────────────────────────────────────
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// Safety score cao hoặc amenities có security/camera/bảo vệ 24/24.
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const safetyAmenities = amenityMatches(project, [
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'bảo vệ',
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'an ninh',
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'camera',
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'security',
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'24/7',
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'24/24',
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]);
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if ((score && score.safetyScore >= 8) || safetyAmenities >= 2) {
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const parts: string[] = [];
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if (score && score.safetyScore >= 8) parts.push(`an ninh ${score.safetyScore.toFixed(1)}/10`);
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if (safetyAmenities > 0) parts.push(`${safetyAmenities} lớp bảo vệ nội khu`);
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out.push({
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...PERSONA_LABELS.safety_first,
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key: 'safety_first',
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reason: parts.join(', ') + '.',
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});
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}
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// ─── Người lớn tuổi ───────────────────────────────────────
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// Y tế + môi trường đều cao, ưu tiên dự án đã hoặc sắp bàn giao.
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const hospitals = poiCount.hospital ?? 0;
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const handoverSoon =
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project.status === 'HANDOVER' ||
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project.status === 'COMPLETED' ||
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(monthsUntilCompletion(project) ?? 99) <= 6;
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if (
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score &&
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score.healthcareScore >= 8 &&
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score.greeneryScore >= 6 &&
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handoverSoon
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) {
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out.push({
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...PERSONA_LABELS.senior,
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key: 'senior',
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reason: hospitals > 0
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? `${hospitals} bệnh viện gần, y tế ${score.healthcareScore.toFixed(1)}/10, môi trường ${score.greeneryScore.toFixed(1)}/10.`
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: `Y tế ${score.healthcareScore.toFixed(1)}/10, môi trường ${score.greeneryScore.toFixed(1)}/10.`,
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});
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}
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// ─── Nhà đầu tư dài hạn ───────────────────────────────────
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// Dự án đang xây / quy hoạch + CĐT có uy tín (>=5 dự án) + khu vực tốt
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// + giao thông >= 7 (tiềm năng cho thuê / tăng giá).
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const developerProven = project.developer.totalProjects >= 5;
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const earlyStage =
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project.status === 'PLANNING' || project.status === 'UNDER_CONSTRUCTION';
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if (
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earlyStage &&
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developerProven &&
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score &&
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score.totalScore >= 7 &&
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score.transportScore >= 7
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) {
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const months = monthsUntilCompletion(project);
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const timingBit = months != null ? `bàn giao sau ~${months} tháng` : 'bàn giao tương lai';
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out.push({
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...PERSONA_LABELS.long_term_investor,
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key: 'long_term_investor',
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reason: `CĐT ${project.developer.totalProjects} dự án, khu vực ${score.totalScore.toFixed(1)}/10, ${timingBit}.`,
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});
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}
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return out;
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}
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/**
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* Compose a short narrative highlighting the strongest 2-3 reasons to choose
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* this project. Returns null when there isn't enough signal. Blends live
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* neighborhood score with project-specific advantages (developer, amenity mix,
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* status) so the narrative is distinct from the listings version.
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*/
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export function composeWhyThisProject(
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project: ProjectDetail,
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score: NeighborhoodScoreResult | null,
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pois: Array<{ category: NearbyPOICategory }>,
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): string | null {
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const parts: string[] = [];
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const poiCount = countPOIs(pois);
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// Location highlights from the score radar.
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if (score) {
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const scoreEntries: Array<{ label: string; score: number; detail: string }> = [
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{
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label: 'giáo dục',
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score: score.educationScore,
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detail: poiCount.school
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? `${poiCount.school} trường học gần`
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: 'hệ thống trường đa dạng',
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},
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{
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label: 'y tế',
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score: score.healthcareScore,
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detail: poiCount.hospital
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? `${poiCount.hospital} bệnh viện trong 2km`
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: 'tiện ích y tế đầy đủ',
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},
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{
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label: 'giao thông',
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score: score.transportScore,
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detail: poiCount.transit
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? `${poiCount.transit} điểm metro/bus gần`
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: 'dễ kết nối các khu vực khác',
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},
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{
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label: 'mua sắm',
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score: score.shoppingScore,
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detail: poiCount.shopping
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? `${poiCount.shopping} siêu thị/TTTM gần`
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: 'nhiều lựa chọn mua sắm',
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},
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{
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label: 'môi trường',
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score: score.greeneryScore,
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detail: poiCount.park ? `${poiCount.park} công viên gần` : 'không gian xanh tốt',
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},
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{ label: 'an ninh', score: score.safetyScore, detail: 'khu dân cư yên tĩnh' },
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];
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const highlights = scoreEntries
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.filter((e) => e.score >= 7)
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.sort((a, b) => b.score - a.score)
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.slice(0, 2);
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for (const h of highlights) {
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parts.push(
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`${h.label.charAt(0).toUpperCase()}${h.label.slice(1)} đạt ${h.score.toFixed(1)}/10 (${h.detail})`,
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);
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}
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}
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// Project-level advantage: developer reputation.
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if (project.developer.totalProjects >= 5) {
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parts.push(
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`CĐT ${project.developer.name} đã triển khai ${project.developer.totalProjects} dự án`,
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);
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}
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// Amenity density highlight.
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if (project.amenities.length >= 10) {
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parts.push(`${project.amenities.length} tiện ích nội khu đa dạng`);
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}
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// Timing advantage.
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const months = monthsUntilCompletion(project);
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if (project.status === 'COMPLETED') {
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parts.push('dự án đã hoàn thành, vào ở ngay');
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} else if (project.status === 'HANDOVER') {
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parts.push('đang bàn giao, sẵn sàng nhận nhà');
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} else if (months != null && months <= 12) {
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parts.push(`dự kiến bàn giao sau ~${months} tháng`);
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}
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if (parts.length === 0) return null;
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return parts.slice(0, 4).join('. ') + '.';
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}
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