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goodgo-platform/apps/web/lib/project-personas.ts
Ho Ngoc Hai dd3ad4aeca
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feat(projects): bring residential-project detail to parity with listings (4 phases)
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>
2026-04-20 17:53:19 +07:00

366 lines
13 KiB
TypeScript

/**
* Derive "Phù hợp với ai" personas and compose a "Vì sao nên chọn dự án này"
* narrative for a Residential Project (dự án của chủ đầu tư).
*
* Mirrors `lib/listing-personas.ts` but keys off project-specific signals —
* developer reputation, amenity mix, status, completion timing, property-type
* composition, price tier — instead of per-unit fields (bedrooms/area).
*
* Purely client-side; no new backend fields required. Admin-authored
* `project.suitableFor` / `project.whyThisLocation` are merged on top.
*/
import {
Baby,
HeartPulse,
Home,
Laptop,
Shield,
TrainFront,
Trees,
TrendingUp,
type LucideIcon,
} from 'lucide-react';
import type { NearbyPOICategory } from './analytics-api';
import type { ProjectDetail } from './du-an-api';
import type { NeighborhoodScoreResult } from './listings-api';
export type ProjectPersonaKey =
| 'family_with_kids'
| 'young_family'
| 'commuter'
| 'single_young'
| 'nature_lover'
| 'long_term_investor'
| 'safety_first'
| 'senior';
export interface ProjectPersona {
key: ProjectPersonaKey;
label: string;
icon: LucideIcon;
reason: string;
}
const PERSONA_LABELS: Record<ProjectPersonaKey, { label: string; icon: LucideIcon }> = {
family_with_kids: { label: 'Gia đình có con nhỏ', icon: Baby },
young_family: { label: 'Gia đình trẻ', icon: Home },
commuter: { label: 'Người đi làm xa', icon: TrainFront },
single_young: { label: 'Người trẻ / độc thân', icon: Laptop },
nature_lover: { label: 'Yêu thiên nhiên', icon: Trees },
long_term_investor: { label: 'Nhà đầu tư dài hạn', icon: TrendingUp },
safety_first: { label: 'Ưu tiên an ninh', icon: Shield },
senior: { label: 'Người lớn tuổi', icon: HeartPulse },
};
type POICountByCategory = Partial<Record<NearbyPOICategory, number>>;
function countPOIs(pois: Array<{ category: NearbyPOICategory }>): POICountByCategory {
const counts: POICountByCategory = {};
for (const p of pois) {
counts[p.category] = (counts[p.category] ?? 0) + 1;
}
return counts;
}
/** Case-insensitive keyword hit across amenity.name + amenity.category. */
function amenityMatches(project: ProjectDetail, keywords: string[]): number {
const hay = project.amenities
.flatMap((a) => [a.name, a.category])
.join(' | ')
.toLowerCase();
let hits = 0;
for (const kw of keywords) {
if (hay.includes(kw.toLowerCase())) hits += 1;
}
return hits;
}
function hasPropertyType(
project: ProjectDetail,
types: Array<ProjectDetail['propertyTypes'][number]>,
): boolean {
return project.propertyTypes.some((t) => types.includes(t));
}
/** Months until completionDate, or null if missing / already passed. */
function monthsUntilCompletion(project: ProjectDetail): number | null {
if (!project.completionDate) return null;
const target = new Date(project.completionDate).getTime();
const now = Date.now();
if (Number.isNaN(target) || target <= now) return null;
return Math.round((target - now) / (1000 * 60 * 60 * 24 * 30));
}
export function deriveProjectPersonas(
project: ProjectDetail,
score: NeighborhoodScoreResult | null,
pois: Array<{ category: NearbyPOICategory }>,
): ProjectPersona[] {
const poiCount = countPOIs(pois);
const out: ProjectPersona[] = [];
// ─── Gia đình có con nhỏ ──────────────────────────────────
// Điểm giáo dục tốt + dự án có loại hình phù hợp cho gia đình (VILLA /
// TOWNHOUSE / căn hộ) hoặc amenities có khu vui chơi / mẫu giáo.
const kidAmenities = amenityMatches(project, [
'trẻ em',
'mẫu giáo',
'trường',
'kids',
'playground',
'khu vui chơi',
]);
if (
(score && score.educationScore >= 7) ||
kidAmenities > 0 ||
hasPropertyType(project, ['VILLA', 'TOWNHOUSE'])
) {
const schools = poiCount.school ?? 0;
const reasonBits: string[] = [];
if (score && score.educationScore >= 7)
reasonBits.push(`điểm giáo dục ${score.educationScore.toFixed(1)}/10`);
if (schools > 0) reasonBits.push(`${schools} trường học gần`);
if (kidAmenities > 0) reasonBits.push(`${kidAmenities} tiện ích cho trẻ em`);
if (hasPropertyType(project, ['VILLA', 'TOWNHOUSE']))
reasonBits.push('có biệt thự / nhà phố');
out.push({
...PERSONA_LABELS.family_with_kids,
key: 'family_with_kids',
reason: reasonBits.length > 0
? `${reasonBits.slice(0, 2).join(', ')}.`
: 'Phù hợp cho gia đình có con nhỏ.',
});
}
// ─── Gia đình trẻ ──────────────────────────────────────────
// APARTMENT + y tế tốt (2BR không hard-code vì project là tổ hợp).
if (
hasPropertyType(project, ['APARTMENT']) &&
score &&
score.healthcareScore >= 7
) {
const hospitals = poiCount.hospital ?? 0;
out.push({
...PERSONA_LABELS.young_family,
key: 'young_family',
reason: hospitals > 0
? `${hospitals} bệnh viện/phòng khám gần, y tế ${score.healthcareScore.toFixed(1)}/10.`
: `Y tế khu vực đạt ${score.healthcareScore.toFixed(1)}/10.`,
});
}
// ─── Người đi làm xa ───────────────────────────────────────
// Giao thông tốt hoặc có nhiều điểm metro/bus gần.
const transitCount = poiCount.transit ?? 0;
if ((score && score.transportScore >= 7) || transitCount >= 2) {
out.push({
...PERSONA_LABELS.commuter,
key: 'commuter',
reason: transitCount >= 2
? `${transitCount} điểm metro/bus trong 2km, giao thông ${score?.transportScore.toFixed(1) ?? '?'}/10.`
: `Giao thông ${score?.transportScore.toFixed(1) ?? '?'}/10.`,
});
}
// ─── Người trẻ / độc thân ─────────────────────────────────
// APARTMENT + shopping/restaurants tốt.
const restaurantCount = poiCount.restaurant ?? 0;
const shoppingCount = poiCount.shopping ?? 0;
if (
hasPropertyType(project, ['APARTMENT']) &&
score &&
(score.shoppingScore >= 7 || restaurantCount >= 2)
) {
const detail: string[] = [];
if (restaurantCount >= 2) detail.push(`${restaurantCount} nhà hàng/quán cafe`);
if (shoppingCount >= 1) detail.push(`${shoppingCount} TTTM/siêu thị`);
detail.push(`mua sắm ${score.shoppingScore.toFixed(1)}/10`);
out.push({
...PERSONA_LABELS.single_young,
key: 'single_young',
reason: `Gần ${detail.slice(0, 2).join(', ')}.`,
});
}
// ─── Yêu thiên nhiên ──────────────────────────────────────
// Môi trường tốt HOẶC có công viên gần HOẶC amenities có hồ bơi/công viên/cây xanh.
const greenAmenities = amenityMatches(project, [
'hồ bơi',
'công viên',
'cây xanh',
'hồ cảnh quan',
'pool',
'garden',
]);
const parkCount = poiCount.park ?? 0;
if ((score && score.greeneryScore >= 7) || parkCount >= 1 || greenAmenities >= 2) {
const bits: string[] = [];
if (score && score.greeneryScore >= 7)
bits.push(`môi trường ${score.greeneryScore.toFixed(1)}/10`);
if (parkCount > 0) bits.push(`${parkCount} công viên gần`);
if (greenAmenities > 0) bits.push(`${greenAmenities} tiện ích xanh nội khu`);
out.push({
...PERSONA_LABELS.nature_lover,
key: 'nature_lover',
reason: bits.slice(0, 2).join(', ') + '.',
});
}
// ─── Ưu tiên an ninh ──────────────────────────────────────
// Safety score cao hoặc amenities có security/camera/bảo vệ 24/24.
const safetyAmenities = amenityMatches(project, [
'bảo vệ',
'an ninh',
'camera',
'security',
'24/7',
'24/24',
]);
if ((score && score.safetyScore >= 8) || safetyAmenities >= 2) {
const parts: string[] = [];
if (score && score.safetyScore >= 8) parts.push(`an ninh ${score.safetyScore.toFixed(1)}/10`);
if (safetyAmenities > 0) parts.push(`${safetyAmenities} lớp bảo vệ nội khu`);
out.push({
...PERSONA_LABELS.safety_first,
key: 'safety_first',
reason: parts.join(', ') + '.',
});
}
// ─── Người lớn tuổi ───────────────────────────────────────
// Y tế + môi trường đều cao, ưu tiên dự án đã hoặc sắp bàn giao.
const hospitals = poiCount.hospital ?? 0;
const handoverSoon =
project.status === 'HANDOVER' ||
project.status === 'COMPLETED' ||
(monthsUntilCompletion(project) ?? 99) <= 6;
if (
score &&
score.healthcareScore >= 8 &&
score.greeneryScore >= 6 &&
handoverSoon
) {
out.push({
...PERSONA_LABELS.senior,
key: 'senior',
reason: hospitals > 0
? `${hospitals} bệnh viện gần, y tế ${score.healthcareScore.toFixed(1)}/10, môi trường ${score.greeneryScore.toFixed(1)}/10.`
: `Y tế ${score.healthcareScore.toFixed(1)}/10, môi trường ${score.greeneryScore.toFixed(1)}/10.`,
});
}
// ─── Nhà đầu tư dài hạn ───────────────────────────────────
// Dự án đang xây / quy hoạch + CĐT có uy tín (>=5 dự án) + khu vực tốt
// + giao thông >= 7 (tiềm năng cho thuê / tăng giá).
const developerProven = project.developer.totalProjects >= 5;
const earlyStage =
project.status === 'PLANNING' || project.status === 'UNDER_CONSTRUCTION';
if (
earlyStage &&
developerProven &&
score &&
score.totalScore >= 7 &&
score.transportScore >= 7
) {
const months = monthsUntilCompletion(project);
const timingBit = months != null ? `bàn giao sau ~${months} tháng` : 'bàn giao tương lai';
out.push({
...PERSONA_LABELS.long_term_investor,
key: 'long_term_investor',
reason: `CĐT ${project.developer.totalProjects} dự án, khu vực ${score.totalScore.toFixed(1)}/10, ${timingBit}.`,
});
}
return out;
}
/**
* Compose a short narrative highlighting the strongest 2-3 reasons to choose
* this project. Returns null when there isn't enough signal. Blends live
* neighborhood score with project-specific advantages (developer, amenity mix,
* status) so the narrative is distinct from the listings version.
*/
export function composeWhyThisProject(
project: ProjectDetail,
score: NeighborhoodScoreResult | null,
pois: Array<{ category: NearbyPOICategory }>,
): string | null {
const parts: string[] = [];
const poiCount = countPOIs(pois);
// Location highlights from the score radar.
if (score) {
const scoreEntries: Array<{ label: string; score: number; detail: string }> = [
{
label: 'giáo dục',
score: score.educationScore,
detail: poiCount.school
? `${poiCount.school} trường học gần`
: 'hệ thống trường đa dạng',
},
{
label: 'y tế',
score: score.healthcareScore,
detail: poiCount.hospital
? `${poiCount.hospital} bệnh viện trong 2km`
: 'tiện ích y tế đầy đủ',
},
{
label: 'giao thông',
score: score.transportScore,
detail: poiCount.transit
? `${poiCount.transit} điểm metro/bus gần`
: 'dễ kết nối các khu vực khác',
},
{
label: 'mua sắm',
score: score.shoppingScore,
detail: poiCount.shopping
? `${poiCount.shopping} siêu thị/TTTM gần`
: 'nhiều lựa chọn mua sắm',
},
{
label: 'môi trường',
score: score.greeneryScore,
detail: poiCount.park ? `${poiCount.park} công viên gần` : 'không gian xanh tốt',
},
{ label: 'an ninh', score: score.safetyScore, detail: 'khu dân cư yên tĩnh' },
];
const highlights = scoreEntries
.filter((e) => e.score >= 7)
.sort((a, b) => b.score - a.score)
.slice(0, 2);
for (const h of highlights) {
parts.push(
`${h.label.charAt(0).toUpperCase()}${h.label.slice(1)} đạt ${h.score.toFixed(1)}/10 (${h.detail})`,
);
}
}
// Project-level advantage: developer reputation.
if (project.developer.totalProjects >= 5) {
parts.push(
`CĐT ${project.developer.name} đã triển khai ${project.developer.totalProjects} dự án`,
);
}
// Amenity density highlight.
if (project.amenities.length >= 10) {
parts.push(`${project.amenities.length} tiện ích nội khu đa dạng`);
}
// Timing advantage.
const months = monthsUntilCompletion(project);
if (project.status === 'COMPLETED') {
parts.push('dự án đã hoàn thành, vào ở ngay');
} else if (project.status === 'HANDOVER') {
parts.push('đang bàn giao, sẵn sàng nhận nhà');
} else if (months != null && months <= 12) {
parts.push(`dự kiến bàn giao sau ~${months} tháng`);
}
if (parts.length === 0) return null;
return parts.slice(0, 4).join('. ') + '.';
}