feat(listings): AI advisor on listing detail — valuation + qualitative advice
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New endpoint POST /analytics/listings/:id/ai-advice (JwtAuthGuard).
Orchestrates a single-listing AI analysis in Vietnamese via Anthropic
Claude, using the key/URL/model configured in admin settings.

Backend
-------
- New CQRS: get-listing-ai-advice/{query,handler}.ts under analytics.
  Injects LISTING_REPOSITORY, QueryBus (for nearby POIs + neighborhood
  score), SystemSettingsService (from @modules/admin), LoggerService.
- Controller @Post('listings/:id/ai-advice') in analytics.controller.ts.
- analytics.module.ts now imports ListingsModule + AdminModule.
- Anthropic call: native fetch to ${apiUrl}/messages with
  x-api-key + anthropic-version: 2023-06-01 +
  anthropic-beta: prompt-caching-2024-07-31. System block marked
  cache_control:{type:'ephemeral'} for cheap subsequent cache hits.
  30s AbortController timeout.
- Response validation without adding zod to the API workspace —
  lightweight isRecord/asInt/asString/asStringArray helpers.
  Strips ```json fences before JSON.parse.
- Error handling:
  * 503 AI_NOT_CONFIGURED when the admin hasn't saved an API key.
  * 502 AI_PROVIDER_ERROR on non-2xx, parse failure, or timeout.
  * Key never logged.
  * POI / score fetch failures are soft — prompt is built without
    them and the model still runs.
- New error codes AI_NOT_CONFIGURED / AI_PROVIDER_ERROR in
  shared/domain/error-codes.ts.

Response shape (returned unchanged to the client):
```
{
  valuation: { estimateVND, lowVND, highVND, confidence, rationale },
  advice: { summary, pros[], cons[], suitableFor[] },
  model, cacheHit
}
```

Frontend
--------
- analytics-api.ts: exports AiConfidence, ListingAiValuation,
  ListingAiAdviceBody, ListingAiAdvice + getListingAiAdvice(id).
- New components/listings/ai-advice-cards.tsx.
  * Default state: outline <Button><Sparkles/> Xem phân tích AI</Button>
  * On click: useMutation fires + skeleton with Sparkles spinner.
  * On success: two sidebar cards:
    - "AI định giá" — big mid VND, low–high range, Low/Medium/High
      confidence badge, rationale with line-clamp-3.
    - "AI nhận định" — 2-sentence summary + two-column Pros/Cons
      (Check / AlertTriangle icons) + "AI gợi ý" chips for extra
      personas, plus a "Làm mới" link that re-triggers the mutation.
  * 503 → amber banner. ADMIN users see a link to /admin/settings/ai.
  * Other errors → red banner with retry.
- listing-detail-client.tsx mounts <AiAdviceCards listingId=... /> in
  the sidebar between the social-share card and the stats block.
  Existing <AiEstimateButton> kept untouched next to it.

Constraints preserved
---------------------
- No new npm packages; no @anthropic-ai/sdk.
- Runtime imports for NestJS DI classes.
- API key read at request time only — nothing persists it outside
  SystemSetting.

Verification
------------
- API typecheck clean; 1975 / 1975 tests pass.
- Web typecheck clean in touched files; 624 / 624 tests pass.
- AiAdviceCards spec-mocked in listing-detail-client.spec so
  QueryClientProvider isn't required.

User can now set their Anthropic key via /admin/settings/ai and click
"Xem phân tích AI" on any listing detail to get valuation + advice.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
Ho Ngoc Hai
2026-04-19 16:20:24 +07:00
parent ab26eb4c05
commit 631e1200a1
10 changed files with 814 additions and 4 deletions

View File

@@ -1,5 +1,7 @@
import { Module } from '@nestjs/common';
import { CqrsModule } from '@nestjs/cqrs';
import { AdminModule } from '@modules/admin';
import { ListingsModule } from '@modules/listings';
import { GenerateReportHandler } from './application/commands/generate-report/generate-report.handler';
import { TrackEventHandler } from './application/commands/track-event/track-event.handler';
import { UpdateMarketIndexHandler } from './application/commands/update-market-index/update-market-index.handler';
@@ -8,6 +10,7 @@ import { BatchValuationHandler } from './application/queries/batch-valuation/bat
import { IndustrialValuationHandler } from './application/queries/industrial-valuation/industrial-valuation.handler';
import { GetDistrictStatsHandler } from './application/queries/get-district-stats/get-district-stats.handler';
import { GetHeatmapHandler } from './application/queries/get-heatmap/get-heatmap.handler';
import { GetListingAiAdviceHandler } from './application/queries/get-listing-ai-advice/get-listing-ai-advice.handler';
import { GetMarketReportHandler } from './application/queries/get-market-report/get-market-report.handler';
import { GetNearbyPOIsHandler } from './application/queries/get-nearby-pois/get-nearby-pois.handler';
import { GetNeighborhoodScoreHandler } from './application/queries/get-neighborhood-score/get-neighborhood-score.handler';
@@ -54,6 +57,7 @@ const QueryHandlers = [
GetNeighborhoodScoreHandler,
GetNearbyPOIsHandler,
IndustrialValuationHandler,
GetListingAiAdviceHandler,
];
const EventHandlers = [
@@ -61,7 +65,7 @@ const EventHandlers = [
];
@Module({
imports: [CqrsModule],
imports: [CqrsModule, ListingsModule, AdminModule],
controllers: [AnalyticsController, AvmController],
providers: [
// AI service client

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@@ -0,0 +1,454 @@
import { HttpStatus, Inject } from '@nestjs/common';
import { QueryBus, QueryHandler, type IQueryHandler } from '@nestjs/cqrs';
import { DomainException, ErrorCode, LoggerService } from '@modules/shared';
import { SystemSettingsService } from '@modules/admin';
import {
LISTING_REPOSITORY,
type IListingRepository,
} from '@modules/listings';
import { type ListingDetailData } from '../../../../listings/domain/repositories/listing-read.dto';
import {
type NearbyPOIDto,
type NearbyPOIsResultDto,
} from '../get-nearby-pois/get-nearby-pois.handler';
import { GetNearbyPOIsQuery } from '../get-nearby-pois/get-nearby-pois.query';
import { type NeighborhoodScoreResult } from '../../../domain/services/neighborhood-score.service';
import { GetNeighborhoodScoreQuery } from '../get-neighborhood-score/get-neighborhood-score.query';
import { GetListingAiAdviceQuery } from './get-listing-ai-advice.query';
/** Shape returned by Anthropic (parsed from first content block). */
export type AiConfidence = 'low' | 'medium' | 'high';
export interface ListingAiValuation {
estimateVND: number;
lowVND: number;
highVND: number;
confidence: AiConfidence;
rationale: string;
}
export interface ListingAiAdvice {
summary: string;
pros: string[];
cons: string[];
suitableFor: string[];
}
export interface ListingAiAdviceResponse {
valuation: ListingAiValuation;
advice: ListingAiAdvice;
model: string;
cacheHit: boolean;
cacheUsage?: {
input: number;
cacheCreation: number;
cacheRead: number;
output: number;
};
}
// System prompt: Vietnamese real-estate persona. Short, stable, cacheable.
const SYSTEM_PROMPT = `Bạn là chuyên gia thẩm định bất động sản Việt Nam (HCM & Hà Nội). Dựa trên dữ liệu được cung cấp, hãy đưa ra (1) ước tính giá trị hợp lý bằng VND và (2) nhận định ngắn gọn về điểm mạnh/yếu của BĐS.
Bối cảnh thị trường:
- Đơn vị tiền tệ: VND (không dùng USD).
- Giá/m² tham khảo ở HCM: Quận 1/3 ~ 200350 tr, Bình Thạnh/Phú Nhuận ~ 70130 tr, Quận 7 ~ 60100 tr, vùng ven ~ 3055 tr. Hà Nội: Hoàn Kiếm/Ba Đình ~ 250400 tr, Cầu Giấy/Thanh Xuân ~ 60120 tr.
- Giá giao dịch có thể lệch ±15% so với giá niêm yết tuỳ pháp lý, nội thất, view, hướng.
Bắt buộc trả về **JSON thuần** đúng schema, KHÔNG bọc markdown, KHÔNG giải thích thêm:
{
"valuation": {
"estimateVND": <số nguyên VND>,
"lowVND": <số nguyên VND>,
"highVND": <số nguyên VND>,
"confidence": "low" | "medium" | "high",
"rationale": "<1-2 câu tiếng Việt>"
},
"advice": {
"summary": "<≤ 2 câu tổng quan tiếng Việt>",
"pros": ["<cụm ngắn>", ...], // 3-5 mục
"cons": ["<cụm ngắn>", ...], // 2-4 mục
"suitableFor": ["<nhãn persona>", ...] // 2-4 mục, tiếng Việt
}
}
Đưa ra estimateVND nằm giữa lowVND và highVND. Dải low/high nên phản ánh độ bất định: confidence=high dải ~±8%, medium ~±15%, low ~±25%.`;
interface AnthropicMessage {
type: string;
text?: string;
}
interface AnthropicResponse {
content?: AnthropicMessage[];
usage?: {
input_tokens?: number;
output_tokens?: number;
cache_creation_input_tokens?: number;
cache_read_input_tokens?: number;
};
}
const ANTHROPIC_TIMEOUT_MS = 30_000;
@QueryHandler(GetListingAiAdviceQuery)
export class GetListingAiAdviceHandler
implements IQueryHandler<GetListingAiAdviceQuery, ListingAiAdviceResponse>
{
constructor(
@Inject(LISTING_REPOSITORY)
private readonly listingRepo: IListingRepository,
private readonly queryBus: QueryBus,
private readonly systemSettings: SystemSettingsService,
private readonly logger: LoggerService,
) {}
async execute(
query: GetListingAiAdviceQuery,
): Promise<ListingAiAdviceResponse> {
const listing = await this.listingRepo.findByIdWithProperty(query.listingId);
if (!listing) {
throw new DomainException(
ErrorCode.LISTING_NOT_FOUND,
`Không tìm thấy tin đăng ${query.listingId}`,
HttpStatus.NOT_FOUND,
);
}
// Fetch enrichments in parallel (both tolerate missing data).
const [poisResult, score] = await Promise.all([
this.fetchPois(listing),
this.fetchScore(listing),
]);
const settings = await this.systemSettings.getAiSettings();
if (!settings.apiKey) {
throw new DomainException(
ErrorCode.AI_NOT_CONFIGURED,
'Quản trị viên chưa cấu hình Claude API. Vào /admin/settings/ai để thiết lập.',
HttpStatus.SERVICE_UNAVAILABLE,
);
}
const userPrompt = buildUserPrompt(listing, poisResult, score);
const raw = await this.callAnthropic({
apiUrl: settings.apiUrl,
apiKey: settings.apiKey,
model: settings.model,
userPrompt,
});
const parsed = parseAndValidate(raw);
const cacheRead = raw.usage?.cache_read_input_tokens ?? 0;
const cacheCreation = raw.usage?.cache_creation_input_tokens ?? 0;
return {
valuation: parsed.valuation,
advice: parsed.advice,
model: settings.model,
cacheHit: cacheRead > 0,
cacheUsage: {
input: raw.usage?.input_tokens ?? 0,
cacheCreation,
cacheRead,
output: raw.usage?.output_tokens ?? 0,
},
};
}
private async fetchPois(
listing: ListingDetailData,
): Promise<NearbyPOIsResultDto | null> {
const { latitude, longitude } = listing.property;
if (latitude == null || longitude == null) return null;
try {
return await this.queryBus.execute<
GetNearbyPOIsQuery,
NearbyPOIsResultDto
>(new GetNearbyPOIsQuery(latitude, longitude, 2000, 30));
} catch (err) {
this.logger.warn(
`[ai-advice] fetchPois failed: ${err instanceof Error ? err.message : err}`,
);
return null;
}
}
private async fetchScore(
listing: ListingDetailData,
): Promise<NeighborhoodScoreResult | null> {
const { district, city } = listing.property;
if (!district || !city) return null;
try {
return await this.queryBus.execute<
GetNeighborhoodScoreQuery,
NeighborhoodScoreResult | null
>(new GetNeighborhoodScoreQuery(district, city));
} catch (err) {
this.logger.warn(
`[ai-advice] fetchScore failed: ${err instanceof Error ? err.message : err}`,
);
return null;
}
}
private async callAnthropic(args: {
apiUrl: string;
apiKey: string;
model: string;
userPrompt: string;
}): Promise<AnthropicResponse> {
const controller = new AbortController();
const timer = setTimeout(() => controller.abort(), ANTHROPIC_TIMEOUT_MS);
try {
const res = await fetch(`${args.apiUrl.replace(/\/$/, '')}/messages`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'x-api-key': args.apiKey,
'anthropic-version': '2023-06-01',
'anthropic-beta': 'prompt-caching-2024-07-31',
},
signal: controller.signal,
body: JSON.stringify({
model: args.model,
max_tokens: 1024,
system: [
{
type: 'text',
text: SYSTEM_PROMPT,
cache_control: { type: 'ephemeral' },
},
],
messages: [{ role: 'user', content: args.userPrompt }],
}),
});
if (!res.ok) {
const bodySnippet = await res.text().catch(() => '');
this.logger.error(
`[ai-advice] Anthropic non-2xx ${res.status}: ${bodySnippet.slice(0, 500)}`,
);
throw new DomainException(
ErrorCode.AI_PROVIDER_ERROR,
'Không gọi được dịch vụ AI. Vui lòng thử lại sau.',
HttpStatus.BAD_GATEWAY,
);
}
return (await res.json()) as AnthropicResponse;
} catch (err) {
if (err instanceof DomainException) throw err;
const isAbort =
err instanceof Error &&
(err.name === 'AbortError' || /aborted/i.test(err.message));
this.logger.error(
`[ai-advice] fetch failed (${isAbort ? 'timeout' : 'network'}): ${err instanceof Error ? err.message : err}`,
);
throw new DomainException(
ErrorCode.AI_PROVIDER_ERROR,
isAbort
? 'AI không phản hồi kịp. Vui lòng thử lại.'
: 'Không gọi được dịch vụ AI. Vui lòng thử lại sau.',
HttpStatus.BAD_GATEWAY,
);
} finally {
clearTimeout(timer);
}
}
}
// --------------------------------------------------------------------------
// Prompt construction
// --------------------------------------------------------------------------
function buildUserPrompt(
listing: ListingDetailData,
poisResult: NearbyPOIsResultDto | null,
score: NeighborhoodScoreResult | null,
): string {
const p = listing.property;
const lines: string[] = [];
lines.push('### THÔNG TIN TIN ĐĂNG');
lines.push(`- Loại giao dịch: ${listing.transactionType}`);
lines.push(`- Giá niêm yết: ${listing.priceVND} VND`);
if (listing.pricePerM2 != null) {
lines.push(`- Giá / m²: ${listing.pricePerM2.toLocaleString('vi-VN')} VND`);
}
lines.push(`- Diện tích: ${p.areaM2}`);
if (p.bedrooms != null) lines.push(`- Phòng ngủ: ${p.bedrooms}`);
if (p.bathrooms != null) lines.push(`- Phòng tắm: ${p.bathrooms}`);
lines.push(`- Loại BĐS: ${p.propertyType}`);
lines.push(`- Địa chỉ: ${p.address}, ${p.ward ?? ''}, ${p.district}, ${p.city}`);
if (p.direction) lines.push(`- Hướng: ${p.direction}`);
if (p.yearBuilt) lines.push(`- Năm xây: ${p.yearBuilt}`);
if (p.legalStatus) lines.push(`- Pháp lý: ${p.legalStatus}`);
if (p.furnishing) lines.push(`- Nội thất: ${p.furnishing}`);
if (p.propertyCondition) lines.push(`- Tình trạng: ${p.propertyCondition}`);
if (p.metroDistanceM != null) {
lines.push(`- Cách metro: ${p.metroDistanceM} m`);
}
if (p.suitableFor && p.suitableFor.length > 0) {
lines.push(`- Người đăng gợi ý phù hợp: ${p.suitableFor.join(', ')}`);
}
if (p.whyThisLocation) {
lines.push(`- Ghi chú vị trí (người đăng): ${p.whyThisLocation}`);
}
if (poisResult && poisResult.pois.length > 0) {
const counts = countByCategory(poisResult.pois);
const closest = poisResult.pois.slice(0, 5);
lines.push('');
lines.push('### ĐIỂM QUAN TÂM LÂN CẬN (bán kính 2km)');
const countLine = Object.entries(counts)
.map(([cat, n]) => `${cat}: ${n}`)
.join(', ');
lines.push(`- Số lượng theo nhóm: ${countLine}`);
lines.push('- 5 điểm gần nhất:');
for (const poi of closest) {
lines.push(
`${poi.name} (${poi.category}) — ${Math.round(poi.distance)} m`,
);
}
}
if (score) {
lines.push('');
lines.push('### ĐIỂM KHU VỰC (thang 010)');
lines.push(`- Giáo dục: ${score.educationScore.toFixed(1)}`);
lines.push(`- Y tế: ${score.healthcareScore.toFixed(1)}`);
lines.push(`- Giao thông: ${score.transportScore.toFixed(1)}`);
lines.push(`- Mua sắm: ${score.shoppingScore.toFixed(1)}`);
lines.push(`- Môi trường: ${score.greeneryScore.toFixed(1)}`);
lines.push(`- An ninh: ${score.safetyScore.toFixed(1)}`);
lines.push(`- Tổng: ${score.totalScore.toFixed(1)}`);
}
lines.push('');
lines.push('Hãy trả về JSON đúng schema đã quy định.');
return lines.join('\n');
}
function countByCategory(pois: NearbyPOIDto[]): Record<string, number> {
const out: Record<string, number> = {};
for (const p of pois) {
out[p.category] = (out[p.category] ?? 0) + 1;
}
return out;
}
// --------------------------------------------------------------------------
// Response parsing / validation (lightweight — no new deps)
// --------------------------------------------------------------------------
function parseAndValidate(raw: AnthropicResponse): {
valuation: ListingAiValuation;
advice: ListingAiAdvice;
} {
const block = raw.content?.find((c) => c.type === 'text');
const text = block?.text?.trim();
if (!text) {
throw new DomainException(
ErrorCode.AI_PROVIDER_ERROR,
'AI trả về nội dung trống.',
HttpStatus.BAD_GATEWAY,
);
}
const jsonText = stripJsonFence(text);
let obj: unknown;
try {
obj = JSON.parse(jsonText);
} catch {
throw new DomainException(
ErrorCode.AI_PROVIDER_ERROR,
'AI trả về JSON không hợp lệ.',
HttpStatus.BAD_GATEWAY,
);
}
if (!isRecord(obj)) throw jsonShapeError();
const valuation = parseValuation(obj['valuation']);
const advice = parseAdvice(obj['advice']);
return { valuation, advice };
}
function parseValuation(v: unknown): ListingAiValuation {
if (!isRecord(v)) throw jsonShapeError('valuation');
const estimateVND = asInt(v['estimateVND']);
const lowVND = asInt(v['lowVND']);
const highVND = asInt(v['highVND']);
const rationale = asString(v['rationale']);
const confidenceRaw = v['confidence'];
const confidence: AiConfidence =
confidenceRaw === 'low' || confidenceRaw === 'medium' || confidenceRaw === 'high'
? confidenceRaw
: 'medium';
if (
estimateVND == null ||
lowVND == null ||
highVND == null ||
rationale == null
) {
throw jsonShapeError('valuation');
}
return { estimateVND, lowVND, highVND, confidence, rationale };
}
function parseAdvice(v: unknown): ListingAiAdvice {
if (!isRecord(v)) throw jsonShapeError('advice');
const summary = asString(v['summary']);
const pros = asStringArray(v['pros']);
const cons = asStringArray(v['cons']);
const suitableFor = asStringArray(v['suitableFor']);
if (summary == null || !pros || !cons || !suitableFor) {
throw jsonShapeError('advice');
}
return { summary, pros, cons, suitableFor };
}
function stripJsonFence(text: string): string {
const fenceMatch = text.match(/^```(?:json)?\s*([\s\S]*?)\s*```$/);
if (fenceMatch && fenceMatch[1]) return fenceMatch[1].trim();
return text;
}
function isRecord(v: unknown): v is Record<string, unknown> {
return typeof v === 'object' && v != null && !Array.isArray(v);
}
function asInt(v: unknown): number | null {
if (typeof v === 'number' && Number.isFinite(v)) return Math.round(v);
if (typeof v === 'string') {
const n = Number(v.replace(/[^\d.-]/g, ''));
if (Number.isFinite(n)) return Math.round(n);
}
return null;
}
function asString(v: unknown): string | null {
if (typeof v === 'string' && v.trim().length > 0) return v.trim();
return null;
}
function asStringArray(v: unknown): string[] | null {
if (!Array.isArray(v)) return null;
const out: string[] = [];
for (const item of v) {
if (typeof item === 'string' && item.trim().length > 0) out.push(item.trim());
}
return out;
}
function jsonShapeError(field?: string): DomainException {
return new DomainException(
ErrorCode.AI_PROVIDER_ERROR,
field
? `AI trả về sai cấu trúc trường '${field}'.`
: 'AI trả về sai cấu trúc JSON.',
HttpStatus.BAD_GATEWAY,
);
}

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@@ -0,0 +1,3 @@
export class GetListingAiAdviceQuery {
constructor(public readonly listingId: string) {}
}

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@@ -18,6 +18,10 @@ import { type DistrictStatsDto } from '../../application/queries/get-district-st
import { GetDistrictStatsQuery } from '../../application/queries/get-district-stats/get-district-stats.query';
import { type HeatmapDto } from '../../application/queries/get-heatmap/get-heatmap.handler';
import { GetHeatmapQuery } from '../../application/queries/get-heatmap/get-heatmap.query';
import {
type ListingAiAdviceResponse,
} from '../../application/queries/get-listing-ai-advice/get-listing-ai-advice.handler';
import { GetListingAiAdviceQuery } from '../../application/queries/get-listing-ai-advice/get-listing-ai-advice.query';
import { type MarketReportDto } from '../../application/queries/get-market-report/get-market-report.handler';
import { GetMarketReportQuery } from '../../application/queries/get-market-report/get-market-report.query';
import { type NearbyPOIsResultDto } from '../../application/queries/get-nearby-pois/get-nearby-pois.handler';
@@ -259,4 +263,24 @@ export class AnalyticsController {
),
);
}
@ApiBearerAuth('JWT')
@UseGuards(JwtAuthGuard)
@Post('listings/:id/ai-advice')
@ApiOperation({
summary: 'AI nhận định + định giá cho một tin đăng (Claude)',
description:
'Gọi Claude API (Anthropic) để trả về JSON gồm ước tính giá và phân tích điểm mạnh/yếu. API key do admin cấu hình trong System Settings.',
})
@ApiParam({ name: 'id', description: 'Listing ID' })
@ApiResponse({ status: 200, description: 'AI advice generated' })
@ApiResponse({ status: 401, description: 'Chưa xác thực' })
@ApiResponse({ status: 404, description: 'Listing not found' })
@ApiResponse({ status: 502, description: 'AI provider error' })
@ApiResponse({ status: 503, description: 'AI chưa được cấu hình' })
async getListingAiAdvice(
@Param('id') id: string,
): Promise<ListingAiAdviceResponse> {
return this.queryBus.execute(new GetListingAiAdviceQuery(id));
}
}

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@@ -62,4 +62,8 @@ export enum ErrorCode {
SUBSCRIPTION_ALREADY_CANCELLED = 'SUBSCRIPTION_ALREADY_CANCELLED',
SUBSCRIPTION_INACTIVE = 'SUBSCRIPTION_INACTIVE',
QUOTA_EXCEEDED = 'QUOTA_EXCEEDED',
// AI / Claude integration
AI_NOT_CONFIGURED = 'AI_NOT_CONFIGURED',
AI_PROVIDER_ERROR = 'AI_PROVIDER_ERROR',
}

View File

@@ -43,15 +43,39 @@ vi.mock('@/components/valuation/ai-estimate-button', () => ({
),
}));
// Mock AiAdviceCards (pulls in @tanstack/react-query which needs a provider)
vi.mock('@/components/listings/ai-advice-cards', () => ({
AiAdviceCards: ({ listingId }: { listingId: string }) => (
<button data-testid={`ai-advice-${listingId}`}>AI Advice</button>
),
}));
// Mock InquiryModal
vi.mock('@/components/listings/inquiry-modal', () => ({
InquiryModal: () => null,
}));
// Mock analytics API (used for nearby POIs fetch)
// Mock analytics API (used for nearby POIs fetch + AI advice)
vi.mock('@/lib/analytics-api', () => ({
analyticsApi: {
getNearbyPOIs: vi.fn().mockResolvedValue({ pois: [], center: { lat: 0, lng: 0 } }),
getListingAiAdvice: vi.fn().mockResolvedValue({
valuation: {
estimateVND: 3_500_000_000,
lowVND: 3_000_000_000,
highVND: 4_000_000_000,
confidence: 'medium',
rationale: 'Giá hợp lý cho khu vực',
},
advice: {
summary: 'Tổng quan AI',
pros: ['Vị trí đẹp'],
cons: ['Giá cao hơn trung bình'],
suitableFor: ['Gia đình trẻ'],
},
model: 'claude-opus-4-5',
cacheHit: false,
}),
},
}));

View File

@@ -0,0 +1,257 @@
'use client';
import { useMutation } from '@tanstack/react-query';
import { AlertTriangle, Check, RefreshCw, Sparkles } from 'lucide-react';
import Link from 'next/link';
import * as React from 'react';
import { Badge } from '@/components/ui/badge';
import { Button } from '@/components/ui/button';
import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
import { ApiError } from '@/lib/api-client';
import { analyticsApi } from '@/lib/analytics-api';
import type { AiConfidence, ListingAiAdvice } from '@/lib/analytics-api';
import { useAuthStore } from '@/lib/auth-store';
import { formatPrice } from '@/lib/currency';
interface AiAdviceCardsProps {
listingId: string;
/** suitableFor labels already shown by the PersonaFitCard — used to de-dupe. */
existingPersonas?: string[];
}
const CONFIDENCE_STYLE: Record<AiConfidence, { label: string; variant: 'success' | 'warning' | 'destructive' }> = {
high: { label: 'Độ tin cậy cao', variant: 'success' },
medium: { label: 'Độ tin cậy trung bình', variant: 'warning' },
low: { label: 'Độ tin cậy thấp', variant: 'destructive' },
};
export function AiAdviceCards({ listingId, existingPersonas = [] }: AiAdviceCardsProps) {
const user = useAuthStore((s) => s.user);
const isAdmin = user?.role === 'ADMIN';
const mutation = useMutation<ListingAiAdvice, unknown, void>({
mutationFn: () => analyticsApi.getListingAiAdvice(listingId),
});
const { data, error, isPending, isSuccess } = mutation;
// Not loaded yet — show trigger button.
if (!isSuccess && !isPending && !error) {
return (
<Card className="border-primary/30 bg-primary/5">
<CardContent className="py-4">
<Button
type="button"
variant="outline"
className="w-full gap-2"
onClick={() => mutation.mutate()}
>
<Sparkles className="h-4 w-4" />
Xem phân tích AI
</Button>
</CardContent>
</Card>
);
}
// Loading — skeleton.
if (isPending) {
return (
<Card className="border-primary/30 bg-primary/5">
<CardHeader className="pb-2">
<CardTitle className="flex items-center gap-2 text-base">
<Sparkles className="h-4 w-4 animate-pulse text-primary" />
AI đang phân tích
</CardTitle>
</CardHeader>
<CardContent className="space-y-3">
<div className="h-6 w-3/4 animate-pulse rounded bg-muted" />
<div className="h-4 w-1/2 animate-pulse rounded bg-muted" />
<div className="h-3 w-full animate-pulse rounded bg-muted" />
<div className="h-3 w-5/6 animate-pulse rounded bg-muted" />
</CardContent>
</Card>
);
}
// Error state.
if (error) {
const apiErr = error instanceof ApiError ? error : null;
const status = apiErr?.status ?? 0;
const notConfigured = status === 503;
if (notConfigured) {
return (
<Card className="border-amber-200 bg-amber-50 dark:border-amber-900 dark:bg-amber-950/40">
<CardContent className="space-y-2 py-4">
<p className="flex items-start gap-2 text-sm">
<AlertTriangle className="mt-0.5 h-4 w-4 shrink-0 text-amber-600" />
<span>AI chưa đưc cấu hình. Liên hệ quản trị viên.</span>
</p>
{isAdmin && (
<Link
href="/admin/settings/ai"
className="inline-flex items-center gap-1 text-xs font-medium text-primary underline"
>
Cấu hình Claude API
</Link>
)}
</CardContent>
</Card>
);
}
return (
<Card className="border-destructive/40 bg-destructive/5">
<CardContent className="space-y-2 py-4">
<p className="flex items-start gap-2 text-sm text-destructive">
<AlertTriangle className="mt-0.5 h-4 w-4 shrink-0" />
<span>
Không lấy đưc phân tích AI. {apiErr?.message ?? 'Vui lòng thử lại.'}
</span>
</p>
<Button
type="button"
variant="outline"
size="sm"
className="gap-2"
onClick={() => mutation.mutate()}
>
<RefreshCw className="h-3.5 w-3.5" />
Thử lại
</Button>
</CardContent>
</Card>
);
}
// Success — render the two cards.
if (!data) return null;
const { valuation, advice } = data;
const confStyle = CONFIDENCE_STYLE[valuation.confidence] ?? CONFIDENCE_STYLE.medium;
const extraPersonas = advice.suitableFor.filter(
(p) => !existingPersonas.includes(p),
);
return (
<div className="space-y-6">
{/* Card 1 — AI định giá */}
<Card className="border-primary/30 bg-primary/5">
<CardHeader className="pb-2">
<CardTitle className="flex items-center gap-2 text-base">
<Sparkles className="h-4 w-4 text-primary" />
AI đnh giá
</CardTitle>
</CardHeader>
<CardContent className="space-y-3">
<div className="text-center">
<p className="text-2xl font-bold text-primary md:text-3xl">
{formatPrice(valuation.estimateVND)} VND
</p>
<p className="mt-1 text-xs text-muted-foreground">
Khoảng {formatPrice(valuation.lowVND)} {formatPrice(valuation.highVND)} VND
</p>
<div className="mt-2 flex justify-center">
<Badge variant={confStyle.variant}>{confStyle.label}</Badge>
</div>
</div>
{valuation.rationale && (
<p
className="text-xs leading-relaxed text-muted-foreground"
style={{
display: '-webkit-box',
WebkitLineClamp: 3,
WebkitBoxOrient: 'vertical',
overflow: 'hidden',
}}
>
{valuation.rationale}
</p>
)}
</CardContent>
</Card>
{/* Card 2 — AI nhận định */}
<Card className="border-primary/30 bg-primary/5">
<CardHeader className="pb-2">
<CardTitle className="flex items-center gap-2 text-base">
<Sparkles className="h-4 w-4 text-primary" />
AI nhận đnh
</CardTitle>
</CardHeader>
<CardContent className="space-y-4">
{advice.summary && (
<p className="text-sm leading-relaxed">{advice.summary}</p>
)}
<div className="grid gap-4 sm:grid-cols-2">
{advice.pros.length > 0 && (
<div>
<p className="mb-2 text-xs font-semibold uppercase tracking-wide text-muted-foreground">
Điểm mạnh
</p>
<ul className="space-y-1.5">
{advice.pros.map((p, i) => (
<li key={`pro-${i}`} className="flex items-start gap-1.5 text-sm">
<Check className="mt-0.5 h-4 w-4 shrink-0 text-green-600" />
<span>{p}</span>
</li>
))}
</ul>
</div>
)}
{advice.cons.length > 0 && (
<div>
<p className="mb-2 text-xs font-semibold uppercase tracking-wide text-muted-foreground">
Cần cân nhắc
</p>
<ul className="space-y-1.5">
{advice.cons.map((c, i) => (
<li key={`con-${i}`} className="flex items-start gap-1.5 text-sm">
<AlertTriangle className="mt-0.5 h-4 w-4 shrink-0 text-amber-600" />
<span>{c}</span>
</li>
))}
</ul>
</div>
)}
</div>
{extraPersonas.length > 0 && (
<div>
<p className="mb-2 text-xs font-semibold uppercase tracking-wide text-muted-foreground">
Phù hợp với
</p>
<div className="flex flex-wrap gap-2">
{extraPersonas.map((p) => (
<div
key={`ai-persona-${p}`}
className="inline-flex items-center gap-1.5 rounded-full border border-primary/40 bg-primary/10 px-3 py-1 text-xs"
>
<span className="font-medium">{p}</span>
<span className="rounded bg-primary/20 px-1 py-0.5 text-[9px] uppercase tracking-wide text-primary">
AI gợi ý
</span>
</div>
))}
</div>
</div>
)}
<div className="border-t pt-2 text-right">
<button
type="button"
className="inline-flex items-center gap-1 text-xs text-muted-foreground hover:text-foreground"
onClick={() => mutation.mutate()}
>
<RefreshCw className="h-3 w-3" />
Làm mới
</button>
</div>
</CardContent>
</Card>
</div>
);
}

View File

@@ -4,6 +4,7 @@ import dynamic from 'next/dynamic';
import Link from 'next/link';
import * as React from 'react';
import { AddToCompareButton } from '@/components/comparison/add-to-compare-button';
import { AiAdviceCards } from '@/components/listings/ai-advice-cards';
import { ImageGallery } from '@/components/listings/image-gallery';
import { InquiryModal } from '@/components/listings/inquiry-modal';
import { PriceHistoryChart } from '@/components/listings/price-history-chart';
@@ -436,9 +437,15 @@ export function ListingDetailClient({ listing }: ListingDetailClientProps) {
</CardContent>
</Card>
{/* AI Estimate */}
{/* AI Estimate (legacy AVM — preserved) */}
<AiEstimateButton listingId={listing.id} />
{/* AI advisor (Claude — analysis + valuation) */}
<AiAdviceCards
listingId={listing.id}
existingPersonas={property.suitableFor ?? []}
/>
{/* Stats */}
<Card>
<CardContent className="pt-6">

View File

@@ -91,6 +91,36 @@ export interface NearbyPOIsResponse {
center: { lat: number; lng: number };
}
export type AiConfidence = 'low' | 'medium' | 'high';
export interface ListingAiValuation {
estimateVND: number;
lowVND: number;
highVND: number;
confidence: AiConfidence;
rationale: string;
}
export interface ListingAiAdviceBody {
summary: string;
pros: string[];
cons: string[];
suitableFor: string[];
}
export interface ListingAiAdvice {
valuation: ListingAiValuation;
advice: ListingAiAdviceBody;
model: string;
cacheHit: boolean;
cacheUsage?: {
input: number;
cacheCreation: number;
cacheRead: number;
output: number;
};
}
export const analyticsApi = {
getMarketReport: (city: string, period: string, propertyType?: string) => {
const params = new URLSearchParams({ city, period });
@@ -117,4 +147,7 @@ export const analyticsApi = {
apiClient.get<NearbyPOIsResponse>(
`/analytics/pois/nearby?lat=${lat}&lng=${lng}&radius=${radius}&limit=${limit}`,
),
getListingAiAdvice: (listingId: string) =>
apiClient.post<ListingAiAdvice>(`/analytics/listings/${listingId}/ai-advice`),
};

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