Files
stock_chart_site/web/lib/api.ts
tkrmagid 78388d347e fix(web): API base 를 페이지 host 로 동적 해석 (LAN 접속 대응)
리뷰어 지적: docker-compose 가 NEXT_PUBLIC_API_BASE=http://localhost:8000 을
주입해서 클라이언트 번들에 localhost 가 inline 됨. 사금향 게임컴 (192.168.10.13)
브라우저에선 동작하지만, 같은 내부망의 다른 PC 또는 외부 검증자가
http://192.168.10.13:3000 에 접속하면 fetch 가 그 PC 의 localhost:8000 으로 가서
연결 실패. 백엔드는 정상인데도 '검색 결과 없음' 으로 보임.

해석 우선순위:
  1) NEXT_PUBLIC_API_BASE 가 비 localhost 값 → 그대로 (프로덕션 도메인 케이스)
  2) 브라우저 → window.location.hostname:8000 (LAN/localhost 자동 대응)
  3) SSR 폴백 → localhost:8000

localhost/127.0.0.1 판별은 //(localhost|127.0.0.1)(?::|$) 정규식 — 'localhost.evil.com'
같은 서브도메인 우회는 매치 안 됨. node 로 7케이스 검증 완료.

web/app 코드만이라 사금향 PC 는 restart.bat 으로 반영 (next dev hot-reload).
2026-05-21 21:52:09 +09:00

203 lines
5.3 KiB
TypeScript

// Backend API client.
//
// API 베이스 해석 우선순위:
// 1) NEXT_PUBLIC_API_BASE 가 localhost/127.0.0.1 이 아닌 명시값 → 그대로 사용
// (예: 프로덕션 https://api.example.com)
// 2) 브라우저 환경 → window.location.hostname:8000 (LAN 접속도 자동 대응)
// 3) SSR 폴백 → http://localhost:8000
//
// docker-compose 가 NEXT_PUBLIC_API_BASE=http://localhost:8000 을 주입하는 경우가 흔한데,
// LAN 의 다른 PC 에서 http://<host>:3000 으로 접속하면 inline 된 localhost 가 그쪽 PC 의
// localhost 를 가리켜 깨진다. 그래서 localhost/127.0.0.1 값은 신뢰하지 않고 페이지 host 로
// 폴백.
function resolveApiBase(): string {
const raw = process.env.NEXT_PUBLIC_API_BASE;
const env = raw && raw.length > 0 ? raw.replace(/\/$/, "") : "";
const envIsLocal = !env || /\/\/(localhost|127\.0\.0\.1)(?::|$)/.test(env);
if (typeof window !== "undefined") {
if (envIsLocal) {
return `${window.location.protocol}//${window.location.hostname}:8000`;
}
return env;
}
// SSR
return env || "http://localhost:8000";
}
export const API_BASE = resolveApiBase();
export type Symbol = {
code: string;
name: string;
market: string;
sector: string | null;
is_seed: boolean;
};
export type SymbolSearch = {
q: string;
count: number;
items: Symbol[];
};
export type OhlcvPoint = {
date: string;
open: number | null;
high: number | null;
low: number | null;
close: number | null;
volume: number | null;
};
export type SentimentPoint = {
date: string;
n_articles: number;
mean_score: number | null;
weighted_score: number | null;
};
export type TradingValuePoint = {
date: string;
foreign_net: number | null;
institution_net: number | null;
individual_net: number | null;
};
export type ChartPayload = {
code: string;
name: string;
market: string;
range: { from: string; to: string };
ohlcv: OhlcvPoint[];
sentiment: SentimentPoint[];
trading_value: TradingValuePoint[];
};
export type PredictionStep = {
horizon: number;
target_idx?: number;
point_close: number;
ci_low: number;
ci_high: number;
prob_up: number;
prob_flat: number;
prob_down: number;
direction: "up" | "flat" | "down";
expected_return: number;
target_date?: string;
};
export type PredictResponse = {
code: string;
base_date: string;
base_close: number;
sources_used: string[];
steps: PredictionStep[];
saved_prediction_ids: number[];
saved_shadow_ids?: { chronos: number[]; lgbm: number[] };
user_triggered: boolean;
};
export type LatestPredictionStep = {
predicted_at: string | null;
target_date: string;
horizon: number;
direction: "up" | "flat" | "down" | string;
prob_up: number | null;
prob_flat: number | null;
prob_down: number | null;
expected_return: number | null;
point_close: number | null;
ci_low: number | null;
ci_high: number | null;
user_triggered: boolean;
features_snapshot: unknown;
};
export type LatestPredictionResponse = {
code: string;
name?: string;
found: boolean;
base_date?: string;
base_close?: number | null;
steps: LatestPredictionStep[];
};
export type MetricsRow = {
model: string;
horizon: number;
n: number;
hit_rate: number | null;
mae: number | null;
};
export type MetricsResponse = {
code?: string;
name?: string;
window_days: number;
range: { from: string; to: string };
by_model_horizon: MetricsRow[];
};
export type NewsItem = {
source: string;
published_at: string | null;
title: string;
url: string;
sentiment_score: number | null;
sentiment_label: string | null;
};
export type NewsResponse = {
code: string;
name: string;
count: number;
items: NewsItem[];
};
async function getJson<T>(path: string, init?: RequestInit): Promise<T> {
const res = await fetch(`${API_BASE}${path}`, {
...init,
headers: {
Accept: "application/json",
...(init?.headers ?? {}),
},
cache: "no-store",
});
if (!res.ok) {
const text = await res.text().catch(() => "");
throw new Error(`API ${path}${res.status} ${text || res.statusText}`);
}
return (await res.json()) as T;
}
export const api = {
search: (q: string, seedOnly = false, limit = 20) =>
getJson<SymbolSearch>(
`/api/symbols/search?q=${encodeURIComponent(q)}&limit=${limit}&seed_only=${seedOnly}`,
),
getSymbol: (code: string) => getJson<Symbol>(`/api/symbols/${encodeURIComponent(code)}`),
getChart: (code: string, days = 180) =>
getJson<ChartPayload>(`/api/chart/${encodeURIComponent(code)}?days=${days}`),
predict: (code: string, horizons = "1,3,5") =>
getJson<PredictResponse>(
`/api/predict/${encodeURIComponent(code)}?horizons=${encodeURIComponent(horizons)}`,
{ method: "POST" },
),
latestPrediction: (code: string) =>
getJson<LatestPredictionResponse>(`/api/predict/${encodeURIComponent(code)}/latest`),
metrics: (code: string, windowDays = 30) =>
getJson<MetricsResponse>(
`/api/metrics/${encodeURIComponent(code)}?window_days=${windowDays}`,
),
overallMetrics: (windowDays = 30) =>
getJson<MetricsResponse>(`/api/metrics?window_days=${windowDays}`),
news: (code: string, limit = 20, source?: string) =>
getJson<NewsResponse>(
`/api/news/${encodeURIComponent(code)}?limit=${limit}${
source ? `&source=${encodeURIComponent(source)}` : ""
}`,
),
};