feat(chart): 10m 실시간 / 일·주·월 토글 / 오늘 마커 / 예측 거래일 선택

- backend/app/api/chart.py: interval=10m|1d|1w|1mo. 10m 은 ohlcv_1m 을
  time_bucket(10min) 으로 집계, stale(>10분) 이면 KIS 분봉 fetch 후 재조회.
  1w/1mo 는 ohlcv_daily 를 date_trunc 로 집계. today 필드 추가.
- backend/app/fetch/kis.py: fetch_minute_price() 추가 (tr_id FHKST03010200).
  KIS 응답 KST 시각을 tz-aware datetime 으로 변환, 오름차순 정렬.
- web/lib/api.ts: ChartInterval 타입, getChart(interval), predict(horizons[]).
- web/components/StockChart.tsx: 10m 이면 timeVisible. 일·주·월에서 오늘
  화살표 마커 표시. ISO datetime 도 파싱.
- web/components/PredictionPanel.tsx: 단기/중기/장기 프리셋 + 사용자 직접
  지정 (예: 1,2,3,7). API 에 horizons 배열 전달.
- web/app/[code]/page.tsx: interval 칩 (10분/일/주/월). 10m 일 때 60초마다
  폴링. interval 별 기본 lookback (10m=1, 1d=180, 1w=730, 1mo=1825).

backend/app/api/chart.py

@@ -1,14 +1,21 @@
 """차트 데이터 API: OHLCV + 보조 데이터 (감성, 거시).
 
-UI: /code 페이지 첫 로드 시 호출 → lightweight-charts 캔들 데이터로 사용.
+UI: /code 페이지가 호출 → lightweight-charts 캔들 데이터로 사용.
 
-첫 방문 시 ohlcv_daily 가 비어 있으면 (symbols 만 시드됨, daily_batch 아직 안 돔)
-즉시 pykrx 로 자동 갱신 — 사용자 입장에선 한 번의 차트 요청으로 데이터까지 충전.
+interval 파라미터로 캔들 단위 선택:
+  - "10m" : 당일 10분봉. ohlcv_1m 을 time_bucket 으로 10분 단위 집계.
+            stale (>10분) 이면 KIS inquire-time-itemchartprice 로 즉시 보충.
+  - "1d"  : 일봉. ohlcv_daily 직접 조회. 비어있으면 pykrx auto-refresh.
+  - "1w"  : 주봉. ohlcv_daily 를 date_trunc('week') 로 집계.
+  - "1mo" : 월봉. ohlcv_daily 를 date_trunc('month') 로 집계.
+
+10m 외에는 date 필드가 'YYYY-MM-DD' ISO date 문자열,
+10m 일 때는 'YYYY-MM-DDTHH:MM:SS' ISO datetime (KST) 으로 통일.
 """
 from __future__ import annotations
 
 import logging
-from datetime import date, timedelta
+from datetime import date, datetime, time as dtime, timedelta, timezone
 
 from fastapi import APIRouter, HTTPException, Query
 from sqlalchemy import text
@@ -19,8 +26,11 @@ logger = logging.getLogger(__name__)
 
 router = APIRouter(prefix="/api/chart", tags=["chart"])
 
+ALLOWED_INTERVALS = ("10m", "1d", "1w", "1mo")
+KST = timezone(timedelta(hours=9))
 
-def _query_ohlcv(conn, code: str, start: date, end: date):
+
+def _query_ohlcv_daily(conn, code: str, start: date, end: date):
     return conn.execute(
         text(
             """
@@ -34,13 +44,150 @@ def _query_ohlcv(conn, code: str, start: date, end: date):
     ).all()
 
 
+def _query_ohlcv_bucketed(conn, code: str, start: date, end: date, trunc: str):
+    """1d → 1w/1mo 집계. date_trunc 로 bucket 잡고, 첫/마지막/최고/최저/합 집계.
+
+    open=bucket 첫 거래일 시가, close=마지막 거래일 종가. PostgreSQL window 함수로 구한다.
+    """
+    return conn.execute(
+        text(
+            f"""
+            WITH base AS (
+              SELECT date_trunc(:trunc, date)::date AS bucket,
+                     date, open, high, low, close, volume
+                FROM ohlcv_daily
+               WHERE code = :c AND date BETWEEN :s AND :e
+            ),
+            ranked AS (
+              SELECT bucket, date, open, high, low, close, volume,
+                     ROW_NUMBER() OVER (PARTITION BY bucket ORDER BY date ASC)  AS rn_first,
+                     ROW_NUMBER() OVER (PARTITION BY bucket ORDER BY date DESC) AS rn_last
+                FROM base
+            )
+            SELECT bucket AS date,
+                   MAX(open) FILTER (WHERE rn_first = 1)  AS open,
+                   MAX(high)                              AS high,
+                   MIN(low)                               AS low,
+                   MAX(close) FILTER (WHERE rn_last = 1)  AS close,
+                   SUM(volume)                            AS volume
+              FROM ranked
+             GROUP BY bucket
+             ORDER BY bucket
+            """
+        ),
+        {"c": code, "s": start, "e": end, "trunc": trunc},
+    ).all()
+
+
+def _query_ohlcv_10m(conn, code: str, start_ts: datetime, end_ts: datetime):
+    """ohlcv_1m → 10분봉. TimescaleDB time_bucket 으로 10분 단위 집계.
+
+    first()/last() 는 TimescaleDB 의 집계함수.
+    """
+    return conn.execute(
+        text(
+            """
+            SELECT time_bucket(INTERVAL '10 minutes', ts) AS bucket,
+                   first(open,  ts) AS open,
+                   MAX(high)        AS high,
+                   MIN(low)         AS low,
+                   last(close, ts)  AS close,
+                   SUM(volume)      AS volume
+              FROM ohlcv_1m
+             WHERE code = :c AND ts >= :s AND ts < :e
+             GROUP BY bucket
+             ORDER BY bucket
+            """
+        ),
+        {"c": code, "s": start_ts, "e": end_ts},
+    ).all()
+
+
+def _upsert_ohlcv_1m(conn, code: str, rows: list[dict]) -> int:
+    """KIS 분봉 응답을 ohlcv_1m 에 UPSERT. 같은 (code, ts) 는 덮어쓰기 (장중 갱신용)."""
+    if not rows:
+        return 0
+    conn.execute(
+        text(
+            """
+            INSERT INTO ohlcv_1m (code, ts, open, high, low, close, volume)
+            VALUES (:code, :ts, :open, :high, :low, :close, :volume)
+            ON CONFLICT (code, ts) DO UPDATE SET
+              open   = EXCLUDED.open,
+              high   = EXCLUDED.high,
+              low    = EXCLUDED.low,
+              close  = EXCLUDED.close,
+              volume = EXCLUDED.volume
+            """
+        ),
+        [{"code": code, **r} for r in rows],
+    )
+    return len(rows)
+
+
+def _intraday_window_today() -> tuple[datetime, datetime]:
+    """오늘 KST 의 장 시간대 윈도우 (08:50 ~ 16:00). 토/일은 직전 영업일."""
+    now = datetime.now(KST)
+    d = now.date()
+    # 주말이면 직전 금요일로
+    while d.weekday() >= 5:
+        d -= timedelta(days=1)
+    start = datetime.combine(d, dtime(8, 50), tzinfo=KST)
+    end = datetime.combine(d, dtime(16, 0), tzinfo=KST)
+    return start, end
+
+
+def _ensure_intraday_fresh(conn, code: str) -> str:
+    """마지막 ohlcv_1m 데이터가 10분 이상 오래됐으면 KIS 에서 보충.
+
+    Returns: 'fresh' | 'refreshed' | 'skipped_missing_key' | 'failed' | 'no_data'
+    """
+    last_ts = conn.execute(
+        text("SELECT MAX(ts) FROM ohlcv_1m WHERE code = :c"),
+        {"c": code},
+    ).scalar()
+    now = datetime.now(KST)
+    # 평일 장중 (09:00~15:30) 이 아니면 데이터가 더 들어올 일이 없으니 마지막 캐시 그대로.
+    market_open = dtime(9, 0)
+    market_close = dtime(15, 35)
+    in_session = (
+        now.weekday() < 5
+        and market_open <= now.time() <= market_close
+    )
+    if last_ts is not None and (now - last_ts) < timedelta(minutes=10) and in_session:
+        return "fresh"
+
+    try:
+        from app.fetch.kis import SkippedMissingKey, fetch_minute_price
+    except Exception:  # noqa: BLE001
+        return "failed"
+
+    try:
+        rows = fetch_minute_price(code)
+    except SkippedMissingKey:
+        return "skipped_missing_key"
+    except Exception:  # noqa: BLE001
+        logger.exception("intraday refresh failed for %s", code)
+        return "failed"
+
+    if not rows:
+        return "no_data"
+    _upsert_ohlcv_1m(conn, code, rows)
+    conn.commit()
+    return "refreshed"
+
+
 @router.get("/{code}")
 def get_chart(
     code: str,
-    days: int = Query(default=180, ge=10, le=3650),
+    days: int = Query(default=180, ge=1, le=3650),
+    interval: str = Query(default="1d"),
     include_sentiment: bool = Query(default=True),
     include_trading_value: bool = Query(default=True),
 ) -> dict:
+    if interval not in ALLOWED_INTERVALS:
+        raise HTTPException(status_code=400, detail=f"interval must be one of {ALLOWED_INTERVALS}")
+
     eng = get_engine()
     end = date.today()
     start = end - timedelta(days=days)
@@ -52,33 +199,58 @@ def get_chart(
         if not symbol:
             raise HTTPException(status_code=404, detail=f"unknown code: {code}")
 
-        ohlcv_rows = _query_ohlcv(conn, code, start, end)
-        if not ohlcv_rows:
-            # 첫 방문 — ohlcv_daily 가 비어있다. pykrx 로 즉시 채우고 재조회.
-            # refresh_code 는 별도 트랜잭션으로 ohlcv/trading_value/news 모두 commit 하므로
-            # 이 conn 에서 다시 SELECT 하면 새 행이 보인다. lookback 은 차트 요청 범위 +
-            # 예측 모델 학습용 마진 (Chronos/LightGBM 이 충분한 과거 시계열을 요구) 으로 365 하한.
-            try:
-                from app.pipelines.refresh_one import refresh_code
-                logger.info("chart: ohlcv_daily empty for %s — auto-refresh", code)
-                refresh_code(symbol[0], symbol[1], lookback_days=max(days, 365))
-                ohlcv_rows = _query_ohlcv(conn, code, start, end)
-            except Exception:  # noqa: BLE001
-                logger.exception("chart: auto-refresh failed for %s", code)
-        ohlcv = [
-            {
-                "date": str(r[0]),
-                "open": float(r[1]) if r[1] is not None else None,
-                "high": float(r[2]) if r[2] is not None else None,
-                "low": float(r[3]) if r[3] is not None else None,
-                "close": float(r[4]) if r[4] is not None else None,
-                "volume": int(r[5]) if r[5] is not None else None,
-            }
-            for r in ohlcv_rows
-        ]
+        ohlcv: list[dict] = []
+        intraday_status: str | None = None
+
+        if interval == "10m":
+            intraday_status = _ensure_intraday_fresh(conn, code)
+            win_start, win_end = _intraday_window_today()
+            rows = _query_ohlcv_10m(conn, code, win_start, win_end)
+            ohlcv = [
+                {
+                    # KST aware datetime → ISO datetime. 프론트에서 Date 파싱.
+                    "date": (r[0].astimezone(KST) if r[0].tzinfo else r[0].replace(tzinfo=KST))
+                            .strftime("%Y-%m-%dT%H:%M:%S"),
+                    "open": float(r[1]) if r[1] is not None else None,
+                    "high": float(r[2]) if r[2] is not None else None,
+                    "low": float(r[3]) if r[3] is not None else None,
+                    "close": float(r[4]) if r[4] is not None else None,
+                    "volume": int(r[5]) if r[5] is not None else None,
+                }
+                for r in rows
+            ]
+        else:
+            if interval == "1d":
+                rows = _query_ohlcv_daily(conn, code, start, end)
+            elif interval == "1w":
+                rows = _query_ohlcv_bucketed(conn, code, start, end, "week")
+            else:  # "1mo"
+                rows = _query_ohlcv_bucketed(conn, code, start, end, "month")
+
+            if not rows and interval == "1d":
+                # 첫 방문 → pykrx auto-refresh.
+                try:
+                    from app.pipelines.refresh_one import refresh_code
+                    logger.info("chart: ohlcv_daily empty for %s — auto-refresh", code)
+                    refresh_code(symbol[0], symbol[1], lookback_days=max(days, 365))
+                    rows = _query_ohlcv_daily(conn, code, start, end)
+                except Exception:  # noqa: BLE001
+                    logger.exception("chart: auto-refresh failed for %s", code)
+
+            ohlcv = [
+                {
+                    "date": str(r[0]),
+                    "open": float(r[1]) if r[1] is not None else None,
+                    "high": float(r[2]) if r[2] is not None else None,
+                    "low": float(r[3]) if r[3] is not None else None,
+                    "close": float(r[4]) if r[4] is not None else None,
+                    "volume": int(r[5]) if r[5] is not None else None,
+                }
+                for r in rows
+            ]
 
         sentiment: list[dict] = []
-        if include_sentiment:
+        if include_sentiment and interval != "10m":
             try:
                 s_rows = conn.execute(
                     text(
@@ -101,11 +273,10 @@ def get_chart(
                     for r in s_rows
                 ]
             except Exception:  # noqa: BLE001
-                # v_sentiment_daily 뷰 아직 없을 수 있음 (마이그레이션 미실행)
                 sentiment = []
 
         trading: list[dict] = []
-        if include_trading_value:
+        if include_trading_value and interval != "10m":
             tv_rows = conn.execute(
                 text(
                     """
@@ -131,7 +302,10 @@ def get_chart(
         "code": symbol[0],
         "name": symbol[1],
         "market": symbol[2],
+        "interval": interval,
+        "intraday_status": intraday_status,
         "range": {"from": str(start), "to": str(end)},
+        "today": date.today().isoformat(),
         "ohlcv": ohlcv,
         "sentiment": sentiment,
         "trading_value": trading,