docs(CLAUDE.md): 실시간 매매 알람 엔드포인트 카탈로그 등재 (stock watchlist/webai + agent-office notify/봇명령)

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01EqCYBhvTcdeCTUDX3RhWx9

CLAUDE.md

@@ -246,6 +246,10 @@ docker compose up -d
 | GET | `/api/portfolio/snapshot/history` | 스냅샷 이력 (`days`) |
 | GET/POST | `/api/portfolio/sell-history` | 매도 내역 조회/저장 |
 | PUT/DELETE | `/api/portfolio/sell-history/{id}` | 매도 기록 수정/삭제 |
+| GET/POST/DELETE | `/api/stock/watchlist` (+ `/{ticker}`) | 실시간 매수 알람 관심종목 CRUD |
+| GET | `/api/stock/trade-alerts` | 매매 알람 이력 (`days`) |
+| GET | `/api/webai/trade-alert/monitor-set` | (워커) 감시대상 조립 = watchlist∪screener∪보유 + session/params (X-WebAI-Key) |
+| POST | `/api/webai/trade-alert/report` | (워커) 발화집합 수신 → edge diff → 신규만 텔레그램 push (X-WebAI-Key) |
 
 ### music-lab (music-lab/)
 듀얼 프로바이더 음악 생성(Suno + MusicGen) + YouTube 영상 자동화 파이프라인 + 시장 트렌드.
@@ -268,6 +272,7 @@ docker compose up -d
 | POST/GET | `/api/music/compile` (+ `/compiles/{id}/export`) | 컴파일 |
 | POST/GET/DELETE | `/api/music/video-project` (+ `/{id}/render`, `/export`) | 영상 프로젝트 |
 | ALL | `/api/music/pipeline` (생성/start/feedback/cancel/publish/retry/telegram-msg/lookup) | YouTube 자동화 파이프라인. `POST /{id}/retry`=실패 step 재개(publish+업로드완료 시 409) |
+| DELETE | `/api/music/pipeline/{id}` | 파이프라인 행 하드 삭제(자식 jobs/feedback 포함, 전체 목록에서 제거). 없으면 404 |
 | GET/PUT | `/api/music/setup` | 파이프라인 설정 |
 | GET | `/api/music/youtube/auth-url`, `/callback`, `/status`; POST `/disconnect` | YouTube OAuth |
 | GET/POST/PUT/DELETE | `/api/music/revenue` (+ `/dashboard`) | 수익 기록 |
@@ -347,7 +352,7 @@ docker compose up -d
 
 ### agent-office (agent-office/)
 AI 에이전트 가상 오피스 — 기존 서비스 API를 프록시로 호출, 실시간 WebSocket + 텔레그램 봇.
-- 핵심 파일: `main.py`, `db.py`, `config.py`, `websocket_manager.py`, `service_proxy.py`, `telegram_bot.py`, `scheduler.py`, `agents/`(stock/music/realestate/youtube/youtube_publisher/lotto/base)
+- 핵심 파일: `main.py`, `db.py`, `config.py`, `websocket_manager.py`, `service_proxy.py`, `telegram_bot.py`, `scheduler.py`, `node_monitor.py`(분산 워커 관측 집계+경보), `agents/`(stock/music/realestate/youtube/youtube_publisher/lotto/base)
 - 에이전트 7종 레지스트리. 명령 API body 필드명 → `reference_agent_office_command_api.md`
 - 📌 상세(DB 9테이블·FSM·전체 cron 목록·AGENT_CONTAINER_MAP·텔레그램 캐싱·env): **`service_agent_office.md`**
 
@@ -362,11 +367,13 @@ AI 에이전트 가상 오피스 — 기존 서비스 API를 프록시로 호출
 | POST | `/api/agent-office/telegram/webhook` | 텔레그램 Webhook (realestate_bookmark_* 콜백 포함) |
 | POST | `/api/agent-office/realestate/notify` | realestate-lab 전용 push 수신 → 텔레그램 |
 | GET | `/api/agent-office/states` | 전체 에이전트 상태 |
+| GET | `/api/agent-office/nodes` | 분산 워커(NAS↔Windows) 관측 — heartbeat 생사+큐깊이+dead-letter 집계 (web-ui `/infra` Three.js 시각화 소비). 상세 → `infra_distributed_workers.md` |
 | GET | `/api/agent-office/activity` | 전 에이전트 통합 활동 피드 (tasks+logs UNION). 필터 `agent_id`/`type`(task\|log)/`status`/`days` + `limit`/`offset` |
 | GET | `/api/agent-office/conversation/stats` | 텔레그램 대화 토큰·캐시 통계 (`days`) |
 | POST/GET | `/api/agent-office/youtube/research` (+ `/status`) | YouTube 트렌드 수집 트리거/상태 |
 | GET | `/api/agent-office/lotto/signals`, `/lotto/baselines` | 로또 시그널 이력·baseline |
 | POST | `/api/agent-office/lotto/signal-check` | 로또 시그널 평가 트리거 (light/sim/deep) |
+| POST | `/api/agent-office/stock/trade-alert` | stock에서 push된 매매 알람 → 텔레그램(너+아내). 봇 명령 `/watch`·`/unwatch`·`/watchlist`로 watchlist 관리 |
 
 ### tarot-lab (tarot-lab/)
 타로 카드 해석 (Claude Sonnet, agent-office에서 2026-05-25 독립).

agent-office/app/agents/youtube_publisher.py

@@ -4,7 +4,12 @@ import logging
 from .base import BaseAgent
 from . import classify_intent
 from .. import service_proxy
-from ..db import add_log
+from ..db import (
+    add_log,
+    get_notified_failed_pipelines,
+    add_notified_failed_pipeline,
+    prune_notified_failed_pipelines,
+)
 from ..telegram.messaging import send_raw
 
 logger = logging.getLogger("agent-office.youtube_publisher")
@@ -25,8 +30,9 @@ class YoutubePublisherAgent(BaseAgent):
 
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
+        # 진행 중(*_pending) 승인 요청 dedup — 인메모리 유지(의도적).
+        # 재시작 시 살아있는 파이프라인 승인 재알림은 유용한 리마인더라 스팸 아님.
         self._notified_state_per_pipeline: dict[int, tuple] = {}
-        self._notified_failed: set[int] = set()
 
     async def poll_state_changes(self) -> None:
         """주기적으로 호출되어 *_pending 신규 진입 시 텔레그램 발송."""
@@ -52,18 +58,21 @@ class YoutubePublisherAgent(BaseAgent):
         try:
             failed = await service_proxy.list_failed_pipelines()
         except Exception as e:
+            # 일시적 폴링 실패를 "failed 없음"으로 오해하면 원장을 비워 재알림 스팸이 남.
+            # → 원장을 건드리지 않고 조용히 종료(다음 폴링에서 재시도).
             logger.warning("failed 폴링 실패: %s", e)
-            failed = []
+            return
+        notified = get_notified_failed_pipelines()
         for p in failed:
             pid = p.get("id")
             if pid is None:
                 continue
-            if pid not in self._notified_failed:
+            if pid not in notified:
                 await self._notify_failed(p)
-                self._notified_failed.add(pid)
+                add_notified_failed_pipeline(pid)
-        # 재개되어 failed에서 벗어난 파이프라인은 재알림 가능하도록 해제
+        # 재개되어 failed에서 벗어난 파이프라인은 재알림 가능하도록 원장에서 제거
-        failed_ids = {p.get("id") for p in failed}
+        failed_ids = {p.get("id") for p in failed if p.get("id") is not None}
-        self._notified_failed &= failed_ids
+        prune_notified_failed_pipelines(failed_ids)
 
     async def _notify_failed(self, p: dict) -> None:
         reason = p.get("failed_reason") or "?"

agent-office/app/db.py

@@ -158,6 +158,12 @@ def init_db() -> None:
             CREATE INDEX IF NOT EXISTS idx_tarot_favorite
             ON tarot_readings(favorite, created_at DESC)
         """)
+        conn.execute("""
+            CREATE TABLE IF NOT EXISTS notified_failed_pipelines (
+                pipeline_id INTEGER PRIMARY KEY,
+                notified_at TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%fZ','now'))
+            )
+        """)
         # Seed default agent configs
         for agent_id, name in [
             ("stock", "주식 트레이더"),
@@ -826,6 +832,47 @@ def get_all_baselines() -> List[Dict[str, Any]]:
     return out
 
 
+# --- notified_failed_pipelines (파이프라인 실패 알림 dedup 원장, 재시작 지속) ---
+
+def get_notified_failed_pipelines() -> set:
+    """이미 실패 알림을 발송한 pipeline_id 집합."""
+    with _conn() as conn:
+        rows = conn.execute(
+            "SELECT pipeline_id FROM notified_failed_pipelines"
+        ).fetchall()
+    return {r["pipeline_id"] for r in rows}
+
+
+def add_notified_failed_pipeline(pipeline_id: int) -> None:
+    with _conn() as conn:
+        conn.execute(
+            "INSERT OR IGNORE INTO notified_failed_pipelines(pipeline_id) VALUES(?)",
+            (pipeline_id,),
+        )
+
+
+def prune_notified_failed_pipelines(active_failed_ids) -> None:
+    """현재 failed 목록에 없는 pipeline_id를 원장에서 제거.
+
+    재개되어 failed에서 벗어난 파이프라인이 다시 실패하면 재알림 가능하도록 함.
+    (기존 인메모리 `_notified_failed &= failed_ids`의 영속 버전)
+    """
+    keep = set(active_failed_ids)
+    with _conn() as conn:
+        existing = {
+            r["pipeline_id"]
+            for r in conn.execute(
+                "SELECT pipeline_id FROM notified_failed_pipelines"
+            ).fetchall()
+        }
+        stale = existing - keep
+        for pid in stale:
+            conn.execute(
+                "DELETE FROM notified_failed_pipelines WHERE pipeline_id=?",
+                (pid,),
+            )
+
+
 def get_tasks_by_agent_date_kind(agent_id: str, date_iso: str, task_type: str) -> List[Dict[str, Any]]:
     """같은 (agent, date, task_type)으로 이미 생성된 task 조회. 멱등 guard."""
     with _conn() as conn:

agent-office/app/main.py

@@ -278,3 +278,19 @@ async def trigger_signal_check(source: str = "light"):
     if not agent:
         raise HTTPException(status_code=503, detail="lotto agent not registered")
     return await agent.run_signal_check(source=source)
+
+
+# --- Trade Alert Notify Endpoint ---
+
+class TradeAlertBody(BaseModel):
+    alerts: List[Dict[str, Any]] = []
+
+
+@app.post("/api/agent-office/stock/trade-alert")
+async def stock_trade_alert(body: TradeAlertBody):
+    from .notifiers.telegram_trade import send_trade_alerts
+    from .db import add_log
+    res = await send_trade_alerts(body.alerts)
+    for a in body.alerts:
+        add_log("stock", f"매매알람 {a.get('kind')} {a.get('ticker')} {a.get('condition')}", "info")
+    return res

agent-office/app/notifiers/telegram_trade.py

@@ -0,0 +1,45 @@
+"""매매 알람 텔레그램 포맷+전송 (본인+아내 각각)."""
+import logging
+from typing import Any, Dict, List
+
+from ..telegram.messaging import send_raw
+from ..config import TELEGRAM_CHAT_ID, TELEGRAM_WIFE_CHAT_ID
+
+logger = logging.getLogger("agent-office")
+
+_KIND_LABEL = {"buy": "🟢 매수", "sell": "🔴 매도"}
+_COND_LABEL = {
+    "buy_ma20_pullback": "지지선 되돌림", "buy_breakout": "돌파", "buy_rsi_bounce": "RSI 과매도 반등",
+    "sell_stop_loss": "손절", "sell_ma_break": "이평 이탈", "sell_take_profit": "익절",
+    "sell_climax": "급등 소진", "sell_trailing_stop": "트레일링 스톱",
+}
+
+
+def format_trade_alert(a: Dict[str, Any]) -> str:
+    kind = _KIND_LABEL.get(a["kind"], a["kind"])
+    cond = _COND_LABEL.get(a["condition"], a["condition"])
+    name = a.get("name") or a["ticker"]
+    price = a.get("price")
+    price_s = f"{int(price):,}원" if price else "-"
+    return f"{kind} 알람\n<b>{name}</b> ({a['ticker']})\n조건: {cond}\n현재가: {price_s}"
+
+
+async def send_trade_alerts(alerts: List[Dict[str, Any]]) -> dict:
+    """알람마다 본인+아내 chat_id 각각으로 send_raw. 실패해도 계속 진행."""
+    sent = 0
+    all_ok = True
+    chat_ids = [c for c in (TELEGRAM_CHAT_ID, TELEGRAM_WIFE_CHAT_ID) if c]
+    for a in alerts:
+        text = format_trade_alert(a)
+        for cid in chat_ids:
+            try:
+                r = await send_raw(text, chat_id=cid)
+            except Exception as e:
+                logger.warning(f"[telegram_trade] send failed (chat_id={cid}): {e}")
+                all_ok = False
+                continue
+            if r.get("ok"):
+                sent += 1
+            else:
+                all_ok = False
+    return {"sent": sent, "ok": all_ok}

agent-office/app/service_proxy.py

@@ -111,6 +111,29 @@ async def stock_holdings_brief() -> Dict[str, Any]:
     return resp.json()
 
 
+# --- stock watchlist (실시간 매매 알람) ---
+
+async def watchlist_add(ticker: str) -> Dict[str, Any]:
+    """stock의 관심종목 추가 (POST, 이미 존재하면 멱등하게 갱신)."""
+    resp = await _client.post(f"{STOCK_URL}/api/stock/watchlist", json={"ticker": ticker})
+    resp.raise_for_status()
+    return resp.json()
+
+
+async def watchlist_remove(ticker: str) -> Dict[str, Any]:
+    """stock의 관심종목 삭제."""
+    resp = await _client.delete(f"{STOCK_URL}/api/stock/watchlist/{ticker}")
+    resp.raise_for_status()
+    return resp.json()
+
+
+async def watchlist_list() -> Dict[str, Any]:
+    """stock의 관심종목 목록 조회 → {"watchlist": [...]}."""
+    resp = await _client.get(f"{STOCK_URL}/api/stock/watchlist")
+    resp.raise_for_status()
+    return resp.json()
+
+
 async def generate_music(payload: dict) -> Dict[str, Any]:
     resp = await _client.post(f"{MUSIC_LAB_URL}/api/music/generate", json=payload)
     resp.raise_for_status()

agent-office/app/telegram/webhook.py

@@ -1,6 +1,7 @@
 """텔레그램 Webhook 이벤트 처리."""
 from typing import Optional
 
+from .. import service_proxy
 from ..db import get_telegram_callback, mark_telegram_responded
 from .client import _enabled, api_call
 
@@ -23,12 +24,43 @@ async def handle_webhook(data: dict, agent_dispatcher=None) -> Optional[dict]:
     if message:
         chat = message.get("chat", {})
         print(f"[TG-WEBHOOK] chat.id={chat.get('id')} type={chat.get('type')} text={message.get('text')!r}", flush=True)
+    if message and message.get("text"):
+        if await handle_watch_command(message):
+            return None
     if message and message.get("text") and agent_dispatcher is not None:
         return await _handle_message(message, agent_dispatcher)
 
     return None
 
 
+async def handle_watch_command(message: dict) -> bool:
+    """/watch /unwatch /watchlist 명령을 처리해 stock watchlist API로 프록시.
+
+    처리했으면(응답 전송 포함) True, 매칭되지 않는 텍스트면 False."""
+    text = (message.get("text") or "").strip()
+    chat_id = message.get("chat", {}).get("id")
+    parts = text.split()
+    cmd = parts[0].lower() if parts else ""
+
+    if cmd == "/watch" and len(parts) >= 2:
+        await service_proxy.watchlist_add(parts[1])
+        reply = f"관심종목 추가: {parts[1]}"
+    elif cmd == "/unwatch" and len(parts) >= 2:
+        await service_proxy.watchlist_remove(parts[1])
+        reply = f"관심종목 삭제: {parts[1]}"
+    elif cmd == "/watchlist":
+        res = await service_proxy.watchlist_list()
+        items = res.get("watchlist", [])
+        reply = "관심종목:\n" + (
+            "\n".join(f"- {w.get('name') or ''} ({w['ticker']})" for w in items) or "(없음)"
+        )
+    else:
+        return False
+
+    await api_call("sendMessage", {"chat_id": chat_id, "text": reply})
+    return True
+
+
 async def _handle_callback(callback_query: dict) -> Optional[dict]:
     """승인/거절 및 realestate 북마크 콜백 처리."""
     callback_id = callback_query.get("data", "")

agent-office/tests/test_trade_alert_notify.py

@@ -0,0 +1,55 @@
+import os
+import sys
+import tempfile
+
+_fd, _TMP = tempfile.mkstemp(suffix=".db")
+os.close(_fd)
+os.unlink(_TMP)
+os.environ["AGENT_OFFICE_DB_PATH"] = _TMP
+
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+
+import pytest
+from unittest.mock import AsyncMock, patch
+
+
+@pytest.fixture(autouse=True)
+def _init_db(monkeypatch):
+    import gc
+    gc.collect()
+    # config.DB_PATH는 첫 import 시 1회 고정되므로, 다른 테스트 파일과 조합 실행 시
+    # db가 이 파일의 _TMP가 아닌 다른 경로를 쓸 수 있다. db.DB_PATH를 이 파일 전용으로
+    # 강제해 영속 테이블의 테스트 간 누수를 결정적으로 차단.
+    import app.db as _db
+    monkeypatch.setattr(_db, "DB_PATH", _TMP)
+    # WAL 사이드카(-wal/-shm)까지 지워야 영속 상태가 남지 않음
+    for suffix in ("", "-wal", "-shm"):
+        p = _TMP + suffix
+        if os.path.exists(p):
+            os.remove(p)
+    _db.init_db()
+    yield
+    gc.collect()
+
+
+@pytest.mark.asyncio
+async def test_send_trade_alerts_to_user_and_wife():
+    from app.notifiers import telegram_trade
+    alerts = [{"ticker": "005930", "name": "삼성전자", "kind": "buy",
+               "condition": "buy_breakout", "price": 71500, "detail": {}}]
+    with patch("app.notifiers.telegram_trade.send_raw",
+               new=AsyncMock(return_value={"ok": True})) as m, \
+         patch("app.notifiers.telegram_trade.TELEGRAM_CHAT_ID", "U"), \
+         patch("app.notifiers.telegram_trade.TELEGRAM_WIFE_CHAT_ID", "W"):
+        res = await telegram_trade.send_trade_alerts(alerts)
+    assert res["ok"] is True
+    chat_ids = {c.kwargs.get("chat_id") for c in m.await_args_list}
+    assert chat_ids == {"U", "W"}      # 둘 다 발송
+
+
+@pytest.mark.asyncio
+async def test_format_trade_alert_has_direction():
+    from app.notifiers.telegram_trade import format_trade_alert
+    txt = format_trade_alert({"ticker": "005930", "name": "삼성전자", "kind": "sell",
+                              "condition": "sell_stop_loss", "price": 60000, "detail": {}})
+    assert "매도" in txt and "삼성전자" in txt

agent-office/tests/test_watch_commands.py

@@ -0,0 +1,93 @@
+import os
+import sys
+import tempfile
+
+_fd, _TMP = tempfile.mkstemp(suffix=".db")
+os.close(_fd)
+os.unlink(_TMP)
+os.environ["AGENT_OFFICE_DB_PATH"] = _TMP
+
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+
+import pytest
+from unittest.mock import AsyncMock, patch
+
+
+@pytest.fixture(autouse=True)
+def _init_db(monkeypatch):
+    import gc
+    gc.collect()
+    # config.DB_PATH는 첫 import 시 1회 고정되므로, 다른 테스트 파일과 조합 실행 시
+    # db가 이 파일의 _TMP가 아닌 다른 경로를 쓸 수 있다. db.DB_PATH를 이 파일 전용으로
+    # 강제해 영속 테이블의 테스트 간 누수를 결정적으로 차단.
+    import app.db as _db
+    monkeypatch.setattr(_db, "DB_PATH", _TMP)
+    for suffix in ("", "-wal", "-shm"):
+        p = _TMP + suffix
+        if os.path.exists(p):
+            os.remove(p)
+    _db.init_db()
+    yield
+    gc.collect()
+
+
+@pytest.mark.asyncio
+async def test_watch_command_calls_add():
+    from app.telegram import webhook
+    msg = {"chat": {"id": 1}, "text": "/watch 005930"}
+    with patch("app.telegram.webhook.service_proxy.watchlist_add",
+               new=AsyncMock(return_value={"ok": True})) as m, \
+         patch("app.telegram.webhook.api_call", new=AsyncMock(return_value={"ok": True})):
+        handled = await webhook.handle_watch_command(msg)
+    assert handled is True
+    m.assert_awaited_once_with("005930")
+
+
+@pytest.mark.asyncio
+async def test_non_watch_text_ignored():
+    from app.telegram import webhook
+    msg = {"chat": {"id": 1}, "text": "안녕"}
+    assert await webhook.handle_watch_command(msg) is False
+
+
+@pytest.mark.asyncio
+async def test_unwatch_command_calls_remove():
+    from app.telegram import webhook
+    msg = {"chat": {"id": 1}, "text": "/unwatch 005930"}
+    with patch("app.telegram.webhook.service_proxy.watchlist_remove",
+               new=AsyncMock(return_value={"ok": True})) as m, \
+         patch("app.telegram.webhook.api_call", new=AsyncMock(return_value={"ok": True})) as sent:
+        handled = await webhook.handle_watch_command(msg)
+    assert handled is True
+    m.assert_awaited_once_with("005930")
+    sent.assert_awaited_once()
+
+
+@pytest.mark.asyncio
+async def test_watchlist_command_calls_list_and_formats_items():
+    from app.telegram import webhook
+    msg = {"chat": {"id": 1}, "text": "/watchlist"}
+    items = {"watchlist": [{"ticker": "005930", "name": "삼성전자"}]}
+    with patch("app.telegram.webhook.service_proxy.watchlist_list",
+               new=AsyncMock(return_value=items)) as m, \
+         patch("app.telegram.webhook.api_call", new=AsyncMock(return_value={"ok": True})) as sent:
+        handled = await webhook.handle_watch_command(msg)
+    assert handled is True
+    m.assert_awaited_once_with()
+    text = sent.await_args.args[1]["text"]
+    assert "005930" in text and "삼성전자" in text
+
+
+@pytest.mark.asyncio
+async def test_watch_command_reaches_handle_webhook_before_slash_dispatch():
+    """handle_webhook이 /watch 를 agent_dispatcher 호출 전에 가로채야 한다."""
+    from app.telegram import webhook
+    data = {"message": {"chat": {"id": 1}, "text": "/watch 005930"}}
+    dispatcher = AsyncMock(side_effect=AssertionError("agent_dispatcher가 호출되면 안 됨"))
+    with patch("app.telegram.webhook.service_proxy.watchlist_add",
+               new=AsyncMock(return_value={"ok": True})) as m, \
+         patch("app.telegram.webhook.api_call", new=AsyncMock(return_value={"ok": True})):
+        result = await webhook.handle_webhook(data, agent_dispatcher=dispatcher)
+    assert result is None
+    m.assert_awaited_once_with("005930")
+    dispatcher.assert_not_awaited()

agent-office/tests/test_youtube_publisher_retry.py

@@ -14,13 +14,20 @@ from unittest.mock import AsyncMock, patch
 
 
 @pytest.fixture(autouse=True)
-def _init_db():
+def _init_db(monkeypatch):
     import gc
     gc.collect()
-    if os.path.exists(_TMP):
+    # config.DB_PATH는 첫 import 시 1회 고정되므로, 다른 테스트 파일과 조합 실행 시
-        os.remove(_TMP)
+    # db가 이 파일의 _TMP가 아닌 다른 경로를 쓸 수 있다. db.DB_PATH를 이 파일 전용으로
-    from app.db import init_db
+    # 강제해 영속 테이블(notified_failed_pipelines 등)의 테스트 간 누수를 결정적으로 차단.
-    init_db()
+    import app.db as _db
+    monkeypatch.setattr(_db, "DB_PATH", _TMP)
+    # WAL 사이드카(-wal/-shm)까지 지워야 영속 상태가 남지 않음
+    for suffix in ("", "-wal", "-shm"):
+        p = _TMP + suffix
+        if os.path.exists(p):
+            os.remove(p)
+    _db.init_db()
     yield
     gc.collect()
 
@@ -211,3 +218,70 @@ async def test_failed_poll_exception_is_silent():
 
     # active 알림은 정상 발송
     assert sent.await_count == 1
+
+
+@pytest.mark.asyncio
+async def test_failed_notification_persists_across_restart():
+    """컨테이너 재시작(새 에이전트 인스턴스)해도 이미 알린 failed는 재알림하지 않음."""
+    from app.agents.youtube_publisher import YoutubePublisherAgent
+
+    failed_pipeline = {
+        "id": 3,
+        "state": "failed",
+        "failed_reason": "video: timeout",
+        "track_title": "beat music v2",
+    }
+    sent = AsyncMock(return_value={"ok": True, "message_id": 1})
+
+    with patch(
+        "app.agents.youtube_publisher.service_proxy.list_active_pipelines",
+        new=AsyncMock(return_value=[]),
+    ), patch(
+        "app.agents.youtube_publisher.service_proxy.list_failed_pipelines",
+        new=AsyncMock(return_value=[failed_pipeline]),
+    ), patch(
+        "app.agents.youtube_publisher.send_raw",
+        new=sent,
+    ):
+        agent1 = YoutubePublisherAgent()
+        await agent1.poll_state_changes()
+        # 컨테이너 재시작 시뮬레이션: 완전히 새로운 인스턴스(인메모리 상태 소실)
+        agent2 = YoutubePublisherAgent()
+        await agent2.poll_state_changes()
+
+    # 재시작해도 DB 원장으로 중복 방지 → 1회만 알림
+    assert sent.await_count == 1
+
+
+@pytest.mark.asyncio
+async def test_transient_failed_poll_keeps_ledger():
+    """failed 폴링이 일시적으로 예외를 던져도 원장을 비우지 않아 다음 폴링에서 재알림하지 않음."""
+    from app.agents.youtube_publisher import YoutubePublisherAgent
+
+    failed_pipeline = {
+        "id": 3,
+        "state": "failed",
+        "failed_reason": "video: timeout",
+        "track_title": "beat music v2",
+    }
+    list_failed = AsyncMock(
+        side_effect=[[failed_pipeline], Exception("boom"), [failed_pipeline]]
+    )
+    sent = AsyncMock(return_value={"ok": True, "message_id": 1})
+
+    with patch(
+        "app.agents.youtube_publisher.service_proxy.list_active_pipelines",
+        new=AsyncMock(return_value=[]),
+    ), patch(
+        "app.agents.youtube_publisher.service_proxy.list_failed_pipelines",
+        new=list_failed,
+    ), patch(
+        "app.agents.youtube_publisher.send_raw",
+        new=sent,
+    ):
+        agent = YoutubePublisherAgent()
+        await agent.poll_state_changes()  # #3 최초 알림
+        await agent.poll_state_changes()  # 예외 → 원장 유지되어야 (섣부른 정리 금지)
+        await agent.poll_state_changes()  # #3 여전히 failed → 재알림 없어야
+
+    assert sent.await_count == 1

docker-compose.yml

@@ -464,7 +464,7 @@ services:
       - "6379:6379"
     volumes:
       - ${RUNTIME_PATH}/redis-data:/data
-    command: redis-server --appendonly yes --maxmemory 256mb --maxmemory-policy allkeys-lru
+    command: redis-server --appendonly yes --save "" --stop-writes-on-bgsave-error no --maxmemory 256mb --maxmemory-policy allkeys-lru
     healthcheck:
       test: ["CMD", "redis-cli", "ping"]
       interval: 60s

docs/superpowers/specs/2026-07-02-realtime-trade-alerts-design.md

@@ -0,0 +1,220 @@
+# 실시간 매매 알람 (Real-time Trade Alerts) — 설계 스펙
+
+- 작성일: 2026-07-02
+- 상태: 설계 승인됨 (사용자 리뷰 대기)
+- 관련 세션: BE(web-backend, 본 스펙 주도) · AI(web-ai 워커) · FE(web-ui 탭)
+
+## 1. 목표
+
+장이 열려 있는 동안(**시간외 포함**) 실시간으로 주가 기준치를 분석해, 조건 충족 시 **매수/매도 알람**을 텔레그램으로 **사용자 + 아내** 둘 다에게 전송한다. 기술적 분석(TA) 계산은 **Windows PC의 docker 워커**에서 수행한다.
+
+기존에는 이 판단들이 EOD(하루 1회)로만 돌았다:
+- 매수 후보 = 스크리너(평일 16:30) · 매도/보유 advisory = holdings_intel(08:30/16:50).
+
+이번 작업의 핵심 = **동일 판단을 장중(+시간외) 1분 주기 실시간으로 전환 + 조건 충족 즉시 알람**.
+
+## 2. 확정된 요구사항 (사용자 결정)
+
+| 항목 | 결정 |
+|------|------|
+| 매수 유니버스 | **watchlist(사용자 관리) ∪ 당일 스크리너 후보** |
+| 매수 트리거 | **TA 자동 시그널**(수동 목표가 없음) |
+| 매도 트리거 | **기존 exit 룰 + 트레일링 스톱** |
+| 감시 주기/세션 | **1분 폴링** · 장전 시간외 08:30–09:00 · 정규장 09:00–15:30 · 시간외 단일가 16:00–18:00 |
+| 중복 방지 | **상태 전이(edge-triggered)** — 거짓→참 전이 시만 알림, 참 유지 중 무알림, 재무장 |
+| watchlist 관리 | **텔레그램 봇 명령 + web-ui 탭 둘 다** |
+| 수신자 | **사용자 + 아내 둘 다**(매수·매도 모두) |
+| TA 연산 위치 | **Windows WSL2 docker 신규 워커** |
+| 트레일링 스톱 기본값 | 보유기간 고점 대비 **−10%**(파라미터화) |
+| 매수 신호 | 지지선 되돌림(MA20/50) · 돌파(전고점/52주) · RSI 과매도 반등 |
+
+## 3. 아키텍처
+
+```
+[Windows WSL2 docker] trade-monitor 워커  (web-ai · AI세션)
+  1분 루프 (KST 세션 게이팅)
+   ① GET  NAS  /api/webai/trade-alert/monitor-set   (X-WebAI-Key)
+   ② KIS 실시간/시간외 시세 + 분봉/일봉 → TA 계산
+   ③ 조건 평가 → 현재 발화집합 F = {(ticker, kind, condition)}
+   ④ POST NAS  /api/webai/trade-alert/report {firing: F}   (X-WebAI-Key)
+   ⑤ heartbeat: worker:trade-monitor:heartbeat (EX45, 관측 편입)
+        │
+        ▼
+[NAS] stock (:18500 · web-backend · BE)
+   • watchlist·alert_state(edge dedup, 영속)·alert_history·holding high-water
+   • monitor-set 조립(watchlist ∪ screener 후보 ∪ 보유) + 세션/휴장 게이팅
+   • report 수신 → edge diff(F vs 직전 발화) → 신규 edge를 agent-office로 push
+        │ (텔레그램 전송 성공 시에만 alert_state 갱신)
+        ▼
+[NAS] agent-office (:18900 · web-backend · BE)
+   • POST /api/agent-office/stock/trade-alert → 텔레그램(너+아내)
+   • 봇 명령 /watch /unwatch /watchlist → stock watchlist CRUD
+   • 알람 activity feed 편입
+
+[web-ui] 관심종목 탭 (FE세션) — watchlist CRUD + 알람 이력 뷰
+```
+
+**설계 원칙**
+- TA/조건판정 = Windows(요구사항). **edge 중복판정 상태 = NAS 영속** → 워커 재시작해도 재알림 스팸 없음(youtube_publisher 교훈 재적용).
+- 워커는 dedup 상태를 **안 가진다**. 매 사이클 "현재 발화집합 전체"만 보고 → NAS가 diff(단일 진실원천).
+- 워커의 대외 채널은 **NAS stock 한 곳**(기존 ai_trade↔stock의 `X-WebAI-Key` 재사용). 텔레그램 발송은 stock→agent-office push(기존 realestate→agent-office/notify 패턴).
+
+## 4. DB 스키마 (stock.db)
+
+```sql
+-- 매수 감시 관심종목 (사용자 관리)
+CREATE TABLE IF NOT EXISTS watchlist (
+  ticker      TEXT PRIMARY KEY,
+  name        TEXT,
+  note        TEXT,
+  params_json TEXT NOT NULL DEFAULT '{}',   -- 종목별 조건 오버라이드(선택)
+  added_at    TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%fZ','now'))
+);
+
+-- edge 중복판정 상태 (영속 — 재시작 스팸 방지의 핵심)
+CREATE TABLE IF NOT EXISTS trade_alert_state (
+  ticker           TEXT NOT NULL,
+  kind             TEXT NOT NULL,   -- 'buy' | 'sell'
+  condition        TEXT NOT NULL,   -- ex) buy_ma20_pullback, sell_trailing_stop
+  currently_firing INTEGER NOT NULL DEFAULT 0,
+  first_fired_at   TEXT,
+  last_fired_at    TEXT,
+  last_seen_at     TEXT,
+  PRIMARY KEY (ticker, kind, condition)
+);
+
+-- 알람 이력
+CREATE TABLE IF NOT EXISTS trade_alert_history (
+  id          INTEGER PRIMARY KEY AUTOINCREMENT,
+  ticker      TEXT NOT NULL,
+  name        TEXT,
+  kind        TEXT NOT NULL,
+  condition   TEXT NOT NULL,
+  price       REAL,
+  detail_json TEXT,
+  fired_at    TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%fZ','now'))
+);
+CREATE INDEX IF NOT EXISTS idx_tah_fired ON trade_alert_history(fired_at DESC);
+```
+
+보유기간 고점(트레일링 스톱용) high-water는 `krx_daily_prices`(기존)에서 lookback max로 계산하거나 별도 컬럼으로 관리 — 구현 계획에서 확정(v1: 포지션 최초 관측 이후 일봉 고가 max, 없으면 최근 N일).
+
+## 5. 계약 (Contracts) — cross-repo 잠금 대상
+
+### 5.1 NAS stock ↔ Windows 워커 (X-WebAI-Key)
+
+`GET /api/webai/trade-alert/monitor-set`
+```json
+{
+  "session": "pre | regular | after | closed",
+  "as_of": "2026-07-02T09:01:00+09:00",
+  "buy_targets":  [{"ticker":"005930","name":"삼성전자","source":"watch|screener","params":{}}],
+  "sell_targets": [{"ticker":"000660","name":"SK하이닉스","avg_price":180000,"qty":10,
+                    "holding_high":210000,"params":{}}],
+  "buy_params":  {"rsi_oversold":30,"breakout_vol_mult":1.5,"pullback_pct":0.02},
+  "exit_params": {"stop_pct":0.08,"take_pct":0.25,"trailing_pct":0.10}
+}
+```
+- `session=closed`면 워커는 KIS 호출 없이 sleep.
+
+`POST /api/webai/trade-alert/report`
+```json
+{ "as_of":"2026-07-02T09:01:00+09:00",
+  "firing":[ {"ticker":"005930","kind":"buy","condition":"buy_ma20_pullback",
+              "price":71500,"detail":{"ma20":71200,"rsi":34}} ] }
+```
+응답: `{ "new_alerts": <int>, "cleared": <int> }`
+- NAS가 `firing` vs `trade_alert_state[firing=1]` diff → 신규 edge만 텔레그램.
+
+### 5.2 stock → agent-office (내부)
+
+`POST /api/agent-office/stock/trade-alert`
+```json
+{ "alerts":[ {"ticker":"005930","name":"삼성전자","kind":"buy",
+              "condition":"buy_ma20_pullback","price":71500,
+              "detail":{...},"fired_at":"..."} ] }
+```
+→ agent-office가 너+아내에게 텔레그램. (realestate/notify 패턴)
+
+### 5.3 stock watchlist CRUD (web-ui + agent-office 봇)
+- `GET /api/stock/watchlist`
+- `POST /api/stock/watchlist` `{ticker, note?}`
+- `DELETE /api/stock/watchlist/{ticker}`
+- `GET /api/stock/trade-alerts?days=N` (이력, web-ui용)
+
+### 5.4 워커 heartbeat (관측 편입)
+`worker:trade-monitor:heartbeat` EX45, 값 JSON `{name:"trade-monitor",kind:"trader",state:"market_open|market_closed|idle",ts,last_alert_at,...}`. `/api/agent-office/nodes` workers[]에 추가.
+
+## 6. 알람 조건 (Windows 워커가 계산)
+
+**매수** (buy_targets):
+- `buy_ma20_pullback` — MA20>MA50>MA200 정렬 + 저가가 MA20/50에 `pullback_pct` 이내 접근 후 종가 반등
+- `buy_breakout` — 종가 > (전 N일 고점 또는 52주 신고가) + 거래량 > `breakout_vol_mult`×20일평균
+- `buy_rsi_bounce` — RSI(14)가 `rsi_oversold` 아래로 내려갔다가 **봉 시리즈 내에서** 다시 상향 돌파(최근 봉에서 30 상향 크로스). 워커는 무상태 — 매 사이클 봉 데이터로 크로스를 계산(cross-cycle 메모리 불필요)
+
+**매도** (sell_targets):
+- `sell_stop_loss` — (price−avg)/avg ≤ −`stop_pct`
+- `sell_ma_break` — 종가 < MA50 (심각: < MA200)
+- `sell_take_profit` — (price−avg)/avg ≥ `take_pct`
+- `sell_climax` — 급등 소진(holdings_intel climax 로직 이식)
+- `sell_trailing_stop` — price ≤ holding_high × (1 − `trailing_pct`)
+
+## 7. 데이터 흐름 — edge dedup (NAS)
+
+```
+매 1분 report 수신 시:
+  F        = report.firing 집합
+  prev     = SELECT (ticker,kind,condition) FROM trade_alert_state WHERE currently_firing=1
+  new_edge = F − prev
+  cleared  = prev − F
+  for e in new_edge:
+      ok = agent_office.send_trade_alert(e)          # 텔레그램
+      if ok:
+          INSERT trade_alert_history(e)
+          UPSERT trade_alert_state(e, firing=1, fired/last=now)
+      # 실패 시 상태 미갱신 → 다음 사이클 재시도
+  for c in cleared:
+      UPDATE trade_alert_state SET firing=0 WHERE key=c   # 재무장
+  UPDATE last_seen_at for all F
+```
+- 영속 `trade_alert_state` → 워커·NAS 재시작에도 재알림 스팸 없음.
+- 텔레그램 실패 시 firing 미표시 → 재시도 보장(node_monitor "성공 시만 갱신" 관용).
+
+## 8. 세션/휴장 게이팅
+
+NAS `monitor-set.session` 필드가 KST 시각 + `holidays.json`(`is_market_open`)으로 판정:
+- pre 08:30–09:00 / regular 09:00–15:30 / after 16:00–18:00 → 그 외/휴장 = closed.
+- 워커는 `closed`면 sleep. (불필요 KIS 호출·알람 차단)
+
+## 9. 에러 처리
+
+- 워커: KIS 실패 → 해당 사이클 skip + 다음 분 재시도, 종목별 실패 격리. heartbeat로 생사 노출.
+- NAS: 워커 인증 `X-WebAI-Key`. 텔레그램 실패 → 상태 미갱신. `report`는 멱등(같은 F 재전송 무해).
+- 워커 다운 시 알람 정지 → node_monitor 경보(기존 관측)로 감지.
+
+## 10. 테스트 전략 (BE, TDD)
+
+- watchlist CRUD (추가/중복/삭제/조회)
+- monitor-set 조립 (watchlist ∪ screener ∪ 보유, 세션 게이팅, 휴장)
+- **edge diff 로직**: 신규 edge만 알림 / 참 유지 무알림 / 해제 후 재발화 재알림 / 재시작 지속성(영속 상태)
+- 텔레그램 전송 실패 시 상태 미갱신(재시도)
+- alert_history 기록 / trade-alerts 조회
+- agent-office: /watch·/unwatch·/watchlist 봇 명령 → stock CRUD, trade-alert notify → 텔레그램 포맷(너+아내)
+- webai 계약 엔드포인트(monitor-set/report) 스키마·인증
+
+## 11. 작업 분담
+
+| repo | 세션 | 산출물 | 상태 |
+|------|------|--------|------|
+| **web-backend** (stock + agent-office) | **BE(본 세션)** | DB·watchlist·edge·webai 계약·텔레그램·봇 | 이번에 구현 |
+| **web-ai** (`services/trade-monitor/` WSL2 docker) | AI세션 | 1분 루프·KIS·TA·조건평가·report·heartbeat | 계약 넘김 |
+| **web-ui** (관심종목 탭) | FE세션 | watchlist CRUD·조건·이력 뷰 | 계약 넘김 |
+
+- 계약(§5)은 co-gahusb로 잠근 뒤 3세션 병렬.
+- 워커 재빌드는 로컬 docker(사용자): `wsl -d Ubuntu-24.04 -- docker compose up -d --build trade-monitor`.
+
+## 12. 범위 밖 (YAGNI / 후속)
+- 실주문 자동 집행(알람 전용, KIS 주문 X).
+- KIS 웹소켓 실시간 틱(1분 폴링으로 충분).
+- 종목별 수동 목표가(이번은 TA 자동만).
+- 백테스트/성과 추적(후속 슬라이스).

music-lab/app/db.py

@@ -1100,6 +1100,19 @@ def get_pipeline(pid: int) -> Optional[Dict[str, Any]]:
     return _parse_pipeline_row(row)
 
 
+def delete_pipeline(pid: int) -> bool:
+    """파이프라인과 자식행(pipeline_feedback, pipeline_jobs)을 하드 삭제.
+
+    SQLite FK를 강제하지 않으므로 자식행을 명시적으로 먼저 삭제한다.
+    파이프라인이 존재했으면 True, 없었으면 False.
+    """
+    with _conn() as conn:
+        conn.execute("DELETE FROM pipeline_feedback WHERE pipeline_id = ?", (pid,))
+        conn.execute("DELETE FROM pipeline_jobs WHERE pipeline_id = ?", (pid,))
+        cur = conn.execute("DELETE FROM video_pipelines WHERE id = ?", (pid,))
+        return cur.rowcount > 0
+
+
 def update_pipeline_state(pid: int, state: str, **fields) -> None:
     """파이프라인 state를 갱신하고 옵션 컬럼을 함께 업데이트한다.
 

music-lab/app/main.py

@@ -1133,6 +1133,14 @@ def cancel_pipeline(pid: int):
     return {"ok": True}
 
 
+@app.delete("/api/music/pipeline/{pid}")
+def delete_pipeline_endpoint(pid: int):
+    """파이프라인 행을 하드 삭제(전체 목록에서 완전 제거). 없으면 404."""
+    if not _db_module.delete_pipeline(pid):
+        raise HTTPException(404)
+    return {"ok": True, "deleted": pid}
+
+
 @app.post("/api/music/pipeline/{pid}/retry", status_code=202)
 async def retry_pipeline(pid: int, bg: BackgroundTasks):
     from .pipeline.state_machine import STEPS

music-lab/tests/test_pipeline_endpoints.py

@@ -105,6 +105,29 @@ def test_cancel_pipeline(client):
     assert db.get_pipeline(pid)["state"] == "cancelled"
 
 
+def test_delete_pipeline_removes_from_db(client):
+    pid = client.post("/api/music/pipeline", json={"track_id": 1}).json()["id"]
+    r = client.request("DELETE", f"/api/music/pipeline/{pid}")
+    assert r.status_code == 200
+    assert r.json()["ok"] is True
+    assert db.get_pipeline(pid) is None
+    all_ids = [p["id"] for p in client.get("/api/music/pipeline?status=all").json()["pipelines"]]
+    assert pid not in all_ids
+
+
+def test_delete_pipeline_not_found_returns_404(client):
+    r = client.request("DELETE", "/api/music/pipeline/99999")
+    assert r.status_code == 404
+
+
+def test_delete_pipeline_removes_child_jobs(client):
+    pid = client.post("/api/music/pipeline", json={"track_id": 1}).json()["id"]
+    db.create_pipeline_job(pid, "cover")
+    assert len(db.list_pipeline_jobs(pid)) == 1
+    client.request("DELETE", f"/api/music/pipeline/{pid}")
+    assert db.list_pipeline_jobs(pid) == []
+
+
 def test_setup_get_returns_defaults(client):
     r = client.get("/api/music/setup")
     assert r.status_code == 200

stock/app/db.py

@@ -2,6 +2,7 @@ import sqlite3
 import os
 import hashlib
 import json
+import datetime as dt
 from typing import List, Dict, Any, Optional
 
 from app.screener.schema import ensure_screener_schema
@@ -125,6 +126,42 @@ def init_db():
         conn.execute("CREATE INDEX IF NOT EXISTS idx_holdings_sig_ticker "
                      "ON holdings_signals(ticker, date DESC);")
 
+        # 실시간 매매 알람: watchlist / alert_state / alert_history
+        conn.execute("""
+            CREATE TABLE IF NOT EXISTS watchlist (
+                ticker      TEXT PRIMARY KEY,
+                name        TEXT,
+                note        TEXT,
+                params_json TEXT NOT NULL DEFAULT '{}',
+                added_at    TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%fZ','now'))
+            )
+        """)
+        conn.execute("""
+            CREATE TABLE IF NOT EXISTS trade_alert_state (
+                ticker           TEXT NOT NULL,
+                kind             TEXT NOT NULL,
+                condition        TEXT NOT NULL,
+                currently_firing INTEGER NOT NULL DEFAULT 0,
+                first_fired_at   TEXT,
+                last_fired_at    TEXT,
+                last_seen_at     TEXT,
+                PRIMARY KEY (ticker, kind, condition)
+            )
+        """)
+        conn.execute("""
+            CREATE TABLE IF NOT EXISTS trade_alert_history (
+                id          INTEGER PRIMARY KEY AUTOINCREMENT,
+                ticker      TEXT NOT NULL,
+                name        TEXT,
+                kind        TEXT NOT NULL,
+                condition   TEXT NOT NULL,
+                price       REAL,
+                detail_json TEXT,
+                fired_at    TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%fZ','now'))
+            )
+        """)
+        conn.execute("CREATE INDEX IF NOT EXISTS idx_tah_fired ON trade_alert_history(fired_at DESC)")
+
         # Screener 스키마 부트스트랩 (7테이블 + 디폴트 설정 시드)
         ensure_screener_schema(conn)
 
@@ -379,3 +416,105 @@ def get_holdings_signal_history(ticker: str, limit: int = 30) -> list:
             "SELECT * FROM holdings_signals WHERE ticker=? ORDER BY date DESC LIMIT ?",
             (ticker, limit)).fetchall()
     return [_row_to_signal(r) for r in rows]
+
+
+# --- 실시간 매매 알람: 공통 유틸 ---
+
+def _now_iso() -> str:
+    return dt.datetime.utcnow().strftime("%Y-%m-%dT%H:%M:%fZ")
+
+
+# --- Watchlist CRUD ---
+
+def add_watchlist(ticker: str, name: str = None, note: str = None) -> None:
+    with _conn() as conn:
+        conn.execute(
+            "INSERT OR IGNORE INTO watchlist(ticker,name,note) VALUES(?,?,?)",
+            (ticker, name, note),
+        )
+        # 이름/노트 갱신(이미 있으면)
+        conn.execute(
+            "UPDATE watchlist SET name=COALESCE(?,name), note=COALESCE(?,note) WHERE ticker=?",
+            (name, note, ticker),
+        )
+
+
+def remove_watchlist(ticker: str) -> bool:
+    with _conn() as conn:
+        cur = conn.execute("DELETE FROM watchlist WHERE ticker=?", (ticker,))
+        return cur.rowcount > 0
+
+
+def get_watchlist() -> list:
+    with _conn() as conn:
+        rows = conn.execute("SELECT * FROM watchlist ORDER BY added_at").fetchall()
+    return [
+        {"ticker": r["ticker"], "name": r["name"], "note": r["note"],
+         "params": json.loads(r["params_json"] or "{}"), "added_at": r["added_at"]}
+        for r in rows
+    ]
+
+
+# --- Trade Alert State ---
+
+def get_alert_state_firing() -> set:
+    with _conn() as conn:
+        rows = conn.execute(
+            "SELECT ticker,kind,condition FROM trade_alert_state WHERE currently_firing=1"
+        ).fetchall()
+    return {(r["ticker"], r["kind"], r["condition"]) for r in rows}
+
+
+def set_alert_firing(ticker: str, kind: str, condition: str, firing: bool, at_iso: str = None) -> None:
+    now = at_iso or _now_iso()
+    with _conn() as conn:
+        if firing:
+            conn.execute(
+                """INSERT INTO trade_alert_state(ticker,kind,condition,currently_firing,first_fired_at,last_fired_at,last_seen_at)
+                   VALUES(?,?,?,1,?,?,?)
+                   ON CONFLICT(ticker,kind,condition) DO UPDATE SET
+                     currently_firing=1,
+                     first_fired_at=COALESCE(first_fired_at,excluded.first_fired_at),
+                     last_fired_at=excluded.last_fired_at,
+                     last_seen_at=excluded.last_seen_at""",
+                (ticker, kind, condition, now, now, now),
+            )
+        else:
+            conn.execute(
+                "UPDATE trade_alert_state SET currently_firing=0, last_seen_at=? WHERE ticker=? AND kind=? AND condition=?",
+                (now, ticker, kind, condition),
+            )
+
+
+def touch_alert_seen(keys: list, at_iso: str) -> None:
+    with _conn() as conn:
+        for (ticker, kind, condition) in keys:
+            conn.execute(
+                "UPDATE trade_alert_state SET last_seen_at=? WHERE ticker=? AND kind=? AND condition=?",
+                (at_iso, ticker, kind, condition),
+            )
+
+
+# --- Trade Alert History ---
+
+def add_alert_history(ticker: str, name: str, kind: str, condition: str, price, detail: dict) -> int:
+    with _conn() as conn:
+        cur = conn.execute(
+            "INSERT INTO trade_alert_history(ticker,name,kind,condition,price,detail_json) VALUES(?,?,?,?,?,?)",
+            (ticker, name, kind, condition, price, json.dumps(detail or {}, ensure_ascii=False)),
+        )
+        return cur.lastrowid
+
+
+def get_alert_history(days: int = 7) -> list:
+    with _conn() as conn:
+        rows = conn.execute(
+            "SELECT * FROM trade_alert_history WHERE fired_at >= strftime('%Y-%m-%dT%H:%M:%fZ','now', ?) ORDER BY fired_at DESC",
+            (f"-{int(days)} days",),
+        ).fetchall()
+    return [
+        {"id": r["id"], "ticker": r["ticker"], "name": r["name"], "kind": r["kind"],
+         "condition": r["condition"], "price": r["price"],
+         "detail": json.loads(r["detail_json"] or "{}"), "fired_at": r["fired_at"]}
+        for r in rows
+    ]

stock/app/main.py

@@ -21,6 +21,8 @@ from .db import (
     upsert_broker_cash, get_all_broker_cash, delete_broker_cash,
     upsert_asset_snapshot, get_asset_snapshots,
     add_sell_history, get_sell_history, update_sell_history, delete_sell_history,
+    add_watchlist, remove_watchlist, get_watchlist, get_alert_history,
+    get_alert_state_firing, set_alert_firing, touch_alert_seen, add_alert_history,
 )
 from .scraper import fetch_market_news, fetch_major_indices
 from .price_fetcher import get_current_prices, get_current_prices_detail
@@ -28,6 +30,10 @@ from .ai_summarizer import summarize_news, OllamaError
 from .auth import verify_webai_key
 from . import webai_cache
 from . import holdings_intel
+from . import trade_alerts
+from .trade_alerts import (
+    build_monitor_set, current_session, diff_firing, DEFAULT_EXIT_PARAMS, DEFAULT_BUY_PARAMS,
+)
 
 app = FastAPI()
 install_access_log(app)
@@ -506,6 +512,63 @@ def get_webai_news_sentiment(date: str | None = None):
     return result
 
 
+@app.get("/api/webai/trade-alert/monitor-set", dependencies=[Depends(verify_webai_key)])
+def get_trade_alert_monitor_set():
+    """web-ai(Windows 워커) 전용 — 실시간 매매 알람 감시대상 조립 (계약 §5.1).
+
+    session은 KST 시각으로 pre/regular/after 판정 후, 평일·휴장 여부(is_market_open)를
+    함께 게이팅해 최종 closed 여부를 결정한다.
+    """
+    from datetime import datetime, timezone, timedelta
+    kst = timezone(timedelta(hours=9))
+    now_kst = datetime.now(kst)
+    session = current_session(now_kst)
+    if not is_market_open(now_kst.date()):
+        session = "closed"
+
+    from .db import _conn
+    conn = _conn()
+    try:
+        return build_monitor_set(conn, session, DEFAULT_EXIT_PARAMS, DEFAULT_BUY_PARAMS)
+    finally:
+        conn.close()
+
+
+class TradeAlertReport(BaseModel):
+    as_of: str | None = None
+    firing: list[dict] = []
+
+
+@app.post("/api/webai/trade-alert/report", dependencies=[Depends(verify_webai_key)])
+def post_trade_alert_report(req: TradeAlertReport):
+    """web-ai(Windows 워커) 전용 — 발화 보고 수신 (계약 §5.2).
+
+    직전 발화상태 대비 edge diff(diff_firing) 후, 신규 alert는
+    agent-office 전송 성공 시에만 상태(firing=True)+이력 반영한다.
+    전송 실패 시 상태를 채택하지 않아 다음 사이클에 동일 alert가 다시
+    "신규"로 잡혀 재시도된다(멱등). 해제(cleared)는 전송과 무관하게 firing=False.
+    """
+    prev = get_alert_state_firing()
+    d = diff_firing(req.firing, prev)
+
+    new_count = 0
+    for a in d["new"]:
+        if trade_alerts.notify_agent_office([a]):
+            set_alert_firing(a["ticker"], a["kind"], a["condition"], firing=True, at_iso=req.as_of)
+            add_alert_history(
+                a["ticker"], a.get("name"), a["kind"], a["condition"],
+                a.get("price"), a.get("detail") or {},
+            )
+            new_count += 1
+
+    for ticker, kind, condition in d["cleared"]:
+        set_alert_firing(ticker, kind, condition, firing=False)
+
+    touch_alert_seen(d["seen"], req.as_of or "")
+
+    return {"new_alerts": new_count, "cleared": len(d["cleared"])}
+
+
 @app.post("/api/portfolio", status_code=201)
 def create_portfolio_item(req: PortfolioItemRequest):
     """포트폴리오 종목 추가"""
@@ -653,6 +716,41 @@ def remove_sell_history(record_id: int):
     return {"ok": True}
 
 
+# --- Watchlist & Trade Alerts API (실시간 매매 알람) ---
+
+class WatchlistItemRequest(BaseModel):
+    ticker: str
+    name: str | None = None
+    note: str | None = None
+
+
+@app.get("/api/stock/watchlist")
+def list_watchlist():
+    """관심종목 목록 조회"""
+    return {"watchlist": get_watchlist()}
+
+
+@app.post("/api/stock/watchlist", status_code=201)
+def create_watchlist_item(req: WatchlistItemRequest):
+    """관심종목 추가 (이미 존재하면 name/note 갱신, 멱등)"""
+    add_watchlist(req.ticker, req.name, req.note)
+    return {"ok": True}
+
+
+@app.delete("/api/stock/watchlist/{ticker}")
+def delete_watchlist_item(ticker: str):
+    """관심종목 삭제"""
+    if not remove_watchlist(ticker):
+        raise HTTPException(status_code=404, detail="not in watchlist")
+    return {"ok": True}
+
+
+@app.get("/api/stock/trade-alerts")
+def list_trade_alerts(days: int = 7):
+    """매매 알람 이력 조회 (최근 N일)"""
+    return {"alerts": get_alert_history(days)}
+
+
 # --- Holdings Intelligence API ---
 
 @app.get("/api/stock/holdings/intel")

stock/app/screener/ai_news/analyzer.py

@@ -2,6 +2,7 @@
 
 from __future__ import annotations
 
+import datetime as dt
 import json
 import logging
 import os
@@ -59,13 +60,19 @@ async def score_sentiment(
     *,
     name: str | None = None,
     model: str = DEFAULT_MODEL,
+    asof: dt.date | None = None,
 ) -> Dict[str, Any]:
-    """Returns {ticker, score_raw, reason, news_count, tokens_input, tokens_output, model}."""
+    """Returns {ticker, score_raw, reason, news_count, tokens_input, tokens_output, model}.
+
+    asof(현재 KST 일자)를 주면 prompt 맨 앞에 오늘 날짜를 명시해 LLM이 현재 시점 기준으로 판단한다.
+    """
     news_block = _format_news_block(news)
     prompt = PROMPT_TEMPLATE.format(
         name=name or ticker, ticker=ticker,
         n=len(news), news_block=news_block,
     )
+    if asof is not None:
+        prompt = f"오늘 날짜: {asof.isoformat()} (이 시점 기준으로 뉴스를 평가하세요)\n\n" + prompt
     resp = await llm.messages.create(
         model=model,
         max_tokens=200,

stock/app/screener/ai_news/pipeline.py

@@ -39,11 +39,11 @@ def _make_llm():
 
 async def _process_one(
     ticker: str, name: str, articles: List[Dict[str, Any]],
-    sem: asyncio.Semaphore, llm, model: str,
+    sem: asyncio.Semaphore, llm, model: str, asof: dt.date,
 ) -> Dict[str, Any]:
     async with sem:
         return await _analyzer.score_sentiment(
-            llm, ticker, articles, name=name, model=model,
+            llm, ticker, articles, name=name, model=model, asof=asof,
         )
 
 
@@ -110,7 +110,7 @@ async def refresh_daily(
             arts = articles_by_ticker.get(t, [])
             if not arts:
                 continue  # 매핑 0 — score 미생성
-            tasks.append(_process_one(t, name_map.get(t, t), arts, sem, llm, model))
+            tasks.append(_process_one(t, name_map.get(t, t), arts, sem, llm, model, asof))
         raw_results = await asyncio.gather(*tasks, return_exceptions=True)
 
     successes: List[Dict[str, Any]] = []

stock/app/screener/router.py

@@ -125,6 +125,16 @@ from . import telegram as _tg
 from .engine import Screener, ScreenContext
 
 
+def _today_kst() -> dt.date:
+    """KST 오늘 날짜.
+
+    stock 컨테이너는 python:3.12-alpine + tzdata 미설치라 TZ=Asia/Seoul이 무효 →
+    date.today()가 UTC를 반환한다. 08시대(KST) 리포트가 하루 밀리는 것을 막기 위해
+    UTC+9로 명시 보정한다(holdings_intel._today_kst와 동일한 관용).
+    """
+    return (dt.datetime.utcnow() + dt.timedelta(hours=9)).date()
+
+
 def _resolve_asof(asof_str, conn: sqlite3.Connection) -> dt.date:
     if asof_str:
         return dt.date.fromisoformat(asof_str)
@@ -263,7 +273,7 @@ from . import snapshot as _snap
 
 @router.post("/snapshot/refresh")
 def post_snapshot_refresh(asof: Optional[str] = None):
-    asof_date = dt.date.fromisoformat(asof) if asof else dt.date.today()
+    asof_date = dt.date.fromisoformat(asof) if asof else _today_kst()
     if asof_date.weekday() >= 5:
         return {"asof": asof_date.isoformat(), "status": "skipped_weekend"}
     with _conn() as c:
@@ -300,7 +310,7 @@ from .ai_news import validation as _ai_validation
 
 @router.post("/snapshot/refresh-news-sentiment")
 async def post_refresh_news_sentiment(asof: Optional[str] = None):
-    asof_date = dt.date.fromisoformat(asof) if asof else dt.date.today()
+    asof_date = dt.date.fromisoformat(asof) if asof else _today_kst()
     if asof_date.weekday() >= 5:
         return {"asof": asof_date.isoformat(), "status": "skipped_weekend"}
     if _is_holiday(asof_date):

stock/app/trade_alerts.py

@@ -0,0 +1,137 @@
+"""매매 알람 — 감시대상(monitor-set) 조립. 순수 조립 로직(HTTP/텔레그램 없음).
+
+계약 §5.1 (docs/superpowers/specs/2026-07-02-realtime-trade-alerts-design.md) —
+Windows 워커가 GET /api/webai/trade-alert/monitor-set 로 받는 응답을 조립한다.
+NAS는 watchlist ∪ screener 최신 성공 run 후보를 buy_targets로, 보유 종목을
+sell_targets로 병합해 넘긴다. TA/조건판정은 워커 쪽 책임.
+"""
+import os
+import httpx
+
+from datetime import datetime, timedelta, timezone, time as _time
+from typing import Optional
+
+from app.db import get_all_portfolio, get_watchlist
+
+_KST = timezone(timedelta(hours=9))
+
+# KST 세션 창(시:분) — 평일+휴장 판정은 호출부에서 is_market_open으로 별도 게이팅
+_SESSIONS = [
+    ("pre",     (8, 30), (9, 0)),
+    ("regular", (9, 0),  (15, 30)),
+    ("after",   (16, 0), (18, 0)),
+]
+
+
+def current_session(now_kst) -> str:
+    """now_kst의 time만으로 pre/regular/after/closed 세션 판정 (요일·휴장 무관)."""
+    t = now_kst.time()
+    for name, (sh, sm), (eh, em) in _SESSIONS:
+        if _time(sh, sm) <= t < _time(eh, em):
+            return name
+    return "closed"
+
+
+DEFAULT_EXIT_PARAMS = {"stop_pct": 0.08, "take_pct": 0.25, "trailing_pct": 0.10}
+DEFAULT_BUY_PARAMS = {"rsi_oversold": 30, "breakout_vol_mult": 1.5, "pullback_pct": 0.02}
+
+
+def latest_screener_candidates(conn) -> list:
+    """최신 성공(status='success') screener run의 후보 {ticker,name} 목록."""
+    row = conn.execute(
+        "SELECT id FROM screener_runs WHERE status='success' ORDER BY asof DESC, id DESC LIMIT 1"
+    ).fetchone()
+    if not row:
+        return []
+    run_id = row[0]
+    rows = conn.execute(
+        "SELECT ticker, name FROM screener_results WHERE run_id=? ORDER BY rank", (run_id,)
+    ).fetchall()
+    return [{"ticker": r[0], "name": r[1]} for r in rows]
+
+
+def holding_high(conn, ticker: str, lookback_days: int = 60) -> Optional[float]:
+    """보유기간 고점(트레일링 스톱용) — krx_daily_prices 최근 lookback_days 최고 high."""
+    row = conn.execute(
+        "SELECT MAX(high) FROM krx_daily_prices WHERE ticker=? "
+        "AND date >= date('now', ?)",
+        (ticker, f"-{int(lookback_days)} days"),
+    ).fetchone()
+    return row[0] if row and row[0] is not None else None
+
+
+def build_monitor_set(conn, session: str, exit_params: dict, buy_params: dict) -> dict:
+    """계약 §5.1 monitor-set 응답 dict 조립.
+
+    buy_targets  = watchlist ∪ 최신 screener 후보 (ticker 기준 중복 제거, watchlist 우선)
+    sell_targets = 보유 종목(portfolio) + avg_price/qty/holding_high
+    """
+    buy: dict[str, dict] = {}
+    for w in get_watchlist():
+        buy[w["ticker"]] = {
+            "ticker": w["ticker"], "name": w["name"],
+            "source": "watch", "params": w.get("params") or {},
+        }
+    for c in latest_screener_candidates(conn):
+        if c["ticker"] not in buy:
+            buy[c["ticker"]] = {
+                "ticker": c["ticker"], "name": c["name"],
+                "source": "screener", "params": {},
+            }
+
+    sell_targets = []
+    for p in get_all_portfolio():
+        ticker = p["ticker"]
+        sell_targets.append({
+            "ticker": ticker,
+            "name": p.get("name"),
+            "avg_price": p.get("avg_price"),
+            "qty": p.get("quantity"),
+            "holding_high": holding_high(conn, ticker),
+            "params": {},
+        })
+
+    return {
+        "session": session,
+        "as_of": datetime.now(_KST).isoformat(),
+        "buy_targets": list(buy.values()),
+        "sell_targets": sell_targets,
+        "buy_params": buy_params,
+        "exit_params": exit_params,
+    }
+
+
+def diff_firing(reported: list, prev: set) -> dict:
+    """워커 발화집합(reported) vs 직전 발화상태(prev) edge diff.
+
+    reported 각 항목: {ticker,kind,condition,price,detail,name?}.
+    key = (ticker,kind,condition).
+    반환 {"new":[신규 alert...], "cleared":[해제 key...], "seen":[현재 key...]}.
+    """
+    cur = {}
+    for a in reported:
+        key = (a["ticker"], a["kind"], a["condition"])
+        cur[key] = a
+    cur_keys = set(cur.keys())
+    new_keys = cur_keys - prev
+    cleared = sorted(prev - cur_keys)
+    return {
+        "new": [cur[k] for k in cur_keys if k in new_keys],
+        "cleared": cleared,
+        "seen": sorted(cur_keys),
+    }
+
+
+def notify_agent_office(alerts: list) -> bool:
+    """신규 alert들을 agent-office로 push (계약 §5.2). 전송 성공 시 True.
+
+    실패(네트워크 오류/비-200)는 False — 호출부가 상태/이력 미채택 후 다음
+    사이클에 동일 alert를 재시도하도록 한다(멱등, at-least-once).
+    """
+    url = os.getenv("AGENT_OFFICE_URL", "http://agent-office:8000") + "/api/agent-office/stock/trade-alert"
+    try:
+        with httpx.Client(timeout=10) as c:
+            resp = c.post(url, json={"alerts": alerts})
+        return resp.status_code == 200
+    except httpx.HTTPError:
+        return False

stock/tests/test_ai_news_analyzer.py

@@ -58,6 +58,18 @@ async def test_score_sentiment_clamps_negative_out_of_range():
     assert out["score_raw"] == -10.0
 
 
+@pytest.mark.asyncio
+async def test_score_sentiment_includes_asof_date_in_prompt():
+    """asof(현재 KST 일자)를 넘기면 prompt에 오늘 날짜가 포함되어 LLM이 현재 일자 기준으로 판단."""
+    import datetime as _dt
+    llm = _mk_llm(json.dumps({"score": 5.0, "reason": "ok"}))
+    await analyzer.score_sentiment(
+        llm, "005930", NEWS, name="삼성전자", asof=_dt.date(2026, 7, 2),
+    )
+    user_msg = llm.messages.create.call_args.kwargs["messages"][0]["content"]
+    assert "2026-07-02" in user_msg
+
+
 @pytest.mark.asyncio
 async def test_score_sentiment_includes_summary_in_prompt():
     """summary 가 있으면 prompt 에 포함, 없으면 title 만."""

stock/tests/test_ai_news_pipeline.py

@@ -39,7 +39,7 @@ async def test_refresh_daily_happy_path(conn):
     scores_by_ticker = {
         "005930": 7.5, "000660": 4.0, "373220": -6.0,
     }
-    async def fake_score(llm, ticker, news, *, name=None, model="m"):
+    async def fake_score(llm, ticker, news, *, name=None, model="m", asof=None):
         return {
             "ticker": ticker, "score_raw": scores_by_ticker[ticker],
             "reason": f"r{ticker}", "news_count": 1,
@@ -81,7 +81,7 @@ async def test_refresh_daily_failures_isolated(conn):
     }
     fake_stats = {"total_articles": 3, "matched_pairs": 3, "hit_tickers": 3}
 
-    async def fake_score(llm, ticker, news, *, name=None, model="m"):
+    async def fake_score(llm, ticker, news, *, name=None, model="m", asof=None):
         if ticker == "000660":
             raise RuntimeError("llm exploded")
         return {
@@ -116,7 +116,7 @@ async def test_refresh_daily_no_match_ticker_skipped(conn):
     }
     fake_stats = {"total_articles": 1, "matched_pairs": 1, "hit_tickers": 1}
 
-    async def fake_score(llm, ticker, news, *, name=None, model="m"):
+    async def fake_score(llm, ticker, news, *, name=None, model="m", asof=None):
         return {
             "ticker": ticker, "score_raw": 5.0, "reason": "r",
             "news_count": 1, "tokens_input": 100, "tokens_output": 20,
@@ -152,7 +152,7 @@ async def test_refresh_daily_sign_gate_no_positive_in_neg(conn):
     fake_stats = {"total_articles": 3, "matched_pairs": 3, "hit_tickers": 3}
     scores = {"005930": 6.0, "000660": 2.0, "373220": 0.5}  # 모두 양수
 
-    async def fake_score(llm, ticker, news, *, name=None, model="m"):
+    async def fake_score(llm, ticker, news, *, name=None, model="m", asof=None):
         return {
             "ticker": ticker, "score_raw": scores[ticker], "reason": "r",
             "news_count": 1, "tokens_input": 1, "tokens_output": 1, "model": model,
@@ -183,7 +183,7 @@ async def test_refresh_daily_sign_gate_excludes_neutral(conn):
     fake_stats = {"total_articles": 3, "matched_pairs": 3, "hit_tickers": 3}
     scores = {"005930": 3.0, "000660": 0.0, "373220": -3.0}
 
-    async def fake_score(llm, ticker, news, *, name=None, model="m"):
+    async def fake_score(llm, ticker, news, *, name=None, model="m", asof=None):
         return {
             "ticker": ticker, "score_raw": scores[ticker], "reason": "r",
             "news_count": 1, "tokens_input": 1, "tokens_output": 1, "model": model,

stock/tests/test_ai_news_router.py

@@ -5,6 +5,21 @@ from fastapi.testclient import TestClient
 from app.main import app
 
 
+def test_today_kst_uses_kst_offset_not_utc(monkeypatch):
+    """컨테이너가 UTC(Alpine, tzdata 미설치)라 date.today()는 08시 KST에 어제를 준다.
+    _today_kst()는 UTC+9로 보정해 오늘(KST)을 반환해야 한다."""
+    from app.screener import router
+
+    class _FrozenDT(dt.datetime):
+        @classmethod
+        def utcnow(cls):
+            # 2026-07-01 23:30 UTC == 2026-07-02 08:30 KST (AI 뉴스 리포트 시각대)
+            return dt.datetime(2026, 7, 1, 23, 30, 0)
+
+    monkeypatch.setattr(router.dt, "datetime", _FrozenDT)
+    assert router._today_kst() == dt.date(2026, 7, 2)
+
+
 def test_refresh_news_sentiment_weekend_skip():
     # 2026-05-16 = Saturday
     client = TestClient(app)

stock/tests/test_trade_alerts_db.py

@@ -0,0 +1,48 @@
+import os, sqlite3, tempfile, datetime as dt
+import pytest
+
+@pytest.fixture
+def db(monkeypatch, tmp_path):
+    from app import db as _db
+    monkeypatch.setattr(_db, "DB_PATH", str(tmp_path / "stock.db"))
+    _db.init_db()
+    return _db
+
+def test_watchlist_add_get_remove(db):
+    db.add_watchlist("005930", "삼성전자", note="관심")
+    db.add_watchlist("005930", "삼성전자")  # 멱등
+    wl = db.get_watchlist()
+    assert [w["ticker"] for w in wl] == ["005930"]
+    assert wl[0]["name"] == "삼성전자"
+    assert db.remove_watchlist("005930") is True
+    assert db.get_watchlist() == []
+
+def test_alert_state_edge_firing_and_clear(db):
+    key = ("005930", "buy", "buy_breakout")
+    assert db.get_alert_state_firing() == set()
+    db.set_alert_firing(*key, firing=True, at_iso="2026-07-02T00:01:00Z")
+    assert key in db.get_alert_state_firing()
+    db.set_alert_firing(*key, firing=False)
+    assert key not in db.get_alert_state_firing()
+
+def test_alert_history_records_and_reads(db):
+    db.add_alert_history("005930", "삼성전자", "buy", "buy_breakout", 71500, {"vol": 2.1})
+    rows = db.get_alert_history(days=7)
+    assert len(rows) == 1
+    assert rows[0]["ticker"] == "005930" and rows[0]["kind"] == "buy"
+    assert rows[0]["detail"]["vol"] == 2.1
+
+def test_alert_history_days_filter_format_consistency(db):
+    """fired_at은 ISO(T/Z)로 저장 — 필터도 ISO여야 경계일 비교가 정확.
+    7일 경계 밖(정확히 7일 전 자정) 레코드는 제외되어야 한다. 포맷 불일치면 잘못 포함됨."""
+    db.add_alert_history("005930", "삼성", "buy", "buy_breakout", 71500, {})  # now
+    conn = sqlite3.connect(db.DB_PATH)
+    conn.execute(
+        "INSERT INTO trade_alert_history(ticker,name,kind,condition,price,detail_json,fired_at) "
+        "VALUES('000660','SK','sell','sell_stop_loss',60000,'{}', "
+        "strftime('%Y-%m-%dT%H:%M:%fZ','now','-7 days','start of day'))"
+    )
+    conn.commit(); conn.close()
+    tickers = [r["ticker"] for r in db.get_alert_history(days=7)]
+    assert "005930" in tickers
+    assert "000660" not in tickers

stock/tests/test_trade_alerts_edge.py

@@ -0,0 +1,18 @@
+def test_diff_new_and_cleared_and_rearm():
+    from app.trade_alerts import diff_firing
+    reported = [{"ticker": "005930", "kind": "buy", "condition": "buy_breakout",
+                 "price": 71500, "detail": {}}]
+    # 최초: prev 비어있음 → 신규
+    d1 = diff_firing(reported, prev=set())
+    assert [a["condition"] for a in d1["new"]] == ["buy_breakout"]
+    assert d1["cleared"] == []
+    # 유지: prev에 이미 있음 → 신규 없음
+    prev = {("005930", "buy", "buy_breakout")}
+    d2 = diff_firing(reported, prev=prev)
+    assert d2["new"] == []
+    # 해제: reported 비었고 prev에 있음 → cleared
+    d3 = diff_firing([], prev=prev)
+    assert d3["cleared"] == [("005930", "buy", "buy_breakout")]
+    # 재무장 후 재발화: prev 다시 비면 신규
+    d4 = diff_firing(reported, prev=set())
+    assert len(d4["new"]) == 1

stock/tests/test_trade_alerts_monitorset.py

@@ -0,0 +1,101 @@
+import sqlite3
+import pytest
+
+
+@pytest.fixture
+def conn(monkeypatch, tmp_path):
+    from app import db as _db
+    monkeypatch.setattr(_db, "DB_PATH", str(tmp_path / "stock.db"))
+    _db.init_db()
+    c = sqlite3.connect(_db.DB_PATH)
+    c.row_factory = sqlite3.Row
+    # 보유 1종목 (add_portfolio_item 실제 시그니처: broker/ticker/name/quantity/avg_price — market 파라미터 없음)
+    _db.add_portfolio_item(ticker="000660", name="SK하이닉스", quantity=10,
+                            avg_price=180000, broker="kis")
+    # watchlist 1종목
+    _db.add_watchlist("005930", "삼성전자")
+    yield c
+    c.close()
+
+
+def test_build_monitor_set_merges_sources(conn):
+    from app import trade_alerts as ta
+    ms = ta.build_monitor_set(conn, session="regular",
+                               exit_params={"stop_pct": 0.08}, buy_params={"rsi_oversold": 30})
+    buy_tickers = {t["ticker"] for t in ms["buy_targets"]}
+    sell_tickers = {t["ticker"] for t in ms["sell_targets"]}
+    assert "005930" in buy_tickers            # watchlist
+    assert "000660" in sell_tickers           # 보유
+    assert ms["session"] == "regular"
+    assert ms["exit_params"]["stop_pct"] == 0.08
+    sell = next(t for t in ms["sell_targets"] if t["ticker"] == "000660")
+    assert sell["avg_price"] == 180000 and sell["qty"] == 10
+
+
+def test_latest_screener_candidates_empty_when_no_run(conn):
+    from app import trade_alerts as ta
+    assert ta.latest_screener_candidates(conn) == []
+
+
+def test_latest_screener_candidates_picks_latest_success_run(conn):
+    from app import trade_alerts as ta
+    now = "2026-07-02T09:00:00Z"
+    conn.execute(
+        "INSERT INTO screener_runs (asof, mode, status, started_at, weights_json, "
+        "node_params_json, gate_params_json, top_n) VALUES (?,?,?,?,?,?,?,?)",
+        (now, "manual", "failed", now, "{}", "{}", "{}", 20),
+    )
+    conn.execute(
+        "INSERT INTO screener_runs (asof, mode, status, started_at, weights_json, "
+        "node_params_json, gate_params_json, top_n) VALUES (?,?,?,?,?,?,?,?)",
+        (now, "manual", "success", now, "{}", "{}", "{}", 20),
+    )
+    run_id = conn.execute("SELECT id FROM screener_runs WHERE status='success'").fetchone()[0]
+    conn.execute(
+        "INSERT INTO screener_results (run_id, rank, ticker, name, total_score, scores_json) "
+        "VALUES (?,?,?,?,?,?)",
+        (run_id, 1, "035720", "카카오", 88.5, "{}"),
+    )
+    conn.commit()
+    candidates = ta.latest_screener_candidates(conn)
+    assert candidates == [{"ticker": "035720", "name": "카카오"}]
+
+
+def test_holding_high_returns_max_high_within_lookback(conn):
+    from app import trade_alerts as ta
+    conn.execute(
+        "INSERT INTO krx_daily_prices (ticker, date, high) VALUES (?,?,?)",
+        ("000660", "2026-06-01", 200000),
+    )
+    conn.execute(
+        "INSERT INTO krx_daily_prices (ticker, date, high) VALUES (?,?,?)",
+        ("000660", "2026-06-20", 210000),
+    )
+    conn.commit()
+    assert ta.holding_high(conn, "000660", lookback_days=60) == 210000
+
+
+def test_holding_high_none_when_no_price_history(conn):
+    from app import trade_alerts as ta
+    assert ta.holding_high(conn, "999999") is None
+
+
+def test_build_monitor_set_dedupes_watchlist_and_screener_overlap(conn):
+    from app import trade_alerts as ta
+    now = "2026-07-02T09:00:00Z"
+    cur = conn.execute(
+        "INSERT INTO screener_runs (asof, mode, status, started_at, weights_json, "
+        "node_params_json, gate_params_json, top_n) VALUES (?,?,?,?,?,?,?,?)",
+        (now, "manual", "success", now, "{}", "{}", "{}", 20),
+    )
+    run_id = cur.lastrowid
+    # 스크리너 후보가 watchlist와 중복(005930)
+    conn.execute(
+        "INSERT INTO screener_results (run_id, rank, ticker, name, total_score, scores_json) "
+        "VALUES (?,?,?,?,?,?)",
+        (run_id, 1, "005930", "삼성전자", 90.0, "{}"),
+    )
+    conn.commit()
+    ms = ta.build_monitor_set(conn, session="regular", exit_params={}, buy_params={})
+    buy_tickers = [t["ticker"] for t in ms["buy_targets"]]
+    assert buy_tickers.count("005930") == 1

stock/tests/test_trade_alerts_monitorset_api.py

@@ -0,0 +1,35 @@
+import datetime as dt
+import pytest
+from fastapi.testclient import TestClient
+
+
+def test_current_session_windows():
+    from app.trade_alerts import current_session
+    d = dt.date(2026, 7, 2)
+    assert current_session(dt.datetime.combine(d, dt.time(8, 40))) == "pre"
+    assert current_session(dt.datetime.combine(d, dt.time(10, 0))) == "regular"
+    assert current_session(dt.datetime.combine(d, dt.time(17, 0))) == "after"
+    assert current_session(dt.datetime.combine(d, dt.time(20, 0))) == "closed"
+
+
+@pytest.fixture
+def client(monkeypatch, tmp_path):
+    from app import db as _db
+    monkeypatch.setattr(_db, "DB_PATH", str(tmp_path / "stock.db"))
+    _db.init_db()
+    monkeypatch.setenv("WEBAI_API_KEY", "k")
+    from app.main import app
+    return TestClient(app)
+
+
+def test_monitor_set_requires_auth(client):
+    assert client.get("/api/webai/trade-alert/monitor-set").status_code == 401
+
+
+def test_monitor_set_ok(client):
+    r = client.get("/api/webai/trade-alert/monitor-set", headers={"X-WebAI-Key": "k"})
+    assert r.status_code == 200
+    body = r.json()
+    assert body["session"] in ("pre", "regular", "after", "closed")
+    assert "buy_targets" in body and "sell_targets" in body
+    assert body["exit_params"]["trailing_pct"] == 0.10

stock/tests/test_trade_alerts_report_api.py

@@ -0,0 +1,56 @@
+import pytest
+from unittest.mock import patch
+from fastapi.testclient import TestClient
+
+
+@pytest.fixture
+def client(monkeypatch, tmp_path):
+    from app import db as _db
+    monkeypatch.setattr(_db, "DB_PATH", str(tmp_path / "stock.db"))
+    _db.init_db()
+    monkeypatch.setenv("WEBAI_API_KEY", "k")
+    from app.main import app
+    return TestClient(app)
+
+
+def _report(client, firing):
+    return client.post("/api/webai/trade-alert/report",
+                       headers={"X-WebAI-Key": "k"},
+                       json={"as_of": "2026-07-02T09:01:00+09:00", "firing": firing})
+
+
+def test_report_new_edge_sends_and_persists(client):
+    firing = [{"ticker": "005930", "name": "삼성전자", "kind": "buy",
+               "condition": "buy_breakout", "price": 71500, "detail": {"vol": 2.0}}]
+    with patch("app.trade_alerts.notify_agent_office", return_value=True) as m:
+        r1 = _report(client, firing)
+    assert r1.json()["new_alerts"] == 1
+    assert m.called
+    # 2번째 동일 firing → 유지, 신규 0
+    with patch("app.trade_alerts.notify_agent_office", return_value=True):
+        r2 = _report(client, firing)
+    assert r2.json()["new_alerts"] == 0
+    # 이력 1건
+    assert len(client.get("/api/stock/trade-alerts?days=1").json()["alerts"]) == 1
+
+
+def test_report_send_failure_does_not_persist(client):
+    firing = [{"ticker": "005930", "name": "삼성전자", "kind": "buy",
+               "condition": "buy_breakout", "price": 71500, "detail": {}}]
+    with patch("app.trade_alerts.notify_agent_office", return_value=False):
+        r = _report(client, firing)
+    assert r.json()["new_alerts"] == 0            # 전송 실패 → 미채택
+    # 다음 사이클(전송 성공) 재시도되어 알림
+    with patch("app.trade_alerts.notify_agent_office", return_value=True):
+        r2 = _report(client, firing)
+    assert r2.json()["new_alerts"] == 1
+
+
+def test_report_cleared_rearm(client):
+    firing = [{"ticker": "005930", "name": "삼성", "kind": "buy",
+               "condition": "buy_breakout", "price": 71500, "detail": {}}]
+    with patch("app.trade_alerts.notify_agent_office", return_value=True):
+        _report(client, firing)
+        _report(client, [])                        # 해제
+        r = _report(client, firing)                # 재발화
+    assert r.json()["new_alerts"] == 1

stock/tests/test_watchlist_api.py

@@ -0,0 +1,22 @@
+import pytest
+from fastapi.testclient import TestClient
+
+@pytest.fixture
+def client(monkeypatch, tmp_path):
+    from app import db as _db
+    monkeypatch.setattr(_db, "DB_PATH", str(tmp_path / "stock.db"))
+    _db.init_db()
+    from app.main import app
+    return TestClient(app)
+
+def test_watchlist_crud(client):
+    assert client.get("/api/stock/watchlist").json()["watchlist"] == []
+    r = client.post("/api/stock/watchlist", json={"ticker": "005930", "name": "삼성전자"})
+    assert r.status_code == 201
+    wl = client.get("/api/stock/watchlist").json()["watchlist"]
+    assert wl[0]["ticker"] == "005930"
+    assert client.delete("/api/stock/watchlist/005930").status_code == 200
+    assert client.delete("/api/stock/watchlist/005930").status_code == 404
+
+def test_trade_alerts_history_empty(client):
+    assert client.get("/api/stock/trade-alerts?days=7").json()["alerts"] == []