From d0c057358a6aa3484506aa32dd616ae6f31ee0d8 Mon Sep 17 00:00:00 2001
From: gahusb <bgg8988@gmail.com>
Date: Sun, 31 May 2026 22:18:58 +0900
Subject: [PATCH] =?UTF-8?q?test(stock):=20Phase=204=20=ED=9A=8C=EA=B7=80?=
 =?UTF-8?q?=20(momentum=5Floss=C2=B7=EB=A9=B1=EB=93=B1=C2=B7non-KRX=20?=
 =?UTF-8?q?=EA=B2=BD=EB=A1=9C)?=
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Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
---
 stock/app/test_holdings_intel.py | 90 ++++++++++++++++++++++++++++++++
 1 file changed, 90 insertions(+)

diff --git a/stock/app/test_holdings_intel.py b/stock/app/test_holdings_intel.py
index 84825ef..ea34580 100644
--- a/stock/app/test_holdings_intel.py
+++ b/stock/app/test_holdings_intel.py
@@ -295,3 +295,93 @@ def test_compute_and_store_and_brief(monkeypatch):
     assert brief["holdings"][0]["ticker"] == "005930"
     assert "portfolio_health" in brief
     assert brief["holdings"][0]["action"] in ("add", "hold", "trim", "sell")
+
+
+def test_compute_momentum_loss_flag(monkeypatch):
+    """직전 시그널 tech_score HIGH → 오늘 LOW → momentum_loss=True."""
+    import os, tempfile
+    from app import db
+
+    monkeypatch.setattr(db, "DB_PATH", os.path.join(tempfile.mkdtemp(), "stock.db"))
+    db.init_db()
+
+    yesterday = (dt.date.today() - dt.timedelta(days=1)).isoformat()
+    today = dt.date.today()
+    today_iso = today.isoformat()
+
+    # 어제 시그널 삽입: tech_score=90 (HIGH)
+    db.upsert_holdings_signal(
+        date=yesterday, ticker="005930", name="삼성전자",
+        action="hold", tech_score=90.0, exit_flags={}, issues=[],
+        close=1000, pnl_rate=0.0, reasons="x",
+    )
+
+    monkeypatch.setattr(hi, "get_holdings", lambda: [
+        {"ticker": "005930", "name": "삼성전자", "quantity": 10, "avg_price": 1000,
+         "current_price": 1000, "pnl_rate": 0.0, "is_krx": True}
+    ])
+    ctx = _toy_ctx(("005930",))
+    monkeypatch.setattr(hi, "_load_ctx", lambda asof: ctx)
+    monkeypatch.setattr(hi, "_news_sentiment_map", lambda date: {})
+    monkeypatch.setattr(hi.db, "get_all_broker_cash", lambda: [])
+    # tech_score=30 → 낮음 (momentum_low=35 미만, 또한 90-30=60 > momentum_drop=15)
+    monkeypatch.setattr(hi, "technical_posture", lambda ctx, tickers: {"005930": 30.0})
+
+    res = hi.compute_and_store(asof=today, use_llm=False)
+    assert res["stored"] == 1
+
+    signals = db.get_holdings_signals(today_iso)
+    assert len(signals) == 1
+    assert signals[0]["exit_flags"]["momentum_loss"] is True
+
+
+def test_compute_idempotent(monkeypatch):
+    """동일 입력으로 compute_and_store 두 번 실행 → upsert로 1건만 저장."""
+    import os, tempfile
+    from app import db
+
+    monkeypatch.setattr(db, "DB_PATH", os.path.join(tempfile.mkdtemp(), "stock.db"))
+    db.init_db()
+
+    monkeypatch.setattr(hi, "get_holdings", lambda: [
+        {"ticker": "005930", "name": "삼성전자", "quantity": 10, "avg_price": 1000,
+         "current_price": 1100, "pnl_rate": 10.0, "is_krx": True}
+    ])
+    ctx = _toy_ctx(("005930",))
+    monkeypatch.setattr(hi, "_load_ctx", lambda asof: ctx)
+    monkeypatch.setattr(hi, "_news_sentiment_map", lambda date: {})
+    monkeypatch.setattr(hi.db, "get_all_broker_cash", lambda: [])
+
+    hi.compute_and_store(asof=ctx.asof, use_llm=False)
+    hi.compute_and_store(asof=ctx.asof, use_llm=False)
+
+    signals = db.get_holdings_signals(ctx.asof.isoformat())
+    assert len(signals) == 1, f"upsert 실패: {len(signals)}건 저장됨"
+
+
+def test_compute_non_krx_holding(monkeypatch):
+    """is_krx=False 종목은 tech_score=None·action='hold'로 저장된다."""
+    import os, tempfile
+    from app import db
+
+    monkeypatch.setattr(db, "DB_PATH", os.path.join(tempfile.mkdtemp(), "stock.db"))
+    db.init_db()
+
+    monkeypatch.setattr(hi, "get_holdings", lambda: [
+        {"ticker": "AAPL", "name": "Apple", "quantity": 5, "avg_price": 200,
+         "current_price": 220, "pnl_rate": 10.0, "is_krx": False}
+    ])
+    ctx = _toy_ctx(())   # ticker 없는 빈 ctx
+    monkeypatch.setattr(hi, "_load_ctx", lambda asof: ctx)
+    monkeypatch.setattr(hi, "_news_sentiment_map", lambda date: {})
+    monkeypatch.setattr(hi.db, "get_all_broker_cash", lambda: [])
+
+    res = hi.compute_and_store(asof=ctx.asof, use_llm=False)
+    assert res["stored"] == 1
+
+    signals = db.get_holdings_signals(ctx.asof.isoformat())
+    assert len(signals) == 1
+    sig = signals[0]
+    assert sig["ticker"] == "AAPL"
+    assert sig["tech_score"] is None
+    assert sig["action"] == "hold"