fix(stock): AI 뉴스 리포트 하루 밀림 해소 — asof를 KST로 보정 + LLM에 현재 일자 주입

근본원인: stock 컨테이너는 python:3.12-alpine + tzdata 미설치라 TZ=Asia/Seoul이
무효 → date.today()가 UTC를 반환. AI 뉴스 리포트 cron은 08:00 KST(=전날 23:00 UTC)라
asof가 어제로 계산돼 라벨·기사 윈도우·news_sentiment 저장이 전부 하루 밀렸음
(월요일은 일요일 UTC로 계산돼 skip_weekend까지).

- screener/router.py: _today_kst()(=utcnow+9h, holdings_intel 관용) 추가.
  /snapshot/refresh · /snapshot/refresh-news-sentiment의 asof 기본값을 KST로.
- ai_news/analyzer.py: score_sentiment(asof=...) → 프롬프트 앞에 "오늘 날짜" 명시,
  LLM이 현재 일자 기준으로 뉴스 평가(사용자 요청).
- ai_news/pipeline.py: refresh_daily가 asof를 score_sentiment까지 스레딩.
- 테스트: _today_kst KST 보정 + analyzer asof 주입 2종 TDD Red→Green.
  기존 pipeline 목 시그니처에 asof 반영. stock 전체 149 passed.

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

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)