feat(ai_news): include summary + pub_date in LLM prompt

stock-lab/tests/test_ai_news_analyzer.py

@@ -17,7 +17,10 @@ def _mk_llm(content_text: str, in_tokens: int = 100, out_tokens: int = 20):
     return llm
 
 
-NEWS = [{"title": "삼성전자, HBM 양산"}, {"title": "메모리 가격 반등"}]
+NEWS = [
+    {"title": "삼성전자, HBM 양산", "summary": "1분기 영업이익 사상 최대", "pub_date": "2026-05-14"},
+    {"title": "메모리 가격 반등", "summary": "", "pub_date": "2026-05-14"},
+]
 
 
 @pytest.mark.asyncio
@@ -53,3 +56,15 @@ async def test_score_sentiment_clamps_negative_out_of_range():
     llm = _mk_llm(json.dumps({"score": -42.0, "reason": "초악재"}))
     out = await analyzer.score_sentiment(llm, "005930", NEWS)
     assert out["score_raw"] == -10.0
+
+
+@pytest.mark.asyncio
+async def test_score_sentiment_includes_summary_in_prompt():
+    """summary 가 있으면 prompt 에 포함, 없으면 title 만."""
+    llm = _mk_llm(json.dumps({"score": 5.0, "reason": "ok"}))
+    await analyzer.score_sentiment(llm, "005930", NEWS, name="삼성전자")
+    call = llm.messages.create.call_args
+    user_msg = call.kwargs["messages"][0]["content"]
+    assert "1분기 영업이익 사상 최대" in user_msg  # summary 포함
+    assert "삼성전자, HBM 양산" in user_msg  # title 포함
+    assert "2026-05-14" in user_msg  # pub_date 포함