fix:批量修复了一些问题

tests/test_baseline.py

@@ -0,0 +1,130 @@
+"""测试极简基线预测:不调用 LLM,基于主客场场均进球估计,写入 prediction 表。
+
+运行(需先 pip-sync requirements-dev.txt):
+  pytest tests/test_baseline.py -v
+"""
+from __future__ import annotations
+
+from unittest.mock import patch
+
+import pytest
+
+from src.llm.baseline import _avg_goals, predict_baseline
+
+
+@pytest.mark.asyncio
+async def test_avg_goals_no_data_returns_zero():
+    """无历史数据时场均进球为 0(不抛异常)。"""
+    class FakeRow:
+        avg_goals = None
+        cnt = 0
+
+    class FakeResult:
+        def one(self):
+            return FakeRow()
+
+    class FakeSession:
+        async def execute(self, stmt):
+            return FakeResult()
+
+    avg = await _avg_goals(FakeSession(), team_id=1, side="home", league_id=1, before=None)
+    assert avg == 0.0
+
+
+@pytest.mark.asyncio
+async def test_avg_goals_with_data():
+    """有数据时返回正确均值。"""
+    class FakeRow:
+        avg_goals = 1.5
+        cnt = 10
+
+    class FakeResult:
+        def one(self):
+            return FakeRow()
+
+    class FakeSession:
+        async def execute(self, stmt):
+            return FakeResult()
+
+    avg = await _avg_goals(FakeSession(), team_id=1, side="home", league_id=1, before=None)
+    assert avg == 1.5
+
+
+@pytest.mark.asyncio
+async def test_predict_baseline_no_llm():
+    """基线预测不调用 LLM(provider=model=baseline),latency_ms=0。"""
+    captured = {}
+
+    async def fake_avg(db, *, team_id, side, league_id, before):
+        captured[f"{side}_{team_id}"] = True
+        return 2.4 if side == "home" else 1.6
+
+    class FakeMatch:
+        id = 1
+        match_id = 1
+        home_team_id = 10
+        away_team_id = 20
+        league_id = 1
+        match_status = "scheduled"
+
+    with patch("src.llm.baseline._avg_goals", fake_avg), \
+         patch("src.llm.baseline.AsyncSessionLocal") as SLC:
+        class FakeSession:
+            async def get(self, cls, mid):
+                return FakeMatch()
+        class FakeCM:
+            async def __aenter__(self):
+                return FakeSession()
+            async def __aexit__(self, *a):
+                return None
+        SLC.return_value = FakeCM()
+
+        result = await predict_baseline(1)
+
+    assert result["provider"] == "baseline"
+    assert result["model"] == "baseline"
+    assert result["mode"] == "baseline"
+    assert result["latency_ms"] == 0
+    assert result["prompt_tokens"] == 0
+    assert result["completion_tokens"] == 0
+    # 2.4 → round = 2, 1.6 → round = 2 → 平局 X
+    assert result["pred_home_goals"] == 2.0
+    assert result["pred_away_goals"] == 2.0
+    assert result["pred_1x2"] == "X"
+    assert result["subjective_confidence"] == 0.5
+    assert "非投注建议" in result["reasoning"]
+    # 确认未调用任何 LLM 相关模块
+    assert "home_10" in captured and "away_20" in captured
+
+
+@pytest.mark.asyncio
+async def test_predict_baseline_clamps_to_range():
+    """预测进球数裁剪到 [0, 10]。"""
+    async def fake_avg(db, *, team_id, side, league_id, before):
+        return 15.0 if side == "home" else -3.0
+
+    class FakeMatch:
+        id = 2
+        match_id = 2
+        home_team_id = 10
+        away_team_id = 20
+        league_id = 1
+        match_status = "scheduled"
+
+    with patch("src.llm.baseline._avg_goals", fake_avg), \
+         patch("src.llm.baseline.AsyncSessionLocal") as SLC:
+        class FakeSession:
+            async def get(self, cls, mid):
+                return FakeMatch()
+        class FakeCM:
+            async def __aenter__(self):
+                return FakeSession()
+            async def __aexit__(self, *a):
+                return None
+        SLC.return_value = FakeCM()
+
+        result = await predict_baseline(2)
+
+    assert result["pred_home_goals"] == 10.0  # clamped
+    assert result["pred_away_goals"] == 0.0   # clamped
+    assert result["pred_1x2"] == "1"         # 10:0 主胜