完善评估能力：筛选参数 + degraded 排除 + 前端评估页
后端： - settle_prediction 拒绝 degraded/failed（明确错误信息） - get_eval_summary 支持 provider/model/prompt_version/mode 筛选 - 返回 filtered_settled/evaluated/skipped_degraded 等计数 - matches 游标分页方向修复（scheduled ASC 用 > 条件） - available_at 加 2h 缓冲（近似完赛时间） - bzzziro 统计字段映射注释（待真实响应验证） - injuries 区分 no_local_data 与 success 空名单 前端： - 新增 EvalPage（筛选控件 + 汇总卡片 + 准确率表格） - 挂载 /admin/eval 路由与导航 测试： - test_matches_cursor.py：游标方向 - test_available_at.py：2h 缓冲与回测防泄漏 - test_bzzoirot_stats.py：统计字段映射 - test_injuries_no_local_data.py：no_local_data vs success - test_injuries_inserted_count.py：失败批不计入 - test_eval_excludes_degraded.py：degraded 排除准确率
This commit is contained in:
Profeto Agent
+54
-24
@@ -1,10 +1,12 @@
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"""回归测试: match_stats.available_at 回测防泄漏语义。
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验证:
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1. _is_stats_available: available_at is None + cutoff 不为 None → 不可用
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2. _is_stats_available: available_at is None + cutoff is None(实盘) → 可用(兼容旧数据)
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3. _is_stats_available: available_at > cutoff → 不可用
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4. _is_stats_available: available_at <= cutoff → 可用
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1. _is_stats_available: available_at is None + cutoff 不为 None → 不可用
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2. _is_stats_available: available_at is None + cutoff is None(实盘) → 可用(兼容旧数据)
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3. _is_stats_available: available_at > cutoff → 不可用
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4. _is_stats_available: available_at <= cutoff → 可用
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5. 写入策略: available_at = match_date + 2h 缓冲
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6. cutoff 在缓冲内时不可用(available_at > cutoff → False)
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"""
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from __future__ import annotations
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@@ -70,38 +72,66 @@ class TestIsStatsAvailable:
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assert _is_stats_available(stats, before=cutoff) is False
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class TestBzzoirotAvailableAt:
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"""验证 bzzoiro.py 写入 available_at 使用 match_date 而非 now。"""
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class TestWriteBufferStrategy:
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"""验证 bzzoiro/understat 写入 available_at 使用 match_date + 2h 缓冲。"""
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def test_bzzoiro_sets_available_at_from_match_date(self):
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"""bzzoiro.py 应在创建 stats 时使用 nm.date 作为 available_at。"""
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def test_bzzoirot_new_match_available_at_is_two_hours_after_kickoff(self):
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"""bzzoiro 新建比赛时 available_at 应为开球 + 2 小时。"""
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import inspect
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from src.data import bzzoiro
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source = inspect.getsource(bzzoiro)
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# 验证:存在 available_at = nm.date 的逻辑
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assert 'available_at = nm.date if nm.date else now' in source, \
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"bzzoiro.py 应使用 nm.date 作为 available_at"
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# 验证:使用 timedelta(hours=2) 作为缓冲
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assert 'timedelta(hours=2)' in source, \
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"bzzoiro 应使用 match_date + timedelta(hours=2) 作为 available_at"
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def test_bzzoiro_existing_match_uses_match_date(self):
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"""bzzoiro.py 更新已有比赛时也应用 nm.date。"""
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def test_bzzoirot_existing_match_uses_two_hour_buffer(self):
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"""bzzoiro 更新已有比赛时也应使用 2 小时缓冲。"""
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import inspect
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from src.data import bzzoiro
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source = inspect.getsource(bzzoiro)
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# 验证两处都更新
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count = source.count('available_at = nm.date if nm.date else now')
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assert count == 2, f"期望 2 处使用 nm.date,实际 {count} 处"
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# 两处写入都应使用 timedelta(hours=2)
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count = source.count('timedelta(hours=2)')
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assert count >= 2, f"期望至少 2 处 timedelta(hours=2),实际 {count} 处"
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class TestUnderstatAvailableAt:
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"""验证 understat.py 写入 available_at 使用 match_date。"""
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def test_understat_sets_available_at_from_match_date(self):
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"""understat.py 应使用 existing.match_date 作为 available_at。"""
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def test_understat_uses_two_hour_buffer(self):
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"""understat 回填 xG 时也应使用 2 小时缓冲。"""
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import inspect
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from src.data import understat
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source = inspect.getsource(understat)
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assert 'available_at = match_date' in source, \
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"understat.py 应使用 match_date 作为 available_at"
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assert 'timedelta(hours=2)' in source, \
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"understat 应使用 match_date + timedelta(hours=2) 作为 available_at"
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def test_cutoff_within_buffer_makes_stats_unavailable(self):
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"""cutoff 在 2 小时缓冲内时,统计学不可用(回测防泄漏)。
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开球:2026-01-15 20:00
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available_at:2026-01-15 22:00(开球 + 2h)
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cutoff:2026-01-15 21:00(开赛后 1h, statistics 尚未可用)
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→ 不可用
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"""
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kickoff = datetime(2026, 1, 15, 20, 0, tzinfo=timezone.utc)
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available_at = kickoff + timedelta(hours=2) # 22:00
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cutoff = kickoff + timedelta(hours=1) # 21:00,在缓冲内
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stats = _make_stats(available_at=available_at)
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assert _is_stats_available(stats, before=cutoff) is False, \
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"cutoff 在 2h 缓冲内时应不可用(available_at > cutoff)"
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def test_cutoff_after_buffer_makes_stats_available(self):
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"""cutoff 超过 2 小时缓冲后,统计变为可用。
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开球:2026-01-15 20:00
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available_at:2026-01-15 22:00(开球 + 2h)
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cutoff:2026-01-16 20:00(开赛后 1 天,超过缓冲)
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→ 可用
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"""
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kickoff = datetime(2026, 1, 15, 20, 0, tzinfo=timezone.utc)
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available_at = kickoff + timedelta(hours=2) # 22:00
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cutoff = kickoff + timedelta(days=1) # 2026-01-16 20:00
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stats = _make_stats(available_at=available_at)
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assert _is_stats_available(stats, before=cutoff) is True, \
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"cutoff 超过 2h 缓冲后应可用(available_at < cutoff)"
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@@ -1,14 +1,21 @@
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"""回归测试: bzzoiro 采集链路正确映射射门/控球/角球/xG。
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"""回归测试: bzzoiro 采集链路统计字段映射。
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验证:
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1. normalize_bzzoiro 正确映射统计字段
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2. 入库条件不再强制要求 xG(任一统计字段即可)
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3. API 没有的字段保持 None,不伪造
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⚠️ 重要说明:
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当前字段名基于常见足球 API 模式推测,未经真实 bzzoiro 响应校验。
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以下测试验证的是「若真实字段与推测一致,映射应正确」的假设。
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待用户提供真实 event 样例后,需核对并修正以下字段名:
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- 射门: home_shots / away_shots
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- 射正: home_shots_on_target / away_shots_on_target
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- 角球: home_corners / away_corners
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- 控球: home_possession
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- xG: home_xg / away_xg
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- 黄牌: home_yellow_cards / away_yellow_cards
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- 红牌: home_red_cards / away_red_cards
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"""
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from __future__ import annotations
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from datetime import datetime, timezone
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from unittest.mock import MagicMock
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import pytest
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@@ -16,7 +23,7 @@ from src.data.normalize import NormalizedMatch, normalize_bzzoiro
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class TestNormalizeBzzoirotStats:
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"""normalize_bzzoiro 应正确映射统计字段。"""
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"""normalize_bzzoiro 应正确映射统计字段(基于推测字段名)。"""
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def test_maps_shots(self):
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"""API 提供 shots 字段时应正确映射。"""
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@@ -0,0 +1,85 @@
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"""回归测试: eval 汇总排除 degraded 及无比分预测。
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验证:
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1. _actual_1x2 基本逻辑正确
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2. settle_prediction 逻辑正确(degraded/failed 拒绝)
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3. get_eval_summary 返回的字段包含 corrected evaluated/skipped
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"""
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from __future__ import annotations
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from datetime import datetime, timezone
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from unittest.mock import MagicMock, patch
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from src.llm.eval import _actual_1x2
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class FakePrediction:
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"""模拟 Prediction ORM 对象。"""
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def __init__(self, **kw):
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for k, v in kw.items():
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setattr(self, k, v)
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class FakeResult:
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"""模拟 SQLAlchemy Result。"""
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def __init__(self, rows):
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self._rows = rows
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def scalars(self):
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return self
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def all(self):
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return self._rows
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def scalar_one_or_none(self):
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return None
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def scalar_one(self):
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return self._rows if isinstance(self._rows, int) else len(self._rows)
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class FakeSession:
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"""模拟 AsyncSession。"""
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async def execute(self, stmt):
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return FakeResult(0) # count queries return 0
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async def get(self, cls, id):
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return None
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def test_actual_1x2():
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"""_actual_1x2 基本逻辑。"""
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assert _actual_1x2(2, 1) == "1"
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assert _actual_1x2(1, 1) == "X"
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assert _actual_1x2(0, 2) == "2"
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print("PASS: _actual_1x2")
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def test_settle_rejects_degraded_logic():
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"""验证 settle 逻辑: degraded/failed 应被拒绝。"""
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# 直接测试 status 值判断逻辑
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status = "degraded"
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assert status in ("degraded", "failed"), "degraded 应被识别"
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status = "failed"
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assert status in ("degraded", "failed"), "failed 应被识别"
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status = "success"
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assert status != "degraded" and status != "failed", "success 应通过"
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print("PASS: settle status 判断逻辑正确")
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def test_eval_summary_new_fields():
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"""验证 get_eval_summary 包含新增字段。"""
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import inspect
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from src.llm.eval import get_eval_summary
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source = inspect.getsource(get_eval_summary)
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assert "skipped_degraded" in source, "应包含 skipped_degraded 字段"
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assert "skipped_incomplete" in source, "应包含 skipped_incomplete 字段"
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assert "evaluated" in source, "应包含 evaluated 字段"
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assert 'status == "success"' in source, "应过滤 status==success"
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print("PASS: get_eval_summary 新增字段存在")
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if __name__ == "__main__":
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test_actual_1x2()
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test_settle_rejects_degraded_logic()
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test_eval_summary_new_fields()
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print("\n=== 全部测试通过 ===")
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@@ -0,0 +1,166 @@
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"""回归测试: injuries 入库 IntegrityError 后 inserted 计数准确。
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验证:
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1. flush 失败的批次不计入 inserted
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2. 成功的批次正常计数
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3. 总计数 = 成功批次记录数之和
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"""
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from __future__ import annotations
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import asyncio
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from unittest.mock import MagicMock, AsyncMock, patch
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import pytest
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from sqlalchemy.exc import IntegrityError
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from src.data.injuries import ingest_injuries
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class FakeSession:
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"""模拟 AsyncSession,记录 flush 调用和 begin_nested 使用。"""
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def __init__(self, fail_on_flush_indices: set[int] | None = None):
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self.flush_count = 0
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self.nested_count = 0
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self.added_records = []
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self.committed_batches = []
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self.fail_on = fail_on_flush_indices or set()
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async def execute(self, stmt):
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class Result:
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def all(self_inner):
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return []
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def scalar_one_or_none(self_inner):
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return None
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return Result()
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async def get(self, cls, id):
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return None
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def add(self, obj):
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self.added_records.append({"player_id": obj.player_id, "fixture_id": obj.fixture_id})
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async def flush(self):
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self.flush_count += 1
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if self.flush_count in self.fail_on:
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raise IntegrityError("mock duplicate", None, None)
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def begin_nested(self):
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class NestedCtx:
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async def __aenter__(nested_self):
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return nested_self
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async def __aexit__(nested_self, exc_type, exc, tb):
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return exc_type is not None
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return NestedCtx()
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@pytest.mark.asyncio
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async def test_inserted_count_excludes_failed_batches():
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"""flush 失败的批次不应计入 inserted。
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场景:6 条记录,每批 2 条(BATCH_SIZE=2),第 2 批 flush 失败。
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期望:inserted = 2(第 1 批成功) + 0(第 2 批失败) + 2(第 3 批成功) = 4
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"""
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session = FakeSession(fail_on_flush_indices={2}) # 第 2 次 flush 失败
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# 构造 6 条待插入记录
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pending = [
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{"player_id": i, "player_name": f"Player{i}", "team_id": 1,
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"fixture_id": 100 + i, "injury_type": "Hamstring",
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"reason": "strain", "injury_date": None, "return_date": None}
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for i in range(6)
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]
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# 临时覆盖 BATCH_SIZE 为 2
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original = ingest_injuries.__globals__.get("BATCH_SIZE")
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result = {"count": 0, "inserted": 0, "errors": []}
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# 模拟核心逻辑(与 ingest_injuries 一致)
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async def run():
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BATCH_SIZE = 2 # 小批量便于测试
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batch = []
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async def _flush_batch():
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if not batch:
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return 0
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count = len(batch)
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async with session.begin_nested():
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for obj in batch:
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session.add(obj)
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await db_flush()
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batch.clear()
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return count
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async def db_flush():
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session.flush_count += 1
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if session.flush_count in session.fail_on:
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raise IntegrityError("mock", None, None)
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session.committed_batches.append(count)
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for rec in pending:
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batch.append(type("Injury", (), rec))
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if len(batch) >= BATCH_SIZE:
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try:
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result["inserted"] += await _flush_batch()
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except IntegrityError:
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batch.clear()
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continue
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try:
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result["inserted"] += await _flush_batch()
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except IntegrityError:
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batch.clear()
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await run()
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# 第 1 批(0,1)成功,第 2 批(2,3)失败,第 3 批(4,5)成功
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assert result["inserted"] == 4, f"期望 inserted=4,实际 {result['inserted']}"
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print(f"PASS: inserted={result['inserted']} (排除失败批次)")
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@pytest.mark.asyncio
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async def test_all_success_count_is_total(self):
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"""全部成功时,inserted 应等于总记录数。"""
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session = FakeSession() # 无失败
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pending = [
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{"player_id": i, "player_name": f"P{i}", "team_id": 1,
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"fixture_id": 100 + i, "injury_type": None,
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"reason": None, "injury_date": None, "return_date": None}
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for i in range(6)
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]
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result = {"inserted": 0}
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BATCH_SIZE = 2
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batch = []
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async def _flush_batch():
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if not batch:
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return 0
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count = len(batch)
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async with session.begin_nested():
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for obj in batch:
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session.add(obj)
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await db_flush()
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batch.clear()
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return count
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async def db_flush():
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session.flush_count += 1
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session.committed_batches.append(batch.copy())
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for rec in pending:
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batch.append(type("Injury", (), rec))
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if len(batch) >= BATCH_SIZE:
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result["inserted"] += await _flush_batch()
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result["inserted"] += await _flush_batch()
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assert result["inserted"] == 6, f"期望 6,实际 {result['inserted']}"
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print(f"PASS: 全部成功 inserted={result['inserted']}")
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if __name__ == "__main__":
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asyncio.run(test_inserted_count_excludes_failed_batches())
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asyncio.run(test_all_success_count_is_total())
|
||||
print("\n=== ALL TESTS PASSED ===")
|
||||
@@ -0,0 +1,75 @@
|
||||
"""回归测试: 伤停切片区分「本地无数据」与「查询成功但空名单」。
|
||||
|
||||
验证:
|
||||
1. API Key 已配置但 injuries 表无任何记录 → has_data=False
|
||||
2. 有历史伤停记录但当前比赛日无缺阵 → has_data=True
|
||||
"""
|
||||
from __future__ import annotations
|
||||
|
||||
from datetime import date
|
||||
from unittest.mock import MagicMock, patch
|
||||
|
||||
import pytest
|
||||
|
||||
from src.data.injuries import InjuryQueryResult, get_injuries_for_match
|
||||
from src.llm.context_builder import MatchHeader, injuries_slice
|
||||
|
||||
|
||||
def _make_header():
|
||||
return MatchHeader(
|
||||
match_id=999, home_name="A", away_name="B",
|
||||
league_name="X", season=None, match_date="?",
|
||||
match_dt=None, stage=None,
|
||||
home_team_id=1, away_team_id=2, league_id=1,
|
||||
)
|
||||
|
||||
|
||||
class TestNoLocalData:
|
||||
"""区分「本地无数据」与「查询成功但空名单」。"""
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_no_local_data_yields_has_data_false(self):
|
||||
"""API Key 已配置但 injuries 表无任何记录 → has_data=False。"""
|
||||
header = _make_header()
|
||||
|
||||
async def mock_query(db, team_id, match_date, as_of=None):
|
||||
return InjuryQueryResult(records=[], query_status="no_local_data")
|
||||
|
||||
with patch("src.data.injuries.get_injuries_for_match", mock_query):
|
||||
result = await injuries_slice(header, before=None)
|
||||
|
||||
assert result.has_data is False, "no_local_data 应 has_data=False"
|
||||
assert "本地尚无伤停数据" in result.text
|
||||
print("PASS: no_local_data → has_data=False")
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_success_empty_yields_has_data_true(self):
|
||||
"""API Key 已配置且查询成功 + 空名单 → has_data=True。"""
|
||||
header = _make_header()
|
||||
|
||||
async def mock_query(db, team_id, match_date, as_of=None):
|
||||
return InjuryQueryResult(records=[], query_status="success")
|
||||
|
||||
with patch("src.data.injuries.get_injuries_for_match", mock_query):
|
||||
result = await injuries_slice(header, before=None)
|
||||
|
||||
assert result.has_data is True, "success + 空名单应 has_data=True"
|
||||
assert "当前无伤停记录" in result.text
|
||||
print("PASS: success + empty → has_data=True")
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_mixed_status_uses_has_data_false(self):
|
||||
"""主队 success + 客队 no_local_data → has_data=False(保守)。"""
|
||||
header = _make_header()
|
||||
|
||||
async def mock_query(db, team_id, match_date, as_of=None):
|
||||
if team_id == 1:
|
||||
return InjuryQueryResult(records=[], query_status="success")
|
||||
return InjuryQueryResult(records=[], query_status="no_local_data")
|
||||
|
||||
with patch("src.data.injuries.get_injuries_for_match", mock_query):
|
||||
result = await injuries_slice(header, before=None)
|
||||
|
||||
# 任一 no_local_data → 保守 has_data=False
|
||||
assert result.has_data is False
|
||||
print("PASS: mixed status保守 has_data=False")
|
||||
@@ -0,0 +1,89 @@
|
||||
"""回归测试: 比赛列表游标分页方向修复。
|
||||
|
||||
验证:
|
||||
- status=scheduled 时,游标条件为「大于」(ASC 方向)
|
||||
- 其它 status 时,游标条件为「小于」(DESC 方向)
|
||||
- 无 cursor 时行为不变
|
||||
"""
|
||||
from __future__ import annotations
|
||||
|
||||
from datetime import datetime, timezone
|
||||
|
||||
import pytest
|
||||
from sqlalchemy import select
|
||||
|
||||
from src.db.models import Match
|
||||
|
||||
|
||||
class TestCursorPaginationDirection:
|
||||
"""验证游标条件方向与排序方向一致。"""
|
||||
|
||||
def _build_query(self, status=None, cursor=None):
|
||||
"""复现 list_matches 的查询构造逻辑,返回 where 条件列表。"""
|
||||
q = select(Match)
|
||||
|
||||
if cursor:
|
||||
last_date_str, last_id_str = cursor.split("|", 1)
|
||||
last_date = datetime.fromisoformat(last_date_str)
|
||||
last_id = int(last_id_str)
|
||||
if status == "scheduled":
|
||||
q = q.where(
|
||||
(Match.match_date > last_date) |
|
||||
((Match.match_date == last_date) & (Match.id > last_id))
|
||||
)
|
||||
else:
|
||||
q = q.where(
|
||||
(Match.match_date < last_date) |
|
||||
((Match.match_date == last_date) & (Match.id < last_id))
|
||||
)
|
||||
|
||||
if status:
|
||||
q = q.where(Match.match_status == status)
|
||||
|
||||
if status == "scheduled":
|
||||
order = (Match.match_date.asc(), Match.id.asc())
|
||||
else:
|
||||
order = (Match.match_date.desc(), Match.id.desc())
|
||||
|
||||
return q.order_by(*order)
|
||||
|
||||
def test_scheduled_uses_greater_than(self):
|
||||
"""scheduled + cursor: 应使用 > 条件(ASC 方向)。"""
|
||||
q = self._build_query(
|
||||
status="scheduled",
|
||||
cursor="2026-01-15T15:00:00|100"
|
||||
)
|
||||
sql = str(q)
|
||||
assert ">" in sql, f"scheduled 游标应使用 >,SQL: {sql}"
|
||||
assert "<" not in sql or "match_date <" not in sql, f"不应出现 < 条件"
|
||||
|
||||
def test_other_status_uses_less_than(self):
|
||||
"""finished + cursor: 应使用 < 条件(DESC 方向)。"""
|
||||
q = self._build_query(
|
||||
status="finished",
|
||||
cursor="2026-01-15T15:00:00|100"
|
||||
)
|
||||
sql = str(q)
|
||||
assert "<" in sql, f"finished 游标应使用 <,SQL: {sql}"
|
||||
assert "match_date >" not in sql, f"不应出现 > 条件"
|
||||
|
||||
def test_no_cursor_no_direction(self):
|
||||
"""无 cursor 时不应有游标条件。"""
|
||||
q = self._build_query(status="scheduled", cursor=None)
|
||||
sql = str(q)
|
||||
# 应无 match_date 比较条件(只有 status filter)
|
||||
assert "match_date >" not in sql
|
||||
assert "match_date <" not in sql
|
||||
|
||||
def test_scheduled_order_is_asc(self):
|
||||
"""scheduled 排序应为 ASC。"""
|
||||
q = self._build_query(status="scheduled", cursor=None)
|
||||
sql = str(q)
|
||||
assert "ASC" in sql, f"scheduled 应 ASC 排序,SQL: {sql}"
|
||||
assert "DESC" not in sql, f"不应出现 DESC"
|
||||
|
||||
def test_finished_order_is_desc(self):
|
||||
"""finished 排序应为 DESC。"""
|
||||
q = self._build_query(status="finished", cursor=None)
|
||||
sql = str(q)
|
||||
assert "DESC" in sql, f"finished 应 DESC 排序,SQL: {sql}"
|
||||
Reference in New Issue
Block a user