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
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Profeto Agent
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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())
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print("\n=== ALL TESTS PASSED ===")
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