按「测试腐化(a)/ 源码缺陷(b)/ 测试污染(c)」逐项定性,仅改 tests/: - 外机绝对路径(4): 迁移文件路径改为相对仓库根解析(沿用 test_regressions._read 约定),断言内容保持不变。 - cutoff 用例(4+1): mock 未生效的真因是 _agent_provider 被换成同步 lambda,await 抛 TypeError 被生产代码吞掉后 IndexError;改为 async mock 并按 run_specialists/load_match_header/_agent_provider 的真实契约 打补丁。degraded 用例再加 _upsert_prediction 顶层 kwargs(model)采集。 - 陈旧断言(3): agent 键按现契约断言中文映射;h2h mock 改 async; Match.stats 按设计为 lazy="select",从 MATCH_RELATIONS 移出并单独 固化该设计决定。 - P0-3 守卫(1): seg 越界扫到下游 stats 管线导致误报,改为按缩进收口; 合法形状含经 raw 派生变量中转的写法,并补元测试确保守卫仍能抓到回归。 - 交叉污染(6): test_multi_agent_cutoff 用 patch.object 精确还原,消除 裸赋值泄漏的同步 mock;现已验证顺序无关。
144 lines
5.4 KiB
Python
144 lines
5.4 KiB
Python
"""回归测试: predictions 表 agent_weights 独立持久化。
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验证:
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1. ORM 模型有 agent_weights 列(JSONB, 可空)
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2. 迁移文件存在且可逆
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3. orchestrator 写入 agent_weights
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"""
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from __future__ import annotations
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from pathlib import Path
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from unittest.mock import MagicMock, patch
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import pytest
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from src.db.models import Prediction
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# 仓库根目录下的 alembic 迁移目录 —— 相对本测试文件解析,
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# 避免硬编码某台机器/CI 上的绝对路径(见 tests/test_regressions.py 的 _read 约定)。
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REPO_ROOT = Path(__file__).resolve().parent.parent
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MIGRATION_PATH = REPO_ROOT / "alembic" / "versions" / "0014_predictions_agent_weights.py"
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class TestAgentWeightsColumn:
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"""验证 predictions 表有 agent_weights 列。"""
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def test_orm_has_agent_weights_column(self):
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"""ORM 模型应包含 agent_weights 列。"""
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cols = {c.name: c for c in Prediction.__table__.columns}
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assert "agent_weights" in cols, "predictions 表应有 agent_weights 列"
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def test_agent_weights_is_jsonb(self):
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"""agent_weights 应为 JSONB 类型。"""
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col = Prediction.__table__.columns["agent_weights"]
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# JSONB 类型检查
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assert "JSON" in str(col.type).upper() or "JSONB" in str(col.type).upper()
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def test_agent_weights_nullable(self):
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"""agent_weights 应可空(旧行保持 NULL)。"""
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col = Prediction.__table__.columns["agent_weights"]
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assert col.nullable is True, "agent_weights 应可空"
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class TestMigration:
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"""验证迁移文件存在且内容正确。"""
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def test_migration_exists(self):
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assert MIGRATION_PATH.is_file(), f"迁移文件不存在: {MIGRATION_PATH}"
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def test_migration_content(self):
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content = MIGRATION_PATH.read_text(encoding="utf-8")
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assert "agent_weights" in content
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assert "upgrade" in content
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assert "downgrade" in content
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assert "downgrade" in content and "drop_column" in content
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assert "nullable=True" in content
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class TestOrchestratorWritesAgentWeights:
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"""验证 orchestrator 写入 agent_weights。"""
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@pytest.mark.asyncio
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async def test_orchestrator_writes_agent_weights_to_upsert(self):
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"""orchestrator 应将 agent_weights 传入 _upsert_prediction。"""
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from src.llm.agents import orchestrator as orch_mod
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from src.llm.agents.base import AgentReport
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from src.llm.context_builder import MatchHeader
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header = MatchHeader(
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match_id=999, home_name="A", away_name="B",
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league_name="X", season=None, match_date="?",
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match_dt=None, stage=None,
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home_team_id=1, away_team_id=2, league_id=1,
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)
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# 构造有效专家报告(至少 1 个 ok)
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reports = [
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AgentReport(agent="form", status="ok", analysis="good"),
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AgentReport(agent="stats", status="error", analysis="failed"),
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AgentReport(agent="home_away", status="ok", analysis="good"),
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AgentReport(agent="standings", status="no_data", analysis="无数据"),
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AgentReport(agent="h2h", status="error", analysis="failed"),
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]
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captured_values = {}
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async def mock_specialists(h, *, version, before):
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return reports
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async def mock_provider(aid, **kw):
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return MagicMock(model="test-model")
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async def mock_header(mid, db=None):
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return header
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async def mock_aggregator(header, reports, *, provider, version):
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return {
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"pred_home_goals": 2,
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"pred_away_goals": 1,
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"pred_1x2": "1",
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"subjective_confidence": 0.7,
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"reasoning": "test",
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"agent_weights": {"form": 0.3, "home_away": 0.5, "stats": 0.2},
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}, 100, 50
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async def mock_upsert(session, **kw):
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captured_values.update(kw.get("values", {}))
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p = MagicMock()
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p.id = 1
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p.provider = "test"
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p.model = "test"
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p.prompt_version = "v1"
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p.pred_home_goals = 2
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p.pred_away_goals = 1
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p.pred_1x2 = "1"
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p.subjective_confidence = 0.7
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p.reasoning = "test"
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p.agent_outputs = []
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p.agent_weights = kw["values"].get("agent_weights")
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return p
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class FakeUow:
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async def __aenter__(self):
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return self
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async def __aexit__(self, *a):
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pass
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async def get(self, cls, id):
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return MagicMock()
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with patch.object(orch_mod, "run_specialists", mock_specialists), \
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patch.object(orch_mod, "_agent_provider", mock_provider), \
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patch.object(orch_mod, "load_match_header", mock_header), \
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patch.object(orch_mod, "_upsert_prediction", mock_upsert), \
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patch.object(orch_mod, "run_aggregator", mock_aggregator), \
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patch.object(orch_mod, "get_uow", FakeUow):
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result = await orch_mod.predict_match_multi(999)
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# 断言 agent_weights 被写入
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assert "agent_weights" in captured_values, "agent_weights 应传入 _upsert_prediction"
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assert captured_values["agent_weights"] is not None, "agent_weights 不应为 None"
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assert "form" in captured_values["agent_weights"], "agent_weights 应包含专家权重"
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print(f"PASS: agent_weights = {captured_values['agent_weights']}")
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