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shy3130
8c28132361
_load_concept_map_df 正常路径返回 (map_df, count) 元组, 但缓存只存了 裸 map_df —— 600s TTL 内二次访问命中缓存返回 DataFrame, 调用方按元组 解包把两列拆成两个 Series, 概念/行业分析二次打开必报错 (issue #186 报告者定位)。 - 缓存与返回值同构: 存 (map_df, count) 元组, 类型注解同步 - 移除 market_mainline / rps_rotation 两处针对旧 bug 的防御性兼容层 - 删除失效的 bare-DataFrame 兼容测试, 新增缓存契约回归测试 (3 次连跑通过)
71 lines
2.5 KiB
Python
71 lines
2.5 KiB
Python
"""_load_concept_map_df 缓存契约回归 (#186)。
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旧 bug: 正常路径返回 (map_df, count) 元组, 但缓存只存了裸 map_df,
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600s 内第二次调用命中缓存返回 DataFrame, 调用方按元组解包会把两列
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拆成两个 Series, 概念/行业分析二次访问必报错 (issue 截图定位)。
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"""
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from __future__ import annotations
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import types
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import pytest
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from app.services import rps_rotation
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@pytest.fixture(autouse=True)
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def _clear_map_cache():
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rps_rotation._map_cache.clear()
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rps_rotation._map_ts.clear()
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yield
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rps_rotation._map_cache.clear()
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rps_rotation._map_ts.clear()
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def _fake_repo(tmp_path):
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return types.SimpleNamespace(store=types.SimpleNamespace(data_dir=tmp_path))
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def _patch_ext(monkeypatch, rows: list[dict]) -> None:
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"""替身 ext 配置读取: 免落盘, 聚焦缓存契约本身。"""
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config = types.SimpleNamespace(id="ext_gn_ths")
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monkeypatch.setattr(rps_rotation.ExtConfigStore, "load_all", lambda self: [config])
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monkeypatch.setattr(
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rps_rotation, "_dimension_field",
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lambda cfg, kind: "所属概念" if kind == "concept" else None,
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)
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monkeypatch.setattr(rps_rotation, "_read_ext_rows", lambda data_dir, cfg, field: rows)
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monkeypatch.setattr(
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rps_rotation, "_symbol_keys", lambda row, cfg: [row["symbol"].upper()]
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)
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def test_map_cache_hit_returns_same_tuple(tmp_path, monkeypatch):
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_patch_ext(monkeypatch, [
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{"symbol": "s1.SH", "所属概念": "人工智能"},
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{"symbol": "s2.SH", "所属概念": "芯片"},
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])
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first = rps_rotation._load_concept_map_df(_fake_repo(tmp_path), "concept")
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assert isinstance(first, tuple) and len(first) == 2
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map_df, count = first
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assert count == 2
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assert sorted(map_df["_sym_up"].to_list()) == ["S1.SH", "S2.SH"]
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# 旧 bug: 命中缓存返回裸 DataFrame (只缓存了 map_df), 元组解包变两个 Series
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second = rps_rotation._load_concept_map_df(_fake_repo(tmp_path), "concept")
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assert isinstance(second, tuple) and len(second) == 2
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assert second[0].equals(map_df)
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assert second[1] == count
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def test_map_cache_isolated_by_kind(tmp_path, monkeypatch):
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_patch_ext(monkeypatch, [
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{"symbol": "s1.SH", "所属概念": "人工智能"},
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])
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repo = _fake_repo(tmp_path)
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concept = rps_rotation._load_concept_map_df(repo, "concept")
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industry = rps_rotation._load_concept_map_df(repo, "industry")
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assert concept[1] == 1
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assert industry[1] == 0
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assert industry[0].is_empty()
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