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shy3130
9d3ac6381d
- 扩展数据: 每日/每周/每月调度 + 仅交易日, 拉取设置双层对话框, 创建/编辑弹窗统一 - 量比: 盘中按已交易分钟折算当日成交量, 修复自动/手动数值撕裂 - 策略执行: 分钟路径接入后台单飞队列, 线程池 40→100, 渐进式结果隔离 - 性能: 策略矩阵请求内缓存、策略缓存内存镜像(mtime 指纹失效)、坏策略向量化 - 前端: 分时缩略图着色改为过昨收基准线判定、数字输入草稿态、RunningHub 折扣动态化 - RunningHub: 透传忙闲时定价并展示当前时段
98 lines
3.6 KiB
Python
98 lines
3.6 KiB
Python
"""strategy_cache 的进程内内存镜像 (轮询瘦身)。
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/cached-summary 前端每 2s 轮询一次, 无镜像时每次都读 13MB JSON 再解析 (50-100ms)。
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镜像契约:
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- read_cache 在 (st_mtime_ns, st_size) 指纹未变时返回共享对象 (is 同一对象), 调用方只读;
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- 外部改写文件 → 指纹变 → 重读新内容, 不返回陈旧镜像;
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- write_cache 写入成功直填镜像: 写后读不触发重解析 (read-modify-write 也走镜像);
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- clear_cache / 文件消失 → 镜像条目一并清除。
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"""
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from __future__ import annotations
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import json
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import os
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from app.services import strategy_cache
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def _result(*symbols: str) -> dict:
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return {
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"total": len(symbols),
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"as_of": "2026-10-19",
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"rows": [{"symbol": s} for s in symbols],
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}
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def _spy_json_loads(monkeypatch) -> dict:
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"""统计 JSON 解析次数 — 镜像命中时不应发生解析。"""
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calls = {"n": 0}
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real = strategy_cache.json.loads
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def counting(text):
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calls["n"] += 1
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return real(text)
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monkeypatch.setattr(strategy_cache.json, "loads", counting)
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return calls
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def test_read_returns_shared_mirror_object_without_reparse(tmp_path, monkeypatch):
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strategy_cache.write_cache(tmp_path, "2026-10-19", {"s1": _result("000001.SZ")})
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calls = _spy_json_loads(monkeypatch)
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first = strategy_cache.read_cache(tmp_path)
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second = strategy_cache.read_cache(tmp_path)
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assert first is second # 镜像命中: 同一对象
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assert first["results"]["s1"]["rows"][0]["symbol"] == "000001.SZ"
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assert calls["n"] == 0 # write_cache 已直填镜像, 读零解析
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def test_second_write_merges_via_mirror_then_reads_fresh(tmp_path, monkeypatch):
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strategy_cache.write_cache(tmp_path, "2026-10-19", {"s1": _result("000001.SZ")})
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calls = _spy_json_loads(monkeypatch)
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strategy_cache.write_cache(tmp_path, "2026-10-19", {"s2": _result("600000.SH")})
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cached = strategy_cache.read_cache(tmp_path)
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assert set(cached["results"]) == {"s1", "s2"}
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assert calls["n"] == 0 # read-modify-write 的读与随后的读全走镜像
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def test_external_rewrite_invalidates_mirror(tmp_path):
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strategy_cache.write_cache(tmp_path, "2026-10-19", {"s1": _result("000001.SZ")})
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assert set(strategy_cache.read_cache(tmp_path)["results"]) == {"s1"}
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# 模拟外部进程改写缓存文件 (绕过 write_cache), 并显式改 mtime 规避
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# 文件系统时间戳分辨率导致的指纹碰撞
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path = tmp_path / "user_data" / "strategy_cache.json"
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external = {
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"as_of": "2026-10-19",
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"results": {"ext": _result("300750.SZ")},
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"today_ever_matched": {},
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"today_ever_rows": {},
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"updated_at": 1,
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}
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path.write_text(json.dumps(external), encoding="utf-8")
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os.utime(path, ns=(10**9, 10**9))
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cached = strategy_cache.read_cache(tmp_path)
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assert set(cached["results"]) == {"ext"} # 读到磁盘新内容, 非陈旧镜像
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def test_clear_cache_drops_mirror(tmp_path):
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strategy_cache.write_cache(tmp_path, "2026-10-19", {"s1": _result("000001.SZ")})
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assert strategy_cache.read_cache(tmp_path) is not None
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strategy_cache.clear_cache(tmp_path)
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assert strategy_cache.read_cache(tmp_path) is None
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def test_file_deleted_externally_mirror_not_leaked(tmp_path):
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strategy_cache.write_cache(tmp_path, "2026-10-19", {"s1": _result("000001.SZ")})
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assert strategy_cache.read_cache(tmp_path) is not None
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# 外部直接删文件 (非 clear_cache): stat 失败路径须清镜像并返回 None
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(tmp_path / "user_data" / "strategy_cache.json").unlink()
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assert strategy_cache.read_cache(tmp_path) is None
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