"""#223 回归: 盘后管道必须识别并重算覆盖不全的 enriched 分区。 自选实时路径 (merge_live_enriched_asset) 会在全市场 enriched 生成前提前 创建当日分区 (只有几只自选); 仅按日期目录计数比较会把它误判为完整分区 而跳过计算, 造成日K连续缺失与均线错误。_prune_partial_enriched_partitions 按过滤停牌后的标的集合检查覆盖, 避免正确过滤的停牌记录导致反复删除重算。 """ from __future__ import annotations from datetime import date from pathlib import Path from types import SimpleNamespace import polars as pl import pytest from app.indicators import pipeline from app.jobs import daily_pipeline from app.jobs.daily_pipeline import _prune_partial_enriched_partitions from app.services import data_integrity, preferences from app.tickflow.capabilities import CapabilitySet def _write_partition(base: Path, day: str, symbols: list[str]) -> None: part = base / f"date={day}" part.mkdir(parents=True, exist_ok=True) pl.DataFrame({ "symbol": symbols, "open": [1.0] * len(symbols), "high": [1.0] * len(symbols), "close": [1.0] * len(symbols), "volume": [100.0] * len(symbols), "amount": [100.0] * len(symbols), }).write_parquet( part / "part.parquet" ) def test_partial_partition_is_pruned(tmp_path) -> None: daily = tmp_path / "kline_daily" enriched = tmp_path / "kline_daily_enriched" # 2026-08-28: daily 全市场 100 只, enriched 只有实时写入的 5 只 (issue 实测形态) _write_partition(daily, "2026-08-28", [f"s{i:06d}" for i in range(100)]) _write_partition(enriched, "2026-08-28", [f"s{i:06d}" for i in range(5)]) # 前一日两边都是完整的 → 不动 _write_partition(daily, "2026-08-27", ["a", "b"]) _write_partition(enriched, "2026-08-27", ["a", "b"]) pruned = _prune_partial_enriched_partitions(daily, enriched) assert pruned == ["2026-08-28"] assert not (enriched / "date=2026-08-28").exists() assert (enriched / "date=2026-08-27").exists() # 完整分区保留 def test_complete_partitions_untouched(tmp_path) -> None: daily = tmp_path / "kline_daily" enriched = tmp_path / "kline_daily_enriched" syms = [f"s{i:06d}" for i in range(50)] _write_partition(daily, "2026-09-01", syms) _write_partition(enriched, "2026-09-01", syms) assert _prune_partial_enriched_partitions(daily, enriched) == [] assert (enriched / "date=2026-09-01" / "part.parquet").exists() def test_enriched_date_without_daily_is_left_alone(tmp_path) -> None: # 今日日K尚未同步时, 实时创建的当日分区留给当日正常流程处理 daily = tmp_path / "kline_daily" enriched = tmp_path / "kline_daily_enriched" day = "2026-09-07" _write_partition(enriched, day, ["only_watchlist"]) assert _prune_partial_enriched_partitions(daily, enriched) == [] assert (enriched / f"date={day}").exists() @pytest.mark.parametrize("legacy_halt", [False, True]) def test_computed_partition_with_halt_is_preserved_on_repeated_checks(tmp_path, monkeypatch, legacy_halt): monkeypatch.setattr(pipeline, "_custom_signal_exprs", {}) daily = tmp_path / "kline_daily" enriched = tmp_path / "kline_daily_enriched" day = "2026-09-07" _write_partition(daily, day, ["600001.SH", "600002.SH"]) raw_path = daily / f"date={day}" / "part.parquet" raw = pl.read_parquet(raw_path).with_columns( pl.lit(date.fromisoformat(day)).alias("date"), pl.lit(1.0).alias("low"), *[ pl.when(pl.col("symbol") == "600002.SH").then(0.0).otherwise(pl.col(c)).alias(c) for c in (["volume", "amount"] if legacy_halt else ["open", "high", "volume", "amount"]) ], ) raw.write_parquet(raw_path) computed = pipeline._select_storage_cols(pipeline.compute_enriched(raw)) assert computed["symbol"].to_list() == ["600001.SH"] target = enriched / f"date={day}" / "part.parquet" target.parent.mkdir(parents=True) computed.write_parquet(target) original = target.read_bytes() for _ in range(2): assert _prune_partial_enriched_partitions(daily, enriched) == [] assert target.read_bytes() == original @pytest.mark.parametrize("actual", [["a"], ["a", "a"], ["a", "extra"], ["a", "extra", "other"]]) def test_missing_active_symbol_is_not_hidden_by_counts(tmp_path, actual): daily = tmp_path / "daily" enriched = tmp_path / "enriched" _write_partition(daily, "2026-09-07", ["a", "b"]) _write_partition(enriched, "2026-09-07", actual) assert _prune_partial_enriched_partitions(daily, enriched) == ["2026-09-07"] def test_duplicate_daily_rows_do_not_require_duplicate_enriched_rows(tmp_path): daily = tmp_path / "daily" enriched = tmp_path / "enriched" _write_partition(daily, "2026-09-07", ["a", "a", "b"]) _write_partition(enriched, "2026-09-07", ["a", "b"]) assert _prune_partial_enriched_partitions(daily, enriched) == [] @pytest.mark.parametrize("missing", ["symbol", "open", "high"]) def test_missing_daily_required_column_does_not_delete(tmp_path, missing): daily = tmp_path / "daily" enriched = tmp_path / "enriched" _write_partition(daily, "2026-09-07", ["a", "b"]) _write_partition(enriched, "2026-09-07", ["a"]) raw_path = daily / "date=2026-09-07" / "part.parquet" pl.read_parquet(raw_path).drop(missing).write_parquet(raw_path) assert _prune_partial_enriched_partitions(daily, enriched) == [] assert (enriched / "date=2026-09-07" / "part.parquet").exists() @pytest.mark.parametrize("broken_kind", ["daily", "enriched"]) def test_unreadable_partition_does_not_delete(tmp_path, broken_kind): daily = tmp_path / "daily" enriched = tmp_path / "enriched" _write_partition(daily, "2026-09-07", ["a", "b"]) _write_partition(enriched, "2026-09-07", ["a"]) (tmp_path / broken_kind / "date=2026-09-07" / "broken.parquet").write_bytes(b"broken") assert _prune_partial_enriched_partitions(daily, enriched) == [] assert (enriched / "date=2026-09-07" / "part.parquet").exists() def test_partition_files_are_checked_together(tmp_path): daily = tmp_path / "daily" enriched = tmp_path / "enriched" _write_partition(daily, "2026-09-07", ["a", "b"]) _write_partition(enriched, "2026-09-07", ["a"]) target = enriched / "date=2026-09-07" / "second.parquet" pl.DataFrame({"symbol": ["b"]}).write_parquet(target) assert _prune_partial_enriched_partitions(daily, enriched) == [] @pytest.mark.parametrize("missing", ["volume", "amount"]) def test_legacy_daily_without_optional_halt_column(tmp_path, missing): daily = tmp_path / "daily" enriched = tmp_path / "enriched" _write_partition(daily, "2026-09-07", ["a", "b"]) _write_partition(enriched, "2026-09-07", ["a", "b"]) path = daily / "date=2026-09-07" / "part.parquet" pl.read_parquet(path).drop(missing).write_parquet(path) assert _prune_partial_enriched_partitions(daily, enriched) == [] def test_all_halted_partition_does_not_require_active_rows(tmp_path): daily = tmp_path / "daily" enriched = tmp_path / "enriched" _write_partition(daily, "2026-09-07", ["a", "b"]) _write_partition(enriched, "2026-09-07", ["a"]) path = daily / "date=2026-09-07" / "part.parquet" pl.read_parquet(path).with_columns(pl.lit(0.0).alias("open"), pl.lit(0.0).alias("high")).write_parquet(path) assert _prune_partial_enriched_partitions(daily, enriched) == [] def test_pruned_interior_date_is_rebuilt_without_new_daily_or_factors(tmp_path, monkeypatch): daily = tmp_path / "kline_daily" enriched = tmp_path / "kline_daily_enriched" dates = ["2026-09-01", "2026-09-02", "2026-09-03"] for day in dates: _write_partition(daily, day, ["a", "b"]) _write_partition(enriched, day, ["a"] if day == dates[1] else ["a", "b"]) monkeypatch.setattr(daily_pipeline.settings, "data_dir", tmp_path) monkeypatch.setattr(preferences, "load", lambda: { "pipeline_pull_a_share": False, "pipeline_regime_enabled": False, "minute_sync_enabled": False, "adj_factor_provider": "tickflow", }) monkeypatch.setattr(daily_pipeline.instrument_sync, "sync_instruments", lambda *_: 0) monkeypatch.setattr(daily_pipeline, "_resolve_universe", lambda *_: []) monkeypatch.setattr(daily_pipeline, "_invalidate", lambda *_: None) monkeypatch.setattr(daily_pipeline, "_refresh_single_view", lambda *_: None) monkeypatch.setattr(daily_pipeline, "_refresh_views", lambda *_: None) monkeypatch.setattr(data_integrity, "scan_recent_integrity", lambda *_, **__: []) calls = [] def rebuild(**kwargs): calls.append(kwargs) assert kwargs["new_dates_only"] is True assert kwargs["symbols"] is None _write_partition(enriched, dates[1], ["a", "b"]) return 2 monkeypatch.setattr(daily_pipeline, "run_pipeline", rebuild) repo = SimpleNamespace(store=SimpleNamespace(data_dir=tmp_path), latest_daily_date=lambda: date.fromisoformat(dates[-1])) daily_pipeline.run_now(repo, CapabilitySet(set())) assert len(calls) == 1 assert pl.read_parquet(enriched / f"date={dates[1]}" / "part.parquet")["symbol"].to_list() == ["a", "b"] daily_pipeline.run_now(repo, CapabilitySet(set())) assert len(calls) == 1