fix(mining): 市场环境数据缺失时挖掘启动即失败并前置提示

用户在未计算市场环境的数据目录跑挖掘: 搜索阶段的 regime 评估被
evaluator 软捕获成 error 字符串, 整轮嵌套搜索照常跑完后, artifacts
阶段的 _regime_date_count 硬抛 ValueError, 计算全部浪费且只在最后
给出指引。

- mining_runtime: require_regime 时在因子面板就绪后立即用与
  artifacts 相同的 fold 口径预构建一次 regime mask (required 区间取
  全部外层 fold 测试窗并集), 数据为空/覆盖不完整即刻带指引消息终止
- MiningWorkbench: 启动前查询 /api/regime/latest, 未计算时侧栏显示
  警告横幅(直达数据页)并在开始时 toast 阻止, 避免产生必败的运行记录
- 测试: 缺数据 fail-fast / 覆盖充足通过 / fold 窗口内缺口报错 三例

backend/app/backtest/mining_runtime.py

@@ -522,6 +522,10 @@ def run_mining_runtime(
         "factors": len(request.factor_names),
     })
 
+    if request.require_regime:
+        emit({"phase": "panel", "label": "校验市场环境数据", "done": 0, "total": 1})
+        _validate_regime_availability(panel, request, data_dir)
+
     _raise_if_cancelled(cancel_check)
     start_phase()
     matrix_started = time.perf_counter()
@@ -1309,6 +1313,32 @@ def _fold_row(
     }
 
 
+def _validate_regime_availability(
+    panel: pl.DataFrame,
+    request: RuntimeRequest,
+    data_dir: Path,
+) -> None:
+    """搜索开始前 fail-fast 校验市场环境数据。
+
+    环境分组评估 (strong/range/weak) 依赖 T-1 市场环境序列; 数据为空或覆盖不足时,
+    若拖到 artifacts 阶段才在 _regime_date_count 中抛错, 整轮嵌套搜索的计算全部浪费。
+    这里用与 artifacts 相同的 fold 口径 (panel 标签) 预先构建一次 mask:
+    required 区间取所有外层 fold 测试窗的并集, 覆盖后续每个 fold 单独调用的要求,
+    任何 ValueError (数据为空 / 覆盖不完整) 立即带指引消息终止运行。
+    """
+    labels = _date_labels(panel)
+    nested = generate_nested_folds(labels, request.mining_request.validation)
+    if not nested:
+        return
+    StrategyBacktestService._build_regime_mask(
+        labels,
+        _REGIME_FILTERS["strong"],
+        data_dir,
+        required_start=date.fromisoformat(nested[0].outer.test_start),
+        required_end=date.fromisoformat(nested[-1].outer.test_end),
+    )
+
+
 def _regime_date_count(
     panel: pl.DataFrame,
     validation_fold,

backend/tests/backtest/test_mining_runtime.py

@@ -6,7 +6,11 @@ from types import SimpleNamespace
 import polars as pl
 import pytest
 
-from app.backtest.mining import MiningCandidate
+from app.backtest.mining import (
+    MiningCandidate,
+    NestedValidationConfig,
+    generate_nested_folds,
+)
 from app.backtest.mining_runtime import (
     TrainingMetricProvider,
     _decode_runtime_request,
@@ -14,6 +18,7 @@ from app.backtest.mining_runtime import (
     _prepare_base_market,
     _rank_artifact_candidates,
     _regime_date_count,
+    _validate_regime_availability,
     attach_single_forward_return,
 )
 from app.services import regime_builder
@@ -312,3 +317,76 @@ def test_regime_date_count_uses_t_minus_one_market_labels(tmp_path) -> None:
 
     assert _regime_date_count(panel, fold, "strong", tmp_path) == 2
     assert _regime_date_count(panel, fold, "weak", tmp_path) == 1
+
+
+def _small_validation() -> NestedValidationConfig:
+    return NestedValidationConfig(
+        outer_train_bars=10,
+        outer_test_bars=3,
+        outer_step_bars=5,
+        inner_train_bars=5,
+        inner_test_bars=2,
+        inner_step_bars=3,
+        purge_bars=1,
+        embargo_bars=1,
+        min_train_bars=3,
+    )
+
+
+def _regime_panel(n: int = 20) -> tuple[list[date], pl.DataFrame]:
+    labels = [date(2024, 1, 2) + timedelta(days=offset) for offset in range(n)]
+    return labels, pl.DataFrame({"date": labels})
+
+
+def _upsert_regime(tmp_path, labels, states: list[str]) -> None:
+    regime_builder.upsert_regime_history(tmp_path, pl.DataFrame({
+        "date": labels,
+        "state": states,
+        "score": [50] * len(labels),
+    }))
+
+
+def test_validate_regime_availability_fails_fast_when_regime_data_missing(
+    tmp_path,
+) -> None:
+    labels, panel = _regime_panel()
+    request = SimpleNamespace(
+        mining_request=SimpleNamespace(validation=_small_validation()),
+    )
+
+    with pytest.raises(ValueError, match="市场环境数据为空"):
+        _validate_regime_availability(panel, request, tmp_path)
+
+
+def test_validate_regime_availability_passes_when_regime_covers_fold_windows(
+    tmp_path,
+) -> None:
+    labels, panel = _regime_panel()
+    _upsert_regime(
+        tmp_path,
+        labels[:-1],
+        ["range"] * (len(labels) - 1),
+    )
+    request = SimpleNamespace(
+        mining_request=SimpleNamespace(validation=_small_validation()),
+    )
+
+    _validate_regime_availability(panel, request, tmp_path)
+
+
+def test_validate_regime_availability_reports_coverage_gaps_in_fold_windows(
+    tmp_path,
+) -> None:
+    labels, panel = _regime_panel()
+    nested = generate_nested_folds(
+        [value.isoformat() for value in labels], _small_validation()
+    )
+    gap_date = date.fromisoformat(nested[0].outer.test_start) + timedelta(days=1)
+    covered = [value for value in labels if value != gap_date]
+    _upsert_regime(tmp_path, covered, ["range"] * len(covered))
+    request = SimpleNamespace(
+        mining_request=SimpleNamespace(validation=_small_validation()),
+    )
+
+    with pytest.raises(ValueError, match="市场环境数据覆盖不完整"):
+        _validate_regime_availability(panel, request, tmp_path)