feat(selection): implement gold brick resonance strategy with evaluation and logging enhancements

zhixing-server/src/zhixing_server/modules/selection/domain/runs.py

@@ -8,12 +8,17 @@ from datetime import date, datetime
 from decimal import Decimal
 from typing import Literal, Protocol
 
-from .models import SelectionEvaluationStatus, SelectionSignal, StockHistory
+from .models import (
+    SelectionEvaluationStatus,
+    SelectionSignal,
+    SelectionStrategyName,
+    StockHistory,
+)
 from .pattern_scoring import PatternScore
 
 SelectionRunStatus = Literal["running", "success", "partial_success", "failed"]
 SelectionRunItemStatus = SelectionEvaluationStatus
-SelectionSignalCategoryFilter = Literal["pullback", "oversold", "original"]
+SelectionSignalCategoryFilter = Literal["pullback", "oversold", "original", "resonance"]
 SelectionResultSort = Literal["code", "score_desc", "score_asc"]
 
 
@@ -66,7 +71,7 @@ class SelectionRun:
     """A current execution attempt and its materialized result rows."""
 
     id: str
-    strategy: Literal["zhixing_b1"]
+    strategy: SelectionStrategyName
     target_trade_date: date
     market_sync_batch_id: str | None
     status: SelectionRunStatus
@@ -107,7 +112,7 @@ class SelectionRunStore(Protocol):
 
     def prepare_run(
         self,
-        strategy: Literal["zhixing_b1"],
+        strategy: SelectionStrategyName,
         target_trade_date: date,
         source: SelectionExecutionSource,
         *,
@@ -138,7 +143,7 @@ class SelectionRunStore(Protocol):
 
     def get_latest_run(
         self,
-        strategy: Literal["zhixing_b1"],
+        strategy: SelectionStrategyName,
         target_trade_date: date | None = None,
         *,
         query: SelectionResultQuery | None = None,