feat(backtest): 实现国际化支持并优化批量回测输出

- 在批量回测中引入国际化文本显示，替换硬编码的中文字符串
- 添加 i18n 模块导入并在批处理和导出模块中使用翻译函数
- 重构导出模块中的打印消息为国际化格式
- 优化批量回测进度和汇总信息的国际化显示

Author: kay-ou

src/simtradelab/backtest/batch.py

@@ -16,6 +16,7 @@
 
 from simtradelab.backtest.config import BacktestConfig
 from simtradelab.backtest.runner import BacktestRunner
+from simtradelab.i18n import t
 
 
 class BatchConfig(BaseModel):
@@ -45,7 +46,7 @@ def run(self, batch_config: BatchConfig) -> list[dict]:
         results = []
         total = len(batch_config.date_ranges)
         for i, (start, end) in enumerate(batch_config.date_ranges, 1):
-            print(f"\n[{i}/{total}] 回测区间: {start} → {end}")
+            print(t("batch.period", i=i, total=total, start=start, end=end))
             config = BacktestConfig(
                 strategy_name=batch_config.strategy_name,
                 start_date=start,
@@ -91,7 +92,7 @@ def summary(self, results: list[dict]) -> pd.DataFrame:
             rows.append(row)
         df = pd.DataFrame(rows)
         print("\n" + "=" * 70)
-        print("批量回测汇总")
+        print(t("batch.summary"))
         print("=" * 70)
         print(df.to_string(index=False))
         print("=" * 70 + "\n")

src/simtradelab/backtest/config.py

@@ -1,111 +1,117 @@
-# -*- coding: utf-8 -*-
-# SPDX-License-Identifier: AGPL-3.0-or-later
-# Copyright (c) 2025 Kay
-#
-# This file is part of SimTradeLab, dual-licensed under AGPL-3.0 and a
-# commercial license. See LICENSE-COMMERCIAL.md or contact kayou@duck.com
-#
-"""
-回测配置类
-"""
-
-
-from __future__ import annotations
-
-from datetime import datetime
-from pathlib import Path
-from typing import Optional
-import pandas as pd
-from pydantic import BaseModel, Field, field_validator, model_validator
-
-
-def _default_data_path():
-    """获取默认数据路径"""
-    from ..utils.paths import DATA_PATH
-    return str(DATA_PATH)
-
-
-def _default_strategies_path():
-    """获取默认策略路径"""
-    from ..utils.paths import STRATEGIES_PATH
-    return str(STRATEGIES_PATH)
-
-
-class BacktestConfig(BaseModel):
-    """回测配置参数"""
-
-    strategy_name: str
-    start_date: str | pd.Timestamp
-    end_date: str | pd.Timestamp
-    data_path: str = Field(default_factory=_default_data_path)
-    strategies_path: str = Field(default_factory=_default_strategies_path)
-    initial_capital: float = Field(default=100000.0, gt=0, description="初始资金必须大于0")
-    use_data_server: bool = True
-
-    # 回测频率配置
-    frequency: str = Field(default='1d', description="回测频率: '1d'日线, '1m'分钟线")
-
-    # 基准配置
-    benchmark_code: str = Field(default='000300.SS', description="基准代码")
-
-    # 性能优化配置
-    enable_multiprocessing: bool = True
-    num_workers: Optional[int] = Field(default=None, ge=1, description="多进程worker数量")
-    enable_charts: bool = True
-    enable_logging: bool = True
-    enable_export: bool = False
-
-    # 沙箱模式：True=限制import和builtins（Ptrade兼容），False=本地开发无限制
-    sandbox: bool = True
-
-    # T+1交易限制：True=A股模式（当日买入不可卖），False=T+0模式（ETF/美股）
-    t_plus_1: bool = True
-
-    # 优化模式：跳过策略验证/数据分析/日志配置（由优化器管理）
-    optimization_mode: bool = False
-
-    model_config = {"arbitrary_types_allowed": True}
-
-    @field_validator('start_date', 'end_date', mode='before')
-    @classmethod
-    def convert_to_timestamp(cls, v) -> pd.Timestamp:
-        """转换日期为pd.Timestamp"""
-        if isinstance(v, pd.Timestamp):
-            return v
-        return pd.Timestamp(v)
-
-    @model_validator(mode='after')
-    def validate_date_range(self):
-        """验证日期范围
-
-        此时start_date和end_date已被field_validator转换为pd.Timestamp
-        """
-        if self.start_date >= self.end_date:  # type: ignore
-            raise ValueError("start_date必须早于end_date")
-        return self
-
-    @property
-    def strategy_path(self) -> str:
-        """策略文件完整路径"""
-        return str(Path(self.strategies_path) / self.strategy_name / 'backtest.py')
-
-    @property
-    def log_dir(self) -> str:
-        """日志目录"""
-        return str(Path(self.strategies_path) / self.strategy_name / 'stats')
-
-    def get_log_filename(self) -> str:
-        """生成日志文件名"""
-        name = 'backtest_{}_{}_{}.log'.format(
-            self.start_date.strftime("%y%m%d"),  # type: ignore
-            self.end_date.strftime("%y%m%d"),  # type: ignore
-            datetime.now().strftime("%y%m%d_%H%M%S"))
-        return str(Path(self.log_dir) / name)
-
-    def get_chart_filename(self) -> str:
-        """生成图表文件名"""
-        name = 'backtest_{}_{}_{}.png'.format(
-            self.start_date.strftime("%y%m%d"),  # type: ignore
-            self.end_date.strftime("%y%m%d"),  # type: ignore
-            datetime.now().strftime("%y%m%d_%H%M%S"))
-        return str(Path(self.log_dir) / name)
+# -*- coding: utf-8 -*-
+# SPDX-License-Identifier: AGPL-3.0-or-later
+# Copyright (c) 2025 Kay
+#
+# This file is part of SimTradeLab, dual-licensed under AGPL-3.0 and a
+# commercial license. See LICENSE-COMMERCIAL.md or contact kayou@duck.com
+#
+"""
+回测配置类
+"""
+
+
+from __future__ import annotations
+
+from datetime import datetime
+from pathlib import Path
+from typing import Optional
+import pandas as pd
+from pydantic import BaseModel, Field, field_validator, model_validator
+
+
+def _default_data_path():
+    """获取默认数据路径"""
+    from ..utils.paths import DATA_PATH
+    return str(DATA_PATH)
+
+
+def _default_strategies_path():
+    """获取默认策略路径"""
+    from ..utils.paths import STRATEGIES_PATH
+    return str(STRATEGIES_PATH)
+
+
+class BacktestConfig(BaseModel):
+    """回测配置参数"""
+
+    strategy_name: str
+    start_date: str | pd.Timestamp
+    end_date: str | pd.Timestamp
+    data_path: str = Field(default_factory=_default_data_path)
+    strategies_path: str = Field(default_factory=_default_strategies_path)
+    initial_capital: float = Field(default=100000.0, gt=0, description="初始资金必须大于0")
+    use_data_server: bool = True
+
+    # 回测频率配置
+    frequency: str = Field(default='1d', description="回测频率: '1d'日线, '1m'分钟线")
+
+    # 基准配置
+    benchmark_code: str = Field(default='', description="基准代码，空串时使用市场默认基准")
+
+    # 性能优化配置
+    enable_multiprocessing: bool = True
+    num_workers: Optional[int] = Field(default=None, ge=1, description="多进程worker数量")
+    enable_charts: bool = True
+    enable_logging: bool = True
+    enable_export: bool = False
+
+    # 沙箱模式：True=限制import和builtins（Ptrade兼容），False=本地开发无限制
+    sandbox: bool = True
+
+    # 市场选择: CN=A股, US=美股
+    market: str = Field(default="CN", description="市场代码")
+
+    # T+1 覆盖：None=使用市场默认（CN=True, US=False），显式值覆盖市场默认
+    t_plus_1: Optional[bool] = None
+
+    # 优化模式：跳过策略验证/数据分析/日志配置（由优化器管理）
+    optimization_mode: bool = False
+
+    # 语言：zh=中文, en=英文
+    locale: str = Field(default="zh", description="语言")
+
+    model_config = {"arbitrary_types_allowed": True}
+
+    @field_validator('start_date', 'end_date', mode='before')
+    @classmethod
+    def convert_to_timestamp(cls, v) -> pd.Timestamp:
+        """转换日期为pd.Timestamp"""
+        if isinstance(v, pd.Timestamp):
+            return v
+        return pd.Timestamp(v)
+
+    @model_validator(mode='after')
+    def validate_date_range(self):
+        """验证日期范围
+
+        此时start_date和end_date已被field_validator转换为pd.Timestamp
+        """
+        if self.start_date >= self.end_date:  # type: ignore
+            raise ValueError("start_date必须早于end_date")
+        return self
+
+    @property
+    def strategy_path(self) -> str:
+        """策略文件完整路径"""
+        return str(Path(self.strategies_path) / self.strategy_name / 'backtest.py')
+
+    @property
+    def log_dir(self) -> str:
+        """日志目录"""
+        return str(Path(self.strategies_path) / self.strategy_name / 'stats')
+
+    def get_log_filename(self) -> str:
+        """生成日志文件名"""
+        name = 'backtest_{}_{}_{}.log'.format(
+            self.start_date.strftime("%y%m%d"),  # type: ignore
+            self.end_date.strftime("%y%m%d"),  # type: ignore
+            datetime.now().strftime("%y%m%d_%H%M%S"))
+        return str(Path(self.log_dir) / name)
+
+    def get_chart_filename(self) -> str:
+        """生成图表文件名"""
+        name = 'backtest_{}_{}_{}.png'.format(
+            self.start_date.strftime("%y%m%d"),  # type: ignore
+            self.end_date.strftime("%y%m%d"),  # type: ignore
+            datetime.now().strftime("%y%m%d_%H%M%S"))
+        return str(Path(self.log_dir) / name)