pybroker.log 模块

日志记录模块。

class Logger(scope)

基类：object

用于记录已触发事件信息的类。

参数:

scope -- pybroker.scope.StaticScope.

backtest_executions_loading(count: int)

backtest_executions_start(test_dates: Sequence[datetime64])

calc_bootstrap_metrics_completed()

calc_bootstrap_metrics_start(samples, bars)

debug_buy_shares_exceed_cash(date: datetime64, symbol: str, shares: Decimal, fill_price: Decimal, limit_price: Decimal | None, cash: Decimal, clamped_shares: Decimal)

debug_clear_data_source_cache(cache_dir: str)

debug_clear_indicator_cache(cache_dir: str)

debug_clear_model_cache(cache_dir: str)

debug_compute_indicators(is_parallel: bool)

debug_disable_data_source_cache()

debug_disable_indicator_cache()

debug_disable_model_cache()

debug_enable_data_source_cache(ns: str, cache_dir: str)

debug_enable_indicator_cache(ns: str, cache_dir: str)

debug_enable_model_cache(ns: str, cache_dir: str)

debug_filled_buy_order(date: datetime64, symbol: str, shares: Decimal, fill_price: Decimal, limit_price: Decimal | None)

debug_filled_sell_order(date: datetime64, symbol: str, shares: Decimal, fill_price: Decimal, limit_price: Decimal | None)

debug_get_data_source_cache(cache_key)

debug_get_indicator_cache(cache_key)

debug_get_model_cache(cache_key)

debug_place_buy_order(date: datetime64, symbol: str, shares: Decimal, fill_price: Decimal, limit_price: Decimal | None)

debug_place_sell_order(date: datetime64, symbol: str, shares: Decimal, fill_price: Decimal, limit_price: Decimal | None)

debug_position_limit_reached(symbol: str, pos_type: str, held: int, max_positions: int)

debug_schedule_order(date: datetime64, exec_result)

debug_set_data_source_cache(cache_key)

debug_set_indicator_cache(cache_key)

debug_set_model_cache(cache_key)

debug_timeout_order(date: datetime64, pending_order)

debug_unfilled_buy_order(date: datetime64, symbol: str, shares: Decimal, fill_price: Decimal, limit_price: Decimal | None)

debug_unfilled_sell_order(date: datetime64, symbol: str, shares: Decimal, fill_price: Decimal, limit_price: Decimal | None)

debug_unscheduled_order(exec_result)

disable()

禁用日志记录。

disable_progress_bar()

禁用进度条日志记录。

download_bar_data_completed()

download_bar_data_start()

enable()

启用日志记录。

enable_progress_bar()

启用进度条日志记录。

indicator_data_loading(count: int)

indicator_data_start(ind_syms: Sized)

info_download_bar_data_start(symbols: Iterable[str], start_date: datetime, end_date: datetime, timeframe: str)

info_indicator_data_start(ind_syms: Iterable[IndicatorSymbol])

info_invalidate_data_source_cache()

info_loaded_bar_data(symbols: Iterable[str], start_date: datetime, end_date: datetime, timeframe: str)

info_loaded_indicator_data(ind_syms: Iterable[IndicatorSymbol])

info_loaded_model(model_sym: ModelSymbol)

info_loaded_models(model_syms: Iterable[ModelSymbol])

info_optimize_search_space(hyperparams: Sequence[str])

info_optimize_sequential_trials(sampler: str)

info_train_model_completed(model_sym: ModelSymbol)

info_train_model_start(model_sym: ModelSymbol)

info_train_split_start(model_syms: Iterable[ModelSymbol])

info_walkforward_between_time(between_time: tuple[str, str])

info_walkforward_on_days(days: tuple[int])

loaded_bar_data()

loaded_indicator_data()

loaded_models()

optimize_start(n_trials: int, sampler: str, *, grid_size: int | None = None, windows: int = 1)

train_split_completed()

train_split_start(train_dates: Sequence[datetime64])

walkforward_completed()

walkforward_start(start_date: datetime, end_date: datetime)

warn_set_model_cache_failed(cache_key, error)