mirror of
https://gitee.com/fasiondog/hikyuu.git
synced 2024-12-05 05:17:47 +08:00
165 lines
6.6 KiB
C++
165 lines
6.6 KiB
C++
/*
|
||
* _StockManager.cpp
|
||
*
|
||
* Created on: 2011-12-4
|
||
* Author: fasiondog
|
||
*/
|
||
|
||
#include <hikyuu/StockManager.h>
|
||
#include "pybind_utils.h"
|
||
|
||
using namespace hku;
|
||
namespace py = pybind11;
|
||
|
||
void export_StockManager(py::module& m) {
|
||
py::class_<StockManager>(m, "StockManager", "证券信息管理类")
|
||
.def_static("instance", &StockManager::instance, py::return_value_policy::reference,
|
||
"获取StockManager单例实例")
|
||
|
||
.def(
|
||
"init", &StockManager::init, py::arg("base_info_param"), py::arg("block_param"),
|
||
py::arg("kdata_param"), py::arg("preload_param"), py::arg("hikyuu_param"),
|
||
py::arg("context") = StrategyContext({"all"}),
|
||
R"(init(self, base_info_param, block_param, kdata_param, preload_param, hikyuu_param, context)
|
||
|
||
初始化函数,必须在程序入口调用
|
||
|
||
:param base_info_param 基础信息驱动参数
|
||
param block_param 板块信息驱动参数
|
||
param kdata_param K线数据驱动参数
|
||
param preload_param 预加载参数
|
||
param hikyuu_param 其他参数
|
||
param StrategyContext context 策略上下文, 默认加载全部证券)")
|
||
|
||
.def("reload", &StockManager::reload, "重新加载所有证券数据")
|
||
|
||
.def("tmpdir", &StockManager::tmpdir, R"(tmpdir(self) -> str
|
||
|
||
获取用于保存零时变量等的临时目录,如未配置则为当前目录 由m_config中的“tmpdir”指定)")
|
||
|
||
.def("datadir", &StockManager::datadir, R"(datadir(self) -> str
|
||
|
||
获取财务数据存放路径)")
|
||
|
||
.def("get_base_info_parameter", &StockManager::getBaseInfoDriverParameter,
|
||
py::return_value_policy::copy, "获取当前基础信息驱动参数")
|
||
.def("get_block_parameter", &StockManager::getBlockDriverParameter,
|
||
py::return_value_policy::copy, "获取当前板块信息驱动参数")
|
||
.def("get_kdata_parameter", &StockManager::getKDataDriverParameter,
|
||
py::return_value_policy::copy, "获取当前K线数据驱动参数")
|
||
.def("get_preload_parameter", &StockManager::getPreloadParameter,
|
||
py::return_value_policy::copy, "获取当前预加载参数")
|
||
.def("get_hikyuu_parameter", &StockManager::getHikyuuParameter, py::return_value_policy::copy,
|
||
"获取当前其他参数")
|
||
|
||
.def("get_market_list", &StockManager::getAllMarket, R"(get_market_list(self)
|
||
|
||
获取市场简称列表
|
||
|
||
:rtype: StringList)")
|
||
|
||
.def("get_market_info", &StockManager::getMarketInfo, R"(get_market_info(self, market)
|
||
|
||
获取相应的市场信息
|
||
|
||
:param string market: 指定的市场标识(市场简称)
|
||
:return: 相应的市场信息,如果相应的市场信息不存在,则返回Null<MarketInfo>()
|
||
:rtype: MarketInfo)")
|
||
|
||
.def("get_stock_type_info", &StockManager::getStockTypeInfo,
|
||
R"(get_stock_type_info(self, stk_type)
|
||
|
||
获取相应的证券类型详细信息
|
||
|
||
:param int stk_type: 证券类型,参见: :py:data:`constant`
|
||
:return: 对应的证券类型信息,如果不存在,则返回Null<StockTypeInfo>()
|
||
:rtype: StockTypeInfo)")
|
||
|
||
.def("get_stock", &StockManager::getStock, R"(get_stock(self, querystr)
|
||
|
||
根据"市场简称证券代码"获取对应的证券实例
|
||
|
||
:param str querystr: 格式:“市场简称证券代码”,如"sh000001"
|
||
:return: 对应的证券实例,如果实例不存在,则Null<Stock>(),不抛出异常
|
||
:rtype: Stock)")
|
||
|
||
.def("get_block", &StockManager::getBlock, R"(get_block(self, category, name)
|
||
|
||
获取预定义的板块
|
||
|
||
:param str category: 板块分类
|
||
:param str name: 板块名称
|
||
:return: 板块,如找不到返回空Block
|
||
:rtype: Block)")
|
||
|
||
.def("get_block_list", py::overload_cast<>(&StockManager::getBlockList))
|
||
.def("get_block_list", py::overload_cast<const string&>(&StockManager::getBlockList),
|
||
R"(get_block_list(self[, category])
|
||
|
||
获取指定分类的板块列表
|
||
|
||
:param str category: 板块分类
|
||
:return: 板块列表
|
||
:rtype: BlockList)")
|
||
|
||
.def("get_trading_calendar", &StockManager::getTradingCalendar, py::arg("query"),
|
||
py::arg("market") = "SH",
|
||
R"(get_trading_calendar(self, query[, market='SH'])
|
||
|
||
获取指定市场的交易日日历
|
||
|
||
:param KQuery query: Query查询条件
|
||
:param str market: 市场简称
|
||
:return: 日期列表
|
||
:rtype: DatetimeList)")
|
||
|
||
.def("add_temp_csv_stock", &StockManager::addTempCsvStock, py::arg("code"),
|
||
py::arg("day_filename"), py::arg("min_filename"), py::arg("tick") = 0.01,
|
||
py::arg("tick_value") = 0.01, py::arg("precision") = 2, py::arg("min_trade_num") = 1,
|
||
py::arg("max_trade_num") = 1000000,
|
||
R"(add_temp_csv_stock(code, day_filename, min_filename[, tick=0.01, tick_value=0.01,
|
||
precision=2, min_trade_num = 1, max_trade_num=1000000])
|
||
|
||
从CSV文件(K线数据)增加临时的Stock,可用于只有CSV格式的K线数据时,进行临时测试。
|
||
|
||
添加的 stock 对应的 market 为 "TMP", 如需通过 sm 获取,需加入 tmp,如:sm['tmp0001']
|
||
|
||
CSV文件第一行为标题,需含有
|
||
Datetime(或Date、日期)、OPEN(或开盘价)、HIGH(或最高价)、LOW(或最低价)、CLOSE(或收盘价)、AMOUNT(或成交金额)、VOLUME(或VOL、COUNT、成交量)。
|
||
|
||
:param str code: 自行编号的证券代码,不能和已有的Stock相同,否则将返回Null<Stock>
|
||
:param str day_filename: 日线CSV文件名
|
||
:param str min_filename: 分钟线CSV文件名
|
||
:param float tick: 最小跳动量,默认0.01
|
||
:param float tick_value: 最小跳动量价值,默认0.01
|
||
:param int precision: 价格精度,默认2
|
||
:param int min_trade_num: 单笔最小交易量,默认1
|
||
:param int max_trade_num: 单笔最大交易量,默认1000000
|
||
:return: 加入的Stock
|
||
:rtype: Stock)",
|
||
py::keep_alive<1, 2>())
|
||
|
||
.def("remove_temp_csv_stock", &StockManager::removeTempCsvStock,
|
||
R"(remove_temp_csv_stock(self, code)
|
||
|
||
移除增加的临时Stock
|
||
|
||
:param str code: 创建时自定义的编码)")
|
||
|
||
.def("is_holiday", &StockManager::isHoliday, R"(is_holiday(self, d)
|
||
|
||
判断日期是否为节假日
|
||
|
||
:param Datetime d: 待判断的日期)")
|
||
|
||
.def("__len__", &StockManager::size, "返回证券数量")
|
||
.def("__getitem__", &StockManager::getStock, "同 get_stock")
|
||
.def(
|
||
"__iter__",
|
||
[](const StockManager& sm) {
|
||
return py::make_iterator<py::return_value_policy::reference_internal, StockMapIterator,
|
||
StockMapIterator, const Stock&>(sm.begin(), sm.end());
|
||
},
|
||
py::keep_alive<0, 1>());
|
||
}
|