#!/usr/bin/python # -*- coding: utf8 -*- # cp936 # # The MIT License (MIT) # # Copyright (c) 2010-2017 fasiondog # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in all # copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. __copyright__ = """ MIT License Copyright (c) 2010-2017 fasiondog Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ import urllib import sys import os import configparser from .extend import * __version__ = getVersion() #重定向C++ stdout/stderr输出至python #iodog = ostream_redirect() iodog = OstreamRedirect() iodog.open() # ============================================================================== # 引入扯线木偶 # ============================================================================== # Puppet是一套以同花顺交易客户端为核心的完整的闭环实盘交易系统框架。 # 来自:"睿瞳深邃(https://github.com/Raytone-D" 感谢睿瞳深邃的大度共享 :-) # 可以用:tm.regBroker(crtRB(Puppet())) 的方式注册进tm实例,实现实盘下单 if sys.platform == 'win32': from .puppet import * # ============================================================================== # # 读取配置信息,并初始化 # # ============================================================================== config_file = './test_data/hikyuu_win.ini' #config_file = os.path.expanduser('~') + "/.hikyuu/hikyuu.ini" if not os.path.exists(config_file): # 检查老版本配置是否存在,如果存在可继续使用,否则异常终止 data_config_file = os.path.expanduser('~') + "/.hikyuu/data_dir.ini" data_config = configparser.ConfigParser() data_config.read(data_config_file) data_dir = data_config['data_dir']['data_dir'] if sys.platform == 'win32': config_file = data_dir + "\\hikyuu_win.ini" else: config_file = data_dir + "/hikyuu_linux.ini" if not os.path.exists(config_file): raise ("未找到配置文件,请先使用数据导入工具导入数据(将自动生成配置文件)!!!") ini = configparser.ConfigParser() ini.read(config_file) hku_param = Parameter() hku_param.set("tmpdir", ini.get('hikyuu', 'tmpdir')) if ini.has_option('hikyuu', 'logger'): hku_param.set("logger", ini['hikyuu']['logger']) base_param = Parameter() base_info_config = ini.options('baseinfo') for p in base_info_config: base_param.set(p, ini.get('baseinfo', p)) block_param = Parameter() block_config = ini.options('block') for p in block_config: block_param.set(p, ini.get('block', p)) preload_param = Parameter() preload_config = ini.options('preload') for p in preload_config: # 注意:proload参数是布尔类型 preload_param.set(p, ini.getboolean('preload', p)) kdata_param = Parameter() kdata_config = ini.options('kdata') for p in kdata_config: kdata_param.set(p, ini.get('kdata', p)) set_log_level(LOG_LEVEL.TRACE) sm = StockManager.instance() sm.init(base_param, block_param, kdata_param, preload_param, hku_param) set_log_level(LOG_LEVEL.WARN) # ============================================================================== # # 引入blocka、blocksh、blocksz、blockg全局变量,便于交互式环境下使用 # # ============================================================================== blocka = Block("A", "ALL") for s in sm: if s.type in (constant.STOCKTYPE_A, constant.STOCKTYPE_GEM): blocka.add(s) zsbk_a = blocka blocksh = Block("A", "SH") for s in blocka: if s.market == "SH": blocksh.add(s) zsbk_sh = blocksh blocksz = Block("A", "SZ") for s in blocka: if s.market == "SZ": blocksz.add(s) zsbk_sz = blocksz blockg = Block("G", "创业板") for s in sm: if s.type == constant.STOCKTYPE_GEM: blockg.add(s) zsbk_cyb = blockg blockzxb = Block("A", "中小板") for s in blocksz: if s.code[:3] == "002": blockzxb.add(s) zsbk_zxb = blockzxb zsbk_sz50 = sm.getBlock("指数板块", "上证50") zsbk_sz180 = sm.getBlock("指数板块", "上证180") zsbk_hs300 = sm.getBlock("指数板块", "沪深300") zsbk_zz100 = sm.getBlock("指数板块", "沪深300") # ------------------------------------------------------------------ # 重定义Query # ------------------------------------------------------------------ Query.INDEX = Query.QueryType.INDEX Query.DATE = Query.QueryType.DATE Query.DAY = "DAY" Query.WEEK = "WEEK" Query.MONTH = "MONTH" Query.QUARTER = "QUARTER" Query.HALFYEAR = "HALFYEAR" Query.YEAR = "YEAR" Query.MIN = "MIN" Query.MIN5 = "MIN5" Query.MIN15 = "MIN15" Query.MIN30 = "MIN30" Query.MIN60 = "MIN60" Query.HOUR2 = "HOUR2" Query.HOUR4 = "HOUR4" Query.HOUR6 = "HOUR6" Query.HOUR12 = "HOUR12" Query.NO_RECOVER = Query.RecoverType.NO_RECOVER Query.FORWARD = Query.RecoverType.FORWARD Query.BACKWARD = Query.RecoverType.BACKWARD Query.EQUAL_FORWARD = Query.RecoverType.EQUAL_FORWARD Query.EQUAL_BACKWARD = Query.RecoverType.EQUAL_BACKWARD # ============================================================================== # # 设置关键类型简称 # # ============================================================================== O = OPEN() C = CLOSE() H = HIGH() L = LOW() A = AMO() V = VOL() D = Datetime K = None Q = Query def set_global_context(stk, query): """设置全局的 context :param Stock stk: 指定的全局Stock :param Query query: 指定的查询条件 """ global K, O, C, H, L, A, V K = stk.getKData(query) O.setContext(K) C.setContext(K) H.setContext(K) L.setContext(K) A.setContext(K) V.setContext(K) def get_global_context(): """获取当前的全局上下文 :rtype: KData """ return C.getContext() set_global_context(sm['sh000001'], Query(-150)) # ============================================================================== # # 设置默认绘图引擎 # # ============================================================================== from .draw import * use_draw_engine('matplotlib') # ============================================================================== # # 粗略的选股函数 # # ============================================================================== def select(cond, start=Datetime(201801010000), end=Datetime.now(), print_out=True): """ 示例: #选出涨停股 C = CLOSE() x = select(C / REF(C, 1) - 1 >= 0.0995)) :param Indicator cond: 条件指标 :param Datetime start: 起始日期 :param Datetime end: 结束日期 :param bool print_out: 打印选中的股票 :rtype: 选中的股票列表 """ q = QueryByDate(start, end) d = sm.getTradingCalendar(q, 'SH') if len(d) == 0: return result = [] for s in blocka: if not s.valid: continue q = QueryByDate(start, end) k = s.getKData(q) cond.setContext(k) if len(cond) > 0 and cond[-1] != constant.null_price and cond[-1] > 0 and len(k) > 0 and k[ -1].datetime == d[-1]: result.append(s) if print_out: print(d[-1], s) return result # ============================================================================== # # 增加临时的实时数据更新函数 realtimeUpdate # # ============================================================================== def UpdateOneRealtimeRecord_from_sina(tmpstr): try: if len(tmpstr) > 3 and tmpstr[:3] == 'var': a = tmpstr.split(',') if len(a) < 9: return open, close, high, low = float(a[1]), float(a[3]), float(a[4]), float(a[5]) transamount = float(a[9]) transcount = float(a[8]) d = Datetime(a[-3] + " 00") temp = (open, high, low, close) if 0 in temp: return stockstr = a[0].split('=') stock = sm[stockstr[0][-8:]] record = KRecord() record.datetime = d record.open = open record.high = high record.low = low record.close = close record.amount = transamount record.volume = transcount / 100 stock.realtimeUpdate(record) except Exception as e: print(tmpstr) print(e) def UpdateOneRealtimeRecord_from_qq(tmpstr): try: if len(tmpstr) > 3 and tmpstr[:2] == 'v_': a = tmpstr.split('~') if len(a) < 9: return open, close, high, low = float(a[5]), float(a[3]), float(a[33]), float(a[34]) transamount = float(a[36]) transcount = float(a[37]) d = Datetime(int(a[30][:8] + '0000')) temp = (open, high, low, close) if 0 in temp: return stockstr = a[0].split('=') stock = sm[stockstr[0][-8:]] record = KRecord() record.datetime = d record.open = open record.high = high record.low = low record.close = close record.amount = transamount record.volume = transcount / 100 stock.realtimeUpdate(record) except Exception as e: print(tmpstr) print(e) def realtimePartUpdate_from_sina(queryStr): result = urllib.request.urlopen(queryStr).read() try: result = result.decode('gbk') except Exception as e: print(result) print(e) return result = result.split('\n') for tmpstr in result: UpdateOneRealtimeRecord_from_sina(tmpstr) def realtimePartUpdate_from_qq(queryStr): result = urllib.request.urlopen(queryStr).read() try: result = result.decode('gbk') except Exception as e: print(result) print(e) return result = result.split('\n') for tmpstr in result: UpdateOneRealtimeRecord_from_qq(tmpstr) def realtimeUpdate_from_sina_qq(source): if source == 'sina': queryStr = "http://hq.sinajs.cn/list=" update_func = realtimePartUpdate_from_sina max_size = 140 elif source == 'qq': queryStr = "http://qt.gtimg.cn/q=" update_func = realtimePartUpdate_from_qq max_size = 60 else: print('Not support!') return count = 0 urls = [] tmpstr = queryStr for stock in sm: if stock.valid and stock.type in ( constant.STOCKTYPE_A, constant.STOCKTYPE_INDEX, constant.STOCKTYPE_ETF, constant.STOCKTYPE_GEM ): tmpstr += ("%s,") % (stock.market_code.lower()) count = count + 1 if count >= max_size: # urls.append(tmpstr) update_func(tmpstr) count = 0 tmpstr = queryStr if tmpstr != queryStr: # urls.append(tmpstr) update_func(tmpstr) # 不用并行,防止过快,ip被网站屏蔽 #from multiprocessing import Pool #from multiprocessing.dummy import Pool as ThreadPool #pool = ThreadPool() # if source == 'sina': # pool.map(realtimePartUpdate_from_sina, urls) # else: # pool.map(realtimePartUpdate_from_qq, urls) # pool.close() # pool.join() def realtimeUpdate_from_tushare(): import tushare as ts # 更新股票行情 df = ts.get_today_all() for i in range(len(df)): if df.ix[i, 'open'] == 0: continue # 停牌 code = df.ix[i][0] stock = getStock('sh' + code) if stock.isNull() == True or stock.type != constant.STOCKTYPE_A: stock = getStock('sz' + code) if stock.isNull() == True: continue record = KRecord() record.open = df.ix[i, 'open'] record.high = df.ix[i, 'high'] record.lowe = df.ix[i, 'low'] record.close = df.ix[i, 'trade'] record.amount = float(df.ix[i, 'amount']) record.volume = float(df.ix[i, 'volume']) from datetime import date d = date.today() record.datetime = Datetime(d) stock.realtimeUpdate(record) # 更新指数行情 df = ts.get_index() for i in range(len(df)): code = df.ix[i][0] stock = getStock('sh' + code) if stock.isNull() == True or stock.type != constant.STOCKTYPE_INDEX: stock = getStock('sz' + code) if stock.isNull() == True: continue total = stock.getCount(Query.DAY) if total == 0: continue last_record = stock.getKRecord(total - 1) record = KRecord() record.open = df.ix[i, 'open'] record.high = df.ix[i, 'high'] record.low = df.ix[i, 'low'] record.close = df.ix[i, 'close'] record.volume = float(df.ix[i, 'volume']) record.amount = float(df.ix[i, 'amount']) if ( last_record.close != record.close or last_record.high != record.high or last_record.low != record.low or last_record.open != record.open ): from datetime import date d = date.today() record.datetime = Datetime(d) stock.realtimeUpdate(record) def realtimeUpdate_inner(source='tushare'): if source == 'sina' or source == 'qq': realtimeUpdate_from_sina_qq(source) elif source == 'tushare': realtimeUpdate_from_tushare() else: print(source, ' not support!') def realtimeUpdateWrap(): pre_update_time = None def realtimeUpdate_closure(source='tushare', delta=60): """ 更新实时日线数据 参数: source: 数据源('sina' | 'qq' | 'tushare') delta: 更新间隔时间 """ from datetime import timedelta, datetime nonlocal pre_update_time now_update_time = datetime.now() if (pre_update_time is None) or (now_update_time - pre_update_time) > timedelta(0, delta, 0): realtimeUpdate_inner(source) pre_update_time = datetime.now() print("更新完毕!", pre_update_time) else: print("更新间隔小于" + str(delta) + "秒,未更新") print("上次更新时间: ", pre_update_time) return realtimeUpdate_closure realtimeUpdate = realtimeUpdateWrap()