删除天勤接口原型代码
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yangyang
parent
a63cb600b4
commit
62043eab2e
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# encoding: UTF-8
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# 重载sys模块，设置默认字符串编码方式为utf8
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import sys
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reload(sys)
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sys.setdefaultencoding('utf8')
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from vnpy.event import EventEngine
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from vnpy.data.tianqin.vntianqin import TianQinGateway, DataBackEndMemory, DataBackendMongo
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from vnpy.trader.uiQt import createQApp
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class DemoApp(object):
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# ----------------------------------------------------------------------
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def __init__(self):
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"""Constructor"""
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self.eventEngine = EventEngine()
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self.eventEngine.start()
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self.tianqinGateway = TianQinGateway(self.eventEngine, back_end=DataBackEndMemory())
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# mc = MongoClient(MONGO_HOST, MONGO_PORT) # Mongo连接
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# self.tianqinGateway = TianQinGateway(self.eventEngine, back_end=DataBackendMongo(mc))
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def start(self):
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self.tianqinGateway.connect()
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self.tianqinGateway.subscribe_quote(["cu1803", "SR801", "c1801", "IF1708"], self.on_quote_data)
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self.tianqinGateway.subscribe_chart("cu1803", 5, 1000, self.on_chart_data)
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self.tianqinGateway.subscribe_chart("au1712", 0, 1000, self.on_chart_data)
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def on_quote_data(self, ins_id):
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quote = self.tianqinGateway.get_quote(ins_id)
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print("quote_update", ins_id, quote)
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def on_chart_data(self, ins_id, dur_seconds):
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if dur_seconds == 0:
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tick_serial = self.tianqinGateway.get_tick_serial(ins_id)
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print("tick_serial_update", tick_serial)
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else:
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kline_serial = self.tianqinGateway.get_kline_serial(ins_id, dur_seconds)
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print("kline_serial_update", kline_serial)
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#----------------------------------------------------------------------
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if __name__ == '__main__':
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app = DemoApp()
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app.start()
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sys.exit(createQApp().exec_())
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@ -1,312 +0,0 @@
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# encoding: UTF-8
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"""
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对接天勤行情的网关接口，可以提供国内期货的 报价/K线/Tick序列 等数据的实时推送和历史仿真
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使用时需要在本机先启动一个天勤终端进程(http://www.tq18.cn)
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使用示例见：
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"""
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import json
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import threading
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import sortedcontainers
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import tornado.ioloop
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import tornado.iostream
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import tornado.websocket
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from tornado import gen
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from vnpy.event import *
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########################################################################
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class DataBackEndMemory(object):
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def __init__(self):
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self.data = sortedcontainers.SortedDict()
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def input_data_pack(self, pack):
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for data in pack:
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self.data = self._dict_merge(self.data, data)
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def get_tick_serial(self, ins_id):
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return self.data.setdefault("ticks", {}).setdefault(ins_id, {}).get("data", None)
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def get_kline_serial(self, ins_id, duration_seconds):
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dur_id = "%d" % (duration_seconds * 1000000000)
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return self.data.setdefault("klines", {}).setdefault(ins_id, {}).setdefault(dur_id, {}).get("data", None)
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def _dict_merge(self, *objs):
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result = objs[0]
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for obj in objs[1:]:
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result = self._merge_obj(result, obj)
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return result
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def _merge_obj(self, result, obj):
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if not isinstance(result, dict):
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result = {}
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if not isinstance(obj, dict):
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return obj
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for key, value in obj.items():
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if isinstance(value, dict):
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target = result.get(key)
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if isinstance(target, dict):
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self._merge_obj(target, value)
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continue
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result[key] = {}
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self._merge_obj(result[key], value)
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continue
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if value is None:
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result.pop(key, None)
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continue
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result[key] = value
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return result
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class DataBackendMongo(object):
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def __init__(self, mc):
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self.dbClient = mc
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def input_data_pack(self, pack):
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for data in pack:
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for selector, section in data.items():
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if selector == "ticks":
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self.process_tick_data(section)
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elif selector == "klines":
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self.process_kline_data(section)
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def process_tick_data(self, section):
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db_name = "TICK"
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db = self.dbClient[db_name] # 数据库
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for ins_id, serials in section.items():
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cl = db[ins_id]
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for tick_id, tick in serials:
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flt = {'datetime': tick.datetime}
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cl.replace_one(flt, tick, True)
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def get_tick_serial(self, ins_id):
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collection = self.dbClient["TICK"][ins_id]
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cursor = collection.find({}).sort('datetime')
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return cursor
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def process_kline_data(self, section):
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#todo
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pass
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def get_kline_serial(self, ins_id, duration_seconds):
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#todo
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pass
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class TianQinGateway(object):
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"""天勤行情服务"""
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# ----------------------------------------------------------------------
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def __init__(self, eventEngine, back_end=DataBackEndMemory()):
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"""Constructor"""
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self.client = None
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self.back_end = back_end
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self.data = {}
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self.requests = []
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self.eventEngine = eventEngine
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self.eventEngine.register('eTianQin.', self._process_pack)
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self.quote_callback_func = None
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self.chart_callback_func = {}
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# ----------------------------------------------------------------------
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def connect(self):
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"""
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建立行情连接。
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"""
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self._start()
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loop_thread = threading.Thread(target=lambda: tornado.ioloop.IOLoop.current().start())
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loop_thread.setDaemon(True)
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loop_thread.start()
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# ----------------------------------------------------------------------
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def subscribe_quote(self, ins_list, notify_func=None):
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"""
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订阅实时行情.
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指定一个合约列表，订阅其实时报价信息
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每次调用此函数时，都会覆盖前一次的订阅设定，不在订阅列表里的合约，会停止行情推送
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:param ins_list: ins_list 是一个列表，列出全部需要实时行情的合约代码。
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:param notify_func (可选): callback_func 是一个回调函数，每当有报价数据变更时会触发。此函数应该接受一个参数 ins_id
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:example:
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订阅 cu1803,SR709,IF1709 这三个合约的报价: subscribe_quote(["cu1803", ”SR709", "IF1709"])
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"""
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if notify_func:
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self.quote_callback_func = notify_func
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req = {
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"aid": "subscribe_quote",
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"ins_list": ",".join(ins_list),
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}
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self._send_json(req)
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# ----------------------------------------------------------------------
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def subscribe_chart(self, ins_id, duration_seconds, data_length=200, notify_func=None):
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"""
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订阅历史行情序列
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订阅指定合约及周期的历史数据序列（K线数据序列或Tick数据序列），这些序列数据会持续推送
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:param ins_id: 合约代码，需注意大小写
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:param duration_seconds: 历史数据周期，以秒为单位。特别的，此值指定为0表示订阅tick序列。目前支持的周期包括：
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3秒，5秒，10秒，15秒，20秒，30秒，1分钟，2分钟，3分钟，5分钟，10分钟，15分钟，20分钟，30分钟，1小时，2小时，4小时，1日
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:param data_length: 需要获取的序列长度。每个序列最大支持请求 8964 个数据
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:param notify_func (可选): notify_func 是一个回调函数，每当序列数据变更时会触发。此函数应该接受2个参数 ins_id, duration_seconds
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:example:
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订阅 cu1803 的1分钟线： subscribe_chart("cu1803", 60)
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订阅 IF1709 的tick线： subscribe_chart("IF1709", 0)
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"""
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chart_id = "VN_%s_%d" % (ins_id, duration_seconds)
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if data_length > 8964:
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data_length = 8964
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if notify_func:
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self.chart_callback_func[chart_id] = notify_func
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req = {
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"aid": "set_chart",
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"chart_id": chart_id,
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"ins_list": ins_id,
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"duration": duration_seconds * 1000000000,
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"view_width": data_length,
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}
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self._send_json(req)
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# ----------------------------------------------------------------------
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def get_quote(self, ins_id):
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"""
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获取报价数据
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:param ins_id: 指定合约代码
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:return: 若指定的数据不存在，返回None，否则返回如下所示的一个dict
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{
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u'datetime': u'2017-07-26 23:04:21.000001',# tick从交易所发出的时间(按北京时区)
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u'instrument_id': u'SR801', # 合约代码
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u'last_price': 6122.0, # 最新价
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u'bid_price1': 6121.0, # 买一价
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u'ask_price1': 6122.0, # 卖一价
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u'bid_volume1': 54, # 买一量
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u'ask_volume1': 66, # 卖一量
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u'upper_limit': 6388.0, # 涨停价
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u'lower_limit': 5896.0, # 跌停价
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u'volume': 89252, # 成交量
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u'amount': 5461329880.0, # 成交额
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u'open_interest': 616424, # 持仓量
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u'highest': 6129.0, # 当日最高价
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u'lowest': 6101.0, # 当日最低价
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u'average': 6119.0, # 当日均价
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u'open': 6102.0, # 开盘价
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u'close': u'-', # 收盘价
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u'settlement': u'-', # 结算价
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u'pre_close': 6106.0, # 昨收盘价
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u'pre_settlement': 6142.0 # 昨结算价
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u'pre_open_interest': 616620, # 昨持仓量
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}
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"""
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return self.data.setdefault("quotes", {}).get(ins_id, None)
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# ----------------------------------------------------------------------
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def get_tick_serial(self, ins_id):
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"""
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获取tick序列数据
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:param ins_id: 指定合约代码
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:return: 若指定的序列数据不存在，返回None，否则返回如下所示的一个dict
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{
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u'485107':{ # 每个Tick都有一个唯一编号，在一个序列中，编号总是连续递增的
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u'datetime': 1501074872000000000L, # tick从交易所发出的时间(按北京时区)，以nano epoch 方式表示(等于从1970-01-01时刻开始的纳秒数)
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u'trading_day': 1501084800000000000L, #交易日, 格式同上
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u'last_price': 3887, # 最新价
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u'bid_price1': 3881, # 买一价
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u'ask_price1': 3886, # 卖一价
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u'bid_volume1': 5, # 买一量
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u'ask_volume1': 1, #卖一量
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u'highest': 3887, # 当日最高价
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u'lowest': 3886, # 当日最低价
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u'volume': 6, # 成交量
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u'open_interest': 1796 # 持仓量
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},
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u'485108': {
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...
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}
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}
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"""
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return self.back_end.get_tick_serial(ins_id)
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# ----------------------------------------------------------------------
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def get_kline_serial(self, ins_id, duration_seconds):
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"""
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获取k线序列数据
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:param ins_id: 指定合约代码
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:param duration_seconds: 指定K线周期
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:return: 若指定的序列数据不存在，返回None，否则返回如下所示的一个dict
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{
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u'494835': { # 每根K线都有一个唯一编号，在一个序列中，编号总是连续递增的
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u'datetime': 1501080715000000000L, # K线起点时间(按北京时区)，以nano epoch 方式表示(等于从1970-01-01时刻开始的纳秒数)
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u'open': 51450, # K线起始时刻的最新价
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u'high': 51450, # K线时间范围内的最高价
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u'low': 51450, # K线时间范围内的最低价
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u'close': 51450, # K线结束时刻的最新价
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u'volume': 0, # K线时间范围内的成交量
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u'open_oi': 27354, # K线起始时刻的持仓量
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u'close_oi': 27354 # K线结束时刻的持仓量
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},
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u'494836': {
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...
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}
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}
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"""
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dur_id = "%d" % (duration_seconds * 1000000000)
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return self.back_end.get_kline_serial(ins_id, duration_seconds)
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# ----------------------------------------------------------------------
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@gen.coroutine
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def _start(self):
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self.client = yield tornado.websocket.websocket_connect(url="ws://127.0.0.1:7777/")
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print("connected")
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for req in self.requests:
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self.client.write_message(req)
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self.requests = []
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while True:
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msg = yield self.client.read_message()
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self._on_receive_msg(msg)
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def _send_json(self, obj):
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s = json.dumps(obj)
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if self.client:
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self.client.write_message(s)
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else:
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self.requests.append(s)
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def _on_receive_msg(self, msg):
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print("msg", msg)
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pack = json.loads(msg)
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datas = pack["data"]
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event1 = Event(type_='eTianQin.')
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event1.dict_['data'] = datas
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self.eventEngine.put(event1)
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def _process_pack(self, event):
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datas = event.dict_['data']
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#更新数据到存储后端
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self.back_end.input_data_pack(datas)
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#发出数据变更通知
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for data in datas:
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for selector, section in data.items():
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if selector == "quotes":
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if self.quote_callback_func:
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for ins_id in section.keys():
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self.quote_callback_func(ins_id)
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elif selector == "ticks":
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for ins_id in section.keys():
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chart_id = "VN_%s_%d" % (ins_id, 0)
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callback_func = self.chart_callback_func.get(chart_id, None)
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if callback_func:
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callback_func(ins_id, 0)
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elif selector == "klines":
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for ins_id, sub_section in section.items():
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for dur_nanoseconds in sub_section.keys():
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dur_seconds = int(dur_nanoseconds) / 1000000000
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chart_id = "VN_%s_%d" % (ins_id, dur_seconds)
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callback_func = self.chart_callback_func.get(chart_id, None)
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if callback_func:
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callback_func(ins_id, dur_seconds)
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