8.2 KiB
8.2 KiB
行情记录
行情记录模块用于实时行情的收录:
- 连接上接口后并且启动行情记录模块;
- 通过本地合约(vt_symbol)添加记录任务;
- 后台会自动调用行情API接口的suscribe()函数自动订阅行情;
- 行情信息通过database_manager模块的save_bar_data()函数/save_tick_data()函数载入到数据库中。
注意:目前vnpy支持的数据库为SQLite/ MySQL/ PostgreSQL/ MongoDB。若用户使用MongoDB,则行情记录数据直接载入到MongoDB中。
加载启动
进入VN Trader后,首先登陆接口,如连接CTP;然后在菜单栏中点击“功能”->"行情记录“后,会弹出行情记录窗口,如图。
此时行情记录模块的启动状态为True,会启动while循环,可以添加任务实现实时行情记录。
def start(self):
""""""
self.active = True
self.thread.start()
def run(self):
""""""
while self.active:
try:
task = self.queue.get(timeout=1)
task_type, data = task
if task_type == "tick":
database_manager.save_tick_data([data])
elif task_type == "bar":
database_manager.save_bar_data([data])
except Empty:
continue
开始收录
- 在“本地代码”选择输入需要订阅的行情,如rb1905.SHFE;
- 然后点击后边“K线记录”或者“Tick记录”中的“添加”选项,会把记录特定品种任务添加到data_recorder_setting.json上,并且显示到“K线记录列表”或者“Tick记录列表”中,如图。
- 通过queue.put()与queue.get()异步完成收录行情信息任务。
下面介绍行情收录的具体原理:若无合约记录的历史,用户需要先添加行情记录任务,如连接CTP接口后记录rb1905.SHFE的tick数据,然后调用add_tick_recording()函数执行下面工作:
- 先创建tick_recordings字典;
- 调用接口的suscribe()函数订阅行情; 3 )保存该tick_recordings字典到json文件上;
- 推送行情记录事件。
def add_tick_recording(self, vt_symbol: str):
""""""
if vt_symbol in self.tick_recordings:
self.write_log(f"已在Tick记录列表中:{vt_symbol}")
return
contract = self.main_engine.get_contract(vt_symbol)
if not contract:
self.write_log(f"找不到合约:{vt_symbol}")
return
self.tick_recordings[vt_symbol] = {}
"symbol": contract.symbol,
"exchange": contract.exchange.value,
"gateway_name": contract.gateway_name
}
self.subscribe(contract)
self.save_setting()
self.put_event()
self.write_log(f"添加Tick记录成功:{vt_symbol}")
下面对add_tick_recording()函数里面调用的子函数进行扩展:
订阅行情
调用main_engine的suscribe()函数来订阅行情,需要填入的信息为symbol、exchange、gateway_name
def subscribe(self, contract: ContractData):
""""""
req = SubscribeRequest(
symbol=contract.symbol,
exchange=contract.exchange
)
self.main_engine.subscribe(req, contract.gateway_name)
将订阅信息保存到json文件
- 主要把tick_recordings或者bar_recordings通过save_json()函数保存到C:\Users\Administrator\.vntrader文件夹内的data_recorder_setting.json上。
- 该json文件用于存放行情记录的任务,当每次启动行情模块后,会调用load_setting()函数来得到tick_recordings和bar_recordings字典,进而开始记录的任务。
setting_filename = "data_recorder_setting.json"
def save_setting(self):
""""""
setting = {
"tick": self.tick_recordings,
"bar": self.bar_recordings
}
save_json(self.setting_filename, setting)
def load_setting(self):
""""""
setting = load_json(self.setting_filename)
self.tick_recordings = setting.get("tick", {})
self.bar_recordings = setting.get("bar", {})
推送行情记录事件
- 创建行情记录列表tick_symbols和bar_symbols,并且缓存在data字典里;
- 创建evnte对象,其类型是EVENT_RECORDER_UPDATE, 内容是data字典;
- 调用event_engine的put()函数推送event事件。
def put_event(self):
""""""
tick_symbols = list(self.tick_recordings.keys())
tick_symbols.sort()
bar_symbols = list(self.bar_recordings.keys())
bar_symbols.sort()
data = {
"tick": tick_symbols,
"bar": bar_symbols
}
event = Event(
EVENT_RECORDER_UPDATE,
data
)
self.event_engine.put(event)
注册行情记录事件
register_event()函数分别注册2种事件:EVENT_CONTRACT、EVENT_TICK
- EVENT_CONTRACT事件,调用的是process_contract_event()函数: 从tick_recordings和bar_recordings字典获取需要订阅的合约品种;然后使用subscribe()函数进行订阅行情。
- EVENT_TICK事件,调用的是process_tick_event()函数:从tick_recordings和bar_recordings字典获取需要订阅的合约品种;然后使用record_tick()和record_bar()函数,把行情记录任务推送到queue队列中等待执行。
def register_event(self):
""""""
self.event_engine.register(EVENT_TICK, self.process_tick_event)
self.event_engine.register(EVENT_CONTRACT, self.process_contract_event)
def process_tick_event(self, event: Event):
""""""
tick = event.data
if tick.vt_symbol in self.tick_recordings:
self.record_tick(tick)
if tick.vt_symbol in self.bar_recordings:
bg = self.get_bar_generator(tick.vt_symbol)
bg.update_tick(tick)
def process_contract_event(self, event: Event):
""""""
contract = event.data
vt_symbol = contract.vt_symbol
if (vt_symbol in self.tick_recordings or vt_symbol in self.bar_recordings):
self.subscribe(contract)
def record_tick(self, tick: TickData):
""""""
task = ("tick", copy(tick))
self.queue.put(task)
def record_bar(self, bar: BarData):
""""""
task = ("bar", copy(bar))
self.queue.put(task)
def get_bar_generator(self, vt_symbol: str):
""""""
bg = self.bar_generators.get(vt_symbol, None)
if not bg:
bg = BarGenerator(self.record_bar)
self.bar_generators[vt_symbol] = bg
return bg
执行记录行情任务
在while循环中,从queue队列读取任务,调用save_tick_data()或者save_bar_data()函数来记录数据,并且载入到数据库中。
def run(self):
""""""
while self.active:
try:
task = self.queue.get(timeout=1)
task_type, data = task
if task_type == "tick":
database_manager.save_tick_data([data])
elif task_type == "bar":
database_manager.save_bar_data([data])
except Empty:
continue
移除记录
- 从tick_recordings字典移除vt_symbol
- 调用save_setting()函数保存json配置文件
- 推送最新的tick_recordings字典来继续记录行情,原来移除合约品种不再记录。
def remove_tick_recording(self, vt_symbol: str):
""""""
if vt_symbol not in self.tick_recordings:
self.write_log(f"不在Tick记录列表中:{vt_symbol}")
return
self.tick_recordings.pop(vt_symbol)
self.save_setting()
self.put_event()
self.write_log(f"移除Tick记录成功:{vt_symbol}")
停止记录
- 记录行情状态改为False, 停止while循环;
- 调用join()函数关掉线程。
def close(self):
""""""
self.active = False
if self.thread.isAlive():
self.thread.join()