""" Provides data handlers that can push messages to a zipline.core.DataFeed """ import datetime import random import pytz import zipline.messaging as zm import zipline.protocol as zp class TradeDataSource(zm.DataSource): def send(self, event): """ :param dict event: is a trade event with data as per :py:func: `zipline.protocol.TRADE_FRAME` :rtype: None """ event.source_id = self.get_id message = zp.DATASOURCE_FRAME(event) self.data_socket.send(message) class RandomEquityTrades(TradeDataSource): """ Generates a random stream of trades for testing. """ def __init__(self, sid, source_id, count): zm.DataSource.__init__(self, source_id) self.count = count self.incr = 0 self.sid = sid self.trade_start = datetime.datetime.now().replace(tzinfo=pytz.utc) self.minute = datetime.timedelta(minutes=1) self.price = random.uniform(5.0, 50.0) def get_type(self): zp.COMPONENT_TYPE.SOURCE def do_work(self): if(self.incr == self.count): self.signal_done() return self.price = self.price + random.uniform(-0.05, 0.05) volume = random.randrange(100,10000,100) event = zp.namedict({ 'source_id' : self.get_id, "type" : zp.DATASOURCE_TYPE.ORDER, "sid" : self.sid, "price" : self.price, "volume" : volume, "dt" : self.trade_start + (self.minute * self.incr), }) message = zp.DATASOURCE_FRAME(event) self.send(message) self.incr += 1 class SpecificEquityTrades(TradeDataSource): """ Generates a random stream of trades for testing. """ def __init__(self, source_id, event_list): """ :event_list: should be a chronologically ordered list of dictionaries in the following form: event = { 'sid' : an integer for security id, 'dt' : datetime object, 'price' : float for price, 'volume' : integer for volume } """ zm.DataSource.__init__(self, source_id) self.event_list = event_list def get_type(self): zp.COMPONENT_TYPE.SOURCE def do_work(self): if(len(self.event_list) == 0): self.signal_done() return event = self.event_list.pop(0) self.send(zp.namedict(event))