aggcache introduced
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@ -12,6 +12,8 @@ from copy import deepcopy
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from msgpack import unpackb
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import os
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from v2realbot.config import DATA_DIR, GROUP_TRADES_WITH_TIMESTAMP_LESS_THAN, AGG_EXCLUDED_TRADES
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import pickle
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import dill
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class TradeAggregator:
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def __init__(self,
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@ -21,7 +23,8 @@ class TradeAggregator:
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update_ltp: bool = False,
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align: StartBarAlign = StartBarAlign.ROUND,
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mintick: int = 0,
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exthours: bool = False):
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exthours: bool = False,
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excludes: list = AGG_EXCLUDED_TRADES):
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"""
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UPDATED VERSION - vrací více záznamů
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@ -40,6 +43,7 @@ class TradeAggregator:
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self.minsize = minsize
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self.update_ltp = update_ltp
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self.exthours = exthours
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self.excludes = excludes
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if mintick >= resolution:
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print("Mintick musi byt mensi nez resolution")
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@ -75,6 +79,10 @@ class TradeAggregator:
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self.diff_price = True
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self.preconfBar = {}
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self.trades_too_close = False
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self.cached_object = None
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self.cache_output_enabled = False
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self.cache_from = None
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self.cache_to = None
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async def ingest_trade(self, indata, symbol):
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"""
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@ -95,7 +103,7 @@ class TradeAggregator:
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## přidán W - average price trade, U - Extended hours - sold out of sequence, Z - Sold(Out of sequence)
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try:
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for i in data['c']:
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if i in AGG_EXCLUDED_TRADES: return []
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if i in self.excludes: return []
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except KeyError:
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pass
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@ -694,21 +702,90 @@ class TradeAggregator:
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else:
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return []
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def populate_file_name(self, date_from: datetime, date_to: datetime):
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#nazev obsahuje i child class
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#a take excludes result = ''.join(self.excludes.sort())
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self.excludes.sort() # Sorts the list in place
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excludes_str = ''.join(map(str, self.excludes)) # Joins the sorted elements after converting them to strings
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cache_file = self.__class__.__name__ + '-' + self.symbol + '-' + str(int(date_from.timestamp())) + '-' + str(int(date_to.timestamp())) + '-' + str(self.rectype) + "-" + str(self.resolution) + "-" + str(self.minsize) + "-" + str(self.align) + '-' + str(self.mintick) + str(self.exthours) + excludes_str + '.cache'
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file_path = DATA_DIR + "/aggcache/" + cache_file
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#print(file_path)
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return file_path
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#returns cached objects for given period
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def get_cache(self, date_from: datetime, date_to: datetime):
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file_path = self.populate_file_name(date_from, date_to)
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if os.path.exists(file_path):
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##daily aggregated file exists
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with open (file_path, 'rb') as fp:
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cachedobject = dill.load(fp)
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print("AGG CACHE loaded ", file_path)
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if isinstance(cachedobject, Queue):
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num = cachedobject.qsize()
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else:
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num = len(cachedobject)
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print("cached items",num)
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return cachedobject, file_path
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else:
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return None, None
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#cachujeme jen na exlicitni zapnuti a jen pro BT
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def enable_cache_output(self, date_from: datetime, date_to: datetime):
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self.cache_output_enabled = True
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self.cache_from = date_from
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self.cache_to = date_to
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#lozi storovany cache object self.cache_object do cache
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async def store_cached_object(self):
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if self.cache_output_enabled is False or self.cached_object is None or self.cache_from is None or self.cache_to is None:
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print("cache not enabled or missing data")
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return None
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if isinstance(self.cached_object, Queue):
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num = self.cached_object.qsize()
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else:
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num = len(self.cached_object)
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file_path = self.populate_file_name(self.cache_from, self.cache_to)
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with open(file_path, 'wb') as fp:
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dill.dump(self.cached_object, fp)
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print(f"AGG CACHE stored ({num}) :{file_path}")
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print(f"DATES from:{self.cache_from.strftime('%d.%m.%Y %H:%M')} to:{self.cache_to.strftime('%d.%m.%Y %H:%M')}")
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#reset values
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self.cached_object = None
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self.cache_output_enabled = False
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self.cache_from = None
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self.cache_to = None
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def send_cache_to_output(self, cachedobject):
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#this has to be overriden by each child
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pass
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class TradeAggregator2Queue(TradeAggregator):
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"""
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Child of TradeAggregator - sends items to given queue
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In the future others will be added - TradeAggToTxT etc.
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"""
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def __init__(self, symbol: str, queue: Queue, rectype: RecordType = RecordType.BAR, resolution: int = 5, minsize: int = 100, update_ltp: bool = False, align: StartBarAlign = StartBarAlign.ROUND, mintick: int = 0, exthours: bool = False):
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super().__init__(rectype=rectype, resolution=resolution, minsize=minsize, update_ltp=update_ltp, align=align, mintick=mintick, exthours=exthours)
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def __init__(self, symbol: str, queue: Queue, rectype: RecordType = RecordType.BAR, resolution: int = 5, minsize: int = 100, update_ltp: bool = False, align: StartBarAlign = StartBarAlign.ROUND, mintick: int = 0, exthours: bool = False, excludes: list = AGG_EXCLUDED_TRADES):
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super().__init__(rectype=rectype, resolution=resolution, minsize=minsize, update_ltp=update_ltp, align=align, mintick=mintick, exthours=exthours, excludes=excludes)
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self.queue = queue
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self.symbol = symbol
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self.cached_object = Queue()
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#accepts loaded queue and sents it to given output
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async def ingest_cached(self, cached_queue):
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for element in cached_queue:
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self.queue.put(element)
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# #accepts loaded queue and sents it to given output
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# async def ingest_cached(self, cached_queue):
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# for element in cached_queue:
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# self.queue.put(element)
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#prime presunuti celeho ulozeneho objektu queue
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def send_cache_to_output(self, cachedobject):
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self.queue.queue = cachedobject.queue
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#ingest tradu do agregatoru a odeslani do vystupu
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async def ingest_trade(self, data):
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#print("ingest ve threadu:",current_thread().name)
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res = await super().ingest_trade(data, self.symbol)
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@ -725,6 +802,12 @@ class TradeAggregator2Queue(TradeAggregator):
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##populate secondary resolution if required
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#print("inserted to queue")
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self.queue.put(copy)
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if self.cache_output_enabled:
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self.cached_object.put(copy)
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if copy == 'last':
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await self.store_cached_object()
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res = []
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#print("po insertu",res)
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@ -732,18 +815,24 @@ class TradeAggregator2List(TradeAggregator):
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""""
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stores records to the list
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"""
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def __init__(self, symbol: str, btdata: list, rectype: RecordType = RecordType.BAR, resolution: int = 5, minsize: int = 100, update_ltp: bool = False, align: StartBarAlign = StartBarAlign.ROUND, mintick: int = 0, exthours: bool = False):
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super().__init__(rectype=rectype, resolution=resolution, minsize=minsize, update_ltp=update_ltp, align=align, mintick=mintick, exthours=exthours)
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def __init__(self, symbol: str, btdata: list, rectype: RecordType = RecordType.BAR, resolution: int = 5, minsize: int = 100, update_ltp: bool = False, align: StartBarAlign = StartBarAlign.ROUND, mintick: int = 0, exthours: bool = False, excludes: list = AGG_EXCLUDED_TRADES):
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super().__init__(rectype=rectype, resolution=resolution, minsize=minsize, update_ltp=update_ltp, align=align, mintick=mintick, exthours=exthours, excludes=excludes)
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self.btdata = btdata
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self.symbol = symbol
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self.cached_object = []
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# self.debugfile = DATA_DIR + "/BACprices.txt"
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# if os.path.exists(self.debugfile):
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# os.remove(self.debugfile)
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#accepts loaded queue and sents it to given output
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async def ingest_cached(self, cached_queue):
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for element in cached_queue:
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self.btdata.append((element['t'],element['p']))
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#prime presunuti celeho ulozeneho objektu queue
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def send_cache_to_output(self, cachedobject):
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self.btdata.extend(cachedobject)
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#TODO teoreticky to muzeme vzdy brat z primarniho objektu jako funkce nize - promyslet
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# #accepts loaded queue and sents it to given output
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# async def ingest_cached(self, cached_queue):
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# for element in cached_queue:
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# self.btdata.append((element['t'],element['p']))
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async def ingest_trade(self, data):
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#print("ted vstoupil do tradeagg2list ingestu")
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@ -755,6 +844,13 @@ class TradeAggregator2List(TradeAggregator):
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copy = obj.copy()
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else:
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copy = obj
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if self.cache_output_enabled:
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if copy == 'last':
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await self.store_cached_object()
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else:
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self.cached_object.append((copy['t'],copy['p']))
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if obj == 'last': return []
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self.btdata.append((copy['t'],copy['p']))
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# with open(self.debugfile, "a") as output:
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