def __on_kline_data(self, data):
event_type = data.get('e', '')
if event_type == 'kline':
k = data['k']
symbol = k['s']
timestamp = k['t'] * 0.001
tf = self.REV_TF_MAP[k['i']]
candle = Candle(timestamp, tf)
# only price, no spread
candle.set_bid_ohlc(float(k['o']), float(k['h']), float(k['l']),
float(k['c']))
candle.set_ofr_ohlc(float(k['o']), float(k['h']), float(k['l']),
float(k['c']))
candle.set_volume(float(k['v']))
candle.set_consolidated(k['x'])
self.service.notify(Signal.SIGNAL_CANDLE_DATA, self.name,
(symbol, candle))
if k['x'] and not self._read_only:
# write only consolidated candles. values are string its perfect
Database.inst().store_market_ohlc(
(self.name, symbol, int(k['t']), tf, k['o'], k['h'],
k['l'], k['c'], k['o'], k['h'], k['l'], k['c'], k['v']))
def update_ohlc(self, market_id, tf, ts, bid, ofr, volume):
base_time = Instrument.basetime(ts, time.time())
ended_ohlc = None
ohlc = None
# last ohlc per market id
last_ohlc_by_timeframe = self._last_ohlc.get(market_id)
if last_ohlc_by_timeframe is None:
# not found for this market insert it
self._last_ohlc[market_id] = {tf: None}
last_ohlc_by_timeframe = self._last_ohlc[market_id]
if tf not in last_ohlc_by_timeframe:
last_ohlc_by_timeframe[tf] = None
else:
ohlc = last_ohlc_by_timeframe[tf]
if ohlc and (ohlc.timestamp + tf <= base_time):
# later tick data (laggy ?)
if ts < base_time:
# but after that next in laggy data will be ignored...
# its not perfect in laggy cases for storage, but in live we can't deals we later data
self.__update_ohlc(ohlc, bid, ofr, volume)
# need to close the ohlc and to open a new one
ohlc.set_consolidated(True)
ended_ohlc = ohlc
last_ohlc_by_timeframe[tf] = None
ohlc = None
if ohlc is None:
# open a new one
ohlc = Candle(base_time, tf)
ohlc.set_consolidated(False)
if bid:
ohlc.set_bid_ohlc(bid, bid, bid, bid)
if ofr:
ohlc.set_ofr_ohlc(ofr, ofr, ofr, ofr)
last_ohlc_by_timeframe[tf] = ohlc
if ts >= ohlc.timestamp:
self.__update_ohlc(ohlc, bid, ofr, volume)
# stored timeframes only
if ended_ohlc and (tf in self.STORED_TIMEFRAMES):
Database.inst().store_market_ohlc(
(self.name, market_id, int(ended_ohlc.timestamp * 1000), tf,
ended_ohlc.bid_open, ended_ohlc.bid_high, ended_ohlc.bid_low,
ended_ohlc.bid_close, ended_ohlc.ofr_open,
ended_ohlc.ofr_high, ended_ohlc.ofr_low, ended_ohlc.ofr_close,
ended_ohlc.volume))
return ohlc
class CandleGenerator(object):
__slots__ = '_from_tf', '_to_tf', '_candle', '_last_timestamp', '_last_consumed'
def __init__(self, from_tf, to_tf):
"""
@param to_tf Generated candle time unit.
"""
if from_tf and (int(to_tf) % int(from_tf) != 0):
raise (ValueError(
"From timeframe %s must be an integral divider of to timeframe %s"
% (from_tf, to_tf)))
self._from_tf = float(from_tf)
self._to_tf = float(to_tf)
self._candle = None
self._last_timestamp = 0
self._last_consumed = 0
@property
def current(self):
"""
If exists returns the current non closed candle.
"""
return self._candle
@current.setter
def current(self, candle):
self._candle = candle
@property
def last_timestamp(self):
return self._last_timestamp
@property
def last_consumed(self):
return self._last_consumed
@property
def from_tf(self):
return self._from_tf
@property
def to_tf(self):
return self._to_tf
def generate_from_candles(self, from_candles, ignore_non_ended=True):
"""
Generate as many higher candles as possible from the array of candles given in parameters.
@note Non ended candles are ignored because it will false the volume.
"""
to_candles = []
self._last_consumed = 0
for from_candle in from_candles:
to_candle = self.update_from_candle(from_candle)
if to_candle:
to_candles.append(to_candle)
self._last_consumed += 1
return to_candles
def generate_from_ticks(self, from_ticks):
"""
Generate as many higher candles as possible from the array of ticks given in parameters.
"""
to_candles = []
self._last_consumed = 0
for from_tick in from_ticks:
to_candle = self.update_from_tick(from_tick)
if to_candle:
to_candles.append(to_candle)
self._last_consumed += 1
return to_candles
def basetime(self, timestamp):
if self._to_tf < 7 * 24 * 60 * 60:
# simplest
return int(timestamp / self._to_tf) * self._to_tf
elif self._to_tf == 7 * 24 * 60 * 60:
# must find the UTC first day of week
dt = datetime.utcfromtimestamp(timestamp)
dt = dt.replace(
hour=0, minute=0, second=0, microsecond=0,
tzinfo=UTC()) - timedelta(days=dt.weekday())
return dt.timestamp()
elif self._to_tf == 30 * 24 * 60 * 60:
# replace by first day of month at 00h00 UTC
dt = datetime.utcfromtimestamp(timestamp)
dt = dt.replace(day=1,
hour=0,
minute=0,
second=0,
microsecond=0,
tzinfo=UTC())
return dt.timestamp()
def update_from_tick(self, from_tick):
if from_tick is None:
return None
if from_tick[0] <= self._last_timestamp:
# already done (and what if two consecutives ticks have the same timestamp ?)
return None
# basetime can be slow, uses only to create a new candle
# base_time = self.basetime(from_tick[0])
ended_candle = None
# if self._candle and self._candle.timestamp+self._to_tf <= base_time:
if self._candle and from_tick[
0] >= self._candle.timestamp + self._to_tf:
# need to close the candle and to open a new one
self._candle.set_consolidated(True)
ended_candle = self._candle
self._candle = None
if self._candle is None:
# open a new one
base_time = self.basetime(from_tick[0]) # from_tick[0] directly ?
self._candle = Candle(base_time, self._to_tf)
self._candle.set_consolidated(False)
# all open, close, low high from the initial candle
self._candle.set_bid(from_tick[1])
self._candle.set_ofr(from_tick[2])
# update volumes
self._candle._volume += from_tick[3]
# update bid prices
# bid high/low
self._candle._bid_high = max(self._candle._bid_high, from_tick[1])
self._candle._bid_low = min(self._candle._bid_low, from_tick[1])
# potential close
self._candle._bid_close = from_tick[1]
# update ofr prices
# ofr high/low
self._candle._ofr_high = max(self._candle._ofr_high, from_tick[2])
self._candle._ofr_low = min(self._candle._ofr_low, from_tick[2])
# potential close
self._candle._ofr_close = from_tick[2]
# keep last timestamp
self._last_timestamp = from_tick[0]
return ended_candle
def update_from_candle(self, from_candle):
"""
From a timeframe, create/update candle to another timeframe, that must be greater and a multiple of.
Example of creating/updating hourly candle for 1 minute candles.
Must be called each time a new candle of the lesser timeframe is append.
It only create the last or update the current candle.
A non ended candle is ignored because it will false the volume.
"""
if from_candle is None or not from_candle.ended:
return None
if self._from_tf != from_candle.timeframe:
raise ValueError(
"From candle must be of time unit %s but %s is provided" %
(self._from_tf, from_candle.timeframe))
if from_candle.timestamp <= self._last_timestamp:
# already done
return None
base_time = self.basetime(from_candle.timestamp)
ended_candle = None
if self._candle and self._candle.timestamp + self._to_tf <= base_time:
# need to close the candle and to open a new one
self._candle.set_consolidated(True)
ended_candle = self._candle
self._candle = None
if self._candle is None:
# open a new one
self._candle = Candle(base_time, self._to_tf)
self._candle.set_consolidated(False)
# all open, close, low high from the initial candle
self._candle.copy_bid(from_candle)
self._candle.copy_ofr(from_candle)
# update volumes
self._candle._volume += from_candle.volume
# update bid prices
self._candle._bid_high = max(self._candle._bid_high,
from_candle._bid_high)
self._candle._bid_low = min(self._candle._bid_low,
from_candle._bid_low)
# potential close
self._candle._bid_close = from_candle._bid_close
# update ofr prices
self._candle._ofr_high = max(self._candle._ofr_high,
from_candle._ofr_high)
self._candle._ofr_low = min(self._candle._ofr_low,
from_candle._ofr_low)
# potential close
self._candle._ofr_close = from_candle._ofr_close
# keep last timestamp
self._last_timestamp = from_candle.timestamp
return ended_candle
def process_ohlc(self):
#
# select market ohlcs
#
with self._mutex:
mks = self._pending_ohlc_select
self._pending_ohlc_select = []
if mks:
try:
cursor = self._db.cursor()
for mk in mks:
if mk[6]:
# last n
cursor.execute("""SELECT COUNT(*) FROM ohlc WHERE broker_id = '%s' AND market_id = '%s' AND timeframe = %s""" % (mk[1], mk[2], mk[3]))
count = int(cursor.fetchone()[0])
offset = max(0, count - mk[6])
# LIMIT should not be necessary then
cursor.execute("""SELECT timestamp, bid_open, bid_high, bid_low, bid_close, ask_open, ask_high, ask_low, ask_close, volume FROM ohlc
WHERE broker_id = '%s' AND market_id = '%s' AND timeframe = %s ORDER BY timestamp ASC LIMIT %i OFFSET %i""" % (
mk[1], mk[2], mk[3], mk[6], offset))
elif mk[4] and mk[5]:
# from to
cursor.execute("""SELECT timestamp, bid_open, bid_high, bid_low, bid_close, ask_open, ask_high, ask_low, ask_close, volume FROM ohlc
WHERE broker_id = '%s' AND market_id = '%s' AND timeframe = %s AND timestamp >= %i AND timestamp <= %i ORDER BY timestamp ASC""" % (
mk[1], mk[2], mk[3], mk[4], mk[5]))
elif mk[4]:
# from to now
cursor.execute("""SELECT timestamp, bid_open, bid_high, bid_low, bid_close, ask_open, ask_high, ask_low, ask_close, volume FROM ohlc
WHERE broker_id = '%s' AND market_id = '%s' AND timeframe = %s AND timestamp >= %i ORDER BY timestamp ASC""" % (
mk[1], mk[2], mk[3], mk[4]))
elif mk[5]:
# to now
cursor.execute("""SELECT timestamp, bid_open, bid_high, bid_low, bid_close, ask_open, ask_high, ask_low, ask_close, volume FROM ohlc
WHERE broker_id = '%s' AND market_id = '%s' AND timeframe = %s AND timestamp <= %i ORDER BY timestamp ASC""" % (
mk[1], mk[2], mk[3], mk[5]))
else:
# all
cursor.execute("""SELECT timestamp, bid_open, bid_high, bid_low, bid_close, ask_open, ask_high, ask_low, ask_close, volume FROM ohlc
WHERE broker_id = '%s' AND market_id = '%s' AND timeframe = %s ORDER BY timestamp ASC""" % (
mk[1], mk[2], mk[3]))
rows = cursor.fetchall()
ohlcs = []
for row in rows:
timestamp = float(row[0]) * 0.001 # to float second timestamp
ohlc = Candle(timestamp, mk[3])
ohlc.set_bid_ohlc(float(row[1]), float(row[2]), float(row[3]), float(row[4]))
ohlc.set_ofr_ohlc(float(row[5]), float(row[6]), float(row[7]), float(row[8]))
# if float(row[9]) <= 0:
# # prefer to ignore empty volume ohlc because it can broke volume signal and it is a no way but it could be
# # a lack of this information like on SPX500 of ig.com. So how to manage that cases...
# continue
ohlc.set_volume(float(row[9]))
if ohlc.timestamp >= Instrument.basetime(mk[3], time.time()):
ohlc.set_consolidated(False) # current
ohlcs.append(ohlc)
# notify
mk[0].notify(Signal.SIGNAL_CANDLE_DATA_BULK, mk[1], (mk[2], mk[3], ohlcs))
except self.psycopg2.OperationalError as e:
self.try_reconnect(e)
# retry the next time
with self._mutex:
self._pending_ohlc_select = mks + self._pending_ohlc_select
except Exception as e:
self.on_error(e)
# retry the next time
with self._mutex:
self._pending_ohlc_select = mks + self._pending_ohlc_select
#
# insert market ohlcs
#
if time.time() - self._last_ohlc_flush >= 60 or len(self._pending_ohlc_insert) > 500:
with self._mutex:
mkd = self._pending_ohlc_insert
self._pending_ohlc_insert = []
if mkd:
try:
cursor = self._db.cursor()
elts = []
data = set()
for mk in mkd:
if (mk[0], mk[1], mk[2], mk[3]) not in data:
elts.append("('%s', '%s', %i, %i, '%s', '%s', '%s', '%s', '%s', '%s', '%s', '%s', '%s')" % (mk[0], mk[1], mk[2], mk[3], mk[4], mk[5], mk[6], mk[7], mk[8], mk[9], mk[10], mk[11], mk[12]))
data.add((mk[0], mk[1], mk[2], mk[3]))
query = ' '.join(("INSERT INTO ohlc(broker_id, market_id, timestamp, timeframe, bid_open, bid_high, bid_low, bid_close, ask_open, ask_high, ask_low, ask_close, volume) VALUES",
','.join(elts),
"ON CONFLICT (broker_id, market_id, timestamp, timeframe) DO UPDATE SET bid_open = EXCLUDED.bid_open, bid_high = EXCLUDED.bid_high, bid_low = EXCLUDED.bid_low, bid_close = EXCLUDED.bid_close, ask_open = EXCLUDED.ask_open, ask_high = EXCLUDED.ask_high, ask_low = EXCLUDED.ask_low, ask_close = EXCLUDED.ask_close, volume = EXCLUDED.volume"))
# query = ' '.join((
# "INSERT INTO ohlc(broker_id, market_id, timestamp, timeframe, bid_open, bid_high, bid_low, bid_close, ask_open, ask_high, ask_low, ask_close, volume) VALUES",
# ','.join(["('%s', '%s', %i, %i, '%s', '%s', '%s', '%s', '%s', '%s', '%s', '%s', '%s')" % (mk[0], mk[1], mk[2], mk[3], mk[4], mk[5], mk[6], mk[7], mk[8], mk[9], mk[10], mk[11], mk[12]) for mk in mkd]),
# "ON CONFLICT (broker_id, market_id, timestamp, timeframe) DO UPDATE SET bid_open = EXCLUDED.bid_open, bid_high = EXCLUDED.bid_high, bid_low = EXCLUDED.bid_low, bid_close = EXCLUDED.bid_close, ask_open = EXCLUDED.ask_open, ask_high = EXCLUDED.ask_high, ask_low = EXCLUDED.ask_low, ask_close = EXCLUDED.ask_close, volume = EXCLUDED.volume"
# ))
cursor.execute(query)
self._db.commit()
except self.psycopg2.OperationalError as e:
self.try_reconnect(e)
# retry the next time
with self._mutex:
self._pending_ohlc_insert = mkd + self._pending_ohlc_insert
except Exception as e:
self.on_error(e)
# retry the next time
with self._mutex:
self._pending_ohlc_insert = mkd + self._pending_ohlc_insert
self._last_ohlc_flush = time.time()
#
# insert market liquidation
#
with self._mutex:
mkd = self._pending_liquidation_insert
self._pending_liquidation_insert = []
if mkd:
try:
cursor = self._db.cursor()
elts = []
for mk in mkd:
elts.append("('%s', '%s', %i, %i, '%s', '%s')" % (mk[0], mk[1], mk[2], mk[3], mk[4], mk[5]))
# query = ' '.join(("INSERT INTO liquidation(broker_id, market_id, timestamp, direction, price, quantity) VALUES",
# ','.join(elts),
# "ON CONFLICT (broker_id, market_id, timestamp) DO NOTHING"))
query = ' '.join(("INSERT INTO liquidation(broker_id, market_id, timestamp, direction, price, quantity) VALUES", ','.join(elts)))
cursor.execute(query)
self._db.commit()
except psycopg2.OperationalError as e:
self.try_reconnect(e)
# retry the next time
with self._mutex:
self._pending_liquidation_insert = mkd + self._pending_liquidation_insert
except Exception as e:
self.on_error(e)
# retry the next time
with self._mutex:
self._pending_liquidation_insert = mkd + self._pending_liquidation_insert
#
# clean older ohlcs
#
if self._autocleanup:
if time.time() - self._last_ohlc_clean >= OhlcStorage.CLEANUP_DELAY:
try:
now = time.time()
cursor = self._db.cursor()
for timeframe, timestamp in OhlcStorage.CLEANERS:
ts = int(now - timestamp) * 1000
# @todo make a count before
cursor.execute("DELETE FROM ohlc WHERE timeframe <= %i AND timestamp < %i" % (timeframe, ts))
self._db.commit()
except psycopg2.OperationalError as e:
self.try_reconnect(e)
except Exception as e:
self.on_error(e)
self._last_ohlc_clean = time.time()
def fetch_and_generate(self,
market_id,
timeframe,
from_date=None,
to_date=None,
n_last=1000,
fetch_option="",
cascaded=None):
if timeframe > 0 and timeframe not in self.GENERATED_TF:
logger.error("Timeframe %i is not allowed !" % (timeframe, ))
return
generators = []
from_tf = timeframe
self._last_ticks = []
self._last_ohlcs = {}
if not from_date and n_last:
# compute a from date
today = datetime.now().astimezone(UTC())
if timeframe >= Instrument.TF_MONTH:
from_date = (
today -
timedelta(months=int(timeframe / Instrument.TF_MONTH) *
n_last)).replace(day=1).replace(hour=0).replace(
minute=0).replace(second=0)
elif timeframe >= Instrument.TF_1D:
from_date = (today - timedelta(
days=int(timeframe / Instrument.TF_1D) * n_last)).replace(
hour=0).replace(minute=0).replace(second=0)
elif timeframe >= Instrument.TF_1H:
from_date = (today - timedelta(
hours=int(timeframe / Instrument.TF_1H) * n_last)).replace(
minute=0).replace(second=0)
elif timeframe >= Instrument.TF_1M:
from_date = (
today -
timedelta(minutes=int(timeframe / Instrument.TF_1M) *
n_last)).replace(second=0)
elif timeframe >= Instrument.TF_1S:
from_date = (today - timedelta(
seconds=int(timeframe / Instrument.TF_1S) * n_last))
from_date = from_date.replace(microsecond=0)
if not to_date:
today = datetime.now().astimezone(UTC())
if timeframe == Instrument.TF_MONTH:
to_date = today + timedelta(months=1)
else:
to_date = today + timedelta(seconds=timeframe)
to_date = to_date.replace(microsecond=0)
# cascaded generation of candles
if cascaded:
for tf in Fetcher.GENERATED_TF:
if tf > timeframe:
# from timeframe greater than initial
if tf <= cascaded:
# until max cascaded timeframe
generators.append(CandleGenerator(from_tf, tf))
from_tf = tf
# store for generation
self._last_ohlcs[tf] = []
else:
from_tf = tf
if timeframe > 0:
self._last_ohlcs[timeframe] = []
n = 0
t = 0
if timeframe == 0:
for data in self.fetch_trades(market_id, from_date, to_date, None):
# store (int timestamp in ms, str bid, str ofr, str volume)
Database.inst().store_market_trade(
(self.name, market_id, data[0], data[1], data[2], data[3]))
if generators:
self._last_ticks.append(
(float(data[0]) * 0.001, float(data[1]),
float(data[2]), float(data[3])))
# generate higher candles
for generator in generators:
if generator.from_tf == 0:
candles = generator.generate_from_ticks(
self._last_ticks)
if candles:
for c in candles:
self.store_candle(market_id, generator.to_tf,
c)
self._last_ohlcs[generator.to_tf] += candles
# remove consumed ticks
self._last_ticks = []
else:
candles = generator.generate_from_candles(
self._last_ohlcs[generator.from_tf])
if candles:
for c in candles:
self.store_candle(market_id, generator.to_tf,
c)
self._last_ohlcs[generator.to_tf] += candles
# remove consumed candles
self._last_ohlcs[generator.from_tf] = []
n += 1
t += 1
if n == 10000:
n = 0
Terminal.inst().info("%i trades for %s..." %
(t, market_id))
# calm down the storage of tick, if parsing is faster
while Database.inst().num_pending_ticks_storage(
) > Fetcher.MAX_PENDING_TICK:
time.sleep(Fetcher.TICK_STORAGE_DELAY
) # wait a little before continue
logger.info("Fetched %i trades for %s" % (t, market_id))
elif timeframe > 0:
for data in self.fetch_candles(market_id, timeframe, from_date,
to_date, None):
# store (int timestamp ms, str open bid, high bid, low bid, close bid, open ofr, high ofr, low ofr, close ofr, volume)
Database.inst().store_market_ohlc(
(self.name, market_id, data[0], int(timeframe), data[1],
data[2], data[3], data[4], data[5], data[6], data[7],
data[8], data[9]))
if generators:
candle = Candle(float(data[0]) * 0.001, timeframe)
candle.set_bid_ohlc(float(data[1]), float(data[2]),
float(data[3]), float(data[4]))
candle.set_ofr_ohlc(float(data[5]), float(data[6]),
float(data[7]), float(data[8]))
candle.set_volume(float(data[9]))
candle.set_consolidated(True)
self._last_ohlcs[timeframe].append(candle)
# generate higher candles
for generator in generators:
candles = generator.generate_from_candles(
self._last_ohlcs[generator.from_tf])
if candles:
for c in candles:
self.store_candle(market_id, generator.to_tf, c)
self._last_ohlcs[generator.to_tf].extend(candles)
# remove consumed candles
self._last_ohlcs[generator.from_tf] = []
n += 1
t += 1
if n == 1000:
n = 0
Terminal.inst().info(
"%i candles for %s in %s..." %
(t, market_id, timeframe_to_str(timeframe)))
logger.info("Fetched %i candles for %s in %s" %
(t, market_id, timeframe_to_str(timeframe)))
def fetch_and_generate(self,
market_id,
timeframe,
n_last=1,
cascaded=None):
"""
For initial fetching of the current OHLC.
"""
if timeframe > 0 and timeframe not in self.GENERATED_TF:
logger.error("Timeframe %i is not allowed !" % (timeframe, ))
return
generators = []
from_tf = timeframe
if not market_id in self._last_ohlc:
self._last_ohlc[market_id] = {}
# compute a from date
today = datetime.now().astimezone(UTC())
from_date = today - timedelta(seconds=timeframe * n_last)
to_date = today
last_ohlcs = {}
# cascaded generation of candles
if cascaded:
for tf in Watcher.GENERATED_TF:
if tf > timeframe:
# from timeframe greater than initial
if tf <= cascaded:
# until max cascaded timeframe
generators.append(CandleGenerator(from_tf, tf))
from_tf = tf
# store for generation
last_ohlcs[tf] = []
else:
from_tf = tf
if timeframe > 0:
last_ohlcs[timeframe] = []
n = 0
for data in self.fetch_candles(market_id, timeframe, from_date,
to_date, None):
# store (int timestamp in ms, str bid, str ofr, str volume)
if not self._read_only:
Database.inst().store_market_trade(
(self.name, market_id, data[0], data[1], data[2], data[3]))
candle = Candle(float(data[0]) * 0.001, timeframe)
candle.set_bid_ohlc(float(data[1]), float(data[2]), float(data[3]),
float(data[4]))
candle.set_ofr_ohlc(float(data[5]), float(data[6]), float(data[7]),
float(data[8]))
candle.set_volume(float(data[9]))
if candle.timestamp >= Instrument.basetime(timeframe, time.time()):
candle.set_consolidated(False) # current
last_ohlcs[timeframe].append(candle)
# only the last
self._last_ohlc[market_id][timeframe] = candle
# generate higher candles
for generator in generators:
candles = generator.generate_from_candles(
last_ohlcs[generator.from_tf], False)
if candles:
if not self._read_only:
for c in candles:
self.store_candle(market_id, generator.to_tf, c)
last_ohlcs[generator.to_tf].extend(candles)
# only the last as current
self._last_ohlc[market_id][generator.to_tf] = candles[-1]
elif generator.current:
self._last_ohlc[market_id][
generator.to_tf] = generator.current
# remove consumed candles
last_ohlcs[generator.from_tf] = []
n += 1
for k, ohlc in self._last_ohlc[market_id].items():
if ohlc:
ohlc.set_consolidated(False)
def update_ohlc(self, market_id, tf, ts, bid, ofr, volume):
"""
Update the current OHLC or create a new one, and save them.
@param market_id str Unique market identifier
@param tf float Timeframe (normalized timeframe at second)
@param ts float Timestamp of the update or of the tick/trade
@param bid float Bid price.
@param ofr float Offer/ask price.
@param volume float Volume transacted or 0 if unspecified.
"""
ended_ohlc = None
ohlc = None
# last ohlc per market id
last_ohlc_by_timeframe = self._last_ohlc.get(market_id)
if last_ohlc_by_timeframe is None:
# not found for this market insert it
self._last_ohlc[market_id] = {tf: None}
last_ohlc_by_timeframe = self._last_ohlc[market_id]
if tf not in last_ohlc_by_timeframe:
last_ohlc_by_timeframe[tf] = None
else:
ohlc = last_ohlc_by_timeframe[tf]
if ohlc and ts >= ohlc.timestamp + tf:
# need to close the current ohlc
ohlc.set_consolidated(True)
ended_ohlc = ohlc
last_ohlc_by_timeframe[tf] = None
ohlc = None
if ohlc is None:
# open a new one if necessary
base_time = Instrument.basetime(tf, ts)
ohlc = Candle(base_time, tf)
ohlc.set_consolidated(False)
if bid:
ohlc.set_bid(bid)
if ofr:
ohlc.set_ofr(ofr)
last_ohlc_by_timeframe[tf] = ohlc
if ts >= ohlc.timestamp:
# update the current OHLC
if volume:
ohlc._volume += volume
if bid:
if not ohlc._bid_open:
ohlc.set_bid(bid)
# update bid prices
ohlc._bid_high = max(ohlc._bid_high, bid)
ohlc._bid_low = min(ohlc._bid_low, bid)
# potential close
ohlc._bid_close = bid
if ofr:
if not ohlc.ofr_open:
ohlc.set_ofr(ofr)
# update ofr prices
ohlc._ofr_high = max(ohlc._ofr_high, ofr)
ohlc._ofr_low = min(ohlc._ofr_low, ofr)
# potential close
ohlc._ofr_close = ofr
# stored timeframes only
if ended_ohlc and (tf in self.STORED_TIMEFRAMES):
Database.inst().store_market_ohlc(
(self.name, market_id, int(ended_ohlc.timestamp * 1000), tf,
ended_ohlc.bid_open, ended_ohlc.bid_high, ended_ohlc.bid_low,
ended_ohlc.bid_close, ended_ohlc.ofr_open,
ended_ohlc.ofr_high, ended_ohlc.ofr_low, ended_ohlc.ofr_close,
ended_ohlc.volume))
return ohlc
def do_rebuilder(options):
Terminal.inst().info("Starting SIIS rebuilder using %s identity..." % options['identity'])
Terminal.inst().flush()
# database manager
Database.create(options)
Database.inst().setup(options)
timeframe = -1
cascaded = None
if not options.get('timeframe'):
timeframe = 60 # default to 1min
else:
if options['timeframe'] in TIMEFRAME_FROM_STR_MAP:
timeframe = TIMEFRAME_FROM_STR_MAP[options['timeframe']]
else:
try:
timeframe = int(options['timeframe'])
except:
pass
if not options.get('cascaded'):
cascaded = None
else:
if options['cascaded'] in TIMEFRAME_FROM_STR_MAP:
cascaded = TIMEFRAME_FROM_STR_MAP[options['cascaded']]
else:
try:
cascaded = int(options['cascaded'])
except:
pass
if timeframe < 0:
logger.error("Invalid timeframe")
sys.exit(-1)
from_date = options.get('from')
to_date = options.get('to')
if not to_date:
today = datetime.now().astimezone(UTC())
if timeframe == Instrument.TF_MONTH:
to_date = today + timedelta(months=1)
else:
to_date = today + timedelta(seconds=timeframe)
to_date = to_date.replace(microsecond=0)
timeframe = options['timeframe']
if timeframe > 0 and timeframe not in GENERATED_TF:
logger.error("Timeframe %i is not allowed !" % (timeframe,))
return
for market in options['market'].split(','):
if market.startswith('!') or market.startswith('*'):
continue
generators = []
from_tf = timeframe
last_ticks = []
last_ohlcs = {}
if timeframe == Instrument.TF_TICK:
tick_streamer = Database.inst().create_tick_streamer(options['broker'], market, from_date=from_date, to_date=to_date)
else:
ohlc_streamer = Database.inst().create_ohlc_streamer(options['broker'], market, timeframe, from_date=from_date, to_date=to_date)
# cascaded generation of candles
if cascaded:
for tf in GENERATED_TF:
if tf > timeframe:
# from timeframe greater than initial
if tf <= cascaded:
# until max cascaded timeframe
generators.append(CandleGenerator(from_tf, tf))
from_tf = tf
# store for generation
last_ohlcs[tf] = []
else:
from_tf = tf
if timeframe > 0:
last_ohlcs[timeframe] = []
n = 0
t = 0
timestamp = from_date.timestamp() + Instrument.TF_1M
if timeframe == 0:
while not tick_streamer.finished():
ticks = tick_streamer.next(timestamp)
timestamp += Instrument.TF_1M # by step of 1M
for data in ticks:
if generators:
last_ticks.append((float(data[0]) * 0.001, float(data[1]), float(data[2]), float(data[3])))
# generate higher candles
for generator in generators:
if generator.from_tf == 0:
candles = generator.generate_from_ticks(last_ticks)
if candles:
for c in candles:
store_ohlc(options['broker'], market, generator.to_tf, c)
last_ohlcs[generator.to_tf] += candles
# remove consumed ticks
last_ticks = []
else:
candles = generator.generate_from_candles(last_ohlcs[generator.from_tf])
if candles:
for c in candles:
store_ohlc(options['broker'], market, generator.to_tf, c)
last_ohlcs[generator.to_tf] += candles
# remove consumed candles
last_ohlcs[generator.from_tf] = []
n += 1
t += 1
if n == 1000:
n = 0
Terminal.inst().info("%i..." % t)
Terminal.inst().flush()
# calm down the storage of tick, if parsing is faster
while Database.inst().num_pending_ticks_storage() > TICK_STORAGE_DELAY:
time.sleep(TICK_STORAGE_DELAY) # wait a little before continue
logger.info("Read %i trades" % t)
elif timeframe > 0:
while not ohlc_streamer.finished():
ohlcs = ohlc_streamer.next(timestamp)
timestamp += Instrument.TF_1M # by step of 1M
for data in ohlcs:
if generators:
candle = Candle(float(data[0]) * 0.001, timeframe)
candle.set_bid_ohlc(float(data[1]), float(data[2]), float(data[3]), float(data[4]))
candle.set_ofr_ohlc(float(data[5]), float(data[6]), float(data[7]), float(data[8]))
candle.set_volume(float(data[9]))
candle.set_consolidated(True)
last_ohlcs[timeframe].append(candle)
# generate higher candles
for generator in generators:
candles = generator.generate_from_candles(last_ohlcs[generator.from_tf])
if candles:
for c in candles:
store_ohlc(options['broker'], market, generator.to_tf, c)
last_ohlcs[generator.to_tf].extend(candles)
# remove consumed candles
last_ohlcs[generator.from_tf] = []
n += 1
t += 1
if n == 1000:
n = 0
Terminal.inst().info("%i..." % t)
logger.info("Read %i candles" % t)
Terminal.inst().info("Flushing database...")
Terminal.inst().flush()
Database.terminate()
Terminal.inst().info("Rebuild done!")
Terminal.inst().flush()
Terminal.terminate()
sys.exit(0)