stable/freqtrade/optimize/__init__.py
2018-04-28 00:30:42 +03:00

211 lines
6.6 KiB
Python

# pragma pylint: disable=missing-docstring
import gzip
import json
import logging
import os
import arrow
from typing import Optional, List, Dict, Tuple
from freqtrade import misc
from freqtrade.exchange import get_ticker_history
from freqtrade.constants import Constants
from user_data.hyperopt_conf import hyperopt_optimize_conf
logger = logging.getLogger(__name__)
def trim_tickerlist(tickerlist: List[Dict], timerange: Tuple[Tuple, int, int]) -> List[Dict]:
stype, start, stop = timerange
start_index = 0
stop_index = len(tickerlist)
if stype[0] == 'line':
stop_index = start
if stype[0] == 'index':
start_index = start
elif stype[0] == 'date':
while tickerlist[start_index][0] < start * 1000:
start_index += 1
if stype[1] == 'line':
start_index = len(tickerlist) + stop
if stype[1] == 'index':
stop_index = stop
elif stype[1] == 'date':
while tickerlist[stop_index-1][0] > stop * 1000:
stop_index -= 1
if start_index > stop_index:
raise ValueError(f'The timerange [{start},{stop}] is incorrect')
return tickerlist[start_index:stop_index]
def load_tickerdata_file(
datadir: str, pair: str,
ticker_interval: str,
timerange: Optional[Tuple[Tuple, int, int]] = None) -> Optional[List[Dict]]:
"""
Load a pair from file,
:return dict OR empty if unsuccesful
"""
path = make_testdata_path(datadir)
pair_file_string = pair.replace('/', '_')
file = os.path.join(path, '{pair}-{ticker_interval}.json'.format(
pair=pair_file_string,
ticker_interval=ticker_interval,
))
gzipfile = file + '.gz'
# If the file does not exist we download it when None is returned.
# If file exists, read the file, load the json
if os.path.isfile(gzipfile):
logger.debug('Loading ticker data from file %s', gzipfile)
with gzip.open(gzipfile) as tickerdata:
pairdata = json.load(tickerdata)
elif os.path.isfile(file):
logger.debug('Loading ticker data from file %s', file)
with open(file) as tickerdata:
pairdata = json.load(tickerdata)
else:
return None
if timerange:
pairdata = trim_tickerlist(pairdata, timerange)
return pairdata
def load_data(datadir: str,
ticker_interval: str,
pairs: Optional[List[str]] = None,
refresh_pairs: Optional[bool] = False,
timerange: Optional[Tuple[Tuple, int, int]] = None) -> Dict[str, List]:
"""
Loads ticker history data for the given parameters
:return: dict
"""
result = {}
_pairs = pairs or hyperopt_optimize_conf()['exchange']['pair_whitelist']
# If the user force the refresh of pairs
if refresh_pairs:
logger.info('Download data for all pairs and store them in %s', datadir)
download_pairs(datadir, _pairs, ticker_interval, timerange=timerange)
for pair in _pairs:
pairdata = load_tickerdata_file(datadir, pair, ticker_interval, timerange=timerange)
if not pairdata:
# download the tickerdata from exchange
download_backtesting_testdata(datadir, pair=pair, interval=ticker_interval)
# and retry reading the pair
pairdata = load_tickerdata_file(datadir, pair, ticker_interval, timerange=timerange)
result[pair] = pairdata
return result
def make_testdata_path(datadir: str) -> str:
"""Return the path where testdata files are stored"""
return datadir or os.path.abspath(
os.path.join(
os.path.dirname(__file__), '..', 'tests', 'testdata'
)
)
def download_pairs(datadir, pairs: List[str],
ticker_interval: str,
timerange: Optional[Tuple[Tuple, int, int]] = None) -> bool:
"""For each pairs passed in parameters, download the ticker intervals"""
for pair in pairs:
try:
download_backtesting_testdata(datadir,
pair=pair,
interval=ticker_interval,
timerange=timerange)
except BaseException:
logger.info(
'Failed to download the pair: "%s", Interval: %s',
pair,
ticker_interval
)
return False
return True
def get_start_ts_from_timerange(timerange: Tuple[Tuple, int, int], interval: str) -> int:
if not timerange:
return None
if timerange[0][0] == 'date':
return timerange[1] * 1000
if timerange[0][1] == 'line':
num_minutes = timerange[2] * Constants.TICKER_INTERVAL_MINUTES[interval]
return arrow.utcnow().shift(minutes=num_minutes).timestamp * 1000
return None
# FIX: 20180110, suggest rename interval to tick_interval
def download_backtesting_testdata(datadir: str,
pair: str,
interval: str = '5m',
timerange: Optional[Tuple[Tuple, int, int]] = None) -> bool:
"""
Download the latest ticker intervals from the exchange for the pairs passed in parameters
Based on @Rybolov work: https://github.com/rybolov/freqtrade-data
:param pairs: list of pairs to download
:param interval: ticker interval
:param timerange: range of time to download
:return: bool
"""
path = make_testdata_path(datadir)
logger.info(
'Download the pair: "%s", Interval: %s',
pair,
interval
)
filepair = pair.replace("/", "_")
filename = os.path.join(path, '{pair}-{interval}.json'.format(
pair=filepair,
interval=interval,
))
since = get_start_ts_from_timerange(timerange, interval)
if os.path.isfile(filename):
with open(filename, "rt") as file:
data = json.load(file)
if since:
if since < data[0][0]:
# fully update the data
data = []
else:
# download unexist data only
since = max(since, data[-1][0] + 1)
else:
# download unexist data only
since = data[-1][0] + 1
else:
data = []
logger.debug("Current Start: %s", misc.format_ms_time(data[1][0]) if data else 'None')
logger.debug("Current End: %s", misc.format_ms_time(data[-1][0]) if data else 'None')
new_data = get_ticker_history(pair=pair, tick_interval=interval, since=since)
data.extend(new_data)
logger.debug("New Start: %s", misc.format_ms_time(data[0][0]))
logger.debug("New End: %s", misc.format_ms_time(data[-1][0]))
misc.file_dump_json(filename, data)
return True