Merge branch 'develop' of freqtrade into feature/overhaul-db-handling

This commit is contained in:
gcarq 2018-06-07 17:33:37 +02:00
commit 17742df591
11 changed files with 123 additions and 77 deletions

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@ -7,11 +7,23 @@ import argparse
import logging
import re
import arrow
from typing import List, Tuple, Optional
from typing import List, Optional, NamedTuple
from freqtrade import __version__, constants
class TimeRange(NamedTuple):
"""
NamedTuple Defining timerange inputs.
[start/stop]type defines if [start/stop]ts shall be used.
if *type is none, don't use corresponding startvalue.
"""
starttype: Optional[str] = None
stoptype: Optional[str] = None
startts: int = 0
stopts: int = 0
class Arguments(object):
"""
Arguments Class. Manage the arguments received by the cli
@ -224,15 +236,14 @@ class Arguments(object):
self.hyperopt_options(hyperopt_cmd)
@staticmethod
def parse_timerange(text: Optional[str]) -> \
Optional[Tuple[Tuple, Optional[int], Optional[int]]]:
def parse_timerange(text: Optional[str]) -> TimeRange:
"""
Parse the value of the argument --timerange to determine what is the range desired
:param text: value from --timerange
:return: Start and End range period
"""
if text is None:
return None
return TimeRange()
syntax = [(r'^-(\d{8})$', (None, 'date')),
(r'^(\d{8})-$', ('date', None)),
(r'^(\d{8})-(\d{8})$', ('date', 'date')),
@ -248,8 +259,8 @@ class Arguments(object):
if match: # Regex has matched
rvals = match.groups()
index = 0
start: Optional[int] = None
stop: Optional[int] = None
start: int = 0
stop: int = 0
if stype[0]:
starts = rvals[index]
if stype[0] == 'date':
@ -265,7 +276,7 @@ class Arguments(object):
else arrow.get(stops, 'YYYYMMDD').timestamp
else:
stop = int(stops)
return stype, start, stop
return TimeRange(stype[0], stype[1], start, stop)
raise Exception('Incorrect syntax for timerange "%s"' % text)
def scripts_options(self) -> None:

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@ -18,6 +18,8 @@ _API: ccxt.Exchange = None
_CONF: Dict = {}
API_RETRY_COUNT = 4
_CACHED_TICKER: Dict[str, Any] = {}
# Holds all open sell orders for dry_run
_DRY_RUN_OPEN_ORDERS: Dict[str, Any] = {}
@ -264,17 +266,29 @@ def get_tickers() -> Dict:
raise OperationalException(e)
# TODO: remove refresh argument, keeping it to keep track of where it was intended to be used
@retrier
def get_ticker(pair: str, refresh: Optional[bool] = True) -> dict:
try:
return _API.fetch_ticker(pair)
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
'Could not load ticker history due to {}. Message: {}'.format(
e.__class__.__name__, e))
except ccxt.BaseError as e:
raise OperationalException(e)
global _CACHED_TICKER
if refresh or pair not in _CACHED_TICKER.keys():
try:
data = _API.fetch_ticker(pair)
try:
_CACHED_TICKER[pair] = {
'bid': float(data['bid']),
'ask': float(data['ask']),
}
except KeyError as e:
logger.debug("Could not cache ticker data for %s", pair)
return data
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
'Could not load ticker history due to {}. Message: {}'.format(
e.__class__.__name__, e))
except ccxt.BaseError as e:
raise OperationalException(e)
else:
logger.info("returning cached ticker-data for %s", pair)
return _CACHED_TICKER[pair]
@retrier

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@ -9,39 +9,40 @@ import arrow
from freqtrade import misc, constants
from freqtrade.exchange import get_ticker_history
from freqtrade.arguments import TimeRange
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]:
def trim_tickerlist(tickerlist: List[Dict], timerange: TimeRange) -> List[Dict]:
if not tickerlist:
return tickerlist
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 start_index < len(tickerlist) and tickerlist[start_index][0] < start * 1000:
if timerange.starttype == 'line':
stop_index = timerange.startts
if timerange.starttype == 'index':
start_index = timerange.startts
elif timerange.starttype == 'date':
while (start_index < len(tickerlist) and
tickerlist[start_index][0] < timerange.startts * 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 stop_index > 0 and tickerlist[stop_index-1][0] > stop * 1000:
if timerange.stoptype == 'line':
start_index = len(tickerlist) + timerange.stopts
if timerange.stoptype == 'index':
stop_index = timerange.stopts
elif timerange.stoptype == 'date':
while (stop_index > 0 and
tickerlist[stop_index-1][0] > timerange.stopts * 1000):
stop_index -= 1
if start_index > stop_index:
raise ValueError(f'The timerange [{start},{stop}] is incorrect')
raise ValueError(f'The timerange [{timerange.startts},{timerange.stopts}] is incorrect')
return tickerlist[start_index:stop_index]
@ -49,7 +50,7 @@ def trim_tickerlist(tickerlist: List[Dict], timerange: Tuple[Tuple, int, int]) -
def load_tickerdata_file(
datadir: str, pair: str,
ticker_interval: str,
timerange: Optional[Tuple[Tuple, int, int]] = None) -> Optional[List[Dict]]:
timerange: Optional[TimeRange] = None) -> Optional[List[Dict]]:
"""
Load a pair from file,
:return dict OR empty if unsuccesful
@ -84,7 +85,7 @@ 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]:
timerange: TimeRange = TimeRange()) -> Dict[str, List]:
"""
Loads ticker history data for the given parameters
:return: dict
@ -124,7 +125,7 @@ def make_testdata_path(datadir: str) -> str:
def download_pairs(datadir, pairs: List[str],
ticker_interval: str,
timerange: Optional[Tuple[Tuple, int, int]] = None) -> bool:
timerange: TimeRange = TimeRange()) -> bool:
"""For each pairs passed in parameters, download the ticker intervals"""
for pair in pairs:
try:
@ -144,7 +145,7 @@ def download_pairs(datadir, pairs: List[str],
def load_cached_data_for_updating(filename: str,
tick_interval: str,
timerange: Optional[Tuple[Tuple, int, int]]) -> Tuple[
timerange: Optional[TimeRange]) -> Tuple[
List[Any],
Optional[int]]:
"""
@ -155,10 +156,10 @@ def load_cached_data_for_updating(filename: str,
# user sets timerange, so find the start time
if timerange:
if timerange[0][0] == 'date':
since_ms = timerange[1] * 1000
elif timerange[0][1] == 'line':
num_minutes = timerange[2] * constants.TICKER_INTERVAL_MINUTES[tick_interval]
if timerange.starttype == 'date':
since_ms = timerange.startts * 1000
elif timerange.stoptype == 'line':
num_minutes = timerange.stopts * constants.TICKER_INTERVAL_MINUTES[tick_interval]
since_ms = arrow.utcnow().shift(minutes=num_minutes).timestamp * 1000
# read the cached file
@ -188,7 +189,7 @@ def load_cached_data_for_updating(filename: str,
def download_backtesting_testdata(datadir: str,
pair: str,
tick_interval: str = '5m',
timerange: Optional[Tuple[Tuple, int, int]] = None) -> None:
timerange: Optional[TimeRange] = None) -> None:
"""
Download the latest ticker intervals from the exchange for the pairs passed in parameters

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@ -221,7 +221,7 @@ class Backtesting(object):
timerange = Arguments.parse_timerange(None if self.config.get(
'timerange') is None else str(self.config.get('timerange')))
data = optimize.load_data( # type: ignore # timerange will be refactored
data = optimize.load_data(
self.config['datadir'],
pairs=pairs,
ticker_interval=self.ticker_interval,

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@ -497,7 +497,7 @@ class Hyperopt(Backtesting):
def start(self) -> None:
timerange = Arguments.parse_timerange(None if self.config.get(
'timerange') is None else str(self.config.get('timerange')))
data = load_data( # type: ignore # timerange will be refactored
data = load_data(
datadir=str(self.config.get('datadir')),
pairs=self.config['exchange']['pair_whitelist'],
ticker_interval=self.ticker_interval,

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@ -310,9 +310,19 @@ def test_get_ticker(default_conf, mocker):
# if not fetching a new result we should get the cached ticker
ticker = get_ticker(pair='ETH/BTC')
assert api_mock.fetch_ticker.call_count == 1
assert ticker['bid'] == 0.5
assert ticker['ask'] == 1
assert 'ETH/BTC' in exchange._CACHED_TICKER
assert exchange._CACHED_TICKER['ETH/BTC']['bid'] == 0.5
assert exchange._CACHED_TICKER['ETH/BTC']['ask'] == 1
# Test caching
api_mock.fetch_ticker = MagicMock()
get_ticker(pair='ETH/BTC', refresh=False)
assert api_mock.fetch_ticker.call_count == 0
with pytest.raises(TemporaryError): # test retrier
api_mock.fetch_ticker = MagicMock(side_effect=ccxt.NetworkError)
mocker.patch('freqtrade.exchange._API', api_mock)
@ -323,6 +333,10 @@ def test_get_ticker(default_conf, mocker):
mocker.patch('freqtrade.exchange._API', api_mock)
get_ticker(pair='ETH/BTC', refresh=True)
api_mock.fetch_ticker = MagicMock(return_value={})
mocker.patch('freqtrade.exchange._API', api_mock)
get_ticker(pair='ETH/BTC', refresh=True)
def make_fetch_ohlcv_mock(data):
def fetch_ohlcv_mock(pair, timeframe, since):

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@ -13,7 +13,7 @@ from arrow import Arrow
from freqtrade import optimize
from freqtrade.analyze import Analyze
from freqtrade.arguments import Arguments
from freqtrade.arguments import Arguments, TimeRange
from freqtrade.optimize.backtesting import Backtesting, start, setup_configuration
from freqtrade.tests.conftest import log_has
@ -30,7 +30,7 @@ def trim_dictlist(dict_list, num):
def load_data_test(what):
timerange = ((None, 'line'), None, -100)
timerange = TimeRange(None, 'line', 0, -100)
data = optimize.load_data(None, ticker_interval='1m',
pairs=['UNITTEST/BTC'], timerange=timerange)
pair = data['UNITTEST/BTC']
@ -311,7 +311,7 @@ def test_tickerdata_to_dataframe(default_conf, mocker) -> None:
Test Backtesting.tickerdata_to_dataframe() method
"""
mocker.patch('freqtrade.exchange.validate_pairs', MagicMock(return_value=True))
timerange = ((None, 'line'), None, -100)
timerange = TimeRange(None, 'line', 0, -100)
tick = optimize.load_tickerdata_file(None, 'UNITTEST/BTC', '1m', timerange=timerange)
tickerlist = {'UNITTEST/BTC': tick}

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@ -11,6 +11,7 @@ from freqtrade.misc import file_dump_json
from freqtrade.optimize.__init__ import make_testdata_path, download_pairs, \
download_backtesting_testdata, load_tickerdata_file, trim_tickerlist, \
load_cached_data_for_updating
from freqtrade.arguments import TimeRange
from freqtrade.tests.conftest import log_has
# Change this if modifying UNITTEST/BTC testdatafile
@ -176,7 +177,7 @@ def test_load_cached_data_for_updating(mocker) -> None:
# timeframe starts earlier than the cached data
# should fully update data
timerange = (('date', None), test_data[0][0] / 1000 - 1, None)
timerange = TimeRange('date', None, test_data[0][0] / 1000 - 1, 0)
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
timerange)
@ -187,13 +188,13 @@ def test_load_cached_data_for_updating(mocker) -> None:
num_lines = (test_data[-1][0] - test_data[1][0]) / 1000 / 60 + 120
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
((None, 'line'), None, -num_lines))
TimeRange(None, 'line', 0, -num_lines))
assert data == []
assert start_ts < test_data[0][0] - 1
# timeframe starts in the center of the cached data
# should return the chached data w/o the last item
timerange = (('date', None), test_data[0][0] / 1000 + 1, None)
timerange = TimeRange('date', None, test_data[0][0] / 1000 + 1, 0)
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
timerange)
@ -202,7 +203,7 @@ def test_load_cached_data_for_updating(mocker) -> None:
# same with 'line' timeframe
num_lines = (test_data[-1][0] - test_data[1][0]) / 1000 / 60 + 30
timerange = ((None, 'line'), None, -num_lines)
timerange = TimeRange(None, 'line', 0, -num_lines)
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
timerange)
@ -211,7 +212,7 @@ def test_load_cached_data_for_updating(mocker) -> None:
# timeframe starts after the chached data
# should return the chached data w/o the last item
timerange = (('date', None), test_data[-1][0] / 1000 + 1, None)
timerange = TimeRange('date', None, test_data[-1][0] / 1000 + 1, 0)
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
timerange)
@ -220,7 +221,7 @@ def test_load_cached_data_for_updating(mocker) -> None:
# same with 'line' timeframe
num_lines = 30
timerange = ((None, 'line'), None, -num_lines)
timerange = TimeRange(None, 'line', 0, -num_lines)
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
timerange)
@ -230,7 +231,7 @@ def test_load_cached_data_for_updating(mocker) -> None:
# no timeframe is set
# should return the chached data w/o the last item
num_lines = 30
timerange = ((None, 'line'), None, -num_lines)
timerange = TimeRange(None, 'line', 0, -num_lines)
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
timerange)
@ -239,7 +240,7 @@ def test_load_cached_data_for_updating(mocker) -> None:
# no datafile exist
# should return timestamp start time
timerange = (('date', None), now_ts - 10000, None)
timerange = TimeRange('date', None, now_ts - 10000, 0)
data, start_ts = load_cached_data_for_updating(test_filename + 'unexist',
'1m',
timerange)
@ -248,7 +249,7 @@ def test_load_cached_data_for_updating(mocker) -> None:
# same with 'line' timeframe
num_lines = 30
timerange = ((None, 'line'), None, -num_lines)
timerange = TimeRange(None, 'line', 0, -num_lines)
data, start_ts = load_cached_data_for_updating(test_filename + 'unexist',
'1m',
timerange)
@ -343,7 +344,7 @@ def test_trim_tickerlist() -> None:
# Test the pattern ^(-\d+)$
# This pattern uses the latest N elements
timerange = ((None, 'line'), None, -5)
timerange = TimeRange(None, 'line', 0, -5)
ticker = trim_tickerlist(ticker_list, timerange)
ticker_len = len(ticker)
@ -353,7 +354,7 @@ def test_trim_tickerlist() -> None:
# Test the pattern ^(\d+)-$
# This pattern keep X element from the end
timerange = (('line', None), 5, None)
timerange = TimeRange('line', None, 5, 0)
ticker = trim_tickerlist(ticker_list, timerange)
ticker_len = len(ticker)
@ -363,7 +364,7 @@ def test_trim_tickerlist() -> None:
# Test the pattern ^(\d+)-(\d+)$
# This pattern extract a window
timerange = (('index', 'index'), 5, 10)
timerange = TimeRange('index', 'index', 5, 10)
ticker = trim_tickerlist(ticker_list, timerange)
ticker_len = len(ticker)
@ -374,7 +375,7 @@ def test_trim_tickerlist() -> None:
# Test the pattern ^(\d{8})-(\d{8})$
# This pattern extract a window between the dates
timerange = (('date', 'date'), ticker_list[5][0] / 1000, ticker_list[10][0] / 1000 - 1)
timerange = TimeRange('date', 'date', ticker_list[5][0] / 1000, ticker_list[10][0] / 1000 - 1)
ticker = trim_tickerlist(ticker_list, timerange)
ticker_len = len(ticker)
@ -385,7 +386,7 @@ def test_trim_tickerlist() -> None:
# Test the pattern ^-(\d{8})$
# This pattern extracts elements from the start to the date
timerange = ((None, 'date'), None, ticker_list[10][0] / 1000 - 1)
timerange = TimeRange(None, 'date', 0, ticker_list[10][0] / 1000 - 1)
ticker = trim_tickerlist(ticker_list, timerange)
ticker_len = len(ticker)
@ -395,7 +396,7 @@ def test_trim_tickerlist() -> None:
# Test the pattern ^(\d{8})-$
# This pattern extracts elements from the date to now
timerange = (('date', None), ticker_list[10][0] / 1000 - 1, None)
timerange = TimeRange('date', None, ticker_list[10][0] / 1000 - 1, None)
ticker = trim_tickerlist(ticker_list, timerange)
ticker_len = len(ticker)
@ -405,7 +406,7 @@ def test_trim_tickerlist() -> None:
# Test a wrong pattern
# This pattern must return the list unchanged
timerange = ((None, None), None, 5)
timerange = TimeRange(None, None, None, 5)
ticker = trim_tickerlist(ticker_list, timerange)
ticker_len = len(ticker)

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@ -13,6 +13,7 @@ from pandas import DataFrame
from freqtrade.analyze import Analyze, SignalType
from freqtrade.optimize.__init__ import load_tickerdata_file
from freqtrade.arguments import TimeRange
from freqtrade.tests.conftest import log_has
# Avoid to reinit the same object again and again
@ -183,7 +184,7 @@ def test_tickerdata_to_dataframe(default_conf) -> None:
"""
analyze = Analyze(default_conf)
timerange = ((None, 'line'), None, -100)
timerange = TimeRange(None, 'line', 0, -100)
tick = load_tickerdata_file(None, 'UNITTEST/BTC', '1m', timerange=timerange)
tickerlist = {'UNITTEST/BTC': tick}
data = analyze.tickerdata_to_dataframe(tickerlist)

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@ -9,7 +9,7 @@ import logging
import pytest
from freqtrade.arguments import Arguments
from freqtrade.arguments import Arguments, TimeRange
def test_arguments_object() -> None:
@ -107,20 +107,24 @@ def test_parse_args_dynamic_whitelist_invalid_values() -> None:
def test_parse_timerange_incorrect() -> None:
assert ((None, 'line'), None, -200) == Arguments.parse_timerange('-200')
assert (('line', None), 200, None) == Arguments.parse_timerange('200-')
assert (('index', 'index'), 200, 500) == Arguments.parse_timerange('200-500')
assert TimeRange(None, 'line', 0, -200) == Arguments.parse_timerange('-200')
assert TimeRange('line', None, 200, 0) == Arguments.parse_timerange('200-')
assert TimeRange('index', 'index', 200, 500) == Arguments.parse_timerange('200-500')
assert (('date', None), 1274486400, None) == Arguments.parse_timerange('20100522-')
assert ((None, 'date'), None, 1274486400) == Arguments.parse_timerange('-20100522')
assert TimeRange('date', None, 1274486400, 0) == Arguments.parse_timerange('20100522-')
assert TimeRange(None, 'date', 0, 1274486400) == Arguments.parse_timerange('-20100522')
timerange = Arguments.parse_timerange('20100522-20150730')
assert timerange == (('date', 'date'), 1274486400, 1438214400)
assert timerange == TimeRange('date', 'date', 1274486400, 1438214400)
# Added test for unix timestamp - BTC genesis date
assert (('date', None), 1231006505, None) == Arguments.parse_timerange('1231006505-')
assert ((None, 'date'), None, 1233360000) == Arguments.parse_timerange('-1233360000')
assert TimeRange('date', None, 1231006505, 0) == Arguments.parse_timerange('1231006505-')
assert TimeRange(None, 'date', 0, 1233360000) == Arguments.parse_timerange('-1233360000')
timerange = Arguments.parse_timerange('1231006505-1233360000')
assert timerange == (('date', 'date'), 1231006505, 1233360000)
assert TimeRange('date', 'date', 1231006505, 1233360000) == timerange
# TODO: Find solution for the following case (passing timestamp in ms)
timerange = Arguments.parse_timerange('1231006505000-1233360000000')
assert TimeRange('date', 'date', 1231006505, 1233360000) != timerange
with pytest.raises(Exception, match=r'Incorrect syntax.*'):
Arguments.parse_timerange('-')

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@ -1,4 +1,4 @@
ccxt==1.14.121
ccxt==1.14.155
SQLAlchemy==1.2.8
python-telegram-bot==10.1.0
arrow==0.12.1
@ -10,14 +10,14 @@ pandas==0.23.0
scikit-learn==0.19.1
scipy==1.1.0
jsonschema==2.6.0
numpy==1.14.3
numpy==1.14.4
TA-Lib==0.4.17
pytest==3.6.0
pytest==3.6.1
pytest-mock==1.10.0
pytest-cov==2.5.1
hyperopt==0.1
# do not upgrade networkx before this is fixed https://github.com/hyperopt/hyperopt/issues/325
networkx==1.11
networkx==1.11 # pyup: ignore
tabulate==0.8.2
coinmarketcap==5.0.3