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Correct imports and calls to parse_timerange

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This commit is contained in:
Matthias 2019-08-14 10:07:32 +02:00
parent 06fa07e73e
commit 51c3a31bb5
9 changed files with 18 additions and 17 deletions
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3
freqtrade/configuration/__init__.py
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@ -1,2 +1,3 @@
from freqtrade.configuration.arguments import Arguments, TimeRange # noqa: F401
from freqtrade.configuration.arguments import Arguments # noqa: F401
from freqtrade.configuration.timerange import TimeRange # noqa: F401
from freqtrade.configuration.configuration import Configuration # noqa: F401

4
freqtrade/edge/__init__.py
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@ -10,7 +10,7 @@ import utils_find_1st as utf1st
from pandas import DataFrame
from freqtrade import constants, OperationalException
from freqtrade.configuration import Arguments, TimeRange
from freqtrade.configuration import TimeRange
from freqtrade.data import history
from freqtrade.strategy.interface import SellType
@ -75,7 +75,7 @@ class Edge():
self._stoploss_range_step
)
self._timerange: TimeRange = Arguments.parse_timerange("%s-" % arrow.now().shift(
self._timerange: TimeRange = TimeRange.parse_timerange("%s-" % arrow.now().shift(
days=-1 * self._since_number_of_days).format('YYYYMMDD'))
self.fee = self.exchange.get_fee()

4
freqtrade/optimize/backtesting.py
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@ -12,7 +12,7 @@ from typing import Any, Dict, List, NamedTuple, Optional
from pandas import DataFrame
from freqtrade import OperationalException
from freqtrade.configuration import Arguments
from freqtrade.configuration import TimeRange
from freqtrade.data import history
from freqtrade.data.dataprovider import DataProvider
from freqtrade.exchange import timeframe_to_minutes
@ -404,7 +404,7 @@ class Backtesting(object):
logger.info('Using stake_currency: %s ...', self.config['stake_currency'])
logger.info('Using stake_amount: %s ...', self.config['stake_amount'])
timerange = Arguments.parse_timerange(None if self.config.get(
timerange = TimeRange.parse_timerange(None if self.config.get(
'timerange') is None else str(self.config.get('timerange')))
data = history.load_data(
datadir=Path(self.config['datadir']) if self.config.get('datadir') else None,

4
freqtrade/optimize/edge_cli.py
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@ -9,7 +9,7 @@ from tabulate import tabulate
from freqtrade import constants
from freqtrade.edge import Edge
from freqtrade.configuration import Arguments
from freqtrade.configuration import TimeRange
from freqtrade.exchange import Exchange
from freqtrade.resolvers import StrategyResolver
@ -41,7 +41,7 @@ class EdgeCli(object):
self.edge = Edge(config, self.exchange, self.strategy)
self.edge._refresh_pairs = self.config.get('refresh_pairs', False)
self.timerange = Arguments.parse_timerange(None if self.config.get(
self.timerange = TimeRange.parse_timerange(None if self.config.get(
'timerange') is None else str(self.config.get('timerange')))
self.edge._timerange = self.timerange

4
freqtrade/optimize/hyperopt.py
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@ -20,7 +20,7 @@ from pandas import DataFrame
from skopt import Optimizer
from skopt.space import Dimension
from freqtrade.configuration import Arguments
from freqtrade.configuration import TimeRange
from freqtrade.data.history import load_data, get_timeframe
from freqtrade.optimize.backtesting import Backtesting
# Import IHyperOptLoss to allow users import from this file
@ -310,7 +310,7 @@ class Hyperopt(Backtesting):
)
def start(self) -> None:
timerange = Arguments.parse_timerange(None if self.config.get(
timerange = TimeRange.parse_timerange(None if self.config.get(
'timerange') is None else str(self.config.get('timerange')))
data = load_data(
datadir=Path(self.config['datadir']) if self.config.get('datadir') else None,

4
freqtrade/plot/plotting.py
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@ -4,7 +4,7 @@ from typing import Dict, List, Optional
import pandas as pd
from freqtrade.configuration import Arguments
from freqtrade.configuration import TimeRange
from freqtrade.data import history
from freqtrade.data.btanalysis import (combine_tickers_with_mean,
create_cum_profit, load_trades)
@ -42,7 +42,7 @@ def init_plotscript(config):
pairs = config["exchange"]["pair_whitelist"]
# Set timerange to use
timerange = Arguments.parse_timerange(config.get("timerange"))
timerange = TimeRange.parse_timerange(config.get("timerange"))
tickers = history.load_data(
datadir=Path(str(config.get("datadir"))),

4
freqtrade/tests/data/test_btanalysis.py
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@ -4,7 +4,7 @@ import pytest
from arrow import Arrow
from pandas import DataFrame, to_datetime
from freqtrade.configuration import Arguments, TimeRange
from freqtrade.configuration import TimeRange
from freqtrade.data.btanalysis import (BT_DATA_COLUMNS,
combine_tickers_with_mean,
create_cum_profit,
@ -121,7 +121,7 @@ def test_combine_tickers_with_mean():
def test_create_cum_profit():
filename = make_testdata_path(None) / "backtest-result_test.json"
bt_data = load_backtest_data(filename)
timerange = Arguments.parse_timerange("20180110-20180112")
timerange = TimeRange.parse_timerange("20180110-20180112")
df = load_pair_history(pair="POWR/BTC", ticker_interval='5m',
datadir=None, timerange=timerange)

6
freqtrade/tests/test_plotting.py
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@ -5,7 +5,7 @@ from unittest.mock import MagicMock
import plotly.graph_objects as go
from plotly.subplots import make_subplots
from freqtrade.configuration import Arguments, TimeRange
from freqtrade.configuration import TimeRange
from freqtrade.data import history
from freqtrade.data.btanalysis import create_cum_profit, load_backtest_data
from freqtrade.plot.plotting import (add_indicators, add_profit,
@ -222,7 +222,7 @@ def test_generate_plot_file(mocker, caplog):
def test_add_profit():
filename = history.make_testdata_path(None) / "backtest-result_test.json"
bt_data = load_backtest_data(filename)
timerange = Arguments.parse_timerange("20180110-20180112")
timerange = TimeRange.parse_timerange("20180110-20180112")
df = history.load_pair_history(pair="POWR/BTC", ticker_interval='5m',
datadir=None, timerange=timerange)
@ -242,7 +242,7 @@ def test_add_profit():
def test_generate_profit_graph():
filename = history.make_testdata_path(None) / "backtest-result_test.json"
trades = load_backtest_data(filename)
timerange = Arguments.parse_timerange("20180110-20180112")
timerange = TimeRange.parse_timerange("20180110-20180112")
pairs = ["POWR/BTC", "XLM/BTC"]
tickers = history.load_data(datadir=None,

2
scripts/download_backtest_data.py
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@ -105,7 +105,7 @@ if not pairs or args.pairs_file:
timerange = TimeRange()
if args.days:
time_since = arrow.utcnow().shift(days=-args.days).strftime("%Y%m%d")
timerange = arguments.parse_timerange(f'{time_since}-')
timerange = TimeRange.parse_timerange(f'{time_since}-')
logger.info(f'About to download pairs: {pairs}, intervals: {timeframes} to {dl_path}')