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Adjust imports to new location

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This commit is contained in:
Matthias 2019-05-25 16:53:35 +02:00
parent 9225cdea8a
commit b38c43141c
7 changed files with 22 additions and 26 deletions
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5
freqtrade/optimize/backtesting.py
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@ -13,7 +13,6 @@ from typing import Any, Dict, List, NamedTuple, Optional
from pandas import DataFrame
from tabulate import tabulate
from freqtrade import optimize
from freqtrade import DependencyException, constants
from freqtrade.arguments import Arguments
from freqtrade.configuration import Configuration
@ -440,9 +439,9 @@ class Backtesting(object):
logger.info("Running backtesting for Strategy %s", strat.get_strategy_name())
self._set_strategy(strat)
min_date, max_date = optimize.get_timeframe(data)
min_date, max_date = history.get_timeframe(data)
# Validate dataframe for missing values (mainly at start and end, as fillup is called)
optimize.validate_backtest_data(data, min_date, max_date,
history.validate_backtest_data(data, min_date, max_date,
timeframe_to_minutes(self.ticker_interval))
logger.info(
'Backtesting with data from %s up to %s (%s days)..',

3
freqtrade/optimize/hyperopt.py
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@ -23,9 +23,8 @@ from skopt.space import Dimension
from freqtrade import DependencyException
from freqtrade.arguments import Arguments
from freqtrade.configuration import Configuration
from freqtrade.data.history import load_data
from freqtrade.data.history import load_data, get_timeframe, validate_backtest_data
from freqtrade.exchange import timeframe_to_minutes
from freqtrade.optimize import get_timeframe, validate_backtest_data
from freqtrade.optimize.backtesting import Backtesting
from freqtrade.state import RunMode
from freqtrade.resolvers import HyperOptResolver

3
freqtrade/tests/data/test_converter.py
View File

@ -2,8 +2,7 @@
import logging
from freqtrade.data.converter import parse_ticker_dataframe, ohlcv_fill_up_missing_data
from freqtrade.data.history import load_pair_history
from freqtrade.optimize import validate_backtest_data, get_timeframe
from freqtrade.data.history import load_pair_history, validate_backtest_data, get_timeframe
from freqtrade.tests.conftest import log_has

12
freqtrade/tests/optimize/test_backtest_detail.py
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@ -2,17 +2,17 @@
import logging
from unittest.mock import MagicMock
from pandas import DataFrame
import pytest
from pandas import DataFrame
from freqtrade.optimize import get_timeframe
from freqtrade.data.history import get_timeframe
from freqtrade.optimize.backtesting import Backtesting
from freqtrade.strategy.interface import SellType
from freqtrade.tests.optimize import (BTrade, BTContainer, _build_backtest_dataframe,
_get_frame_time_from_offset, tests_ticker_interval)
from freqtrade.tests.conftest import patch_exchange
from freqtrade.tests.optimize import (BTContainer, BTrade,
_build_backtest_dataframe,
_get_frame_time_from_offset,
tests_ticker_interval)
# Test 1 Minus 8% Close
# Test with Stop-loss at 1%

6
freqtrade/tests/optimize/test_backtesting.py
View File

@ -17,7 +17,7 @@ from freqtrade.data import history
from freqtrade.data.btanalysis import evaluate_result_multi
from freqtrade.data.converter import parse_ticker_dataframe
from freqtrade.data.dataprovider import DataProvider
from freqtrade.optimize import get_timeframe
from freqtrade.data.history import get_timeframe
from freqtrade.optimize.backtesting import (Backtesting, setup_configuration,
start)
from freqtrade.state import RunMode
@ -472,7 +472,7 @@ def test_backtesting_start(default_conf, mocker, caplog) -> None:
return Arrow(2017, 11, 14, 21, 17), Arrow(2017, 11, 14, 22, 59)
mocker.patch('freqtrade.data.history.load_data', mocked_load_data)
mocker.patch('freqtrade.optimize.get_timeframe', get_timeframe)
mocker.patch('freqtrade.data.history.get_timeframe', get_timeframe)
mocker.patch('freqtrade.exchange.Exchange.refresh_latest_ohlcv', MagicMock())
patch_exchange(mocker)
mocker.patch.multiple(
@ -507,7 +507,7 @@ def test_backtesting_start_no_data(default_conf, mocker, caplog) -> None:
return Arrow(2017, 11, 14, 21, 17), Arrow(2017, 11, 14, 22, 59)
mocker.patch('freqtrade.data.history.load_data', MagicMock(return_value={}))
mocker.patch('freqtrade.optimize.get_timeframe', get_timeframe)
mocker.patch('freqtrade.data.history.get_timeframe', get_timeframe)
mocker.patch('freqtrade.exchange.Exchange.refresh_latest_ohlcv', MagicMock())
patch_exchange(mocker)
mocker.patch.multiple(

2
freqtrade/tests/optimize/test_hyperopt.py
View File

@ -12,7 +12,7 @@ from freqtrade.data.converter import parse_ticker_dataframe
from freqtrade.data.history import load_tickerdata_file
from freqtrade.optimize.default_hyperopt import DefaultHyperOpts
from freqtrade.optimize.hyperopt import Hyperopt, setup_configuration, start
from freqtrade.resolvers import HyperOptResolver
from freqtrade.resolvers.hyperopt_resolver import HyperOptResolver
from freqtrade.state import RunMode
from freqtrade.tests.conftest import log_has, log_has_re, patch_exchange
from freqtrade.tests.optimize.test_backtesting import get_args

11
freqtrade/tests/optimize/test_optimize.py
View File

@ -1,5 +1,4 @@
# pragma pylint: disable=missing-docstring, protected-access, C0103
from freqtrade import optimize
from freqtrade.arguments import TimeRange
from freqtrade.data import history
from freqtrade.exchange import timeframe_to_minutes
@ -18,7 +17,7 @@ def test_get_timeframe(default_conf, mocker) -> None:
pairs=['UNITTEST/BTC']
)
)
min_date, max_date = optimize.get_timeframe(data)
min_date, max_date = history.get_timeframe(data)
assert min_date.isoformat() == '2017-11-04T23:02:00+00:00'
assert max_date.isoformat() == '2017-11-14T22:58:00+00:00'
@ -35,9 +34,9 @@ def test_validate_backtest_data_warn(default_conf, mocker, caplog) -> None:
fill_up_missing=False
)
)
min_date, max_date = optimize.get_timeframe(data)
min_date, max_date = history.get_timeframe(data)
caplog.clear()
assert optimize.validate_backtest_data(data, min_date, max_date,
assert history.validate_backtest_data(data, min_date, max_date,
timeframe_to_minutes('1m'))
assert len(caplog.record_tuples) == 1
assert log_has(
@ -59,8 +58,8 @@ def test_validate_backtest_data(default_conf, mocker, caplog) -> None:
)
)
min_date, max_date = optimize.get_timeframe(data)
min_date, max_date = history.get_timeframe(data)
caplog.clear()
assert not optimize.validate_backtest_data(data, min_date, max_date,
assert not history.validate_backtest_data(data, min_date, max_date,
timeframe_to_minutes('5m'))
assert len(caplog.record_tuples) == 0