more advanced use of --timerange

freqtrade/tests/optimize/test_backtesting.py

@@ -6,7 +6,7 @@ import pandas as pd
 from unittest.mock import MagicMock
 from freqtrade import exchange, optimize
 from freqtrade.exchange import Bittrex
-from freqtrade.optimize import preprocess, trim_tickerlist
+from freqtrade.optimize import preprocess
 from freqtrade.optimize.backtesting import backtest, generate_text_table, get_timeframe
 import freqtrade.optimize.backtesting as backtesting
 
@@ -60,8 +60,8 @@ def test_backtest_1min_ticker_interval(default_conf, mocker):
 
 
 def load_data_test(what):
-    data = optimize.load_data(None, ticker_interval=1, pairs=['BTC_UNITEST'])
-    data = trim_tickerlist(data, -100)
+    timerange = ((None, 'line'), None, -100)
+    data = optimize.load_data(None, ticker_interval=1, pairs=['BTC_UNITEST'], timerange=timerange)
     pair = data['BTC_UNITEST']
     datalen = len(pair)
     # Depending on the what parameter we now adjust the
@@ -142,10 +142,10 @@ def test_backtest_pricecontours(default_conf, mocker):
         simple_backtest(default_conf, contour, numres)
 
 
-def mocked_load_data(datadir, pairs=[], ticker_interval=0, refresh_pairs=False):
-    tickerdata = optimize.load_tickerdata_file(datadir, 'BTC_UNITEST', 1)
+def mocked_load_data(datadir, pairs=[], ticker_interval=0, refresh_pairs=False, timerange=None):
+    tickerdata = optimize.load_tickerdata_file(datadir, 'BTC_UNITEST', 1, timerange=timerange)
     pairdata = {'BTC_UNITEST': tickerdata}
-    return trim_tickerlist(pairdata, -100)
+    return pairdata
 
 
 def test_backtest_start(default_conf, mocker, caplog):
@@ -159,7 +159,7 @@ def test_backtest_start(default_conf, mocker, caplog):
     args.level = 10
     args.live = False
     args.datadir = None
-    args.timerange = None  # needed due to MagicMock malleability
+    args.timerange = '-100'  # needed due to MagicMock malleability
     backtesting.start(args)
     # check the logs, that will contain the backtest result
     exists = ['Using max_open_trades: 1 ...',

freqtrade/tests/optimize/test_hyperopt.py

@@ -62,7 +62,8 @@ def test_start_calls_fmin(mocker):
     mocker.patch('freqtrade.optimize.load_data')
     mock_fmin = mocker.patch('freqtrade.optimize.hyperopt.fmin', return_value={})
 
-    args = mocker.Mock(epochs=1, config='config.json.example', mongodb=False)
+    args = mocker.Mock(epochs=1, config='config.json.example', mongodb=False,
+                       timerange=None)
     start(args)
 
     mock_fmin.assert_called_once()
@@ -75,7 +76,8 @@ def test_start_uses_mongotrials(mocker):
     mocker.patch('freqtrade.optimize.load_data')
     mocker.patch('freqtrade.optimize.hyperopt.fmin', return_value={})
 
-    args = mocker.Mock(epochs=1, config='config.json.example', mongodb=True)
+    args = mocker.Mock(epochs=1, config='config.json.example', mongodb=True,
+                       timerange=None)
     start(args)
 
     mock_mongotrials.assert_called_once()
@@ -129,7 +131,8 @@ def test_fmin_best_results(mocker, caplog):
     mocker.patch('freqtrade.optimize.load_data')
     mocker.patch('freqtrade.optimize.hyperopt.fmin', return_value=fmin_result)
 
-    args = mocker.Mock(epochs=1, config='config.json.example')
+    args = mocker.Mock(epochs=1, config='config.json.example',
+                       timerange=None)
     start(args)
 
     exists = [
@@ -151,7 +154,8 @@ def test_fmin_throw_value_error(mocker, caplog):
     mocker.patch('freqtrade.optimize.load_data')
     mocker.patch('freqtrade.optimize.hyperopt.fmin', side_effect=ValueError())
 
-    args = mocker.Mock(epochs=1, config='config.json.example')
+    args = mocker.Mock(epochs=1, config='config.json.example',
+                       timerange=None)
     start(args)
 
     exists = [
@@ -185,7 +189,8 @@ def test_resuming_previous_hyperopt_results_succeeds(mocker):
                  return_value={})
     args = mocker.Mock(epochs=1,
                        config='config.json.example',
-                       mongodb=False)
+                       mongodb=False,
+                       timerange=None)
 
     start(args)
 

freqtrade/tests/optimize/test_optimize.py

@@ -177,7 +177,8 @@ def test_load_tickerdata_file():
 
 
 def test_tickerdata_to_dataframe():
-    tick = load_tickerdata_file(None, 'BTC_UNITEST', 1)
+    timerange = ((None, 'line'), None, -100)
+    tick = load_tickerdata_file(None, 'BTC_UNITEST', 1, timerange=timerange)
     tickerlist = {'BTC_UNITEST': tick}
-    data = optimize.tickerdata_to_dataframe(tickerlist, timerange=-100)
+    data = optimize.tickerdata_to_dataframe(tickerlist)
     assert 100 == len(data['BTC_UNITEST'])