Fix some tests to use dataframe

This commit is contained in:
Matthias 2018-12-15 14:42:21 +01:00
parent 1c5031b468
commit 34ea214f7c
4 changed files with 8 additions and 4 deletions

View File

@ -32,6 +32,7 @@ def parse_ticker_dataframe(ticker: list) -> DataFrame:
'volume': 'max',
})
frame.drop(frame.tail(1).index, inplace=True) # eliminate partial candle
logger.debug('Droppling last candle')
return frame

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@ -339,7 +339,7 @@ def test_load_partial_missing(caplog) -> None:
# timedifference in 5 minutes
td = ((end - start).total_seconds() // 60 // 5) + 1
assert td != len(tickerdata['UNITTEST/BTC'])
start_real = arrow.get(tickerdata['UNITTEST/BTC'][0][0] / 1000)
start_real = tickerdata['UNITTEST/BTC'].iloc[0, 0]
assert log_has(f'Missing data at start for pair '
f'UNITTEST/BTC, data starts at {start_real.strftime("%Y-%m-%d %H:%M:%S")}',
caplog.record_tuples)
@ -354,7 +354,8 @@ def test_load_partial_missing(caplog) -> None:
# timedifference in 5 minutes
td = ((end - start).total_seconds() // 60 // 5) + 1
assert td != len(tickerdata['UNITTEST/BTC'])
end_real = arrow.get(tickerdata['UNITTEST/BTC'][-1][0] / 1000)
# Shift endtime with +5 - as last candle is dropped (partial candle)
end_real = arrow.get(tickerdata['UNITTEST/BTC'].iloc[-1, 0]).shift(minutes=5)
assert log_has(f'Missing data at end for pair '
f'UNITTEST/BTC, data ends at {end_real.strftime("%Y-%m-%d %H:%M:%S")}',
caplog.record_tuples)

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@ -10,6 +10,7 @@ import numpy as np
import pytest
from pandas import DataFrame, to_datetime
from freqtrade.data.converter import parse_ticker_dataframe
from freqtrade.edge import Edge, PairInfo
from freqtrade.strategy.interface import SellType
from freqtrade.tests.conftest import get_patched_freqtradebot
@ -280,7 +281,8 @@ def mocked_load_data(datadir, pairs=[], ticker_interval='0m', refresh_pairs=Fals
123.45
] for x in range(0, 500)]
pairdata = {'NEO/BTC': ETHBTC, 'LTC/BTC': LTCBTC}
pairdata = {'NEO/BTC': parse_ticker_dataframe(ETHBTC),
'LTC/BTC': parse_ticker_dataframe(LTCBTC)}
return pairdata

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@ -34,7 +34,7 @@ def test_datesarray_to_datetimearray(ticker_history_list):
def test_common_datearray(default_conf) -> None:
strategy = DefaultStrategy(default_conf)
tick = load_tickerdata_file(None, 'UNITTEST/BTC', '1m')
tickerlist = {'UNITTEST/BTC': tick}
tickerlist = {'UNITTEST/BTC': parse_ticker_dataframe(tick)}
dataframes = strategy.tickerdata_to_dataframe(tickerlist)
dates = common_datearray(dataframes)