remove leftover dates from removing date filtering
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@ -15,7 +15,7 @@ logging.basicConfig(level=logging.DEBUG,
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logger = logging.getLogger(__name__)
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def parse_ticker_dataframe(ticker: list, minimum_date: arrow.Arrow) -> DataFrame:
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def parse_ticker_dataframe(ticker: list) -> DataFrame:
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"""
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Analyses the trend for the given pair
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:param pair: pair as str in format BTC_ETH or BTC-ETH
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@ -73,7 +73,7 @@ def analyze_ticker(pair: str) -> DataFrame:
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"""
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minimum_date = arrow.utcnow().shift(hours=-24)
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data = get_ticker_history(pair, minimum_date)
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dataframe = parse_ticker_dataframe(data['result'], minimum_date)
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dataframe = parse_ticker_dataframe(data['result'])
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if dataframe.empty:
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logger.warning('Empty dataframe for pair %s', pair)
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@ -1,7 +1,7 @@
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# pragma pylint: disable=missing-docstring
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from datetime import datetime
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import json
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import pytest
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import arrow
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from pandas import DataFrame
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from freqtrade.analyze import parse_ticker_dataframe, populate_buy_trend, populate_indicators, \
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@ -12,7 +12,7 @@ def result():
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with open('freqtrade/tests/testdata/btc-eth.json') as data_file:
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data = json.load(data_file)
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return parse_ticker_dataframe(data['result'], arrow.get('2017-08-30T10:00:00'))
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return parse_ticker_dataframe(data['result'])
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def test_dataframe_has_correct_columns(result):
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assert result.columns.tolist() == \
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@ -27,10 +27,10 @@ def test_populates_buy_trend(result):
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assert 'buy_price' in dataframe.columns
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def test_returns_latest_buy_signal(mocker):
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buydf = DataFrame([{'buy': 1, 'date': arrow.utcnow()}])
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buydf = DataFrame([{'buy': 1, 'date': datetime.today()}])
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mocker.patch('freqtrade.analyze.analyze_ticker', return_value=buydf)
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assert get_buy_signal('BTC-ETH')
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buydf = DataFrame([{'buy': 0, 'date': arrow.utcnow()}])
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buydf = DataFrame([{'buy': 0, 'date': datetime.today()}])
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mocker.patch('freqtrade.analyze.analyze_ticker', return_value=buydf)
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assert not get_buy_signal('BTC-ETH')
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