# pragma pylint: disable=missing-docstring, C0103 import logging from freqtrade.data.converter import parse_ticker_dataframe, ohlcv_fill_up_missing_data from freqtrade.data.history import load_pair_history, validate_backtest_data, get_timeframe from tests.conftest import log_has def test_dataframe_correct_columns(result): assert result.columns.tolist() == ['date', 'open', 'high', 'low', 'close', 'volume'] def test_parse_ticker_dataframe(ticker_history_list, caplog): columns = ['date', 'open', 'high', 'low', 'close', 'volume'] caplog.set_level(logging.DEBUG) # Test file with BV data dataframe = parse_ticker_dataframe(ticker_history_list, '5m', pair="UNITTEST/BTC", fill_missing=True) assert dataframe.columns.tolist() == columns assert log_has('Parsing tickerlist to dataframe', caplog) def test_ohlcv_fill_up_missing_data(testdatadir, caplog): data = load_pair_history(datadir=testdatadir, timeframe='1m', pair='UNITTEST/BTC', fill_up_missing=False) caplog.set_level(logging.DEBUG) data2 = ohlcv_fill_up_missing_data(data, '1m', 'UNITTEST/BTC') assert len(data2) > len(data) # Column names should not change assert (data.columns == data2.columns).all() assert log_has(f"Missing data fillup for UNITTEST/BTC: before: " f"{len(data)} - after: {len(data2)}", caplog) # Test fillup actually fixes invalid backtest data min_date, max_date = get_timeframe({'UNITTEST/BTC': data}) assert validate_backtest_data(data, 'UNITTEST/BTC', min_date, max_date, 1) assert not validate_backtest_data(data2, 'UNITTEST/BTC', min_date, max_date, 1) def test_ohlcv_fill_up_missing_data2(caplog): timeframe = '5m' ticks = [[ 1511686200000, # 8:50:00 8.794e-05, # open 8.948e-05, # high 8.794e-05, # low 8.88e-05, # close 2255, # volume (in quote currency) ], [ 1511686500000, # 8:55:00 8.88e-05, 8.942e-05, 8.88e-05, 8.893e-05, 9911, ], [ 1511687100000, # 9:05:00 8.891e-05, 8.893e-05, 8.875e-05, 8.877e-05, 2251 ], [ 1511687400000, # 9:10:00 8.877e-05, 8.883e-05, 8.895e-05, 8.817e-05, 123551 ] ] # Generate test-data without filling missing data = parse_ticker_dataframe(ticks, timeframe, pair="UNITTEST/BTC", fill_missing=False) assert len(data) == 3 caplog.set_level(logging.DEBUG) data2 = ohlcv_fill_up_missing_data(data, timeframe, "UNITTEST/BTC") assert len(data2) == 4 # 3rd candle has been filled row = data2.loc[2, :] assert row['volume'] == 0 # close shoult match close of previous candle assert row['close'] == data.loc[1, 'close'] assert row['open'] == row['close'] assert row['high'] == row['close'] assert row['low'] == row['close'] # Column names should not change assert (data.columns == data2.columns).all() assert log_has(f"Missing data fillup for UNITTEST/BTC: before: " f"{len(data)} - after: {len(data2)}", caplog) def test_ohlcv_drop_incomplete(caplog): timeframe = '1d' ticks = [[ 1559750400000, # 2019-06-04 8.794e-05, # open 8.948e-05, # high 8.794e-05, # low 8.88e-05, # close 2255, # volume (in quote currency) ], [ 1559836800000, # 2019-06-05 8.88e-05, 8.942e-05, 8.88e-05, 8.893e-05, 9911, ], [ 1559923200000, # 2019-06-06 8.891e-05, 8.893e-05, 8.875e-05, 8.877e-05, 2251 ], [ 1560009600000, # 2019-06-07 8.877e-05, 8.883e-05, 8.895e-05, 8.817e-05, 123551 ] ] caplog.set_level(logging.DEBUG) data = parse_ticker_dataframe(ticks, timeframe, pair="UNITTEST/BTC", fill_missing=False, drop_incomplete=False) assert len(data) == 4 assert not log_has("Dropping last candle", caplog) # Drop last candle data = parse_ticker_dataframe(ticks, timeframe, pair="UNITTEST/BTC", fill_missing=False, drop_incomplete=True) assert len(data) == 3 assert log_has("Dropping last candle", caplog)