Use Datetime_format from constants
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37fcbeba58
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@ -228,9 +228,9 @@ def _download_pair_history(pair: str, *,
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)
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logger.debug("Current Start: %s",
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f"{data.iloc[0]['date']:%Y-%m-%d %H:%M:%S}" if not data.empty else 'None')
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f"{data.iloc[0]['date']:DATETIME_PRINT_FORMAT}" if not data.empty else 'None')
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logger.debug("Current End: %s",
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f"{data.iloc[-1]['date']:%Y-%m-%d %H:%M:%S}" if not data.empty else 'None')
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f"{data.iloc[-1]['date']:DATETIME_PRINT_FORMAT}" if not data.empty else 'None')
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# Default since_ms to 30 days if nothing is given
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new_data = exchange.get_historic_ohlcv(pair=pair,
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@ -254,9 +254,9 @@ def _download_pair_history(pair: str, *,
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fill_missing=False, drop_incomplete=False)
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logger.debug("New Start: %s",
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f"{data.iloc[0]['date']:%Y-%m-%d %H:%M:%S}" if not data.empty else 'None')
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f"{data.iloc[0]['date']:DATETIME_PRINT_FORMAT}" if not data.empty else 'None')
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logger.debug("New End: %s",
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f"{data.iloc[-1]['date']:%Y-%m-%d %H:%M:%S}" if not data.empty else 'None')
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f"{data.iloc[-1]['date']:DATETIME_PRINT_FORMAT}" if not data.empty else 'None')
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data_handler.ohlcv_store(pair, timeframe, data=data, candle_type=candle_type)
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return True
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@ -14,6 +14,7 @@ from numpy.typing import NDArray
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from pandas import DataFrame
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from freqtrade.configuration import TimeRange
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from freqtrade.constants import DATETIME_PRINT_FORMAT
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from freqtrade.enums import RunMode
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from freqtrade.exceptions import OperationalException
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from freqtrade.exchange import timeframe_to_seconds
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@ -232,10 +233,10 @@ class IFreqaiModel(ABC):
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trained_timestamp = tr_train
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tr_train_startts_str = datetime.fromtimestamp(
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tr_train.startts,
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tz=timezone.utc).strftime("%Y-%m-%d %H:%M:%S")
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tz=timezone.utc).strftime(DATETIME_PRINT_FORMAT)
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tr_train_stopts_str = datetime.fromtimestamp(
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tr_train.stopts,
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tz=timezone.utc).strftime("%Y-%m-%d %H:%M:%S")
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tz=timezone.utc).strftime(DATETIME_PRINT_FORMAT)
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logger.info(
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f"Training {metadata['pair']}, {self.pair_it}/{self.total_pairs} pairs"
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f" from {tr_train_startts_str} to {tr_train_stopts_str}, {train_it}/{total_trains} "
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@ -13,7 +13,7 @@ from pandas import DataFrame
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from pandas.testing import assert_frame_equal
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from freqtrade.configuration import TimeRange
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from freqtrade.constants import AVAILABLE_DATAHANDLERS
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from freqtrade.constants import AVAILABLE_DATAHANDLERS, DATETIME_PRINT_FORMAT
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from freqtrade.data.converter import ohlcv_to_dataframe
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from freqtrade.data.history.hdf5datahandler import HDF5DataHandler
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from freqtrade.data.history.history_utils import (_download_pair_history, _download_trades_history,
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@ -386,7 +386,7 @@ def test_load_partial_missing(testdatadir, caplog) -> None:
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assert td != len(data['UNITTEST/BTC'])
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start_real = data['UNITTEST/BTC'].iloc[0, 0]
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assert log_has(f'UNITTEST/BTC, spot, 5m, '
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f'data starts at {start_real.strftime("%Y-%m-%d %H:%M:%S")}',
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f'data starts at {start_real.strftime(DATETIME_PRINT_FORMAT)}',
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caplog)
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# Make sure we start fresh - test missing data at end
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caplog.clear()
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@ -401,7 +401,7 @@ def test_load_partial_missing(testdatadir, caplog) -> None:
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# Shift endtime with +5 - as last candle is dropped (partial candle)
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end_real = arrow.get(data['UNITTEST/BTC'].iloc[-1, 0]).shift(minutes=5)
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assert log_has(f'UNITTEST/BTC, spot, 5m, '
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f'data ends at {end_real.strftime("%Y-%m-%d %H:%M:%S")}',
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f'data ends at {end_real.strftime(DATETIME_PRINT_FORMAT)}',
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caplog)
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@ -9,7 +9,7 @@ import arrow
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import pytest
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from sqlalchemy import create_engine, text
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from freqtrade import constants
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from freqtrade.constants import DATETIME_PRINT_FORMAT, DEFAULT_DB_PROD_URL
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from freqtrade.enums import TradingMode
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from freqtrade.exceptions import DependencyException, OperationalException
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from freqtrade.persistence import LocalTrade, Order, Trade, init_db
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@ -52,7 +52,7 @@ def test_init_invalid_db_url():
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def test_init_prod_db(default_conf, mocker):
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default_conf.update({'dry_run': False})
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default_conf.update({'db_url': constants.DEFAULT_DB_PROD_URL})
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default_conf.update({'db_url': DEFAULT_DB_PROD_URL})
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create_engine_mock = mocker.patch('freqtrade.persistence.models.create_engine', MagicMock())
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@ -1739,7 +1739,7 @@ def test_to_json(fee):
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'base_currency': 'ADA',
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'quote_currency': 'USDT',
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'is_open': None,
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'open_date': trade.open_date.strftime("%Y-%m-%d %H:%M:%S"),
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'open_date': trade.open_date.strftime(DATETIME_PRINT_FORMAT),
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'open_timestamp': int(trade.open_date.timestamp() * 1000),
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'open_order_id': 'dry_run_buy_12345',
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'close_date': None,
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@ -1817,9 +1817,9 @@ def test_to_json(fee):
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'pair': 'XRP/BTC',
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'base_currency': 'XRP',
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'quote_currency': 'BTC',
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'open_date': trade.open_date.strftime("%Y-%m-%d %H:%M:%S"),
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'open_date': trade.open_date.strftime(DATETIME_PRINT_FORMAT),
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'open_timestamp': int(trade.open_date.timestamp() * 1000),
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'close_date': trade.close_date.strftime("%Y-%m-%d %H:%M:%S"),
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'close_date': trade.close_date.strftime(DATETIME_PRINT_FORMAT),
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'close_timestamp': int(trade.close_date.timestamp() * 1000),
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'open_rate': 0.123,
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'close_rate': 0.125,
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