Remove combined load-method since it's confusing
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@ -58,7 +58,7 @@ Timerange doesn't work with live data.
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To plot trades stored in a database use `--db-url` argument:
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``` bash
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python3 scripts/plot_dataframe.py --db-url sqlite:///tradesv3.dry_run.sqlite -p BTC/ETH
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python3 scripts/plot_dataframe.py --db-url sqlite:///tradesv3.dry_run.sqlite -p BTC/ETH --trade-source DB
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```
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To plot trades from a backtesting result, use `--export-filename <filename>`
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@ -82,40 +82,25 @@ def load_trades_from_db(db_url: str) -> pd.DataFrame:
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trades: pd.DataFrame = pd.DataFrame([], columns=BT_DATA_COLUMNS)
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persistence.init(db_url, clean_open_orders=False)
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columns = ["pair", "profit", "open_time", "close_time",
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"open_rate", "close_rate", "duration"]
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for x in Trade.query.all():
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logger.info("date: {}".format(x.open_date))
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"open_rate", "close_rate", "duration", "sell_reason",
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"max_rate", "min_rate"]
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trades = pd.DataFrame([(t.pair, t.calc_profit(),
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t.open_date.replace(tzinfo=pytz.UTC),
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t.close_date.replace(tzinfo=pytz.UTC) if t.close_date else None,
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t.open_rate, t.close_rate,
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t.close_date.timestamp() - t.open_date.timestamp()
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if t.close_date else None)
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if t.close_date else None,
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t.sell_reason,
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t.max_rate,
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t.min_rate,
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)
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for t in Trade.query.all()],
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columns=columns)
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return trades
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def load_trades(exportfilename: str = None, db_url: str = None) -> pd.DataFrame:
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"""
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Load trades, either from a DB (using dburl) or via a backtest export file.
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:param exportfilename: Path to a file exported from backtesting
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:param db_url: Sqlite url (default format sqlite:///tradesv3.dry-run.sqlite)
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:returns: Dataframe containing Trades
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"""
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trades: pd.DataFrame = pd.DataFrame([], columns=BT_DATA_COLUMNS)
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if exportfilename:
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trades = load_backtest_data(Path(exportfilename))
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elif db_url:
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trades = load_trades_from_db(db_url)
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return trades
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def extract_trades_of_period(dataframe: pd.DataFrame, trades: pd.DataFrame) -> pd.DataFrame:
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"""
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Compare trades and backtested pair DataFrames to get trades performed on backtested period
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@ -7,7 +7,7 @@ from pandas import DataFrame, to_datetime
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from freqtrade.arguments import TimeRange
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from freqtrade.data.btanalysis import (BT_DATA_COLUMNS,
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extract_trades_of_period,
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load_backtest_data, load_trades)
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load_backtest_data, load_trades_from_db)
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from freqtrade.data.history import load_pair_history, make_testdata_path
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from freqtrade.tests.test_persistence import create_mock_trades
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@ -28,14 +28,6 @@ def test_load_backtest_data():
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load_backtest_data(str("filename") + "nofile")
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def test_load_trades_file(default_conf, fee, mocker):
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# Real testing of load_backtest_data is done in test_load_backtest_data
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lbt = mocker.patch("freqtrade.data.btanalysis.load_backtest_data", MagicMock())
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filename = make_testdata_path(None) / "backtest-result_test.json"
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load_trades(db_url=None, exportfilename=filename)
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assert lbt.call_count == 1
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@pytest.mark.usefixtures("init_persistence")
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def test_load_trades_db(default_conf, fee, mocker):
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@ -43,7 +35,7 @@ def test_load_trades_db(default_conf, fee, mocker):
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# remove init so it does not init again
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init_mock = mocker.patch('freqtrade.persistence.init', MagicMock())
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trades = load_trades(db_url=default_conf['db_url'], exportfilename=None)
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trades = load_trades_from_db(db_url=default_conf['db_url'])
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assert init_mock.call_count == 1
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assert len(trades) == 3
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assert isinstance(trades, DataFrame)
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