CTYPTO/freqtrade
1
0
Fork 0
mirror of https://github.com/freqtrade/freqtrade.git synced 2026-03-04 04:43:33 +00:00
Code Issues Packages Projects Releases Wiki Activity

Initial commit - create a different file for signals

Browse Source
This commit is contained in:
jainanuj94
2024-08-02 15:54:03 +05:30
parent 2ad921f99e
commit 8f8859a5f5
6 changed files with 76 additions and 13 deletions
Download Patch File Download Diff File Expand all files Collapse all files

8
tests/optimize/test_optimize_reports.py
View File

@@ -293,7 +293,7 @@ def test_store_backtest_candles(testdatadir, mocker):
candle_dict = {"DefStrat": {"UNITTEST/BTC": pd.DataFrame()}}
# mock directory exporting
store_backtest_analysis_results(testdatadir, candle_dict, {}, "2022_01_01_15_05_13")
store_backtest_analysis_results(testdatadir, candle_dict, {}, {}, "2022_01_01_15_05_13")
assert dump_mock.call_count == 2
assert isinstance(dump_mock.call_args_list[0][0][0], Path)
@@ -302,7 +302,7 @@ def test_store_backtest_candles(testdatadir, mocker):
dump_mock.reset_mock()
# mock file exporting
filename = Path(testdatadir / "testresult")
store_backtest_analysis_results(filename, candle_dict, {}, "2022_01_01_15_05_13")
store_backtest_analysis_results(filename, candle_dict, {}, {}, "2022_01_01_15_05_13")
assert dump_mock.call_count == 2
assert isinstance(dump_mock.call_args_list[0][0][0], Path)
# result will be testdatadir / testresult-<timestamp>_signals.pkl
@@ -315,7 +315,7 @@ def test_write_read_backtest_candles(tmp_path):
# test directory exporting
sample_date = "2022_01_01_15_05_13"
store_backtest_analysis_results(tmp_path, candle_dict, {}, sample_date)
store_backtest_analysis_results(tmp_path, candle_dict, {}, {}, sample_date)
stored_file = tmp_path / f"backtest-result-{sample_date}_signals.pkl"
with stored_file.open("rb") as scp:
pickled_signal_candles = joblib.load(scp)
@@ -330,7 +330,7 @@ def test_write_read_backtest_candles(tmp_path):
# test file exporting
filename = tmp_path / "testresult"
store_backtest_analysis_results(filename, candle_dict, {}, sample_date)
store_backtest_analysis_results(filename, candle_dict, {}, {}, sample_date)
stored_file = tmp_path / f"testresult-{sample_date}_signals.pkl"
with stored_file.open("rb") as scp:
pickled_signal_candles = joblib.load(scp)