From a7426755bc5892c0d9a4dc98a7f536612a6ec296 Mon Sep 17 00:00:00 2001
From: hippocritical <gunngirspam@gmail.com>
Date: Sat, 27 May 2023 20:35:45 +0200
Subject: [PATCH] added a check for bias1. Looking at has_bias should be enough
 to statisfy the test. The tests could be extended with thecking the buy/sell
 signals and the dataframe itself - but this should be sufficient for now.

---
 tests/optimize/test_lookahead_analysis.py     | 39 +++++++++++++------
 .../strategy_test_v3_with_lookahead_bias.py   | 13 ++++---
 2 files changed, 34 insertions(+), 18 deletions(-)

diff --git a/tests/optimize/test_lookahead_analysis.py b/tests/optimize/test_lookahead_analysis.py
index 85cd8fd66..1bd864906 100644
--- a/tests/optimize/test_lookahead_analysis.py
+++ b/tests/optimize/test_lookahead_analysis.py
@@ -173,9 +173,9 @@ def test_lookahead_helper_export_to_csv(lookahead_conf):
     lookahead_conf['lookahead_analysis_exportfilename'] = "temp_csv_lookahead_analysis.csv"
 
     strategy_obj1 = {
-            'name': "strat1",
-            'location': PurePosixPath("file1.py"),
-        }
+        'name': "strat1",
+        'location': PurePosixPath("file1.py"),
+    }
 
     instance1 = LookaheadAnalysis(lookahead_conf, strategy_obj1)
     instance1.current_analysis = analysis1
@@ -270,9 +270,24 @@ def test_lookahead_helper_export_to_csv(lookahead_conf):
         Path(lookahead_conf['lookahead_analysis_exportfilename']).unlink()
 
 
-def test_initialize_single_lookahead_analysis():
-    # TODO
-    pytest.skip("TODO")
+def test_initialize_single_lookahead_analysis(lookahead_conf, mocker):
+    mocker.patch('freqtrade.data.history.get_timerange', get_timerange)
+    mocker.patch(f'{EXMS}.get_fee', return_value=0.0)
+    mocker.patch(f'{EXMS}.get_min_pair_stake_amount', return_value=0.00001)
+    mocker.patch(f'{EXMS}.get_max_pair_stake_amount', return_value=float('inf'))
+    patch_exchange(mocker)
+    mocker.patch('freqtrade.plugins.pairlistmanager.PairListManager.whitelist',
+                 PropertyMock(return_value=['UNITTEST/BTC']))
+    lookahead_conf['pairs'] = ['UNITTEST/USDT']
+
+    lookahead_conf['timeframe'] = '5m'
+    lookahead_conf['timerange'] = '20180119-20180122'
+    strategy_obj = {
+        'name': "strat1",
+        'location': PurePosixPath("file1.py"),
+    }
+    LookaheadAnalysisSubFunctions.initialize_single_lookahead_analysis(
+        strategy_obj, lookahead_conf)
 
 
 @pytest.mark.parametrize('scenario', [
@@ -307,10 +322,10 @@ def test_biased_strategy(lookahead_conf, mocker, caplog, scenario) -> None:
     instance.start()
     # Assert init correct
     assert log_has_re(f"Strategy Parameter: scenario = {scenario}", caplog)
-    # Assert bias detected
-    assert log_has_re(r".*bias detected.*", caplog)
-    # TODO: assert something ... most likely output (?) or instance state?
 
-    # Assert False to see full logs in output
-    # assert False
-    # Run with `pytest tests/optimize/test_lookahead_analysis.py  -k test_biased_strategy`
+    # check non-biased strategy
+    if scenario == "no_bias":
+        assert not instance.current_analysis.has_bias
+    # check biased strategy
+    elif scenario == "bias1":
+        assert instance.current_analysis.has_bias
diff --git a/tests/strategy/strats/lookahead_bias/strategy_test_v3_with_lookahead_bias.py b/tests/strategy/strats/lookahead_bias/strategy_test_v3_with_lookahead_bias.py
index d35b85b2d..e50d5d17b 100644
--- a/tests/strategy/strats/lookahead_bias/strategy_test_v3_with_lookahead_bias.py
+++ b/tests/strategy/strats/lookahead_bias/strategy_test_v3_with_lookahead_bias.py
@@ -29,12 +29,13 @@ class strategy_test_v3_with_lookahead_bias(IStrategy):
 
     def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
         # bias is introduced here
-        ichi = ichimoku(dataframe,
-                        conversion_line_period=20,
-                        base_line_periods=60,
-                        laggin_span=120,
-                        displacement=30)
-        dataframe['chikou_span'] = ichi['chikou_span']
+        if self.scenario.value != 'no_bias':
+            ichi = ichimoku(dataframe,
+                            conversion_line_period=20,
+                            base_line_periods=60,
+                            laggin_span=120,
+                            displacement=30)
+            dataframe['chikou_span'] = ichi['chikou_span']
 
         return dataframe