Improve and refactor hyperopt tests

tests/optimize/conftest.py

@@ -0,0 +1,51 @@
+from copy import deepcopy
+from datetime import datetime
+from pathlib import Path
+
+import pandas as pd
+import pytest
+
+from freqtrade.optimize.hyperopt import Hyperopt
+from freqtrade.strategy.interface import SellType
+from tests.conftest import patch_exchange
+
+
+@pytest.fixture(scope='function')
+def hyperopt_conf(default_conf):
+    hyperconf = deepcopy(default_conf)
+    hyperconf.update({
+        'hyperopt': 'DefaultHyperOpt',
+        'hyperopt_loss': 'ShortTradeDurHyperOptLoss',
+                         'hyperopt_path': str(Path(__file__).parent / 'hyperopts'),
+                         'epochs': 1,
+                         'timerange': None,
+                         'spaces': ['default'],
+                         'hyperopt_jobs': 1,
+    })
+    return hyperconf
+
+
+@pytest.fixture(scope='function')
+def hyperopt(hyperopt_conf, mocker):
+
+    patch_exchange(mocker)
+    return Hyperopt(hyperopt_conf)
+
+
+@pytest.fixture(scope='function')
+def hyperopt_results():
+    return pd.DataFrame(
+        {
+            'pair': ['ETH/BTC', 'ETH/BTC', 'ETH/BTC'],
+            'profit_percent': [-0.1, 0.2, 0.3],
+            'profit_abs': [-0.2, 0.4, 0.6],
+            'trade_duration': [10, 30, 10],
+            'sell_reason': [SellType.STOP_LOSS, SellType.ROI, SellType.ROI],
+            'close_date':
+            [
+                datetime(2019, 1, 1, 9, 26, 3, 478039),
+                datetime(2019, 2, 1, 9, 26, 3, 478039),
+                datetime(2019, 3, 1, 9, 26, 3, 478039)
+            ]
+        }
+    )