constants test test added

test/funcs/test_constants_detection.py

+#! /usr/bin/env python
+# -*- coding: utf-8 -*-
+
+import pytest
+import numpy as np
+import pandas as pd
+
+from saqc.flagger.baseflagger import BaseFlagger
+from saqc.flagger.dmpflagger import DmpFlagger
+from saqc.flagger.simpleflagger import SimpleFlagger
+
+from saqc.funcs.constants_detection import flagConstants_VarianceBased
+
+from saqc.lib.tools import getPandasData
+
+TESTFLAGGERS = [
+    BaseFlagger(['NIL', 'GOOD', 'BAD']),
+    DmpFlagger(),
+    SimpleFlagger()]
+
+
+@pytest.fixture(scope='module')
+def constants_data():
+    index = pd.date_range(start='1.1.2011 00:00:00', end='2.1.2011 00:03:00', freq='5min')
+    constants_series = pd.Series(np.linspace(-50, 50, index.size), index=index, name='constants_data')
+    constants_series.iloc[5:25] = 0
+    # constants_series.iloc[1000] = -100
+    flag_assertion = list(range(5, 25))
+    return constants_series, flag_assertion
+
+
+@pytest.mark.parametrize('flagger', TESTFLAGGERS)
+def test_flagConstants_VarianceBased(constants_data, flagger):
+    data = constants_data[0]
+    flags = flagger.initFlags(data)
+    data, flag_result = flagConstants_VarianceBased(data, flags, 'constants_data', flagger, plateau_window_min='1h')
+    flag_result = getPandasData(flag_result, 0)
+    test_sum = (flag_result[constants_data[1]] == flagger.BAD).sum()
+    assert test_sum == len(constants_data[1])
+
+
+
+
+
+
+