Use csi clearsky filter in a number of tests

rdtools/test/analysis_chains_test.py

@@ -248,6 +248,7 @@ def test_filter_ad_hoc_warnings(workflow, sensor_parameters):
             rd_analysis.sensor_analysis(analyses=['yoy_degradation'])
             components = rd_analysis.sensor_filter_components
         else:
+            rd_analysis.filter_params['clearsky_filter'] = {'model':'csi'}
             rd_analysis.clearsky_analysis(analyses=['yoy_degradation'])
             components = rd_analysis.clearsky_filter_components
 
@@ -345,6 +346,7 @@ def clearsky_parameters(basic_parameters, sensor_parameters,
     # functions to generate the data.
     rd_analysis = TrendAnalysis(**sensor_parameters)
     rd_analysis.set_clearsky(**cs_input)
+    rd_analysis.filter_params['clearsky_filter'] = {'model':'csi'}
     rd_analysis._clearsky_preprocess()
     poa = rd_analysis.poa_global_clearsky
     clearsky_parameters = basic_parameters
@@ -357,6 +359,7 @@ def clearsky_parameters(basic_parameters, sensor_parameters,
 def clearsky_analysis(cs_input, clearsky_parameters):
     rd_analysis = TrendAnalysis(**clearsky_parameters)
     rd_analysis.set_clearsky(**cs_input)
+    rd_analysis.filter_params['clearsky_filter'] = {'model':'csi'}
     rd_analysis.clearsky_analysis(analyses=['yoy_degradation'])
     return rd_analysis
 
@@ -404,6 +407,7 @@ def clearsky_analysis_exp_power(clearsky_parameters, clearsky_optional):
     clearsky_parameters['power_expected'] = power_expected
     rd_analysis = TrendAnalysis(**clearsky_parameters)
     rd_analysis.set_clearsky(**clearsky_optional)
+    rd_analysis.filter_params['clearsky_filter'] = {'model':'csi'}
     rd_analysis.clearsky_analysis(analyses=['yoy_degradation'])
     return rd_analysis
 
@@ -483,6 +487,7 @@ def soiling_analysis_clearsky(soiling_parameters, cs_input):
     soiling_analysis = TrendAnalysis(**soiling_parameters)
     soiling_analysis.set_clearsky(**cs_input)
     np.random.seed(1977)
+    soiling_analysis.filter_params['clearsky_filter'] = {'model':'csi'}
     with pytest.warns(UserWarning, match='20% or more of the daily data'):
         soiling_analysis.clearsky_analysis(analyses=['srr_soiling'],
                                            srr_kwargs={'reps': 10})
@@ -548,13 +553,10 @@ def test_errors(sensor_parameters, clearsky_analysis):
         rdtemp._sensor_preprocess()
 
     # clearsky analysis with no tilt/azm
-    clearsky_analysis.pv_tilt = None
-    clearsky_analysis.poa_global_clearsky = None
     with pytest.raises(ValueError, match='pv_tilt and pv_azimuth must be provided'):
         clearsky_analysis._clearsky_preprocess()
 
     # clearsky analysis with no pvlib.loc
-    clearsky_analysis.pvlib_location = None
     with pytest.raises(ValueError, match='pvlib location must be provided'):
         clearsky_analysis._clearsky_preprocess()