def _tests(): # Variables workDir = pJoin(__neoMetaModel__._omfDir, "data", "Model") inData = { "simStartDate": "2012-04-01", "simLengthUnits": "hours", "modelType": "Anomaly", "simLength": "100", "runTime": "", "MinDetectionRunTime": "4", "MinDeviationFromAverage": "95", "fileName": "Input - synthetic AMI measurements.csv" } modelLoc = pJoin(workDir, "admin", "Anomaly Detection") # Blow away old test results if necessary. try: shutil.rmtree(modelLoc) except: # No previous test results. pass # Run the model and show the input only. # renderAndShow(template) # Run the model and show the output. run(modelLoc, inData) __neoMetaModel__.renderAndShow(modelLoc)
def _simpleTest(): modelLoc = pJoin(__neoMetaModel__._omfDir,"data","Model","admin","Automated Testing of " + modelName) if os.path.isdir(modelLoc): shutil.rmtree(modelLoc) new(modelLoc) # Create New. __neoMetaModel__.renderAndShow(modelLoc) # Pre-run. __neoMetaModel__.runForeground(modelLoc) # Run the model. __neoMetaModel__.renderAndShow(modelLoc) # Show the output.
def _tests(): modelLoc = pJoin(__neoMetaModel__._omfDir,'data','Model','admin','Automated Testing of ' + modelName) if isdir(modelLoc): shutil.rmtree(modelLoc) new(modelLoc) # Create New. __neoMetaModel__.renderAndShow(modelLoc) # Pre-run. __neoMetaModel__.runForeground(modelLoc) # Run the model. __neoMetaModel__.renderAndShow(modelLoc) # Show the output.
def _debugging(): modelLoc = pJoin(__neoMetaModel__._omfDir,"data","Model","admin","Automated Testing of " + modelName) if os.path.isdir(modelLoc): shutil.rmtree(modelLoc) new(modelLoc) __neoMetaModel__.renderAndShow(modelLoc) __neoMetaModel__.runForeground(modelLoc) __neoMetaModel__.renderAndShow(modelLoc)
def _tests(): modelLoc = pJoin(__neoMetaModel__._omfDir,"data","Model","admin","Automated Testing of " + modelName) # Blow away old test results if necessary. if isdir(modelLoc): shutil.rmtree(modelLoc) new(modelLoc) # Create New. __neoMetaModel__.renderAndShow(modelLoc) # Pre-run. __neoMetaModel__.runForeground(modelLoc) # Run the model. __neoMetaModel__.renderAndShow(modelLoc) # Show the output.
def _tests(): modelLoc = pJoin(__neoMetaModel__._omfDir, "data", "Model", "admin", "Automated Testing of " + modelName) if isdir(modelLoc): shutil.rmtree(modelLoc) new(modelLoc) # Create New. __neoMetaModel__.renderAndShow(modelLoc) # Pre-run. try: __neoMetaModel__.runForeground(modelLoc) # Run the model. except: pass # Just ignore errors because sometimes HTTP requests fail. __neoMetaModel__.renderAndShow(modelLoc) # Show the output.
def _tests(): # Location modelLoc = pJoin(__neoMetaModel__._omfDir,"data","Model","admin","Automated Testing of " + modelName) # Blow away old test results if necessary. try: shutil.rmtree(modelLoc) except: # No previous test results. pass # Create New. new(modelLoc) # Pre-run. __neoMetaModel__.renderAndShow(modelLoc)
def _debugging(): # Location modelLoc = pJoin(__neoMetaModel__._omfDir,"data","Model","admin","Automated Testing of " + modelName) # Blow away old test results if necessary. try: shutil.rmtree(modelLoc) except: # No previous test results. pass # Create New. new(modelLoc) # Pre-run. # renderAndShow(modelLoc) # Run the model. __neoMetaModel__.runForeground(modelLoc) # Show the output. __neoMetaModel__.renderAndShow(modelLoc)
def _debugging(): # outageCostAnalysis(omf.omfDir + '/static/publicFeeders/Olin Barre LatLon.omd', omf.omfDir + '/scratch/smartSwitching/Outages.csv', None, '60', '1') # Location modelLoc = pJoin(__neoMetaModel__._omfDir,'data','Model','admin','Automated Testing of ' + modelName) # Blow away old test results if necessary. try: shutil.rmtree(modelLoc) except: # No previous test results. pass # Create New. new(modelLoc) # Pre-run. # renderAndShow(modelLoc) # Run the model. __neoMetaModel__.runForeground(modelLoc) # Show the output. __neoMetaModel__.renderAndShow(modelLoc)
def _simpleTest(): # Location modelLoc = pJoin( __neoMetaModel__._omfDir, "data", "Model", "admin", "Automated Testing of " + modelName, ) # Blow away old test results if necessary. shutil.rmtree(modelLoc, ignore_errors=True) # Create New. new(modelLoc) # Pre-run. # renderAndShow(modelLoc) # Run the model. __neoMetaModel__.runForeground(modelLoc) # Show the output. __neoMetaModel__.renderAndShow(modelLoc)