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)
