def testapirun(self):
startTime = 1
stopTime = 20
currentTime = 1
# set runid, clonemap and casename. Also define the ini file
runId = "unittest"
configfile="wflow_sceleton.ini"
wflow_cloneMap = 'wflow_catchment.map'
caseName="wflow_sceleton"
myModel = wf.WflowModel(wflow_cloneMap, caseName,runId,configfile)
# initialise the framework
dynModelFw = wf.wf_DynamicFramework(myModel, stopTime,startTime)
# Load model config from files and check directory structure
dynModelFw.createRunId(NoOverWrite=False,level=wf.logging.DEBUG)
# Run the initial part of the model (reads parameters and sets initial values)
dynModelFw._runInitial() # Runs initial part
dynModelFw._runResume() # gets the state variables
for ts in range(startTime,stopTime):
dynModelFw._runDynamic(ts,ts) # runs for all timesteps
dynModelFw.logger.info("Doing step: " + str(ts))
dynModelFw._runSuspend() # saves the state variables
dynModelFw._wf_shutdown()
my_data = wf.genfromtxt(os.path.join(caseName,runId,"tes.csv"), delimiter=',')
self.assertAlmostEquals(134.16633081436157,my_data[:,2].sum())
my_data_mean = wf.genfromtxt(os.path.join(caseName, runId, "tes_mean_5.csv"), delimiter=',')
self.assertAlmostEquals(112.25376296043396, my_data_mean[:, 2].sum())
def testapirun(self):
startTime = 1
stopTime = 20
currentTime = 1
# set runid, clonemap and casename. Also define the ini file
runId = "unittest"
configfile="wflow_sceleton.ini"
wflow_cloneMap = 'wflow_catchment.map'
caseName="wflow_sceleton"
myModel = wf.WflowModel(wflow_cloneMap, caseName,runId,configfile)
# initialise the framework
dynModelFw = wf.wf_DynamicFramework(myModel, stopTime,startTime)
# Load model config from files and check directory structure
dynModelFw.createRunId(NoOverWrite=False,level=wf.logging.DEBUG)
# Run the initial part of the model (reads parameters and sets initial values)
dynModelFw._runInitial() # Runs initial part
dynModelFw._runResume() # gets the state variables
for ts in range(startTime,stopTime):
dynModelFw._runDynamic(ts,ts) # runs for all timesteps
dynModelFw.logger.info("Doing step: " + str(ts))
dynModelFw._runSuspend() # saves the state variables
dynModelFw._wf_shutdown()
my_data = wf.genfromtxt(os.path.join(caseName,runId,"tes.csv"), delimiter=',')
self.assertAlmostEquals(14.885358393192291,my_data[:,2].sum())
my_data_mean = wf.genfromtxt(os.path.join(caseName, runId, "tes_mean_5.csv"), delimiter=',')
self.assertAlmostEquals( 20.727288454771042, my_data_mean[:, 2].sum())
def testapirun(self):
startTime = 1
stopTime = 10
currentTime = 1
# set runid, clonemap and casename. Also define the ini file
runId = "unittest"
configfile="wflow_sceleton.ini"
wflow_cloneMap = 'wflow_catchment.map'
caseName="wflow_sceleton"
myModel = wf.WflowModel(wflow_cloneMap, caseName,runId,configfile)
# initialise the framework
dynModelFw = wf.wf_DynamicFramework(myModel, stopTime,startTime)
# Load model config from files and check directory structure
dynModelFw.createRunId(NoOverWrite=False)
# Run the initial part of the model (reads parameters and sets initial values)
dynModelFw._runInitial() # Runs initial part
dynModelFw._runResume() # gets the state variables
for ts in range(startTime,stopTime):
dynModelFw._runDynamic(ts,ts) # runs for all timesteps
dynModelFw.logger.info("Doing step: " + str(ts))
dynModelFw._runSuspend() # saves the state variables
dynModelFw._wf_shutdown()
# nore read the csv results acn check of they match the first run
# Sum should be approx c 4.569673676
my_data = wf.genfromtxt(os.path.join(caseName,runId,"tes.csv"), delimiter=',')
self.assertAlmostEquals(4.569673676,my_data[:,2].sum())