def addToCanvas(self, event):
end, siteobject, start, variable_code = self._preparationToGetValues()
var_codes_temp = self.get_all_selected_variable_site_codes()
if len(var_codes_temp) > 1:
elog.warning(
"We do not support adding more then one item to the canvas at this point. We added "
+ var_codes_temp[0])
if variable_code is None:
# no table row selected
return
args = dict(
model_type='wof',
wsdl=self.parent.api.wsdl,
site=siteobject.site_code,
variable=variable_code,
start=start,
end=end,
network=siteobject.network,
)
engine.addModel(**args)
self.Close()
def on_close(self, event):
dial = wx.MessageDialog(None, 'Are you sure to quit?', 'Question',
wx.YES_NO | wx.NO_DEFAULT | wx.ICON_QUESTION)
dial.SetYesNoLabels(yes="Quit", no="Cancel")
if event == None or dial.ShowModal() == wx.ID_YES:
# kill multiprocessing
e = Engine()
msg = e.close()
elog.debug('Closing Engine Processes: %s' % msg)
# kill all threads
threads = {t.name:t for t in threading.enumerate()}
mainthread = threads.pop('MainThread')
elog.debug('Closing EMIT Threads: %s' % msg)
non_daemon = []
for t in threads.itervalues():
# check if the thread is a daemon, if so, it should not cause any problems
if t.isDaemon():
elog.debug('%s daemon=%s' %(t.name, t.isDaemon()))
else:
# add this thread to the non-daemon list
non_daemon.append(t)
for t in non_daemon:
elog.warning('%s is not a daemon thread and may cause problems while shutting down' % t.name)
t.join(1)
# determine if there are any non-daemon threads that are still alive
non_daemon_and_alive = []
for t in threads.itervalues():
if not t.isDaemon() and t.isAlive():
non_daemon_and_alive.append(t)
# attempt to stop non-daemon threads
try:
for t in non_daemon_and_alive:
t._Thread__stop()
except Exception, e:
elog.error('Error encountered closing thread %s: %s' % (t.name, e))
# close the main thread
self.Destroy()
wx.App.ExitMainLoop
wx.WakeUpMainThread
def transform(self, ingeoms, outgeoms):
if len(ingeoms) != len(outgeoms):
sPrint('input and output geometries have different lengths. This may lead to inconsistencies during %s spatial mapping.' % self.name(), MessageType.WARNING)
elog.warning('input and output geometries have different lengths. This may lead to inconsistencies during %s spatial mapping.' % self.name())
# determine the minimum length array
max_idx = min(len(ingeoms), len(outgeoms))
# loop from 0 to min length and map geometry indices
mapped = []
for i in range(0, max_idx):
mapped.append([ingeoms[i],outgeoms[i]])
return mapped
def draw_link(self, event):
R1 = None
R2 = None
for R, id in self.models.iteritems():
if id == event.source_id:
R1 = R
elif id == event.target_id:
R2 = R
if R1 is None or R2 is None:
elog.warning("Could not find Model identifier in loaded models")
sPrint("Could not find Model identifier in loaded models", MessageType.WARNING)
raise Exception('Could not find Model identifier in loaded models')
# This is what actually draws the line
self.createLine(R1, R2)
def draw_link(self, event):
R1 = None
R2 = None
for R, id in self.models.iteritems():
if id == event.source_id:
R1 = R
elif id == event.target_id:
R2 = R
if R1 is None or R2 is None:
elog.warning("Could not find Model identifier in loaded models")
sPrint("Could not find Model identifier in loaded models",
MessageType.WARNING)
raise Exception('Could not find Model identifier in loaded models')
# This is what actually draws the line
self.createLine(R1, R2)
def __init__(self, args):
'''
Initializes the base wrapper and basic model parameters
:param args: dictionary of arguments. Should contain timestep name, timestep value, model code,
model description, general simulation_start, general simulation_end
'''
super(Wrapper, self).__init__()
try:
if 'time_step' in args.keys():
dt = {args['time_step'][0]['name']: float(args['time_step'][0]['value'])}
t = datetime.timedelta(**dt)
self.time_step(t.total_seconds())
else:
elog.warning('Missing "time_step" parameters in *.mdl. You may encounter errors if you continue')
if 'model' in args.keys():
self.name(args['model'][0]['code'])
self.description(args['model'][0]['description'])
else:
elog.warning('Missing "model" parameters in *.mdl. You may encounter errors if you continue')
if 'general' in args:
self.simulation_start(parser.parse(args['general'][0]['simulation_start']))
self.simulation_end(parser.parse(args['general'][0]['simulation_end']))
else:
elog.warning('Missing "general" parameters in *.mdl. You may encounter errors if you continue')
except:
elog.error('Malformed parameters found in *.mdl')
def addToCanvas(self, event):
end, siteobject, start, variable_code = self._preparationToGetValues()
var_codes_temp = self.get_all_selected_variable_site_codes()
if len(var_codes_temp) > 1:
elog.warning("We do not support adding more then one item to the canvas at this point. We added " + var_codes_temp[0])
if variable_code is None:
# no table row selected
return
args = dict(model_type='wof',
wsdl=self.parent.api.wsdl,
site=siteobject.site_code,
variable=variable_code,
start=start,
end=end,
network=siteobject.network,
)
engine.addModel(**args)
self.Close()
def __init__(self, args):
'''
Initializes the base wrapper and basic model parameters
:param args: dictionary of arguments. Should contain timestep name, timestep value, model code,
model description, general simulation_start, general simulation_end
'''
super(Wrapper, self).__init__()
try:
if 'time_step' in args.keys():
dt = {
args['time_step'][0]['name']:
float(args['time_step'][0]['value'])
}
t = datetime.timedelta(**dt)
self.time_step(t.total_seconds())
else:
elog.warning(
'Missing "time_step" parameters in *.mdl. You may encounter errors if you continue'
)
if 'model' in args.keys():
self.name(args['model'][0]['code'])
self.description(args['model'][0]['description'])
else:
elog.warning(
'Missing "model" parameters in *.mdl. You may encounter errors if you continue'
)
if 'general' in args:
self.simulation_start(
parser.parse(args['general'][0]['simulation_start']))
self.simulation_end(
parser.parse(args['general'][0]['simulation_end']))
else:
elog.warning(
'Missing "general" parameters in *.mdl. You may encounter errors if you continue'
)
except:
elog.error('Malformed parameters found in *.mdl')
def initialize_timeseries_variable_array(self, forcing_data, number_of_timesteps):
# number_of_timesteps += 10
variables = {'Ta':0, 'Prec':1, 'v':2, 'RH':3, 'AP':4, 'Qsi':5, 'Qli':6, 'Qnet':7, 'Qg':8, 'Snowalb':9, 'Tmin':10, 'Tmax':11, 'Vp':12}
# loop over all of the variables
for i in range(13):
# get the variable name
var_name = self.C_strinpforcArray.contents[i].infName
# get the index corresponding to this variable
idx = variables[var_name]
# get the type of input forcing (0: dat, 1: netcdf, 2: parameter)
infType = self.C_strinpforcArray.contents[i].infType
# dat file
if infType == 0:
# initialize the array
self.C_tsvarArray.contents[i] = (c_float * number_of_timesteps)()
# read the DAT file and set data
with open(os.path.join(self.base_dir, self.C_strinpforcArray.contents[i].infFile), 'r') as f:
lines = f.readlines()
row = 0
for l in range(1, len(lines)):
# DAT format: Year Month Day Hour value
data = lines[l].strip().split()
# save the value column
self.C_tsvarArray.contents[i][row] = float(data[-1])
# increment the row
row += 1
# netcdf file
elif infType == 1:
# # initialize the array
self.C_tsvarArray.contents[i] = (c_float * number_of_timesteps)()
message = 'NetCDF input files are not supported at this time. Pass NetCDF values at runtime via data components instead.'
elog.warning(message)
# # initialize the array
# self.C_tsvarArray.contents[i] = (c_float * number_of_timesteps)()
# # get netcdf variables
# tvar = self.C_strinpforcArray.contents[i].inftimeVar
# var = self.C_strinpforcArray.contents[i].infvarName
# numfiles = self.C_strinpforcArray.contents[i].numNcfiles
# # todo add support for multiple netcdf files
# if numfiles > 1: raise Exception('Cannot process multiple netcdf files for a single variable. Support for this feature is coming soon.')
# f = self.C_strinpforcArray.contents[i].infFile
# f = f + '0.nc' if f[-2:] != '.nc' else f
#
# # read netcdf data and set values
# handle = nc.Dataset(os.path.join(self.base_dir, f), 'r')
# values = [v.flatten() for v in handle.variables[var][:]]
# for row in range(len(values)):
# self.C_tsvarArray.contents[i][row] = values[row]
# parameter value
elif infType == 2:
# initialize space for parameters and set values
self.C_tsvarArray.contents[i] = (c_float * 2)()
self.C_tsvarArray.contents[i][0] = self.C_strinpforcArray.contents[i].infType
self.C_tsvarArray.contents[i][1] = self.C_strinpforcArray.contents[i].infdefValue
# input component
elif infType == 3:
# initialize the array
self.C_tsvarArray.contents[i] = (c_float * number_of_timesteps)()
pass
# variable not used (computed internally)
else:
self.C_tsvarArray.contents[i] = (c_float * 2)()
self.C_tsvarArray.contents[i][0] = self.C_strinpforcArray.contents[i].infType
self.C_tsvarArray.contents[i][1] = self.C_strinpforcArray.contents[i].infdefValue
def build_exchange_items_from_config(params):
# get all inputs and outputs
iitems = params['input'] if 'input' in params else []
oitems = params['output'] if 'output' in params else []
eitems = iitems + oitems
items = {stdlib.ExchangeItemType.INPUT:[],stdlib.ExchangeItemType.OUTPUT:[]}
# loop through each input/output and create an exchange item
for io in eitems:
variable = None
unit = None
srs = None
geoms = []
# get all input and output exchange items as a list
iotype = stdlib.ExchangeItemType.OUTPUT if io['type'].upper() == stdlib.ExchangeItemType.OUTPUT else stdlib.ExchangeItemType.INPUT
for key, value in io.iteritems():
sPrint(key, MessageType.DEBUG)
if key == 'variable_name_cv':
sPrint('Creating Variable', MessageType.DEBUG)
variable = create_variable(value)
sPrint('Done Creating Variable', MessageType.DEBUG)
if 'variable_definition' in io.keys():
variable.VariableDefinition(io['variable_definition'])
elif key == 'unit_type_cv': unit = create_unit(value)
elif key == 'elementset' :
# check if the value is a path
if os.path.dirname(value ) != '':
gen_path = os.path.abspath(os.path.join(params['basedir'],value))
if not os.path.isfile(gen_path):
# get filepath relative to *.mdl
elog.critical('Could not find file at path %s, generated from relative path %s'%(gen_path, value))
raise Exception('Could not find file at path %s, generated from relative path %s'%(gen_path, value))
# parse the geometry from the shapefile
geoms, srs = utilities.spatial.read_shapefile(gen_path)
srs = srs.AutoIdentifyEPSG()
# otherwise it must be a wkt
else:
try:
# get the wkt text string
value = value.strip('\'').strip('"')
# parse the wkt string into a stdlib.Geometry object
geom = utilities.geometry.fromWKT(value)
for g in geom:
geoms.append(g)
except:
elog.warning('Could not load component geometry from *.mdl file')
# this is OK. Just set the geoms to [] and assume that they will be populated during initialize.
geom = []
if 'espg_code' in io:
srs = utilities.spatial.get_srs_from_epsg(io['epsg_code'])
# generate a unique uuid for this exchange item
id = uuid.uuid4().hex
# create exchange item
ei = stdlib.ExchangeItem(id,
name=variable.VariableNameCV(),
desc=variable.VariableDefinition(),
unit= unit,
variable=variable,
# srs_epsg=srs, #todo: this is causing problems
type=iotype)
# add geometry to exchange item (NEW)
ei.addGeometries2(geoms)
# save exchange items based on type
items[ei.type()].append(ei)
return items
def initialize_timeseries_variable_array(self, forcing_data,
number_of_timesteps):
# number_of_timesteps += 10
variables = {
'Ta': 0,
'Prec': 1,
'v': 2,
'RH': 3,
'AP': 4,
'Qsi': 5,
'Qli': 6,
'Qnet': 7,
'Qg': 8,
'Snowalb': 9,
'Tmin': 10,
'Tmax': 11,
'Vp': 12
}
# loop over all of the variables
for i in range(13):
# get the variable name
var_name = self.C_strinpforcArray.contents[i].infName
# get the index corresponding to this variable
idx = variables[var_name]
# get the type of input forcing (0: dat, 1: netcdf, 2: parameter)
infType = self.C_strinpforcArray.contents[i].infType
# dat file
if infType == 0:
# initialize the array
self.C_tsvarArray.contents[i] = (c_float *
number_of_timesteps)()
# read the DAT file and set data
with open(
os.path.join(
self.base_dir,
self.C_strinpforcArray.contents[i].infFile),
'r') as f:
lines = f.readlines()
row = 0
for l in range(1, len(lines)):
# DAT format: Year Month Day Hour value
data = lines[l].strip().split()
# save the value column
self.C_tsvarArray.contents[i][row] = float(data[-1])
# increment the row
row += 1
# netcdf file
elif infType == 1:
# # initialize the array
self.C_tsvarArray.contents[i] = (c_float *
number_of_timesteps)()
message = 'NetCDF input files are not supported at this time. Pass NetCDF values at runtime via data components instead.'
elog.warning(message)
# # initialize the array
# self.C_tsvarArray.contents[i] = (c_float * number_of_timesteps)()
# # get netcdf variables
# tvar = self.C_strinpforcArray.contents[i].inftimeVar
# var = self.C_strinpforcArray.contents[i].infvarName
# numfiles = self.C_strinpforcArray.contents[i].numNcfiles
# # todo add support for multiple netcdf files
# if numfiles > 1: raise Exception('Cannot process multiple netcdf files for a single variable. Support for this feature is coming soon.')
# f = self.C_strinpforcArray.contents[i].infFile
# f = f + '0.nc' if f[-2:] != '.nc' else f
#
# # read netcdf data and set values
# handle = nc.Dataset(os.path.join(self.base_dir, f), 'r')
# values = [v.flatten() for v in handle.variables[var][:]]
# for row in range(len(values)):
# self.C_tsvarArray.contents[i][row] = values[row]
# parameter value
elif infType == 2:
# initialize space for parameters and set values
self.C_tsvarArray.contents[i] = (c_float * 2)()
self.C_tsvarArray.contents[i][
0] = self.C_strinpforcArray.contents[i].infType
self.C_tsvarArray.contents[i][
1] = self.C_strinpforcArray.contents[i].infdefValue
# input component
elif infType == 3:
# initialize the array
self.C_tsvarArray.contents[i] = (c_float *
number_of_timesteps)()
pass
# variable not used (computed internally)
else:
self.C_tsvarArray.contents[i] = (c_float * 2)()
self.C_tsvarArray.contents[i][
0] = self.C_strinpforcArray.contents[i].infType
self.C_tsvarArray.contents[i][
1] = self.C_strinpforcArray.contents[i].infdefValue
def get_configuration_details(coordinator, arg):
if len(coordinator.__models.keys()) == 0:
elog.warning('No models found in configuration.')
if arg.strip() == 'summary':
elog.info('Here is everything I know about the current simulation...\n')
# print model info
if arg.strip() == 'models' or arg.strip() == 'summary':
# loop through all known models
for name,model in coordinator.__models.iteritems():
model_output = []
model_output.append('Model: '+name)
model_output.append('desc: ' + model.description())
model_output.append('id: ' + model.id())
for item in model.get_input_exchange_items() + model.get_output_exchange_items():
model_output.append(str(item.id()))
model_output.append( 'name: '+item.name())
model_output.append( 'description: '+item.description())
model_output.append( 'unit: '+item.unit().UnitName())
model_output.append( 'variable: '+item.variable().VariableNameCV())
model_output.append( ' ')
# get formatted width
w = get_format_width(model_output)
# print model info
elog.info(' |'+(w)*'-'+'|')
elog.info(' *'+format_text(model_output[0], w,'center')+'*')
elog.info(' |'+(w)*'='+'|')
elog.info(' |'+format_text(model_output[1], w,'left')+'|')
elog.info(' |'+format_text(model_output[2], w,'left')+'|')
elog.info(' |'+(w)*'-'+'|')
for l in model_output[3:]:
elog.info(' |'+format_text(l,w,'left')+'|')
elog.info(' |'+(w)*'-'+'|')
elog.info(' ')
# print link info
if arg.strip() == 'links' or arg.strip() == 'summary':
# string to store link output
link_output = []
for linkid,link in coordinator.__links.iteritems():
# get the link info
From, To = link.get_link()
link_output.append('LINK ID : ' + linkid)
link_output.append('from: ' + From[0].name() + ' -- output --> ' + From[1].name())
link_output.append('to: ' + To[0].name() + ' -- input --> ' + To[1].name())
# get the formatted width
w = get_format_width(link_output)
# print the output
elog.info(' |'+(w)*'-'+'|')
elog.info(' *'+format_text(link_output[0], w,'center')+'*')
elog.info(' |'+(w)*'='+'|')
for l in link_output[1:]:
elog.info(' |'+format_text(l,w,'left')+'|')
elog.info(' |' + w * '-' + '|')
# print database info
if arg.strip() == 'db' or arg.strip() == 'summary':
for id, db_dict in coordinator._db.iteritems():
# string to store db output
db_output = []
# get the session args
name = db_dict['name']
desc = db_dict['description']
engine = db_dict['args']['engine']
address = db_dict['args']['address']
user = db_dict['args']['user']
pwd = db_dict['args']['pwd']
db = db_dict['args']['db']
db_output.append('DATABASE : ' + id)
db_output.append('name: '+name)
db_output.append('description: '+desc)
db_output.append('engine: '+engine)
db_output.append('address: '+address)
db_output.append('database: '+db)
db_output.append('user: '******'connection string: '+db_dict['args']['connection_string'])
# get the formatted width
w = get_format_width(db_output)
# print the output
elog.info(' |'+(w)*'-'+'|')
elog.info(' *'+format_text(db_output[0], w,'center')+'*')
elog.info(' |'+(w)*'='+'|')
for l in db_output[1:]:
elog.info(' |'+format_text(l,w,'left')+'|')
elog.info(' |'+(w)*'-'+'|')
