def getTaskRequestData( self, request_params ):
task_parameters = {}
request = dict( request_params )
inputs = request.get('datainputs',None)
wpsLog.debug( ">>>> REQUEST datainputs: %s" % str(inputs) )
if inputs:
if isinstance( inputs, dict ):
task_parameters.update( inputs )
elif isinstance( inputs, list ):
for item in inputs:
if isinstance( item, list ):
task_parameters[ str(item[0]) ] = convert_json_str( item[1] )
elif isinstance( item, basestring ):
self.parseDatainputsStr( item, task_parameters )
else:
self.parseDatainputsStr(self, inputs, task_parameters )
del request[ 'datainputs' ]
for key in self.dataInputKeys:
parameter = request.get(key,None)
if parameter:
if isinstance(parameter, basestring):
try:
parameter = json.loads( parameter )
except:
wpsLog.error( " Error json decoding parameter: '%s' " % parameter )
parameter = ""
task_parameters[ key ] = parameter
del request[key]
for key in self.controlKeys:
parameter = request.get(key,None)
if parameter:
if isinstance(parameter, basestring): parameter = parameter.lower()
task_parameters[ key ] = parameter
del request[key]
for item in request.items():
task_parameters[ item[0] ] = item[1]
for key_alias, alt_key in self.aliases.items():
if key_alias in task_parameters:
task_parameters[ alt_key ] = task_parameters[ key_alias ]
del task_parameters[ key_alias ]
return task_parameters
if __name__ == "__main__":
wpsLog.addHandler( logging.StreamHandler(sys.stdout) ) #logging.FileHandler( os.path.abspath( os.path.join(os.path.dirname(__file__), '..', 'logs', 'wps.log') ) ) )
wpsLog.setLevel(logging.DEBUG)
pp = pprint.PrettyPrinter(indent=4)
variables = [ { 'collection': 'MERRA/mon/atmos', 'id': 'clt' },
{ 'url': 'file://usr/local/web/data/MERRA/u750/merra_u750.xml', 'id': 'u' },
{ 'url': 'file://usr/local/web/data/MERRA/MERRA100.xml', 'id': 't' },
{ 'url': 'file://usr/local/web/data/MERRA/u750/merra_u750.nc', 'id': 'u' },
{ 'url': 'file://usr/local/web/data/MERRA/u750/merra_u750_1979_1982.nc', 'id': 'u' },
{ 'url': 'file://usr/local/web/WPCDAS/data/TestData.nc', 'id': 't' },
{ 'url': 'file://usr/local/web/WPCDAS/data/atmos_ua.nc', 'id': 'ua' } ]
var_index = 0
region = { "longitude":-24.20, "latitude":58.45 }
operations = [ '{"kernel":"time", "type":"climatology", "bounds":"annualcycle"}',
'{"kernel":"time", "type":"departures", "bounds":"np"}',
{ 'type': 'climatology', 'bounds': 'annualcycle' },
{ 'type': 'departures', 'bounds': '' },
{ 'type': 'climatology', 'bounds': '' },
{ 'type': 'departures', 'bounds': 'np' },
{ 'type': 'climatology', 'bounds': 'np' },
{ 'type': '', 'bounds': '' } ]
operation_index = 1
processor = TimeseriesAnalytics( convert_json_str( operations[operation_index] ) )
result = processor.run( { 'data':variables[var_index], 'region': region } )
print "\n ---------- Result: ---------- "
pp.pprint(result)