if time_axis is not None:
units = time_axis.units.split()
if( len(units) == 3 ) and ( units[1] == 'since' ):
newunits = "%s since 1970-1-1" % units[0]
time_axis.toRelativeTime(newunits)
rv = input_variable if result is None else result_data
t1 = time.time()
wpsLog.debug( " $$$ Applied Operation: %s to variable shape %s in time %.4f, result shape = %s" % ( str( operation ), str(input_variable.shape), (t1-t0), rshape ) )
result_mdata['time'] = time_axis
return ( rv, result_mdata )
if __name__ == "__main__":
from kernels.manager import kernelMgr
from request.manager import TaskRequest
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)
run_args = { 'region': '{"longitude": -137.09327695888, "latitude": 35.487604770915, "level": 85000 }', # ,
'data': '{"collection": "MERRA/mon/atmos", "id": "hur"}',
# 'operation': '[ {"kernel": "time", "method": "departures", "bounds":"np" } ] '
'operation': '[ {"kernel": "time", "method": "climatology", "bounds":"annualcycle"} ] '
# 'operation': '[ {"kernel": "time", "method": "annualcycle", "bounds":"np"} ] '
}
kernelMgr.run( TaskRequest( request=run_args ) )
def run_kernel( dataSlice ):
kernel_args = generate_kernel_args( dataSlice, run_args )
SparkEngine.logger.debug( " Running kernel, args: %s" % kernel_args )
result = kernelMgr.run( kernel_args )
return result
