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clipc_simpleindicator_execute.py
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executable file
·174 lines (128 loc) · 8.36 KB
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from pywps.Process import WPSProcess
import icclim
import icclim.util.callback as callback
import dateutil.parser
from datetime import datetime
import os
from os.path import expanduser
from mkdir_p import *
transfer_limit_Mb = 100
class ProcessSimpleIndice(WPSProcess):
def __init__(self):
WPSProcess.__init__(self,
identifier = 'clipc_simpleindicator_execute', # only mandatary attribute = same file name
title = 'CLIPC ICCLIM simple indicator calculator Execute',
abstract = 'Using ICCLIM, single input indices of temperature TG, TX, TN, TXx, TXn, TNx, TNn, SU, TR, CSU, GD4, FD, CFD, ID, HD17; of rainfall: CDD, CWD, RR, RR1, SDII, R10mm, R20mm, RX1day, RX5day; and of snowfall: SD, SD1, SD5, SD50 can be computed.',
version = "1.0",
storeSupported = True,
statusSupported = True,
grassLocation =False)
self.indiceNameIn = self.addLiteralInput(identifier = 'indiceName',
title = 'Indicator name',
abstract = 'The indicator to calculate' ,
type="String",
default = 'SU')
self.indiceNameIn.values = ["TG","TX","TN","TXx","TXn","TNx","TNn","SU","TR","CSU","GD4","FD","CFD","ID","HD17","CDD","CWD","PRCPTOT","RR1","SDII","R10mm","R20mm","RX1day","RX5day","SD","SD1","SD5cm","SD50cm"]
self.sliceModeIn = self.addLiteralInput(identifier = 'sliceMode',
title = 'Time slice mode',
abstract = 'Selects temporal grouping to apply for calculations',
type="String",
default = 'year')
self.sliceModeIn.values = ["year","month","ONDJFM","AMJJAS","DJF","MAM","JJA","SON"]
self.thresholdIn = self.addLiteralInput(identifier = 'threshold',
title = 'Indicator threshold',
abstract = 'Threshold(s) for certain indices (SU, CSU and TR). Input can be a single numer or a number range, e.g. for SU this can be "20" or "20,21,22" degrees Celsius. None will use the default threshold as indicated by ICCLIM.',
type=type("S"),
minOccurs=0,
maxOccurs=1024,
default = 'None')
self.filesIn = self.addLiteralInput(identifier = 'wpsnetcdfinput_files',
title = 'Input filelist',
abstract="The input filelist to calculate the mean values for. The inputs need to be accessible by opendap URL's. It is also possible to select from the basket a catalog containing multiple files. The catalog will then be expanded to multiple files.",
type=type("S"),
minOccurs=0,
maxOccurs=1024,
default = 'http://opendap.knmi.nl/knmi/thredds/dodsC/IS-ENES/TESTSETS/tasmax_day_EC-EARTH_rcp26_r8i1p1_20060101-20251231.nc')
self.varNameIn = self.addLiteralInput(identifier = 'wpsvariable_varName~wpsnetcdfinput_files',
title = 'Input variable name',
abstract = 'Variable name to process as specified in your input files.',
type="String",
default = 'tasmax')
self.timeRangeIn = self.addLiteralInput(identifier = 'wpstimerange_timeRange~wpsnetcdfinput_files',
title = 'Time range',
abstract = 'Time range, e.g. 2010-01-01/2012-12-31. If None is selected, all dates in the file will be processed.',
type="String",
default = 'None')
self.outputFileNameIn = self.addLiteralInput(identifier = 'wpsnetcdfoutput_outputFileName',
title = 'Name of output netCDF file',
type="String",
default = 'out_icclim.nc')
self.NLevelIn = self.addLiteralInput(identifier = 'wpsnlevel_NLevel~wpsnetcdfinput_files',
title = 'Model level number',
abstract = 'The model level from your input data, in case you have 4D variables in your input data',
type="String",
default = 'None')
self.opendapURL = self.addLiteralOutput(identifier = "opendapURL",title = "opendapURL");
def callback(self,message,percentage):
self.status.set("%s" % str(message),str(percentage));
def execute(self):
# Very important: This allows the NetCDF library to find the users credentials (X509 cert)
homedir = os.environ['HOME']
os.chdir(homedir)
def callback(b):
self.callback("Processing",b)
files = [];
files.extend(self.filesIn.getValue())
var = self.varNameIn.getValue()
indice_name = self.indiceNameIn.getValue()
slice_mode = self.sliceModeIn.getValue()
time_range = self.timeRangeIn.getValue()
out_file_name = self.outputFileNameIn.getValue()
level = self.NLevelIn.getValue()
thresholdlist = self.thresholdIn.getValue()
thresh = None
if(level == "None"):
level = None
if(time_range == "None"):
time_range = None
else:
startdate = dateutil.parser.parse(time_range.split("/")[0])
stopdate = dateutil.parser.parse(time_range.split("/")[1])
time_range = [startdate,stopdate]
if(thresholdlist != "None"):
if(thresholdlist[0]!="None"):
thresh = []
for threshold in thresholdlist:
thresh.append(float(threshold))
self.status.set("Preparing....", 0)
pathToAppendToOutputDirectory = "/WPS_"+self.identifier+"_" + datetime.now().strftime("%Y%m%dT%H%M%SZ")
""" URL output path """
fileOutURL = os.environ['POF_OUTPUT_URL'] + pathToAppendToOutputDirectory+"/"
""" Internal output path"""
fileOutPath = os.environ['POF_OUTPUT_PATH'] + pathToAppendToOutputDirectory +"/"
""" Create output directory """
mkdir_p(fileOutPath)
self.status.set("Processing input list: "+str(files),0)
icclim.indice(indice_name=indice_name,
in_files=files,
var_name=var,
slice_mode=slice_mode,
time_range=time_range,
out_file=fileOutPath+out_file_name,
threshold=thresh,
N_lev=level,
transfer_limit_Mbytes=transfer_limit_Mb,
callback=callback,
callback_percentage_start_value=0,
callback_percentage_total=100,
base_period_time_range=None,
window_width=5,
only_leap_years=False,
ignore_Feb29th=True,
interpolation='hyndman_fan',
netcdf_version='NETCDF4_CLASSIC',
out_unit='days')
""" Set output """
url = fileOutURL+"/"+out_file_name;
self.opendapURL.setValue(url);
self.status.set("ready",100);