-
Notifications
You must be signed in to change notification settings - Fork 1
/
is_enes_wps_timeavg.py
189 lines (150 loc) · 8.58 KB
/
is_enes_wps_timeavg.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
from pywps.Process import WPSProcess
import icclim
import icclim.util.callback as callback
import logging
import dateutil.parser
from datetime import datetime
import os
from os.path import expanduser
from mkdir_p import *
home = expanduser("~")
transfer_limit_Mb = 100
class ProcessSimpleIndice(WPSProcess):
def __init__(self):
WPSProcess.__init__(self,
identifier = 'is_enes_wps_timeavg', # only mandatary attribute = same file name
title = 'ICCLIM Time Averaging',
abstract = 'Computes time averages for any parameter by month, year of various seasons using ICCLIM. Please select the right variable and time range for the given input file. With this process it is for example possible to create yearly averages from daily data. The result is written to your basket and can be used in new processes.',
version = "1.0",
storeSupported = True,
statusSupported = True,
grassLocation =False)
self.sliceModeIn = self.addLiteralInput(identifier = 'sliceMode',
title = 'Slice mode (temporal grouping to apply for calculations)',
abstract = 'Selects temporal grouping to apply for calculations',
type="String",
default = 'None')
self.sliceModeIn.values = ["None","year","month","ONDJFM","AMJJAS","DJF","MAM","JJA","SON"]
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 = 'Variable name to process',
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 = 'A start/stop 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 = 'Number of level (if 4D variable)',
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)
tmpFolderPath=os.getcwd()
os.chdir(home)
def callback(b):
self.callback("Processing",b)
files = [];
files.extend(self.filesIn.getValue())
var = self.varNameIn.getValue()
slice_mode = self.sliceModeIn.getValue()
time_range = self.timeRangeIn.getValue()
out_file_name = self.outputFileNameIn.getValue()
level = self.NLevelIn.getValue()
if(level == "None"):
level = None
if(slice_mode == "None"):
slice_mode = 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]
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)
my_indice_params = {'indice_name': 'TIMEAVG',
'calc_operation': 'mean'
}
from netCDF4 import Dataset
dataset = Dataset(files[0])
isMember = False
memberIndex = 12
try:
for a in range(0,dataset.variables["member"].shape[0]):
isMember = True
logging.debug("Checking index " +str(a))
logging.debug("Has value "+str(dataset.variables["member"][a]))
memberValue = str("".join(dataset.variables["member"][a]))
logging.debug(memberValue)
if memberValue=="median":
memberIndex=a
except:
pass
if isMember == True:
logging.debug("IS Member data")
logging.debug("Using memberIndex "+str(memberIndex))
icclim.indice(user_indice=my_indice_params,
in_files=files,
var_name=var,
slice_mode=slice_mode,
time_range=time_range,
out_file=fileOutPath+out_file_name,
threshold=None,
N_lev=memberIndex,
lev_dim_pos=0,
#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',
out_unit='days')
else:
icclim.indice(user_indice=my_indice_params,
in_files=files,
var_name=var,
slice_mode=slice_mode,
time_range=time_range,
out_file=fileOutPath+out_file_name,
threshold=None,
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',
out_unit='days')
""" Set output """
url = fileOutURL+"/"+out_file_name;
self.opendapURL.setValue(url);
self.status.set("ready",100);