def __init__(self):
WPSProcess.__init__(
self,
identifier="indices_percentile",
title="Climate indices -- Percentile",
version="0.9",
abstract=
"Climate indices based on one single input variable and the percentile of a reference period.",
metadata=[
{
'title':
'Documentation',
'href':
'http://flyingpigeon.readthedocs.io/en/latest/descriptions/index.html#climate-indices'
},
{
"title": "ICCLIM",
"href": "http://icclim.readthedocs.io/en/latest/"
},
{
"title":
"Percentile-based indices",
"href":
"http://flyingpigeon.readthedocs.io/en/latest/descriptions/indices.html#percentile-based-indices"
},
],
statusSupported=True,
storeSupported=True)
self.resource = self.addComplexInput(
identifier="resource",
title="Resouce",
abstract="NetCDF File",
minOccurs=1,
maxOccurs=100,
maxmegabites=5000,
formats=[{
"mimeType": "application/x-netcdf"
}],
)
self.indices = self.addLiteralInput(
identifier="indices",
title="Index",
abstract='Select an index',
default='TG',
type=type(''),
minOccurs=1,
maxOccurs=1, # len(indices()),
allowedValues=['TG', 'TN', 'TX'], # indices()
)
self.percentile = self.addLiteralInput(
identifier="percentile",
title="Percentile",
abstract='Select an percentile',
default=90,
type=type('0'),
minOccurs=1,
maxOccurs=1, # len(indices()),
allowedValues=range(1, 100), # indices()
)
self.refperiod = self.addLiteralInput(
identifier="refperiod",
title="Reference Period",
abstract="Time refperiod to retrieve the percentile level",
default="19700101-20101231",
type=type(''),
minOccurs=0,
maxOccurs=1,
)
#self.refperiod = self.addLiteralInput(
#identifier="refperiod",
#title="Reference refperiod",
#abstract="Reference refperiod for climate condition (all = entire timeserie)",
#default=None,
#type=type(''),
#minOccurs=0,
#maxOccurs=1,
#allowedValues=['all','1951-1980', '1961-1990', '1971-2000','1981-2010']
#)
self.groupings = self.addLiteralInput(
identifier="groupings",
title="Grouping",
abstract="Select an time grouping (time aggregation)",
default='yr',
type=type(''),
minOccurs=1,
maxOccurs=len(GROUPING),
allowedValues=GROUPING)
self.polygons = self.addLiteralInput(identifier="polygons",
title="Country subset",
abstract=countries_longname(),
default='DEU',
type=type(''),
minOccurs=0,
maxOccurs=len(countries()),
allowedValues=countries())
self.mosaic = self.addLiteralInput(
identifier="mosaic",
title="Mosaic",
abstract=
"If Mosaic is checked, selected polygons be clipped as a mosaic for each input file",
default=False,
type=type(False),
minOccurs=0,
maxOccurs=1,
)
# complex output
# -------------
self.output = self.addComplexOutput(
identifier="output",
title="Index",
abstract="Calculated index as NetCDF file",
metadata=[],
formats=[{
"mimeType": "application/x-tar"
}],
asReference=True)
def __init__(self):
WPSProcess.__init__(
self,
identifier = "indices_percentile",
title="Climate indices -- Percentile",
version = "0.1",
abstract="Climate indices based on one single input variable and the percentile of a referece refperiod.",
metadata = [
{'title': 'Documentation', 'href': 'http://flyingpigeon.readthedocs.io/en/latest/descriptions/index.html#climate-indices'},
{"title": "ICCLIM" , "href": "http://icclim.readthedocs.io/en/latest/"},
{"title": "Percentile-based indices", "href": "http://flyingpigeon.readthedocs.io/en/latest/descriptions/indices.html#percentile-based-indices"},
],
statusSupported=True,
storeSupported=True
)
self.resource = self.addComplexInput(
identifier="resource",
title="Resouce",
abstract="NetCDF File",
minOccurs=1,
maxOccurs=100,
maxmegabites=5000,
formats=[{"mimeType":"application/x-netcdf"}],
)
self.indices = self.addLiteralInput(
identifier="indices",
title="Indice",
abstract='Select an indice',
default='TG',
type=type(''),
minOccurs=1,
maxOccurs=1, # len(indices()),
allowedValues=['TG', 'TN', 'TX'], # indices()
)
self.percentile = self.addLiteralInput(
identifier="percentile",
title="Percentile",
abstract='Select an percentile',
default=90,
type=type('0'),
minOccurs=1,
maxOccurs=1, # len(indices()),
allowedValues=range(1,100), # indices()
)
self.refperiod = self.addLiteralInput(
identifier="refperiod",
title="Reference Period",
abstract="Time refperiod to retrieve the percentile level",
default="19700101-20101231",
type=type(''),
minOccurs=0,
maxOccurs=1,
)
#self.refperiod = self.addLiteralInput(
#identifier="refperiod",
#title="Reference refperiod",
#abstract="Reference refperiod for climate condition (all = entire timeserie)",
#default=None,
#type=type(''),
#minOccurs=0,
#maxOccurs=1,
#allowedValues=['all','1951-1980', '1961-1990', '1971-2000','1981-2010']
#)
self.groupings = self.addLiteralInput(
identifier="groupings",
title="Grouping",
abstract="Select an time grouping (time aggregation)",
default='yr',
type=type(''),
minOccurs=1,
maxOccurs=len(GROUPING),
allowedValues=GROUPING
)
self.polygons = self.addLiteralInput(
identifier="polygons",
title="Country subset",
abstract= countries_longname(),
default='DEU',
type=type(''),
minOccurs=0,
maxOccurs=len(countries()),
allowedValues=countries()
)
self.mosaik = self.addLiteralInput(
identifier="mosaik",
title="Mosaik",
abstract="If Mosaik is checked, selected polygons be clipped as a mosaik for each input file",
default=False,
type=type(False),
minOccurs=0,
maxOccurs=1,
)
# complex output
# -------------
self.output = self.addComplexOutput(
identifier="output",
title="Indice",
abstract="Calculated indice as NetCDF file",
metadata=[],
formats=[{"mimeType":"application/x-tar"}],
asReference=True
)
def __init__(self):
WPSProcess.__init__(
self,
identifier="indices_simple",
title="Climate indices -- Simple",
version="0.9",
abstract="Climate indices based on one single input variable.",
metadata=[
{'title': 'Documentation', 'href': 'http://flyingpigeon.readthedocs.io/en/latest/descriptions/index.html#climate-indices'},
{"title": "ICCLIM" , "href": "http://icclim.readthedocs.io/en/latest/"},
{"title": "Simple Indices", "href": "http://flyingpigeon.readthedocs.io/en/latest/descriptions/indices.html"}
],
statusSupported=True,
storeSupported=True
)
self.resource = self.addComplexInput(
identifier="resource",
title="Resouce",
abstract="NetCDF File",
minOccurs=1,
maxOccurs=100,
maxmegabites=5000,
formats=[{"mimeType": "application/x-netcdf"}],
)
self.groupings = self.addLiteralInput(
identifier="groupings",
title="Grouping",
abstract="Select an time grouping (time aggregation)",
default='yr',
type=type(''),
minOccurs=1,
maxOccurs=len(GROUPING),
allowedValues=GROUPING
)
self.indices = self.addLiteralInput(
identifier="indices",
title="Index",
abstract=indices_description(),
default='SU',
type=type(''),
minOccurs=1,
maxOccurs=len(indices()),
allowedValues=indices()
)
self.polygons = self.addLiteralInput(
identifier="polygons",
title="Country subset",
abstract=str(countries_longname()),
type=type(''),
minOccurs=0,
maxOccurs=len(countries()),
allowedValues=countries()
)
self.mosaic = self.addLiteralInput(
identifier="mosaic",
title="Mosaic",
abstract="If Mosaic is checked, selected polygons be clipped as a mosaic for each input file",
default=False,
type=type(False),
minOccurs=0,
maxOccurs=1,
)
# complex output
# -------------
self.output = self.addComplexOutput(
identifier="output",
title="Index",
abstract="Calculated index as NetCDF file",
metadata=[],
formats=[{"mimeType": "application/x-tar"}],
asReference=True
)
self.output_netcdf = self.addComplexOutput(
title="one dataset as example",
abstract="NetCDF file to be dispayed on WMS",
formats=[{"mimeType":"application/x-netcdf"}],
asReference=True,
identifier="ncout",
)
def __init__(self):
WPSProcess.__init__(
self,
identifier = "indices_single",
title="Calculation of climate indice (single variable)",
version = "0.3",
abstract="This process calculates climate indices based on one single variable.",
statusSupported=True,
storeSupported=True
)
self.resource = self.addComplexInput(
identifier="resource",
title="Resouce",
abstract="NetCDF File",
minOccurs=1,
maxOccurs=100,
maxmegabites=5000,
formats=[{"mimeType":"application/x-netcdf"}],
)
self.groupings = self.addLiteralInput(
identifier="groupings",
title="Grouping",
abstract="Select an time grouping (time aggregation)",
default='yr',
type=type(''),
minOccurs=1,
maxOccurs=len(GROUPING),
allowedValues=GROUPING
)
self.indices = self.addLiteralInput(
identifier="indices",
title="Indice",
abstract=indices_description(),
default='SU',
type=type(''),
minOccurs=1,
maxOccurs=len(indices()),
allowedValues=indices()
)
self.polygons = self.addLiteralInput(
identifier="polygons",
title="Country subset",
abstract= countries_longname(),
#default='FRA',
type=type(''),
minOccurs=0,
maxOccurs=len(countries()),
allowedValues=countries()
)
# complex output
# -------------
self.output = self.addComplexOutput(
identifier="output",
title="Indice",
abstract="Calculated indice as NetCDF file",
metadata=[],
formats=[{"mimeType":"application/x-netcdf"}],
asReference=True
)