def test_indices():
assert 'TG' in indices.indices()
def test_indices():
assert 'TG' in indices.indices()
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):
inputs = [
ComplexInput('resource', 'Resource',
abstract="NetCDF Files or archive (tar/zip) containing netCDF files.",
min_occurs=1,
max_occurs=1000,
# maxmegabites=5000,
supported_formats=[
Format('application/x-netcdf'),
Format('application/x-tar'),
Format('application/zip'),
]),
LiteralInput("indices", "Index",
abstract='Climate index code.',
default='TG',
data_type='string',
min_occurs=1,
max_occurs=1,
allowed_values=indices()
),
LiteralInput("grouping", "Grouping",
abstract="Temporal group over which the index is computed.",
default='yr',
data_type='string',
min_occurs=1,
max_occurs=1, # len(GROUPING),
allowed_values=GROUPING
),
LiteralInput('region', 'Region',
data_type='string',
# abstract= countries_longname(), # need to handle special non-ascii char in countries.
abstract="Country code, see ISO-3166-3:\
https://en.wikipedia.org/wiki/ISO_3166-1_alpha-3#Officially_assigned_code_elements",
min_occurs=0,
max_occurs=len(countries()),
# default='DEU',
allowed_values=countries()), # REGION_EUROPE #COUNTRIES
LiteralInput("mosaic", "Mosaic",
abstract="If Mosaic is checked, selected polygons be clipped as a mosaic for each input file",
default='0',
data_type='boolean',
min_occurs=0,
max_occurs=1,
),
]
outputs = [
ComplexOutput("output_archive", "Tar archive",
abstract="Tar archive of the netCDF files storing the index values.",
supported_formats=[Format("application/x-tar")],
as_reference=True,
),
ComplexOutput('ncout', 'Example netCDF file',
abstract="NetCDF file storing the index computed over one dataset.",
as_reference=True,
supported_formats=[Format('application/x-netcdf')]
),
ComplexOutput('output_log', 'Logging information',
abstract="Collected logs during process run.",
as_reference=True,
supported_formats=[Format("text/plain")])
]
super(IndicessingleProcess, self).__init__(
self._handler,
identifier="indices_single",
title="Climate indices (Single variable)",
version="0.10",
abstract="Climate index calculated from one daily input variable.",
metadata=[
{'title': 'Doc',
'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"},
],
inputs=inputs,
outputs=outputs,
status_supported=True,
store_supported=True
)
def test_indices(self):
nose.tools.ok_( 'TG' in indices.indices(), indices.indices() )
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
)
