def test_init(self):
dataset = self.get_dataset()
uri = dataset['uri']
variable = dataset['variable']
with nc_scope(uri) as ds:
nc_metadata = NcMetadata(ds)
keywords = dict(
uri=[None, self.get_dataset()['uri']],
variable=[None, self.get_dataset()['variable']],
request_dataset=[None, RequestDataset(uri=uri, variable=variable)],
meta=[None, nc_metadata])
for k in itr_products_keywords(keywords, as_namedtuple=True):
try:
ip = Inspect(**k._asdict())
except ValueError:
if k.uri is None and k.request_dataset is None and k.meta is None:
continue
else:
raise
ret = ip.__repr__()
search = re.search('URI = (.*)\n', ret).groups()[0]
if k.uri is None and k.meta is not None and k.request_dataset is None:
self.assertEqual(search, 'None')
else:
self.assertTrue(os.path.exists(search))
def inspect_as_dct(self):
'''
Return a dictionary representation of the target's metadata. If the variable
is `None`. An attempt will be made to find the target dataset's time bounds
raising a warning if none is found or the time variable is lacking units
and/or calendar attributes.
>>> rd = ocgis.RequestDataset('rhs_day_CanCM4_decadal2010_r2i1p1_20110101-20201231.nc','rhs')
>>> ret = rd.inspect_as_dct()
>>> ret.keys()
['dataset', 'variables', 'dimensions', 'derived']
>>> ret['derived']
OrderedDict([('Start Date', '2011-01-01 12:00:00'), ('End Date', '2020-12-31 12:00:00'), ('Calendar', '365_day'), ('Units', 'days since 1850-1-1'), ('Resolution (Days)', '1'), ('Count', '8192'), ('Has Bounds', 'True'), ('Spatial Reference', 'WGS84'), ('Proj4 String', '+proj=longlat +datum=WGS84 +no_defs '), ('Extent', '(-1.40625, -90.0, 358.59375, 90.0)'), ('Interface Type', 'NcPolygonDimension'), ('Resolution', '2.80091351339')])
:rtype: :class:`collections.OrderedDict`
'''
from ocgis import Inspect
ip = Inspect(request_dataset=self)
ret = ip._as_dct_()
return ret
def test_init(self):
dataset = self.get_dataset()
uri = dataset["uri"]
variable = dataset["variable"]
keywords = dict(
uri=[None, self.get_dataset()["uri"]],
variable=[None, self.get_dataset()["variable"]],
request_dataset=[None, RequestDataset(uri=uri, variable=variable)],
)
for k in itr_products_keywords(keywords, as_namedtuple=True):
try:
ip = Inspect(**k._asdict())
except ValueError:
if k.uri is None and k.request_dataset is None:
continue
else:
raise
ret = ip.__str__()
search = re.search("URI = (.*)\n", ret).groups()[0]
if k.uri is None and k.request_dataset is None:
self.assertEqual(search, "None")
else:
self.assertTrue(os.path.exists(search))
from ocgis import Inspect
import os.path
## Directory holding climate data.
DATA_DIR = '/usr/local/climate_data/CanCM4'
## Location and variable name for a daily decadal temperature simulation.
URI_TAS = os.path.join(
DATA_DIR, 'tas_day_CanCM4_decadal2000_r2i1p1_20010101-20101231.nc')
VAR_TAS = 'tas'
## Inspect the dataset at the global level.
print(Inspect(URI_TAS))
## Inspect a variable contained in a dataset.
print(Inspect(URI_TAS, variable=VAR_TAS))
def test_get_report_possible(self):
uri = [self.test_data.get_uri("cancm4_tas"), self.get_netcdf_path_no_dimensioned_variables()]
for u in uri:
ip = Inspect(uri=u)
target = ip.get_report_possible()
self.assertTrue(len(target) > 10)
def test_get_field_report(self):
rd = self.test_data.get_rd("cancm4_tas")
fai = Inspect(request_dataset=rd)
target = fai.get_field_report()
self.assertEqual(len(target), 25)
def test_append_dump_report(self):
path = self.get_netcdf_path_no_dimensioned_variables()
ip = Inspect(uri=path)
target = []
ip._append_dump_report_(target)
self.assertTrue(len(target) > 5)
