def _create_parameter(self):
pdict = ParameterDictionary()
pdict = self._add_location_time_ctxt(pdict)
pres_ctxt = ParameterContext('pressure', param_type=QuantityType(value_encoding=numpy.float32))
pres_ctxt.uom = 'Pascal'
pres_ctxt.fill_value = 0x0
pdict.add_context(pres_ctxt)
temp_ctxt = ParameterContext('temp', param_type=QuantityType(value_encoding=numpy.float32))
temp_ctxt.uom = 'degree_Celsius'
temp_ctxt.fill_value = 0e0
pdict.add_context(temp_ctxt)
cond_ctxt = ParameterContext('conductivity', param_type=QuantityType(value_encoding=numpy.float32))
cond_ctxt.uom = 'unknown'
cond_ctxt.fill_value = 0e0
pdict.add_context(cond_ctxt)
raw_fixed_ctxt = ParameterContext('raw_fixed', param_type=QuantityType(value_encoding=numpy.float32))
raw_fixed_ctxt.uom = 'unknown'
raw_fixed_ctxt.fill_value = 0e0
pdict.add_context(raw_fixed_ctxt)
raw_blob_ctxt = ParameterContext('raw_blob', param_type=QuantityType(value_encoding=numpy.float32))
raw_blob_ctxt.uom = 'unknown'
raw_blob_ctxt.fill_value = 0e0
pdict.add_context(raw_blob_ctxt)
return pdict
def _splice_coverage(cls, dataset_id, scov):
file_root = FileSystem.get_url(FS.CACHE, 'datasets')
vcov = cls._get_coverage(dataset_id, mode='a')
scov_pth = scov.persistence_dir
if isinstance(vcov.reference_coverage, SimplexCoverage):
ccov = ComplexCoverage(
file_root,
uuid4().hex,
'Complex coverage for %s' % dataset_id,
reference_coverage_locs=[
vcov.head_coverage_path,
],
parameter_dictionary=ParameterDictionary(),
complex_type=ComplexCoverageType.TEMPORAL_AGGREGATION)
log.info('Creating Complex Coverage: %s', ccov.persistence_dir)
ccov.append_reference_coverage(scov_pth)
ccov_pth = ccov.persistence_dir
ccov.close()
vcov.replace_reference_coverage(ccov_pth)
elif isinstance(vcov.reference_coverage, ComplexCoverage):
log.info('Appending simplex coverage to complex coverage')
#vcov.reference_coverage.append_reference_coverage(scov_pth)
dir_path = vcov.reference_coverage.persistence_dir
vcov.close()
ccov = AbstractCoverage.load(dir_path, mode='a')
ccov.append_reference_coverage(scov_pth)
ccov.refresh()
ccov.close()
vcov.refresh()
vcov.close()
def _merge_contexts(cls, contexts, temporal):
pdict = ParameterDictionary()
for context in contexts:
if context.name == temporal:
context.axis = AxisTypeEnum.TIME
pdict.add_context(context, is_temporal=True)
else:
pdict.add_context(context)
return pdict
