def sync_rdt_with_coverage(self, coverage=None, tdoa=None, start_time=None, end_time=None, stride_time=None, parameters=None):
'''
Builds a granule based on the coverage
'''
if coverage is None:
coverage = self.coverage
slice_ = slice(None) # Defaults to all values
if tdoa is not None and isinstance(tdoa,slice):
slice_ = tdoa
elif stride_time is not None:
validate_is_instance(start_time, Number, 'start_time must be a number for striding.')
validate_is_instance(end_time, Number, 'end_time must be a number for striding.')
validate_is_instance(stride_time, Number, 'stride_time must be a number for striding.')
ugly_range = np.arange(start_time, end_time, stride_time)
idx_values = [TimeUtils.get_relative_time(coverage,i) for i in ugly_range]
slice_ = [idx_values]
elif not (start_time is None and end_time is None):
time_var = coverage._temporal_param_name
uom = coverage.get_parameter_context(time_var).uom
if start_time is not None:
start_units = TimeUtils.ts_to_units(uom,start_time)
log.info('Units: %s', start_units)
start_idx = TimeUtils.get_relative_time(coverage,start_units)
log.info('Start Index: %s', start_idx)
start_time = start_idx
if end_time is not None:
end_units = TimeUtils.ts_to_units(uom,end_time)
log.info('End units: %s', end_units)
end_idx = TimeUtils.get_relative_time(coverage,end_units)
log.info('End index: %s', end_idx)
end_time = end_idx
slice_ = slice(start_time,end_time,stride_time)
log.info('Slice: %s', slice_)
if parameters is not None:
pdict = ParameterDictionary()
params = set(coverage.list_parameters()).intersection(parameters)
for param in params:
pdict.add_context(coverage.get_parameter_context(param))
rdt = RecordDictionaryTool(param_dictionary=pdict)
self.pdict = pdict
else:
rdt = RecordDictionaryTool(param_dictionary=coverage.parameter_dictionary)
fields = coverage.list_parameters()
if parameters is not None:
fields = set(fields).intersection(parameters)
for d in fields:
rdt[d] = coverage.get_parameter_values(d,tdoa=slice_)
self.rdt = rdt # Sync
def get_time_idx(cls, coverage, timeval):
temporal_variable = coverage.temporal_parameter_name
uom = coverage.get_parameter_context(temporal_variable).uom
units = TimeUtils.ts_to_units(uom, timeval)
idx = TimeUtils.get_relative_time(coverage, units)
return idx
def get_time_idx(cls, coverage, timeval):
temporal_variable = coverage.temporal_parameter_name
uom = coverage.get_parameter_context(temporal_variable).uom
units = TimeUtils.ts_to_units(uom, timeval)
idx = TimeUtils.get_relative_time(coverage, units)
return idx
def get_time_idx(cls, coverage, timeval):
corrected_time = cls.convert_time(coverage, timeval)
idx = TimeUtils.get_relative_time(coverage, corrected_time)
return idx
def sync_rdt_with_coverage(self,
coverage=None,
tdoa=None,
start_time=None,
end_time=None,
stride_time=None,
parameters=None):
'''
Builds a granule based on the coverage
'''
if coverage is None:
coverage = self.coverage
slice_ = slice(None) # Defaults to all values
if tdoa is not None and isinstance(tdoa, slice):
slice_ = tdoa
elif stride_time is not None:
validate_is_instance(start_time, Number,
'start_time must be a number for striding.')
validate_is_instance(end_time, Number,
'end_time must be a number for striding.')
validate_is_instance(stride_time, Number,
'stride_time must be a number for striding.')
ugly_range = np.arange(start_time, end_time, stride_time)
idx_values = [
TimeUtils.get_relative_time(coverage, i) for i in ugly_range
]
slice_ = [idx_values]
elif not (start_time is None and end_time is None):
time_var = coverage._temporal_param_name
uom = coverage.get_parameter_context(time_var).uom
if start_time is not None:
start_units = TimeUtils.ts_to_units(uom, start_time)
log.info('Units: %s', start_units)
start_idx = TimeUtils.get_relative_time(coverage, start_units)
log.info('Start Index: %s', start_idx)
start_time = start_idx
if end_time is not None:
end_units = TimeUtils.ts_to_units(uom, end_time)
log.info('End units: %s', end_units)
end_idx = TimeUtils.get_relative_time(coverage, end_units)
log.info('End index: %s', end_idx)
end_time = end_idx
slice_ = slice(start_time, end_time, stride_time)
log.info('Slice: %s', slice_)
if parameters is not None:
pdict = ParameterDictionary()
params = set(coverage.list_parameters()).intersection(parameters)
for param in params:
pdict.add_context(coverage.get_parameter_context(param))
rdt = RecordDictionaryTool(param_dictionary=pdict)
self.pdict = pdict
else:
rdt = RecordDictionaryTool(
param_dictionary=coverage.parameter_dictionary)
fields = coverage.list_parameters()
if parameters is not None:
fields = set(fields).intersection(parameters)
for d in fields:
rdt[d] = coverage.get_parameter_values(d, tdoa=slice_)
self.rdt = rdt # Sync
def get_time_idx(cls, coverage, timeval):
corrected_time = cls.convert_time(coverage, timeval)
idx = TimeUtils.get_relative_time(coverage, corrected_time)
return idx
