def _compare_pc(cls, pc1, pc2):
if pc1:
pc1 = ParameterContext.load(pc1) or {}
if pc2:
pc2 = ParameterContext.load(pc2) or {}
if hasattr(pc1,'lookup_value') or hasattr(pc2,'lookup_value'):
if hasattr(pc1,'lookup_value') and hasattr(pc2,'lookup_value'):
return bool(pc1 == pc2) and pc1.document_key == pc2.document_key
return False
return bool(pc1 == pc2)
def _compare_pc(cls, pc1, pc2):
if pc1:
pc1 = ParameterContext.load(pc1) or {}
if pc2:
pc2 = ParameterContext.load(pc2) or {}
if hasattr(pc1, 'lookup_value') or hasattr(pc2, 'lookup_value'):
if hasattr(pc1, 'lookup_value') and hasattr(pc2, 'lookup_value'):
return bool(
pc1 == pc2) and pc1.document_key == pc2.document_key
return False
return bool(pc1 == pc2)
def add_parameter_to_dataset(self, parameter_context_id='', dataset_id=''):
cov = self._get_simplex_coverage(dataset_id, mode='r+')
parameter_ctx_res = self.read_parameter_context(parameter_context_id)
pc = ParameterContext.load(parameter_ctx_res.parameter_context)
cov.append_parameter(pc)
cov.close()
return True
def add_parameter_to_dataset(self, parameter_context_id='', dataset_id=''):
cov = self._get_simplex_coverage(dataset_id, mode='r+')
parameter_ctx_res = self.read_parameter_context(parameter_context_id)
pc = ParameterContext.load(parameter_ctx_res.parameter_context)
cov.append_parameter(pc)
cov.close()
return True
def get_parameter_context_by_name(cls, name=''):
dms_cli = DatasetManagementServiceClient()
pc_res = dms_cli.read_parameter_context_by_name(name=name,
id_only=False)
pc = ParameterContext.load(pc_res.parameter_context)
pc._identifier = pc_res._id
return pc
def create_dataset(self, name='', datastore_name='', view_name='', stream_id='', parameter_dict=None, spatial_domain=None, temporal_domain=None, parameter_dictionary_id='', description=''):
validate_true(parameter_dict or parameter_dictionary_id, 'A parameter dictionary must be supplied to register a new dataset.')
validate_is_not_none(spatial_domain, 'A spatial domain must be supplied to register a new dataset.')
validate_is_not_none(temporal_domain, 'A temporal domain must be supplied to register a new dataset.')
if parameter_dictionary_id:
pd = self.read_parameter_dictionary(parameter_dictionary_id)
pcs = self.read_parameter_contexts(parameter_dictionary_id, id_only=False)
parameter_dict = self._merge_contexts([ParameterContext.load(i.parameter_context) for i in pcs], pd.temporal_context)
parameter_dict = parameter_dict.dump()
dataset = Dataset()
dataset.description = description
dataset.name = name
dataset.primary_view_key = stream_id or None
dataset.datastore_name = datastore_name or self.DEFAULT_DATASTORE
dataset.view_name = view_name or self.DEFAULT_VIEW
dataset.parameter_dictionary = parameter_dict
dataset.temporal_domain = temporal_domain
dataset.spatial_domain = spatial_domain
dataset.registered = False
dataset_id, _ = self.clients.resource_registry.create(dataset)
if stream_id:
self.add_stream(dataset_id,stream_id)
log.debug('creating dataset: %s', dataset_id)
cov = self._create_coverage(dataset_id, description or dataset_id, parameter_dict, spatial_domain, temporal_domain)
self._save_coverage(cov)
cov.close()
return dataset_id
def _coverage_parameter_dictionary(self, parameter_dictionary_id):
pd = self.read_parameter_dictionary(parameter_dictionary_id)
pcs = self.read_parameter_contexts(parameter_dictionary_id,
id_only=False)
parameter_dict = self._merge_contexts(
[ParameterContext.load(i.parameter_context) for i in pcs],
pd.temporal_context)
return parameter_dict
def build_parameter_dictionary(cls, parameter_dictionary_obj,
parameter_contexts):
pdict = cls._merge_contexts([
ParameterContext.load(i.parameter_context)
for i in parameter_contexts
], parameter_dictionary_obj.temporal_context)
pdict._identifier = parameter_dictionary_obj._id
return pdict
def get_parameter_context(cls, parameter_context_id=''):
'''
Preferred client-side class method for constructing a parameter context
from a service call.
'''
dms_cli = DatasetManagementServiceClient()
pc_res = dms_cli.read_parameter_context(parameter_context_id=parameter_context_id)
pc = ParameterContext.load(pc_res.parameter_context)
pc._identifier = pc_res._id
return pc
def get_parameter_context(cls, parameter_context_id=''):
'''
Preferred client-side class method for constructing a parameter context
from a service call.
'''
dms_cli = DatasetManagementServiceClient()
pc_res = dms_cli.read_parameter_context(
parameter_context_id=parameter_context_id)
pc = ParameterContext.load(pc_res.parameter_context)
pc._identifier = pc_res._id
return pc
def add_parameter_to_dataset(self, parameter_context_id='', dataset_id=''):
cov = self._get_simplex_coverage(dataset_id, mode='r+')
parameter_ctx_res = self.read_parameter_context(parameter_context_id)
pc = ParameterContext.load(parameter_ctx_res.parameter_context)
cov.append_parameter(pc)
cov.close()
dataset = self.read_dataset(dataset_id)
pdict = cov.parameter_dictionary
dataset.parameter_dictionary = pdict.dump()
self.update_dataset(dataset)
return True
def create_dataset(self,
name='',
datastore_name='',
view_name='',
stream_id='',
parameter_dict=None,
spatial_domain=None,
temporal_domain=None,
parameter_dictionary_id='',
description=''):
validate_true(
parameter_dict or parameter_dictionary_id,
'A parameter dictionary must be supplied to register a new dataset.'
)
validate_is_not_none(
spatial_domain,
'A spatial domain must be supplied to register a new dataset.')
validate_is_not_none(
temporal_domain,
'A temporal domain must be supplied to register a new dataset.')
if parameter_dictionary_id:
pd = self.read_parameter_dictionary(parameter_dictionary_id)
pcs = self.read_parameter_contexts(parameter_dictionary_id,
id_only=False)
parameter_dict = self._merge_contexts(
[ParameterContext.load(i.parameter_context) for i in pcs],
pd.temporal_context)
parameter_dict = parameter_dict.dump()
dataset = Dataset()
dataset.description = description
dataset.name = name
dataset.primary_view_key = stream_id or None
dataset.datastore_name = datastore_name or self.DEFAULT_DATASTORE
dataset.view_name = view_name or self.DEFAULT_VIEW
dataset.parameter_dictionary = parameter_dict
dataset.temporal_domain = temporal_domain
dataset.spatial_domain = spatial_domain
dataset.registered = False
dataset_id, _ = self.clients.resource_registry.create(dataset)
if stream_id:
self.add_stream(dataset_id, stream_id)
log.debug('creating dataset: %s', dataset_id)
cov = self._create_coverage(dataset_id, description or dataset_id,
parameter_dict, spatial_domain,
temporal_domain)
self._save_coverage(cov)
cov.close()
return dataset_id
def get_parameter_dictionary(cls, parameter_dictionary_id=''):
'''
Preferred client-side class method for constructing a parameter dictionary
from a service call.
'''
dms_cli = DatasetManagementServiceClient()
pd = dms_cli.read_parameter_dictionary(parameter_dictionary_id)
pcs = dms_cli.read_parameter_contexts(parameter_dictionary_id=parameter_dictionary_id, id_only=False)
pdict = cls._merge_contexts([ParameterContext.load(i.parameter_context) for i in pcs], pd.temporal_context)
pdict._identifier = parameter_dictionary_id
return pdict
def get_parameter_dictionary(cls, parameter_dictionary_id=''):
'''
Preferred client-side class method for constructing a parameter dictionary
from a service call.
'''
dms_cli = DatasetManagementServiceClient()
pd = dms_cli.read_parameter_dictionary(parameter_dictionary_id)
pcs = dms_cli.read_parameter_contexts(
parameter_dictionary_id=parameter_dictionary_id, id_only=False)
pdict = cls._merge_contexts(
[ParameterContext.load(i.parameter_context) for i in pcs],
pd.temporal_context)
pdict._identifier = parameter_dictionary_id
return pdict
def create_dataset(self, name='', datastore_name='', view_name='', stream_id='', parameter_dict=None, parameter_dictionary_id='', description='', parent_dataset_id=''):
validate_true(parameter_dict or parameter_dictionary_id, 'A parameter dictionary must be supplied to register a new dataset.')
if parameter_dictionary_id:
pd = self.read_parameter_dictionary(parameter_dictionary_id)
pcs = self.read_parameter_contexts(parameter_dictionary_id, id_only=False)
parameter_dict = self._merge_contexts([ParameterContext.load(i.parameter_context) for i in pcs], pd.temporal_context)
parameter_dict = parameter_dict.dump()
parameter_dict = self.numpy_walk(parameter_dict)
dataset = Dataset()
dataset.description = description
dataset.name = name
dataset.primary_view_key = stream_id or None
dataset.datastore_name = datastore_name or self.DEFAULT_DATASTORE
dataset.view_name = view_name or self.DEFAULT_VIEW
dataset.parameter_dictionary = parameter_dict
dataset.registered = False
dataset_id, _ = self.clients.resource_registry.create(dataset)
if stream_id:
self.add_stream(dataset_id, stream_id)
log.debug('creating dataset: %s', dataset_id)
if parent_dataset_id:
vcov = self._create_view_coverage(dataset_id, description or dataset_id, parent_dataset_id)
vcov.close()
return dataset_id
cov = self._create_coverage(dataset_id, description or dataset_id, parameter_dict)
self._save_coverage(cov)
cov.close()
#table loader create resource
if self._get_eoi_service_available():
log.debug('DM:create dataset: %s -- dataset_id: %s', name, dataset_id)
self._create_single_resource(dataset_id, parameter_dict)
return dataset_id
def _compare_pc(cls, pc1, pc2):
if pc1:
pc1 = ParameterContext.load(pc1) or {}
if pc2:
pc2 = ParameterContext.load(pc2) or {}
return bool(pc1 == pc2)
def _coverage_parameter_dictionary(self, parameter_dictionary_id):
pd = self.read_parameter_dictionary(parameter_dictionary_id)
pcs = self.read_parameter_contexts(parameter_dictionary_id, id_only=False)
parameter_dict = self._merge_contexts([ParameterContext.load(i.parameter_context) for i in pcs], pd.temporal_context)
return parameter_dict
def build_parameter_dictionary(cls, parameter_dictionary_obj, parameter_contexts):
pdict = cls._merge_contexts([ParameterContext.load(i.parameter_context) for i in parameter_contexts],
parameter_dictionary_obj.temporal_context)
pdict._identifier = parameter_dictionary_obj._id
return pdict
def get_parameter_context_by_name(cls, name=''):
dms_cli = DatasetManagementServiceClient()
pc_res = dms_cli.read_parameter_context_by_name(name=name, id_only=False)
pc = ParameterContext.load(pc_res.parameter_context)
pc._identifier = pc_res._id
return pc
def _compare_pc(cls, pc1, pc2):
if pc1:
pc1 = ParameterContext.load(pc1) or {}
if pc2:
pc2 = ParameterContext.load(pc2) or {}
return bool(pc1 == pc2)
