def _generate_initial_gml_db(self):
"""
Generates the initial slice in gml for importing using the database method and returns the gml for it
:rtype: File
"""
# Transform the axes domains such that only a point is defined.
# For the first slice we need to import a single point, which will then be updated with the real data
axes_map = OrderedDict()
for axis, grid_axis in self.coverage.get_insert_axes().items():
if axis.coefficient is not None:
assert type(axis.coefficient) == list, "Axis coefficients not of type list."
assert len(axis.coefficient) > 0, "The list of coefficients is empty."
# Get the first coefficient in irregular coverage to create a initial slice
axis = IrregularAxis(axis.label, axis.uomLabel, axis.low, axis.high, axis.origin, [axis.coefficient[0]],
axis.crs_axis)
axes_map[axis] = GridAxis(grid_axis.order, grid_axis.label, grid_axis.resolution, 0, 0)
metadata_provider = MetadataProvider(self.coverage.coverage_id, axes_map,
self.coverage.range_fields, self.coverage.crs, self.coverage.metadata,
self.grid_coverage)
tuple_list = []
# Tuple list for InsertCoverage request should be created from null values if they exist
for range_field in self.coverage.range_fields:
# If band doesn't have null value, default insert value is 0
insert_value = self.DEFAULT_INSERT_VALUE
if (range_field.nilValues is not None) and (len(range_field.nilValues) > 0):
insert_value = strip_trailing_zeros(range_field.nilValues[0].value.split(":")[0])
if insert_value == "":
insert_value = self.DEFAULT_INSERT_VALUE
tuple_list.append(insert_value)
data_provider = TupleListDataProvider(",".join(tuple_list))
mediator = Mediator(metadata_provider, data_provider)
return mediator.get_gml_file() if ConfigManager.mock else mediator.get_gml_str()
def _generate_initial_gml_db(self):
"""
Generates the initial slice in gml for importing using the database method and returns the gml for it
:rtype: File
"""
# Transform the axes domains such that only a point is defined.
# For the first slice we need to import a single point, which will then be updated with the real data
axes_map = OrderedDict()
for axis, grid_axis in self.coverage.get_insert_axes().iteritems():
if axis.coefficient is not None:
assert type(axis.coefficient
) == list, "Axis coefficients not of type list."
assert len(
axis.coefficient) > 0, "The list of coefficients is empty."
# Get the first coefficient in irregular coverage to create a initial slice
axis = IrregularAxis(axis.label, axis.uomLabel, axis.low,
axis.high, axis.origin,
[axis.coefficient[0]], axis.crs_axis)
axes_map[axis] = GridAxis(grid_axis.order, grid_axis.label,
grid_axis.resolution, 0, 0)
metadata_provider = MetadataProvider(
self.coverage.coverage_id, axes_map, self.coverage.range_fields,
self.coverage.crs, self.coverage.metadata, self.grid_coverage)
tuple_list = ",".join(['0'] * len(self.coverage.range_fields))
data_provider = TupleListDataProvider(tuple_list)
file = Mediator(metadata_provider, data_provider).get_gml_file()
return file
def _generate_gml_slice(self, slice):
"""
Generates the gml for a regular slice
:param slice: the slice for which the gml should be created
:rtype: GML file (if mock is true to debug) / gml string
"""
metadata_provider = MetadataProvider(self.coverage.coverage_id, self._get_update_axes(slice),
self.coverage.range_fields, self._get_update_crs(slice, self.coverage.crs),
slice.local_metadata, self.grid_coverage)
data_provider = slice.data_provider
mediator = Mediator(metadata_provider, data_provider)
return mediator.get_gml_file() if ConfigManager.mock else mediator.get_gml_str()
def _generate_initial_gml_inistu(self):
"""
Generates the initial slice in gml for importing using the insitu method and returns the gml file for it
:rtype: File
"""
metadata_provider = MetadataProvider(self.coverage.coverage_id, self.coverage.get_insert_axes(),
self.coverage.range_fields, self.coverage.crs, self.coverage.metadata,
self.grid_coverage)
data_provider = self.coverage.slices[0].data_provider
file = Mediator(metadata_provider, data_provider).get_gml_file()
self.processed += 1
self.resumer.add_imported_data(data_provider)
return file
def _generate_gml_slice(self, slice):
"""
Generates the gml for a regular slice
:param slice: the slice for which the gml should be created
:rtype: File
"""
metadata_provider = MetadataProvider(
self.coverage.coverage_id, self._get_update_axes(slice),
self.coverage.range_fields,
self._get_update_crs(slice, self.coverage.crs),
slice.local_metadata, self.grid_coverage)
data_provider = slice.data_provider
gml_file = Mediator(metadata_provider, data_provider).get_gml_file()
return gml_file