def _build_schema(self):
"""Build the schema, encorporating the core."""
# Determine the schema path
filename = os.path.abspath(inspect.getfile(self.__class__))
base_url = os.path.join(
os.path.dirname(filename), 'schemas', '')
schema_path = os.path.join(base_url, self.schema_url)
core_schema_path = os.path.join(base_url, self.core_schema_url)
# Get the schemas
schema = asdf_schema.load_schema(
schema_path,
resolve_references=True
)
core_schema = asdf_schema.load_schema(
core_schema_path,
resolve_references=True
)
# Create a new core.meta that will co-locate
# with each exposure entry. This is done
# by saving the meta information in a separate
# FITS HDU.
core_meta_schema = deepcopy(core_schema['properties']['meta'])
treeutil.walk(core_meta_schema, remove_fits)
exposure_schema = schema['allOf'][1]['properties']['exposures']['items']
exposure_meta_schema = exposure_schema['allOf'][1]['properties']['meta']
exposure_meta_schema.update(core_meta_schema)
# That's all folks
return schema
def _build_schema(self):
"""Build the schema, incorporating the core."""
# Get the schemas
schema = asdf_schema.load_schema(
self.schema_url,
resolver=AsdfFile().resolver,
resolve_references=True
)
core_schema = asdf_schema.load_schema(
self.core_schema_url,
resolver=AsdfFile().resolver,
resolve_references=True
)
# Create a new core.meta that will co-locate
# with each exposure entry. This is done
# by saving the meta information in a separate
# FITS HDU.
core_meta_schema = deepcopy(core_schema['properties']['meta'])
treeutil.walk(core_meta_schema, remove_fits)
exposure_schema = schema['allOf'][1]['properties']['exposures']['items']
exposure_meta_schema = exposure_schema['allOf'][1]['properties']['meta']
exposure_meta_schema.update(core_meta_schema)
# That's all folks
return schema
