def cid_field_map(self):
cid_map = {}
for te in self.meta_tree / "fields":
if not isinstance(te, pygit2.Blob):
self.L.warn(
"cid_field_map: Unexpected TreeEntry type=%s @ meta/fields/%s",
te.type_str,
te.name,
)
continue
cid = json_unpack(te.data)
field_name = te.name
cid_map[cid] = field_name
return cid_map
def features(self):
geom_column = self.geom_column_name
for feature_dir in self._iter_feature_dirs():
source_feature_dict = {}
for attr_blob in feature_dir:
if not hasattr(attr_blob, "data"):
continue
attr = attr_blob.name
if attr == geom_column:
source_feature_dict[attr] = normalise_gpkg_geom(
attr_blob.data)
else:
source_feature_dict[attr] = json_unpack(attr_blob.data)
yield source_feature_dict
def decode_from_bytes(self, data):
if data is None:
return None
if self == self.BYTES:
return data
elif self in (self.TEXT, self.XML):
return ensure_text(data)
elif self == self.JSON:
return json_unpack(data)
elif self == self.WKT:
return crs_util.normalise_wkt(ensure_text(data))
else:
try:
return ensure_text(data)
except UnicodeDecodeError:
return binascii.hexlify(data).decode()
def loads(cls, data):
"""Load a schema from a bytestring"""
return cls.from_column_dicts(json_unpack(data))
def decode_from_bytes(self, data):
if data is None:
return None
return Schema.normalise_column_dicts(json_unpack(data))