def _parse(
cls,
desc: binwrapper.BinWrapper,
codecs_list: typing.List[TypeDesc]
) -> typing.Optional[TypeDesc]:
t = desc.read_bytes(1)
tid = uuidgen.from_bytes(desc.read_bytes(16))
if t == CTYPE_SET:
pos = desc.read_ui16()
return SetDesc(tid=tid, subtype=codecs_list[pos])
elif t == CTYPE_SHAPE:
els = desc.read_ui16()
fields = {}
flags = {}
for _ in range(els):
flag = desc.read_bytes(1)[0]
name = desc.read_len32_prefixed_bytes().decode()
pos = desc.read_ui16()
fields[name] = codecs_list[pos]
flags[name] = flag
return ShapeDesc(tid=tid, flags=flags, fields=fields)
elif t == CTYPE_BASE_SCALAR:
return BaseScalarDesc(tid=tid)
elif t == CTYPE_SCALAR:
pos = desc.read_ui16()
return ScalarDesc(tid=tid, subtype=codecs_list[pos])
elif t == CTYPE_TUPLE:
els = desc.read_ui16()
fields = []
for _ in range(els):
pos = desc.read_ui16()
fields.append(codecs_list[pos])
return TupleDesc(tid=tid, fields=fields)
elif t == CTYPE_NAMEDTUPLE:
els = desc.read_ui16()
fields = {}
for _ in range(els):
name = desc.read_len32_prefixed_bytes().decode()
pos = desc.read_ui16()
fields[name] = codecs_list[pos]
return NamedTupleDesc(tid=tid, fields=fields)
elif t == CTYPE_ENUM:
els = desc.read_ui16()
names = []
for _ in range(els):
name = desc.read_len32_prefixed_bytes().decode()
names.append(name)
return EnumDesc(tid=tid, names=names)
elif t == CTYPE_ARRAY:
pos = desc.read_ui16()
els = desc.read_ui16()
if els != 1:
raise NotImplementedError(
'cannot handle arrays with more than one dimension')
dim_len = desc.read_i32()
return ArrayDesc(
tid=tid, dim_len=dim_len, subtype=codecs_list[pos])
elif (t >= 0xf0 and t <= 0xff):
# Ignore all type annotations.
desc.read_len32_prefixed_bytes()
else:
raise NotImplementedError(
f'no codec implementation for EdgeDB data class {t}')
def parse(self, buffer: binwrapper.BinWrapper) -> any:
return buffer.read_ui16()
