class BaseTypes(object):
def __init__(self, type, elements=0, options=None):
base_types = {'u8': '>B',
+ 'i8': '>b',
'string': '>s',
'u16': '>H',
+ 'i16': '>h',
'u32': '>I',
'i32': '>i',
'u64': '>Q',
+ 'i64': '>q',
'f64': '=d',
'bool': '>?',
'header': '>HI'}
class String(object):
- def __init__(self, options):
- self.name = 'string'
+ def __init__(self, name, num, options):
+ self.name = name
+ self.num = num
self.size = 1
self.length_field_packer = BaseTypes('u32')
- self.limit = options['limit'] if 'limit' in options else None
+ self.limit = options['limit'] if 'limit' in options else num
+ self.fixed = True if num else False
+ if self.fixed and not self.limit:
+ raise VPPSerializerValueError(
+ "Invalid argument length for: {}, {} maximum {}".
+ format(list, len(list), self.limit))
def pack(self, list, kwargs=None):
if not list:
+ if self.fixed:
+ return b"\x00" * self.limit
return self.length_field_packer.pack(0) + b""
- if self.limit and len(list) > self.limit:
+ if self.limit and len(list) > self.limit - 1:
raise VPPSerializerValueError(
"Invalid argument length for: {}, {} maximum {}".
- format(list, len(list), self.limit))
-
- return self.length_field_packer.pack(len(list)) + list.encode('utf8')
+ format(list, len(list), self.limit - 1))
+ if self.fixed:
+ return list.encode('ascii').ljust(self.limit, b'\x00')
+ return self.length_field_packer.pack(len(list)) + list.encode('ascii')
def unpack(self, data, offset=0, result=None, ntc=False):
+ if self.fixed:
+ p = BaseTypes('u8', self.num)
+ s = p.unpack(data, offset)
+ s2 = s[0].split(b'\0', 1)[0]
+ return (s2.decode('ascii'), self.num)
+
length, length_field_size = self.length_field_packer.unpack(data,
offset)
if length == 0:
- return b'', 0
+ return '', 0
p = BaseTypes('u8', length)
x, size = p.unpack(data, offset + length_field_size)
- x2 = x.split(b'\0', 1)[0]
- return (x2.decode('utf8'), size + length_field_size)
+ #x2 = x.split(b'\0', 1)[0]
+ return (x.decode('ascii', errors='replace'), size + length_field_size)
types = {'u8': BaseTypes('u8'), 'u16': BaseTypes('u16'),
'Invalid array length for "{}" got {}'
' expected {}'
.format(self.name, len(data[offset:]), self.num))
- if self.field_type == 'string':
- s = self.packer.unpack(data, offset)
- s2 = s[0].split(b'\0', 1)[0]
- return (s2.decode('utf-8'), self.num)
return self.packer.unpack(data, offset)
def __getattr__(self, name):
return self.enum[name]
- def __nonzero__(self):
+ def __bool__(self):
return True
+ if sys.version[0] == '2':
+ __nonzero__ = __bool__
+
def pack(self, data, kwargs=None):
return types[self.enumtype].pack(data)
self.name = name
t = vpp_get_type(msgdef['type'])
if not t:
- raise ValueError()
+ raise ValueError('No such type: {}'.format(msgdef['type']))
if 'length' in msgdef:
if msgdef['length'] == 0:
raise ValueError()
self.size = t.size
types[name] = self
+ self.toplevelconversion = False
def __call__(self, args):
self.options = args
return self.packer.pack(data, kwargs)
def unpack(self, data, offset=0, result=None, ntc=False):
+ if ntc == False and self.name in vpp_format.conversion_unpacker_table:
+ # Disable type conversion for dependent types
+ ntc = True
+ self.toplevelconversion = True
t, size = self.packer.unpack(data, offset, result, ntc=ntc)
- if not ntc:
+ if self.toplevelconversion:
+ self.toplevelconversion = False
return conversion_unpacker(t, self.name), size
return t, size
if fieldlen == 3: # list
list_elements = f[2]
if list_elements == 0:
- p = VLAList_legacy(f_name, f_type)
+ if f_type == 'string':
+ p = String(f_name, 0, self.options)
+ else:
+ p = VLAList_legacy(f_name, f_type)
self.packers.append(p)
- elif f_type == 'u8' or f_type == 'string':
+ elif f_type == 'u8':
p = FixedList_u8(f_name, f_type, list_elements)
self.packers.append(p)
size += p.size
+ elif f_type == 'string':
+ p = String(f_name, list_elements, self.options)
+ self.packers.append(p)
+ size += p.size
else:
p = FixedList(f_name, f_type, list_elements)
self.packers.append(p)
self.size = size
self.tuple = collections.namedtuple(name, self.fields, rename=True)
types[name] = self
+ self.toplevelconversion = False
def __call__(self, args):
self.options = args
# Return a list of arguments
result = []
total = 0
+ if ntc == False and self.name in vpp_format.conversion_unpacker_table:
+ # Disable type conversion for dependent types
+ ntc = True
+ self.toplevelconversion = True
+
for p in self.packers:
x, size = p.unpack(data, offset, result, ntc)
if type(x) is tuple and len(x) == 1:
offset += size
total += size
t = self.tuple._make(result)
- if not ntc:
+
+ if self.toplevelconversion:
+ self.toplevelconversion = False
t = conversion_unpacker(t, self.name)
return t, total