2 # Copyright (c) 2018 Cisco and/or its affiliates.
3 # Licensed under the Apache License, Version 2.0 (the "License");
4 # you may not use this file except in compliance with the License.
5 # You may obtain a copy of the License at:
7 # http://www.apache.org/licenses/LICENSE-2.0
9 # Unless required by applicable law or agreed to in writing, software
10 # distributed under the License is distributed on an "AS IS" BASIS,
11 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 # See the License for the specific language governing permissions and
13 # limitations under the License.
20 if sys.version_info <= (3, 4):
21 from aenum import IntEnum
23 from enum import IntEnum
25 if sys.version_info <= (3, 6):
26 from aenum import IntFlag
28 from enum import IntFlag
31 from . import vpp_format
37 # Set log-level in application by doing e.g.:
38 # logger = logging.getLogger('vpp_serializer')
39 # logger.setLevel(logging.DEBUG)
41 logger = logging.getLogger(__name__)
43 if sys.version[0] == '2':
44 def check(d): type(d) is dict
46 def check(d): type(d) is dict or type(d) is bytes
49 def conversion_required(data, field_type):
53 if type(data).__name__ in vpp_format.conversion_table[field_type]:
59 def conversion_packer(data, field_type):
60 t = type(data).__name__
61 return types[field_type].pack(vpp_format.
62 conversion_table[field_type][t](data))
65 def conversion_unpacker(data, field_type):
66 if field_type not in vpp_format.conversion_unpacker_table:
68 return vpp_format.conversion_unpacker_table[field_type](data)
71 class BaseTypes(object):
72 def __init__(self, type, elements=0):
73 base_types = {'u8': '>B',
83 if elements > 0 and (type == 'u8' or type == 'string'):
84 self.packer = struct.Struct('>%ss' % elements)
86 self.packer = struct.Struct(base_types[type])
87 self.size = self.packer.size
89 def pack(self, data, kwargs=None):
90 if not data: # Default to zero if not specified
92 return self.packer.pack(data)
94 def unpack(self, data, offset, result=None, ntc=False):
95 return self.packer.unpack_from(data, offset)[0], self.packer.size
102 self.length_field_packer = BaseTypes('u32')
104 def pack(self, list, kwargs=None):
106 return self.length_field_packer.pack(0) + b""
107 return self.length_field_packer.pack(len(list)) + list.encode('utf8')
109 def unpack(self, data, offset=0, result=None, ntc=False):
110 length, length_field_size = self.length_field_packer.unpack(data,
114 p = BaseTypes('u8', length)
115 x, size = p.unpack(data, offset + length_field_size)
116 x2 = x.split(b'\0', 1)[0]
117 return (x2.decode('utf8'), size + length_field_size)
120 types = {'u8': BaseTypes('u8'), 'u16': BaseTypes('u16'),
121 'u32': BaseTypes('u32'), 'i32': BaseTypes('i32'),
122 'u64': BaseTypes('u64'), 'f64': BaseTypes('f64'),
123 'bool': BaseTypes('bool'), 'string': String()}
126 def vpp_get_type(name):
133 class VPPSerializerValueError(ValueError):
137 class FixedList_u8(object):
138 def __init__(self, name, field_type, num):
141 self.packer = BaseTypes(field_type, num)
142 self.size = self.packer.size
143 self.field_type = field_type
145 def pack(self, data, kwargs=None):
146 """Packs a fixed length bytestring. Left-pads with zeros
147 if input data is too short."""
149 return b'\x00' * self.size
151 if len(data) > self.num:
152 raise VPPSerializerValueError(
153 'Fixed list length error for "{}", got: {}'
155 .format(self.name, len(data), self.num))
157 return self.packer.pack(data)
159 def unpack(self, data, offset=0, result=None, ntc=False):
160 if len(data[offset:]) < self.num:
161 raise VPPSerializerValueError(
162 'Invalid array length for "{}" got {}'
164 .format(self.name, len(data[offset:]), self.num))
165 if self.field_type == 'string':
166 s = self.packer.unpack(data, offset)
167 s2 = s[0].split(b'\0', 1)[0]
168 return (s2.decode('utf-8'), self.num)
169 return self.packer.unpack(data, offset)
172 class FixedList(object):
173 def __init__(self, name, field_type, num):
175 self.packer = types[field_type]
176 self.size = self.packer.size * num
178 self.field_type = field_type
180 def pack(self, list, kwargs):
181 if len(list) != self.num:
182 raise VPPSerializerValueError(
183 'Fixed list length error, got: {} expected: {}'
184 .format(len(list), self.num))
187 b += self.packer.pack(e)
190 def unpack(self, data, offset=0, result=None, ntc=False):
191 # Return a list of arguments
194 for e in range(self.num):
195 x, size = self.packer.unpack(data, offset, ntc=ntc)
202 class VLAList(object):
203 def __init__(self, name, field_type, len_field_name, index):
205 self.field_type = field_type
207 self.packer = types[field_type]
208 self.size = self.packer.size
209 self.length_field = len_field_name
211 def pack(self, list, kwargs=None):
214 if len(list) != kwargs[self.length_field]:
215 raise VPPSerializerValueError(
216 'Variable length error, got: {} expected: {}'
217 .format(len(list), kwargs[self.length_field]))
222 if self.packer.size == 1:
223 return bytearray(list)
226 b += self.packer.pack(e)
229 def unpack(self, data, offset=0, result=None, ntc=False):
230 # Return a list of arguments
234 if self.packer.size == 1:
235 if result[self.index] == 0:
237 p = BaseTypes('u8', result[self.index])
238 return p.unpack(data, offset, ntc=ntc)
241 for e in range(result[self.index]):
242 x, size = self.packer.unpack(data, offset, ntc=ntc)
249 class VLAList_legacy():
250 def __init__(self, name, field_type):
251 self.packer = types[field_type]
252 self.size = self.packer.size
254 def pack(self, list, kwargs=None):
255 if self.packer.size == 1:
260 b += self.packer.pack(e)
263 def unpack(self, data, offset=0, result=None, ntc=False):
265 # Return a list of arguments
266 if (len(data) - offset) % self.packer.size:
267 raise VPPSerializerValueError(
268 'Legacy Variable Length Array length mismatch.')
269 elements = int((len(data) - offset) / self.packer.size)
271 for e in range(elements):
272 x, size = self.packer.unpack(data, offset, ntc=ntc)
274 offset += self.packer.size
279 class VPPEnumType(object):
280 def __init__(self, name, msgdef):
281 self.size = types['u32'].size
284 if type(f) is dict and 'enumtype' in f:
285 if f['enumtype'] != 'u32':
286 raise NotImplementedError
289 e_hash[ename] = evalue
290 self.enum = IntFlag(name, e_hash)
293 def __getattr__(self, name):
294 return self.enum[name]
296 def __nonzero__(self):
299 def pack(self, data, kwargs=None):
300 return types['u32'].pack(data)
302 def unpack(self, data, offset=0, result=None, ntc=False):
303 x, size = types['u32'].unpack(data, offset)
304 return self.enum(x), size
307 class VPPUnionType(object):
308 def __init__(self, name, msgdef):
313 self.packers = collections.OrderedDict()
314 for i, f in enumerate(msgdef):
315 if type(f) is dict and 'crc' in f:
319 if f_type not in types:
320 logger.debug('Unknown union type {}'.format(f_type))
321 raise VPPSerializerValueError(
322 'Unknown message type {}'.format(f_type))
323 fields.append(f_name)
324 size = types[f_type].size
325 self.packers[f_name] = types[f_type]
331 self.tuple = collections.namedtuple(name, fields, rename=True)
333 # Union of variable length?
334 def pack(self, data, kwargs=None):
336 return b'\x00' * self.size
338 for k, v in data.items():
339 logger.debug("Key: {} Value: {}".format(k, v))
340 b = self.packers[k].pack(v, kwargs)
342 r = bytearray(self.size)
346 def unpack(self, data, offset=0, result=None, ntc=False):
349 for k, p in self.packers.items():
350 x, size = p.unpack(data, offset, ntc=ntc)
354 return self.tuple._make(r), maxsize
357 class VPPTypeAlias(object):
358 def __init__(self, name, msgdef):
360 t = vpp_get_type(msgdef['type'])
363 if 'length' in msgdef:
364 if msgdef['length'] == 0:
366 if msgdef['type'] == 'u8':
367 self.packer = FixedList_u8(name, msgdef['type'],
369 self.size = self.packer.size
371 self.packer = FixedList(name, msgdef['type'], msgdef['length'])
378 def pack(self, data, kwargs=None):
379 if data and conversion_required(data, self.name):
381 return conversion_packer(data, self.name)
382 # Python 2 and 3 raises different exceptions from inet_pton
383 except(OSError, socket.error, TypeError):
386 return self.packer.pack(data, kwargs)
388 def unpack(self, data, offset=0, result=None, ntc=False):
389 t, size = self.packer.unpack(data, offset, result, ntc=ntc)
391 return conversion_unpacker(t, self.name), size
395 class VPPType(object):
396 # Set everything up to be able to pack / unpack
397 def __init__(self, name, msgdef):
403 self.field_by_name = {}
405 for i, f in enumerate(msgdef):
406 if type(f) is dict and 'crc' in f:
409 f_type, f_name = f[:2]
410 self.fields.append(f_name)
411 self.field_by_name[f_name] = None
412 self.fieldtypes.append(f_type)
413 if f_type not in types:
414 logger.debug('Unknown type {}'.format(f_type))
415 raise VPPSerializerValueError(
416 'Unknown message type {}'.format(f_type))
417 if len(f) == 3: # list
419 if list_elements == 0:
420 p = VLAList_legacy(f_name, f_type)
421 self.packers.append(p)
422 elif f_type == 'u8' or f_type == 'string':
423 p = FixedList_u8(f_name, f_type, list_elements)
424 self.packers.append(p)
427 p = FixedList(f_name, f_type, list_elements)
428 self.packers.append(p)
430 elif len(f) == 4: # Variable length list
431 length_index = self.fields.index(f[3])
432 p = VLAList(f_name, f_type, f[3], length_index)
433 self.packers.append(p)
435 self.packers.append(types[f_type])
436 size += types[f_type].size
439 self.tuple = collections.namedtuple(name, self.fields, rename=True)
442 def pack(self, data, kwargs=None):
447 # Try one of the format functions
448 if data and conversion_required(data, self.name):
449 return conversion_packer(data, self.name)
451 for i, a in enumerate(self.fields):
452 if data and type(data) is not dict and a not in data:
453 raise VPPSerializerValueError(
454 "Invalid argument: {} expected {}.{}".
455 format(data, self.name, a))
457 # Defaulting to zero.
458 if not data or a not in data: # Default to 0
460 kwarg = None # No default for VLA
463 kwarg = kwargs[a] if a in kwargs else None
464 if isinstance(self.packers[i], VPPType):
465 b += self.packers[i].pack(arg, kwarg)
467 b += self.packers[i].pack(arg, kwargs)
471 def unpack(self, data, offset=0, result=None, ntc=False):
472 # Return a list of arguments
475 for p in self.packers:
476 x, size = p.unpack(data, offset, result, ntc)
477 if type(x) is tuple and len(x) == 1:
482 t = self.tuple._make(result)
484 t = conversion_unpacker(t, self.name)
488 class VPPMessage(VPPType):