There are some situations where we want to work with a type-name-wrapped
dict that includes the type information, and others where we don't want
that. The main reason is that nested IEs can only be reconstructed if
we can determine the type/class of the nested IE from the dict data.
Let's explicitly offer {to,from}_val_dict() methods that work with
the value-part only
Related: OS#6453
Change-Id: I81654ea54aed9e598943f41a26a57dcc3a7f10c2
559 lines
23 KiB
Python
559 lines
23 KiB
Python
"""object-oriented TLV parser/encoder library."""
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# (C) 2021 by Harald Welte <laforge@osmocom.org>
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# All Rights Reserved
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 2 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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import inspect
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import abc
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import re
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from typing import List, Tuple, Optional
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from pySim.utils import bertlv_encode_len, bertlv_parse_len, bertlv_encode_tag, bertlv_parse_tag
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from pySim.utils import comprehensiontlv_encode_tag, comprehensiontlv_parse_tag
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from pySim.utils import bertlv_parse_tag_raw, comprehensiontlv_parse_tag_raw
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from pySim.utils import dgi_parse_tag_raw, dgi_parse_len, dgi_encode_tag, dgi_encode_len
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from pySim.construct import build_construct, parse_construct
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def camel_to_snake(name):
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name = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', name)
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return re.sub('([a-z0-9])([A-Z])', r'\1_\2', name).lower()
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class TlvMeta(abc.ABCMeta):
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"""Metaclass which we use to set some class variables at the time of defining a subclass.
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This allows us to create subclasses for each TLV/IE type, where the class represents fixed
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parameters like the tag/type and instances of it represent the actual TLV data."""
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def __new__(mcs, name, bases, namespace, **kwargs):
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#print("TlvMeta_new_(mcs=%s, name=%s, bases=%s, namespace=%s, kwargs=%s)" % (mcs, name, bases, namespace, kwargs))
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x = super().__new__(mcs, name, bases, namespace)
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# this becomes a _class_ variable, not an instance variable
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x.tag = namespace.get('tag', kwargs.get('tag', None))
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x.desc = namespace.get('desc', kwargs.get('desc', None))
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nested = namespace.get('nested', kwargs.get('nested', None))
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if nested is None or inspect.isclass(nested) and issubclass(nested, TLV_IE_Collection):
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# caller has specified TLV_IE_Collection sub-class, we can directly reference it
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x.nested_collection_cls = nested
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else:
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# caller passed list of other TLV classes that might possibly appear within us,
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# build a dynamically-created TLV_IE_Collection sub-class and reference it
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name = 'auto_collection_%s' % (name)
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cls = type(name, (TLV_IE_Collection,), {'nested': nested})
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x.nested_collection_cls = cls
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return x
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class TlvCollectionMeta(abc.ABCMeta):
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"""Metaclass which we use to set some class variables at the time of defining a subclass.
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This allows us to create subclasses for each Collection type, where the class represents fixed
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parameters like the nested IE classes and instances of it represent the actual TLV data."""
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def __new__(mcs, name, bases, namespace, **kwargs):
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#print("TlvCollectionMeta_new_(mcs=%s, name=%s, bases=%s, namespace=%s, kwargs=%s)" % (mcs, name, bases, namespace, kwargs))
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x = super().__new__(mcs, name, bases, namespace)
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# this becomes a _class_ variable, not an instance variable
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x.possible_nested = namespace.get('nested', kwargs.get('nested', None))
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return x
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class Transcodable(abc.ABC):
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_construct = None
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"""Base class for something that can be encoded + encoded. Decoding and Encoding happens either
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* via a 'construct' object stored in a derived class' _construct variable, or
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* via a 'construct' object stored in an instance _construct variable, or
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* via a derived class' _{to,from}_bytes() methods."""
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def __init__(self):
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self.encoded = None
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self.decoded = None
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self._construct = None
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def to_bytes(self, context: dict = {}) -> bytes:
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"""Convert from internal representation to binary bytes. Store the binary result
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in the internal state and return it."""
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if self.decoded is None:
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do = b''
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elif self._construct:
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do = build_construct(self._construct, self.decoded, context)
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elif self.__class__._construct:
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do = build_construct(self.__class__._construct, self.decoded, context)
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else:
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do = self._to_bytes()
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self.encoded = do
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return do
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# not an abstractmethod, as it is only required if no _construct exists
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def _to_bytes(self):
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raise NotImplementedError('%s._to_bytes' % type(self).__name__)
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def from_bytes(self, do: bytes, context: dict = {}):
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"""Convert from binary bytes to internal representation. Store the decoded result
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in the internal state and return it."""
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self.encoded = do
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if self.encoded == b'':
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self.decoded = None
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elif self._construct:
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self.decoded = parse_construct(self._construct, do, context=context)
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elif self.__class__._construct:
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self.decoded = parse_construct(self.__class__._construct, do, context=context)
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else:
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self.decoded = self._from_bytes(do)
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return self.decoded
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# not an abstractmethod, as it is only required if no _construct exists
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def _from_bytes(self, do: bytes):
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raise NotImplementedError('%s._from_bytes' % type(self).__name__)
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class IE(Transcodable, metaclass=TlvMeta):
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# we specify the metaclass so any downstream subclasses will automatically use it
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"""Base class for various Information Elements. We understand the notion of a hierarchy
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of IEs on top of the Transcodable class."""
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# this is overridden by the TlvMeta metaclass, if it is used to create subclasses
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nested_collection_cls = None
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tag = None
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def __init__(self, **kwargs):
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super().__init__()
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self.nested_collection = None
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if self.nested_collection_cls:
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self.nested_collection = self.nested_collection_cls()
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# if we are a constructed IE, [ordered] list of actual child-IE instances
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self.children = kwargs.get('children', [])
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self.decoded = kwargs.get('decoded', None)
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def __repr__(self):
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"""Return a string representing the [nested] IE data (for print)."""
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if len(self.children):
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member_strs = [repr(x) for x in self.children]
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return '%s(%s)' % (type(self).__name__, ','.join(member_strs))
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else:
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return '%s(%s)' % (type(self).__name__, self.decoded)
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def to_val_dict(self):
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"""Return a JSON-serializable dict representing just the [nested] value portion of the IE
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data. This does not include any indication of the type of 'self', so the resulting dict alone
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will be insufficient ot recreate an object from it without additional type information."""
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if len(self.children):
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return [x.to_dict() for x in self.children]
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else:
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return self.decoded
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def from_val_dict(self, decoded):
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"""Set the IE internal decoded representation to data from the argument.
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If this is a nested IE, the child IE instance list is re-created.
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This method is symmetrical to to_val_dict() aboe, i.e. there is no outer dict
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containig the snake-reformatted type name of 'self'."""
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if self.nested_collection:
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self.children = self.nested_collection.from_dict(decoded)
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else:
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self.children = []
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self.decoded = decoded
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def to_dict(self):
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"""Return a JSON-serializable dict representing the [nested] IE data. The returned
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data contains an outer dict with the snake-reformatted type of 'self' and is hence
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sufficient to re-create an object from it."""
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return {camel_to_snake(type(self).__name__): self.to_val_dict()}
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def from_dict(self, decoded: dict):
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"""Set the IE internal decoded representation to data from the argument.
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If this is a nested IE, the child IE instance list is re-created.
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This method is symmetrical to to_dict() above, i.e. the outer dict must contain just a single
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key-value pair, where the key is the snake-reformatted type name of 'self'"""
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expected_key_name = camel_to_snake(type(self).__name__)
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if not expected_key_name in decoded:
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raise ValueError("Dict %s doesn't contain expected key %s" % (decoded, expected_key_name))
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self.from_val_dict(decoded[expected_key_name])
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def is_constructed(self):
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"""Is this IE constructed by further nested IEs?"""
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return bool(len(self.children) > 0)
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@abc.abstractmethod
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def to_ie(self, context: dict = {}) -> bytes:
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"""Convert the internal representation to entire IE including IE header."""
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def to_bytes(self, context: dict = {}) -> bytes:
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"""Convert the internal representation *of the value part* to binary bytes."""
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if self.is_constructed():
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# concatenate the encoded IE of all children to form the value part
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out = b''
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for c in self.children:
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out += c.to_ie(context=context)
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return out
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else:
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return super().to_bytes(context=context)
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def from_bytes(self, do: bytes, context: dict = {}):
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"""Parse *the value part* from binary bytes to internal representation."""
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if self.nested_collection:
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self.children = self.nested_collection.from_bytes(do, context=context)
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else:
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self.children = []
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return super().from_bytes(do, context=context)
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def child_by_name(self, name: str) -> Optional['IE']:
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"""Return a child IE instance of given snake-case/json type name. This only works in case
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there is no more than one child IE of the given type."""
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children = list(filter(lambda c: camel_to_snake(type(c).__name__) == name, self.children))
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if len(children) > 1:
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raise KeyError('There are multiple children of class %s' % name)
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elif len(children) == 1:
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return children[0]
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def child_by_type(self, cls) -> Optional['IE']:
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"""Return a child IE instance of given type (class). This only works in case
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there is no more than one child IE of the given type."""
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children = list(filter(lambda c: isinstance(c, cls), self.children))
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if len(children) > 1:
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raise KeyError('There are multiple children of class %s' % cls)
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elif len(children) == 1:
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return children[0]
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class TLV_IE(IE):
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"""Abstract base class for various TLV type Information Elements."""
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def _compute_tag(self) -> int:
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"""Compute the tag (sometimes the tag encodes part of the value)."""
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return self.tag
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@classmethod
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@abc.abstractmethod
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def _parse_tag_raw(cls, do: bytes) -> Tuple[int, bytes]:
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"""Obtain the raw TAG at the start of the bytes provided by the user."""
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@classmethod
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@abc.abstractmethod
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def _parse_len(cls, do: bytes) -> Tuple[int, bytes]:
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"""Obtain the length encoded at the start of the bytes provided by the user."""
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@abc.abstractmethod
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def _encode_tag(self) -> bytes:
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"""Encode the tag part. Must be provided by derived (TLV format specific) class."""
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@abc.abstractmethod
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def _encode_len(self, val: bytes) -> bytes:
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"""Encode the length part assuming a certain binary value. Must be provided by
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derived (TLV format specific) class."""
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def to_ie(self, context: dict = {}):
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return self.to_tlv(context=context)
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def to_tlv(self, context: dict = {}):
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"""Convert the internal representation to binary TLV bytes."""
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val = self.to_bytes(context=context)
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return self._encode_tag() + self._encode_len(val) + val
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def is_tag_compatible(self, rawtag) -> bool:
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"""Is the given rawtag compatible with this class?"""
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return rawtag == self._compute_tag()
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def from_tlv(self, do: bytes, context: dict = {}):
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if len(do) == 0:
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return {}, b''
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(rawtag, remainder) = self.__class__._parse_tag_raw(do)
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if rawtag:
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if not self.is_tag_compatible(rawtag):
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raise ValueError("%s: Encountered tag %s doesn't match our supported tag %s" %
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(self, rawtag, self.tag))
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(length, remainder) = self.__class__._parse_len(remainder)
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value = remainder[:length]
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remainder = remainder[length:]
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else:
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value = do
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remainder = b''
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dec = self.from_bytes(value, context=context)
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return dec, remainder
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class COMPACT_TLV_IE(TLV_IE):
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"""TLV_IE formatted as COMPACT-TLV described in ISO 7816"""
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@classmethod
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def _parse_tag_raw(cls, do: bytes) -> Tuple[int, bytes]:
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return do[0] >> 4, do
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@classmethod
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def _decode_tag(cls, do: bytes) -> Tuple[dict, bytes]:
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rawtag, remainder = cls._parse_tag_raw(do)
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return {'tag': rawtag}, remainder
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@classmethod
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def _parse_len(cls, do: bytes) -> Tuple[int, bytes]:
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return do[0] & 0xf, do[1:]
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def _encode_tag(self) -> bytes:
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"""Not needed as we override the to_tlv() method to encode tag+length into one byte."""
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raise NotImplementedError
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def _encode_len(self):
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"""Not needed as we override the to_tlv() method to encode tag+length into one byte."""
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raise NotImplementedError
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def to_tlv(self, context: dict = {}):
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val = self.to_bytes(context=context)
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return bytes([(self.tag << 4) | (len(val) & 0xF)]) + val
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class BER_TLV_IE(TLV_IE):
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"""TLV_IE formatted as ASN.1 BER described in ITU-T X.690 8.1.2."""
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@classmethod
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def _decode_tag(cls, do: bytes) -> Tuple[dict, bytes]:
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return bertlv_parse_tag(do)
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@classmethod
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def _parse_tag_raw(cls, do: bytes) -> Tuple[int, bytes]:
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return bertlv_parse_tag_raw(do)
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@classmethod
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def _parse_len(cls, do: bytes) -> Tuple[int, bytes]:
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return bertlv_parse_len(do)
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def _encode_tag(self) -> bytes:
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return bertlv_encode_tag(self._compute_tag())
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def _encode_len(self, val: bytes) -> bytes:
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return bertlv_encode_len(len(val))
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class ComprTlvMeta(TlvMeta):
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def __new__(mcs, name, bases, namespace, **kwargs):
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x = super().__new__(mcs, name, bases, namespace, **kwargs)
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if x.tag:
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# we currently assume that the tag values always have the comprehension bit set;
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# let's fix it up if a derived class has forgotten about that
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if x.tag > 0xff and x.tag & 0x8000 == 0:
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print("Fixing up COMPR_TLV_IE class %s: tag=0x%x has no comprehension bit" % (name, x.tag))
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x.tag = x.tag | 0x8000
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elif x.tag & 0x80 == 0:
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print("Fixing up COMPR_TLV_IE class %s: tag=0x%x has no comprehension bit" % (name, x.tag))
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x.tag = x.tag | 0x80
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return x
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class COMPR_TLV_IE(TLV_IE, metaclass=ComprTlvMeta):
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"""TLV_IE formated as COMPREHENSION-TLV as described in ETSI TS 101 220."""
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def __init__(self, **kwargs):
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super().__init__(**kwargs)
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self.comprehension = False
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@classmethod
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def _decode_tag(cls, do: bytes) -> Tuple[dict, bytes]:
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return comprehensiontlv_parse_tag(do)
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@classmethod
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def _parse_tag_raw(cls, do: bytes) -> Tuple[int, bytes]:
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return comprehensiontlv_parse_tag_raw(do)
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@classmethod
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def _parse_len(cls, do: bytes) -> Tuple[int, bytes]:
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return bertlv_parse_len(do)
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def is_tag_compatible(self, rawtag: int) -> bool:
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"""Override is_tag_compatible as we need to mask out the
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comprehension bit when doing compares."""
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ctag = self._compute_tag()
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if ctag > 0xff:
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return ctag & 0x7fff == rawtag & 0x7fff
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else:
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return ctag & 0x7f == rawtag & 0x7f
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def _encode_tag(self) -> bytes:
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return comprehensiontlv_encode_tag(self._compute_tag())
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def _encode_len(self, val: bytes) -> bytes:
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return bertlv_encode_len(len(val))
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class DGI_TLV_IE(TLV_IE):
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"""TLV_IE formated as GlobalPlatform Systems Scripting Language Specification v1.1.0 Annex B."""
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@classmethod
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def _parse_tag_raw(cls, do: bytes) -> Tuple[int, bytes]:
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return dgi_parse_tag_raw(do)
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@classmethod
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def _parse_len(cls, do: bytes) -> Tuple[int, bytes]:
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return dgi_parse_len(do)
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def _encode_tag(self) -> bytes:
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return dgi_encode_tag(self._compute_tag())
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def _encode_len(self, val: bytes) -> bytes:
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return dgi_encode_len(len(val))
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class TLV_IE_Collection(metaclass=TlvCollectionMeta):
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# we specify the metaclass so any downstream subclasses will automatically use it
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"""A TLV_IE_Collection consists of multiple TLV_IE classes identified by their tags.
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A given encoded DO may contain any of them in any order, and may contain multiple instances
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of each DO."""
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# this is overridden by the TlvCollectionMeta metaclass, if it is used to create subclasses
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possible_nested = []
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def __init__(self, desc=None, **kwargs):
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self.desc = desc
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#print("possible_nested: ", self.possible_nested)
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self.members = kwargs.get('nested', self.possible_nested)
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self.members_by_tag = {}
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self.members_by_name = {}
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self.members_by_tag = {m.tag: m for m in self.members}
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self.members_by_name = {camel_to_snake(m.__name__): m for m in self.members}
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# if we are a constructed IE, [ordered] list of actual child-IE instances
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self.children = kwargs.get('children', [])
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self.encoded = None
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def __str__(self):
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member_strs = [str(x) for x in self.members]
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return '%s(%s)' % (type(self).__name__, ','.join(member_strs))
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def __repr__(self):
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member_strs = [repr(x) for x in self.members]
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return '%s(%s)' % (self.__class__, ','.join(member_strs))
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def __add__(self, other):
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"""Extending TLV_IE_Collections with other TLV_IE_Collections or TLV_IEs."""
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if isinstance(other, TLV_IE_Collection):
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# adding one collection to another
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members = self.members + other.members
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return TLV_IE_Collection(self.desc, nested=members)
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elif inspect.isclass(other) and issubclass(other, TLV_IE):
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# adding a member to a collection
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return TLV_IE_Collection(self.desc, nested=self.members + [other])
|
|
else:
|
|
raise TypeError
|
|
|
|
def from_bytes(self, binary: bytes, context: dict = {}) -> List[TLV_IE]:
|
|
"""Create a list of TLV_IEs from the collection based on binary input data.
|
|
Args:
|
|
binary : binary bytes of encoded data
|
|
Returns:
|
|
list of instances of TLV_IE sub-classes containing parsed data
|
|
"""
|
|
self.encoded = binary
|
|
# list of instances of TLV_IE collection member classes appearing in the data
|
|
res = []
|
|
remainder = binary
|
|
first = next(iter(self.members_by_tag.values()))
|
|
# iterate until no binary trailer is left
|
|
while len(remainder):
|
|
context['siblings'] = res
|
|
# obtain the tag at the start of the remainder
|
|
tag, _r = first._parse_tag_raw(remainder)
|
|
if tag is None:
|
|
break
|
|
if issubclass(first, COMPR_TLV_IE):
|
|
tag = tag | 0x80 # HACK: always assume comprehension
|
|
if tag in self.members_by_tag:
|
|
cls = self.members_by_tag[tag]
|
|
# create an instance and parse accordingly
|
|
inst = cls()
|
|
_dec, remainder = inst.from_tlv(remainder, context=context)
|
|
res.append(inst)
|
|
else:
|
|
# unknown tag; create the related class on-the-fly using the same base class
|
|
name = 'unknown_%s_%X' % (first.__base__.__name__, tag)
|
|
cls = type(name, (first.__base__,), {'tag': tag, 'possible_nested': [],
|
|
'nested_collection_cls': None})
|
|
cls._from_bytes = lambda s, a: {'raw': a.hex()}
|
|
cls._to_bytes = lambda s: bytes.fromhex(s.decoded['raw'])
|
|
# create an instance and parse accordingly
|
|
inst = cls()
|
|
_dec, remainder = inst.from_tlv(remainder, context=context)
|
|
res.append(inst)
|
|
self.children = res
|
|
return res
|
|
|
|
def from_dict(self, decoded: List[dict]) -> List[TLV_IE]:
|
|
"""Create a list of TLV_IE instances from the collection based on an array
|
|
of dicts, where they key indicates the name of the TLV_IE subclass to use."""
|
|
# list of instances of TLV_IE collection member classes appearing in the data
|
|
res = []
|
|
# iterate over members of the list passed into "decoded"
|
|
for i in decoded:
|
|
# iterate over all the keys (typically one!) within the current list item dict
|
|
for k in i.keys():
|
|
# check if we have a member identified by the dict key
|
|
if k in self.members_by_name:
|
|
# resolve the class for that name; create an instance of it
|
|
cls = self.members_by_name[k]
|
|
inst = cls()
|
|
if cls.nested_collection_cls:
|
|
# in case of collections, we want to pass the raw "value" portion to from_dict,
|
|
# as to_dict() below intentionally omits the collection-class-name as key
|
|
inst.from_dict(i[k])
|
|
else:
|
|
inst.from_dict({k: i[k]})
|
|
res.append(inst)
|
|
else:
|
|
raise ValueError('%s: Unknown TLV Class %s in %s; expected %s' %
|
|
(self, k, decoded, self.members_by_name.keys()))
|
|
self.children = res
|
|
return res
|
|
|
|
def to_dict(self):
|
|
# we intentionally return not a dict, but a list of dicts. We could prefix by
|
|
# self.__class__.__name__, but that is usually some meaningless auto-generated collection name.
|
|
return [x.to_dict() for x in self.children]
|
|
|
|
def to_bytes(self, context: dict = {}):
|
|
out = b''
|
|
context['siblings'] = self.children
|
|
for c in self.children:
|
|
out += c.to_tlv(context=context)
|
|
return out
|
|
|
|
def from_tlv(self, do, context: dict = {}):
|
|
return self.from_bytes(do, context=context)
|
|
|
|
def to_tlv(self, context: dict = {}):
|
|
return self.to_bytes(context=context)
|
|
|
|
|
|
def flatten_dict_lists(inp):
|
|
"""hierarchically flatten each list-of-dicts into a single dict. This is useful to
|
|
make the output of hierarchical TLV decoder structures flatter and more easy to read."""
|
|
def are_all_elements_dict(l):
|
|
for e in l:
|
|
if not isinstance(e, dict):
|
|
return False
|
|
return True
|
|
|
|
def are_elements_unique(lod):
|
|
set_of_keys = {list(x.keys())[0] for x in lod}
|
|
return len(lod) == len(set_of_keys)
|
|
|
|
if isinstance(inp, list):
|
|
if are_all_elements_dict(inp) and are_elements_unique(inp):
|
|
# flatten into one shared dict
|
|
newdict = {}
|
|
for e in inp:
|
|
key = list(e.keys())[0]
|
|
newdict[key] = e[key]
|
|
inp = newdict
|
|
# process result as any native dict
|
|
return {k:flatten_dict_lists(v) for k,v in inp.items()}
|
|
else:
|
|
return [flatten_dict_lists(x) for x in inp]
|
|
elif isinstance(inp, dict):
|
|
return {k:flatten_dict_lists(v) for k,v in inp.items()}
|
|
else:
|
|
return inp
|