sprout42 /
StarStruct
| 1 | """StarStruct class.""" |
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| 2 | |||
| 3 | 1 | import collections |
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| 4 | |||
| 5 | 1 | import struct |
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| 6 | 1 | import starstruct.modes |
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| 7 | 1 | from starstruct.element import Element |
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| 8 | 1 | from starstruct.startuple import StarTuple |
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| 9 | |||
| 10 | |||
| 11 | # pylint: disable=line-too-long |
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| 12 | 1 | class Message(object): |
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| 13 | """An object much like NamedTuple, but with additional formatting.""" |
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| 14 | |||
| 15 | # pylint: disable=too-many-branches |
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| 16 | 1 | def __init__(self, name, fields, mode=starstruct.modes.Mode.Native, alignment=1): |
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| 17 | """ |
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| 18 | Initialize a StarStruct object. |
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| 19 | |||
| 20 | Creates 2 internal items, a format string which is used to call the |
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| 21 | struct module functions for packing and unpacking data, and a |
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| 22 | namedtuple instance which is used to organize the data provided to the |
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| 23 | pack functions and returned from the unpack functions. |
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| 24 | """ |
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| 25 | |||
| 26 | # The name must be a string, this is provided to the |
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| 27 | # collections.namedtuple constructor when creating the namedtuple class. |
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| 28 | 1 | if not name or not isinstance(name, str): |
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| 29 | 1 | raise TypeError('invalid name: {}'.format(name)) |
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| 30 | |||
| 31 | 1 | self._name = name |
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| 32 | 1 | self.mode = mode |
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| 33 | 1 | self.alignment = alignment |
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| 34 | |||
| 35 | # The structure definition must be a list of |
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| 36 | # ('name', 'format', <optional>) |
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| 37 | # tuples |
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| 38 | 1 | if not isinstance(fields, list) \ |
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| 39 | or not all(isinstance(x, tuple) for x in fields): |
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| 40 | raise TypeError('invalid fields: {}'.format(fields)) |
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| 41 | |||
| 42 | 1 | if not isinstance(mode, starstruct.modes.Mode): |
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| 43 | 1 | raise TypeError('invalid mode: {}'.format(mode)) |
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| 44 | |||
| 45 | # Create an ordered dictionary (so element order is preserved) out of |
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| 46 | # the individual message fields. Ensure that there are no duplicate |
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| 47 | # field names. |
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| 48 | 1 | self._elements = collections.OrderedDict() |
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| 49 | 1 | for field in fields: |
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| 50 | 1 | if field[0] not in self._elements: |
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| 51 | 1 | if isinstance(field[0], str): |
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| 52 | 1 | self._elements[field[0]] = Element.factory(field, mode, alignment) |
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| 53 | 1 | elif isinstance(field[0], bytes): |
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| 54 | 1 | self._elements[field[0].decode('utf-8')] = Element.factory(field, mode, alignment) |
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| 55 | else: |
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| 56 | raise NotImplementedError |
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| 57 | else: |
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| 58 | raise TypeError('duplicate field {} in {}'.format(field[0], fields)) |
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| 59 | |||
| 60 | # Validate all of the elements of this message |
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| 61 | 1 | for elem in self._elements.values(): |
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| 62 | 1 | elem.validate(self._elements) |
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| 63 | |||
| 64 | # Give each element information about the other elements |
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| 65 | 1 | elem._elements = self._elements |
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| 66 | |||
| 67 | # Now that the format has been validated, create a named tuple with the |
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| 68 | # correct fields. |
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| 69 | 1 | named_fields = [elem.name for elem in self._elements.values() if elem.name] |
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| 70 | 1 | self._tuple = StarTuple(self._name, named_fields, self._elements) |
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| 71 | |||
| 72 | 1 | def update(self, mode=None, alignment=None): |
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| 73 | """ Change the mode of a message. """ |
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| 74 | 1 | if mode and not isinstance(mode, starstruct.modes.Mode): |
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| 75 | raise TypeError('invalid mode: {}'.format(mode)) |
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| 76 | |||
| 77 | # Change the mode for all elements |
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| 78 | 1 | for key in self._elements.keys(): |
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| 79 | 1 | self._elements[key].update(mode, alignment) |
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| 80 | |||
| 81 | 1 | def is_unpacked(self, other): |
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| 82 | """ |
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| 83 | Provide a function that allows checking if an unpacked message tuple |
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| 84 | is an instance of what could be unpacked from a particular message |
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| 85 | object. |
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| 86 | """ |
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| 87 | # First check to see if the passed in object is a namedtuple |
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| 88 | # that matches this message type |
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| 89 | if not isinstance(other, self._tuple): |
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| 90 | return False |
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| 91 | |||
| 92 | # Then check any element values that may be another message type to |
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| 93 | # ensure that the sub-elements are valid types. |
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| 94 | for key in self._elements.keys(): |
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| 95 | if hasattr(self._elements[key].format, 'is_unpacked'): |
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| 96 | # If the format for an element is Message object (that has the |
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| 97 | # is_unpacked() function defined), call the is_unpacked() |
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| 98 | # function. |
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| 99 | msg = self._elements[key].format |
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| 100 | if not msg.is_unpacked(getattr(other, key)): |
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| 101 | return False |
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| 102 | if hasattr(self._elements[key].format, 'keys'): |
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| 103 | # If the format for an element is a dictionary, attempt to |
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| 104 | # extract the correct item with the assumption that the ref |
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| 105 | # attribute identifies the discriminator |
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| 106 | |||
| 107 | # Select the correct message object based on the value of the |
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| 108 | # referenced item |
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| 109 | ref_val = getattr(other, self._elements[key].ref) |
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| 110 | if ref_val not in self._elements[key].format.keys(): |
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| 111 | return False |
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| 112 | msg = self._elements[key].format[ref_val] |
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| 113 | if not msg.is_unpacked(getattr(other, key)): |
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| 114 | return False |
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| 115 | return True |
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| 116 | |||
| 117 | 1 | def pack(self, obj=None, **kwargs): |
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| 118 | """Pack the provided values using the initialized format.""" |
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| 119 | # Handle a positional dictionary argument as well as the more generic kwargs |
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| 120 | 1 | if obj and isinstance(obj, dict): |
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| 121 | 1 | kwargs = obj |
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| 122 | 1 | return b''.join(elem.pack(kwargs) for elem in self._elements.values()) |
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| 123 | |||
| 124 | 1 | def unpack_partial(self, buf): |
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| 125 | """ |
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| 126 | Unpack a partial message from a buffer. |
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| 127 | |||
| 128 | This doesn't re-use the "unpack_from" function name from the struct |
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| 129 | module because the parameters and return values are not consistent |
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| 130 | between this function and the struct module. |
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| 131 | """ |
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| 132 | 1 | msg = self._tuple._make([None] * len(self._tuple._fields)) |
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| 133 | 1 | for elem in self._elements.values(): |
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| 134 | 1 | (val, unused) = elem.unpack(msg, buf) |
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| 135 | 1 | buf = unused |
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| 136 | # Update the unpacked message with all non-padding elements |
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| 137 | 1 | if elem.name: |
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| 138 | 1 | msg = msg._replace(**dict([(elem.name, val)])) |
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| 139 | 1 | return (msg, buf) |
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| 140 | |||
| 141 | 1 | def unpack(self, buf): |
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| 142 | """Unpack the buffer using the initialized format.""" |
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| 143 | 1 | (msg, unused) = self.unpack_partial(buf) |
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| 144 | 1 | if unused: |
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| 145 | 1 | error = 'buffer not fully used by unpack: {}'.format(unused) |
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| 146 | 1 | raise ValueError(error) |
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| 147 | 1 | return msg |
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| 148 | |||
| 149 | 1 | def make(self, obj=None, **kwargs): |
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| 150 | """ |
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| 151 | A utility function that returns a namedtuple based on the current |
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| 152 | object's format for the supplied object. |
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| 153 | """ |
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| 154 | 1 | if obj is not None: |
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| 155 | 1 | if isinstance(obj, dict): |
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| 156 | 1 | kwargs = obj |
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| 157 | elif isinstance(obj, tuple): |
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| 158 | kwargs = obj._asdict() |
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| 159 | 1 | msg = self._tuple._make([None] * len(self._tuple._fields)) |
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| 160 | # Only attempt to "make" fields that are in the tuple |
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| 161 | 1 | for field in self._tuple._fields: |
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| 162 | 1 | val = self._elements[field].make(kwargs) |
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| 163 | 1 | msg = msg._replace(**dict([(field, val)])) |
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| 164 | |||
| 165 | # msg.__packed = self.pack(**kwargs) |
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| 166 | 1 | return msg |
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| 167 | |||
| 168 | 1 | def __len__(self): |
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| 169 | 1 | if self._elements == {}: |
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| 170 | 1 | return 0 |
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| 171 | |||
| 172 | 1 | size = 0 |
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| 173 | 1 | for val in self._elements.values(): |
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| 174 | 1 | if isinstance(val.format, (bytes, str)): |
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| 175 | 1 | size += struct.calcsize(val.format) |
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| 176 | 1 | elif isinstance(val.format, (dict, )): |
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| 177 | 1 | lengths = {len(item) for item in val.format.values()} |
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| 178 | 1 | if len(lengths) > 1: |
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| 179 | 1 | raise AttributeError('Unable to calculate size due to differing size sub items') |
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| 180 | |||
| 181 | 1 | size += sum(lengths) |
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| 182 | else: |
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| 183 | size += len(val.format) |
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| 184 | |||
| 185 | return size |
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| 186 |
Generally, there is nothing wrong with usage of
*or**arguments. For readability of the code base, we suggest to not over-use these language constructs though.For more information, we can recommend this blog post from Ned Batchelder including its comments which also touches this aspect.