Big Refactor and More Cleanup

README.md

@@ -34,7 +34,6 @@ struct MyStruct {
 ```
 
 ```python
-@struct_dataclass
 class MyStruct(StructDataclass):
     myNum: int16_t
     myLetter: char_t
@@ -61,7 +60,6 @@ struct MyStruct {
 };
 ```
 ```python
-@struct_dataclass
 class MyStruct(StructDataclass):
     myInts: Annotated[list[uint8_t], TypeMeta(size=4)]
     myBiggerInts: Annotated[list[uint16_t], TypeMeta(size=2)]
@@ -87,7 +85,6 @@ struct MyStruct {
 ```
 
 ```python
-@struct_dataclass
 class MyStruct(StructDataclass):
     myInt: uint8_t = 5
     myInts: Annnotated[list[uint8_t], TypeMeta(size=2, default=1)]
@@ -117,7 +114,6 @@ struct MyStruct {
 };
 ```
 ```python
-@struct_dataclass
 class MyStruct(StructDataclass):
     myStr: Annotated[string_t, TypeMeta[str](chunk_size=3)]
     myStrList: Annotated[list[string_t], TypeMeta[str](size=2, chunk_size=3)]
@@ -147,8 +143,9 @@ enum ConfigFlags {
 ```
 
 ```python
-@bits(uint8_t, {"lights_flag": 0, "platform_flag": 1})
-class FlagsType(BitsType): ...
+class FlagsType(BitsType):
+    __bits_type__ = uint8_t
+    __bits_definition__ = {"lights_flag": 0, "platform_flag": 1}
 
 f = FlagsType()
 f.decode([3])
@@ -178,7 +175,6 @@ struct MyStruct {
 ```
 
 ```python
-@struct_dataclass
 class EnabledSensors(StructDataclass):
     # We can define the actual data we are ingesting here
     # This mirrors the `uint8_t enabledSensors[5]` data
@@ -264,15 +260,13 @@ struct LEDS {
 ```
 
 ```python
-@struct_dataclass
 class RGB(StructDataclass):
     r: uint8_t
     g: uint8_t
     b: uint8_t
 
-@struct_dataclass
 class LEDS(StructDataclass):
-    lights: Annotated[list[RGB], TypeMeta(size=3])]
+    lights: Annotated[list[RGB], TypeMeta(size=3)]
 
 l = LEDS()
 l.decode([1, 2, 3, 4, 5, 6, 7, 8, 9])
@@ -288,4 +282,4 @@ l.decode([1, 2, 3, 4, 5, 6, 7, 8, 9])
 
 # Examples
 
-You can see a more fully fledged example in the `test/examples.py` file. 
+You can see a more fully fledged example in the `test/examples.py` file.

src/pystructtype/__init__.py

@@ -1,5 +1,5 @@
-from pystructtype.bitstype import BitsType, bits
-from pystructtype.structdataclass import StructDataclass, struct_dataclass
+from pystructtype.bitstype import BitsType
+from pystructtype.structdataclass import StructDataclass
 from pystructtype.structtypes import (
     TypeInfo,
     TypeMeta,
@@ -22,7 +22,6 @@
     "StructDataclass",
     "TypeInfo",
     "TypeMeta",
-    "bits",
     "char_t",
     "double_t",
     "float_t",
@@ -31,7 +30,6 @@
     "int32_t",
     "int64_t",
     "string_t",
-    "struct_dataclass",
     "uint8_t",
     "uint16_t",
     "uint32_t",

src/pystructtype/bitstype.py

@@ -1,138 +1,86 @@
 import itertools
-from collections.abc import Callable
+from collections.abc import Mapping
 from dataclasses import field
-from typing import Annotated, Any
+from types import MappingProxyType
+from typing import Annotated, ClassVar
 
-from pystructtype.structdataclass import StructDataclass, struct_dataclass
+from pystructtype.structdataclass import StructDataclass
 from pystructtype.structtypes import TypeMeta
 from pystructtype.utils import int_to_bool_list
 
 
 class BitsType(StructDataclass):
     """
-    Class to auto-magically decode/encode struct data into separate variables
-    for separate bits based on the given definition
+    Base class for bitfield structs. Subclasses must define __bits_type__ and __bits_definition__.
     """
 
-    _raw: Any
+    __bits_type__: ClassVar[type]
+    __bits_definition__: ClassVar[dict[str, int | list[int]] | Mapping[str, int | list[int]]]
+
+    _raw: int
     _meta: dict[str, int | list[int]]
-    _meta_tuple: tuple[tuple[str, ...], tuple[int | list[int], ...]]
+
+    def __init_subclass__(cls, **kwargs):
+        super().__init_subclass__(**kwargs)
+        # Check for required attributes
+        if not hasattr(cls, "__bits_type__") or not hasattr(cls, "__bits_definition__"):
+            raise TypeError(
+                "Subclasses of BitsType must define __bits_type__ and __bits_definition__ class attributes."
+            )
+        bits_type = cls.__bits_type__
+        definition = cls.__bits_definition__
+
+        # Automatically wrap in MappingProxyType if it's a dict and not already immutable
+        if isinstance(definition, dict) and not isinstance(definition, MappingProxyType):
+            definition = MappingProxyType(definition)
+            cls.__bits_definition__ = definition
+
+        # # Remove __bits_type__ and __bits_definition__ from __annotations__ if present
+        # cls.__annotations__.pop("__bits_type__", None)
+        # cls.__annotations__.pop("__bits_definition__", None)
+
+        # Set the correct type for the raw data
+        cls._raw = 0
+        cls.__annotations__["_raw"] = bits_type
+
+        cls._meta = field(default_factory=dict)
+
+        # Create the defined attributes, defaults, and annotations in the class
+        for key, value in definition.items():
+            if isinstance(value, list):
+                setattr(
+                    cls,
+                    key,
+                    field(default_factory=lambda v=len(value): [False for _ in range(v)]),  # type: ignore
+                )
+                cls.__annotations__[key] = Annotated[list[bool], TypeMeta(size=len(value))]
+            else:
+                setattr(cls, key, False)
+                cls.__annotations__[key] = bool
 
     def __post_init__(self) -> None:
         super().__post_init__()
-
-        # Convert the _meta_tuple data into a dictionary and put it into _meta
-        self._meta = dict(zip(*self._meta_tuple, strict=False))
+        self._meta = dict(self.__bits_definition__)
 
     def _decode(self, data: list[int]) -> None:
-        """
-        Internal decoding function
-
-        :param data: A list of ints to decode
-        """
-        # First call the super function to put the values in to _raw
         super()._decode(data)
-
-        # Combine all data in _raw as binary and convert to bools
         bin_data = int_to_bool_list(self._raw, self._byte_length)
-
-        # Apply bits to the defined structure
         for k, v in self._meta.items():
             if isinstance(v, list):
-                steps = []
-                for idx in v:
-                    steps.append(bin_data[idx])
+                steps = [bin_data[idx] for idx in v]
                 setattr(self, k, steps)
             else:
                 setattr(self, k, bin_data[v])
 
     def _encode(self) -> list[int]:
-        """
-        Internal encoding function
-
-        :returns: A list of encoded ints
-        """
-        # Fill a correctly sized variable with all False/0 bits
         bin_data = list(itertools.repeat(False, self._byte_length * 8))
-
-        # Assign the correct values from the defined attributes into bin_data
         for k, v in self._meta.items():
             if isinstance(v, list):
                 steps = getattr(self, k)
                 for idx, bit_idx in enumerate(v):
                     bin_data[bit_idx] = steps[idx]
             else:
                 bin_data[v] = getattr(self, k)
-
-        # Convert bin_data back into their correct integer locations
         self._raw = sum(int(v) << i for i, v in enumerate(bin_data))
-
-        # Run the super function to return the data in self._raw()
+        # Return _raw as a list of bytes (little-endian)
         return super()._encode()
-
-
-def bits(_type: Any, definition: dict[str, int | list[int]]) -> Callable[[type[BitsType]], type[StructDataclass]]:
-    """
-    Decorator that does a bunch of metaprogramming magic to properly set up the
-    defined Subclass of StructDataclass for Bits handling
-
-    The definition must be a dict of ints or a list of ints. The int values denote the position of the bits.
-
-    Example:
-    @bits(uint8_t, {"a": 0, "b": [1, 2, 4], "c": 3})
-    class MyBits(BitsType): ...
-
-    For an uint8_t defined as 0b01010101, the resulting class will be:
-    MyBits(a=1, b=[0, 1, 1], c=0)
-
-    :param _type: The type of data that the bits are stored in (ex. uint8_t, etc.)
-    :param definition: The bits definition that defines attributes and bit locations
-    :return: A Callable that performs the metaprogramming magic and returns the modified StructDataclass
-    """
-
-    def inner(_cls: type[BitsType]) -> type[StructDataclass]:
-        """
-        The inner function to modify a StructDataclass into a BitsType class
-
-        :param _cls: A Subclass of BitsType
-        :return: Modified StructDataclass
-        """
-        # Create class attributes based on the definition
-        # TODO: Maybe a sanity check to make sure the definition is the right format, and no overlapping bits, etc
-
-        new_cls = _cls
-
-        # Set the correct type for the raw data
-        new_cls.__annotations__["_raw"] = _type
-
-        # Override the annotations for the _meta attribute, and set a default
-        # TODO: This probably isn't really needed unless we end up changing the int value to bool or something
-        new_cls._meta = field(default_factory=dict)
-        new_cls.__annotations__["_meta"] = dict[str, int]
-
-        # Convert the definition to a named tuple, so it's Immutable
-        meta_tuple = (tuple(definition.keys()), tuple(definition.values()))
-        new_cls._meta_tuple = field(default_factory=lambda d=meta_tuple: d)  # type: ignore
-        new_cls.__annotations__["_meta_tuple"] = tuple
-
-        # TODO: Support int, or list of ints as defaults
-        # TODO: Support dict, and dict of lists, or list of dicts, etc for definition
-        # TODO: ex. definition = {"a": {"b": 0, "c": [1, 2, 3]}, "d": [4, 5, 6], "e": {"f": 7}}
-        # TODO: Can't decide if the line above this is a good idea or not
-        # Create the defined attributes, defaults, and annotations in the class
-        for key, value in definition.items():
-            if isinstance(value, list):
-                # Use Annotated with TypeMeta(size=len=value) for list fields
-                setattr(
-                    new_cls,
-                    key,
-                    field(default_factory=lambda v=len(value): [False for _ in range(v)]),  # type: ignore
-                )
-                new_cls.__annotations__[key] = Annotated[list[bool], TypeMeta(size=len(value))]
-            else:
-                setattr(new_cls, key, False)
-                new_cls.__annotations__[key] = bool
-
-        return struct_dataclass(new_cls)
-
-    return inner