基本存档读写

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

.vscode/settings.json

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+{
+    "python.analysis.typeCheckingMode": "basic"
+}

app/deserializer/deserializer.py

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+from typing import Any, TypeVar, Type, get_type_hints, get_origin, get_args
+from struct import unpack, calcsize
+from logging import getLogger
+from io import IOBase, BufferedReader
+
+from deserializer.types import *
+
+logger = getLogger(__name__)
+
+T = TypeVar('T')
+
+def deserialize(data: BufferedReader, t: 'Type[T]') -> T:
+    if _is_primitive(t):
+        return _read_primitive(data, t) # type: ignore
+    elif get_origin(t) == FixedString:
+        return _read_fixed_string(data, t) # type: ignore
+    elif get_origin(t) == FixedArray:
+        return _read_fixed_array(data, t) # type: ignore
+    else:
+        return _read_object(data, t)
+
+_s = 0
+def _read_object(data: BufferedReader, t: 'Type[T]') -> 'tuple[int, T]':
+    ins = _make_ins(t)
+
+    total_size = 0
+
+    for field_name, field_type in get_type_hints(t).items():
+        logger.debug('Deserializing: field %s with type %s', field_name, field_type)
+        if field_type == None:
+            raise ValueError(f"Field {field_name} has no type annotation")
+
+        if _is_primitive(field_type):
+            logger.debug('Detected: primitive type. Trying to deserialize.')
+            size, value = _read_primitive(data, field_type)
+            total_size += size
+            # data = data[size:]
+
+        elif get_origin(field_type) == FixedString:
+            logger.debug('Detected: FixedString type. Trying to deserialize.')
+            size, value = _read_fixed_string(data, field_type)
+            total_size += size
+            # data = data[size:]
+
+        # 对于泛型类型，FixedArray[Int8] 和 FixedArray[Int16] 和 FixedArray 
+        # 是不同的类型，不能直接 == 比较
+        elif get_origin(field_type) == FixedArray:
+            logger.debug('Detected: FixedArray type. Trying to deserialize.')
+            size, value = _read_fixed_array(data, field_type)
+            total_size += size
+            # data = data[size:]
+        else:
+            logger.debug('Detected: custom object type. Trying to deserialize.')
+            size, value = _read_object(data, field_type)
+            total_size += size
+            # data = data[size:]
+
+        print(field_name, field_type, value)
+
+        # 设置属性
+        setattr(ins, field_name, value)
+    global _s
+    _s += total_size
+    print(_s)
+    return total_size, ins
+
+def _make_ins(t: type) -> Any:
+    """
+    根据传入的类型，返回该类型的实例
+    """
+    if get_origin(t) == FixedArray:
+        return FixedArray()
+    elif get_origin(t) == FixedString:
+        return FixedString()
+
+    else:
+        return t()
+
+def _is_primitive(t: type) -> bool:
+    return any(t == pt for pt in (
+        Int8, Int16, Int32, Int64,
+        UInt8, UInt16, UInt32, UInt64,
+        byte, short, int_, long,
+        ubyte, ushort, uint, ulong,
+    ))
+
+Primitives = TypeVar('Primitives', Int8, Int16, Int32, Int64, UInt8, UInt16, UInt32, UInt64)
+def _read_primitive(data: BufferedReader, t: 'Type[Primitives]') -> 'tuple[int, Primitives]':
+    fmt = {
+        Int8: 'b',
+        Int16: 'h',
+        Int32: 'i',
+        Int64: 'q',
+        UInt8: 'B',
+        UInt16: 'H',
+        UInt32: 'I',
+        UInt64: 'Q',
+        # byte、short、int_、long 只是别名，无需重复
+    }[t]
+    size = calcsize(fmt)
+    return size, unpack(fmt, data.read(size))[0]
+
+def _read_fixed_string(data: BufferedReader, t: FixedString) -> 'tuple[int, str]':
+    str_len = get_args(get_args(t)[0])[0]
+    return str_len, data.read(str_len).decode('utf-8').rstrip('\x00')
+
+def _read_fixed_array(data: BufferedReader, t: FixedArray) -> 'tuple[int, FixedArray]':
+    ele_type, arr_len = get_args(t)
+    arr_len = get_args(arr_len)[0]
+    arr = []
+    total_size = 0
+    for _ in range(arr_len):
+        size, ele = deserialize(data, ele_type)
+        arr.append(ele)
+        total_size += size
+    return total_size, FixedArray(arr)
+
+
+def _calc_size(t: type, size: int = 0):
+    if _is_primitive(t):
+        return size + calcsize({
+            Int8: 'b',
+            Int16: 'h',
+            Int32: 'i',
+            Int64: 'q',
+            UInt8: 'B',
+            UInt16: 'H',
+            UInt32: 'I',
+            UInt64: 'Q',
+        }[t])
+    elif get_origin(t) == FixedString:
+        return size + get_args(get_args(t)[0])[0]
+    elif get_origin(t) == FixedArray:
+        ele_type, arr_len = get_args(t)
+        arr_len = get_args(arr_len)[0]
+        return _calc_size(ele_type, size) * arr_len
+    else:
+        return sum(_calc_size(v, size) for k, v in get_type_hints(t).items())
+
+def calc_size(t: type):
+    """
+    计算结构体大小
+    """
+    return _calc_size(t)