Add basic inflator cython support

.gitignore

@@ -1,6 +1,7 @@
 # ---> Python
 # Byte-compiled / optimized / DLL files
 __pycache__/
+**/__pycache__
 *.py[cod]
 *$py.class
 

README.md

@@ -1,2 +1,111 @@
 # megasniff
 
+### Автоматическая валидация данных по схеме и сборка объекта в одном флаконе
+
+#### Как применять:
+
+```python
+# 1. Объявляем схемы
+from __future__ import annotations
+import dataclasses
+import typing
+
+
+@dataclasses.dataclass
+class SomeSchema1:
+    a: int
+    b: float | str
+    c: SomeSchema2 | str | None
+
+
+class SomeSchema2(typing.TypedDict):
+    field1: dict
+    field2: float
+    field3: typing.Optional[SomeSchema1]
+
+
+# 2. Генерируем метод для валидации и сборки
+import megasniff
+
+infl = megasniff.SchemaInflatorGenerator()
+fn = infl.schema_to_inflator(SomeSchema1)
+
+# 3. Проверяем что всё работает
+
+fn({'a': 1, 'b': 2, 'c': {'field1': {}, 'field2': '1.1', 'field3': None}})
+# SomeSchema1(a=1, b=2.0, c={'field1': {}, 'field2': 1.1, 'field3': None})
+
+```
+
+Особенности работы:
+
+- поддерживает циклические зависимости
+- проверяет `Union`-типы через ретрай на выбросе исключения
+- по умолчанию использует готовый щаблон для кодогенерации и исполняет его по запросу, требуется особое внимание к
+  сохранности данного шаблона
+- проверяет типы списков, может приводить списки к множествам
+- не проверяет типы generic-словарей, кортежей (реализация ожидается)
+- пользовательские проверки типов должны быть реализованы через наследование и проверки в конструкторе
+- опциональный `strict-mode`: выключение приведения базовых типов
+- может генерировать кортежи верхнеуровневых объектов при наличии описания схемы (полезно при развертывании аргументов)
+
+----
+
+### Как установить:
+
+#### [uv](https://docs.astral.sh/uv/concepts/projects/dependencies/#dependency-sources):
+
+```bash
+uv add megasniff --index sniff_index=https://git.nikto-b.ru/api/packages/nikto_b/pypi/simple
+```
+
+#### [poetry](https://python-poetry.org/docs/repositories/#private-repository-example):
+
+1. Добавить репозиторий в `pyproject.toml`
+
+```bash
+poetry source add --priority=supplemental sniff_index https://git.nikto-b.ru/api/packages/nikto_b/pypi/simple
+```
+
+2. Поставить пакет
+
+```bash
+poetry add --source sniff_index megasniff
+```
+
+----
+
+### Strict-mode:
+
+#### Strict-mode off:
+
+```
+@dataclass
+class A:
+    a: list[int]
+```
+
+```
+>>> {"a": [1, 1.1, "321"]}
+<<< A(a=[1, 1, 321])
+```
+
+#### Strict-mode on:
+
+```
+@dataclass
+class A:
+    a: list[int]
+```
+
+```
+>>> {"a": [1, 1.1, "321"]}
+<<< FieldValidationException, т.к. 1.1 не является int
+```
+
+### Tuple unwrap
+```
+fn = infl.schema_to_inflator(
+        (('a', int), TupleSchemaItem(Optional[list[int]], key_name='b', has_default=True, default=None)))
+```
+Создаёт `fn: (dict[str,Any]) -> tuple[int, Optional[list[int]]]: ...` (сигнатура остаётся `(dict[str,Any])->tuple`)

pyproject.toml

@@ -1,15 +1,17 @@
 [project]
 name = "megasniff"
-version = "0.1.0"
+version = "0.2.3.post2"
 description = "Library for in-time codegened type validation"
 authors = [
     { name = "nikto_b", email = "niktob560@yandex.ru" }
 ]
-license = { file = "LICENSE" }
+license = "LGPL-3.0-or-later"
 requires-python = ">=3.13"
 dependencies = [
+    "cython>=3.1.3",
     "hatchling>=1.27.0",
     "jinja2>=3.1.6",
+    "setuptools>=80.9.0",
 ]
 
 [build-system]
@@ -18,3 +20,9 @@ build-backend = "hatchling.build"
 
 [tool.hatch.build.targets.wheel]
 packages = ["src/megasniff"]
+
+[dependency-groups]
+dev = [
+    "pytest>=8.4.1",
+    "pytest-cov>=6.2.1",
+]

src/megasniff/__init__.py

@@ -1,97 +1 @@
-# Copyright (C) 2025 Shevchenko A
-# SPDX-License-Identifier: LGPL-3.0-or-later
-
-import importlib.resources
-from collections.abc import Callable
-from dataclasses import dataclass
-from types import NoneType, UnionType
-from typing import Optional, get_origin, get_args, Union, Annotated
-
-import jinja2
-
-from .utils import *
-
-
-@dataclass
-class RenderData:
-    argname: str
-    constrs: list[tuple[str, bool]]  # typecall / use lookup table
-    typename: str
-    is_union: bool
-    is_optional: bool
-    default_option: Optional[str]
-
-
-class SchemaInflatorGenerator:
-    templateLoader: jinja2.BaseLoader
-    templateEnv: jinja2.Environment
-    template: jinja2.Template
-
-    def __init__(self,
-                 loader: Optional[jinja2.BaseLoader] = None,
-                 convertor_template: str = 'inflator.jinja2'):
-        if loader is None:
-            template_path = importlib.resources.files('src.megasniff.templates')
-            loader = jinja2.FileSystemLoader(str(template_path))
-        self.templateLoader = loader
-        self.templateEnv = jinja2.Environment(loader=self.templateLoader)
-        self.template = self.templateEnv.get_template(convertor_template)
-
-    def schema_to_generator(self,
-                            schema: type,
-                            *,
-                            _base_lookup_table: Optional[dict[str, Any]] = None) -> Callable[[dict[str, Any]], Any]:
-        # Я это написал, оно пока работает, и я не собираюсь это упрощать, сорян
-        type_hints = get_kwargs_type_hints(schema)
-        render_data = []
-        lookup_table = _base_lookup_table or {}
-
-        if schema.__name__ not in lookup_table.keys():
-            lookup_table[schema.__name__] = None
-
-        for argname, argtype in type_hints.items():
-            if argname in {'return', 'self'}:
-                continue
-
-            has_default, default_option = get_field_default(schema, argname)
-            argtypes = argtype,
-            type_origin = get_origin(argtype)
-
-            if any(map(lambda x: type_origin is x, [Union, UnionType, Optional, Annotated])):
-                argtypes = get_args(argtype)
-
-            if NoneType in argtypes or None in argtypes:
-                argtypes = tuple(filter(lambda x: x is not None and x is not NoneType, argtypes))
-                has_default = True
-
-            out_argtypes: list[tuple[str, bool]] = []
-
-            for argt in argtypes:
-                is_builtin = is_builtin_type(argt)
-                if not is_builtin and argt is not schema:
-                    if argt.__name__ not in lookup_table.keys():
-                        # если случилась циклическая зависимость, мы не хотим бексконечную рекурсию
-                        lookup_table[argt.__name__] = self.schema_to_generator(argt, _base_lookup_table=lookup_table)
-                if argt is schema:
-                    out_argtypes.append(('inflate', True))
-                else:
-                    out_argtypes.append((argt.__name__, is_builtin))
-
-            render_data.append(
-                RenderData(argname, out_argtypes, repr(argtype), len(argtypes) > 1, has_default, default_option))
-
-        convertor_functext = self.template.render(conversions=render_data)
-        convertor_functext = '\n'.join(list(filter(lambda x: len(x.strip()), convertor_functext.split('\n'))))
-        convertor_functext = convertor_functext.replace(', )', ')')
-        namespace = {
-            '_tgt_type': schema,
-            '_lookup_table': lookup_table
-        }
-        exec(convertor_functext, namespace)
-
-        # пихаем сгенеренный метод в табличку,
-        # ожидаем что она обновится во всех вложенных методах,
-        # разрешая циклические зависимости
-        lookup_table[schema.__name__] = namespace['inflate']
-
-        return namespace['inflate']
+from .inflator import SchemaInflatorGenerator

src/megasniff/__main__.py

@@ -4,29 +4,78 @@ from dataclasses import dataclass
 from typing import Optional
 from typing import TypedDict
 
+import megasniff.exceptions
+from megasniff.python_to_cython import python_obj_to_cython
 from . import SchemaInflatorGenerator
 
 
 @dataclass
 class ASchema:
-    a: int
+    a: int | None
     b: float | str
     bs: Optional[BSchema]
+    d: int
     c: float = 1.1
 
+    def __init__(self, a: int | None, b: float | str, bs: Optional[BSchema], c: float = 1.1):
+        self.a = a
+        self.b = b
+        self.bs = bs
+        self.c = c
+        self.d = a or 0
 
-class BSchema(TypedDict):
+@dataclass
+class BSchema:
     a: int
     b: str
     c: float
     d: ASchema
 
 
+@dataclass
+class CSchema:
+    l: set[int | ASchema]
+
+@dataclass
+class SomeData:
+    a: int
+    b: float
+    c: str
+
 def main():
-    infl = SchemaInflatorGenerator()
-    fn = infl.schema_to_generator(ASchema)
-    d = {'a': '42', 'b': 'a0.3', 'bs': {'a': 1, 'b': 'a', 'c': 1, 'd': {'a': 1, 'b': ''}}}
-    print(fn(d))
+    # ccode = python_obj_to_cython(ASchema)
+    # print(ccode)
+    # exit(0)
+
+    # infl = SchemaInflatorGenerator(strict_mode=True)
+    # fn = infl.schema_to_inflator(SomeData)
+    # print(fn({'a': 1, 'b': 1.1, 'c': 'asdf'}))
+    infl = SchemaInflatorGenerator(strict_mode=True)
+    fn = infl.schema_to_inflator(ASchema)
+    # exit(0)
+    # print(t)
+    # print(n)
+    # exec(t, n)
+    # fn = n['inflate']
+    # fn = infl.schema_to_generator(ASchema)
+    # # d = {'a': '42', 'b': 'a0.3', 'bs': {'a': 1, 'b': 'a', 'c': 1, 'd': {'a': 1, 'b': ''}}}
+    # d = {'a': 1, 'b': 1, 'c': 0, 'bs': {'a': 1, 'b': 2, 'c': 3, 'd': {'a': 1, 'b': 2.1, 'bs': None}}}
+    # d = {'a': 2, 'b': 2, 'bs': {'a': 2, 'b': 'a', 'c': 0, 'd': {'a': 2, 'b': 2}}}
+    # d = {'l': ['1', {'a': 42, 'b': 1}]}
+    # d = {'a': None, 'b': '2', 'bs': None}
+    d = {'a': None, 'b': '2', 'bs': {'a': 1, 'b': 'a', 'c': 1.1, 'd': {'a': 1, 'b': '', 'bs': None}}}
+    try:
+        o = fn(d)
+        print(o)
+        for k, v in o.__dict__.items():
+            print(f'field {k}: {v}')
+            print(f'type: {type(v)}')
+            if isinstance(v, list):
+                for vi in v:
+                    print(f'\ttype: {type(vi)}')
+    except megasniff.exceptions.FieldValidationException as e:
+        print(e.exceptions)
+        print(e)
 
 
 if __name__ == '__main__':

src/megasniff/exceptions.py

@@ -0,0 +1,22 @@
+from typing import Any, Optional
+
+
+class MissingFieldException(Exception):
+    def __init__(self, required_field: str, required_types: str):
+        message = f"No required field provided: {required_field} with type {required_types}"
+        super().__init__(message)
+        self.required_field = required_field
+        self.required_types = required_types
+
+
+class FieldValidationException(Exception):
+    def __init__(self,
+                 required_field: str,
+                 required_types: str,
+                 provided: Any,
+                 exceptions: Optional[list[Exception]] = None):
+        message = f"Required field {required_field} with type {required_types}, provided: {provided}"
+        super().__init__(message)
+        self.required_field = required_field
+        self.required_types = required_types
+        self.exceptions = exceptions or []

src/megasniff/inflator.py

@@ -0,0 +1,512 @@
+# Copyright (C) 2025 Shevchenko A
+# SPDX-License-Identifier: LGPL-3.0-or-later
+from __future__ import annotations
+import collections.abc
+import hashlib
+import importlib.resources
+import importlib.util
+import os
+import subprocess
+import sys
+import tempfile
+from collections import defaultdict
+from collections.abc import Callable
+from dataclasses import dataclass
+from pathlib import Path
+from types import NoneType, UnionType, ModuleType
+from typing import Optional, get_origin, get_args, Union, Annotated, Literal, Sequence, List, Set, TypeAliasType, \
+    OrderedDict
+
+import jinja2
+
+from . import utils
+from .utils import *
+import random, string
+
+
+@dataclass
+class TypeRenderData:
+    typeref: list[TypeRenderData] | TypeRenderData | str
+    allow_none: bool
+    is_list: bool
+    is_union: bool
+    is_strict: bool
+    ctype: str
+
+
+@dataclass
+class IterableTypeRenderData(TypeRenderData):
+    iterable_type: str
+    is_list = True
+    is_union = False
+
+
+def _escape_python_name(name: str) -> str:
+    name = name.replace('-', '__dash__').replace('+', '__plus__').replace('/', '__shash__')
+    if name[0].isnumeric():
+        name = '__num__' + name
+    return name
+
+
+@dataclass
+class FieldRenderData:
+    argname: str
+    argname_escaped: str
+    constrs: TypeRenderData
+    typename: str
+    is_optional: bool
+    allow_none: bool
+    default_option: Optional[str]
+    ctype: str
+
+    def __init__(self,
+                 argname: str,
+                 constrs: TypeRenderData,
+                 typename: str,
+                 is_optional: bool,
+                 allow_none: bool,
+                 default_option: Optional[str],
+                 ctype: str):
+        self.argname = argname
+        self.constrs = constrs
+        self.typename = typename
+        self.is_optional = is_optional
+        self.allow_none = allow_none
+        self.default_option = default_option
+        self.argname_escaped = _escape_python_name(argname)
+        self.ctype = ctype
+
+
+def randomword(length):
+    letters = string.ascii_lowercase
+    return ''.join(random.choice(letters) for i in range(length))
+
+
+def exec_cython(txt: str, namespace: dict, name: str):
+    """
+    Drop-in замена exec(txt, namespace), но через cython.
+    Возвращает callable объект из namespace['inflator'].
+    """
+    # генерируем уникальное имя для модуля
+    h = hashlib.sha256(txt.encode() + str(sorted(namespace.keys())).encode()).hexdigest()[:16]
+    modname = f"_cyexec_{h}"
+
+    build_dir = tempfile.mkdtemp(prefix="cyexec_")
+    pyx_file = os.path.join(build_dir, f"{modname}.pyx")
+
+    # соберём код для .pyx
+    # сначала экспортируем namespace
+    export_lines = []
+    for k, v in namespace.items():
+        if k not in {'int', 'float', 'str'}:
+            export_lines.append(f"{k} = __ns__['{k}']")
+
+    pyx_code = f"""
+# cython: language_level=3
+# cython: boundscheck=False, wraparound=False, nonecheck=False
+# AUTO-GENERATED
+
+# Вставляем runtime namespace
+import builtins
+__ns__ = builtins.__dict__['_cyexec_ns']
+
+cdef class NullableInt:
+    cdef long value
+    cdef bint has
+
+    cpdef set(self, long value):
+        self.value = value
+        self.has = 1
+
+    cpdef unset(self):
+        self.has = 0
+
+cdef class NullableDouble:
+    cdef double value
+    cdef bint has
+
+    cpdef set(self, double value):
+        self.value = value
+        self.has = 1
+
+    cpdef unset(self):
+        self.has = 0
+{os.linesep.join(export_lines)}
+
+
+
+
+# пользовательский код
+{txt}
+"""
+
+    # пишем файл
+    with open(pyx_file, "w") as f:
+        f.write(pyx_code)
+
+    # нужно сохранить namespace в builtins, чтобы cython его видел
+    import builtins
+    builtins._cyexec_ns = namespace
+
+    # компилируем через cythonize
+    setup_code = f"""
+from setuptools import setup
+from Cython.Build import cythonize
+setup(
+    name="{modname}",
+    ext_modules=cythonize("{pyx_file}", compiler_directives={{"language_level": "3"}}),
+    script_args=["build_ext", "--inplace"],
+)
+"""
+    setup_file = os.path.join(build_dir, "setup.py")
+    with open(setup_file, "w") as f:
+        f.write(setup_code)
+
+    subprocess.check_call([sys.executable, setup_file, "build_ext", "--inplace"], cwd=build_dir)
+
+    # находим .so файл
+    for fn in os.listdir(build_dir):
+        if fn.startswith(modname) and fn.endswith((".so", ".pyd")):
+            so_path = os.path.join(build_dir, fn)
+            break
+    else:
+        raise RuntimeError("Cython build failed, no .so produced")
+
+    # импортим как модуль
+    spec = importlib.util.spec_from_file_location(modname, so_path)
+    mod = importlib.util.module_from_spec(spec)
+    sys.modules[modname] = mod
+    spec.loader.exec_module(mod)
+
+    # чистим временный namespace в builtins
+    del builtins._cyexec_ns
+
+    return getattr(mod, name)
+
+
+@dataclass
+class BasicTypeVariationTest:
+    index: int
+    basic_type: str
+
+
+@dataclass
+class ObjectTypeVariationTest:
+    index: int
+    fields_contains: list[tuple[str, TypeVariationTest | None]]
+
+
+@dataclass
+class TypeVariationTest:
+    types: list[TypeConstructionSchema]
+    basic_tests: list[BasicTypeVariationTest]
+    object_tests: list[ObjectTypeVariationTest]
+
+
+@dataclass
+class TypeConstructionSchema:
+    tp: type
+    allow_none: bool
+    kwargs: Optional[dict[str, tuple[str, list[TypeConstructionSchema] | type]]]
+
+    @property
+    def typed_key_pairs(self) -> set[str]:
+        ret = set()
+        for k, (_, v) in self.kwargs.items():
+            if isinstance(v, type):
+                ret.add(f'{k}:{v}')
+            else:
+                if not isinstance(v, list):
+                    v = [v]
+                for _v in v:
+                    ret.add(f'{k}:{_v.tp}')
+
+        return ret
+
+
+class Z1:
+    a: int
+    b: int
+
+
+class Z2:
+    c: int
+    d: int
+
+
+class Z3:
+    e: int
+    f: int
+
+
+class A:
+    a: int
+    b: Z1 | Z3
+
+
+class B:
+    a: int
+    b: Z2
+
+
+class C:
+    z1: Z1
+    z2: Z2
+
+
+_ = A | B | C
+
+
+def find_types_variations(types: list[TypeConstructionSchema]) -> TypeVariationTest:
+    basic_tests = []
+    object_tests = []
+    for i, tp in enumerate(types):
+        if tp.kwargs is None:
+            basic_tests.append(BasicTypeVariationTest(i, _type_to_ctype(tp.tp, tp.allow_none)))
+    for i, tp in enumerate(types):
+        if tp.kwargs is not None:
+            tp_keys = []
+            uniq_keys = set()
+            if i < len(types):
+                keys = set()
+                for t in types[i + 1:]:
+                    keys |= set((t.kwargs or {}).keys())
+                obj_keys = set(tp.kwargs.keys())
+                uniq_keys = (obj_keys ^ keys) & obj_keys
+
+            if len(uniq_keys) > 0:
+                k = list(uniq_keys)[0]
+                object_tests.append(ObjectTypeVariationTest(i, [(k, None)]))
+            else:
+                pass
+
+    return TypeVariationTest(types, basic_tests, object_tests)
+
+
+def _type_to_ctype(t: type, allow_none: bool) -> str:
+    if t is int:
+        return 'NullableInt' if allow_none else 'long'
+    if t is float:
+        return 'NullableFloat' if allow_none else 'double'
+    return 'object'
+
+
+class SchemaInflatorGenerator:
+    templateLoader: jinja2.BaseLoader
+    templateEnv: jinja2.Environment
+
+    object_template: jinja2.Template
+    tuple_template: jinja2.Template
+    _store_sources: bool
+    _strict_mode: bool
+
+    def __init__(self,
+                 loader: Optional[jinja2.BaseLoader] = None,
+                 strict_mode: bool = False,
+                 store_sources: bool = False,
+                 *,
+                 object_template_filename: str = 'inflator.jinja2',
+                 tuple_template_filename: str = 'inflator_tuple.jinja2',
+                 ):
+
+        self._strict_mode = strict_mode
+        self._store_sources = store_sources
+
+        if loader is None:
+            template_path = importlib.resources.files('megasniff.templates')
+            loader = jinja2.FileSystemLoader(str(template_path))
+
+        self.templateLoader = loader
+        self.templateEnv = jinja2.Environment(loader=self.templateLoader)
+        self.object_template = self.templateEnv.get_template(object_template_filename)
+        self.tuple_template = self.templateEnv.get_template(tuple_template_filename)
+
+    def schema_to_inflator(self,
+                           schema: type | Sequence[TupleSchemaItem | tuple[str, type]] | OrderedDict[str, type],
+                           strict_mode_override: Optional[bool] = None,
+                           from_type_override: Optional[type | TypeAliasType] = None
+                           ) -> Callable[[dict[str, Any]], Any]:
+        name = 'inflate'
+        if isinstance(schema, type):
+            name = f'inflate_{schema.__name__}'
+        if from_type_override is not None and '__getitem__' not in dir(from_type_override):
+            raise RuntimeError('from_type_override must provide __getitem__')
+        txt, namespace = self._schema_to_inflator(schema,
+                                                  _funcname=name,
+                                                  strict_mode_override=strict_mode_override,
+                                                  from_type_override=from_type_override,
+                                                  )
+        imports = ('from typing import Any\n'
+                   'from megasniff.exceptions import MissingFieldException, FieldValidationException\n')
+        txt = imports + '\n' + txt
+        fn = exec_cython(txt, namespace, name)
+        # fn = exec_numba(txt, namespace, func_name=name)
+        # exec(txt, namespace)
+        # fn = namespace[name]
+        if self._store_sources:
+            setattr(fn, '__megasniff_sources__', txt)
+        return fn
+
+    def _unwrap_typeref(self, t: type, strict_mode: bool) -> TypeRenderData:
+        type_origin = get_origin(t)
+        allow_none = False
+        argtypes = t,
+
+        if any(map(lambda x: type_origin is x, [Union, UnionType, Optional, Annotated, list, List, set, Set])):
+            argtypes = get_args(t)
+
+        if NoneType in argtypes or None in argtypes:
+            argtypes = tuple(filter(lambda x: x is not None and x is not NoneType, argtypes))
+            allow_none = True
+
+        is_union = len(argtypes) > 1
+
+        if is_union:
+            typerefs = list(map(lambda x: self._unwrap_typeref(x, strict_mode), argtypes))
+            return TypeRenderData(typerefs, allow_none, False, True, False, 'object')
+        elif type_origin in [list, set]:
+            rd = self._unwrap_typeref(argtypes[0], strict_mode)
+            return IterableTypeRenderData(rd, allow_none, True, False, False, type_origin.__name__,
+                                          'NullableList' if allow_none else 'list')
+        else:
+            t = argtypes[0]
+
+            is_list = (type_origin or t) in [list, set]
+            if is_list:
+                t = type_origin or t
+
+            is_builtin = is_builtin_type(t)
+            return TypeRenderData(t.__name__ if is_builtin else f'inflate_{t.__name__}',
+                                  allow_none,
+                                  is_list,
+                                  False,
+                                  strict_mode if is_builtin else False,
+                                  _type_to_ctype(t, allow_none))
+
+    def _schema_to_inflator(self,
+                            schema: type | Sequence[TupleSchemaItem | tuple[str, type]] | OrderedDict[str, type],
+                            strict_mode_override: Optional[bool] = None,
+                            from_type_override: Optional[type | TypeAliasType] = None,
+                            *,
+                            _funcname='inflate',
+                            _namespace=None,
+                            ) -> tuple[str, dict]:
+        if strict_mode_override is not None:
+            strict_mode = strict_mode_override
+        else:
+            strict_mode = self._strict_mode
+
+        template = self.object_template
+        mode = 'object'
+        if isinstance(schema, dict):
+            new_schema = []
+            for argname, argtype in schema.items():
+                new_schema.append((argname, argtype))
+            schema = new_schema
+
+        if isinstance(schema, collections.abc.Iterable):
+            template = self.tuple_template
+            mode = 'tuple'
+            new_schema = []
+            for t in schema:
+                if isinstance(t, TupleSchemaItem):
+                    new_schema.append(t)
+                else:
+                    new_schema.append(TupleSchemaItem(t[1], key_name=t[0]))
+            schema = new_schema
+
+        # Я это написал, оно пока работает, и я не собираюсь это упрощать, сорян
+        if mode == 'object':
+            type_hints = get_kwargs_type_hints(schema)
+        else:
+            type_hints = {}
+            for i, t in enumerate(schema):
+                n = t.key_name or f'_arg_{i}'
+                type_hints[n] = t.schema
+
+        render_data = []
+
+        txt_segments = []
+
+        if _namespace is None:
+            namespace = {}
+        else:
+            namespace = _namespace
+
+        if namespace.get(f'{_funcname}_tgt_type') is not None:
+            return '', namespace
+
+        if mode == 'object':
+            namespace[f'{_funcname}_tgt_type'] = schema
+            namespace[utils.typename(schema)] = schema
+
+        if from_type_override is not None:
+            namespace['_from_type'] = from_type_override
+
+        for argname, argtype in type_hints.items():
+            if argname in {'return', 'self'}:
+                continue
+
+            has_default, default_option = get_field_default(schema, argname)
+
+            typeref = self._unwrap_typeref(argtype, strict_mode)
+
+            argtypes = argtype,
+            allow_none = False
+
+            while get_origin(argtype) is not None:
+                type_origin = get_origin(argtype)
+
+                if any(map(lambda x: type_origin is x, [Union, UnionType, Optional, Annotated, list, List, set, Set])):
+                    argtypes = get_args(argtype)
+                if len(argtypes) == 1:
+                    argtype = argtypes[0]
+                else:
+                    break
+
+            if NoneType in argtypes or None in argtypes:
+                argtypes = tuple(filter(lambda x: x is not None and x is not NoneType, argtypes))
+                allow_none = True
+
+            render_data.append(
+                FieldRenderData(
+                    argname,
+                    typeref,
+                    utils.typename(argtype),
+                    has_default,
+                    allow_none,
+                    default_option if not isinstance(default_option, str) else f"'{default_option}'",
+                    typeref.ctype
+                )
+            )
+
+            for argt in argtypes:
+
+                is_builtin = is_builtin_type(argt)
+                if not is_builtin and argt is not schema:
+                    # если случилась циклическая зависимость, мы не хотим бексконечную рекурсию
+                    if argt.__name__ not in namespace.keys():
+                        t, n = self._schema_to_inflator(argt,
+                                                        _funcname=f'inflate_{argt.__name__}',
+                                                        _namespace=namespace,
+                                                        strict_mode_override=strict_mode_override)
+                        namespace |= n
+                        txt_segments.append(t)
+
+                elif argt is schema:
+                    pass
+                else:
+                    namespace[argt.__name__] = argt
+
+        convertor_functext = template.render(
+            funcname=_funcname,
+            conversions=render_data,
+            tgt_type=utils.typename(schema),
+            from_type='_from_type' if from_type_override is not None else None
+        )
+
+        convertor_functext = '\n'.join(txt_segments) + '\n\n' + convertor_functext
+
+        convertor_functext = '\n'.join(list(filter(lambda x: len(x.strip()), convertor_functext.split('\n'))))
+
+        return convertor_functext, namespace

src/megasniff/templates/inflator.jinja2

@@ -1,56 +1,61 @@
 {% set ns = namespace(retry_indent=0) %}
-from typing import Any
-def inflate(from_data: dict[str, Any]):
-    from_data_keys = set(from_data.keys())
+{% import "unwrap_type_data.jinja2" as unwrap_type_data %}
+
+
+{% macro render_setter(argname, argval) -%}
+{%- set out -%}
+{% if argname.startswith('Nullable') %}
+{% if argval == 'None' %}
+{{argname}}.unset()
+{% else %}
+{{argname}}.set({{argval}})
+{%endif%}
+{% else %}
+{{argname}} = {{argval}}
+{% endif %}
+{%- endset %}
+{{out}}
+{%- endmacro %}
+
+{% macro check_null(argname) -%}
+{%- set out -%}
+{% if argname.startswith('Nullable') %}
+if {{argname}}.has:
+{% else %}
+if {{argname}} is None:
+{% endif %}
+{%- endset %}
+{{out}}
+{%- endmacro %}
+
+
+cpdef object {{funcname}}(dict from_data):
+    """
+    {{tgt_type}}
+    """
+    from_data_keys = from_data.keys()
+    cdef object conv_data
 
     {% for conv in conversions %}
-    {% if not conv.is_optional or conv.default_option is not none%}
+    cdef {{conv.argctype}} {{conv.argname_escaped}}
     if '{{conv.argname}}' not in from_data_keys:
-        {% if not conv.is_optional %}
-        raise ValueError(f"No required field provided: {{conv.argname}} with type {{conv.typename | replace('"', "'")}}")
+    {% if conv.is_optional %}
+{{ render_setter(conv.argname_escaped, conv.default_option) | indent(4*2) }}
+    {% else %}
+        raise MissingFieldException('{{conv.argname}}', "{{conv.typename | replace('"', "'")}}")
+    {% endif %}
+    else:
+        conv_data = from_data['{{conv.argname}}']
+        if conv_data is None:
+        {% if not conv.allow_none %}
+            raise FieldValidationException('{{conv.argname}}', "{{conv.typename | replace('"', "'")}}", conv_data)
+        {% else %}
+            {{ render_setter(conv.argname_escaped, 'None') | indent(4*3) }}
         {% endif %}
-        {% if conv.default_option is not none %}
-        from_data['{{conv.argname}}'] = {{conv.default_option}}
-        {% endif%}
-    {% endif %}
-    {%endfor%}
+        else:
+
+{{ unwrap_type_data.render_segment(conv.argname_escaped, conv.constrs, "conv_data", false) | indent(4*3) }}
+
 
-    {% for conv in conversions %}
-    {% if conv.is_union %}
-    {% set ns.retry_indent = 0 %}
-    {% for union_type, is_builtin in conv.constrs %}
-    {{ '    ' * ns.retry_indent }}try:
-    {% if is_builtin %}
-    {{ '    ' * ns.retry_indent }}    {{conv.argname}} = {{union_type}}(from_data['{{conv.argname}}'])
-    {% else %}
-    {{ '    ' * ns.retry_indent }}    {{conv.argname}} = _lookup_table['{{union_type}}'](from_data['{{conv.argname}}'])
-    {% endif %}
-    {{ '    ' * ns.retry_indent }}except Exception as e:
-    {% set ns.retry_indent = ns.retry_indent + 1 %}
     {% endfor %}
-    {{ '    ' * ns.retry_indent }}    raise e from e
-    {% else %}
-
-    {% if conv.constrs[0][1] %}
-    {% if conv.is_optional %}
-    if '{{conv.argname}}' not in from_data_keys:
-        {{conv.argname}} = None
-    else:
-        {{conv.argname}} = {{conv.constrs[0][0]}}(from_data['{{conv.argname}}'])
-    {% else %}
-    {{conv.argname}} = {{conv.constrs[0][0]}}(from_data['{{conv.argname}}'])
-    {% endif %}
-    {% else %}
-    {% if conv.is_optional %}
-    if '{{conv.argname}}' not in from_data_keys:
-        {{conv.argname}} = None
-    else:
-        {{conv.argname}} = _lookup_table['{{conv.constrs[0][0]}}'](from_data['{{conv.argname}}'])
-    {% else %}
-    {{conv.argname}} = _lookup_table['{{conv.constrs[0][0]}}'](from_data['{{conv.argname}}'])
-    {% endif %}
-    {% endif %}
-
-    {% endif %}
-    {% endfor %}
-    return _tgt_type({% for conv in conversions %}{{conv.argname}}={{conv.argname}}, {% endfor %})
+    return {{funcname}}_tgt_type({% for conv in conversions %}{{conv.argname_escaped}}={{conv.argname_escaped}}, {% endfor %})

src/megasniff/templates/inflator_tuple.jinja2

@@ -0,0 +1,32 @@
+{% set ns = namespace(retry_indent=0) %}
+{% import "unwrap_type_data.jinja2" as unwrap_type_data %}
+
+
+def {{funcname}}(from_data: {% if from_type is none %}dict[str, Any]{% else %}{{from_type}}{% endif %}) {% if tgt_type is not none %} -> tuple {% endif %}:
+    """
+    {% for conv in conversions %}{{conv.argname_escaped}}:{{conv.typename}}, {% endfor %}
+    """
+    from_data_keys = from_data.keys()
+
+    {% for conv in conversions %}
+    if '{{conv.argname}}' not in from_data_keys:
+    {% if conv.is_optional %}
+        {{conv.argname_escaped}} = {{conv.default_option}}
+    {% else %}
+        raise MissingFieldException('{{conv.argname}}', "{{conv.typename | replace('"', "'")}}")
+    {% endif %}
+    else:
+        conv_data = from_data['{{conv.argname}}']
+        if conv_data is None:
+        {% if not conv.allow_none %}
+            raise FieldValidationException('{{conv.argname}}', "{{conv.typename | replace('"', "'")}}", conv_data)
+        {% else %}
+            {{conv.argname_escaped}} = None
+        {% endif %}
+        else:
+
+{{ unwrap_type_data.render_segment(conv.argname_escaped, conv.constrs, "conv_data", false) | indent(4*3) }}
+
+
+    {% endfor %}
+    return ({% for conv in conversions %}{{conv.argname_escaped}}, {% endfor %})

src/megasniff/templates/unwrap_type_data.jinja2

@@ -0,0 +1,55 @@
+{% macro render_iterable(argname, typedef, conv_data) -%}
+{%- set out -%}
+{{argname}} = []
+if not isinstance({{conv_data}}, list):
+    raise FieldValidationException('{{argname}}', "list", conv_data, [])
+for item in {{conv_data}}:
+{{ render_segment("_" + argname, typedef, "item", false ) | indent(4) }}
+    {{argname}}.append(_{{argname}})
+{%- endset %}
+{{out}}
+{%- endmacro %}
+
+{% macro render_union(argname, conv, conv_data) -%}
+{%- set out -%}
+# unwrapping union {{conv}}
+{% set ns = namespace(retry_indent=0) %}
+{% set ns.retry_indent = 0 %}
+all_conv_exceptions = []
+{% for union_type in conv.typeref %}
+{{ '    ' * ns.retry_indent }}try:
+{{ render_segment(argname, union_type, conv_data, false) | indent((ns.retry_indent + 1) * 4) }}
+{{ '    ' * ns.retry_indent }}except Exception as e:
+{{ '    ' * ns.retry_indent }}    all_conv_exceptions.append(e)
+{% set ns.retry_indent = ns.retry_indent + 1 %}
+{% endfor %}
+{{ '    ' * ns.retry_indent }}raise FieldValidationException('{{conv.argname}}', "{{conv.typename | replace('"', "'")}}", conv_data, all_conv_exceptions)
+{%- endset %}
+{{out}}
+{%- endmacro %}
+
+{% macro render_segment(argname, typeref, conv_data, strict) -%}
+{%- set out -%}
+
+{% if typeref is string %}
+{% if strict %}
+if not isinstance({{conv_data}}, {{typeref}}):
+    raise FieldValidationException('{{argname}}', "{{typeref | replace('"', "'")}}", {{conv_data}}, [])
+{% endif %}
+{{argname}} = {{typeref}}({{conv_data}})
+
+{% elif typeref.is_union %}
+{{render_union(argname, typeref, conv_data)}}
+
+{% elif typeref.is_list %}
+{{render_iterable(argname, typeref.typeref, conv_data)}}
+{{argname}} = {{typeref.iterable_type}}({{argname}})
+
+{% else %}
+{{render_segment(argname, typeref.typeref, conv_data, typeref.is_strict)}}
+
+{% endif %}
+
+{%- endset %}
+{{out}}
+{%- endmacro %}

src/megasniff/utils.py

@@ -1,6 +1,15 @@
+import collections.abc
 import dataclasses
 import inspect
-from typing import get_type_hints, Any
+from typing import get_type_hints, Any, get_origin, Iterable, Optional
+
+
+@dataclasses.dataclass
+class TupleSchemaItem:
+    schema: type
+    key_name: str
+    has_default: bool = False
+    default: Any = None
 
 
 def is_typed_dict_type(tp: type) -> bool:
@@ -19,7 +28,7 @@ def get_kwargs_type_hints(obj: type) -> dict[str, Any]:
         return get_type_hints(obj.__init__)
 
 
-def get_field_default(cls: type[Any], field: str) -> tuple[bool, Any]:
+def get_field_default(cls: type[Any] | Iterable[TupleSchemaItem], field: str) -> tuple[bool, Any]:
     if dataclasses.is_dataclass(cls):
         for f in dataclasses.fields(cls):
             if f.name == field:
@@ -32,6 +41,12 @@ def get_field_default(cls: type[Any], field: str) -> tuple[bool, Any]:
         # поле не объявлено в dataclass
         return False, None
 
+    if isinstance(cls, collections.abc.Iterable):
+        for i, t in enumerate(cls):
+            if (t.key_name or f'_arg_{i}') == field:
+                return t.has_default, t.default
+        return False, None
+
     sig = inspect.signature(cls.__init__)
 
     params = list(sig.parameters.values())[1:]
@@ -50,3 +65,9 @@ def get_field_default(cls: type[Any], field: str) -> tuple[bool, Any]:
 
 def is_builtin_type(tp: type) -> bool:
     return getattr(tp, '__module__', None) == 'builtins'
+
+
+def typename(tp: type) -> str:
+    if get_origin(tp) is None and hasattr(tp, '__name__'):
+        return tp.__name__
+    return str(tp)

tests/test_basic.py

@@ -0,0 +1,62 @@
+from __future__ import annotations
+from dataclasses import dataclass
+from typing import Optional
+
+from src.megasniff import SchemaInflatorGenerator
+
+
+def test_basic_constructor():
+    class A:
+        def __init__(self, a: int):
+            self.a = a
+
+    infl = SchemaInflatorGenerator()
+    fn = infl.schema_to_inflator(A)
+    a = fn({'a': 42})
+
+    assert a.a == 42
+
+
+def test_unions():
+    @dataclass
+    class A:
+        a: int | str
+
+    infl = SchemaInflatorGenerator()
+    fn = infl.schema_to_inflator(A)
+
+    a = fn({'a': 42})
+    assert a.a == 42
+    a = fn({'a': '42'})
+    assert a.a == 42
+    a = fn({'a': '42a'})
+    assert a.a == '42a'
+
+
+@dataclass
+class CircA:
+    b: CircB
+
+
+@dataclass
+class CircB:
+    a: CircA | None
+
+
+def test_circular():
+    infl = SchemaInflatorGenerator()
+    fn = infl.schema_to_inflator(CircA)
+    a = fn({'b': {'a': None}})
+
+    assert isinstance(a.b, CircB)
+
+
+def test_optional():
+    @dataclass
+    class C:
+        a: Optional[int] = None
+
+    infl = SchemaInflatorGenerator()
+    fn = infl.schema_to_inflator(C)
+    c = fn({})
+    assert c.a is None

tests/test_exceptions.py

@@ -0,0 +1,39 @@
+from dataclasses import dataclass
+
+import pytest
+
+from megasniff import SchemaInflatorGenerator
+from megasniff.exceptions import MissingFieldException, FieldValidationException
+
+
+def test_missing_field():
+    @dataclass
+    class A:
+        a: int
+
+    infl = SchemaInflatorGenerator()
+    fn = infl.schema_to_inflator(A)
+    with pytest.raises(MissingFieldException):
+        fn({})
+
+
+def test_null():
+    @dataclass
+    class A:
+        a: int
+
+    infl = SchemaInflatorGenerator()
+    fn = infl.schema_to_inflator(A)
+    with pytest.raises(FieldValidationException):
+        fn({'a': None})
+
+
+def test_invalid_field():
+    @dataclass
+    class A:
+        a: float | int | None
+
+    infl = SchemaInflatorGenerator()
+    fn = infl.schema_to_inflator(A)
+    with pytest.raises(FieldValidationException):
+        fn({'a': {}})

tests/test_iterables.py

@@ -0,0 +1,87 @@
+from dataclasses import dataclass
+
+from megasniff import SchemaInflatorGenerator
+
+
+def test_list_basic():
+    @dataclass
+    class A:
+        l: list[int]
+
+    infl = SchemaInflatorGenerator()
+    fn = infl.schema_to_inflator(A)
+
+    a = fn({'l': []})
+    assert isinstance(a.l, list)
+    assert len(a.l) == 0
+
+    a = fn({'l': [1, 2.1, '0']})
+    print(a.l)
+    assert isinstance(a.l, list)
+    assert len(a.l) == 3
+    assert all(map(lambda x: isinstance(x, int), a.l))
+
+    @dataclass
+    class B:
+        l: list[str]
+
+    fn = infl.schema_to_inflator(B)
+
+    a = fn({'l': [1, 2.1, '0']})
+    print(a.l)
+    assert isinstance(a.l, list)
+    assert len(a.l) == 3
+    assert all(map(lambda x: isinstance(x, str), a.l))
+    assert a.l == ['1', '2.1', '0']
+
+
+def test_list_union():
+    @dataclass
+    class A:
+        l: list[int | str]
+
+    infl = SchemaInflatorGenerator()
+    fn = infl.schema_to_inflator(A)
+
+    a = fn({'l': []})
+    assert isinstance(a.l, list)
+    assert len(a.l) == 0
+
+    a = fn({'l': [1, 2.1, '0']})
+    print(a.l)
+    assert isinstance(a.l, list)
+    assert len(a.l) == 3
+    assert all(map(lambda x: isinstance(x, int), a.l))
+
+
+def test_set_basic():
+
+    @dataclass
+    class A:
+        l: set[int]
+
+    infl = SchemaInflatorGenerator()
+    fn = infl.schema_to_inflator(A)
+
+    a = fn({'l': []})
+    assert isinstance(a.l, set)
+    assert len(a.l) == 0
+
+    a = fn({'l': [1, 2.1, '0']})
+    print(a.l)
+    assert isinstance(a.l, set)
+    assert len(a.l) == 3
+    assert all(map(lambda x: isinstance(x, int), a.l))
+
+    @dataclass
+    class B:
+        l: set[str]
+
+    fn = infl.schema_to_inflator(B)
+
+    a = fn({'l': [1, 2.1, '0', 0]})
+    print(a.l)
+    assert isinstance(a.l, set)
+    assert len(a.l) == 3
+    assert all(map(lambda x: isinstance(x, str), a.l))
+    assert a.l == {'1', '2.1', '0'}

tests/test_signature.py

@@ -0,0 +1,43 @@
+from dataclasses import dataclass
+from typing import get_type_hints, Any, Annotated
+
+from megasniff import SchemaInflatorGenerator
+
+
+def test_return_signature():
+    @dataclass
+    class A:
+        a: list[int]
+
+    infl = SchemaInflatorGenerator(strict_mode=True)
+    fn = infl.schema_to_inflator(A)
+
+    hints = get_type_hints(fn)
+    assert hints['return'] == A
+    assert len(hints) == 2
+
+
+def test_argument_signature():
+    @dataclass
+    class A:
+        a: list[int]
+
+    infl = SchemaInflatorGenerator(strict_mode=True)
+
+    type custom_from_type = dict[str, Any]
+
+    fn1 = infl.schema_to_inflator(A, from_type_override=custom_from_type)
+
+    fn2 = infl.schema_to_inflator(A)
+
+    hints = get_type_hints(fn1)
+    assert hints['return'] == A
+    assert len(hints) == 2
+    assert hints['from_data'] == custom_from_type
+    assert hints['from_data'] != dict[str, Any]
+
+    hints = get_type_hints(fn2)
+    assert hints['return'] == A
+    assert len(hints) == 2
+    assert hints['from_data'] != custom_from_type
+    assert hints['from_data'] == dict[str, Any]

tests/test_strict_mode.py

@@ -0,0 +1,75 @@
+from dataclasses import dataclass
+
+import pytest
+
+from megasniff import SchemaInflatorGenerator
+from megasniff.exceptions import FieldValidationException
+
+
+def test_global_strict_mode_basic():
+    class A:
+        def __init__(self, a: int):
+            self.a = a
+
+    infl = SchemaInflatorGenerator(strict_mode=True)
+    fn = infl.schema_to_inflator(A)
+    a = fn({'a': 42})
+
+    assert a.a == 42
+
+    with pytest.raises(FieldValidationException):
+        fn({'a': 42.0})
+
+
+def test_global_strict_mode_basic_override():
+    class A:
+        def __init__(self, a: int):
+            self.a = a
+
+    infl = SchemaInflatorGenerator(strict_mode=False)
+    fn = infl.schema_to_inflator(A, strict_mode_override=True)
+    a = fn({'a': 42})
+
+    assert a.a == 42
+
+    with pytest.raises(FieldValidationException):
+        fn({'a': 42.0})
+
+
+def test_global_strict_mode_list():
+    @dataclass
+    class A:
+        a: list[int]
+
+    infl = SchemaInflatorGenerator(strict_mode=True)
+    fn = infl.schema_to_inflator(A)
+    a = fn({'a': [42]})
+
+    assert a.a == [42]
+
+    with pytest.raises(FieldValidationException):
+        fn({'a': [42.0, 42]})
+
+
+def test_global_strict_mode_circular():
+    @dataclass
+    class A:
+        a: list[int]
+
+    @dataclass
+    class B:
+        b: list[A | int]
+
+    infl = SchemaInflatorGenerator(strict_mode=True)
+    fn = infl.schema_to_inflator(B)
+    b = fn({'b': [{'a': []}, 42]})
+
+    assert len(b.b) == 2
+    assert isinstance(b.b[0], A)
+    assert isinstance(b.b[1], int)
+
+    with pytest.raises(FieldValidationException):
+        fn({'b': [42.0]})
+
+    with pytest.raises(FieldValidationException):
+        fn({'b': [{'a': [1.1]}]})

tests/test_tuple_inflate.py

@@ -0,0 +1,27 @@
+from __future__ import annotations
+from dataclasses import dataclass
+from typing import Optional
+
+from src.megasniff.utils import TupleSchemaItem
+from src.megasniff import SchemaInflatorGenerator
+
+
+def test_basic_tuple():
+    infl = SchemaInflatorGenerator()
+
+    fn = infl.schema_to_inflator({'a': int, 'b': float, 'c': str, 'd': list[int]})
+    a = fn({'a': 42, 'b': 1.1, 'c': 123, 'd': []})
+
+    assert a[0] == 42
+
+    fn = infl.schema_to_inflator((('a', int), ('b', list[int])))
+    a = fn({'a': 42, 'b': ['1']})
+
+    assert a[1][0] == 1
+
+    fn = infl.schema_to_inflator(
+        (('a', int), TupleSchemaItem(Optional[list[int]], key_name='b', has_default=True, default=None)))
+    a = fn({'a': 42})
+
+    assert a[1] is None
+    assert a[0] == 42

uv.lock

@@ -2,6 +2,75 @@ version = 1
 revision = 2
 requires-python = ">=3.13"
 
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