✨ Feature: 兼容 Pydantic v2 (#2544)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

.devcontainer/devcontainer.json

@@ -4,7 +4,7 @@
   "features": {
     "ghcr.io/devcontainers-contrib/features/poetry:2": {}
   },
-  "postCreateCommand": "poetry config virtualenvs.in-project true && poetry install -E all && poetry run pre-commit install && yarn install",
+  "postCreateCommand": "./scripts/setup-envs.sh",
   "customizations": {
     "vscode": {
       "settings": {

.github/actions/setup-python/action.yml

@@ -6,6 +6,14 @@ inputs:
     description: Python version
     required: false
     default: "3.10"
+  env-dir:
+    description: Environment directory
+    required: false
+    default: "."
+  no-root:
+    description: Do not install package in the environment
+    required: false
+    default: "false"
 
 runs:
   using: "composite"
@@ -19,6 +27,15 @@ runs:
         python-version: ${{ inputs.python-version }}
         architecture: "x64"
         cache: "poetry"
+        cache-dependency-path: |
+          ./poetry.lock
+          ${{ inputs.env-dir }}/poetry.lock
 
-    - run: poetry install -E all
+    - run: |
+        cd ${{ inputs.env-dir }}
+        if [ "${{ inputs.no-root }}" = "true" ]; then
+          poetry install --all-extras --no-root
+        else
+          poetry install --all-extras
+        fi
       shell: bash

.github/workflows/codecov.yml

@@ -6,6 +6,7 @@ on:
       - master
   pull_request:
     paths:
+      - "envs/**"
       - "nonebot/**"
       - "packages/**"
       - "tests/**"
@@ -19,16 +20,18 @@ jobs:
     name: Test Coverage
     runs-on: ${{ matrix.os }}
     concurrency:
-      group: test-coverage-${{ github.ref }}-${{ matrix.os }}-${{ matrix.python-version }}
+      group: test-coverage-${{ github.ref }}-${{ matrix.os }}-${{ matrix.python-version }}-${{ matrix.env }}
       cancel-in-progress: true
     strategy:
       matrix:
         python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"]
         os: [ubuntu-latest, windows-latest, macos-latest]
+        env: [pydantic-v1, pydantic-v2]
       fail-fast: false
     env:
       OS: ${{ matrix.os }}
       PYTHON_VERSION: ${{ matrix.python-version }}
+      PYDANTIC_VERSION: ${{ matrix.env }}
 
     steps:
       - uses: actions/checkout@v4
@@ -37,15 +40,17 @@ jobs:
         uses: ./.github/actions/setup-python
         with:
           python-version: ${{ matrix.python-version }}
+          env-dir: ./envs/${{ matrix.env }}
+          no-root: true
 
       - name: Run Pytest
         run: |
-          cd tests/
+          cd ./envs/${{ matrix.env }}
-          poetry run pytest -n auto --cov-report xml
+          poetry run bash "../../scripts/run-tests.sh"
 
       - name: Upload coverage report
         uses: codecov/codecov-action@v3
         with:
-          env_vars: OS,PYTHON_VERSION
+          env_vars: OS,PYTHON_VERSION,PYDANTIC_VERSION
           files: ./tests/coverage.xml
           flags: unittests

.github/workflows/pyright.yml

@@ -6,21 +6,42 @@ on:
       - master
   pull_request:
     paths:
+      - "envs/**"
       - "nonebot/**"
       - "packages/**"
       - "tests/**"
+      - ".github/actions/setup-python/**"
+      - ".github/workflows/pyright.yml"
+      - "pyproject.toml"
+      - "poetry.lock"
 
 jobs:
   pyright:
     name: Pyright Lint
     runs-on: ubuntu-latest
+    concurrency:
+      group: pyright-${{ github.ref }}-${{ matrix.env }}
+      cancel-in-progress: true
+    strategy:
+      matrix:
+        env: [pydantic-v1, pydantic-v2]
+      fail-fast: false
+
     steps:
       - uses: actions/checkout@v4
 
       - name: Setup Python environment
         uses: ./.github/actions/setup-python
+        with:
+          env-dir: ./envs/${{ matrix.env }}
+          no-root: true
 
-      - run: echo "$(poetry env info --path)/bin" >> $GITHUB_PATH
+      - run: |
+          (cd ./envs/${{ matrix.env }} && echo "$(poetry env info --path)/bin" >> $GITHUB_PATH)
+          if [ "${{ matrix.env }}" = "pydantic-v1" ]; then
+            sed -i 's/PYDANTIC_V2 = true/PYDANTIC_V2 = false/g' ./pyproject.toml
+          fi
+        shell: bash
 
       - name: Run Pyright
         uses: jakebailey/pyright-action@v2

.github/workflows/ruff.yml

@@ -6,14 +6,23 @@ on:
       - master
   pull_request:
     paths:
+      - "envs/**"
       - "nonebot/**"
       - "packages/**"
       - "tests/**"
+      - ".github/actions/setup-python/**"
+      - ".github/workflows/ruff.yml"
+      - "pyproject.toml"
+      - "poetry.lock"
 
 jobs:
   ruff:
     name: Ruff Lint
     runs-on: ubuntu-latest
+    concurrency:
+      group: pyright-${{ github.ref }}
+      cancel-in-progress: true
+
     steps:
       - uses: actions/checkout@v4
 

envs/pydantic-v1/pyproject.toml

@@ -0,0 +1,18 @@
+[tool.poetry]
+name = "nonebot-pydantic-v1"
+version = "0.1.0"
+description = "Private pydantic v1 test env for nonebot"
+authors = ["yanyongyu <yyy@nonebot.dev>"]
+license = "MIT"
+
+[tool.poetry.dependencies]
+python = "^3.8"
+
+[tool.poetry.group.dev.dependencies]
+pydantic = "^1.0.0"
+nonebot-test = { path = "../test/", develop = false }
+nonebot2 = { path = "../../", extras = ["all"], develop = true }
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"

envs/pydantic-v2/pyproject.toml

@@ -0,0 +1,18 @@
+[tool.poetry]
+name = "nonebot-pydantic-v2"
+version = "0.1.0"
+description = "Private pydantic v2 test env for nonebot"
+authors = ["yanyongyu <yyy@nonebot.dev>"]
+license = "MIT"
+
+[tool.poetry.dependencies]
+python = "^3.8"
+
+[tool.poetry.group.dev.dependencies]
+pydantic = "^2.0.0"
+nonebot-test = { path = "../test/", develop = false }
+nonebot2 = { path = "../../", extras = ["all"], develop = true }
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"

envs/test/nonebot-test.py

@@ -0,0 +1 @@
+# fake file to make project installable

envs/test/poetry.lock

@@ -0,0 +1,940 @@
+# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+
+[[package]]
+name = "asgiref"
+version = "3.7.2"
+description = "ASGI specs, helper code, and adapters"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "asgiref-3.7.2-py3-none-any.whl", hash = "sha256:89b2ef2247e3b562a16eef663bc0e2e703ec6468e2fa8a5cd61cd449786d4f6e"},
+    {file = "asgiref-3.7.2.tar.gz", hash = "sha256:9e0ce3aa93a819ba5b45120216b23878cf6e8525eb3848653452b4192b92afed"},
+]
+
+[package.dependencies]
+typing-extensions = {version = ">=4", markers = "python_version < \"3.11\""}
+
+[package.extras]
+tests = ["mypy (>=0.800)", "pytest", "pytest-asyncio"]
+
+[[package]]
+name = "async-asgi-testclient"
+version = "1.4.11"
+description = "Async client for testing ASGI web applications"
+optional = false
+python-versions = "*"
+files = [
+    {file = "async-asgi-testclient-1.4.11.tar.gz", hash = "sha256:4449ac85d512d661998ec61f91c9ae01851639611d748d81ae7f816736551792"},
+]
+
+[package.dependencies]
+multidict = ">=4.0,<7.0"
+requests = ">=2.21,<3.0"
+
+[[package]]
+name = "certifi"
+version = "2023.11.17"
+description = "Python package for providing Mozilla's CA Bundle."
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "certifi-2023.11.17-py3-none-any.whl", hash = "sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474"},
+    {file = "certifi-2023.11.17.tar.gz", hash = "sha256:9b469f3a900bf28dc19b8cfbf8019bf47f7fdd1a65a1d4ffb98fc14166beb4d1"},
+]
+
+[[package]]
+name = "charset-normalizer"
+version = "3.3.2"
+description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
+optional = false
+python-versions = ">=3.7.0"
+files = [
+    {file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
+    {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3"},
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+]
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+
+[[package]]
+name = "zipp"
+version = "3.17.0"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"},
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+]
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
+
+[metadata]
+lock-version = "2.0"
+python-versions = "^3.8"
+content-hash = "ab5729309587cb130ac7848e8862368995372cf2fc91d0966598b3c6b49028e5"

envs/test/pyproject.toml

@@ -0,0 +1,21 @@
+[tool.poetry]
+name = "nonebot-test"
+version = "0.1.0"
+description = "Private test env for nonebot"
+authors = ["yanyongyu <yyy@nonebot.dev>"]
+license = "MIT"
+packages = [{ include = "nonebot-test.py" }]
+
+[tool.poetry.dependencies]
+python = "^3.8"
+nonebug = "^0.3.0"
+wsproto = "^1.2.0"
+pytest-cov = "^4.0.0"
+pytest-xdist = "^3.0.2"
+pytest-asyncio = "^0.23.2"
+werkzeug = ">=2.3.6,<4.0.0"
+coverage-conditional-plugin = "^0.9.0"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"

nonebot/__init__.py

@@ -357,5 +357,3 @@ from nonebot.plugin import load_builtin_plugin as load_builtin_plugin
 from nonebot.plugin import load_builtin_plugins as load_builtin_plugins
 from nonebot.plugin import get_plugin_by_module_name as get_plugin_by_module_name
 from nonebot.plugin import get_available_plugin_names as get_available_plugin_names
-
-__autodoc__ = {"internal": False}

nonebot/compat.py

@@ -0,0 +1,330 @@
+"""本模块为 Pydantic 版本兼容层模块
+
+为兼容 Pydantic V1 与 V2 版本，定义了一系列兼容函数与类供使用。
+
+FrontMatter:
+    sidebar_position: 16
+    description: nonebot.compat 模块
+"""
+
+from dataclasses import dataclass, is_dataclass
+from typing_extensions import Self, Annotated, is_typeddict
+from typing import (
+    TYPE_CHECKING,
+    Any,
+    Dict,
+    List,
+    Type,
+    TypeVar,
+    Callable,
+    Optional,
+    Protocol,
+    Generator,
+)
+
+from pydantic import VERSION, BaseModel
+
+T = TypeVar("T")
+
+PYDANTIC_V2 = int(VERSION.split(".", 1)[0]) == 2
+
+if TYPE_CHECKING:
+
+    class _CustomValidationClass(Protocol):
+        @classmethod
+        def __get_validators__(cls) -> Generator[Callable[..., Any], None, None]:
+            ...
+
+    CVC = TypeVar("CVC", bound=_CustomValidationClass)
+
+
+__all__ = (
+    "Required",
+    "PydanticUndefined",
+    "PydanticUndefinedType",
+    "ConfigDict",
+    "DEFAULT_CONFIG",
+    "FieldInfo",
+    "ModelField",
+    "extract_field_info",
+    "model_field_validate",
+    "model_fields",
+    "model_config",
+    "type_validate_python",
+    "custom_validation",
+)
+
+__autodoc__ = {
+    "PydanticUndefined": "Pydantic Undefined object",
+    "PydanticUndefinedType": "Pydantic Undefined type",
+}
+
+
+if PYDANTIC_V2:  # pragma: pydantic-v2
+    from pydantic_core import CoreSchema, core_schema
+    from pydantic._internal._repr import display_as_type
+    from pydantic import TypeAdapter, GetCoreSchemaHandler
+    from pydantic.fields import FieldInfo as BaseFieldInfo
+
+    Required = Ellipsis
+    """Alias of Ellipsis for compatibility with pydantic v1"""
+
+    # Export undefined type
+    from pydantic_core import PydanticUndefined as PydanticUndefined
+    from pydantic_core import PydanticUndefinedType as PydanticUndefinedType
+
+    # isort: split
+
+    # Export model config dict
+    from pydantic import ConfigDict as ConfigDict
+
+    DEFAULT_CONFIG = ConfigDict(extra="allow", arbitrary_types_allowed=True)
+    """Default config for validations"""
+
+    class FieldInfo(BaseFieldInfo):
+        """FieldInfo class with extra property for compatibility with pydantic v1"""
+
+        # make default can be positional argument
+        def __init__(self, default: Any = PydanticUndefined, **kwargs: Any) -> None:
+            super().__init__(default=default, **kwargs)
+
+        @property
+        def extra(self) -> Dict[str, Any]:
+            """Extra data that is not part of the standard pydantic fields.
+
+            For compatibility with pydantic v1.
+            """
+            # extract extra data from attributes set except used slots
+            # we need to call super in advance due to
+            # comprehension not inlined in cpython < 3.12
+            # https://peps.python.org/pep-0709/
+            slots = super().__slots__
+            return {k: v for k, v in self._attributes_set.items() if k not in slots}
+
+    @dataclass
+    class ModelField:
+        """ModelField class for compatibility with pydantic v1"""
+
+        name: str
+        """The name of the field."""
+        annotation: Any
+        """The annotation of the field."""
+        field_info: FieldInfo
+        """The FieldInfo of the field."""
+
+        @classmethod
+        def _construct(cls, name: str, annotation: Any, field_info: FieldInfo) -> Self:
+            return cls(name, annotation, field_info)
+
+        @classmethod
+        def construct(
+            cls, name: str, annotation: Any, field_info: Optional[FieldInfo] = None
+        ) -> Self:
+            """Construct a ModelField from given infos."""
+            return cls._construct(name, annotation, field_info or FieldInfo())
+
+        def _annotation_has_config(self) -> bool:
+            """Check if the annotation has config.
+
+            TypeAdapter raise error when annotation has config
+            and given config is not None.
+            """
+            try:
+                return (
+                    issubclass(self.annotation, BaseModel)
+                    or is_dataclass(self.annotation)
+                    or is_typeddict(self.annotation)
+                )
+            except TypeError:
+                return False
+
+        def get_default(self) -> Any:
+            """Get the default value of the field."""
+            return self.field_info.get_default(call_default_factory=True)
+
+        def _type_display(self):
+            """Get the display of the type of the field."""
+            return display_as_type(self.annotation)
+
+        def __hash__(self) -> int:
+            # Each ModelField is unique for our purposes,
+            # to allow store them in a set.
+            return id(self)
+
+    def extract_field_info(field_info: BaseFieldInfo) -> Dict[str, Any]:
+        """Get FieldInfo init kwargs from a FieldInfo instance."""
+
+        kwargs = field_info._attributes_set.copy()
+        kwargs["annotation"] = field_info.rebuild_annotation()
+        return kwargs
+
+    def model_field_validate(
+        model_field: ModelField, value: Any, config: Optional[ConfigDict] = None
+    ) -> Any:
+        """Validate the value pass to the field."""
+        type: Any = Annotated[model_field.annotation, model_field.field_info]
+        return TypeAdapter(
+            type, config=None if model_field._annotation_has_config() else config
+        ).validate_python(value)
+
+    def model_fields(model: Type[BaseModel]) -> List[ModelField]:
+        """Get field list of a model."""
+
+        return [
+            ModelField._construct(
+                name=name,
+                annotation=field_info.rebuild_annotation(),
+                field_info=FieldInfo(**extract_field_info(field_info)),
+            )
+            for name, field_info in model.model_fields.items()
+        ]
+
+    def model_config(model: Type[BaseModel]) -> Any:
+        """Get config of a model."""
+        return model.model_config
+
+    def type_validate_python(type_: Type[T], data: Any) -> T:
+        """Validate data with given type."""
+        return TypeAdapter(type_).validate_python(data)
+
+    def __get_pydantic_core_schema__(
+        cls: Type["_CustomValidationClass"],
+        source_type: Any,
+        handler: GetCoreSchemaHandler,
+    ) -> CoreSchema:
+        validators = list(cls.__get_validators__())
+        if len(validators) == 1:
+            return core_schema.no_info_plain_validator_function(validators[0])
+        return core_schema.chain_schema(
+            [core_schema.no_info_plain_validator_function(func) for func in validators]
+        )
+
+    def custom_validation(class_: Type["CVC"]) -> Type["CVC"]:
+        """Use pydantic v1 like validator generator in pydantic v2"""
+
+        setattr(
+            class_,
+            "__get_pydantic_core_schema__",
+            classmethod(__get_pydantic_core_schema__),
+        )
+        return class_
+
+else:  # pragma: pydantic-v1
+    from pydantic import Extra
+    from pydantic import parse_obj_as
+    from pydantic import BaseConfig as PydanticConfig
+    from pydantic.fields import FieldInfo as BaseFieldInfo
+    from pydantic.fields import ModelField as BaseModelField
+    from pydantic.schema import get_annotation_from_field_info
+
+    # isort: split
+
+    from pydantic.fields import Required as Required
+
+    # isort: split
+
+    from pydantic.fields import Undefined as PydanticUndefined
+    from pydantic.fields import UndefinedType as PydanticUndefinedType
+
+    class ConfigDict(PydanticConfig):
+        """Config class that allow get value with default value."""
+
+        @classmethod
+        def get(cls, field: str, default: Any = None) -> Any:
+            """Get a config value."""
+            return getattr(cls, field, default)
+
+    class DEFAULT_CONFIG(ConfigDict):
+        extra = Extra.allow
+        arbitrary_types_allowed = True
+
+    class FieldInfo(BaseFieldInfo):
+        def __init__(self, default: Any = PydanticUndefined, **kwargs: Any):
+            # preprocess default value to make it compatible with pydantic v2
+            # when default is Required, set it to PydanticUndefined
+            if default is Required:
+                default = PydanticUndefined
+            super().__init__(default, **kwargs)
+
+    class ModelField(BaseModelField):
+        @classmethod
+        def _construct(cls, name: str, annotation: Any, field_info: FieldInfo) -> Self:
+            return cls(
+                name=name,
+                type_=annotation,
+                class_validators=None,
+                model_config=DEFAULT_CONFIG,
+                default=field_info.default,
+                default_factory=field_info.default_factory,
+                required=(
+                    field_info.default is PydanticUndefined
+                    and field_info.default_factory is None
+                ),
+                field_info=field_info,
+            )
+
+        @classmethod
+        def construct(
+            cls, name: str, annotation: Any, field_info: Optional[FieldInfo] = None
+        ) -> Self:
+            """Construct a ModelField from given infos.
+
+            Field annotation is preprocessed with field_info.
+            """
+            if field_info is not None:
+                annotation = get_annotation_from_field_info(
+                    annotation, field_info, name
+                )
+            return cls._construct(name, annotation, field_info or FieldInfo())
+
+    def extract_field_info(field_info: BaseFieldInfo) -> Dict[str, Any]:
+        """Get FieldInfo init kwargs from a FieldInfo instance."""
+
+        kwargs = {
+            s: getattr(field_info, s) for s in field_info.__slots__ if s != "extra"
+        }
+        kwargs.update(field_info.extra)
+        return kwargs
+
+    def model_field_validate(
+        model_field: ModelField, value: Any, config: Optional[Type[ConfigDict]] = None
+    ) -> Any:
+        """Validate the value pass to the field.
+
+        Set config before validate to ensure validate correctly.
+        """
+
+        if model_field.model_config is not config:
+            model_field.set_config(config or ConfigDict)
+
+        v, errs_ = model_field.validate(value, {}, loc=())
+        if errs_:
+            raise ValueError(value, model_field)
+        return v
+
+    def model_fields(model: Type[BaseModel]) -> List[ModelField]:
+        """Get field list of a model."""
+
+        # construct the model field without preprocess to avoid error
+        return [
+            ModelField._construct(
+                name=model_field.name,
+                annotation=model_field.annotation,
+                field_info=FieldInfo(
+                    **extract_field_info(model_field.field_info),
+                ),
+            )
+            for model_field in model.__fields__.values()
+        ]
+
+    def model_config(model: Type[BaseModel]) -> Any:
+        """Get config of a model."""
+        return model.__config__
+
+    def type_validate_python(type_: Type[T], data: Any) -> T:
+        """Validate data with given type."""
+        return parse_obj_as(type_, data)
+
+    def custom_validation(class_: Type["CVC"]) -> Type["CVC"]:
+        """Do nothing in pydantic v1"""
+        return class_

nonebot/config.py

@@ -13,10 +13,11 @@ FrontMatter:
 
 import os
 import abc
+import json
 from pathlib import Path
 from datetime import timedelta
 from ipaddress import IPv4Address
-from typing_extensions import TypeAlias, get_origin
+from typing_extensions import TypeAlias, get_args, get_origin
 from typing import (
     TYPE_CHECKING,
     Any,
@@ -27,17 +28,25 @@ from typing import (
     Tuple,
     Union,
     Mapping,
-    ClassVar,
     Optional,
 )
 
 from dotenv import dotenv_values
-from pydantic.typing import is_union
+from pydantic import Field, BaseModel
-from pydantic.utils import deep_update
+from pydantic.networks import IPvAnyAddress
-from pydantic.fields import Undefined, ModelField, UndefinedType
-from pydantic import Extra, Field, BaseModel, BaseConfig, JsonWrapper, IPvAnyAddress
 
 from nonebot.log import logger
+from nonebot.typing import origin_is_union
+from nonebot.utils import deep_update, type_is_complex, lenient_issubclass
+from nonebot.compat import (
+    PYDANTIC_V2,
+    ConfigDict,
+    ModelField,
+    PydanticUndefined,
+    PydanticUndefinedType,
+    model_config,
+    model_fields,
+)
 
 DOTENV_TYPE: TypeAlias = Union[
     Path, str, List[Union[Path, str]], Tuple[Union[Path, str], ...]
@@ -55,8 +64,8 @@ class BaseSettingsSource(abc.ABC):
         self.settings_cls = settings_cls
 
     @property
-    def config(self) -> Type["SettingsConfig"]:
+    def config(self) -> "SettingsConfig":
-        return self.settings_cls.__config__
+        return model_config(self.settings_cls)
 
     @abc.abstractmethod
     def __call__(self) -> Dict[str, Any]:
@@ -90,40 +99,34 @@ class DotEnvSettingsSource(BaseSettingsSource):
     ) -> None:
         super().__init__(settings_cls)
         self.env_file = (
-            env_file if env_file is not ENV_FILE_SENTINEL else self.config.env_file
+            env_file
+            if env_file is not ENV_FILE_SENTINEL
+            else self.config.get("env_file", (".env",))
         )
         self.env_file_encoding = (
             env_file_encoding
             if env_file_encoding is not None
-            else self.config.env_file_encoding
+            else self.config.get("env_file_encoding", "utf-8")
         )
         self.case_sensitive = (
-            case_sensitive if case_sensitive is not None else self.config.case_sensitive
+            case_sensitive
+            if case_sensitive is not None
+            else self.config.get("case_sensitive", False)
         )
         self.env_nested_delimiter = (
             env_nested_delimiter
             if env_nested_delimiter is not None
-            else self.config.env_nested_delimiter
+            else self.config.get("env_nested_delimiter", None)
         )
 
     def _apply_case_sensitive(self, var_name: str) -> str:
         return var_name if self.case_sensitive else var_name.lower()
 
     def _field_is_complex(self, field: ModelField) -> Tuple[bool, bool]:
-        try:
+        if type_is_complex(field.annotation):
-            if isinstance(field.annotation, type) and issubclass(
-                field.annotation, JsonWrapper
-            ):
-                return True, False
-        except TypeError:
-            pass
-
-        if field.is_complex():
             return True, False
-        elif (
+        elif origin_is_union(get_origin(field.annotation)) and any(
-            is_union(get_origin(field.type_))
+            type_is_complex(arg) for arg in get_args(field.annotation)
-            and field.sub_fields
-            and any(f.is_complex() for f in field.sub_fields)
         ):
             return True, True
         return False, False
@@ -157,16 +160,12 @@ class DotEnvSettingsSource(BaseSettingsSource):
     def _next_field(
         self, field: Optional[ModelField], key: str
     ) -> Optional[ModelField]:
-        if not field or is_union(get_origin(field.annotation)):
+        if not field or origin_is_union(get_origin(field.annotation)):
             return None
-        elif (
+        elif field.annotation and lenient_issubclass(field.annotation, BaseModel):
-            field.annotation
+            for field in model_fields(field.annotation):
-            and isinstance(
+                if field.name == key:
-                (fields := getattr(field.annotation, "__fields__", None)), dict
+                    return field
-            )
-            and (field := fields.get(key))
-        ):
-            return field
         return None
 
     def _explode_env_vars(
@@ -200,7 +199,7 @@ class DotEnvSettingsSource(BaseSettingsSource):
                 is_complex, allow_parse_failure = self._field_is_complex(target_field)
                 if is_complex:
                     try:
-                        env_val = self.settings_cls.__config__.json_loads(env_val)
+                        env_val = json.loads(env_val)
                     except ValueError as e:
                         if not allow_parse_failure:
                             raise SettingsError(
@@ -220,30 +219,31 @@ class DotEnvSettingsSource(BaseSettingsSource):
         env_file_vars = self._read_env_files()
         env_vars = {**env_file_vars, **env_vars}
 
-        for field in self.settings_cls.__fields__.values():
+        for field in model_fields(self.settings_cls):
-            field_key = field.name
+            field_name = field.name
-            env_name = self._apply_case_sensitive(field_key)
+            env_name = self._apply_case_sensitive(field_name)
+
             # try get values from env vars
-            env_val = env_vars.get(env_name, Undefined)
+            env_val = env_vars.get(env_name, PydanticUndefined)
             # delete from file vars when used
             if env_name in env_file_vars:
                 del env_file_vars[env_name]
 
             is_complex, allow_parse_failure = self._field_is_complex(field)
             if is_complex:
-                if isinstance(env_val, UndefinedType):
+                if isinstance(env_val, PydanticUndefinedType):
                     # field is complex but no value found so far, try explode_env_vars
                     if env_val_built := self._explode_env_vars(
                         field, env_vars, env_file_vars
                     ):
-                        d[field_key] = env_val_built
+                        d[field_name] = env_val_built
                 elif env_val is None:
-                    d[field_key] = env_val
+                    d[field_name] = env_val
                 else:
                     # field is complex and there's a value
                     # decode that as JSON, then add explode_env_vars
                     try:
-                        env_val = self.settings_cls.__config__.json_loads(env_val)
+                        env_val = json.loads(env_val)
                     except ValueError as e:
                         if not allow_parse_failure:
                             raise SettingsError(
@@ -253,16 +253,16 @@ class DotEnvSettingsSource(BaseSettingsSource):
                     if isinstance(env_val, dict):
                         # field value is a dict
                         # try explode_env_vars to find more sub-values
-                        d[field_key] = deep_update(
+                        d[field_name] = deep_update(
                             env_val,
                             self._explode_env_vars(field, env_vars, env_file_vars),
                         )
                     else:
-                        d[field_key] = env_val
+                        d[field_name] = env_val
-            elif not isinstance(env_val, UndefinedType):
+            elif env_val is not PydanticUndefined:
                 # simplest case, field is not complex
                 # we only need to add the value if it was found
-                d[field_key] = env_val
+                d[field_name] = env_val
 
         # remain user custom config
         for env_name in env_file_vars:
@@ -270,7 +270,7 @@ class DotEnvSettingsSource(BaseSettingsSource):
             if env_val and (val_striped := env_val.strip()):
                 # there's a value, decode that as JSON
                 try:
-                    env_val = self.settings_cls.__config__.json_loads(val_striped)
+                    env_val = json.loads(val_striped)
                 except ValueError:
                     logger.trace(
                         "Error while parsing JSON for "
@@ -294,23 +294,45 @@ class DotEnvSettingsSource(BaseSettingsSource):
         return d
 
 
-class SettingsConfig(BaseConfig):
+if PYDANTIC_V2:  # pragma: pydantic-v2
-    extra = Extra.allow
+
-    env_file: Optional[DOTENV_TYPE] = None
+    class SettingsConfig(ConfigDict, total=False):
-    env_file_encoding: str = "utf-8"
+        env_file: Optional[DOTENV_TYPE]
-    case_sensitive: bool = False
+        env_file_encoding: str
-    env_nested_delimiter: Optional[str] = "__"
+        case_sensitive: bool
+        env_nested_delimiter: Optional[str]
+
+else:  # pragma: pydantic-v1
+
+    class SettingsConfig(ConfigDict):
+        env_file: Optional[DOTENV_TYPE]
+        env_file_encoding: str
+        case_sensitive: bool
+        env_nested_delimiter: Optional[str]
 
 
 class BaseSettings(BaseModel):
     if TYPE_CHECKING:
-        __config__: ClassVar[Type[SettingsConfig]]
-
         # dummy getattr for pylance checking, actually not used
         def __getattr__(self, name: str) -> Any:  # pragma: no cover
             return self.__dict__.get(name)
 
-    Config = SettingsConfig
+    if PYDANTIC_V2:  # pragma: pydantic-v2
+        model_config: SettingsConfig = SettingsConfig(
+            extra="allow",
+            env_file=".env",
+            env_file_encoding="utf-8",
+            case_sensitive=False,
+            env_nested_delimiter="__",
+        )
+    else:  # pragma: pydantic-v1
+
+        class Config(SettingsConfig):
+            extra = "allow"  # type: ignore
+            env_file = ".env"
+            env_file_encoding = "utf-8"
+            case_sensitive = False
+            env_nested_delimiter = "__"
 
     def __init__(
         __settings_self__,  # pyright: ignore[reportSelfClsParameterName]
@@ -357,9 +379,6 @@ class Env(BaseSettings):
     NoneBot 将从 `.env.{environment}` 文件中加载配置。
     """
 
-    class Config:
-        env_file = ".env"
-
 
 class Config(BaseSettings):
     """NoneBot 主要配置。大小写不敏感。
@@ -370,7 +389,8 @@ class Config(BaseSettings):
     配置方法参考: [配置](https://nonebot.dev/docs/appendices/config)
     """
 
-    _env_file: Optional[DOTENV_TYPE] = ".env", ".env.prod"
+    if TYPE_CHECKING:
+        _env_file: Optional[DOTENV_TYPE] = ".env", ".env.prod"
 
     # nonebot configs
     driver: str = "~fastapi"
@@ -455,8 +475,12 @@ class Config(BaseSettings):
     # custom configs can be assigned during nonebot.init
     # or from env file using json loads
 
-    class Config:
+    if PYDANTIC_V2:  # pragma: pydantic-v2
-        env_file = ".env", ".env.prod"
+        model_config = SettingsConfig(env_file=(".env", ".env.prod"))
+    else:  # pragma: pydantic-v1
+
+        class Config(SettingsConfig):
+            env_file = ".env", ".env.prod"
 
 
 __autodoc__ = {

nonebot/dependencies/__init__.py

@@ -24,14 +24,11 @@ from typing import (
     cast,
 )
 
-from pydantic import BaseConfig
-from pydantic.schema import get_annotation_from_field_info
-from pydantic.fields import Required, FieldInfo, Undefined, ModelField
-
 from nonebot.log import logger
 from nonebot.typing import _DependentCallable
 from nonebot.exception import SkippedException
 from nonebot.utils import run_sync, is_coroutine_callable
+from nonebot.compat import FieldInfo, ModelField, PydanticUndefined
 
 from .utils import check_field_type, get_typed_signature
 
@@ -69,10 +66,6 @@ class Param(abc.ABC, FieldInfo):
         return
 
 
-class CustomConfig(BaseConfig):
-    arbitrary_types_allowed = True
-
-
 @dataclass(frozen=True)
 class Dependent(Generic[R]):
     """依赖注入容器
@@ -125,12 +118,8 @@ class Dependent(Generic[R]):
         params = get_typed_signature(call).parameters.values()
 
         for param in params:
-            default_value = Required
+            if isinstance(param.default, Param):
-            if param.default != param.empty:
+                field_info = param.default
-                default_value = param.default
-
-            if isinstance(default_value, Param):
-                field_info = default_value
             else:
                 for allow_type in allow_types:
                     if field_info := allow_type._check_param(param, allow_types):
@@ -141,25 +130,13 @@ class Dependent(Generic[R]):
                         f"for function {call} with type {param.annotation}"
                     )
 
-            default_value = field_info.default
-
             annotation: Any = Any
-            required = default_value == Required
+            if param.annotation is not param.empty:
-            if param.annotation != param.empty:
                 annotation = param.annotation
-            annotation = get_annotation_from_field_info(
-                annotation, field_info, param.name
-            )
 
             fields.append(
-                ModelField(
+                ModelField.construct(
-                    name=param.name,
+                    name=param.name, annotation=annotation, field_info=field_info
-                    type_=annotation,
-                    class_validators=None,
-                    model_config=CustomConfig,
-                    default=None if required else default_value,
-                    required=required,
-                    field_info=field_info,
                 )
             )
 
@@ -207,7 +184,7 @@ class Dependent(Generic[R]):
     async def _solve_field(self, field: ModelField, params: Dict[str, Any]) -> Any:
         param = cast(Param, field.field_info)
         value = await param._solve(**params)
-        if value is Undefined:
+        if value is PydanticUndefined:
             value = field.get_default()
         v = check_field_type(field, value)
         return v if param.validate else value

nonebot/dependencies/utils.py

@@ -8,10 +8,10 @@ import inspect
 from typing import Any, Dict, Callable, ForwardRef
 
 from loguru import logger
-from pydantic.fields import ModelField
-from pydantic.typing import evaluate_forwardref
 
 from nonebot.exception import TypeMisMatch
+from nonebot.typing import evaluate_forwardref
+from nonebot.compat import DEFAULT_CONFIG, ModelField, model_field_validate
 
 
 def get_typed_signature(call: Callable[..., Any]) -> inspect.Signature:
@@ -50,7 +50,7 @@ def get_typed_annotation(param: inspect.Parameter, globalns: Dict[str, Any]) ->
 def check_field_type(field: ModelField, value: Any) -> Any:
     """检查字段类型是否匹配"""
 
-    v, errs_ = field.validate(value, {}, loc=())
+    try:
-    if errs_:
+        return model_field_validate(field, value, DEFAULT_CONFIG)
+    except ValueError:
         raise TypeMisMatch(field, value)
-    return v

nonebot/drivers/fastapi.py

@@ -22,7 +22,7 @@ from functools import wraps
 from typing_extensions import override
 from typing import Any, Dict, List, Tuple, Union, Optional
 
-from pydantic import BaseSettings
+from pydantic import BaseModel
 
 from nonebot.config import Env
 from nonebot.drivers import ASGIMixin
@@ -59,7 +59,7 @@ def catch_closed(func):
     return decorator
 
 
-class Config(BaseSettings):
+class Config(BaseModel):
     """FastAPI 驱动框架设置，详情参考 FastAPI 文档"""
 
     fastapi_openapi_url: Optional[str] = None
@@ -83,9 +83,6 @@ class Config(BaseSettings):
     fastapi_extra: Dict[str, Any] = {}
     """传递给 `FastAPI` 的其他参数。"""
 
-    class Config:
-        extra = "ignore"
-
 
 class Driver(BaseDriver, ASGIMixin):
     """FastAPI 驱动框架。"""

nonebot/drivers/quart.py

@@ -20,7 +20,7 @@ from functools import wraps
 from typing_extensions import override
 from typing import Any, Dict, List, Tuple, Union, Optional, cast
 
-from pydantic import BaseSettings
+from pydantic import BaseModel
 
 from nonebot.config import Env
 from nonebot.drivers import ASGIMixin
@@ -58,7 +58,7 @@ def catch_closed(func):
     return decorator
 
 
-class Config(BaseSettings):
+class Config(BaseModel):
     """Quart 驱动框架设置"""
 
     quart_reload: bool = False
@@ -74,9 +74,6 @@ class Config(BaseSettings):
     quart_extra: Dict[str, Any] = {}
     """传递给 `Quart` 的其他参数。"""
 
-    class Config:
-        extra = "ignore"
-
 
 class Driver(BaseDriver, ASGIMixin):
     """Quart 驱动框架"""

nonebot/exception.py

@@ -31,7 +31,7 @@ FrontMatter:
 
 from typing import Any, Optional
 
-from pydantic.fields import ModelField
+from nonebot.compat import ModelField
 
 
 class NoneBotException(Exception):

nonebot/internal/adapter/event.py

@@ -4,6 +4,7 @@ from typing import Any, Type, TypeVar
 from pydantic import BaseModel
 
 from nonebot.utils import DataclassEncoder
+from nonebot.compat import PYDANTIC_V2, ConfigDict
 
 from .message import Message
 
@@ -13,15 +14,21 @@ E = TypeVar("E", bound="Event")
 class Event(abc.ABC, BaseModel):
     """Event 基类。提供获取关键信息的方法，其余信息可直接获取。"""
 
-    class Config:
+    if PYDANTIC_V2:  # pragma: pydantic-v2
-        extra = "allow"
+        model_config = ConfigDict(extra="allow")
-        json_encoders = {Message: DataclassEncoder}
+    else:  # pragma: pydantic-v1
 
-    @classmethod
+        class Config(ConfigDict):
-    def validate(cls: Type["E"], value: Any) -> "E":
+            extra = "allow"  # type: ignore
-        if isinstance(value, Event) and not isinstance(value, cls):
+            json_encoders = {Message: DataclassEncoder}
-            raise TypeError(f"{value} is incompatible with Event type {cls}")
+
-        return super().validate(value)
+    if not PYDANTIC_V2:  # pragma: pydantic-v1
+
+        @classmethod
+        def validate(cls: Type["E"], value: Any) -> "E":
+            if isinstance(value, Event) and not isinstance(value, cls):
+                raise TypeError(f"{value} is incompatible with Event type {cls}")
+            return super().validate(value)
 
     @abc.abstractmethod
     def get_type(self) -> str:

nonebot/internal/adapter/message.py

@@ -17,7 +17,7 @@ from typing import (
     overload,
 )
 
-from pydantic import parse_obj_as
+from nonebot.compat import custom_validation, type_validate_python
 
 from .template import MessageTemplate
 
@@ -25,6 +25,7 @@ TMS = TypeVar("TMS", bound="MessageSegment")
 TM = TypeVar("TM", bound="Message")
 
 
+@custom_validation
 @dataclass
 class MessageSegment(abc.ABC, Generic[TM]):
     """消息段基类"""
@@ -65,6 +66,8 @@ class MessageSegment(abc.ABC, Generic[TM]):
     def _validate(cls, value) -> Self:
         if isinstance(value, cls):
             return value
+        if isinstance(value, MessageSegment):
+            raise ValueError(f"Type {type(value)} can not be converted to {cls}")
         if not isinstance(value, dict):
             raise ValueError(f"Expected dict for MessageSegment, got {type(value)}")
         if "type" not in value:
@@ -97,6 +100,7 @@ class MessageSegment(abc.ABC, Generic[TM]):
         raise NotImplementedError
 
 
+@custom_validation
 class Message(List[TMS], abc.ABC):
     """消息序列
 
@@ -158,9 +162,9 @@ class Message(List[TMS], abc.ABC):
         elif isinstance(value, str):
             pass
         elif isinstance(value, dict):
-            value = parse_obj_as(cls.get_segment_class(), value)
+            value = type_validate_python(cls.get_segment_class(), value)
         elif isinstance(value, Iterable):
-            value = [parse_obj_as(cls.get_segment_class(), v) for v in value]
+            value = [type_validate_python(cls.get_segment_class(), v) for v in value]
         else:
             raise ValueError(
                 f"Expected str, dict or iterable for Message, got {type(value)}"

nonebot/internal/params.py

@@ -1,7 +1,7 @@
 import asyncio
 import inspect
-from typing_extensions import Self, Annotated, override
 from contextlib import AsyncExitStack, contextmanager, asynccontextmanager
+from typing_extensions import Self, Annotated, get_args, override, get_origin
 from typing import (
     TYPE_CHECKING,
     Any,
@@ -14,12 +14,12 @@ from typing import (
     cast,
 )
 
-from pydantic.typing import get_args, get_origin
+from pydantic.fields import FieldInfo as PydanticFieldInfo
-from pydantic.fields import Required, FieldInfo, Undefined, ModelField
 
+from nonebot.dependencies import Param, Dependent
 from nonebot.dependencies.utils import check_field_type
-from nonebot.dependencies import Param, Dependent, CustomConfig
 from nonebot.typing import T_State, T_Handler, T_DependencyCache
+from nonebot.compat import FieldInfo, ModelField, PydanticUndefined, extract_field_info
 from nonebot.utils import (
     get_name,
     run_sync,
@@ -34,23 +34,6 @@ if TYPE_CHECKING:
     from nonebot.matcher import Matcher
     from nonebot.adapters import Bot, Event
 
-EXTRA_FIELD_INFO = (
-    "gt",
-    "lt",
-    "ge",
-    "le",
-    "multiple_of",
-    "allow_inf_nan",
-    "max_digits",
-    "decimal_places",
-    "min_items",
-    "max_items",
-    "unique_items",
-    "min_length",
-    "max_length",
-    "regex",
-)
-
 
 class DependsInner:
     def __init__(
@@ -58,7 +41,7 @@ class DependsInner:
         dependency: Optional[T_Handler] = None,
         *,
         use_cache: bool = True,
-        validate: Union[bool, FieldInfo] = False,
+        validate: Union[bool, PydanticFieldInfo] = False,
     ) -> None:
         self.dependency = dependency
         self.use_cache = use_cache
@@ -75,7 +58,7 @@ def Depends(
     dependency: Optional[T_Handler] = None,
     *,
     use_cache: bool = True,
-    validate: Union[bool, FieldInfo] = False,
+    validate: Union[bool, PydanticFieldInfo] = False,
 ) -> Any:
     """子依赖装饰器
 
@@ -113,24 +96,32 @@ class DependParam(Param):
     本注入应该具有最高优先级，因此应该在其他参数之前检查。
     """
 
+    def __init__(
+        self, *args, dependent: Dependent, use_cache: bool, **kwargs: Any
+    ) -> None:
+        super().__init__(*args, **kwargs)
+        self.dependent = dependent
+        self.use_cache = use_cache
+
     def __repr__(self) -> str:
-        return f"Depends({self.extra['dependent']})"
+        return f"Depends({self.dependent}, use_cache={self.use_cache})"
 
     @classmethod
     def _from_field(
-        cls, sub_dependent: Dependent, use_cache: bool, validate: Union[bool, FieldInfo]
+        cls,
+        sub_dependent: Dependent,
+        use_cache: bool,
+        validate: Union[bool, PydanticFieldInfo],
     ) -> Self:
         kwargs = {}
-        if isinstance(validate, FieldInfo):
+        if isinstance(validate, PydanticFieldInfo):
-            kwargs.update((k, getattr(validate, k)) for k in EXTRA_FIELD_INFO)
+            kwargs.update(extract_field_info(validate))
 
-        return cls(
+        kwargs["validate"] = bool(validate)
-            Required,
+        kwargs["dependent"] = sub_dependent
-            validate=bool(validate),
+        kwargs["use_cache"] = use_cache
-            **kwargs,
+
-            dependent=sub_dependent,
+        return cls(**kwargs)
-            use_cache=use_cache,
-        )
 
     @classmethod
     @override
@@ -191,10 +182,10 @@ class DependParam(Param):
         dependency_cache: Optional[T_DependencyCache] = None,
         **kwargs: Any,
     ) -> Any:
-        use_cache: bool = self.extra["use_cache"]
+        use_cache: bool = self.use_cache
         dependency_cache = {} if dependency_cache is None else dependency_cache
 
-        sub_dependent: Dependent = self.extra["dependent"]
+        sub_dependent: Dependent = self.dependent
         call = cast(Callable[..., Any], sub_dependent.call)
 
         # solve sub dependency with current cache
@@ -231,8 +222,7 @@ class DependParam(Param):
     @override
     async def _check(self, **kwargs: Any) -> None:
         # run sub dependent pre-checkers
-        sub_dependent: Dependent = self.extra["dependent"]
+        await self.dependent.check(**kwargs)
-        await sub_dependent.check(**kwargs)
 
 
 class BotParam(Param):
@@ -243,14 +233,16 @@ class BotParam(Param):
     为保证兼容性，本注入还会解析名为 `bot` 且没有类型注解的参数。
     """
 
+    def __init__(
+        self, *args, checker: Optional[ModelField] = None, **kwargs: Any
+    ) -> None:
+        super().__init__(*args, **kwargs)
+        self.checker = checker
+
     def __repr__(self) -> str:
         return (
             "BotParam("
-            + (
+            + (repr(self.checker.annotation) if self.checker is not None else "")
-                repr(cast(ModelField, checker).type_)
-                if (checker := self.extra.get("checker"))
-                else ""
-            )
             + ")"
         )
 
@@ -265,18 +257,13 @@ class BotParam(Param):
         if generic_check_issubclass(param.annotation, Bot):
             checker: Optional[ModelField] = None
             if param.annotation is not Bot:
-                checker = ModelField(
+                checker = ModelField.construct(
-                    name=param.name,
+                    name=param.name, annotation=param.annotation, field_info=FieldInfo()
-                    type_=param.annotation,
-                    class_validators=None,
-                    model_config=CustomConfig,
-                    default=None,
-                    required=True,
                 )
-            return cls(Required, checker=checker)
+            return cls(checker=checker)
         # legacy: param is named "bot" and has no type annotation
         elif param.annotation == param.empty and param.name == "bot":
-            return cls(Required)
+            return cls()
 
     @override
     async def _solve(self, bot: "Bot", **kwargs: Any) -> Any:
@@ -284,8 +271,8 @@ class BotParam(Param):
 
     @override
     async def _check(self, bot: "Bot", **kwargs: Any) -> None:
-        if checker := self.extra.get("checker"):
+        if self.checker is not None:
-            check_field_type(checker, bot)
+            check_field_type(self.checker, bot)
 
 
 class EventParam(Param):
@@ -296,14 +283,16 @@ class EventParam(Param):
     为保证兼容性，本注入还会解析名为 `event` 且没有类型注解的参数。
     """
 
+    def __init__(
+        self, *args, checker: Optional[ModelField] = None, **kwargs: Any
+    ) -> None:
+        super().__init__(*args, **kwargs)
+        self.checker = checker
+
     def __repr__(self) -> str:
         return (
             "EventParam("
-            + (
+            + (repr(self.checker.annotation) if self.checker is not None else "")
-                repr(cast(ModelField, checker).type_)
-                if (checker := self.extra.get("checker"))
-                else ""
-            )
             + ")"
         )
 
@@ -318,18 +307,13 @@ class EventParam(Param):
         if generic_check_issubclass(param.annotation, Event):
             checker: Optional[ModelField] = None
             if param.annotation is not Event:
-                checker = ModelField(
+                checker = ModelField.construct(
-                    name=param.name,
+                    name=param.name, annotation=param.annotation, field_info=FieldInfo()
-                    type_=param.annotation,
-                    class_validators=None,
-                    model_config=CustomConfig,
-                    default=None,
-                    required=True,
                 )
-            return cls(Required, checker=checker)
+            return cls(checker=checker)
         # legacy: param is named "event" and has no type annotation
         elif param.annotation == param.empty and param.name == "event":
-            return cls(Required)
+            return cls()
 
     @override
     async def _solve(self, event: "Event", **kwargs: Any) -> Any:
@@ -337,8 +321,8 @@ class EventParam(Param):
 
     @override
     async def _check(self, event: "Event", **kwargs: Any) -> Any:
-        if checker := self.extra.get("checker", None):
+        if self.checker is not None:
-            check_field_type(checker, event)
+            check_field_type(self.checker, event)
 
 
 class StateParam(Param):
@@ -359,10 +343,10 @@ class StateParam(Param):
     ) -> Optional[Self]:
         # param type is T_State
         if param.annotation is T_State:
-            return cls(Required)
+            return cls()
         # legacy: param is named "state" and has no type annotation
         elif param.annotation == param.empty and param.name == "state":
-            return cls(Required)
+            return cls()
 
     @override
     async def _solve(self, state: T_State, **kwargs: Any) -> Any:
@@ -377,8 +361,18 @@ class MatcherParam(Param):
     为保证兼容性，本注入还会解析名为 `matcher` 且没有类型注解的参数。
     """
 
+    def __init__(
+        self, *args, checker: Optional[ModelField] = None, **kwargs: Any
+    ) -> None:
+        super().__init__(*args, **kwargs)
+        self.checker = checker
+
     def __repr__(self) -> str:
-        return "MatcherParam()"
+        return (
+            "MatcherParam("
+            + (repr(self.checker.annotation) if self.checker is not None else "")
+            + ")"
+        )
 
     @classmethod
     @override
@@ -391,18 +385,13 @@ class MatcherParam(Param):
         if generic_check_issubclass(param.annotation, Matcher):
             checker: Optional[ModelField] = None
             if param.annotation is not Matcher:
-                checker = ModelField(
+                checker = ModelField.construct(
-                    name=param.name,
+                    name=param.name, annotation=param.annotation, field_info=FieldInfo()
-                    type_=param.annotation,
-                    class_validators=None,
-                    model_config=CustomConfig,
-                    default=None,
-                    required=True,
                 )
-            return cls(Required, checker=checker)
+            return cls(checker=checker)
         # legacy: param is named "matcher" and has no type annotation
         elif param.annotation == param.empty and param.name == "matcher":
-            return cls(Required)
+            return cls()
 
     @override
     async def _solve(self, matcher: "Matcher", **kwargs: Any) -> Any:
@@ -410,16 +399,16 @@ class MatcherParam(Param):
 
     @override
     async def _check(self, matcher: "Matcher", **kwargs: Any) -> Any:
-        if checker := self.extra.get("checker", None):
+        if self.checker is not None:
-            check_field_type(checker, matcher)
+            check_field_type(self.checker, matcher)
 
 
 class ArgInner:
     def __init__(
         self, key: Optional[str], type: Literal["message", "str", "plaintext"]
     ) -> None:
-        self.key = key
+        self.key: Optional[str] = key
-        self.type = type
+        self.type: Literal["message", "str", "plaintext"] = type
 
     def __repr__(self) -> str:
         return f"ArgInner(key={self.key!r}, type={self.type!r})"
@@ -449,8 +438,19 @@ class ArgParam(Param):
     留空则会根据参数名称获取。
     """
 
+    def __init__(
+        self,
+        *args,
+        key: str,
+        type: Literal["message", "str", "plaintext"],
+        **kwargs: Any,
+    ) -> None:
+        super().__init__(*args, **kwargs)
+        self.key = key
+        self.type = type
+
     def __repr__(self) -> str:
-        return f"ArgParam(key={self.extra['key']!r}, type={self.extra['type']!r})"
+        return f"ArgParam(key={self.key!r}, type={self.type!r})"
 
     @classmethod
     @override
@@ -458,22 +458,19 @@ class ArgParam(Param):
         cls, param: inspect.Parameter, allow_types: Tuple[Type[Param], ...]
     ) -> Optional[Self]:
         if isinstance(param.default, ArgInner):
-            return cls(
+            return cls(key=param.default.key or param.name, type=param.default.type)
-                Required, key=param.default.key or param.name, type=param.default.type
-            )
         elif get_origin(param.annotation) is Annotated:
             for arg in get_args(param.annotation)[:0:-1]:
                 if isinstance(arg, ArgInner):
-                    return cls(Required, key=arg.key or param.name, type=arg.type)
+                    return cls(key=arg.key or param.name, type=arg.type)
 
     async def _solve(self, matcher: "Matcher", **kwargs: Any) -> Any:
-        key: str = self.extra["key"]
+        message = matcher.get_arg(self.key)
-        message = matcher.get_arg(key)
         if message is None:
             return message
-        if self.extra["type"] == "message":
+        if self.type == "message":
             return message
-        elif self.extra["type"] == "str":
+        elif self.type == "str":
             return str(message)
         else:
             return message.extract_plain_text()
@@ -497,10 +494,10 @@ class ExceptionParam(Param):
     ) -> Optional[Self]:
         # param type is Exception(s) or subclass(es) of Exception or None
         if generic_check_issubclass(param.annotation, Exception):
-            return cls(Required)
+            return cls()
         # legacy: param is named "exception" and has no type annotation
         elif param.annotation == param.empty and param.name == "exception":
-            return cls(Required)
+            return cls()
 
     @override
     async def _solve(self, exception: Optional[Exception] = None, **kwargs: Any) -> Any:
@@ -524,11 +521,11 @@ class DefaultParam(Param):
         cls, param: inspect.Parameter, allow_types: Tuple[Type[Param], ...]
     ) -> Optional[Self]:
         if param.default != param.empty:
-            return cls(param.default)
+            return cls(default=param.default)
 
     @override
     async def _solve(self, **kwargs: Any) -> Any:
-        return Undefined
+        return PydanticUndefined
 
 
 __autodoc__ = {

nonebot/typing.py

@@ -10,18 +10,13 @@ FrontMatter:
     description: nonebot.typing 模块
 """
 
+import sys
+import types
 import warnings
-from typing_extensions import ParamSpec, TypeAlias, override
+import typing as t
-from typing import (
+import typing_extensions as t_ext
-    TYPE_CHECKING,
+from typing import TYPE_CHECKING, TypeVar
-    Any,
+from typing_extensions import ParamSpec, TypeAlias, get_args, override, get_origin
-    Dict,
-    Union,
-    TypeVar,
-    Callable,
-    Optional,
-    Awaitable,
-)
 
 if TYPE_CHECKING:
     from asyncio import Task
@@ -32,7 +27,7 @@ if TYPE_CHECKING:
 T = TypeVar("T")
 P = ParamSpec("P")
 
-T_Wrapped: TypeAlias = Callable[P, T]
+T_Wrapped: TypeAlias = t.Callable[P, T]
 
 
 def overrides(InterfaceClass: object):
@@ -47,14 +42,70 @@ def overrides(InterfaceClass: object):
     return override
 
 
+if sys.version_info < (3, 10):
+
+    def origin_is_union(origin: t.Optional[t.Type[t.Any]]) -> bool:
+        """判断是否是 Union 类型"""
+        return origin is t.Union
+
+else:
+
+    def origin_is_union(origin: t.Optional[t.Type[t.Any]]) -> bool:
+        return origin is t.Union or origin is types.UnionType
+
+
+def origin_is_literal(origin: t.Optional[t.Type[t.Any]]) -> bool:
+    """判断是否是 Literal 类型"""
+    return origin is t.Literal or origin is t_ext.Literal
+
+
+def _literal_values(type_: t.Type[t.Any]) -> t.Tuple[t.Any, ...]:
+    return get_args(type_)
+
+
+def all_literal_values(type_: t.Type[t.Any]) -> t.List[t.Any]:
+    """获取 Literal 类型包含的所有值"""
+    if not origin_is_literal(get_origin(type_)):
+        return [type_]
+
+    return [x for value in _literal_values(type_) for x in all_literal_values(value)]
+
+
+NONE_TYPES = {None, type(None), t.Literal[None], t_ext.Literal[None]}
+if sys.version_info >= (3, 10):
+    NONE_TYPES.add(types.NoneType)
+
+
+def is_none_type(type_: t.Type[t.Any]) -> bool:
+    """判断是否是 None 类型"""
+    return type_ in NONE_TYPES
+
+
+if sys.version_info < (3, 9):  # pragma: py-lt-39
+
+    def evaluate_forwardref(
+        ref: t.ForwardRef, globalns: t.Dict[str, t.Any], localns: t.Dict[str, t.Any]
+    ) -> t.Any:
+        return ref._evaluate(globalns, localns)
+
+else:  # pragma: py-gte-39
+
+    def evaluate_forwardref(
+        ref: t.ForwardRef, globalns: t.Dict[str, t.Any], localns: t.Dict[str, t.Any]
+    ) -> t.Any:
+        return ref._evaluate(globalns, localns, frozenset())
+
+
 # state
-T_State: TypeAlias = Dict[Any, Any]
+T_State: TypeAlias = t.Dict[t.Any, t.Any]
 """事件处理状态 State 类型"""
 
-_DependentCallable: TypeAlias = Union[Callable[..., T], Callable[..., Awaitable[T]]]
+_DependentCallable: TypeAlias = t.Union[
+    t.Callable[..., T], t.Callable[..., t.Awaitable[T]]
+]
 
 # driver hooks
-T_BotConnectionHook: TypeAlias = _DependentCallable[Any]
+T_BotConnectionHook: TypeAlias = _DependentCallable[t.Any]
 """Bot 连接建立时钩子函数
 
 依赖参数:
@@ -63,7 +114,7 @@ T_BotConnectionHook: TypeAlias = _DependentCallable[Any]
 - BotParam: Bot 对象
 - DefaultParam: 带有默认值的参数
 """
-T_BotDisconnectionHook: TypeAlias = _DependentCallable[Any]
+T_BotDisconnectionHook: TypeAlias = _DependentCallable[t.Any]
 """Bot 连接断开时钩子函数
 
 依赖参数:
@@ -74,15 +125,17 @@ T_BotDisconnectionHook: TypeAlias = _DependentCallable[Any]
 """
 
 # api hooks
-T_CallingAPIHook: TypeAlias = Callable[["Bot", str, Dict[str, Any]], Awaitable[Any]]
+T_CallingAPIHook: TypeAlias = t.Callable[
+    ["Bot", str, t.Dict[str, t.Any]], t.Awaitable[t.Any]
+]
 """`bot.call_api` 钩子函数"""
-T_CalledAPIHook: TypeAlias = Callable[
+T_CalledAPIHook: TypeAlias = t.Callable[
-    ["Bot", Optional[Exception], str, Dict[str, Any], Any], Awaitable[Any]
+    ["Bot", t.Optional[Exception], str, t.Dict[str, t.Any], t.Any], t.Awaitable[t.Any]
 ]
 """`bot.call_api` 后执行的函数，参数分别为 bot, exception, api, data, result"""
 
 # event hooks
-T_EventPreProcessor: TypeAlias = _DependentCallable[Any]
+T_EventPreProcessor: TypeAlias = _DependentCallable[t.Any]
 """事件预处理函数 EventPreProcessor 类型
 
 依赖参数:
@@ -93,7 +146,7 @@ T_EventPreProcessor: TypeAlias = _DependentCallable[Any]
 - StateParam: State 对象
 - DefaultParam: 带有默认值的参数
 """
-T_EventPostProcessor: TypeAlias = _DependentCallable[Any]
+T_EventPostProcessor: TypeAlias = _DependentCallable[t.Any]
 """事件后处理函数 EventPostProcessor 类型
 
 依赖参数:
@@ -106,7 +159,7 @@ T_EventPostProcessor: TypeAlias = _DependentCallable[Any]
 """
 
 # matcher run hooks
-T_RunPreProcessor: TypeAlias = _DependentCallable[Any]
+T_RunPreProcessor: TypeAlias = _DependentCallable[t.Any]
 """事件响应器运行前预处理函数 RunPreProcessor 类型
 
 依赖参数:
@@ -118,7 +171,7 @@ T_RunPreProcessor: TypeAlias = _DependentCallable[Any]
 - MatcherParam: Matcher 对象
 - DefaultParam: 带有默认值的参数
 """
-T_RunPostProcessor: TypeAlias = _DependentCallable[Any]
+T_RunPostProcessor: TypeAlias = _DependentCallable[t.Any]
 """事件响应器运行后后处理函数 RunPostProcessor 类型
 
 依赖参数:
@@ -155,7 +208,7 @@ T_PermissionChecker: TypeAlias = _DependentCallable[bool]
 - DefaultParam: 带有默认值的参数
 """
 
-T_Handler: TypeAlias = _DependentCallable[Any]
+T_Handler: TypeAlias = _DependentCallable[t.Any]
 """Handler 处理函数。"""
 T_TypeUpdater: TypeAlias = _DependentCallable[str]
 """TypeUpdater 在 Matcher.pause, Matcher.reject 时被运行，用于更新响应的事件类型。
@@ -183,5 +236,5 @@ T_PermissionUpdater: TypeAlias = _DependentCallable["Permission"]
 - MatcherParam: Matcher 对象
 - DefaultParam: 带有默认值的参数
 """
-T_DependencyCache: TypeAlias = Dict[_DependentCallable[Any], "Task[Any]"]
+T_DependencyCache: TypeAlias = t.Dict[_DependentCallable[t.Any], "Task[t.Any]"]
 """依赖缓存, 用于存储依赖函数的返回值"""

nonebot/utils.py

@@ -12,28 +12,38 @@ import inspect
 import importlib
 import dataclasses
 from pathlib import Path
+from collections import deque
 from contextvars import copy_context
 from functools import wraps, partial
 from contextlib import asynccontextmanager
 from typing_extensions import ParamSpec, get_args, override, get_origin
 from typing import (
     Any,
+    Dict,
     Type,
     Tuple,
     Union,
     Generic,
+    Mapping,
     TypeVar,
     Callable,
     Optional,
+    Sequence,
     Coroutine,
     AsyncGenerator,
     ContextManager,
     overload,
 )
 
-from pydantic.typing import is_union, is_none_type, is_literal_type, all_literal_values
+from pydantic import BaseModel
 
 from nonebot.log import logger
+from nonebot.typing import (
+    is_none_type,
+    origin_is_union,
+    origin_is_literal,
+    all_literal_values,
+)
 
 P = ParamSpec("P")
 R = TypeVar("R")
@@ -53,6 +63,34 @@ def escape_tag(s: str) -> str:
     return re.sub(r"</?((?:[fb]g\s)?[^<>\s]*)>", r"\\\g<0>", s)
 
 
+def deep_update(
+    mapping: Dict[K, Any], *updating_mappings: Dict[K, Any]
+) -> Dict[K, Any]:
+    """深度更新合并字典"""
+    updated_mapping = mapping.copy()
+    for updating_mapping in updating_mappings:
+        for k, v in updating_mapping.items():
+            if (
+                k in updated_mapping
+                and isinstance(updated_mapping[k], dict)
+                and isinstance(v, dict)
+            ):
+                updated_mapping[k] = deep_update(updated_mapping[k], v)
+            else:
+                updated_mapping[k] = v
+    return updated_mapping
+
+
+def lenient_issubclass(
+    cls: Any, class_or_tuple: Union[Type[Any], Tuple[Type[Any], ...]]
+) -> bool:
+    """检查 cls 是否是 class_or_tuple 中的一个类型子类并忽略类型错误。"""
+    try:
+        return isinstance(cls, type) and issubclass(cls, class_or_tuple)
+    except TypeError:
+        return False
+
+
 def generic_check_issubclass(
     cls: Any, class_or_tuple: Union[Type[Any], Tuple[Type[Any], ...]]
 ) -> bool:
@@ -62,6 +100,8 @@ def generic_check_issubclass(
 
     - 如果 cls 是 `typing.Union` 或 `types.UnionType` 类型，
       则会检查其中的所有类型是否是 class_or_tuple 中一个类型的子类或 None。
+    - 如果 cls 是 `typing.Literal` 类型，
+      则会检查其中的所有值是否是 class_or_tuple 中一个类型的实例。
     - 如果 cls 是 `typing.TypeVar` 类型，
       则会检查其 `__bound__` 或 `__constraints__`
       是否是 class_or_tuple 中一个类型的子类或 None。
@@ -70,12 +110,12 @@ def generic_check_issubclass(
         return issubclass(cls, class_or_tuple)
     except TypeError:
         origin = get_origin(cls)
-        if is_union(origin):
+        if origin_is_union(origin):
             return all(
                 is_none_type(type_) or generic_check_issubclass(type_, class_or_tuple)
                 for type_ in get_args(cls)
             )
-        elif is_literal_type(cls):
+        elif origin_is_literal(origin):
             return all(
                 is_none_type(value) or isinstance(value, class_or_tuple)
                 for value in all_literal_values(cls)
@@ -99,6 +139,21 @@ def generic_check_issubclass(
         return False
 
 
+def type_is_complex(type_: Type[Any]) -> bool:
+    """检查 type_ 是否是复杂类型"""
+    origin = get_origin(type_)
+    return _type_is_complex_inner(type_) or _type_is_complex_inner(origin)
+
+
+def _type_is_complex_inner(type_: Optional[Type[Any]]) -> bool:
+    if lenient_issubclass(type_, (str, bytes)):
+        return False
+
+    return lenient_issubclass(
+        type_, (BaseModel, Mapping, Sequence, tuple, set, frozenset, deque)
+    ) or dataclasses.is_dataclass(type_)
+
+
 def is_coroutine_callable(call: Callable[..., Any]) -> bool:
     """检查 call 是否是一个 callable 协程函数"""
     if inspect.isroutine(call):

poetry.lock

@@ -138,6 +138,20 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
+[[package]]
+name = "annotated-types"
+version = "0.6.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"},
+    {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
+]
+
+[package.dependencies]
+typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
+
 [[package]]
 name = "anyio"
 version = "4.2.0"
@@ -743,18 +757,18 @@ testing = ["hatch", "pre-commit", "pytest", "tox"]
 
 [[package]]
 name = "fastapi"
-version = "0.108.0"
+version = "0.109.0"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "fastapi-0.108.0-py3-none-any.whl", hash = "sha256:8c7bc6d315da963ee4cdb605557827071a9a7f95aeb8fcdd3bde48cdc8764dd7"},
+    {file = "fastapi-0.109.0-py3-none-any.whl", hash = "sha256:8c77515984cd8e8cfeb58364f8cc7a28f0692088475e2614f7bf03275eba9093"},
-    {file = "fastapi-0.108.0.tar.gz", hash = "sha256:5056e504ac6395bf68493d71fcfc5352fdbd5fda6f88c21f6420d80d81163296"},
+    {file = "fastapi-0.109.0.tar.gz", hash = "sha256:b978095b9ee01a5cf49b19f4bc1ac9b8ca83aa076e770ef8fd9af09a2b88d191"},
 ]
 
 [package.dependencies]
 pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
-starlette = ">=0.29.0,<0.33.0"
+starlette = ">=0.35.0,<0.36.0"
 typing-extensions = ">=4.8.0"
 
 [package.extras]
@@ -778,13 +792,13 @@ typing = ["typing-extensions (>=4.8)"]
 
 [[package]]
 name = "flask"
-version = "3.0.0"
+version = "3.0.1"
 description = "A simple framework for building complex web applications."
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "flask-3.0.0-py3-none-any.whl", hash = "sha256:21128f47e4e3b9d597a3e8521a329bf56909b690fcc3fa3e477725aa81367638"},
+    {file = "flask-3.0.1-py3-none-any.whl", hash = "sha256:ca631a507f6dfe6c278ae20112cea3ff54ff2216390bf8880f6b035a5354af13"},
-    {file = "flask-3.0.0.tar.gz", hash = "sha256:cfadcdb638b609361d29ec22360d6070a77d7463dcb3ab08d2c2f2f168845f58"},
+    {file = "flask-3.0.1.tar.gz", hash = "sha256:6489f51bb3666def6f314e15f19d50a1869a19ae0e8c9a3641ffe66c77d42403"},
 ]
 
 [package.dependencies]
@@ -1169,71 +1183,71 @@ dev = ["Sphinx (==7.2.5)", "colorama (==0.4.5)", "colorama (==0.4.6)", "exceptio
 
 [[package]]
 name = "markupsafe"
-version = "2.1.3"
+version = "2.1.4"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.7"
 files = [
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 [[package]]
@@ -1359,6 +1373,28 @@ files = [
 [package.dependencies]
 setuptools = "*"
 
+[[package]]
+name = "nonebot-test"
+version = "0.1.0"
+description = "Private test env for nonebot"
+optional = false
+python-versions = "^3.8"
+files = []
+develop = false
+
+[package.dependencies]
+coverage-conditional-plugin = "^0.9.0"
+nonebug = "^0.3.0"
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+pytest-cov = "^4.0.0"
+pytest-xdist = "^3.0.2"
+werkzeug = ">=2.3.6,<4.0.0"
+wsproto = "^1.2.0"
+
+[package.source]
+type = "directory"
+url = "envs/test"
+
 [[package]]
 name = "nonebug"
 version = "0.3.5"
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+
+[package.dependencies]
+typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
 [[package]]
 name = "pygtrie"
@@ -1720,13 +1840,13 @@ testing = ["filelock"]
 
 [[package]]
 name = "python-dotenv"
-version = "1.0.0"
+version = "1.0.1"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
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@@ -1842,28 +1963,28 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
 [[package]]
 name = "ruff"
-version = "0.1.11"
+version = "0.1.14"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [[package]]
@@ -1895,13 +2016,13 @@ files = [
 
 [[package]]
 name = "starlette"
-version = "0.32.0.post1"
+version = "0.35.1"
 description = "The little ASGI library that shines."
 optional = true
 python-versions = ">=3.8"
 files = [
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+    {file = "starlette-0.35.1-py3-none-any.whl", hash = "sha256:50bbbda9baa098e361f398fda0928062abbaf1f54f4fadcbe17c092a01eb9a25"},
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 ]
 
 [package.dependencies]
@@ -1965,13 +2086,13 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "uvicorn"
-version = "0.25.0"
+version = "0.27.0"
 description = "The lightning-fast ASGI server."
 optional = true
 python-versions = ">=3.8"
 files = [
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+    {file = "uvicorn-0.27.0.tar.gz", hash = "sha256:c855578045d45625fd027367f7653d249f7c49f9361ba15cf9624186b26b8eb6"},
 ]
 
 [package.dependencies]
@@ -2406,4 +2527,4 @@ websockets = ["websockets"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.8"
-content-hash = "ec064b0d1c22da40c55132f706fbf3802b8a5f8dcf647c2302ee0a2d248e3340"
+content-hash = "c7bfb445740f52e4b9d7fcdde285a5536c15d5892f3b54cd0aa6e8ef7fa82ae3"

pyproject.toml

@@ -28,10 +28,10 @@ include = ["nonebot/py.typed"]
 python = "^3.8"
 yarl = "^1.7.2"
 pygtrie = "^2.4.1"
-pydantic = "^1.10.0"
 loguru = ">=0.6.0,<1.0.0"
 python-dotenv = ">=0.21.0,<2.0.0"
 typing-extensions = ">=4.4.0,<5.0.0"
+pydantic = ">=1.10.0,<3.0.0,!=2.5.0,!=2.5.1"
 tomli = { version = "^2.0.1", python = "<3.11" }
 
 websockets = { version = ">=10.0", optional = true }
@@ -51,13 +51,7 @@ pre-commit = "^3.0.0"
 ruff = ">=0.0.272,<1.0.0"
 
 [tool.poetry.group.test.dependencies]
-nonebug = "^0.3.0"
+nonebot-test = { path = "./envs/test/", develop = false }
-wsproto = "^1.2.0"
-pytest-cov = "^4.0.0"
-pytest-xdist = "^3.0.2"
-pytest-asyncio = "^0.23.2"
-werkzeug = ">=2.3.6,<4.0.0"
-coverage-conditional-plugin = "^0.9.0"
 
 [tool.poetry.group.docs.dependencies]
 nb-autodoc = "^1.0.0a5"
@@ -105,6 +99,7 @@ mark-parentheses = false
 [tool.pyright]
 pythonVersion = "3.8"
 pythonPlatform = "All"
+defineConstant = { PYDANTIC_V2 = true }
 executionEnvironments = [
   { root = "./tests", extraPaths = [
     "./",

scripts/build-api-docs.sh

@@ -0,0 +1,11 @@
+#! /usr/bin/env bash
+
+# cd to the root of the project
+cd "$(dirname "$0")/.."
+
+poetry run nb-autodoc nonebot \
+  -s nonebot.plugins \
+  -u nonebot.internal \
+  -u nonebot.internal.*
+cp -r ./build/nonebot/* ./website/docs/api/
+yarn prettier

scripts/run-tests.sh

@@ -0,0 +1,7 @@
+#! /usr/bin/env bash
+
+# cd to the root of the tests
+cd "$(dirname "$0")/../tests"
+
+# Run the tests
+pytest -n auto --cov-report xml $@

scripts/setup-envs.sh

@@ -0,0 +1,14 @@
+#! /usr/bin/env bash
+
+# config poetry to install env in project
+poetry config virtualenvs.in-project true
+
+# setup dev environment
+echo "Setting up dev environment"
+poetry install --all-extras && poetry run pre-commit install && yarn install
+
+# setup pydantic v2 test environment
+for env in $(find ./envs/ -maxdepth 1 -mindepth 1 -type d -not -name test); do
+  echo "Setting up $env environment"
+  (cd $env && poetry install --no-root)
+done

scripts/update-envs.sh

@@ -0,0 +1,15 @@
+#! /usr/bin/env bash
+
+# update test env
+echo "Updating test env..."
+(cd ./envs/test/ && poetry update --lock)
+
+# update dev env
+echo "Updating dev env..."
+poetry update
+
+# update other envs
+for env in $(find ./envs/ -maxdepth 1 -mindepth 1 -type d -not -name test); do
+  echo "Updating $env env..."
+  (cd $env && poetry update)
+done

tests/.coveragerc

@@ -22,5 +22,8 @@ rules =
   "sys_platform != 'linux'": py-linux
   "sys_platform != 'darwin'": py-darwin
   "sys_version_info < (3, 9)": py-gte-39
+  "sys_version_info >= (3, 9)": py-lt-39
   "sys_version_info < (3, 11)": py-gte-311
   "sys_version_info >= (3, 11)": py-lt-311
+  "package_version('pydantic') < (2,)": pydantic-v2
+  "package_version('pydantic') >= (2,)": pydantic-v1

tests/plugins/param/param_exception.py

@@ -4,3 +4,7 @@ from typing import Union
 async def exc(e: Exception, x: Union[ValueError, TypeError]) -> Exception:
     assert e == x
     return e
+
+
+async def legacy_exc(exception) -> Exception:
+    return exception

tests/test_adapters/test_message.py

@@ -1,8 +1,9 @@
 import pytest
-from pydantic import ValidationError, parse_obj_as
+from pydantic import ValidationError
 
-from nonebot.adapters import Message
+from nonebot.compat import type_validate_python
 from utils import FakeMessage, FakeMessageSegment
+from nonebot.adapters import Message, MessageSegment
 
 
 def test_segment_data():
@@ -47,16 +48,21 @@ def test_segment_add():
 
 
 def test_segment_validate():
-    assert parse_obj_as(
+    assert type_validate_python(
         FakeMessageSegment,
         {"type": "text", "data": {"text": "text"}, "extra": "should be ignored"},
     ) == FakeMessageSegment.text("text")
+    with pytest.raises(ValidationError):
+        type_validate_python(
+            type("FakeMessageSegment2", (MessageSegment,), {}),
+            FakeMessageSegment.text("text"),
+        )
 
     with pytest.raises(ValidationError):
-        parse_obj_as(FakeMessageSegment, "some str")
+        type_validate_python(FakeMessageSegment, "some str")
 
     with pytest.raises(ValidationError):
-        parse_obj_as(FakeMessageSegment, {"data": {}})
+        type_validate_python(FakeMessageSegment, {"data": {}})
 
 
 def test_segment_join():
@@ -144,26 +150,26 @@ def test_message_getitem():
 
 
 def test_message_validate():
-    assert parse_obj_as(FakeMessage, FakeMessage([])) == FakeMessage([])
+    assert type_validate_python(FakeMessage, FakeMessage([])) == FakeMessage([])
 
     with pytest.raises(ValidationError):
-        parse_obj_as(type("FakeMessage2", (Message,), {}), FakeMessage([]))
+        type_validate_python(type("FakeMessage2", (Message,), {}), FakeMessage([]))
 
-    assert parse_obj_as(FakeMessage, "text") == FakeMessage(
+    assert type_validate_python(FakeMessage, "text") == FakeMessage(
         [FakeMessageSegment.text("text")]
     )
 
-    assert parse_obj_as(
+    assert type_validate_python(
         FakeMessage, {"type": "text", "data": {"text": "text"}}
     ) == FakeMessage([FakeMessageSegment.text("text")])
 
-    assert parse_obj_as(
+    assert type_validate_python(
         FakeMessage,
         [FakeMessageSegment.text("text"), {"type": "text", "data": {"text": "text"}}],
     ) == FakeMessage([FakeMessageSegment.text("text"), FakeMessageSegment.text("text")])
 
     with pytest.raises(ValidationError):
-        parse_obj_as(FakeMessage, object())
+        type_validate_python(FakeMessage, object())
 
 
 def test_message_contains():

tests/test_compat.py

@@ -0,0 +1,56 @@
+from typing import Any
+from dataclasses import dataclass
+
+import pytest
+
+from nonebot.compat import (
+    DEFAULT_CONFIG,
+    Required,
+    FieldInfo,
+    PydanticUndefined,
+    custom_validation,
+    type_validate_python,
+)
+
+
+@pytest.mark.asyncio
+async def test_default_config():
+    assert DEFAULT_CONFIG.get("extra") == "allow"
+    assert DEFAULT_CONFIG.get("arbitrary_types_allowed") is True
+
+
+@pytest.mark.asyncio
+async def test_field_info():
+    # required should be convert to PydanticUndefined
+    assert FieldInfo(Required).default is PydanticUndefined
+
+    # field info should allow extra attributes
+    assert FieldInfo(test="test").extra["test"] == "test"
+
+
+@pytest.mark.asyncio
+async def test_custom_validation():
+    called = []
+
+    @custom_validation
+    @dataclass
+    class TestModel:
+        test: int
+
+        @classmethod
+        def __get_validators__(cls):
+            yield cls._validate_1
+            yield cls._validate_2
+
+        @classmethod
+        def _validate_1(cls, v: Any) -> Any:
+            called.append(1)
+            return v
+
+        @classmethod
+        def _validate_2(cls, v: Any) -> Any:
+            called.append(2)
+            return cls(test=v["test"])
+
+    assert type_validate_python(TestModel, {"test": 1}) == TestModel(test=1)
+    assert called == [1, 2]

tests/test_param.py

@@ -218,7 +218,7 @@ async def test_event(app: App):
 
     async with app.test_dependent(union_event, allow_types=[EventParam]) as ctx:
         ctx.pass_params(event=fake_fooevent)
-        ctx.should_return(fake_event)
+        ctx.should_return(fake_fooevent)
 
     async with app.test_dependent(generic_event, allow_types=[EventParam]) as ctx:
         ctx.pass_params(event=fake_event)
@@ -529,13 +529,17 @@ async def test_arg(app: App):
 
 @pytest.mark.asyncio
 async def test_exception(app: App):
-    from plugins.param.param_exception import exc
+    from plugins.param.param_exception import exc, legacy_exc
 
     exception = ValueError("test")
     async with app.test_dependent(exc, allow_types=[ExceptionParam]) as ctx:
         ctx.pass_params(exception=exception)
         ctx.should_return(exception)
 
+    async with app.test_dependent(legacy_exc, allow_types=[ExceptionParam]) as ctx:
+        ctx.pass_params(exception=exception)
+        ctx.should_return(exception)
+
 
 @pytest.mark.asyncio
 async def test_default(app: App):