FrameBridge 0.3.4 corresponding-source release

Snapshot assembled only from the signed corresponding-source archive.
Source archive SHA-256: db91a270cdefc4be79056ed38a0b4a16747e1ab130592645eac40fa3809809df

source/target-vendors/cp312/pydantic_settings/sources/__init__.py

@@ -0,0 +1,88 @@
+"""Package for handling configuration sources in pydantic-settings."""
+
+from .base import (
+    ConfigFileSourceMixin,
+    DefaultSettingsSource,
+    InitSettingsSource,
+    PydanticBaseEnvSettingsSource,
+    PydanticBaseSettingsSource,
+    get_subcommand,
+)
+from .providers.aws import AWSSecretsManagerSettingsSource
+from .providers.azure import AzureKeyVaultSettingsSource
+from .providers.cli import (
+    CLI_SUPPRESS,
+    CliDualFlag,
+    CliExplicitFlag,
+    CliImplicitFlag,
+    CliMutuallyExclusiveGroup,
+    CliPositionalArg,
+    CliSettingsSource,
+    CliSubCommand,
+    CliSuppress,
+    CliToggleFlag,
+    CliUnknownArgs,
+)
+from .providers.dotenv import DotEnvSettingsSource, read_env_file
+from .providers.env import EnvSettingsSource
+from .providers.gcp import GoogleSecretManagerSettingsSource
+from .providers.json import JsonConfigSettingsSource
+from .providers.nested_secrets import NestedSecretsSettingsSource
+from .providers.pyproject import PyprojectTomlConfigSettingsSource
+from .providers.secrets import SecretsSettingsSource
+from .providers.toml import TomlConfigSettingsSource
+from .providers.yaml import YamlConfigSettingsSource
+from .types import (
+    DEFAULT_PATH,
+    ENV_FILE_SENTINEL,
+    ConfigFileSourceType,
+    DotenvFiltering,
+    DotenvType,
+    EnvPrefixTarget,
+    ForceDecode,
+    NoDecode,
+    PathType,
+    PydanticModel,
+)
+
+__all__ = [
+    'CLI_SUPPRESS',
+    'DEFAULT_PATH',
+    'ENV_FILE_SENTINEL',
+    'AWSSecretsManagerSettingsSource',
+    'AzureKeyVaultSettingsSource',
+    'CliDualFlag',
+    'CliExplicitFlag',
+    'CliImplicitFlag',
+    'CliMutuallyExclusiveGroup',
+    'CliPositionalArg',
+    'CliSettingsSource',
+    'CliSubCommand',
+    'CliSuppress',
+    'CliToggleFlag',
+    'CliUnknownArgs',
+    'ConfigFileSourceMixin',
+    'ConfigFileSourceType',
+    'DefaultSettingsSource',
+    'DotEnvSettingsSource',
+    'DotenvFiltering',
+    'DotenvType',
+    'EnvPrefixTarget',
+    'EnvSettingsSource',
+    'ForceDecode',
+    'GoogleSecretManagerSettingsSource',
+    'InitSettingsSource',
+    'JsonConfigSettingsSource',
+    'NestedSecretsSettingsSource',
+    'NoDecode',
+    'PathType',
+    'PydanticBaseEnvSettingsSource',
+    'PydanticBaseSettingsSource',
+    'PydanticModel',
+    'PyprojectTomlConfigSettingsSource',
+    'SecretsSettingsSource',
+    'TomlConfigSettingsSource',
+    'YamlConfigSettingsSource',
+    'get_subcommand',
+    'read_env_file',
+]

source/target-vendors/cp312/pydantic_settings/sources/base.py

@@ -0,0 +1,639 @@
+"""Base classes and core functionality for pydantic-settings sources."""
+
+from __future__ import annotations as _annotations
+
+import json
+from abc import ABC, abstractmethod
+from collections.abc import Sequence
+from dataclasses import asdict, is_dataclass
+from pathlib import Path
+from typing import TYPE_CHECKING, Any, cast, get_args
+
+from pydantic import AliasChoices, AliasPath, BaseModel, TypeAdapter
+from pydantic._internal._typing_extra import (  # type: ignore[attr-defined]
+    get_origin,
+)
+from pydantic._internal._utils import deep_update, is_model_class
+from pydantic.fields import FieldInfo
+from typing_inspection.introspection import is_union_origin
+
+from ..exceptions import SettingsError
+from ..utils import _lenient_issubclass
+from .types import (
+    ConfigFileSourceType,
+    EnvNoneType,
+    EnvPrefixTarget,
+    ForceDecode,
+    NoDecode,
+    PydanticModel,
+    _CliSubCommand,
+)
+from .utils import (
+    InitState,
+    _annotation_is_complex,
+    _get_alias_names,
+    _get_field_metadata,
+    _get_model_fields,
+    _resolve_type_alias,
+    _strip_annotated,
+    _union_is_complex,
+    _warn_if_field_info_incomplete,
+)
+
+if TYPE_CHECKING:
+    from pydantic_settings.main import BaseSettings
+
+    from .types import Traversable
+
+
+def get_subcommand(
+    model: PydanticModel,
+    is_required: bool = True,
+    cli_exit_on_error: bool | None = None,
+    _suppress_errors: list[SettingsError | SystemExit] | None = None,
+) -> PydanticModel | None:
+    """
+    Get the subcommand from a model.
+
+    Args:
+        model: The model to get the subcommand from.
+        is_required: Determines whether a model must have subcommand set and raises error if not
+            found. Defaults to `True`.
+        cli_exit_on_error: Determines whether this function exits with error if no subcommand is found.
+            Defaults to model_config `cli_exit_on_error` value if set. Otherwise, defaults to `True`.
+
+    Returns:
+        The subcommand model if found, otherwise `None`.
+
+    Raises:
+        SystemExit: When no subcommand is found and is_required=`True` and cli_exit_on_error=`True`
+            (the default).
+        SettingsError: When no subcommand is found and is_required=`True` and
+            cli_exit_on_error=`False`.
+    """
+
+    model_cls = type(model)
+    if cli_exit_on_error is None and is_model_class(model_cls):
+        model_default = model_cls.model_config.get('cli_exit_on_error')
+        if isinstance(model_default, bool):
+            cli_exit_on_error = model_default
+    if cli_exit_on_error is None:
+        cli_exit_on_error = True
+
+    subcommands: list[str] = []
+    for field_name, field_info in _get_model_fields(model_cls).items():
+        if _CliSubCommand in field_info.metadata:
+            if getattr(model, field_name) is not None:
+                return getattr(model, field_name)
+            subcommands.append(field_name)
+        # TODO: we could warn if no sub command was found and one of `field_info`s
+        # isn't complete.
+
+    if is_required:
+        error_message = (
+            f'Error: CLI subcommand is required {{{", ".join(subcommands)}}}'
+            if subcommands
+            else 'Error: CLI subcommand is required but no subcommands were found.'
+        )
+        err = SystemExit(error_message) if cli_exit_on_error else SettingsError(error_message)
+        if _suppress_errors is None:
+            raise err
+        _suppress_errors.append(err)
+
+    return None
+
+
+class PydanticBaseSettingsSource(ABC):
+    """
+    Abstract base class for settings sources, every settings source classes should inherit from it.
+    """
+
+    def __init__(self, settings_cls: type[BaseSettings], _init_state: InitState | None = None):
+        self._init_state: InitState = {} if _init_state is None else _init_state
+        self.settings_cls = settings_cls
+        self.config = settings_cls.model_config
+        self._current_state: dict[str, Any] = {}
+        self._settings_sources_data: dict[str, dict[str, Any]] = {}
+
+    def _set_current_state(self, state: dict[str, Any]) -> None:
+        """
+        Record the state of settings from the previous settings sources. This should
+        be called right before __call__.
+        """
+        self._current_state = state
+
+    def _set_settings_sources_data(self, states: dict[str, dict[str, Any]]) -> None:
+        """
+        Record the state of settings from all previous settings sources. This should
+        be called right before __call__.
+        """
+        self._settings_sources_data = states
+
+    @property
+    def current_state(self) -> dict[str, Any]:
+        """
+        The current state of the settings, populated by the previous settings sources.
+        """
+        return self._current_state
+
+    @property
+    def settings_sources_data(self) -> dict[str, dict[str, Any]]:
+        """
+        The state of all previous settings sources.
+        """
+        return self._settings_sources_data
+
+    @abstractmethod
+    def get_field_value(self, field: FieldInfo, field_name: str) -> tuple[Any, str, bool]:
+        """
+        Gets the value, the key for model creation, and a flag to determine whether value is complex.
+
+        This is an abstract method that should be overridden in every settings source classes.
+
+        Args:
+            field: The field.
+            field_name: The field name.
+
+        Returns:
+            A tuple that contains the value, key and a flag to determine whether value is complex.
+        """
+
+    def field_is_complex(self, field: FieldInfo) -> bool:
+        """
+        Checks whether a field is complex, in which case it will attempt to be parsed as JSON.
+
+        Args:
+            field: The field.
+
+        Returns:
+            Whether the field is complex.
+        """
+        return _annotation_is_complex(field.annotation, field.metadata, self._init_state)
+
+    def prepare_field_value(self, field_name: str, field: FieldInfo, value: Any, value_is_complex: bool) -> Any:
+        """
+        Prepares the value of a field.
+
+        Args:
+            field_name: The field name.
+            field: The field.
+            value: The value of the field that has to be prepared.
+            value_is_complex: A flag to determine whether value is complex.
+
+        Returns:
+            The prepared value.
+        """
+        if value is not None and (self.field_is_complex(field) or value_is_complex):
+            return self.decode_complex_value(field_name, field, value)
+        return value
+
+    def decode_complex_value(self, field_name: str, field: FieldInfo, value: Any) -> Any:
+        """
+        Decode the value for a complex field
+
+        Args:
+            field_name: The field name.
+            field: The field.
+            value: The value of the field that has to be prepared.
+
+        Returns:
+            The decoded value for further preparation
+        """
+        if field and (
+            NoDecode in _get_field_metadata(field)
+            or (self.config.get('enable_decoding') is False and ForceDecode not in field.metadata)
+        ):
+            return value
+
+        return json.loads(value)
+
+    @abstractmethod
+    def __call__(self) -> dict[str, Any]:
+        pass
+
+
+class ConfigFileSourceMixin(ABC):
+    def _read_files(self, files: ConfigFileSourceType | None, deep_merge: bool = False) -> dict[str, Any]:
+        if files is None:
+            return {}
+        if not isinstance(files, Sequence) or isinstance(files, str):
+            files = [files]
+        vars: dict[str, Any] = {}
+        for file in files:
+            file_path: Path | Traversable = Path(file) if isinstance(file, str) else file
+            if isinstance(file_path, Path):
+                file_path = file_path.expanduser()
+
+            if not file_path.is_file():
+                continue
+
+            updating_vars = self._read_file(file_path)
+            if deep_merge:
+                vars = deep_update(vars, updating_vars)
+            else:
+                vars.update(updating_vars)
+        return vars
+
+    @abstractmethod
+    def _read_file(self, path: Path | Traversable) -> dict[str, Any]:
+        pass
+
+
+def _unwrap_optional_annotation(annotation: Any) -> Any:
+    """Return the inner type of an ``Optional[T]`` annotation, otherwise the annotation unchanged."""
+    if is_union_origin(get_origin(annotation)):
+        args = get_args(annotation)
+        if len(args) == 2 and type(None) in args:
+            for arg in args:
+                if arg is not type(None):
+                    return arg
+    return annotation
+
+
+def _has_discriminator(field_info: FieldInfo) -> bool:
+    """Check if a field uses a discriminated union (via Annotated or Field(discriminator=...))."""
+    if field_info.discriminator is not None:
+        return True
+    from pydantic import Discriminator
+
+    return any(isinstance(m, Discriminator) for m in field_info.metadata)
+
+
+class DefaultSettingsSource(PydanticBaseSettingsSource):
+    """
+    Source class for loading default object values.
+
+    Args:
+        settings_cls: The Settings class.
+        nested_model_default_partial_update: Whether to allow partial updates on nested model default object fields.
+            Defaults to `False`.
+    """
+
+    def __init__(
+        self,
+        settings_cls: type[BaseSettings],
+        nested_model_default_partial_update: bool | None = None,
+        _init_state: InitState | None = None,
+    ):
+        super().__init__(settings_cls, _init_state)
+        self.defaults: dict[str, Any] = {}
+        self.nested_model_default_partial_update = (
+            nested_model_default_partial_update
+            if nested_model_default_partial_update is not None
+            else self.config.get('nested_model_default_partial_update', False)
+        )
+        if self.nested_model_default_partial_update:
+            for field_name, field_info in settings_cls.model_fields.items():
+                _warn_if_field_info_incomplete(field_info, field_name, self._init_state)
+                if _has_discriminator(field_info):
+                    continue
+                alias_names, *_ = _get_alias_names(field_name, field_info)
+                preferred_alias = alias_names[0]
+                if is_dataclass(type(field_info.default)):
+                    self.defaults[preferred_alias] = asdict(field_info.default)
+                elif is_model_class(type(field_info.default)):
+                    self.defaults[preferred_alias] = field_info.default.model_dump()
+
+    def get_field_value(self, field: FieldInfo, field_name: str) -> tuple[Any, str, bool]:
+        # Nothing to do here. Only implement the return statement to make mypy happy
+        return None, '', False
+
+    def __call__(self) -> dict[str, Any]:
+        return self.defaults
+
+    def __repr__(self) -> str:
+        return (
+            f'{self.__class__.__name__}(nested_model_default_partial_update={self.nested_model_default_partial_update})'
+        )
+
+
+class InitSettingsSource(PydanticBaseSettingsSource):
+    """
+    Source class for loading values provided during settings class initialization.
+    """
+
+    def __init__(
+        self,
+        settings_cls: type[BaseSettings],
+        init_kwargs: dict[str, Any],
+        nested_model_default_partial_update: bool | None = None,
+        _init_state: InitState | None = None,
+    ):
+        super().__init__(settings_cls, _init_state)
+        case_sensitive = self.config.get('case_sensitive', False)
+        include_name = self.config.get('populate_by_name', False) or self.config.get('validate_by_name', False)
+
+        def normalize(name: str) -> str:
+            # When case_sensitive is False, matching is done on lower-cased names.
+            return name if case_sensitive else name.lower()
+
+        self.init_kwargs = {}
+        init_kwarg_names = set(init_kwargs.keys())
+        # Map each normalized name to all provided keys sharing it, so field aliases can
+        # be matched without losing the original key used to look up the value. A 1-to-many
+        # mapping is required because case_sensitive=False can collapse distinct keys
+        # (e.g. ``TeSt`` and ``TEST``) onto the same normalized name.
+        normalized_provided: dict[str, list[str]] = {}
+        for key in init_kwargs:
+            normalized_provided.setdefault(normalize(key), []).append(key)
+        for field_name, field_info in settings_cls.model_fields.items():
+            _warn_if_field_info_incomplete(field_info, field_name, self._init_state)
+            # Canonical (case-preserving) alias names determine the output key, so the value
+            # still matches pydantic's validation aliases, which are always case-sensitive.
+            canonical_alias_names, *_ = _get_alias_names(field_name, field_info)
+            # Match alias names respect case_sensitive when matching against provided keys.
+            match_alias_names, *_ = _get_alias_names(field_name, field_info, case_sensitive=case_sensitive)
+            # When populate_by_name is True, allow using the field name as an input key,
+            # but normalize to the preferred alias to keep keys consistent across sources.
+            matchable_names = list(match_alias_names)
+            if include_name:
+                name = normalize(field_name)
+                if name not in matchable_names:
+                    matchable_names.append(name)
+            # All provided keys matching this field, in matchable_names preference order
+            # (aliases first, then the field name). Only keys not yet consumed by an
+            # earlier field are considered.
+            matched_keys = [
+                original
+                for name in matchable_names
+                if name in normalized_provided
+                for original in normalized_provided[name]
+                if original in init_kwarg_names
+            ]
+            if matched_keys:
+                preferred_alias = canonical_alias_names[0] if canonical_alias_names else field_name
+                # Prefer the first match in preference order; drop the remaining matches
+                # so they are not re-added as extras.
+                init_kwarg_names.difference_update(matched_keys)
+                self.init_kwargs[preferred_alias] = init_kwargs[matched_keys[0]]
+        # Include any remaining init kwargs (e.g., extras) unchanged
+        # Note: If populate_by_name is True and the provided key is the field name, but
+        # no alias exists, we keep it as-is so it can be processed as extra if allowed.
+        self.init_kwargs.update({key: val for key, val in init_kwargs.items() if key in init_kwarg_names})
+
+        self.nested_model_default_partial_update = (
+            nested_model_default_partial_update
+            if nested_model_default_partial_update is not None
+            else self.config.get('nested_model_default_partial_update', False)
+        )
+
+    def get_field_value(self, field: FieldInfo, field_name: str) -> tuple[Any, str, bool]:
+        # Nothing to do here. Only implement the return statement to make mypy happy
+        return None, '', False
+
+    def __call__(self) -> dict[str, Any]:
+        return (
+            TypeAdapter(dict[str, Any]).dump_python(self.init_kwargs)
+            if self.nested_model_default_partial_update
+            else self.init_kwargs
+        )
+
+    def __repr__(self) -> str:
+        return f'{self.__class__.__name__}(init_kwargs={self.init_kwargs!r})'
+
+
+class PydanticBaseEnvSettingsSource(PydanticBaseSettingsSource):
+    def __init__(
+        self,
+        settings_cls: type[BaseSettings],
+        case_sensitive: bool | None = None,
+        env_prefix: str | None = None,
+        env_prefix_target: EnvPrefixTarget | None = None,
+        env_ignore_empty: bool | None = None,
+        env_parse_none_str: str | None = None,
+        env_parse_enums: bool | None = None,
+        _init_state: InitState | None = None,
+    ) -> None:
+        super().__init__(settings_cls, _init_state)
+        self.case_sensitive = case_sensitive if case_sensitive is not None else self.config.get('case_sensitive', False)
+        self.env_prefix = env_prefix if env_prefix is not None else self.config.get('env_prefix', '')
+        self.env_prefix_target = (
+            env_prefix_target if env_prefix_target is not None else self.config.get('env_prefix_target', 'variable')
+        )
+        self.env_ignore_empty = (
+            env_ignore_empty if env_ignore_empty is not None else self.config.get('env_ignore_empty', False)
+        )
+        self.env_parse_none_str = (
+            env_parse_none_str if env_parse_none_str is not None else self.config.get('env_parse_none_str')
+        )
+        self.env_parse_enums = env_parse_enums if env_parse_enums is not None else self.config.get('env_parse_enums')
+
+    def _apply_case_sensitive(self, value: str) -> str:
+        return value.lower() if not self.case_sensitive else value
+
+    def _extract_field_info(self, field: FieldInfo, field_name: str) -> list[tuple[str, str, bool]]:
+        """
+        Extracts field info. This info is used to get the value of field from environment variables.
+
+        It returns a list of tuples, each tuple contains:
+            * field_key: The key of field that has to be used in model creation.
+            * env_name: The environment variable name of the field.
+            * value_is_complex: A flag to determine whether the value from environment variable
+              is complex and has to be parsed.
+
+        Args:
+            field (FieldInfo): The field.
+            field_name (str): The field name.
+
+        Returns:
+            list[tuple[str, str, bool]]: List of tuples, each tuple contains field_key, env_name, and value_is_complex.
+        """
+        _warn_if_field_info_incomplete(field, field_name, self._init_state)
+        field_info: list[tuple[str, str, bool]] = []
+        if isinstance(field.validation_alias, (AliasChoices, AliasPath)):
+            v_alias: str | list[str | int] | list[list[str | int]] | None = field.validation_alias.convert_to_aliases()
+        else:
+            v_alias = field.validation_alias
+
+        if v_alias:
+            env_prefix = self.env_prefix if self.env_prefix_target in ('alias', 'all') else ''
+            if isinstance(v_alias, list):  # AliasChoices, AliasPath
+                for alias in v_alias:
+                    if isinstance(alias, str):  # AliasPath
+                        field_info.append((alias, self._apply_case_sensitive(env_prefix + alias), len(alias) > 1))
+                    elif isinstance(alias, list):  # AliasChoices
+                        first_arg = cast(str, alias[0])  # first item of an AliasChoices must be a str
+                        field_info.append(
+                            (
+                                first_arg,
+                                self._apply_case_sensitive(env_prefix + first_arg),
+                                len(alias) > 1,
+                            )
+                        )
+            else:  # string validation alias
+                field_info.append((v_alias, self._apply_case_sensitive(env_prefix + v_alias), False))
+
+        if not v_alias or self.config.get('populate_by_name', False) or self.config.get('validate_by_name', False):
+            annotation = _strip_annotated(_resolve_type_alias(field.annotation))
+            env_prefix = self.env_prefix if self.env_prefix_target in ('variable', 'all') else ''
+            if is_union_origin(get_origin(annotation)) and _union_is_complex(
+                annotation, field.metadata, self._init_state
+            ):
+                field_info.append((field_name, self._apply_case_sensitive(env_prefix + field_name), True))
+            else:
+                field_info.append((field_name, self._apply_case_sensitive(env_prefix + field_name), False))
+
+        return field_info
+
+    def _replace_field_names_case_insensitively(self, field: FieldInfo, field_values: dict[str, Any]) -> dict[str, Any]:
+        """
+        Replace field names in values dict by looking in models fields insensitively.
+
+        By having the following models:
+
+            ```py
+            class SubSubSub(BaseModel):
+                VaL3: str
+
+            class SubSub(BaseModel):
+                Val2: str
+                SUB_sub_SuB: SubSubSub
+
+            class Sub(BaseModel):
+                VAL1: str
+                SUB_sub: SubSub
+
+            class Settings(BaseSettings):
+                nested: Sub
+
+                model_config = SettingsConfigDict(env_nested_delimiter='__')
+            ```
+
+        Then:
+            _replace_field_names_case_insensitively(
+                field,
+                {"val1": "v1", "sub_SUB": {"VAL2": "v2", "sub_SUB_sUb": {"vAl3": "v3"}}}
+            )
+            Returns {'VAL1': 'v1', 'SUB_sub': {'Val2': 'v2', 'SUB_sub_SuB': {'VaL3': 'v3'}}}
+        """
+        values: dict[str, Any] = {}
+
+        for name, value in field_values.items():
+            sub_model_field: FieldInfo | None = None
+
+            annotation = _unwrap_optional_annotation(field.annotation)
+
+            # This is here to make mypy happy
+            # Item "None" of "Optional[Type[Any]]" has no attribute "model_fields"
+            if not annotation or not hasattr(annotation, 'model_fields'):
+                values[name] = value
+                continue
+            else:
+                model_fields: dict[str, FieldInfo] = annotation.model_fields
+
+            # Find field in sub model by looking in fields case insensitively
+            field_key: str | None = None
+            for sub_model_field_name, sub_model_field in model_fields.items():
+                _warn_if_field_info_incomplete(sub_model_field, sub_model_field_name, self._init_state)
+                aliases, _ = _get_alias_names(sub_model_field_name, sub_model_field)
+                _search = (alias for alias in aliases if alias.lower() == name.lower())
+                if field_key := next(_search, None):
+                    break
+
+            if not field_key:
+                values[name] = value
+                continue
+
+            if (
+                sub_model_field is not None
+                and _lenient_issubclass(_unwrap_optional_annotation(sub_model_field.annotation), BaseModel)
+                and isinstance(value, dict)
+            ):
+                values[field_key] = self._replace_field_names_case_insensitively(sub_model_field, value)
+            else:
+                values[field_key] = value
+
+        return values
+
+    def _replace_env_none_type_values(self, field_value: dict[str, Any]) -> dict[str, Any]:
+        """
+        Recursively parse values that are of "None" type(EnvNoneType) to `None` type(None).
+        """
+        values: dict[str, Any] = {}
+
+        for key, value in field_value.items():
+            if not isinstance(value, EnvNoneType):
+                values[key] = value if not isinstance(value, dict) else self._replace_env_none_type_values(value)
+            else:
+                values[key] = None
+
+        return values
+
+    def _get_resolved_field_value(self, field: FieldInfo, field_name: str) -> tuple[Any, str, bool]:
+        """
+        Gets the value, the preferred alias key for model creation, and a flag to determine whether value
+        is complex.
+
+        Note:
+            In V3, this method should either be made public, or, this method should be removed and the
+            abstract method get_field_value should be updated to include a "use_preferred_alias" flag.
+
+        Args:
+            field: The field.
+            field_name: The field name.
+
+        Returns:
+            A tuple that contains the value, preferred key and a flag to determine whether value is complex.
+        """
+        field_value, field_key, value_is_complex = self.get_field_value(field, field_name)
+        if not (
+            value_is_complex
+            or (
+                (self.config.get('populate_by_name', False) or self.config.get('validate_by_name', False))
+                and (field_key == field_name)
+            )
+        ):
+            field_infos = self._extract_field_info(field, field_name)
+            preferred_key, _, preferred_is_complex = field_infos[0]
+            # Only normalize to preferred_key when it's a simple string alias.
+            # When the preferred key comes from an AliasPath (complex entry), skip normalization
+            # to avoid using the AliasPath's first element as the key (see #766).
+            if not preferred_is_complex:
+                return field_value, preferred_key, value_is_complex
+        return field_value, field_key, value_is_complex
+
+    def __call__(self) -> dict[str, Any]:
+        data: dict[str, Any] = {}
+
+        for field_name, field in self.settings_cls.model_fields.items():
+            _warn_if_field_info_incomplete(field, field_name, self._init_state)
+            try:
+                field_value, field_key, value_is_complex = self._get_resolved_field_value(field, field_name)
+            except Exception as e:
+                raise SettingsError(
+                    f'error getting value for field "{field_name}" from source "{self.__class__.__name__}"'
+                ) from e
+
+            try:
+                field_value = self.prepare_field_value(field_name, field, field_value, value_is_complex)
+            except ValueError as e:
+                raise SettingsError(
+                    f'error parsing value for field "{field_name}" from source "{self.__class__.__name__}"'
+                ) from e
+
+            if field_value is not None:
+                if self.env_parse_none_str is not None:
+                    if isinstance(field_value, dict):
+                        field_value = self._replace_env_none_type_values(field_value)
+                    elif isinstance(field_value, EnvNoneType):
+                        field_value = None
+                if (
+                    not self.case_sensitive
+                    # and _lenient_issubclass(field.annotation, BaseModel)
+                    and isinstance(field_value, dict)
+                ):
+                    data[field_key] = self._replace_field_names_case_insensitively(field, field_value)
+                else:
+                    data[field_key] = field_value
+
+        return data
+
+
+__all__ = [
+    'ConfigFileSourceMixin',
+    'DefaultSettingsSource',
+    'InitSettingsSource',
+    'PydanticBaseEnvSettingsSource',
+    'PydanticBaseSettingsSource',
+    'SettingsError',
+]

source/target-vendors/cp312/pydantic_settings/sources/providers/__init__.py

@@ -0,0 +1,45 @@
+"""Package containing individual source implementations."""
+
+from .aws import AWSSecretsManagerSettingsSource
+from .azure import AzureKeyVaultSettingsSource
+from .cli import (
+    CliDualFlag,
+    CliExplicitFlag,
+    CliImplicitFlag,
+    CliMutuallyExclusiveGroup,
+    CliPositionalArg,
+    CliSettingsSource,
+    CliSubCommand,
+    CliSuppress,
+    CliToggleFlag,
+)
+from .dotenv import DotEnvSettingsSource
+from .env import EnvSettingsSource
+from .gcp import GoogleSecretManagerSettingsSource
+from .json import JsonConfigSettingsSource
+from .pyproject import PyprojectTomlConfigSettingsSource
+from .secrets import SecretsSettingsSource
+from .toml import TomlConfigSettingsSource
+from .yaml import YamlConfigSettingsSource
+
+__all__ = [
+    'AWSSecretsManagerSettingsSource',
+    'AzureKeyVaultSettingsSource',
+    'CliDualFlag',
+    'CliExplicitFlag',
+    'CliImplicitFlag',
+    'CliMutuallyExclusiveGroup',
+    'CliPositionalArg',
+    'CliSettingsSource',
+    'CliSubCommand',
+    'CliSuppress',
+    'CliToggleFlag',
+    'DotEnvSettingsSource',
+    'EnvSettingsSource',
+    'GoogleSecretManagerSettingsSource',
+    'JsonConfigSettingsSource',
+    'PyprojectTomlConfigSettingsSource',
+    'SecretsSettingsSource',
+    'TomlConfigSettingsSource',
+    'YamlConfigSettingsSource',
+]

source/target-vendors/cp312/pydantic_settings/sources/providers/aws.py

@@ -0,0 +1,87 @@
+from __future__ import annotations as _annotations  # important for BaseSettings import to work
+
+import json
+from collections.abc import Mapping
+from typing import TYPE_CHECKING
+
+from ..utils import InitState, parse_env_vars
+from .env import EnvSettingsSource
+
+if TYPE_CHECKING:
+    from types_boto3_secretsmanager.client import SecretsManagerClient
+
+    from pydantic_settings.main import BaseSettings
+
+
+boto3_client = None
+
+
+def import_aws_secrets_manager() -> None:
+    global boto3_client
+
+    try:
+        from boto3 import client as boto3_client
+    except ImportError as e:  # pragma: no cover
+        raise ImportError(
+            'AWS Secrets Manager dependencies are not installed, run `pip install pydantic-settings[aws-secrets-manager]`'
+        ) from e
+
+
+class AWSSecretsManagerSettingsSource(EnvSettingsSource):
+    _secret_id: str
+    _secretsmanager_client: SecretsManagerClient
+
+    def __init__(
+        self,
+        settings_cls: type[BaseSettings],
+        secret_id: str,
+        region_name: str | None = None,
+        endpoint_url: str | None = None,
+        case_sensitive: bool | None = True,
+        env_prefix: str | None = None,
+        env_nested_delimiter: str | None = '--',
+        env_parse_none_str: str | None = None,
+        env_parse_enums: bool | None = None,
+        version_id: str | None = None,
+        _init_state: InitState | None = None,
+    ) -> None:
+        import_aws_secrets_manager()
+        self._secretsmanager_client = boto3_client('secretsmanager', region_name=region_name, endpoint_url=endpoint_url)  # type: ignore
+        self._secret_id = secret_id
+        self._version_id = version_id
+        super().__init__(
+            settings_cls,
+            case_sensitive=case_sensitive,
+            env_prefix=env_prefix,
+            env_nested_delimiter=env_nested_delimiter,
+            env_ignore_empty=False,
+            env_parse_none_str=env_parse_none_str,
+            env_parse_enums=env_parse_enums,
+            _init_state=_init_state,
+        )
+
+    def _load_env_vars(self) -> Mapping[str, str | None]:
+        request = {'SecretId': self._secret_id}
+
+        if self._version_id:
+            request['VersionId'] = self._version_id
+
+        response = self._secretsmanager_client.get_secret_value(**request)
+
+        return parse_env_vars(
+            json.loads(response['SecretString']),
+            self.case_sensitive,
+            self.env_ignore_empty,
+            self.env_parse_none_str,
+        )
+
+    def __repr__(self) -> str:
+        return (
+            f'{self.__class__.__name__}(secret_id={self._secret_id!r}, '
+            f'env_nested_delimiter={self.env_nested_delimiter!r})'
+        )
+
+
+__all__ = [
+    'AWSSecretsManagerSettingsSource',
+]

source/target-vendors/cp312/pydantic_settings/sources/providers/azure.py

@@ -0,0 +1,162 @@
+"""Azure Key Vault settings source."""
+
+from __future__ import annotations as _annotations
+
+from collections.abc import Iterator, Mapping
+from typing import TYPE_CHECKING
+
+from pydantic.alias_generators import to_snake
+from pydantic.fields import FieldInfo
+
+from ..utils import InitState
+from .env import EnvSettingsSource
+
+if TYPE_CHECKING:
+    from azure.core.credentials import TokenCredential
+    from azure.core.exceptions import ResourceNotFoundError
+    from azure.keyvault.secrets import SecretClient
+
+    from pydantic_settings.main import BaseSettings
+else:
+    TokenCredential = None
+    ResourceNotFoundError = None
+    SecretClient = None
+
+
+def import_azure_key_vault() -> None:
+    global TokenCredential
+    global SecretClient
+    global ResourceNotFoundError
+
+    try:
+        from azure.core.credentials import TokenCredential
+        from azure.core.exceptions import ResourceNotFoundError
+        from azure.keyvault.secrets import SecretClient
+    except ImportError as e:  # pragma: no cover
+        raise ImportError(
+            'Azure Key Vault dependencies are not installed, run `pip install pydantic-settings[azure-key-vault]`'
+        ) from e
+
+
+class AzureKeyVaultMapping(Mapping[str, str | None]):
+    _loaded_secrets: dict[str, str | None]
+    _secret_client: SecretClient
+    _secret_names: list[str]
+
+    def __init__(
+        self,
+        secret_client: SecretClient,
+        case_sensitive: bool,
+        snake_case_conversion: bool,
+        env_prefix: str | None,
+    ) -> None:
+        self._loaded_secrets = {}
+        self._secret_client = secret_client
+        self._case_sensitive = case_sensitive
+        self._snake_case_conversion = snake_case_conversion
+        self._env_prefix = env_prefix if env_prefix else ''
+        self._secret_map: dict[str, str] = self._load_remote()
+
+    def _load_remote(self) -> dict[str, str]:
+        secret_names: Iterator[str] = (
+            secret.name for secret in self._secret_client.list_properties_of_secrets() if secret.name and secret.enabled
+        )
+
+        if self._snake_case_conversion:
+            name_map: dict[str, str] = {}
+            for name in secret_names:
+                if name.startswith(self._env_prefix):
+                    name_map[f'{self._env_prefix}{to_snake(name[len(self._env_prefix) :])}'] = name
+                else:
+                    name_map[to_snake(name)] = name
+            return name_map
+
+        if self._case_sensitive:
+            return {name: name for name in secret_names}
+
+        return {name.lower(): name for name in secret_names}
+
+    def __getitem__(self, key: str) -> str | None:
+        new_key = key
+
+        if self._snake_case_conversion:
+            if key.startswith(self._env_prefix):
+                new_key = f'{self._env_prefix}{to_snake(key[len(self._env_prefix) :])}'
+            else:
+                new_key = to_snake(key)
+
+        elif not self._case_sensitive:
+            new_key = key.lower()
+
+        if new_key not in self._loaded_secrets:
+            if new_key in self._secret_map:
+                self._loaded_secrets[new_key] = self._secret_client.get_secret(self._secret_map[new_key]).value
+            else:
+                raise KeyError(key)
+
+        return self._loaded_secrets[new_key]
+
+    def __len__(self) -> int:
+        return len(self._secret_map)
+
+    def __iter__(self) -> Iterator[str]:
+        return iter(self._secret_map.keys())
+
+
+class AzureKeyVaultSettingsSource(EnvSettingsSource):
+    _url: str
+    _credential: TokenCredential
+
+    def __init__(
+        self,
+        settings_cls: type[BaseSettings],
+        url: str,
+        credential: TokenCredential,
+        dash_to_underscore: bool = False,
+        case_sensitive: bool | None = None,
+        snake_case_conversion: bool = False,
+        env_prefix: str | None = None,
+        env_parse_none_str: str | None = None,
+        env_parse_enums: bool | None = None,
+        _init_state: InitState | None = None,
+    ) -> None:
+        import_azure_key_vault()
+        self._url = url
+        self._credential = credential
+        self._dash_to_underscore = dash_to_underscore
+        self._snake_case_conversion = snake_case_conversion
+        super().__init__(
+            settings_cls,
+            case_sensitive=True if snake_case_conversion else case_sensitive,
+            env_prefix=env_prefix,
+            env_nested_delimiter='__' if snake_case_conversion else '--',
+            env_ignore_empty=False,
+            env_parse_none_str=env_parse_none_str,
+            env_parse_enums=env_parse_enums,
+            _init_state=_init_state,
+        )
+
+    def _load_env_vars(self) -> Mapping[str, str | None]:
+        secret_client = SecretClient(vault_url=self._url, credential=self._credential)
+        return AzureKeyVaultMapping(
+            secret_client=secret_client,
+            case_sensitive=self.case_sensitive,
+            snake_case_conversion=self._snake_case_conversion,
+            env_prefix=self.env_prefix,
+        )
+
+    def _extract_field_info(self, field: FieldInfo, field_name: str) -> list[tuple[str, str, bool]]:
+        if self._snake_case_conversion:
+            field_info = [(x[0], x[1], x[2]) for x in super()._extract_field_info(field, field_name)]
+            return field_info
+
+        if self._dash_to_underscore:
+            return [(x[0], x[1].replace('_', '-'), x[2]) for x in super()._extract_field_info(field, field_name)]
+
+        return super()._extract_field_info(field, field_name)
+
+    def __repr__(self) -> str:
+        return f'{self.__class__.__name__}(url={self._url!r}, env_nested_delimiter={self.env_nested_delimiter!r})'
+
+
+__all__ = ['AzureKeyVaultMapping', 'AzureKeyVaultSettingsSource']

source/target-vendors/cp312/pydantic_settings/sources/providers/dotenv.py

@@ -0,0 +1,210 @@
+"""Dotenv file settings source."""
+
+from __future__ import annotations as _annotations
+
+import logging
+import os
+import warnings
+from collections.abc import Mapping
+from pathlib import Path
+from typing import TYPE_CHECKING, Any
+
+from dotenv import dotenv_values
+from pydantic._internal._typing_extra import (  # type: ignore[attr-defined]
+    get_origin,
+)
+from typing_inspection.introspection import is_union_origin
+
+from ...utils import _settings_debug_enabled, logger
+from ..types import ENV_FILE_SENTINEL, DotenvFiltering, DotenvType, EnvPrefixTarget
+from ..utils import (
+    InitState,
+    _annotation_is_complex,
+    _union_is_complex,
+    parse_env_vars,
+)
+from .env import EnvSettingsSource
+
+if TYPE_CHECKING:
+    from pydantic_settings.main import BaseSettings
+
+
+class DotEnvSettingsSource(EnvSettingsSource):
+    """
+    Source class for loading settings values from env files.
+    """
+
+    def __init__(
+        self,
+        settings_cls: type[BaseSettings],
+        env_file: DotenvType | None = ENV_FILE_SENTINEL,
+        env_file_encoding: str | None = None,
+        dotenv_filtering: DotenvFiltering | None = None,
+        case_sensitive: bool | None = None,
+        env_prefix: str | None = None,
+        env_prefix_target: EnvPrefixTarget | None = None,
+        env_nested_delimiter: str | None = None,
+        env_nested_max_split: int | None = None,
+        env_ignore_empty: bool | None = None,
+        env_parse_none_str: str | None = None,
+        env_parse_enums: bool | None = None,
+        _init_state: InitState | None = None,
+    ) -> None:
+        self.env_file = env_file if env_file != ENV_FILE_SENTINEL else settings_cls.model_config.get('env_file')
+        self.env_file_encoding = (
+            env_file_encoding if env_file_encoding is not None else settings_cls.model_config.get('env_file_encoding')
+        )
+        self.dotenv_filtering = (
+            dotenv_filtering if dotenv_filtering is not None else settings_cls.model_config.get('dotenv_filtering')
+        )
+        super().__init__(
+            settings_cls,
+            case_sensitive,
+            env_prefix,
+            env_prefix_target,
+            env_nested_delimiter,
+            env_nested_max_split,
+            env_ignore_empty,
+            env_parse_none_str,
+            env_parse_enums,
+            _init_state,
+        )
+
+    def _load_env_vars(self) -> Mapping[str, str | None]:
+        return self._read_env_files()
+
+    @staticmethod
+    def _static_read_env_file(
+        file_path: Path,
+        *,
+        encoding: str | None = None,
+        case_sensitive: bool = False,
+        ignore_empty: bool = False,
+        parse_none_str: str | None = None,
+    ) -> Mapping[str, str | None]:
+        file_vars: dict[str, str | None] = dotenv_values(file_path, encoding=encoding or 'utf8')
+        return parse_env_vars(file_vars, case_sensitive, ignore_empty, parse_none_str)
+
+    def _read_env_file(
+        self,
+        file_path: Path,
+    ) -> Mapping[str, str | None]:
+        return self._static_read_env_file(
+            file_path,
+            encoding=self.env_file_encoding,
+            case_sensitive=self.case_sensitive,
+            ignore_empty=self.env_ignore_empty,
+            parse_none_str=self.env_parse_none_str,
+        )
+
+    def _read_env_files(self) -> Mapping[str, str | None]:
+        env_files = self.env_file
+        if env_files is None:
+            return {}
+
+        if isinstance(env_files, (str, os.PathLike)):
+            env_files = [env_files]
+
+        debug = _settings_debug_enabled() and logger.isEnabledFor(logging.DEBUG)
+
+        dotenv_vars: dict[str, str | None] = {}
+        for env_file in env_files:
+            env_path = Path(env_file).expanduser()
+            if env_path.is_file() or env_path.is_fifo():
+                if debug:
+                    logger.debug('Loading env file: %s', env_path.resolve())
+                dotenv_vars.update(self._read_env_file(env_path))
+            elif debug:
+                logger.debug('Env file not found, skipping: %s', env_path.resolve())
+
+        return dotenv_vars
+
+    def __call__(self) -> dict[str, Any]:  # noqa: C901
+        data: dict[str, Any] = super().__call__()
+        if self.dotenv_filtering == 'only_existing':
+            # This case behaves like the EnvSettingsSource, only return existing fields
+            return data
+        if self.dotenv_filtering == 'match_prefix':
+            # In this case add all env vars that match the prefix, stripping the prefix.
+            prefix = self._apply_case_sensitive(self.env_prefix)
+            for env_name, env_value in self.env_vars.items():
+                if env_name.startswith(prefix):
+                    normalized_env_name = env_name[len(self.env_prefix) :]
+                    if (
+                        self.env_nested_delimiter
+                        and self.env_nested_delimiter in normalized_env_name
+                        and normalized_env_name.partition(self.env_nested_delimiter)[0] in data
+                    ):
+                        continue
+                    if normalized_env_name not in data:
+                        data[normalized_env_name] = env_value
+            return data
+
+        is_extra_allowed = self.config.get('extra') != 'forbid'
+
+        # As `extra` config is allowed in dotenv settings source, We have to
+        # update data with extra env variables from dotenv file.
+        for env_name, env_value in self.env_vars.items():
+            if not env_value or env_name in data or (self.env_prefix and env_name in self.settings_cls.model_fields):
+                continue
+            env_used = False
+            for field_name, field in self.settings_cls.model_fields.items():
+                for _, field_env_name, _ in self._extract_field_info(field, field_name):
+                    if env_name == field_env_name or (
+                        (
+                            _annotation_is_complex(field.annotation, field.metadata, self._init_state)
+                            or (
+                                is_union_origin(get_origin(field.annotation))
+                                and _union_is_complex(field.annotation, field.metadata, self._init_state)
+                            )
+                        )
+                        # A var only belongs to a complex field when it sits at the nested
+                        # delimiter boundary (`db<delim>...`, matching what explode_env_vars
+                        # consumes). A bare name-prefix match (e.g. `dbx_token` vs field `db`)
+                        # must not claim the var, otherwise it is silently dropped instead of
+                        # being kept as an extra.
+                        and self.env_nested_delimiter
+                        and env_name.startswith(f'{field_env_name}{self.env_nested_delimiter}')
+                    ):
+                        env_used = True
+                        break
+                if env_used:
+                    break
+            if not env_used:
+                if is_extra_allowed and env_name.startswith(self.env_prefix):
+                    # env_prefix should be respected and removed from the env_name
+                    normalized_env_name = env_name[len(self.env_prefix) :]
+                    data[normalized_env_name] = env_value
+                else:
+                    data[env_name] = env_value
+        return data
+
+    def __repr__(self) -> str:
+        return (
+            f'{self.__class__.__name__}(env_file={self.env_file!r}, env_file_encoding={self.env_file_encoding!r}, '
+            f'env_nested_delimiter={self.env_nested_delimiter!r}, env_prefix_len={self.env_prefix_len!r})'
+        )
+
+
+def read_env_file(
+    file_path: Path,
+    *,
+    encoding: str | None = None,
+    case_sensitive: bool = False,
+    ignore_empty: bool = False,
+    parse_none_str: str | None = None,
+) -> Mapping[str, str | None]:
+    warnings.warn(
+        'read_env_file will be removed in the next version, use DotEnvSettingsSource._static_read_env_file if you must',
+        DeprecationWarning,
+    )
+    return DotEnvSettingsSource._static_read_env_file(
+        file_path,
+        encoding=encoding,
+        case_sensitive=case_sensitive,
+        ignore_empty=ignore_empty,
+        parse_none_str=parse_none_str,
+    )
+
+
+__all__ = ['DotEnvSettingsSource', 'read_env_file']

source/target-vendors/cp312/pydantic_settings/sources/providers/env.py

@@ -0,0 +1,382 @@
+from __future__ import annotations as _annotations
+
+import json
+import os
+from collections.abc import Mapping
+from typing import (
+    TYPE_CHECKING,
+    Any,
+    get_args,
+    get_origin,
+)
+
+from pydantic import AliasChoices, AliasPath, Json, TypeAdapter, ValidationError
+from pydantic._internal._utils import deep_update, is_model_class
+from pydantic.dataclasses import is_pydantic_dataclass
+from pydantic.fields import FieldInfo
+from typing_inspection.introspection import is_union_origin
+
+from ...utils import _lenient_issubclass
+from ..base import PydanticBaseEnvSettingsSource
+from ..types import EnvNoneType, EnvPrefixTarget
+from ..utils import (
+    InitState,
+    _annotation_contains_types,
+    _annotation_enum_name_to_val,
+    _annotation_is_complex,
+    _get_model_fields,
+    _literal_has_numeric_enum,
+    _union_has_strict_types,
+    _union_is_complex,
+    parse_env_vars,
+)
+
+if TYPE_CHECKING:
+    from pydantic_settings.main import BaseSettings
+
+
+def _environ_is_case_insensitive() -> bool:
+    """Whether ``os.environ`` is the OS-backed, case-insensitive mapping (i.e. on Windows).
+
+    When ``os.environ`` has been replaced (e.g. patched to a plain ``dict`` in tests), the
+    requested case sensitivity is honored as-is.
+    """
+    return os.name == 'nt' and isinstance(os.environ, os._Environ)
+
+
+class EnvSettingsSource(PydanticBaseEnvSettingsSource):
+    """
+    Source class for loading settings values from environment variables.
+    """
+
+    def __init__(
+        self,
+        settings_cls: type[BaseSettings],
+        case_sensitive: bool | None = None,
+        env_prefix: str | None = None,
+        env_prefix_target: EnvPrefixTarget | None = None,
+        env_nested_delimiter: str | None = None,
+        env_nested_max_split: int | None = None,
+        env_ignore_empty: bool | None = None,
+        env_parse_none_str: str | None = None,
+        env_parse_enums: bool | None = None,
+        _init_state: InitState | None = None,
+    ) -> None:
+        super().__init__(
+            settings_cls,
+            case_sensitive,
+            env_prefix,
+            env_prefix_target,
+            env_ignore_empty,
+            env_parse_none_str,
+            env_parse_enums,
+            _init_state,
+        )
+        self.env_nested_delimiter = (
+            env_nested_delimiter if env_nested_delimiter is not None else self.config.get('env_nested_delimiter')
+        )
+        self.env_nested_max_split = (
+            env_nested_max_split if env_nested_max_split is not None else self.config.get('env_nested_max_split')
+        )
+        self.maxsplit = (self.env_nested_max_split or 0) - 1
+        self.env_prefix_len = len(self.env_prefix)
+
+        self.env_vars = self._load_env_vars()
+
+    def _load_env_vars(self) -> Mapping[str, str | None]:
+        # On Windows, ``os.environ`` is case-insensitive: variable names are normalized to
+        # upper-case and looked up regardless of case. Matching environment variables
+        # case-sensitively is therefore impossible, so we fall back to case-insensitive
+        # matching to avoid spurious "field required" errors (see #295). ``.env`` files do
+        # preserve case and are handled by ``DotEnvSettingsSource``, which overrides this method.
+        if self.case_sensitive and _environ_is_case_insensitive():
+            self.case_sensitive = False
+        return parse_env_vars(os.environ, self.case_sensitive, self.env_ignore_empty, self.env_parse_none_str)
+
+    def get_field_value(self, field: FieldInfo, field_name: str) -> tuple[Any, str, bool]:
+        """
+        Gets the value for field from environment variables and a flag to determine whether value is complex.
+
+        Args:
+            field: The field.
+            field_name: The field name.
+
+        Returns:
+            A tuple that contains the value (`None` if not found), key, and
+                a flag to determine whether value is complex.
+        """
+
+        env_val: str | None = None
+        for field_key, env_name, value_is_complex in self._extract_field_info(field, field_name):
+            env_val = self.env_vars.get(env_name)
+            if env_val is not None:
+                break
+
+        return env_val, field_key, value_is_complex
+
+    def prepare_field_value(self, field_name: str, field: FieldInfo, value: Any, value_is_complex: bool) -> Any:
+        """
+        Prepare value for the field.
+
+        * Extract value for nested field.
+        * Deserialize value to python object for complex field.
+
+        Args:
+            field: The field.
+            field_name: The field name.
+
+        Returns:
+            A tuple contains prepared value for the field.
+
+        Raises:
+            ValuesError: When There is an error in deserializing value for complex field.
+        """
+        is_complex, allow_parse_failure = self._field_is_complex(field)
+        if self.env_parse_enums:
+            enum_val = _annotation_enum_name_to_val(field.annotation, value)
+            value = value if enum_val is None else enum_val
+
+        if is_complex or value_is_complex:
+            if isinstance(value, EnvNoneType):
+                return value
+            elif value is None:
+                # field is complex but no value found so far, try explode_env_vars
+                env_val_built = self.explode_env_vars(field_name, field, self.env_vars)
+                if env_val_built:
+                    return env_val_built
+            else:
+                # field is complex and there's a value, decode that as JSON, then add explode_env_vars
+                try:
+                    value = self.decode_complex_value(field_name, field, value)
+                except ValueError:
+                    if not allow_parse_failure:
+                        raise
+
+                if isinstance(value, dict):
+                    return deep_update(value, self.explode_env_vars(field_name, field, self.env_vars))
+                else:
+                    return value
+        elif value is not None:
+            # simplest case, field is not complex, we only need to add the value if it was found
+            return self._coerce_env_val_strict(field, value)
+
+    def _matches_alias_path_head(self, field: FieldInfo | Any | None, key: str) -> bool:
+        """
+        Whether ``key`` matches the first element of a multi-part ``AliasPath`` on ``field``.
+
+        When a nested field is aliased via e.g. ``AliasPath('path', 0)``, the env value found
+        under ``path`` is a container that must be JSON-decoded before pydantic can navigate
+        into it (see #670). This mirrors the complexity that ``_extract_field_info`` already
+        reports for top-level ``AliasPath`` fields.
+
+        Args:
+            field: The field (or raw type) matched for ``key``.
+            key: The (case-normalized) env name segment matched for the field.
+
+        Returns:
+            Whether ``key`` is the head of a multi-element ``AliasPath``.
+        """
+        if not isinstance(field, FieldInfo):
+            return False
+        v_alias = field.validation_alias
+        paths: list[tuple[str | int, ...]] = []
+        if isinstance(v_alias, AliasPath):
+            paths.append(tuple(v_alias.path))
+        elif isinstance(v_alias, AliasChoices):
+            paths.extend(tuple(choice.path) for choice in v_alias.choices if isinstance(choice, AliasPath))
+        for path in paths:
+            head = path[0]
+            if len(path) > 1 and isinstance(head, str) and self._apply_case_sensitive(head) == key:
+                return True
+        return False
+
+    def _field_is_complex(self, field: FieldInfo) -> tuple[bool, bool]:
+        """
+        Find out if a field is complex, and if so whether JSON errors should be ignored
+        """
+        if self.field_is_complex(field):
+            allow_parse_failure = False
+        elif is_union_origin(get_origin(field.annotation)) and _union_is_complex(
+            field.annotation, field.metadata, self._init_state
+        ):
+            allow_parse_failure = True
+        else:
+            return False, False
+
+        return True, allow_parse_failure
+
+    # Default value of `case_sensitive` is `None`, because we don't want to break existing behavior.
+    # We have to change the method to a non-static method and use
+    # `self.case_sensitive` instead in V3.
+    def next_field(
+        self, field: FieldInfo | Any | None, key: str, case_sensitive: bool | None = None
+    ) -> FieldInfo | None:
+        """
+        Find the field in a sub model by key(env name)
+
+        By having the following models:
+
+            ```py
+            class SubSubModel(BaseSettings):
+                dvals: Dict
+
+            class SubModel(BaseSettings):
+                vals: list[str]
+                sub_sub_model: SubSubModel
+
+            class Cfg(BaseSettings):
+                sub_model: SubModel
+            ```
+
+        Then:
+            next_field(sub_model, 'vals') Returns the `vals` field of `SubModel` class
+            next_field(sub_model, 'sub_sub_model') Returns `sub_sub_model` field of `SubModel` class
+
+        Args:
+            field: The field.
+            key: The key (env name).
+            case_sensitive: Whether to search for key case sensitively.
+
+        Returns:
+            Field if it finds the next field otherwise `None`.
+        """
+        if not field:
+            return None
+
+        annotation = field.annotation if isinstance(field, FieldInfo) else field
+        for type_ in get_args(annotation):
+            type_has_key = self.next_field(type_, key, case_sensitive)
+            if type_has_key:
+                return type_has_key
+        if _lenient_issubclass(get_origin(annotation), dict):
+            # get value type if it's a dict
+            return get_args(annotation)[-1]
+        elif is_model_class(annotation) or is_pydantic_dataclass(annotation):  # type: ignore[arg-type]
+            fields = _get_model_fields(annotation)
+            # `case_sensitive is None` is here to be compatible with the old behavior.
+            # Has to be removed in V3.
+            for field_name, f in fields.items():
+                for _, env_name, _ in self._extract_field_info(f, field_name):
+                    if case_sensitive is None or case_sensitive:
+                        if field_name == key or env_name == key:
+                            return f
+                    elif field_name.lower() == key.lower() or env_name.lower() == key.lower():
+                        return f
+        return None
+
+    def explode_env_vars(self, field_name: str, field: FieldInfo, env_vars: Mapping[str, str | None]) -> dict[str, Any]:  # noqa: C901
+        """
+        Process env_vars and extract the values of keys containing env_nested_delimiter into nested dictionaries.
+
+        This is applied to a single field, hence filtering by env_var prefix.
+
+        Args:
+            field_name: The field name.
+            field: The field.
+            env_vars: Environment variables.
+
+        Returns:
+            A dictionary contains extracted values from nested env values.
+        """
+        if not self.env_nested_delimiter:
+            return {}
+
+        ann = field.annotation
+        is_dict = ann is dict or _lenient_issubclass(get_origin(ann), dict)
+
+        prefixes = [
+            f'{env_name}{self.env_nested_delimiter}' for _, env_name, _ in self._extract_field_info(field, field_name)
+        ]
+        result: dict[str, Any] = {}
+        for env_name, env_val in env_vars.items():
+            try:
+                prefix = next(prefix for prefix in prefixes if env_name.startswith(prefix))
+            except StopIteration:
+                continue
+            # we remove the prefix before splitting in case the prefix has characters in common with the delimiter
+            env_name_without_prefix = env_name[len(prefix) :]
+            *keys, last_key = env_name_without_prefix.split(self.env_nested_delimiter, self.maxsplit)
+            env_var = result
+            target_field: FieldInfo | None = field
+            for key in keys:
+                target_field = self.next_field(target_field, key, self.case_sensitive)
+                if isinstance(env_var, dict):
+                    env_var = env_var.setdefault(key, {})
+
+            # get proper field with last_key
+            target_field = self.next_field(target_field, last_key, self.case_sensitive)
+
+            # check if env_val maps to a complex field and if so, parse the env_val
+            if (target_field or is_dict) and env_val:
+                if isinstance(target_field, FieldInfo):
+                    is_complex, allow_json_failure = self._field_is_complex(target_field)
+                    if not is_complex and self._matches_alias_path_head(target_field, last_key):
+                        # The env value sits under an AliasPath head (e.g. AliasPath('path', 0));
+                        # decode it so pydantic can navigate into the container (see #670).
+                        is_complex, allow_json_failure = True, True
+                    if self.env_parse_enums:
+                        enum_val = _annotation_enum_name_to_val(target_field.annotation, env_val)
+                        env_val = env_val if enum_val is None else enum_val
+                elif target_field:
+                    # target_field is a raw type (e.g. from dict value type annotation)
+                    is_complex = _annotation_is_complex(target_field, [], self._init_state)
+                    allow_json_failure = True
+                else:
+                    # nested field type is dict
+                    is_complex, allow_json_failure = True, True
+                if is_complex:
+                    try:
+                        field_info = target_field if isinstance(target_field, FieldInfo) else None
+                        env_val = self.decode_complex_value(last_key, field_info, env_val)  # type: ignore
+                    except ValueError:
+                        if not allow_json_failure:
+                            raise
+            if isinstance(env_var, dict) and (
+                last_key not in env_var or not isinstance(env_val, EnvNoneType) or env_var[last_key] == {}
+            ):
+                env_var[last_key] = self._coerce_env_val_strict(target_field, env_val)
+        return result
+
+    def _coerce_env_val_strict(self, field: FieldInfo | None, value: Any) -> Any:
+        """
+        Coerce environment string values based on field annotation if model config is `strict=True`
+        or if the field annotation contains strict-annotated types (e.g. Optional[StrictBool]).
+
+        Args:
+            field: The field.
+            value: The value to coerce.
+
+        Returns:
+            The coerced value if successful, otherwise the original value.
+        """
+        try:
+            should_coerce = self.config.get('strict')
+            if not should_coerce and isinstance(field, FieldInfo):
+                should_coerce = (
+                    is_union_origin(get_origin(field.annotation)) and _union_has_strict_types(field.annotation)
+                ) or _literal_has_numeric_enum(field.annotation)
+            if should_coerce and isinstance(value, str) and isinstance(field, FieldInfo):
+                if value == self.env_parse_none_str:
+                    return value
+                if not _annotation_contains_types(field.annotation, (Json,), is_instance=True):
+                    try:
+                        return TypeAdapter(field.annotation).validate_python(value)
+                    except ValidationError:
+                        # Try JSON decoding as fallback (e.g. 'true' -> True for StrictBool)
+                        decoded = json.loads(value)
+                        if not isinstance(decoded, str):
+                            return TypeAdapter(field.annotation).validate_python(decoded)
+                        raise
+        except (ValidationError, json.JSONDecodeError):
+            # Allow validation error to be raised at time of instantiation
+            pass
+        return value
+
+    def __repr__(self) -> str:
+        return (
+            f'{self.__class__.__name__}(env_nested_delimiter={self.env_nested_delimiter!r}, '
+            f'env_prefix_len={self.env_prefix_len!r})'
+        )
+
+
+__all__ = ['EnvSettingsSource']

source/target-vendors/cp312/pydantic_settings/sources/providers/gcp.py

@@ -0,0 +1,349 @@
+from __future__ import annotations as _annotations
+
+import warnings
+from collections.abc import Iterator, Mapping
+from functools import cached_property
+from typing import TYPE_CHECKING, Any
+
+from pydantic.fields import FieldInfo
+
+from ...exceptions import SettingsError
+from ..types import SecretVersion
+from ..utils import InitState
+from .env import EnvSettingsSource
+
+if TYPE_CHECKING:
+    from google.auth import default as google_auth_default
+    from google.auth.credentials import Credentials
+    from google.cloud.secretmanager import SecretManagerServiceClient
+
+    from pydantic_settings.main import BaseSettings
+else:
+    Credentials = None
+    SecretManagerServiceClient = None
+    google_auth_default = None
+
+
+def import_gcp_secret_manager() -> None:
+    global Credentials
+    global SecretManagerServiceClient
+    global google_auth_default
+
+    try:
+        from google.auth import default as google_auth_default
+        from google.auth.credentials import Credentials
+
+        with warnings.catch_warnings():
+            warnings.filterwarnings('ignore', category=FutureWarning)
+            from google.cloud.secretmanager import SecretManagerServiceClient
+    except ImportError as e:  # pragma: no cover
+        raise ImportError(
+            'GCP Secret Manager dependencies are not installed, run `pip install pydantic-settings[gcp-secret-manager]`'
+        ) from e
+
+
+def _is_not_found_error(exc: Exception) -> bool:
+    try:
+        from google.api_core.exceptions import NotFound
+
+        return isinstance(exc, NotFound)
+    except ImportError:
+        return False
+
+
+class GoogleSecretManagerMapping(Mapping[str, str | None]):
+    _loaded_secrets: dict[str, str | None]
+    _secret_client: SecretManagerServiceClient
+
+    def __init__(self, secret_client: SecretManagerServiceClient, project_id: str, case_sensitive: bool) -> None:
+        self._loaded_secrets = {}
+        self._secret_client = secret_client
+        self._project_id = project_id
+        self._case_sensitive = case_sensitive
+
+    @property
+    def _gcp_project_path(self) -> str:
+        return self._secret_client.common_project_path(self._project_id)
+
+    def _select_case_insensitive_secret(self, lower_name: str, candidates: list[str]) -> str:
+        if len(candidates) == 1:
+            return candidates[0]
+
+        # Sort to ensure deterministic selection (prefer lowercase / ASCII last)
+        candidates.sort()
+        winner = candidates[-1]
+        warnings.warn(
+            f"Secret collision: Found multiple secrets {candidates} normalizing to '{lower_name}'. "
+            f"Using '{winner}' for case-insensitive lookup.",
+            UserWarning,
+            stacklevel=2,
+        )
+        return winner
+
+    @cached_property
+    def _secret_name_map(self) -> dict[str, str]:
+        mapping: dict[str, str] = {}
+        # Group secrets by normalized name to detect collisions
+        normalized_groups: dict[str, list[str]] = {}
+
+        secrets = self._secret_client.list_secrets(parent=self._gcp_project_path)
+        for secret in secrets:
+            name = self._secret_client.parse_secret_path(secret.name).get('secret', '')
+            mapping[name] = name
+
+            if not self._case_sensitive:
+                lower_name = name.lower()
+                if lower_name not in normalized_groups:
+                    normalized_groups[lower_name] = []
+                normalized_groups[lower_name].append(name)
+
+        if not self._case_sensitive:
+            for lower_name, candidates in normalized_groups.items():
+                mapping[lower_name] = self._select_case_insensitive_secret(lower_name, candidates)
+
+        return mapping
+
+    @property
+    def _secret_names(self) -> list[str]:
+        return list(self._secret_name_map.keys())
+
+    def _secret_version_path(self, key: str, version: str = 'latest') -> str:
+        return self._secret_client.secret_version_path(self._project_id, key, version)
+
+    def _get_secret_value(self, gcp_secret_name: str, version: str = 'latest') -> str | None:
+        try:
+            return self._secret_client.access_secret_version(
+                name=self._secret_version_path(gcp_secret_name, version)
+            ).payload.data.decode('UTF-8')
+        except Exception:
+            return None
+
+    def _get_secret_value_or_raise(self, gcp_secret_name: str) -> str | None:
+        try:
+            return self._secret_client.access_secret_version(
+                name=self._secret_version_path(gcp_secret_name)
+            ).payload.data.decode('UTF-8')
+        except Exception as e:
+            if _is_not_found_error(e):
+                raise KeyError(gcp_secret_name) from e
+            return None
+
+    def __getitem__(self, key: str) -> str | None:
+        if key in self._loaded_secrets:
+            return self._loaded_secrets[key]
+
+        if self._case_sensitive:
+            self._loaded_secrets[key] = self._get_secret_value_or_raise(key)
+            return self._loaded_secrets[key]
+
+        gcp_secret_name = self._secret_name_map.get(key)
+        if gcp_secret_name is None:
+            gcp_secret_name = self._secret_name_map.get(key.lower())
+
+        if gcp_secret_name:
+            self._loaded_secrets[key] = self._get_secret_value(gcp_secret_name)
+        else:
+            raise KeyError(key)
+
+        return self._loaded_secrets[key]
+
+    def __len__(self) -> int:
+        return len(self._secret_names)
+
+    def __iter__(self) -> Iterator[str]:
+        return iter(self._secret_names)
+
+
+class GoogleSecretManagerSettingsSource(EnvSettingsSource):
+    _credentials: Credentials | None
+    _secret_client: SecretManagerServiceClient | None
+    _project_id: str | None
+    _explicit_project_id: str | None
+
+    def __init__(
+        self,
+        settings_cls: type[BaseSettings],
+        credentials: Credentials | None = None,
+        project_id: str | None = None,
+        env_prefix: str | None = None,
+        env_parse_none_str: str | None = None,
+        env_parse_enums: bool | None = None,
+        secret_client: SecretManagerServiceClient | None = None,
+        case_sensitive: bool | None = True,
+        project_id_field: str = 'project_id',
+        _init_state: InitState | None = None,
+    ) -> None:
+        """Settings source that reads secrets from Google Cloud Secret Manager.
+
+        Args:
+            project_id: The GCP project to read secrets from. If not provided, it is
+                resolved lazily (see below).
+            project_id_field: The key, populated by a previous (higher priority)
+                settings source, to use as the ``project_id`` when one is not passed
+                explicitly. This must match the key used in ``current_state`` by the
+                previous source (typically the field name or its preferred alias).
+                For example, with ``some_field: str = Field(alias='GCP_PROJECT')``,
+                previous env sources will expose the value under ``'GCP_PROJECT'``.
+                Defaults to ``'project_id'``.
+
+        The ``project_id`` is resolved lazily in :meth:`__call__` rather than at
+        construction time so that it can be sourced from settings resolved by previous
+        sources (only available via ``current_state`` once the source is called).
+        Resolution order is:
+
+        1. the explicit ``project_id`` argument
+        2. the ``project_id_field`` value from previous settings sources
+        3. ``google.auth.default()``
+        """
+        # Import Google Packages if they haven't already been imported
+        if SecretManagerServiceClient is None or Credentials is None or google_auth_default is None:
+            import_gcp_secret_manager()
+
+        # Resolution is deferred to __call__ (see _resolve_gcp_project / _load_env_vars).
+        # _explicit_project_id is the immutable user input; _project_id is the resolved
+        # value and is written exclusively by _resolve_gcp_project.
+        self._explicit_project_id = project_id
+        self._project_id = None
+        self._credentials = credentials
+        self._secret_client = secret_client
+        self._project_id_field = project_id_field
+        self._env_vars_loaded = False
+
+        super().__init__(
+            settings_cls,
+            case_sensitive=case_sensitive,
+            env_prefix=env_prefix,
+            env_ignore_empty=False,
+            env_parse_none_str=env_parse_none_str,
+            env_parse_enums=env_parse_enums,
+            _init_state=_init_state,
+        )
+        # __init__ is past; subsequent _load_env_vars() calls may now resolve the project.
+        self._env_vars_loaded = True
+
+    def get_field_value(self, field: FieldInfo, field_name: str) -> tuple[Any, str, bool]:
+        """Override get_field_value to get the secret value from GCP Secret Manager.
+        Look for a SecretVersion metadata field to specify a particular SecretVersion.
+
+        Args:
+            field: The field to get the value for
+            field_name: The declared name of the field
+
+        Returns:
+            A tuple of (value, key, value_is_complex), where `key` is the identifier used
+            to populate the model (either the field name or an alias, depending on
+            configuration).
+        """
+
+        secret_version = next((m.version for m in field.metadata if isinstance(m, SecretVersion)), None)
+
+        # If a secret version is specified, try to get that specific version of the secret from
+        # GCP Secret Manager via the GoogleSecretManagerMapping. This allows different versions
+        # of the same secret name to be retrieved independently and cached in the GoogleSecretManagerMapping
+        if secret_version and isinstance(self.env_vars, GoogleSecretManagerMapping):
+            for field_key, env_name, value_is_complex in self._extract_field_info(field, field_name):
+                if self.case_sensitive:
+                    gcp_secret_name: str | None = env_name
+                else:
+                    gcp_secret_name = self.env_vars._secret_name_map.get(env_name)
+                    if gcp_secret_name is None:
+                        gcp_secret_name = self.env_vars._secret_name_map.get(env_name.lower())
+
+                if gcp_secret_name:
+                    env_val = self.env_vars._get_secret_value(gcp_secret_name, secret_version)
+                    if env_val is not None:
+                        # If populate_by_name is enabled, return field_name to allow multiple fields
+                        # with the same alias but different versions to be distinguished
+                        if self.settings_cls.model_config.get('populate_by_name'):
+                            return env_val, field_name, value_is_complex
+                        return env_val, field_key, value_is_complex
+
+            # If a secret version is specified but not found, we should not fall back to "latest" (default behavior)
+            # as that would be incorrect. We return None to indicate the value was not found.
+            return None, field_name, False
+
+        val, key, is_complex = super().get_field_value(field, field_name)
+
+        # If populate_by_name is enabled, we need to return the field_name as the key
+        # without this being enabled, you cannot load two secrets with the same name but different versions
+        if self.settings_cls.model_config.get('populate_by_name') and val is not None:
+            return val, field_name, is_complex
+        return val, key, is_complex
+
+    def _resolve_gcp_project(self) -> None:
+        """Resolve the credentials, project_id and Secret Manager client.
+
+        ``project_id`` is resolved, in order of precedence, from: the explicit
+        ``project_id`` argument, the ``project_id_field`` value from previous settings
+        sources (``current_state``), and finally ``google.auth.default()``.
+        """
+        if self._project_id is not None:
+            return
+
+        project_id = self._explicit_project_id
+        credentials = self._credentials
+
+        # Fall back to a value resolved by a previous (higher priority) settings source.
+        if project_id is None:
+            state_project_id = self.current_state.get(self._project_id_field)
+            if isinstance(state_project_id, str):
+                project_id = state_project_id
+
+        # Fall back to google.auth.default for whatever is still missing.
+        # Credentials are only needed if we have to build a client ourselves — if the
+        # caller supplied a pre-built secret_client we can skip the auth call entirely
+        # when project_id is also known, avoiding an unnecessary RPC / file read.
+        need_credentials = self._secret_client is None and credentials is None
+        need_project = project_id is None
+        if need_credentials or need_project:
+            _creds, _project_id = google_auth_default()
+            if need_credentials:
+                credentials = _creds
+            if need_project and isinstance(_project_id, str):
+                project_id = _project_id
+
+        if project_id is None:
+            raise AttributeError(
+                'project_id is required to be specified either as an argument, via a previous '
+                'settings source, or from google.auth.default. See '
+                'https://google-auth.readthedocs.io/en/master/reference/google.auth.html#google.auth.default'
+            )
+
+        self._credentials = credentials
+        self._project_id = project_id
+        if self._secret_client is None:
+            self._secret_client = SecretManagerServiceClient(credentials=self._credentials)
+
+    def _load_env_vars(self) -> Mapping[str, str | None]:
+        # During __init__ the previous sources have not run yet, so defer building the
+        # mapping until __call__, where current_state (and thus project_id) is available.
+        if not self._env_vars_loaded:
+            return {}
+
+        self._resolve_gcp_project()
+        if self._project_id is None or self._secret_client is None:
+            raise SettingsError(
+                'GoogleSecretManagerSettingsSource: could not determine GCP project_id or initialize the Secret Manager client. '
+                'Pass project_id explicitly or ensure it is available via application default credentials or a previous settings source.'
+            )
+        return GoogleSecretManagerMapping(
+            self._secret_client, project_id=self._project_id, case_sensitive=self.case_sensitive
+        )
+
+    def __call__(self) -> dict[str, Any]:
+        # current_state is populated by previous sources right before __call__; (re)build
+        # the mapping now so project_id can be sourced from them.
+        self._env_vars_loaded = True
+        self.env_vars = self._load_env_vars()
+        return super().__call__()
+
+    def __repr__(self) -> str:
+        # Prefer the resolved project_id, falling back to the explicit constructor
+        # arg so the repr is informative before the source has been called.
+        project_id = self._project_id if self._project_id is not None else self._explicit_project_id
+        return (
+            f'{self.__class__.__name__}(project_id={project_id!r}, env_nested_delimiter={self.env_nested_delimiter!r})'
+        )
+
+
+__all__ = ['GoogleSecretManagerMapping', 'GoogleSecretManagerSettingsSource']

source/target-vendors/cp312/pydantic_settings/sources/providers/json.py

@@ -0,0 +1,53 @@
+"""JSON file settings source."""
+
+from __future__ import annotations as _annotations
+
+import json
+from typing import (
+    TYPE_CHECKING,
+    Any,
+)
+
+from ..base import ConfigFileSourceMixin, InitSettingsSource
+from ..types import DEFAULT_PATH, ConfigFileSourceType
+from ..utils import InitState
+
+if TYPE_CHECKING:
+    from pathlib import Path
+
+    from pydantic_settings.main import BaseSettings
+
+    from ..types import Traversable
+
+
+class JsonConfigSettingsSource(InitSettingsSource, ConfigFileSourceMixin):
+    """
+    A source class that loads variables from a JSON file
+    """
+
+    def __init__(
+        self,
+        settings_cls: type[BaseSettings],
+        json_file: ConfigFileSourceType | None = DEFAULT_PATH,
+        json_file_encoding: str | None = None,
+        deep_merge: bool = False,
+        _init_state: InitState | None = None,
+    ):
+        self.json_file_path = json_file if json_file != DEFAULT_PATH else settings_cls.model_config.get('json_file')
+        self.json_file_encoding = (
+            json_file_encoding
+            if json_file_encoding is not None
+            else settings_cls.model_config.get('json_file_encoding')
+        )
+        self.json_data = self._read_files(self.json_file_path, deep_merge=deep_merge)
+        super().__init__(settings_cls, self.json_data, _init_state=_init_state)
+
+    def _read_file(self, file_path: Path | Traversable) -> dict[str, Any]:
+        with file_path.open(encoding=self.json_file_encoding) as json_file:
+            return json.load(json_file)
+
+    def __repr__(self) -> str:
+        return f'{self.__class__.__name__}(json_file={self.json_file_path})'
+
+
+__all__ = ['JsonConfigSettingsSource']

source/target-vendors/cp312/pydantic_settings/sources/providers/nested_secrets.py

@@ -0,0 +1,214 @@
+import os
+import warnings
+from collections.abc import Iterator
+from functools import reduce
+from pathlib import Path
+from typing import TYPE_CHECKING, Any, Literal, Optional
+
+from ...exceptions import SettingsError
+from ...utils import path_type_label
+from ..base import PydanticBaseSettingsSource
+from ..utils import InitState, parse_env_vars
+from .env import EnvSettingsSource
+from .secrets import SecretsSettingsSource
+
+if TYPE_CHECKING:
+    from ...main import BaseSettings
+    from ...sources import PathType
+
+
+SECRETS_DIR_MAX_SIZE = 16 * 2**20  # 16 MiB seems to be a reasonable default
+
+
+class NestedSecretsSettingsSource(EnvSettingsSource):
+    def __init__(
+        self,
+        file_secret_settings: PydanticBaseSettingsSource | SecretsSettingsSource,
+        secrets_dir: Optional['PathType'] = None,
+        secrets_dir_missing: Literal['ok', 'warn', 'error'] | None = None,
+        secrets_dir_max_size: int | None = None,
+        secrets_case_sensitive: bool | None = None,
+        secrets_prefix: str | None = None,
+        secrets_nested_delimiter: str | None = None,
+        secrets_nested_subdir: bool | None = None,
+        # args for compatibility with SecretsSettingsSource, don't use directly
+        case_sensitive: bool | None = None,
+        env_prefix: str | None = None,
+        _init_state: InitState | None = None,
+    ) -> None:
+        # We allow the first argument to be settings_cls like original
+        # SecretsSettingsSource. However, it is recommended to pass
+        # SecretsSettingsSource instance instead (as it is shown in usage examples),
+        # otherwise `_secrets_dir` arg passed to Settings() constructor will be ignored.
+        settings_cls: type[BaseSettings] = getattr(
+            file_secret_settings,
+            'settings_cls',
+            file_secret_settings,  # type: ignore[arg-type]
+        )
+        # config options
+        conf = settings_cls.model_config
+        self.secrets_dir: PathType | None = first_not_none(
+            getattr(file_secret_settings, 'secrets_dir', None),
+            secrets_dir,
+            conf.get('secrets_dir'),
+        )
+        self.secrets_dir_missing: Literal['ok', 'warn', 'error'] = first_not_none(
+            secrets_dir_missing,
+            conf.get('secrets_dir_missing'),
+            'warn',
+        )
+        if self.secrets_dir_missing not in ('ok', 'warn', 'error'):
+            raise SettingsError(f'invalid secrets_dir_missing value: {self.secrets_dir_missing}')
+        self.secrets_dir_max_size: int = first_not_none(
+            secrets_dir_max_size,
+            conf.get('secrets_dir_max_size'),
+            SECRETS_DIR_MAX_SIZE,
+        )
+        self.case_sensitive: bool = first_not_none(
+            secrets_case_sensitive,
+            conf.get('secrets_case_sensitive'),
+            case_sensitive,
+            conf.get('case_sensitive'),
+            False,
+        )
+        self.secrets_prefix: str = first_not_none(
+            secrets_prefix,
+            conf.get('secrets_prefix'),
+            env_prefix,
+            conf.get('env_prefix'),
+            '',
+        )
+
+        # nested options
+        self.secrets_nested_delimiter: str | None = first_not_none(
+            secrets_nested_delimiter,
+            conf.get('secrets_nested_delimiter'),
+            conf.get('env_nested_delimiter'),
+        )
+        self.secrets_nested_subdir: bool = first_not_none(
+            secrets_nested_subdir,
+            conf.get('secrets_nested_subdir'),
+            False,
+        )
+        if self.secrets_nested_subdir:
+            if secrets_nested_delimiter or conf.get('secrets_nested_delimiter'):
+                raise SettingsError('Options secrets_nested_delimiter and secrets_nested_subdir are mutually exclusive')
+            else:
+                self.secrets_nested_delimiter = os.sep
+
+        # ensure valid secrets_path
+        if self.secrets_dir is None:
+            paths = []
+        elif isinstance(self.secrets_dir, (Path, str)):
+            paths = [self.secrets_dir]
+        else:
+            paths = list(self.secrets_dir)
+        self.secrets_paths: list[Path] = [Path(p).expanduser().resolve() for p in paths]
+        for path in self.secrets_paths:
+            self.validate_secrets_path(path)
+
+        # construct parent, inheriting the init state of the wrapped source if not provided
+        super().__init__(
+            settings_cls,
+            case_sensitive=self.case_sensitive,
+            env_prefix=self.secrets_prefix,
+            env_nested_delimiter=self.secrets_nested_delimiter,
+            env_ignore_empty=False,  # match SecretsSettingsSource behaviour
+            env_parse_enums=True,  # we can pass everything here, it will still behave as "True"
+            env_parse_none_str=None,  # match SecretsSettingsSource behaviour
+            _init_state=_init_state if _init_state is not None else getattr(file_secret_settings, '_init_state', None),
+        )
+        self.env_parse_none_str = None  # update manually because of None
+
+        # update parent members
+        if not len(self.secrets_paths):
+            self.env_vars = {}
+        else:
+            secrets = reduce(
+                lambda d1, d2: dict((*d1.items(), *d2.items())),
+                (self.load_secrets(p) for p in self.secrets_paths),
+            )
+            self.env_vars = parse_env_vars(
+                secrets,
+                self.case_sensitive,
+                self.env_ignore_empty,
+                self.env_parse_none_str,
+            )
+
+    def validate_secrets_path(self, path: Path) -> None:
+        if not path.exists():
+            if self.secrets_dir_missing == 'ok':
+                pass
+            elif self.secrets_dir_missing == 'warn':
+                warnings.warn(f'directory "{path}" does not exist', stacklevel=2)
+            elif self.secrets_dir_missing == 'error':
+                raise SettingsError(f'directory "{path}" does not exist')
+            else:
+                raise ValueError  # unreachable, checked before
+        else:
+            if not path.is_dir():
+                raise SettingsError(f'secrets_dir must reference a directory, not a {path_type_label(path)}')
+            secrets_dir_size = sum(f.stat().st_size for f in self._iter_secret_files(path))
+            if secrets_dir_size > self.secrets_dir_max_size:
+                raise SettingsError(f'secrets_dir size is above {self.secrets_dir_max_size} bytes')
+
+    @staticmethod
+    def _iter_secret_files(path: Path) -> Iterator[Path]:
+        """Yield the secret files contained in ``path``.
+
+        ``path`` is expected to already be resolved. The directory tree is walked
+        explicitly so that symbolic links are handled safely:
+
+        * a file is only yielded if its real location stays within ``path``; entries
+          that resolve outside of it (e.g. through a symbolic link) are skipped, so
+          they neither contribute to the ``secrets_dir_max_size`` accounting nor get
+          loaded;
+        * each real directory is visited at most once, so cyclic or repeated
+          symlinks cannot make the walk loop and inflate the size accounting or the
+          number of loaded secrets.
+
+        Because the size check and the loader share this iterator, they always see
+        the same set of files.
+        """
+        seen_dirs: set[Path] = set()
+
+        def walk(directory: Path) -> Iterator[Path]:
+            # Guard against symlink loops / a directory reachable through multiple
+            # links being traversed more than once.
+            resolved_dir = directory.resolve()
+            if resolved_dir in seen_dirs:
+                return
+            seen_dirs.add(resolved_dir)
+            try:
+                entries = sorted(directory.iterdir())
+            except OSError:
+                return
+            for entry in entries:
+                resolved = entry.resolve()
+                if resolved.is_dir():
+                    # Only descend into directories that stay within secrets_dir.
+                    # A symlinked directory pointing outside of ``path`` is not
+                    # followed at all, so we never walk (potentially large) external
+                    # trees and never read files from outside secrets_dir.
+                    if resolved == path or path in resolved.parents:
+                        yield from walk(entry)
+                elif resolved.is_file() and path in resolved.parents:
+                    # Defense in depth: a file whose real location escapes
+                    # secrets_dir (e.g. a symlink pointing outside of ``path``) is
+                    # skipped from both the size accounting and the load.
+                    yield entry
+
+        yield from walk(path)
+
+    @classmethod
+    def load_secrets(cls, path: Path) -> dict[str, str]:
+        # Explicit encoding, matching SecretsSettingsSource: the locale default would
+        # corrupt UTF-8 secrets on a non-UTF-8 Windows code page.
+        return {str(p.relative_to(path)): p.read_text(encoding='utf-8').strip() for p in cls._iter_secret_files(path)}
+
+    def __repr__(self) -> str:
+        return f'NestedSecretsSettingsSource(secrets_dir={self.secrets_dir!r})'
+
+
+def first_not_none(*objs: Any) -> Any:
+    return next(filter(lambda o: o is not None, objs), None)

source/target-vendors/cp312/pydantic_settings/sources/providers/pyproject.py

@@ -0,0 +1,64 @@
+"""Pyproject TOML file settings source."""
+
+from __future__ import annotations as _annotations
+
+from pathlib import Path
+from typing import (
+    TYPE_CHECKING,
+)
+
+from ..utils import InitState
+from .toml import TomlConfigSettingsSource
+
+if TYPE_CHECKING:
+    from pydantic_settings.main import BaseSettings
+
+
+class PyprojectTomlConfigSettingsSource(TomlConfigSettingsSource):
+    """
+    A source class that loads variables from a `pyproject.toml` file.
+    """
+
+    def __init__(
+        self,
+        settings_cls: type[BaseSettings],
+        toml_file: Path | None = None,
+        _init_state: InitState | None = None,
+    ) -> None:
+        self.toml_file_path = self._pick_pyproject_toml_file(
+            toml_file, settings_cls.model_config.get('pyproject_toml_depth', 0)
+        )
+        self.toml_table_header: tuple[str, ...] = settings_cls.model_config.get(
+            'pyproject_toml_table_header', ('tool', 'pydantic-settings')
+        )
+        self.toml_data = self._read_files(self.toml_file_path)
+        for key in self.toml_table_header:
+            self.toml_data = self.toml_data.get(key, {})
+        super(TomlConfigSettingsSource, self).__init__(settings_cls, self.toml_data, _init_state=_init_state)
+
+    @staticmethod
+    def _pick_pyproject_toml_file(provided: Path | None, depth: int) -> Path:
+        """Pick a `pyproject.toml` file path to use.
+
+        Args:
+            provided: Explicit path provided when instantiating this class.
+            depth: Number of directories up the tree to check of a pyproject.toml.
+
+        """
+        if provided:
+            return provided.resolve()
+        rv = Path.cwd() / 'pyproject.toml'
+        count = 0
+        if not rv.is_file():
+            child = rv.parent.parent / 'pyproject.toml'
+            while count < depth:
+                if child.is_file():
+                    return child
+                if str(child.parent) == rv.root:
+                    break  # end discovery after checking system root once
+                child = child.parent.parent / 'pyproject.toml'
+                count += 1
+        return rv
+
+
+__all__ = ['PyprojectTomlConfigSettingsSource']

source/target-vendors/cp312/pydantic_settings/sources/providers/secrets.py

@@ -0,0 +1,143 @@
+"""Secrets file settings source."""
+
+from __future__ import annotations as _annotations
+
+import logging
+import os
+import warnings
+from pathlib import Path
+from typing import (
+    TYPE_CHECKING,
+    Any,
+)
+
+from pydantic.fields import FieldInfo
+
+from pydantic_settings.utils import _settings_debug_enabled, logger, path_type_label
+
+from ...exceptions import SettingsError
+from ..base import PydanticBaseEnvSettingsSource
+from ..types import EnvPrefixTarget, PathType
+from ..utils import InitState
+
+if TYPE_CHECKING:
+    from pydantic_settings.main import BaseSettings
+
+
+class SecretsSettingsSource(PydanticBaseEnvSettingsSource):
+    """
+    Source class for loading settings values from secret files.
+    """
+
+    def __init__(
+        self,
+        settings_cls: type[BaseSettings],
+        secrets_dir: PathType | None = None,
+        case_sensitive: bool | None = None,
+        env_prefix: str | None = None,
+        env_prefix_target: EnvPrefixTarget | None = None,
+        env_ignore_empty: bool | None = None,
+        env_parse_none_str: str | None = None,
+        env_parse_enums: bool | None = None,
+        _init_state: InitState | None = None,
+    ) -> None:
+        super().__init__(
+            settings_cls,
+            case_sensitive,
+            env_prefix,
+            env_prefix_target,
+            env_ignore_empty,
+            env_parse_none_str,
+            env_parse_enums,
+            _init_state,
+        )
+        self.secrets_dir = secrets_dir if secrets_dir is not None else self.config.get('secrets_dir')
+
+    def __call__(self) -> dict[str, Any]:
+        """
+        Build fields from "secrets" files.
+        """
+        secrets: dict[str, str | None] = {}
+
+        if self.secrets_dir is None:
+            return secrets
+
+        secrets_dirs = [self.secrets_dir] if isinstance(self.secrets_dir, (str, os.PathLike)) else self.secrets_dir
+        secrets_paths = [Path(p).expanduser() for p in secrets_dirs]
+        self.secrets_paths = []
+
+        for path in secrets_paths:
+            if not path.exists():
+                warnings.warn(f'directory "{path}" does not exist')
+            else:
+                self.secrets_paths.append(path)
+
+        if not len(self.secrets_paths):
+            return secrets
+
+        for path in self.secrets_paths:
+            if not path.is_dir():
+                raise SettingsError(f'secrets_dir must reference a directory, not a {path_type_label(path)}')
+
+        return super().__call__()
+
+    @classmethod
+    def find_case_path(cls, dir_path: Path, file_name: str, case_sensitive: bool) -> Path | None:
+        """
+        Find a file within path's directory matching filename, optionally ignoring case.
+
+        Args:
+            dir_path: Directory path.
+            file_name: File name.
+            case_sensitive: Whether to search for file name case sensitively.
+
+        Returns:
+            Whether file path or `None` if file does not exist in directory.
+        """
+        for f in dir_path.iterdir():
+            if f.name == file_name or (not case_sensitive and f.name.lower() == file_name.lower()):
+                return f
+        return None
+
+    def get_field_value(self, field: FieldInfo, field_name: str) -> tuple[Any, str, bool]:
+        """
+        Gets the value for field from secret file and a flag to determine whether value is complex.
+
+        Args:
+            field: The field.
+            field_name: The field name.
+
+        Returns:
+            A tuple that contains the value (`None` if the file does not exist), key, and
+                a flag to determine whether value is complex.
+        """
+
+        debug = _settings_debug_enabled() and logger.isEnabledFor(logging.DEBUG)
+
+        for field_key, env_name, value_is_complex in self._extract_field_info(field, field_name):
+            # paths reversed to match the last-wins behaviour of `env_file`
+            for secrets_path in reversed(self.secrets_paths):
+                path = self.find_case_path(secrets_path, env_name, self.case_sensitive)
+                if not path:
+                    # path does not exist, we currently don't return a warning for this
+                    if debug:
+                        logger.debug('Secret file not found, skipping: %s', (secrets_path / env_name).resolve())
+                    continue
+
+                if path.is_file():
+                    if debug:
+                        logger.debug('Loading secret file: %s', path.resolve())
+                    # Explicit encoding: `read_text()` would otherwise decode with the
+                    # locale encoding, so a UTF-8 secret is corrupted on a non-UTF-8
+                    # Windows code page (silently, when every byte happens to map).
+                    return path.read_text(encoding='utf-8').strip(), field_key, value_is_complex
+                else:
+                    warnings.warn(
+                        f'attempted to load secret file "{path}" but found a {path_type_label(path)} instead.',
+                        stacklevel=4,
+                    )
+
+        return None, field_key, value_is_complex
+
+    def __repr__(self) -> str:
+        return f'{self.__class__.__name__}(secrets_dir={self.secrets_dir!r})'

source/target-vendors/cp312/pydantic_settings/sources/providers/toml.py

@@ -0,0 +1,100 @@
+"""TOML file settings source."""
+
+from __future__ import annotations as _annotations
+
+import sys
+from collections.abc import Sequence
+from pathlib import Path
+from typing import (
+    TYPE_CHECKING,
+    Any,
+)
+
+from ..base import ConfigFileSourceMixin, InitSettingsSource
+from ..types import DEFAULT_PATH, ConfigFileSourceType
+from ..utils import InitState
+
+if TYPE_CHECKING:
+    from pydantic_settings.main import BaseSettings
+
+    from ..types import Traversable
+
+    if sys.version_info >= (3, 11):
+        import tomllib
+    else:
+        tomllib = None
+    import tomli
+else:
+    tomllib = None
+    tomli = None
+
+
+def import_toml() -> None:
+    global tomli
+    global tomllib
+    if sys.version_info < (3, 11):
+        if tomli is not None:
+            return
+        try:
+            import tomli
+        except ImportError as e:  # pragma: no cover
+            raise ImportError('tomli is not installed, run `pip install pydantic-settings[toml]`') from e
+    else:
+        if tomllib is not None:
+            return
+        import tomllib
+
+
+class TomlConfigSettingsSource(InitSettingsSource, ConfigFileSourceMixin):
+    """
+    A source class that loads variables from a TOML file
+    """
+
+    def __init__(
+        self,
+        settings_cls: type[BaseSettings],
+        toml_file: ConfigFileSourceType | None = DEFAULT_PATH,
+        toml_table_header: tuple[str, ...] = (),
+        deep_merge: bool = False,
+        _init_state: InitState | None = None,
+    ):
+        self.toml_file_path = toml_file if toml_file != DEFAULT_PATH else settings_cls.model_config.get('toml_file')
+        self.toml_table_header = (
+            toml_table_header if toml_table_header else settings_cls.model_config.get('toml_table_header', ())
+        )
+        self.toml_data = self._read_files(self.toml_file_path, deep_merge=deep_merge)
+
+        if self._any_file_exists(self.toml_file_path):
+            for key in self.toml_table_header:
+                if key not in self.toml_data:
+                    raise KeyError(f'toml_table_header key "{key}" not found in {self.toml_file_path}')
+                self.toml_data = self.toml_data[key]
+
+        super().__init__(settings_cls, self.toml_data, _init_state=_init_state)
+
+    def _read_file(self, file_path: Path | Traversable) -> dict[str, Any]:
+        import_toml()
+        with file_path.open(mode='rb') as toml_file:
+            if sys.version_info < (3, 11):
+                return tomli.load(toml_file)
+            return tomllib.load(toml_file)
+
+    @staticmethod
+    def _any_file_exists(paths: ConfigFileSourceType | None) -> bool:
+        """Check if any of the given file paths exist."""
+        if paths is None:
+            return False
+        if isinstance(paths, str) or not isinstance(paths, Sequence):
+            paths = [paths]
+
+        def _exists(path: Path | str | Traversable) -> bool:
+            if isinstance(path, (str, Path)):
+                return Path(path).exists()
+            # Non-`Path` `Traversable` (e.g. a resource inside a zip/wheel) is not
+            # `os.PathLike`, so it can't be wrapped in `Path`; query it directly.
+            return path.is_file()
+
+        return any(_exists(path) for path in paths)
+
+    def __repr__(self) -> str:
+        return f'{self.__class__.__name__}(toml_file={self.toml_file_path}, toml_table_header={self.toml_table_header})'

source/target-vendors/cp312/pydantic_settings/sources/providers/yaml.py

@@ -0,0 +1,147 @@
+"""YAML file settings source."""
+
+from __future__ import annotations as _annotations
+
+from typing import (
+    TYPE_CHECKING,
+    Any,
+)
+
+from ..base import ConfigFileSourceMixin, InitSettingsSource
+from ..types import DEFAULT_PATH, ConfigFileSourceType
+from ..utils import InitState
+
+if TYPE_CHECKING:
+    from pathlib import Path
+
+    import yaml
+
+    from pydantic_settings.main import BaseSettings
+
+    from ..types import Traversable
+else:
+    yaml = None
+
+
+def import_yaml() -> None:
+    global yaml
+    if yaml is not None:
+        return
+    try:
+        import yaml
+    except ImportError as e:
+        raise ImportError('PyYAML is not installed, run `pip install pydantic-settings[yaml]`') from e
+
+
+class YamlConfigSettingsSource(InitSettingsSource, ConfigFileSourceMixin):
+    """
+    A source class that loads variables from a yaml file
+    """
+
+    def __init__(
+        self,
+        settings_cls: type[BaseSettings],
+        yaml_file: ConfigFileSourceType | None = DEFAULT_PATH,
+        yaml_file_encoding: str | None = None,
+        yaml_config_section: str | None = None,
+        deep_merge: bool = False,
+        _init_state: InitState | None = None,
+    ):
+        self.yaml_file_path = yaml_file if yaml_file != DEFAULT_PATH else settings_cls.model_config.get('yaml_file')
+        self.yaml_file_encoding = (
+            yaml_file_encoding
+            if yaml_file_encoding is not None
+            else settings_cls.model_config.get('yaml_file_encoding')
+        )
+        self.yaml_config_section = (
+            yaml_config_section
+            if yaml_config_section is not None
+            else settings_cls.model_config.get('yaml_config_section')
+        )
+        self.yaml_data = self._read_files(self.yaml_file_path, deep_merge=deep_merge)
+
+        if self.yaml_config_section is not None:
+            section_data = self._traverse_nested_section(
+                self.yaml_data, self.yaml_config_section, self.yaml_config_section
+            )
+            # An empty section (`section:` with no children) parses to `None`; treat it as an
+            # empty mapping so it falls back to defaults, mirroring `_read_file`'s `or {}` for
+            # an empty whole file. A non-mapping section (e.g. a scalar) is a user error, so
+            # raise a clear message instead of letting `InitSettingsSource` choke on `.keys()`.
+            if section_data is None:
+                section_data = {}
+            elif not isinstance(section_data, dict):
+                raise TypeError(
+                    f'yaml_config_section "{self.yaml_config_section}" in {self.yaml_file_path} '
+                    f'must be a mapping, got {type(section_data).__name__}.'
+                )
+            self.yaml_data = section_data
+        super().__init__(settings_cls, self.yaml_data, _init_state=_init_state)
+
+    def _read_file(self, file_path: Path | Traversable) -> dict[str, Any]:
+        import_yaml()
+        with file_path.open(encoding=self.yaml_file_encoding) as yaml_file:
+            return yaml.safe_load(yaml_file) or {}
+
+    def _traverse_nested_section(
+        self, data: dict[str, Any], section_path: str, original_path: str | None = None
+    ) -> dict[str, Any]:
+        """
+        Traverse nested YAML sections using dot-notation path.
+
+        This method tries to match the longest possible key first before splitting on dots,
+        allowing access to YAML keys that contain literal dot characters.
+
+        For example, with section_path="a.b.c", it will try:
+        1. "a.b.c" as a literal key
+        2. "a.b" as a key, then traverse to "c"
+        3. "a" as a key, then traverse to "b.c"
+        4. "a" as a key, then "b" as a key, then "c" as a key
+        """
+        # Track the original path for error messages
+        if original_path is None:
+            original_path = section_path
+
+        # Only reject truly empty paths
+        if not section_path:
+            raise ValueError('yaml_config_section cannot be empty')
+
+        # Try the full path as a literal key first (even with leading/trailing/consecutive dots)
+        try:
+            return data[section_path]
+        except KeyError:
+            pass  # Not a literal key, try splitting
+        except TypeError:
+            raise TypeError(
+                f'yaml_config_section path "{original_path}" cannot be traversed in {self.yaml_file_path}. '
+                f'An intermediate value is not a dictionary.'
+            )
+
+        # If path contains no dots, we already tried it as a literal key above
+        if '.' not in section_path:
+            raise KeyError(f'yaml_config_section key "{original_path}" not found in {self.yaml_file_path}')
+
+        # Try progressively shorter prefixes (greedy left-to-right approach)
+        parts = section_path.split('.')
+        for i in range(len(parts) - 1, 0, -1):
+            prefix = '.'.join(parts[:i])
+            suffix = '.'.join(parts[i:])
+
+            if prefix in data:
+                # Found the prefix as a literal key, now recursively traverse the suffix
+                try:
+                    return self._traverse_nested_section(data[prefix], suffix, original_path)
+                except TypeError:
+                    raise TypeError(
+                        f'yaml_config_section path "{original_path}" cannot be traversed in {self.yaml_file_path}. '
+                        f'An intermediate value is not a dictionary.'
+                    )
+
+        # If we get here, no match was found
+        raise KeyError(f'yaml_config_section key "{original_path}" not found in {self.yaml_file_path}')
+
+    def __repr__(self) -> str:
+        return f'{self.__class__.__name__}(yaml_file={self.yaml_file_path})'
+
+
+__all__ = ['YamlConfigSettingsSource']

source/target-vendors/cp312/pydantic_settings/sources/types.py

@@ -0,0 +1,108 @@
+"""Type definitions for pydantic-settings sources."""
+
+from __future__ import annotations as _annotations
+
+import sys
+from collections.abc import Sequence
+from pathlib import Path
+from typing import TYPE_CHECKING, Any, Literal
+
+if sys.version_info >= (3, 11):
+    from importlib.resources.abc import Traversable as Traversable  # noqa: PLC0414  (explicit re-export)
+else:
+    from importlib.abc import Traversable as Traversable  # noqa: PLC0414  (explicit re-export)
+
+if TYPE_CHECKING:
+    from pydantic._internal._dataclasses import PydanticDataclass
+    from pydantic.main import BaseModel
+
+    PydanticModel = PydanticDataclass | BaseModel
+else:
+    PydanticModel = Any
+
+
+class EnvNoneType(str):
+    pass
+
+
+class NoDecode:
+    """Annotation to prevent decoding of a field value."""
+
+
+class ForceDecode:
+    """Annotation to force decoding of a field value."""
+
+
+EnvPrefixTarget = Literal['variable', 'alias', 'all']
+DotenvType = Path | str | Sequence[Path | str]
+PathType = Path | str | Sequence[Path | str]
+# Config file sources (json/toml/yaml) additionally accept packaged resources exposed as a
+# `Traversable` (e.g. `importlib.resources.files(...).joinpath(...)`), including non-filesystem
+# ones such as a file inside a zip/wheel.
+# See https://github.com/pydantic/pydantic-settings/issues/299
+ConfigFileSourceType = Path | str | Traversable | Sequence[Path | str | Traversable]
+DotenvFiltering = Literal['match_prefix', 'only_existing']
+DEFAULT_PATH: PathType = Path('')
+
+# This is used as default value for `_env_file` in the `BaseSettings` class and
+# `env_file` in `DotEnvSettingsSource` so the default can be distinguished from `None`.
+# See the docstring of `BaseSettings` for more details.
+ENV_FILE_SENTINEL: DotenvType = Path('')
+
+
+class _CliSubCommand:
+    pass
+
+
+class _CliPositionalArg:
+    pass
+
+
+class _CliImplicitFlag:
+    pass
+
+
+class _CliToggleFlag(_CliImplicitFlag):
+    pass
+
+
+class _CliDualFlag(_CliImplicitFlag):
+    pass
+
+
+class _CliExplicitFlag:
+    pass
+
+
+class _CliUnknownArgs:
+    pass
+
+
+class SecretVersion:
+    def __init__(self, version: str) -> None:
+        self.version = version
+
+    def __repr__(self) -> str:
+        return f'{self.__class__.__name__}({self.version!r})'
+
+
+__all__ = [
+    'DEFAULT_PATH',
+    'ENV_FILE_SENTINEL',
+    'ConfigFileSourceType',
+    'DotenvType',
+    'EnvNoneType',
+    'EnvPrefixTarget',
+    'ForceDecode',
+    'NoDecode',
+    'PathType',
+    'PydanticModel',
+    'SecretVersion',
+    '_CliDualFlag',
+    '_CliExplicitFlag',
+    '_CliImplicitFlag',
+    '_CliPositionalArg',
+    '_CliSubCommand',
+    '_CliToggleFlag',
+    '_CliUnknownArgs',
+]

source/target-vendors/cp312/pydantic_settings/sources/utils.py

@@ -0,0 +1,376 @@
+"""Utility functions for pydantic-settings sources."""
+
+from __future__ import annotations as _annotations
+
+import warnings
+from collections import deque
+from collections.abc import Mapping, Sequence
+from dataclasses import is_dataclass
+from enum import Enum
+from typing import Any, TypedDict, TypeVar, cast, get_args, get_origin
+
+from pydantic import BaseModel, Json, RootModel, Secret
+from pydantic._internal._utils import is_model_class
+from pydantic.dataclasses import is_pydantic_dataclass
+from pydantic.fields import FieldInfo
+from pydantic.types import Strict
+from typing_inspection import typing_objects
+from typing_inspection.introspection import is_union_origin
+
+from ..exceptions import IncompleteFieldDefinitionWarning, SettingsError
+from ..utils import _lenient_issubclass
+from .types import EnvNoneType
+
+
+class InitState(TypedDict, total=False):
+    """State shared between settings sources during a single settings resolution."""
+
+    field_info_ids: set[int]
+    """The `id()`s of the incomplete `FieldInfo` instances that were already warned about."""
+
+
+def _warn_if_field_info_incomplete(field_info: FieldInfo, field_name: str, init_state: InitState) -> None:
+    """Warn if the field is incomplete, i.e. its annotation contains unresolved forward references.
+
+    An incomplete `FieldInfo` instance is unsafe to inspect — any of its attributes (annotation,
+    aliases, metadata, default) may rely on the unresolved annotation, so settings sources may
+    silently fail to resolve the field's value. Each instance is only warned about once per
+    `init_state`, so that a field accessed by multiple sources during a single settings
+    resolution doesn't emit duplicate warnings.
+    """
+    if getattr(field_info, '_complete', True):
+        return
+    warned_ids = init_state.setdefault('field_info_ids', set())
+    if id(field_info) in warned_ids:
+        return
+    warned_ids.add(id(field_info))
+    warnings.warn(
+        f'Field {field_name!r} has an incomplete definition: its annotation contains an unresolved '
+        'forward reference, so settings sources may fail to correctly resolve its value. '
+        'Call `model_rebuild()` on the model where the field is defined, once all the referenced '
+        'types are defined.',
+        IncompleteFieldDefinitionWarning,
+    )
+
+
+def _get_env_var_key(key: str, case_sensitive: bool = False) -> str:
+    return key if case_sensitive else key.lower()
+
+
+def _parse_env_none_str(value: str | None, parse_none_str: str | None = None) -> str | None | EnvNoneType:
+    return value if not (value == parse_none_str and parse_none_str is not None) else EnvNoneType(value)
+
+
+def parse_env_vars(
+    env_vars: Mapping[str, str | None],
+    case_sensitive: bool = False,
+    ignore_empty: bool = False,
+    parse_none_str: str | None = None,
+) -> Mapping[str, str | None]:
+    return {
+        _get_env_var_key(k, case_sensitive): _parse_env_none_str(v, parse_none_str)
+        for k, v in env_vars.items()
+        if not (ignore_empty and v == '')
+    }
+
+
+def _substitute_typevars(tp: Any, param_map: dict[Any, Any]) -> Any:
+    """Substitute TypeVars in a type annotation with concrete types from param_map."""
+    if isinstance(tp, TypeVar) and tp in param_map:
+        return param_map[tp]
+    args = get_args(tp)
+    if not args:
+        return tp
+    new_args = tuple(_substitute_typevars(arg, param_map) for arg in args)
+    if new_args == args:
+        return tp
+    origin = get_origin(tp)
+    if origin is not None:
+        try:
+            return origin[new_args]
+        except TypeError:
+            # types.UnionType and similar are not directly subscriptable,
+            # reconstruct using | operator
+            import functools
+            import operator
+
+            return functools.reduce(operator.or_, new_args)
+    return tp
+
+
+def _resolve_type_alias(annotation: Any) -> Any:
+    """Resolve a TypeAliasType to its underlying value, substituting type params if parameterized."""
+    if typing_objects.is_typealiastype(annotation):
+        return annotation.__value__
+    origin = get_origin(annotation)
+    if typing_objects.is_typealiastype(origin):
+        type_params = getattr(origin, '__type_params__', ())
+        type_args = get_args(annotation)
+        value = origin.__value__
+        if type_params and type_args:
+            return _substitute_typevars(value, dict(zip(type_params, type_args)))
+        return value
+    return annotation
+
+
+def _annotation_is_complex(annotation: Any, metadata: list[Any], init_state: InitState | None = None) -> bool:
+    # If the model is a root model, the root annotation should be used to
+    # evaluate the complexity.
+    annotation = _resolve_type_alias(annotation)
+    if annotation is not None and _lenient_issubclass(annotation, RootModel) and annotation is not RootModel:
+        annotation = cast('type[RootModel[Any]]', annotation)
+        root_field = annotation.model_fields['root']
+        if init_state is not None:
+            _warn_if_field_info_incomplete(root_field, f'{annotation.__name__}.root', init_state)
+        root_annotation = root_field.annotation
+        if root_annotation is not None:  # pragma: no branch
+            annotation = root_annotation
+
+    if any(isinstance(md, Json) for md in metadata):  # type: ignore[misc]
+        return False
+
+    origin = get_origin(annotation)
+
+    # Check if annotation is of the form Annotated[type, metadata].
+    if typing_objects.is_annotated(origin):
+        # Return result of recursive call on inner type.
+        inner, *meta = get_args(annotation)
+        return _annotation_is_complex(inner, meta, init_state)
+
+    if _lenient_issubclass(origin, Secret):
+        return False
+
+    return (
+        _annotation_is_complex_inner(annotation)
+        or _annotation_is_complex_inner(origin)
+        or hasattr(origin, '__pydantic_core_schema__')
+        or hasattr(origin, '__get_pydantic_core_schema__')
+    )
+
+
+def _get_field_metadata(field: FieldInfo) -> list[Any]:
+    annotation = _resolve_type_alias(field.annotation)
+    metadata = field.metadata
+    origin = get_origin(annotation)
+    if typing_objects.is_annotated(origin):
+        _, *meta = get_args(annotation)
+        metadata += meta
+    return metadata
+
+
+def _annotation_is_complex_inner(annotation: type[Any] | None) -> bool:
+    if _lenient_issubclass(annotation, (str, bytes)):
+        return False
+
+    return _lenient_issubclass(
+        annotation, (BaseModel, Mapping, Sequence, tuple, set, frozenset, deque)
+    ) or is_dataclass(annotation)
+
+
+def _union_is_complex(annotation: type[Any] | None, metadata: list[Any], init_state: InitState | None = None) -> bool:
+    """Check if a union type contains any complex types."""
+    for arg in get_args(annotation):
+        if _annotation_is_complex(arg, metadata, init_state):
+            return True
+        # _annotation_is_complex doesn't handle bare Union types, so when an arg
+        # is Annotated[Union[X, Y], ...], stripping Annotated yields a bare Union
+        # that _annotation_is_complex can't evaluate.  Recurse into it, but only
+        # if the Annotated metadata doesn't suppress complexity (e.g. Json).
+        inner = _strip_annotated(arg)
+        if inner is not arg:
+            _, *inner_meta = get_args(arg)
+            if any(isinstance(md, Json) for md in inner_meta):  # type: ignore[misc]
+                continue
+        if is_union_origin(get_origin(inner)) and _union_is_complex(inner, metadata, init_state):
+            return True
+    return False
+
+
+def _union_has_strict_types(annotation: type[Any] | None) -> bool:
+    """Check if a union type contains any strict-annotated types."""
+    for arg in get_args(annotation):
+        if typing_objects.is_annotated(get_origin(arg)):
+            _, *meta = get_args(arg)
+            if any(isinstance(m, Strict) for m in meta):
+                return True
+    return False
+
+
+def _annotation_contains_types(
+    annotation: type[Any] | None,
+    types: tuple[Any, ...],
+    is_include_origin: bool = True,
+    is_strip_annotated: bool = False,
+    is_instance: bool = False,
+    collect: set[Any] | None = None,
+) -> bool:
+    """Check if a type annotation contains any of the specified types."""
+    if is_strip_annotated:
+        annotation = _strip_annotated(annotation)
+    if is_include_origin is True:
+        origin = get_origin(annotation)
+        if origin in types:
+            if collect is None:
+                return True
+            collect.add(annotation)
+        if is_instance and any(isinstance(origin, type_) for type_ in types):
+            if collect is None:
+                return True
+            collect.add(annotation)
+    for type_ in get_args(annotation):
+        if (
+            _annotation_contains_types(
+                type_,
+                types,
+                is_include_origin=True,
+                is_strip_annotated=is_strip_annotated,
+                is_instance=is_instance,
+                collect=collect,
+            )
+            and collect is None
+        ):
+            return True
+    if is_instance and any(isinstance(annotation, type_) for type_ in types):
+        if collect is None:
+            return True
+        collect.add(annotation)
+    if annotation in types:
+        if collect is not None:
+            collect.add(annotation)
+        return True
+    return False
+
+
+def _strip_annotated(annotation: Any) -> Any:
+    if typing_objects.is_annotated(get_origin(annotation)):
+        return annotation.__origin__
+    else:
+        return annotation
+
+
+def _annotation_enum_val_to_name(annotation: type[Any] | None, value: Any) -> str | None:
+    for type_ in (annotation, get_origin(annotation)):
+        if _lenient_issubclass(type_, Enum):
+            enum_type = cast('type[Enum]', type_)
+            if value in enum_type.__members__.values():
+                return enum_type(value).name
+    for arg in get_args(annotation):
+        enum_name = _annotation_enum_val_to_name(arg, value)
+        if enum_name is not None:
+            return enum_name
+    return None
+
+
+def _annotation_enum_name_to_val(annotation: type[Any] | None, name: Any) -> Any:
+    for type_ in (annotation, get_origin(annotation)):
+        if _lenient_issubclass(type_, Enum):
+            enum_type = cast('type[Enum]', type_)
+            if name in enum_type.__members__:
+                return enum_type[name]
+    for arg in get_args(annotation):
+        enum_val = _annotation_enum_name_to_val(arg, name)
+        if enum_val is not None:
+            return enum_val
+    return None
+
+
+def _literal_has_numeric_enum(annotation: type[Any] | None) -> bool:
+    """Check if annotation is a Literal type containing numeric Enum members (IntEnum, (int, Enum), (float, Enum))."""
+    if typing_objects.is_literal(get_origin(annotation)):
+        return any(isinstance(arg, (int, float)) and isinstance(arg, Enum) for arg in get_args(annotation))
+    # Handle Annotated wrapping, e.g. Annotated[Literal[IntEnum.member], Field(...)]
+    if typing_objects.is_annotated(get_origin(annotation)):
+        inner = get_args(annotation)[0]
+        return _literal_has_numeric_enum(inner)
+    # Handle Union/Optional wrapping, e.g. Optional[Literal[IntEnum.member]]
+    if is_union_origin(get_origin(annotation)):
+        return any(_literal_has_numeric_enum(arg) for arg in get_args(annotation))
+    return False
+
+
+def _get_model_fields(model_cls: type[Any]) -> dict[str, FieldInfo]:
+    """Get fields from a pydantic model or dataclass."""
+
+    if is_pydantic_dataclass(model_cls) and hasattr(model_cls, '__pydantic_fields__'):
+        return model_cls.__pydantic_fields__
+    if is_model_class(model_cls):
+        return model_cls.model_fields
+    raise SettingsError(f'Error: {model_cls.__name__} is not subclass of BaseModel or pydantic.dataclasses.dataclass')
+
+
+def _get_alias_names(
+    field_name: str,
+    field_info: FieldInfo,
+    alias_path_args: dict[str, int | None] | None = None,
+    case_sensitive: bool = True,
+    populate_by_name: bool = False,
+) -> tuple[tuple[str, ...], bool]:
+    """Get alias names for a field, handling alias paths and case sensitivity."""
+    from pydantic import AliasChoices, AliasPath
+
+    alias_names: list[str] = []
+    is_alias_path_only: bool = True
+    if not any((field_info.alias, field_info.validation_alias)):
+        alias_names += [field_name]
+        is_alias_path_only = False
+    else:
+        new_alias_paths: list[AliasPath] = []
+        for alias in (field_info.alias, field_info.validation_alias):
+            if alias is None:
+                continue
+            elif isinstance(alias, str):
+                alias_names.append(alias)
+                is_alias_path_only = False
+            elif isinstance(alias, AliasChoices):
+                for name in alias.choices:
+                    if isinstance(name, str):
+                        alias_names.append(name)
+                        is_alias_path_only = False
+                    else:
+                        new_alias_paths.append(name)
+            else:
+                new_alias_paths.append(alias)
+        for alias_path in new_alias_paths:
+            name = cast(str, alias_path.path[0])
+            name = name.lower() if not case_sensitive else name
+            if alias_path_args is not None:
+                alias_path_args[name] = (
+                    alias_path.path[1] if len(alias_path.path) > 1 and isinstance(alias_path.path[1], int) else None
+                )
+            if not alias_names and is_alias_path_only:
+                alias_names.append(name)
+        if populate_by_name and field_name not in alias_names:
+            alias_names.append(field_name)
+            is_alias_path_only = False
+    if not case_sensitive:
+        alias_names = [alias_name.lower() for alias_name in alias_names]
+    return tuple(dict.fromkeys(alias_names)), is_alias_path_only
+
+
+def _is_function(obj: Any) -> bool:
+    """Check if an object is a function."""
+    from types import BuiltinFunctionType, FunctionType
+
+    return isinstance(obj, (FunctionType, BuiltinFunctionType))
+
+
+__all__ = [
+    'InitState',
+    '_annotation_contains_types',
+    '_annotation_enum_name_to_val',
+    '_annotation_enum_val_to_name',
+    '_annotation_is_complex',
+    '_annotation_is_complex_inner',
+    '_get_alias_names',
+    '_get_env_var_key',
+    '_get_model_fields',
+    '_is_function',
+    '_literal_has_numeric_enum',
+    '_parse_env_none_str',
+    '_resolve_type_alias',
+    '_strip_annotated',
+    '_union_has_strict_types',
+    '_union_is_complex',
+    '_warn_if_field_info_incomplete',
+    'parse_env_vars',
+]