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Direktori : /opt/cloudlinux/venv/lib/python3.11/site-packages/pydantic/v1/ |
Current File : //opt/cloudlinux/venv/lib/python3.11/site-packages/pydantic/v1/error_wrappers.py |
import json from typing import TYPE_CHECKING, Any, Dict, Generator, List, Optional, Sequence, Tuple, Type, Union from .json import pydantic_encoder from .utils import Representation if TYPE_CHECKING: from typing_extensions import TypedDict from .config import BaseConfig from .types import ModelOrDc from .typing import ReprArgs Loc = Tuple[Union[int, str], ...] class _ErrorDictRequired(TypedDict): loc: Loc msg: str type: str class ErrorDict(_ErrorDictRequired, total=False): ctx: Dict[str, Any] __all__ = 'ErrorWrapper', 'ValidationError' class ErrorWrapper(Representation): __slots__ = 'exc', '_loc' def __init__(self, exc: Exception, loc: Union[str, 'Loc']) -> None: self.exc = exc self._loc = loc def loc_tuple(self) -> 'Loc': if isinstance(self._loc, tuple): return self._loc else: return (self._loc,) def __repr_args__(self) -> 'ReprArgs': return [('exc', self.exc), ('loc', self.loc_tuple())] # ErrorList is something like Union[List[Union[List[ErrorWrapper], ErrorWrapper]], ErrorWrapper] # but recursive, therefore just use: ErrorList = Union[Sequence[Any], ErrorWrapper] class ValidationError(Representation, ValueError): __slots__ = 'raw_errors', 'model', '_error_cache' def __init__(self, errors: Sequence[ErrorList], model: 'ModelOrDc') -> None: self.raw_errors = errors self.model = model self._error_cache: Optional[List['ErrorDict']] = None def errors(self) -> List['ErrorDict']: if self._error_cache is None: try: config = self.model.__config__ # type: ignore except AttributeError: config = self.model.__pydantic_model__.__config__ # type: ignore self._error_cache = list(flatten_errors(self.raw_errors, config)) return self._error_cache def json(self, *, indent: Union[None, int, str] = 2) -> str: return json.dumps(self.errors(), indent=indent, default=pydantic_encoder) def __str__(self) -> str: errors = self.errors() no_errors = len(errors) return ( f'{no_errors} validation error{"" if no_errors == 1 else "s"} for {self.model.__name__}\n' f'{display_errors(errors)}' ) def __repr_args__(self) -> 'ReprArgs': return [('model', self.model.__name__), ('errors', self.errors())] def display_errors(errors: List['ErrorDict']) -> str: return '\n'.join(f'{_display_error_loc(e)}\n {e["msg"]} ({_display_error_type_and_ctx(e)})' for e in errors) def _display_error_loc(error: 'ErrorDict') -> str: return ' -> '.join(str(e) for e in error['loc']) def _display_error_type_and_ctx(error: 'ErrorDict') -> str: t = 'type=' + error['type'] ctx = error.get('ctx') if ctx: return t + ''.join(f'; {k}={v}' for k, v in ctx.items()) else: return t def flatten_errors( errors: Sequence[Any], config: Type['BaseConfig'], loc: Optional['Loc'] = None ) -> Generator['ErrorDict', None, None]: for error in errors: if isinstance(error, ErrorWrapper): if loc: error_loc = loc + error.loc_tuple() else: error_loc = error.loc_tuple() if isinstance(error.exc, ValidationError): yield from flatten_errors(error.exc.raw_errors, config, error_loc) else: yield error_dict(error.exc, config, error_loc) elif isinstance(error, list): yield from flatten_errors(error, config, loc=loc) else: raise RuntimeError(f'Unknown error object: {error}') def error_dict(exc: Exception, config: Type['BaseConfig'], loc: 'Loc') -> 'ErrorDict': type_ = get_exc_type(exc.__class__) msg_template = config.error_msg_templates.get(type_) or getattr(exc, 'msg_template', None) ctx = exc.__dict__ if msg_template: msg = msg_template.format(**ctx) else: msg = str(exc) d: 'ErrorDict' = {'loc': loc, 'msg': msg, 'type': type_} if ctx: d['ctx'] = ctx return d _EXC_TYPE_CACHE: Dict[Type[Exception], str] = {} def get_exc_type(cls: Type[Exception]) -> str: # slightly more efficient than using lru_cache since we don't need to worry about the cache filling up try: return _EXC_TYPE_CACHE[cls] except KeyError: r = _get_exc_type(cls) _EXC_TYPE_CACHE[cls] = r return r def _get_exc_type(cls: Type[Exception]) -> str: if issubclass(cls, AssertionError): return 'assertion_error' base_name = 'type_error' if issubclass(cls, TypeError) else 'value_error' if cls in (TypeError, ValueError): # just TypeError or ValueError, no extra code return base_name # if it's not a TypeError or ValueError, we just take the lowercase of the exception name # no chaining or snake case logic, use "code" for more complex error types. code = getattr(cls, 'code', None) or cls.__name__.replace('Error', '').lower() return base_name + '.' + code