晋太元中,武陵人捕鱼为业。缘溪行,忘路之远近。忽逢桃花林,夹岸数百步,中无杂树,芳草鲜美,落英缤纷。渔人甚异之,复前行,欲穷其林。 林尽水源,便得一山,山有小口,仿佛若有光。便舍船,从口入。初极狭,才通人。复行数十步,豁然开朗。土地平旷,屋舍俨然,有良田、美池、桑竹之属。阡陌交通,鸡犬相闻。其中往来种作,男女衣着,悉如外人。黄发垂髫,并怡然自乐。 见渔人,乃大惊,问所从来。具答之。便要还家,设酒杀鸡作食。村中闻有此人,咸来问讯。自云先世避秦时乱,率妻子邑人来此绝境,不复出焉,遂与外人间隔。问今是何世,乃不知有汉,无论魏晋。此人一一为具言所闻,皆叹惋。余人各复延至其家,皆出酒食。停数日,辞去。此中人语云:“不足为外人道也。”(间隔 一作:隔绝) 既出,得其船,便扶向路,处处志之。及郡下,诣太守,说如此。太守即遣人随其往,寻向所志,遂迷,不复得路。 南阳刘子骥,高尚士也,闻之,欣然规往。未果,寻病终。后遂无问津者。
| DIR:/opt/cloudlinux/venv/lib64/python3.11/site-packages/pydantic/v1/ |
| Current File : //opt/cloudlinux/venv/lib64/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
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