162 lines
5.0 KiB
Python
162 lines
5.0 KiB
Python
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
|