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types.py
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types.py
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import re
from abc import ABC, abstractmethod
from enum import Enum, auto
from functools import lru_cache
from itertools import chain
from typing import (
TYPE_CHECKING,
Any,
Callable,
ClassVar,
Dict,
FrozenSet,
Iterable,
Iterator,
List,
Optional,
Pattern,
Sequence,
Set,
Tuple,
Type,
TypeVar,
Union,
)
import pydantic
from packaging import version
from pydantic import (
StrictBool,
StrictInt,
StrictStr,
create_model,
)
from datamodel_code_generator.format import PythonVersion
from datamodel_code_generator.imports import (
IMPORT_ABC_MAPPING,
IMPORT_ABC_SEQUENCE,
IMPORT_ABC_SET,
IMPORT_DICT,
IMPORT_FROZEN_SET,
IMPORT_LIST,
IMPORT_LITERAL,
IMPORT_LITERAL_BACKPORT,
IMPORT_MAPPING,
IMPORT_OPTIONAL,
IMPORT_SEQUENCE,
IMPORT_SET,
IMPORT_UNION,
Import,
)
from datamodel_code_generator.reference import Reference, _BaseModel
from datamodel_code_generator.util import (
PYDANTIC_V2,
ConfigDict,
Protocol,
runtime_checkable,
)
if PYDANTIC_V2:
from pydantic import GetCoreSchemaHandler
from pydantic_core import core_schema
T = TypeVar('T')
OPTIONAL = 'Optional'
OPTIONAL_PREFIX = f'{OPTIONAL}['
UNION = 'Union'
UNION_PREFIX = f'{UNION}['
UNION_DELIMITER = ', '
UNION_PATTERN: Pattern[str] = re.compile(r'\s*,\s*')
UNION_OPERATOR_DELIMITER = ' | '
UNION_OPERATOR_PATTERN: Pattern[str] = re.compile(r'\s*\|\s*')
NONE = 'None'
ANY = 'Any'
LITERAL = 'Literal'
SEQUENCE = 'Sequence'
FROZEN_SET = 'FrozenSet'
MAPPING = 'Mapping'
DICT = 'Dict'
SET = 'Set'
LIST = 'List'
STANDARD_DICT = 'dict'
STANDARD_LIST = 'list'
STANDARD_SET = 'set'
STR = 'str'
NOT_REQUIRED = 'NotRequired'
NOT_REQUIRED_PREFIX = f'{NOT_REQUIRED}['
class StrictTypes(Enum):
str = 'str'
bytes = 'bytes'
int = 'int'
float = 'float'
bool = 'bool'
class UnionIntFloat:
def __init__(self, value: Union[int, float]) -> None:
self.value: Union[int, float] = value
def __int__(self) -> int:
return int(self.value)
def __float__(self) -> float:
return float(self.value)
def __str__(self) -> str:
return str(self.value)
@classmethod
def __get_validators__(cls) -> Iterator[Callable[[Any], Any]]:
yield cls.validate
@classmethod
def __get_pydantic_core_schema__(
cls, _source_type: Any, _handler: 'GetCoreSchemaHandler'
) -> 'core_schema.CoreSchema':
from_int_schema = core_schema.chain_schema(
[
core_schema.union_schema(
[core_schema.int_schema(), core_schema.float_schema()]
),
core_schema.no_info_plain_validator_function(cls.validate),
]
)
return core_schema.json_or_python_schema(
json_schema=from_int_schema,
python_schema=core_schema.union_schema(
[
# check if it's an instance first before doing any further work
core_schema.is_instance_schema(UnionIntFloat),
from_int_schema,
]
),
serialization=core_schema.plain_serializer_function_ser_schema(
lambda instance: instance.value
),
)
@classmethod
def validate(cls, v: Any) -> 'UnionIntFloat':
if isinstance(v, UnionIntFloat):
return v
elif not isinstance(v, (int, float)): # pragma: no cover
try:
int(v)
return cls(v)
except (TypeError, ValueError):
pass
try:
float(v)
return cls(v)
except (TypeError, ValueError):
pass
raise TypeError(f'{v} is not int or float')
return cls(v)
def chain_as_tuple(*iterables: Iterable[T]) -> Tuple[T, ...]:
return tuple(chain(*iterables))
@lru_cache()
def _remove_none_from_type(
type_: str, split_pattern: Pattern[str], delimiter: str
) -> List[str]:
types: List[str] = []
split_type: str = ''
inner_count: int = 0
for part in re.split(split_pattern, type_):
if part == NONE:
continue
inner_count += part.count('[') - part.count(']')
if split_type:
split_type += delimiter
if inner_count == 0:
if split_type:
types.append(f'{split_type}{part}')
else:
types.append(part)
split_type = ''
continue
else:
split_type += part
return types
def _remove_none_from_union(type_: str, use_union_operator: bool) -> str:
if use_union_operator:
if not re.match(r'^\w+ | ', type_):
return type_
return UNION_OPERATOR_DELIMITER.join(
_remove_none_from_type(
type_, UNION_OPERATOR_PATTERN, UNION_OPERATOR_DELIMITER
)
)
if not type_.startswith(UNION_PREFIX):
return type_
inner_types = _remove_none_from_type(
type_[len(UNION_PREFIX) :][:-1], UNION_PATTERN, UNION_DELIMITER
)
if len(inner_types) == 1:
return inner_types[0]
return f'{UNION_PREFIX}{UNION_DELIMITER.join(inner_types)}]'
@lru_cache()
def get_optional_type(type_: str, use_union_operator: bool) -> str:
type_ = _remove_none_from_union(type_, use_union_operator)
if not type_ or type_ == NONE:
return NONE
if use_union_operator:
return f'{type_} | {NONE}'
return f'{OPTIONAL_PREFIX}{type_}]'
@runtime_checkable
class Modular(Protocol):
@property
def module_name(self) -> str:
raise NotImplementedError
@runtime_checkable
class Nullable(Protocol):
@property
def nullable(self) -> bool:
raise NotImplementedError
class DataType(_BaseModel):
if PYDANTIC_V2:
# TODO[pydantic]: The following keys were removed: `copy_on_model_validation`.
# Check https://docs.pydantic.dev/dev-v2/migration/#changes-to-config for more information.
model_config = ConfigDict(
extra='forbid',
revalidate_instances='never',
)
else:
if not TYPE_CHECKING:
@classmethod
def model_rebuild(cls) -> None:
cls.update_forward_refs()
class Config:
extra = 'forbid'
copy_on_model_validation = (
False
if version.parse(pydantic.VERSION) < version.parse('1.9.2')
else 'none'
)
type: Optional[str] = None
reference: Optional[Reference] = None
data_types: List['DataType'] = []
is_func: bool = False
kwargs: Optional[Dict[str, Any]] = None
import_: Optional[Import] = None
python_version: PythonVersion = PythonVersion.PY_37
is_optional: bool = False
is_dict: bool = False
is_list: bool = False
is_set: bool = False
is_custom_type: bool = False
literals: List[Union[StrictBool, StrictInt, StrictStr]] = []
use_standard_collections: bool = False
use_generic_container: bool = False
use_union_operator: bool = False
alias: Optional[str] = None
parent: Optional[Any] = None
children: List[Any] = []
strict: bool = False
dict_key: Optional['DataType'] = None
_exclude_fields: ClassVar[Set[str]] = {'parent', 'children'}
_pass_fields: ClassVar[Set[str]] = {'parent', 'children', 'data_types', 'reference'}
@classmethod
def from_import(
cls: Type['DataTypeT'],
import_: Import,
*,
is_optional: bool = False,
is_dict: bool = False,
is_list: bool = False,
is_set: bool = False,
is_custom_type: bool = False,
strict: bool = False,
kwargs: Optional[Dict[str, Any]] = None,
) -> 'DataTypeT':
return cls(
type=import_.import_,
import_=import_,
is_optional=is_optional,
is_dict=is_dict,
is_list=is_list,
is_set=is_set,
is_func=True if kwargs else False,
is_custom_type=is_custom_type,
strict=strict,
kwargs=kwargs,
)
@property
def unresolved_types(self) -> FrozenSet[str]:
return frozenset(
{
t.reference.path
for data_types in self.data_types
for t in data_types.all_data_types
if t.reference
}
| ({self.reference.path} if self.reference else set())
)
def replace_reference(self, reference: Optional[Reference]) -> None:
if not self.reference: # pragma: no cover
raise Exception(
f"`{self.__class__.__name__}.replace_reference()` can't be called"
f' when `reference` field is empty.'
)
self_id = id(self)
self.reference.children = [
c for c in self.reference.children if id(c) != self_id
]
self.reference = reference
if reference:
reference.children.append(self)
def remove_reference(self) -> None:
self.replace_reference(None)
@property
def module_name(self) -> Optional[str]:
if self.reference and isinstance(self.reference.source, Modular):
return self.reference.source.module_name
return None # pragma: no cover
@property
def full_name(self) -> str:
module_name = self.module_name
if module_name:
return f'{module_name}.{self.reference.short_name}' # type: ignore
return self.reference.short_name # type: ignore
@property
def all_data_types(self) -> Iterator['DataType']:
for data_type in self.data_types:
yield from data_type.all_data_types
yield self
@property
def all_imports(self) -> Iterator[Import]:
for data_type in self.data_types:
yield from data_type.all_imports
yield from self.imports
@property
def imports(self) -> Iterator[Import]:
if self.import_:
yield self.import_
imports: Tuple[Tuple[bool, Import], ...] = (
(self.is_optional and not self.use_union_operator, IMPORT_OPTIONAL),
(len(self.data_types) > 1 and not self.use_union_operator, IMPORT_UNION),
)
if any(self.literals):
import_literal = (
IMPORT_LITERAL
if self.python_version.has_literal_type
else IMPORT_LITERAL_BACKPORT
)
imports = (
*imports,
(any(self.literals), import_literal),
)
if self.use_generic_container:
if self.use_standard_collections:
imports = (
*imports,
(self.is_list, IMPORT_ABC_SEQUENCE),
(self.is_set, IMPORT_ABC_SET),
(self.is_dict, IMPORT_ABC_MAPPING),
)
else:
imports = (
*imports,
(self.is_list, IMPORT_SEQUENCE),
(self.is_set, IMPORT_FROZEN_SET),
(self.is_dict, IMPORT_MAPPING),
)
elif not self.use_standard_collections:
imports = (
*imports,
(self.is_list, IMPORT_LIST),
(self.is_set, IMPORT_SET),
(self.is_dict, IMPORT_DICT),
)
for field, import_ in imports:
if field and import_ != self.import_:
yield import_
if self.dict_key:
yield from self.dict_key.imports
def __init__(self, **values: Any) -> None:
if not TYPE_CHECKING:
super().__init__(**values)
for type_ in self.data_types:
if type_.type == ANY and type_.is_optional:
if any(t for t in self.data_types if t.type != ANY): # pragma: no cover
self.is_optional = True
self.data_types = [
t
for t in self.data_types
if not (t.type == ANY and t.is_optional)
]
break # pragma: no cover
for data_type in self.data_types:
if data_type.reference or data_type.data_types:
data_type.parent = self
if self.reference:
self.reference.children.append(self)
@property
def type_hint(self) -> str:
type_: Optional[str] = self.alias or self.type
if not type_:
if self.is_union:
data_types: List[str] = []
for data_type in self.data_types:
data_type_type = data_type.type_hint
if data_type_type in data_types: # pragma: no cover
continue
if NONE == data_type_type:
self.is_optional = True
continue
non_optional_data_type_type = _remove_none_from_union(
data_type_type, self.use_union_operator
)
if non_optional_data_type_type != data_type_type:
self.is_optional = True
data_types.append(non_optional_data_type_type)
if len(data_types) == 1:
type_ = data_types[0]
else:
if self.use_union_operator:
type_ = UNION_OPERATOR_DELIMITER.join(data_types)
else:
type_ = f'{UNION_PREFIX}{UNION_DELIMITER.join(data_types)}]'
elif len(self.data_types) == 1:
type_ = self.data_types[0].type_hint
elif self.literals:
type_ = f"{LITERAL}[{', '.join(repr(literal) for literal in self.literals)}]"
else:
if self.reference:
type_ = self.reference.short_name
else:
# TODO support strict Any
# type_ = 'Any'
type_ = ''
if self.reference:
source = self.reference.source
if isinstance(source, Nullable) and source.nullable:
self.is_optional = True
if self.reference and self.python_version == PythonVersion.PY_36:
type_ = f"'{type_}'"
if self.is_list:
if self.use_generic_container:
list_ = SEQUENCE
elif self.use_standard_collections:
list_ = STANDARD_LIST
else:
list_ = LIST
type_ = f'{list_}[{type_}]' if type_ else list_
elif self.is_set:
if self.use_generic_container:
set_ = FROZEN_SET
elif self.use_standard_collections:
set_ = STANDARD_SET
else:
set_ = SET
type_ = f'{set_}[{type_}]' if type_ else set_
elif self.is_dict:
if self.use_generic_container:
dict_ = MAPPING
elif self.use_standard_collections:
dict_ = STANDARD_DICT
else:
dict_ = DICT
if self.dict_key or type_:
key = self.dict_key.type_hint if self.dict_key else STR
type_ = f'{dict_}[{key}, {type_ or ANY}]'
else: # pragma: no cover
type_ = dict_
if self.is_optional and type_ != ANY:
return get_optional_type(type_, self.use_union_operator)
elif self.is_func:
if self.kwargs:
kwargs: str = ', '.join(f'{k}={v}' for k, v in self.kwargs.items())
return f'{type_}({kwargs})'
return f'{type_}()'
return type_
@property
def is_union(self) -> bool:
return len(self.data_types) > 1
DataType.model_rebuild()
DataTypeT = TypeVar('DataTypeT', bound=DataType)
class EmptyDataType(DataType):
pass
class Types(Enum):
integer = auto()
int32 = auto()
int64 = auto()
number = auto()
float = auto()
double = auto()
decimal = auto()
time = auto()
string = auto()
byte = auto()
binary = auto()
date = auto()
date_time = auto()
password = auto()
path = auto()
email = auto()
uuid = auto()
uuid1 = auto()
uuid2 = auto()
uuid3 = auto()
uuid4 = auto()
uuid5 = auto()
uri = auto()
hostname = auto()
ipv4 = auto()
ipv4_network = auto()
ipv6 = auto()
ipv6_network = auto()
boolean = auto()
object = auto()
null = auto()
array = auto()
any = auto()
class DataTypeManager(ABC):
def __init__(
self,
python_version: PythonVersion = PythonVersion.PY_37,
use_standard_collections: bool = False,
use_generic_container_types: bool = False,
strict_types: Optional[Sequence[StrictTypes]] = None,
use_non_positive_negative_number_constrained_types: bool = False,
use_union_operator: bool = False,
use_pendulum: bool = False,
) -> None:
self.python_version = python_version
self.use_standard_collections: bool = use_standard_collections
self.use_generic_container_types: bool = use_generic_container_types
self.strict_types: Sequence[StrictTypes] = strict_types or ()
self.use_non_positive_negative_number_constrained_types: bool = (
use_non_positive_negative_number_constrained_types
)
self.use_union_operator: bool = use_union_operator
self.use_pendulum: bool = use_pendulum
if (
use_generic_container_types and python_version == PythonVersion.PY_36
): # pragma: no cover
raise Exception(
'use_generic_container_types can not be used with target_python_version 3.6.\n'
' The version will be not supported in a future version'
)
if TYPE_CHECKING:
self.data_type: Type[DataType]
else:
self.data_type: Type[DataType] = create_model(
'ContextDataType',
python_version=(PythonVersion, python_version),
use_standard_collections=(bool, use_standard_collections),
use_generic_container=(bool, use_generic_container_types),
use_union_operator=(bool, use_union_operator),
__base__=DataType,
)
@abstractmethod
def get_data_type(self, types: Types, **kwargs: Any) -> DataType:
raise NotImplementedError
def get_data_type_from_full_path(
self, full_path: str, is_custom_type: bool
) -> DataType:
return self.data_type.from_import(
Import.from_full_path(full_path), is_custom_type=is_custom_type
)
def get_data_type_from_value(self, value: Any) -> DataType:
type_: Optional[Types] = None
if isinstance(value, str):
type_ = Types.string
elif isinstance(value, bool):
type_ = Types.boolean
elif isinstance(value, int):
type_ = Types.integer
elif isinstance(value, float):
type_ = Types.float
elif isinstance(value, dict):
return self.data_type.from_import(IMPORT_DICT)
elif isinstance(value, list):
return self.data_type.from_import(IMPORT_LIST)
else:
type_ = Types.any
return self.get_data_type(type_)