Source code for xsdata.models.mixins

import sys
from abc import ABC
from abc import abstractmethod
from dataclasses import dataclass
from dataclasses import Field
from dataclasses import field
from dataclasses import fields
from dataclasses import is_dataclass
from typing import Any
from typing import Dict
from typing import Iterator
from typing import Optional
from typing import Type
from typing import TypeVar

from lxml import etree

from xsdata.models.enums import FormType
from xsdata.models.enums import Namespace
from xsdata.utils import text


[docs]class NamedField: @property def real_type(self) -> Optional[str]: raise NotImplementedError( "%s::real_type missing implementation", self.__class__.__name__ ) @property def real_name(self) -> str: name = getattr(self, "name", None) or getattr(self, "ref", None) if name: return name raise NotImplementedError("Element has no name: {}".format(self)) @property def is_abstract(self) -> bool: return getattr(self, "abstract", False) @property def is_qualified(self): return getattr(self, "form", FormType.UNQUALIFIED) == FormType.QUALIFIED @property def prefix(self): prefix, _ = text.split(getattr(self, "ref", "") or "") return prefix
[docs]class RestrictedField(ABC):
[docs] @abstractmethod def get_restrictions(self) -> Dict[str, Any]: pass
[docs]class OccurrencesMixin:
[docs] def get_restrictions(self) -> Dict[str, Any]: min_occurs = getattr(self, "min_occurs", None) max_occurs = getattr(self, "max_occurs", None) if min_occurs == max_occurs == 1: return dict(required=True) if max_occurs > min_occurs and max_occurs > 1: return dict(min_occurs=min_occurs, max_occurs=max_occurs) return dict()
T = TypeVar("T", bound="BaseModel")
[docs]class BaseModel: def __init__(self, *args, **kwargs): pass
[docs] @classmethod def create(cls: Type[T], **kwargs) -> T: if not kwargs.get("nsmap"): kwargs.update({"nsmap": {"xs": Namespace.SCHEMA}}) kwargs = { text.snake_case(etree.QName(key).localname): value for key, value in kwargs.items() if value is not None } data = { attr.name: cls.prepare_value(attr, kwargs) for attr in fields(cls) if attr.name in kwargs } return cls(**data)
[docs] @classmethod def prepare_value(cls, attr: Field, kwargs: Dict) -> Any: name = attr.name value = kwargs[name] if is_dataclass(value): return value if isinstance(value, dict): return value if isinstance(value, list): return value clazz = attr.type if name == "max_occurs" and value == "unbounded": return sys.maxsize # Optional if hasattr(clazz, "__origin__"): clazz = clazz.__args__[0] try: if clazz is bool: return value == "true" or value is True if clazz is int: return int(value) if clazz is float: return float(value) except ValueError: return str(value) return clazz(value)
[docs]@dataclass class ElementBase(BaseModel): index: int = field(default_factory=int) id: Optional[str] = None
[docs] def children(self): for attribute in fields(self): value = getattr(self, attribute.name) if ( isinstance(value, list) and len(value) and isinstance(value[0], ElementBase) ): for v in value: yield v elif isinstance(value, ElementBase): yield value
@property def is_attribute(self) -> bool: return False @property def is_mixed(self): return False @property def extends(self) -> Optional[str]: return None @property def extensions(self) -> Iterator[str]: extends = self.extends or "" return filter(None, extends.split(" ")) @property def num(self): return sum( [ len(getattr(self, attribute.name)) for attribute in fields(self) if isinstance(getattr(self, attribute.name), list) ] )