230 lines
7.3 KiB
Python
230 lines
7.3 KiB
Python
import datetime
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import decimal
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from typing import Optional, List
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import sqlalchemy
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from pydantic import Json
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from pydantic.fields import ModelField
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from orm.exceptions import ModelDefinitionError, RelationshipInstanceError
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class BaseField:
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__type__ = None
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def __init__(self, *args, **kwargs) -> None:
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name = kwargs.pop('name', None)
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args = list(args)
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if args:
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if isinstance(args[0], str):
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if name is not None:
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raise ModelDefinitionError(
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'Column name cannot be passed positionally and as a keyword.'
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)
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name = args.pop(0)
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self.name = name
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self.primary_key = kwargs.pop('primary_key', False)
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self.autoincrement = kwargs.pop('autoincrement', self.primary_key and self.__type__ == int)
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self.nullable = kwargs.pop('nullable', not self.primary_key)
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self.default = kwargs.pop('default', None)
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self.server_default = kwargs.pop('server_default', None)
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self.index = kwargs.pop('index', None)
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self.unique = kwargs.pop('unique', None)
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self.pydantic_only = kwargs.pop('pydantic_only', False)
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if self.pydantic_only and self.primary_key:
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raise ModelDefinitionError('Primary key column cannot be pydantic only.')
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@property
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def is_required(self):
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return not self.nullable and not self.has_default and not self.is_auto_primary_key
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@property
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def default_value(self):
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default = self.default if self.default is not None else self.server_default
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return default() if callable(default) else default
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@property
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def has_default(self):
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return self.default is not None or self.server_default is not None
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@property
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def is_auto_primary_key(self):
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if self.primary_key:
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return self.autoincrement
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return False
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def get_column(self, name: str = None) -> sqlalchemy.Column:
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self.name = self.name or name
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constraints = self.get_constraints()
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return sqlalchemy.Column(
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self.name,
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self.get_column_type(),
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*constraints,
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primary_key=self.primary_key,
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autoincrement=self.autoincrement,
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nullable=self.nullable,
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index=self.index,
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unique=self.unique,
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default=self.default,
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server_default=self.server_default
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)
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def get_column_type(self) -> sqlalchemy.types.TypeEngine:
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raise NotImplementedError() # pragma: no cover
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def get_constraints(self) -> Optional[List]:
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return []
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def expand_relationship(self, value, child):
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return value
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class String(BaseField):
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__type__ = str
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def __init__(self, *args, **kwargs):
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assert 'length' in kwargs, 'length is required'
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self.length = kwargs.pop('length')
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super().__init__(*args, **kwargs)
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def get_column_type(self):
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return sqlalchemy.String(self.length)
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class Integer(BaseField):
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__type__ = int
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def get_column_type(self):
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return sqlalchemy.Integer()
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class Text(BaseField):
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__type__ = str
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def get_column_type(self):
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return sqlalchemy.Text()
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class Float(BaseField):
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__type__ = float
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def get_column_type(self):
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return sqlalchemy.Float()
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class Boolean(BaseField):
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__type__ = bool
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def get_column_type(self):
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return sqlalchemy.Boolean()
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class DateTime(BaseField):
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__type__ = datetime.datetime
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def get_column_type(self):
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return sqlalchemy.DateTime()
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class Date(BaseField):
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__type__ = datetime.date
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def get_column_type(self):
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return sqlalchemy.Date()
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class Time(BaseField):
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__type__ = datetime.time
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def get_column_type(self):
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return sqlalchemy.Time()
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class JSON(BaseField):
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__type__ = Json
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def get_column_type(self):
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return sqlalchemy.JSON()
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class BigInteger(BaseField):
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__type__ = int
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def get_column_type(self):
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return sqlalchemy.BigInteger()
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class Decimal(BaseField):
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__type__ = decimal.Decimal
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def __init__(self, *args, **kwargs):
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assert 'precision' in kwargs, 'precision is required'
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assert 'length' in kwargs, 'length is required'
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self.length = kwargs.pop('length')
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self.precision = kwargs.pop('precision')
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super().__init__(*args, **kwargs)
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def get_column_type(self):
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return sqlalchemy.DECIMAL(self.length, self.precision)
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class ForeignKey(BaseField):
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def __init__(self, to, related_name: str = None, nullable: bool = False, virtual: bool = False):
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super().__init__(nullable=nullable)
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self.virtual = virtual
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self.related_name = related_name
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self.to = to
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@property
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def __type__(self):
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return self.to.__pydantic_model__
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def get_constraints(self):
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fk_string = self.to.__tablename__ + "." + self.to.__pkname__
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return [sqlalchemy.schema.ForeignKey(fk_string)]
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def get_column_type(self):
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to_column = self.to.__model_fields__[self.to.__pkname__]
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return to_column.get_column_type()
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def expand_relationship(self, value, child):
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if not isinstance(value, (self.to, dict, int, str)):
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raise RelationshipInstanceError(
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'Relationship model can be build only from orm.Model, dict and integer or string (pk).')
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if isinstance(value, self.to):
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model = value
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elif isinstance(value, dict):
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model = self.to(**value)
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else:
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model = self.to(**{self.to.__pkname__: value})
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child_model_name = self.related_name or child.__class__.__name__.lower() + 's'
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model._orm_relationship_manager.add_relation(model.__class__.__name__.lower(),
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child.__class__.__name__.lower(),
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model, child, virtual=self.virtual)
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if child_model_name not in model.__fields__:
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model.__fields__[child_model_name] = ModelField(name=child_model_name,
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type_=Optional[child.__pydantic_model__],
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model_config=child.__pydantic_model__.__config__,
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class_validators=child.__pydantic_model__.__validators__)
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model.__model_fields__[child_model_name] = ForeignKey(child.__class__, virtual=True)
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return model
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# def register_relationship(self):
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# child_model_name = self.related_name or child.__class__.__name__.lower() + 's'
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# if not child_model_name in model._orm_relationship_manager:
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# model._orm_relationship_manager.add(
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# Relationship(name=child_model_name, child=child, parent=model, fk_side='child'))
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# model.__fields__[child_model_name] = ModelField(name=child_model_name,
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# type_=Optional[child.__pydantic_model__],
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# model_config=child.__pydantic_model__.__config__,
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# class_validators=child.__pydantic_model__.__validators__)
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# model.__model_fields__[child_model_name] = ForeignKey(child.__class__, virtual=True)
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# breakpoint()
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