154 lines
3.7 KiB
Python
154 lines
3.7 KiB
Python
import datetime
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import decimal
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from typing import Any
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import pydantic
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import sqlalchemy
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from orm.exceptions import ModelDefinitionError
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class BaseField:
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__type__ = None
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def __new__(cls, *args, **kwargs):
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cls.__annotations__ = {}
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return super().__new__(cls)
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def __init__(self, *args, **kwargs):
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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', 'auto')
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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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def get_column(self, name=None) -> sqlalchemy.Column:
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name = self.name or name
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constraints = self.get_constraints()
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return sqlalchemy.Column(
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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):
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return []
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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__ = pydantic.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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