SQLalchemy gives me the following warning when I use a Numeric column with an SQLite database engine.
SAWarning: Dialect sqlite+pysqlite does not support Decimal objects natively
I'm trying to figure out the best way to have pkgPrice = Column(Numeric(12,2))
in SQLalchemy while still using SQLite.
This question [1] How to convert Python decimal to SQLite numeric? shows a way to use sqlite3.register_adapter(D, adapt_decimal)
to have SQLite receive and return Decimal, but store Strings, but I don't know how to dig into the SQLAlchemy core to do this yet. Type Decorators look like the right approach but I don't grok them yet.
Does anyone have a SQLAlchemy Type Decorator Recipe that will have Numeric or Decimal numbers in the SQLAlchemy model, but store them as strings in SQLite?
Precision is the number of digits in a number. Scale is the number of digits to the right of the decimal point in a number. For example, the number 123.45 has a precision of 5 and a scale of 2. In SQL Server, the default maximum precision of numeric and decimal data types is 38.
There is two methods: float_number = float ( decimal_number ) float_number = decimal_number * 1.0.
SQLAlchemy is very, very fast. It's just that users tend to be unaware of just how much functionality is being delivered, and confuse an ORM result set with that of a raw database cursor.
from decimal import Decimal as D import sqlalchemy.types as types class SqliteNumeric(types.TypeDecorator): impl = types.String def load_dialect_impl(self, dialect): return dialect.type_descriptor(types.VARCHAR(100)) def process_bind_param(self, value, dialect): return str(value) def process_result_value(self, value, dialect): return D(value) # can overwrite the imported type name # @note: the TypeDecorator does not guarantie the scale and precision. # you can do this with separate checks Numeric = SqliteNumeric class T(Base): __tablename__ = 't' id = Column(Integer, primary_key=True, nullable=False, unique=True) value = Column(Numeric(12, 2), nullable=False) #value = Column(SqliteNumeric(12, 2), nullable=False) def __init__(self, value): self.value = value
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