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authorMike Bayer <mike_mp@zzzcomputing.com>2021-02-22 09:55:21 -0500
committerMike Bayer <mike_mp@zzzcomputing.com>2021-02-22 09:55:21 -0500
commitfcf539d090a95fb179ca03beffd10122e97aa002 (patch)
tree3c3d6be5255c326a436cc3574bb7e5b2364c65dd /lib/sqlalchemy/dialects/postgresql/base.py
parentde96fb2002c816ff96b991dfb050ed2b39f7385b (diff)
downloadsqlalchemy-fcf539d090a95fb179ca03beffd10122e97aa002.tar.gz
document TypeDecorator schemes for MONEY
this type apparently returns strings so document cast/processing options. Change-Id: Idc19527dcf76e1c2d966425716c0fcf60cbba5dc References: #5965
Diffstat (limited to 'lib/sqlalchemy/dialects/postgresql/base.py')
-rw-r--r--lib/sqlalchemy/dialects/postgresql/base.py36
1 files changed, 35 insertions, 1 deletions
diff --git a/lib/sqlalchemy/dialects/postgresql/base.py b/lib/sqlalchemy/dialects/postgresql/base.py
index 336265552..d34d8dd17 100644
--- a/lib/sqlalchemy/dialects/postgresql/base.py
+++ b/lib/sqlalchemy/dialects/postgresql/base.py
@@ -1539,7 +1539,41 @@ PGMacAddr = MACADDR
class MONEY(sqltypes.TypeEngine):
- """Provide the PostgreSQL MONEY type.
+ r"""Provide the PostgreSQL MONEY type.
+
+ Depending on driver, result rows using this type may return a
+ string value which includes currency symbols.
+
+ For this reason, it may be preferable to provide conversion to a
+ numerically-based currency datatype using :class:`_types.TypeDecorator`::
+
+ import re
+ import decimal
+ from sqlalchemy import TypeDecorator
+
+ class NumericMoney(TypeDecorator):
+ impl = MONEY
+
+ def process_result_value(self, value: Any, dialect: Any) -> None:
+ if value is not None:
+ # adjust this for the currency and numeric
+ m = re.match(r"\$([\d.]+)", value)
+ if m:
+ value = decimal.Decimal(m.group(1))
+ return value
+
+ Alternatively, the conversion may be applied as a CAST using
+ the :meth:`_types.TypeDecorator.column_expression` method as follows::
+
+ import decimal
+ from sqlalchemy import cast
+ from sqlalchemy import TypeDecorator
+
+ class NumericMoney(TypeDecorator):
+ impl = MONEY
+
+ def column_expression(self, column: Any):
+ return cast(column, Numeric())
.. versionadded:: 1.2