[orm] [bug] Added constructor arguments to the built-in mapping collection types
including KeyFuncDict, _orm.attribute_keyed_dict(),
_orm.column_keyed_dict() so that these dictionary types may be
constructed in place given the data up front; this provides further
compatibility with tools such as Python dataclasses .asdict() which
relies upon invoking these classes directly as ordinary dictionary classes.
[orm] [bug] [regression] Fixed multiple regressions due to #8372, involving
_orm.attribute_mapped_collection() (now called
_orm.attribute_keyed_dict()).
First, the collection was no longer usable with "key" attributes that were
not themselves ordinary mapped attributes; attributes linked to descriptors
and/or association proxy attributes have been fixed.
Second, if an event or other operation needed access to the "key" in order
to populate the dictionary from an mapped attribute that was not
loaded, this also would raise an error inappropriately, rather than
trying to load the attribute as was the behavior in 1.4. This is also
fixed.
For both cases, the behavior of #8372 has been expanded.
#8372 introduced an error that raises when the derived key that
would be used as a mapped dictionary key is effectively unassigned. In this
change, a warning only is emitted if the effective value of the ".key"
attribute is None, where it cannot be unambiguously determined if this
None was intentional or not. None will be not supported as mapped
collection dictionary keys going forward (as it typically refers to NULL
which means "unknown"). Setting
_orm.attribute_keyed_dict.ignore_unpopulated_attribute will now
cause such None keys to be ignored as well.
[orm] [bug] Identified that the sqlite and mssql+pyodbc dialects are now
compatible with the SQLAlchemy ORM's "versioned rows" feature, since
SQLAlchemy now computes rowcount for a RETURNING statement in this specific
case by counting the rows returned, rather than relying upon
cursor.rowcount. In particular, the ORM versioned rows use case
(documented at mapper_version_counter) should now be fully
supported with the SQL Server pyodbc dialect.
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Bumps sqlalchemy from 1.4.22 to 2.0.5.post1.
Release notes
Sourced from sqlalchemy's releases.
... (truncated)
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