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CVS log for pkgsrc/databases/py-peewee/distinfo

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Default branch: MAIN
Current tag: pkgsrc-2018Q3

Revision 1.40 / (download) - annotate - [select for diffs], Fri Sep 7 09:01:09 2018 UTC (12 months, 1 week ago) by adam
Branch: MAIN
CVS Tags: pkgsrc-2018Q3-base, pkgsrc-2018Q3
Changes since 1.39: +5 -5 lines
Diff to previous 1.39 (colored)

py-peewee: updated to 3.7.0


Backwards-incompatible changes
* Pool database close_all() method renamed to close_idle() to better
  reflect the actual behavior.
* Databases will now raise InterfaceError when connect() or close() are
  called on an uninitialized, deferred database object.

New features
* Add methods to the migrations extension to support adding and dropping table
* Add Model.bulk_create() method for bulk-inserting unsaved model instances.
* Add close_stale() method to the connection pool to support closing stale
* The FlaskDB class in playhouse.flask_utils now accepts a model_class
  parameter, which can be used to specify a custom base-class for models.

* Parentheses were not added to subqueries used in function calls with more
  than one argument.
* Fixed bug when attempting to serialize many-to-many fields which were created
  initially with a DeferredThroughModel.
* Fixed bug when using the Postgres ArrayField with an array of BlobField.
* Allow Proxy databases to be used as a context-manager.
* Fixed bug where the APSW driver was referring to the SQLite version from the
  standard library sqlite3 driver, rather than from apsw.
* Reflection library attempts to wrap server-side column defaults in quotation
  marks if the column data-type is text/varchar.
* Missing import in migrations library, which would cause errors when
  attempting to add indexes whose name exceeded 64 chars.
* When using the Postgres connection pool, ensure any open/pending transactions
  are rolled-back when the connection is recycled.
* Even *more* changes to the script. In this case I've added a
  helper function which will reliably determine if the SQLite3 extensions can
  be built. This follows the approach taken by the Python YAML package.

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