1552 lines
51 KiB
Python
1552 lines
51 KiB
Python
# orm/collections.py
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# Copyright (C) 2005-2018 the SQLAlchemy authors and contributors
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# <see AUTHORS file>
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#
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# This module is part of SQLAlchemy and is released under
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# the MIT License: http://www.opensource.org/licenses/mit-license.php
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"""Support for collections of mapped entities.
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The collections package supplies the machinery used to inform the ORM of
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collection membership changes. An instrumentation via decoration approach is
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used, allowing arbitrary types (including built-ins) to be used as entity
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collections without requiring inheritance from a base class.
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Instrumentation decoration relays membership change events to the
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:class:`.CollectionAttributeImpl` that is currently managing the collection.
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The decorators observe function call arguments and return values, tracking
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entities entering or leaving the collection. Two decorator approaches are
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provided. One is a bundle of generic decorators that map function arguments
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and return values to events::
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from sqlalchemy.orm.collections import collection
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class MyClass(object):
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# ...
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@collection.adds(1)
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def store(self, item):
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self.data.append(item)
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@collection.removes_return()
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def pop(self):
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return self.data.pop()
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The second approach is a bundle of targeted decorators that wrap appropriate
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append and remove notifiers around the mutation methods present in the
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standard Python ``list``, ``set`` and ``dict`` interfaces. These could be
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specified in terms of generic decorator recipes, but are instead hand-tooled
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for increased efficiency. The targeted decorators occasionally implement
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adapter-like behavior, such as mapping bulk-set methods (``extend``,
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``update``, ``__setslice__``, etc.) into the series of atomic mutation events
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that the ORM requires.
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The targeted decorators are used internally for automatic instrumentation of
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entity collection classes. Every collection class goes through a
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transformation process roughly like so:
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1. If the class is a built-in, substitute a trivial sub-class
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2. Is this class already instrumented?
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3. Add in generic decorators
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4. Sniff out the collection interface through duck-typing
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5. Add targeted decoration to any undecorated interface method
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This process modifies the class at runtime, decorating methods and adding some
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bookkeeping properties. This isn't possible (or desirable) for built-in
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classes like ``list``, so trivial sub-classes are substituted to hold
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decoration::
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class InstrumentedList(list):
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pass
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Collection classes can be specified in ``relationship(collection_class=)`` as
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types or a function that returns an instance. Collection classes are
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inspected and instrumented during the mapper compilation phase. The
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collection_class callable will be executed once to produce a specimen
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instance, and the type of that specimen will be instrumented. Functions that
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return built-in types like ``lists`` will be adapted to produce instrumented
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instances.
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When extending a known type like ``list``, additional decorations are not
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generally not needed. Odds are, the extension method will delegate to a
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method that's already instrumented. For example::
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class QueueIsh(list):
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def push(self, item):
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self.append(item)
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def shift(self):
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return self.pop(0)
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There's no need to decorate these methods. ``append`` and ``pop`` are already
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instrumented as part of the ``list`` interface. Decorating them would fire
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duplicate events, which should be avoided.
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The targeted decoration tries not to rely on other methods in the underlying
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collection class, but some are unavoidable. Many depend on 'read' methods
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being present to properly instrument a 'write', for example, ``__setitem__``
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needs ``__getitem__``. "Bulk" methods like ``update`` and ``extend`` may also
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reimplemented in terms of atomic appends and removes, so the ``extend``
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decoration will actually perform many ``append`` operations and not call the
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underlying method at all.
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Tight control over bulk operation and the firing of events is also possible by
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implementing the instrumentation internally in your methods. The basic
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instrumentation package works under the general assumption that collection
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mutation will not raise unusual exceptions. If you want to closely
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orchestrate append and remove events with exception management, internal
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instrumentation may be the answer. Within your method,
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``collection_adapter(self)`` will retrieve an object that you can use for
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explicit control over triggering append and remove events.
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The owning object and :class:`.CollectionAttributeImpl` are also reachable
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through the adapter, allowing for some very sophisticated behavior.
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"""
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import inspect
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import operator
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import weakref
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from ..sql import expression
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from .. import util, exc as sa_exc
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from . import base
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from sqlalchemy.util.compat import inspect_getargspec
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__all__ = ['collection', 'collection_adapter',
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'mapped_collection', 'column_mapped_collection',
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'attribute_mapped_collection']
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__instrumentation_mutex = util.threading.Lock()
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class _PlainColumnGetter(object):
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"""Plain column getter, stores collection of Column objects
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directly.
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Serializes to a :class:`._SerializableColumnGetterV2`
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which has more expensive __call__() performance
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and some rare caveats.
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"""
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def __init__(self, cols):
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self.cols = cols
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self.composite = len(cols) > 1
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def __reduce__(self):
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return _SerializableColumnGetterV2._reduce_from_cols(self.cols)
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def _cols(self, mapper):
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return self.cols
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def __call__(self, value):
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state = base.instance_state(value)
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m = base._state_mapper(state)
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key = [
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m._get_state_attr_by_column(state, state.dict, col)
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for col in self._cols(m)
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]
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if self.composite:
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return tuple(key)
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else:
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return key[0]
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class _SerializableColumnGetter(object):
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"""Column-based getter used in version 0.7.6 only.
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Remains here for pickle compatibility with 0.7.6.
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"""
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def __init__(self, colkeys):
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self.colkeys = colkeys
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self.composite = len(colkeys) > 1
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def __reduce__(self):
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return _SerializableColumnGetter, (self.colkeys,)
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def __call__(self, value):
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state = base.instance_state(value)
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m = base._state_mapper(state)
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key = [m._get_state_attr_by_column(
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state, state.dict,
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m.mapped_table.columns[k])
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for k in self.colkeys]
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if self.composite:
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return tuple(key)
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else:
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return key[0]
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class _SerializableColumnGetterV2(_PlainColumnGetter):
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"""Updated serializable getter which deals with
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multi-table mapped classes.
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Two extremely unusual cases are not supported.
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Mappings which have tables across multiple metadata
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objects, or which are mapped to non-Table selectables
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linked across inheriting mappers may fail to function
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here.
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"""
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def __init__(self, colkeys):
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self.colkeys = colkeys
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self.composite = len(colkeys) > 1
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def __reduce__(self):
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return self.__class__, (self.colkeys,)
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@classmethod
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def _reduce_from_cols(cls, cols):
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def _table_key(c):
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if not isinstance(c.table, expression.TableClause):
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return None
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else:
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return c.table.key
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colkeys = [(c.key, _table_key(c)) for c in cols]
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return _SerializableColumnGetterV2, (colkeys,)
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def _cols(self, mapper):
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cols = []
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metadata = getattr(mapper.local_table, 'metadata', None)
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for (ckey, tkey) in self.colkeys:
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if tkey is None or \
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metadata is None or \
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tkey not in metadata:
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cols.append(mapper.local_table.c[ckey])
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else:
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cols.append(metadata.tables[tkey].c[ckey])
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return cols
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def column_mapped_collection(mapping_spec):
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"""A dictionary-based collection type with column-based keying.
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Returns a :class:`.MappedCollection` factory with a keying function
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generated from mapping_spec, which may be a Column or a sequence
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of Columns.
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The key value must be immutable for the lifetime of the object. You
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can not, for example, map on foreign key values if those key values will
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change during the session, i.e. from None to a database-assigned integer
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after a session flush.
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"""
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cols = [expression._only_column_elements(q, "mapping_spec")
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for q in util.to_list(mapping_spec)
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]
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keyfunc = _PlainColumnGetter(cols)
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return lambda: MappedCollection(keyfunc)
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class _SerializableAttrGetter(object):
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def __init__(self, name):
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self.name = name
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self.getter = operator.attrgetter(name)
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def __call__(self, target):
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return self.getter(target)
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def __reduce__(self):
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return _SerializableAttrGetter, (self.name, )
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def attribute_mapped_collection(attr_name):
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"""A dictionary-based collection type with attribute-based keying.
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Returns a :class:`.MappedCollection` factory with a keying based on the
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'attr_name' attribute of entities in the collection, where ``attr_name``
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is the string name of the attribute.
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The key value must be immutable for the lifetime of the object. You
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can not, for example, map on foreign key values if those key values will
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change during the session, i.e. from None to a database-assigned integer
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after a session flush.
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"""
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getter = _SerializableAttrGetter(attr_name)
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return lambda: MappedCollection(getter)
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def mapped_collection(keyfunc):
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"""A dictionary-based collection type with arbitrary keying.
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Returns a :class:`.MappedCollection` factory with a keying function
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generated from keyfunc, a callable that takes an entity and returns a
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key value.
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The key value must be immutable for the lifetime of the object. You
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can not, for example, map on foreign key values if those key values will
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change during the session, i.e. from None to a database-assigned integer
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after a session flush.
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"""
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return lambda: MappedCollection(keyfunc)
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class collection(object):
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"""Decorators for entity collection classes.
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The decorators fall into two groups: annotations and interception recipes.
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The annotating decorators (appender, remover, iterator, linker, converter,
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internally_instrumented) indicate the method's purpose and take no
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arguments. They are not written with parens::
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@collection.appender
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def append(self, append): ...
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The recipe decorators all require parens, even those that take no
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arguments::
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@collection.adds('entity')
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def insert(self, position, entity): ...
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@collection.removes_return()
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def popitem(self): ...
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"""
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# Bundled as a class solely for ease of use: packaging, doc strings,
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# importability.
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@staticmethod
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def appender(fn):
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"""Tag the method as the collection appender.
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The appender method is called with one positional argument: the value
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to append. The method will be automatically decorated with 'adds(1)'
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if not already decorated::
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@collection.appender
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def add(self, append): ...
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# or, equivalently
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@collection.appender
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@collection.adds(1)
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def add(self, append): ...
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# for mapping type, an 'append' may kick out a previous value
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# that occupies that slot. consider d['a'] = 'foo'- any previous
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# value in d['a'] is discarded.
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@collection.appender
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@collection.replaces(1)
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def add(self, entity):
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key = some_key_func(entity)
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previous = None
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if key in self:
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previous = self[key]
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self[key] = entity
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return previous
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If the value to append is not allowed in the collection, you may
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raise an exception. Something to remember is that the appender
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will be called for each object mapped by a database query. If the
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database contains rows that violate your collection semantics, you
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will need to get creative to fix the problem, as access via the
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collection will not work.
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If the appender method is internally instrumented, you must also
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receive the keyword argument '_sa_initiator' and ensure its
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promulgation to collection events.
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"""
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fn._sa_instrument_role = 'appender'
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return fn
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@staticmethod
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def remover(fn):
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"""Tag the method as the collection remover.
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The remover method is called with one positional argument: the value
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to remove. The method will be automatically decorated with
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:meth:`removes_return` if not already decorated::
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@collection.remover
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def zap(self, entity): ...
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# or, equivalently
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@collection.remover
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@collection.removes_return()
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def zap(self, ): ...
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If the value to remove is not present in the collection, you may
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raise an exception or return None to ignore the error.
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If the remove method is internally instrumented, you must also
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receive the keyword argument '_sa_initiator' and ensure its
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promulgation to collection events.
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"""
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fn._sa_instrument_role = 'remover'
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return fn
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@staticmethod
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def iterator(fn):
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"""Tag the method as the collection remover.
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The iterator method is called with no arguments. It is expected to
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return an iterator over all collection members::
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@collection.iterator
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def __iter__(self): ...
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"""
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fn._sa_instrument_role = 'iterator'
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return fn
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@staticmethod
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def internally_instrumented(fn):
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"""Tag the method as instrumented.
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This tag will prevent any decoration from being applied to the
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method. Use this if you are orchestrating your own calls to
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:func:`.collection_adapter` in one of the basic SQLAlchemy
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interface methods, or to prevent an automatic ABC method
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decoration from wrapping your implementation::
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# normally an 'extend' method on a list-like class would be
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# automatically intercepted and re-implemented in terms of
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# SQLAlchemy events and append(). your implementation will
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# never be called, unless:
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@collection.internally_instrumented
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def extend(self, items): ...
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"""
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fn._sa_instrumented = True
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return fn
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@staticmethod
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def linker(fn):
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"""Tag the method as a "linked to attribute" event handler.
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This optional event handler will be called when the collection class
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is linked to or unlinked from the InstrumentedAttribute. It is
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invoked immediately after the '_sa_adapter' property is set on
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the instance. A single argument is passed: the collection adapter
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that has been linked, or None if unlinking.
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.. deprecated:: 1.0.0 - the :meth:`.collection.linker` handler
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is superseded by the :meth:`.AttributeEvents.init_collection`
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and :meth:`.AttributeEvents.dispose_collection` handlers.
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"""
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fn._sa_instrument_role = 'linker'
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return fn
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link = linker
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"""deprecated; synonym for :meth:`.collection.linker`."""
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@staticmethod
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def converter(fn):
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"""Tag the method as the collection converter.
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This optional method will be called when a collection is being
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replaced entirely, as in::
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myobj.acollection = [newvalue1, newvalue2]
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The converter method will receive the object being assigned and should
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return an iterable of values suitable for use by the ``appender``
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method. A converter must not assign values or mutate the collection,
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its sole job is to adapt the value the user provides into an iterable
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of values for the ORM's use.
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The default converter implementation will use duck-typing to do the
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conversion. A dict-like collection will be convert into an iterable
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of dictionary values, and other types will simply be iterated::
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@collection.converter
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def convert(self, other): ...
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If the duck-typing of the object does not match the type of this
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collection, a TypeError is raised.
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Supply an implementation of this method if you want to expand the
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range of possible types that can be assigned in bulk or perform
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validation on the values about to be assigned.
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"""
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fn._sa_instrument_role = 'converter'
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return fn
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@staticmethod
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def adds(arg):
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"""Mark the method as adding an entity to the collection.
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Adds "add to collection" handling to the method. The decorator
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argument indicates which method argument holds the SQLAlchemy-relevant
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value. Arguments can be specified positionally (i.e. integer) or by
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name::
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@collection.adds(1)
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def push(self, item): ...
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@collection.adds('entity')
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def do_stuff(self, thing, entity=None): ...
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"""
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def decorator(fn):
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fn._sa_instrument_before = ('fire_append_event', arg)
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return fn
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return decorator
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@staticmethod
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def replaces(arg):
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"""Mark the method as replacing an entity in the collection.
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Adds "add to collection" and "remove from collection" handling to
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the method. The decorator argument indicates which method argument
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holds the SQLAlchemy-relevant value to be added, and return value, if
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any will be considered the value to remove.
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Arguments can be specified positionally (i.e. integer) or by name::
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@collection.replaces(2)
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def __setitem__(self, index, item): ...
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"""
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def decorator(fn):
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fn._sa_instrument_before = ('fire_append_event', arg)
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fn._sa_instrument_after = 'fire_remove_event'
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return fn
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return decorator
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@staticmethod
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def removes(arg):
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"""Mark the method as removing an entity in the collection.
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Adds "remove from collection" handling to the method. The decorator
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argument indicates which method argument holds the SQLAlchemy-relevant
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value to be removed. Arguments can be specified positionally (i.e.
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integer) or by name::
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@collection.removes(1)
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def zap(self, item): ...
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For methods where the value to remove is not known at call-time, use
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collection.removes_return.
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"""
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def decorator(fn):
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fn._sa_instrument_before = ('fire_remove_event', arg)
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return fn
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return decorator
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@staticmethod
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def removes_return():
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"""Mark the method as removing an entity in the collection.
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Adds "remove from collection" handling to the method. The return
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value of the method, if any, is considered the value to remove. The
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method arguments are not inspected::
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@collection.removes_return()
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def pop(self): ...
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For methods where the value to remove is known at call-time, use
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collection.remove.
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"""
|
|
def decorator(fn):
|
|
fn._sa_instrument_after = 'fire_remove_event'
|
|
return fn
|
|
return decorator
|
|
|
|
|
|
collection_adapter = operator.attrgetter('_sa_adapter')
|
|
"""Fetch the :class:`.CollectionAdapter` for a collection."""
|
|
|
|
|
|
class CollectionAdapter(object):
|
|
"""Bridges between the ORM and arbitrary Python collections.
|
|
|
|
Proxies base-level collection operations (append, remove, iterate)
|
|
to the underlying Python collection, and emits add/remove events for
|
|
entities entering or leaving the collection.
|
|
|
|
The ORM uses :class:`.CollectionAdapter` exclusively for interaction with
|
|
entity collections.
|
|
|
|
|
|
"""
|
|
|
|
__slots__ = (
|
|
'attr', '_key', '_data', 'owner_state', '_converter', 'invalidated')
|
|
|
|
def __init__(self, attr, owner_state, data):
|
|
self.attr = attr
|
|
self._key = attr.key
|
|
self._data = weakref.ref(data)
|
|
self.owner_state = owner_state
|
|
data._sa_adapter = self
|
|
self._converter = data._sa_converter
|
|
self.invalidated = False
|
|
|
|
def _warn_invalidated(self):
|
|
util.warn("This collection has been invalidated.")
|
|
|
|
@property
|
|
def data(self):
|
|
"The entity collection being adapted."
|
|
return self._data()
|
|
|
|
@property
|
|
def _referenced_by_owner(self):
|
|
"""return True if the owner state still refers to this collection.
|
|
|
|
This will return False within a bulk replace operation,
|
|
where this collection is the one being replaced.
|
|
|
|
"""
|
|
return self.owner_state.dict[self._key] is self._data()
|
|
|
|
def bulk_appender(self):
|
|
return self._data()._sa_appender
|
|
|
|
def append_with_event(self, item, initiator=None):
|
|
"""Add an entity to the collection, firing mutation events."""
|
|
|
|
self._data()._sa_appender(item, _sa_initiator=initiator)
|
|
|
|
def append_without_event(self, item):
|
|
"""Add or restore an entity to the collection, firing no events."""
|
|
self._data()._sa_appender(item, _sa_initiator=False)
|
|
|
|
def append_multiple_without_event(self, items):
|
|
"""Add or restore an entity to the collection, firing no events."""
|
|
appender = self._data()._sa_appender
|
|
for item in items:
|
|
appender(item, _sa_initiator=False)
|
|
|
|
def bulk_remover(self):
|
|
return self._data()._sa_remover
|
|
|
|
def remove_with_event(self, item, initiator=None):
|
|
"""Remove an entity from the collection, firing mutation events."""
|
|
self._data()._sa_remover(item, _sa_initiator=initiator)
|
|
|
|
def remove_without_event(self, item):
|
|
"""Remove an entity from the collection, firing no events."""
|
|
self._data()._sa_remover(item, _sa_initiator=False)
|
|
|
|
def clear_with_event(self, initiator=None):
|
|
"""Empty the collection, firing a mutation event for each entity."""
|
|
|
|
remover = self._data()._sa_remover
|
|
for item in list(self):
|
|
remover(item, _sa_initiator=initiator)
|
|
|
|
def clear_without_event(self):
|
|
"""Empty the collection, firing no events."""
|
|
|
|
remover = self._data()._sa_remover
|
|
for item in list(self):
|
|
remover(item, _sa_initiator=False)
|
|
|
|
def __iter__(self):
|
|
"""Iterate over entities in the collection."""
|
|
|
|
return iter(self._data()._sa_iterator())
|
|
|
|
def __len__(self):
|
|
"""Count entities in the collection."""
|
|
return len(list(self._data()._sa_iterator()))
|
|
|
|
def __bool__(self):
|
|
return True
|
|
|
|
__nonzero__ = __bool__
|
|
|
|
def fire_append_event(self, item, initiator=None):
|
|
"""Notify that a entity has entered the collection.
|
|
|
|
Initiator is a token owned by the InstrumentedAttribute that
|
|
initiated the membership mutation, and should be left as None
|
|
unless you are passing along an initiator value from a chained
|
|
operation.
|
|
|
|
"""
|
|
if initiator is not False:
|
|
if self.invalidated:
|
|
self._warn_invalidated()
|
|
return self.attr.fire_append_event(
|
|
self.owner_state,
|
|
self.owner_state.dict,
|
|
item, initiator)
|
|
else:
|
|
return item
|
|
|
|
def fire_remove_event(self, item, initiator=None):
|
|
"""Notify that a entity has been removed from the collection.
|
|
|
|
Initiator is the InstrumentedAttribute that initiated the membership
|
|
mutation, and should be left as None unless you are passing along
|
|
an initiator value from a chained operation.
|
|
|
|
"""
|
|
if initiator is not False:
|
|
if self.invalidated:
|
|
self._warn_invalidated()
|
|
self.attr.fire_remove_event(
|
|
self.owner_state,
|
|
self.owner_state.dict,
|
|
item, initiator)
|
|
|
|
def fire_pre_remove_event(self, initiator=None):
|
|
"""Notify that an entity is about to be removed from the collection.
|
|
|
|
Only called if the entity cannot be removed after calling
|
|
fire_remove_event().
|
|
|
|
"""
|
|
if self.invalidated:
|
|
self._warn_invalidated()
|
|
self.attr.fire_pre_remove_event(
|
|
self.owner_state,
|
|
self.owner_state.dict,
|
|
initiator=initiator)
|
|
|
|
def __getstate__(self):
|
|
return {'key': self._key,
|
|
'owner_state': self.owner_state,
|
|
'owner_cls': self.owner_state.class_,
|
|
'data': self.data,
|
|
'invalidated': self.invalidated}
|
|
|
|
def __setstate__(self, d):
|
|
self._key = d['key']
|
|
self.owner_state = d['owner_state']
|
|
self._data = weakref.ref(d['data'])
|
|
self._converter = d['data']._sa_converter
|
|
d['data']._sa_adapter = self
|
|
self.invalidated = d['invalidated']
|
|
self.attr = getattr(d['owner_cls'], self._key).impl
|
|
|
|
|
|
def bulk_replace(values, existing_adapter, new_adapter, initiator=None):
|
|
"""Load a new collection, firing events based on prior like membership.
|
|
|
|
Appends instances in ``values`` onto the ``new_adapter``. Events will be
|
|
fired for any instance not present in the ``existing_adapter``. Any
|
|
instances in ``existing_adapter`` not present in ``values`` will have
|
|
remove events fired upon them.
|
|
|
|
:param values: An iterable of collection member instances
|
|
|
|
:param existing_adapter: A :class:`.CollectionAdapter` of
|
|
instances to be replaced
|
|
|
|
:param new_adapter: An empty :class:`.CollectionAdapter`
|
|
to load with ``values``
|
|
|
|
|
|
"""
|
|
|
|
assert isinstance(values, list)
|
|
|
|
idset = util.IdentitySet
|
|
existing_idset = idset(existing_adapter or ())
|
|
constants = existing_idset.intersection(values or ())
|
|
additions = idset(values or ()).difference(constants)
|
|
removals = existing_idset.difference(constants)
|
|
|
|
appender = new_adapter.bulk_appender()
|
|
|
|
for member in values or ():
|
|
if member in additions:
|
|
appender(member, _sa_initiator=initiator)
|
|
elif member in constants:
|
|
appender(member, _sa_initiator=False)
|
|
|
|
if existing_adapter:
|
|
for member in removals:
|
|
existing_adapter.fire_remove_event(member, initiator=initiator)
|
|
|
|
|
|
def prepare_instrumentation(factory):
|
|
"""Prepare a callable for future use as a collection class factory.
|
|
|
|
Given a collection class factory (either a type or no-arg callable),
|
|
return another factory that will produce compatible instances when
|
|
called.
|
|
|
|
This function is responsible for converting collection_class=list
|
|
into the run-time behavior of collection_class=InstrumentedList.
|
|
|
|
"""
|
|
# Convert a builtin to 'Instrumented*'
|
|
if factory in __canned_instrumentation:
|
|
factory = __canned_instrumentation[factory]
|
|
|
|
# Create a specimen
|
|
cls = type(factory())
|
|
|
|
# Did factory callable return a builtin?
|
|
if cls in __canned_instrumentation:
|
|
# Wrap it so that it returns our 'Instrumented*'
|
|
factory = __converting_factory(cls, factory)
|
|
cls = factory()
|
|
|
|
# Instrument the class if needed.
|
|
if __instrumentation_mutex.acquire():
|
|
try:
|
|
if getattr(cls, '_sa_instrumented', None) != id(cls):
|
|
_instrument_class(cls)
|
|
finally:
|
|
__instrumentation_mutex.release()
|
|
|
|
return factory
|
|
|
|
|
|
def __converting_factory(specimen_cls, original_factory):
|
|
"""Return a wrapper that converts a "canned" collection like
|
|
set, dict, list into the Instrumented* version.
|
|
|
|
"""
|
|
|
|
instrumented_cls = __canned_instrumentation[specimen_cls]
|
|
|
|
def wrapper():
|
|
collection = original_factory()
|
|
return instrumented_cls(collection)
|
|
|
|
# often flawed but better than nothing
|
|
wrapper.__name__ = "%sWrapper" % original_factory.__name__
|
|
wrapper.__doc__ = original_factory.__doc__
|
|
|
|
return wrapper
|
|
|
|
|
|
def _instrument_class(cls):
|
|
"""Modify methods in a class and install instrumentation."""
|
|
|
|
# In the normal call flow, a request for any of the 3 basic collection
|
|
# types is transformed into one of our trivial subclasses
|
|
# (e.g. InstrumentedList). Catch anything else that sneaks in here...
|
|
if cls.__module__ == '__builtin__':
|
|
raise sa_exc.ArgumentError(
|
|
"Can not instrument a built-in type. Use a "
|
|
"subclass, even a trivial one.")
|
|
|
|
roles, methods = _locate_roles_and_methods(cls)
|
|
|
|
_setup_canned_roles(cls, roles, methods)
|
|
|
|
_assert_required_roles(cls, roles, methods)
|
|
|
|
_set_collection_attributes(cls, roles, methods)
|
|
|
|
|
|
def _locate_roles_and_methods(cls):
|
|
"""search for _sa_instrument_role-decorated methods in
|
|
method resolution order, assign to roles.
|
|
|
|
"""
|
|
|
|
roles = {}
|
|
methods = {}
|
|
|
|
for supercls in cls.__mro__:
|
|
for name, method in vars(supercls).items():
|
|
if not util.callable(method):
|
|
continue
|
|
|
|
# note role declarations
|
|
if hasattr(method, '_sa_instrument_role'):
|
|
role = method._sa_instrument_role
|
|
assert role in ('appender', 'remover', 'iterator',
|
|
'linker', 'converter')
|
|
roles.setdefault(role, name)
|
|
|
|
# transfer instrumentation requests from decorated function
|
|
# to the combined queue
|
|
before, after = None, None
|
|
if hasattr(method, '_sa_instrument_before'):
|
|
op, argument = method._sa_instrument_before
|
|
assert op in ('fire_append_event', 'fire_remove_event')
|
|
before = op, argument
|
|
if hasattr(method, '_sa_instrument_after'):
|
|
op = method._sa_instrument_after
|
|
assert op in ('fire_append_event', 'fire_remove_event')
|
|
after = op
|
|
if before:
|
|
methods[name] = before + (after, )
|
|
elif after:
|
|
methods[name] = None, None, after
|
|
return roles, methods
|
|
|
|
|
|
def _setup_canned_roles(cls, roles, methods):
|
|
"""see if this class has "canned" roles based on a known
|
|
collection type (dict, set, list). Apply those roles
|
|
as needed to the "roles" dictionary, and also
|
|
prepare "decorator" methods
|
|
|
|
"""
|
|
collection_type = util.duck_type_collection(cls)
|
|
if collection_type in __interfaces:
|
|
canned_roles, decorators = __interfaces[collection_type]
|
|
for role, name in canned_roles.items():
|
|
roles.setdefault(role, name)
|
|
|
|
# apply ABC auto-decoration to methods that need it
|
|
for method, decorator in decorators.items():
|
|
fn = getattr(cls, method, None)
|
|
if (fn and method not in methods and
|
|
not hasattr(fn, '_sa_instrumented')):
|
|
setattr(cls, method, decorator(fn))
|
|
|
|
|
|
def _assert_required_roles(cls, roles, methods):
|
|
"""ensure all roles are present, and apply implicit instrumentation if
|
|
needed
|
|
|
|
"""
|
|
if 'appender' not in roles or not hasattr(cls, roles['appender']):
|
|
raise sa_exc.ArgumentError(
|
|
"Type %s must elect an appender method to be "
|
|
"a collection class" % cls.__name__)
|
|
elif (roles['appender'] not in methods and
|
|
not hasattr(getattr(cls, roles['appender']), '_sa_instrumented')):
|
|
methods[roles['appender']] = ('fire_append_event', 1, None)
|
|
|
|
if 'remover' not in roles or not hasattr(cls, roles['remover']):
|
|
raise sa_exc.ArgumentError(
|
|
"Type %s must elect a remover method to be "
|
|
"a collection class" % cls.__name__)
|
|
elif (roles['remover'] not in methods and
|
|
not hasattr(getattr(cls, roles['remover']), '_sa_instrumented')):
|
|
methods[roles['remover']] = ('fire_remove_event', 1, None)
|
|
|
|
if 'iterator' not in roles or not hasattr(cls, roles['iterator']):
|
|
raise sa_exc.ArgumentError(
|
|
"Type %s must elect an iterator method to be "
|
|
"a collection class" % cls.__name__)
|
|
|
|
|
|
def _set_collection_attributes(cls, roles, methods):
|
|
"""apply ad-hoc instrumentation from decorators, class-level defaults
|
|
and implicit role declarations
|
|
|
|
"""
|
|
for method_name, (before, argument, after) in methods.items():
|
|
setattr(cls, method_name,
|
|
_instrument_membership_mutator(getattr(cls, method_name),
|
|
before, argument, after))
|
|
# intern the role map
|
|
for role, method_name in roles.items():
|
|
setattr(cls, '_sa_%s' % role, getattr(cls, method_name))
|
|
|
|
cls._sa_adapter = None
|
|
|
|
if not hasattr(cls, '_sa_converter'):
|
|
cls._sa_converter = None
|
|
cls._sa_instrumented = id(cls)
|
|
|
|
|
|
def _instrument_membership_mutator(method, before, argument, after):
|
|
"""Route method args and/or return value through the collection
|
|
adapter."""
|
|
# This isn't smart enough to handle @adds(1) for 'def fn(self, (a, b))'
|
|
if before:
|
|
fn_args = list(util.flatten_iterator(inspect_getargspec(method)[0]))
|
|
if isinstance(argument, int):
|
|
pos_arg = argument
|
|
named_arg = len(fn_args) > argument and fn_args[argument] or None
|
|
else:
|
|
if argument in fn_args:
|
|
pos_arg = fn_args.index(argument)
|
|
else:
|
|
pos_arg = None
|
|
named_arg = argument
|
|
del fn_args
|
|
|
|
def wrapper(*args, **kw):
|
|
if before:
|
|
if pos_arg is None:
|
|
if named_arg not in kw:
|
|
raise sa_exc.ArgumentError(
|
|
"Missing argument %s" % argument)
|
|
value = kw[named_arg]
|
|
else:
|
|
if len(args) > pos_arg:
|
|
value = args[pos_arg]
|
|
elif named_arg in kw:
|
|
value = kw[named_arg]
|
|
else:
|
|
raise sa_exc.ArgumentError(
|
|
"Missing argument %s" % argument)
|
|
|
|
initiator = kw.pop('_sa_initiator', None)
|
|
if initiator is False:
|
|
executor = None
|
|
else:
|
|
executor = args[0]._sa_adapter
|
|
|
|
if before and executor:
|
|
getattr(executor, before)(value, initiator)
|
|
|
|
if not after or not executor:
|
|
return method(*args, **kw)
|
|
else:
|
|
res = method(*args, **kw)
|
|
if res is not None:
|
|
getattr(executor, after)(res, initiator)
|
|
return res
|
|
|
|
wrapper._sa_instrumented = True
|
|
if hasattr(method, "_sa_instrument_role"):
|
|
wrapper._sa_instrument_role = method._sa_instrument_role
|
|
wrapper.__name__ = method.__name__
|
|
wrapper.__doc__ = method.__doc__
|
|
return wrapper
|
|
|
|
|
|
def __set(collection, item, _sa_initiator=None):
|
|
"""Run set events, may eventually be inlined into decorators."""
|
|
|
|
if _sa_initiator is not False:
|
|
executor = collection._sa_adapter
|
|
if executor:
|
|
item = executor.fire_append_event(item, _sa_initiator)
|
|
return item
|
|
|
|
|
|
def __del(collection, item, _sa_initiator=None):
|
|
"""Run del events, may eventually be inlined into decorators."""
|
|
if _sa_initiator is not False:
|
|
executor = collection._sa_adapter
|
|
if executor:
|
|
executor.fire_remove_event(item, _sa_initiator)
|
|
|
|
|
|
def __before_delete(collection, _sa_initiator=None):
|
|
"""Special method to run 'commit existing value' methods"""
|
|
executor = collection._sa_adapter
|
|
if executor:
|
|
executor.fire_pre_remove_event(_sa_initiator)
|
|
|
|
|
|
def _list_decorators():
|
|
"""Tailored instrumentation wrappers for any list-like class."""
|
|
|
|
def _tidy(fn):
|
|
fn._sa_instrumented = True
|
|
fn.__doc__ = getattr(list, fn.__name__).__doc__
|
|
|
|
def append(fn):
|
|
def append(self, item, _sa_initiator=None):
|
|
item = __set(self, item, _sa_initiator)
|
|
fn(self, item)
|
|
_tidy(append)
|
|
return append
|
|
|
|
def remove(fn):
|
|
def remove(self, value, _sa_initiator=None):
|
|
__before_delete(self, _sa_initiator)
|
|
# testlib.pragma exempt:__eq__
|
|
fn(self, value)
|
|
__del(self, value, _sa_initiator)
|
|
_tidy(remove)
|
|
return remove
|
|
|
|
def insert(fn):
|
|
def insert(self, index, value):
|
|
value = __set(self, value)
|
|
fn(self, index, value)
|
|
_tidy(insert)
|
|
return insert
|
|
|
|
def __setitem__(fn):
|
|
def __setitem__(self, index, value):
|
|
if not isinstance(index, slice):
|
|
existing = self[index]
|
|
if existing is not None:
|
|
__del(self, existing)
|
|
value = __set(self, value)
|
|
fn(self, index, value)
|
|
else:
|
|
# slice assignment requires __delitem__, insert, __len__
|
|
step = index.step or 1
|
|
start = index.start or 0
|
|
if start < 0:
|
|
start += len(self)
|
|
if index.stop is not None:
|
|
stop = index.stop
|
|
else:
|
|
stop = len(self)
|
|
if stop < 0:
|
|
stop += len(self)
|
|
|
|
if step == 1:
|
|
for i in range(start, stop, step):
|
|
if len(self) > start:
|
|
del self[start]
|
|
|
|
for i, item in enumerate(value):
|
|
self.insert(i + start, item)
|
|
else:
|
|
rng = list(range(start, stop, step))
|
|
if len(value) != len(rng):
|
|
raise ValueError(
|
|
"attempt to assign sequence of size %s to "
|
|
"extended slice of size %s" % (len(value),
|
|
len(rng)))
|
|
for i, item in zip(rng, value):
|
|
self.__setitem__(i, item)
|
|
_tidy(__setitem__)
|
|
return __setitem__
|
|
|
|
def __delitem__(fn):
|
|
def __delitem__(self, index):
|
|
if not isinstance(index, slice):
|
|
item = self[index]
|
|
__del(self, item)
|
|
fn(self, index)
|
|
else:
|
|
# slice deletion requires __getslice__ and a slice-groking
|
|
# __getitem__ for stepped deletion
|
|
# note: not breaking this into atomic dels
|
|
for item in self[index]:
|
|
__del(self, item)
|
|
fn(self, index)
|
|
_tidy(__delitem__)
|
|
return __delitem__
|
|
|
|
if util.py2k:
|
|
def __setslice__(fn):
|
|
def __setslice__(self, start, end, values):
|
|
for value in self[start:end]:
|
|
__del(self, value)
|
|
values = [__set(self, value) for value in values]
|
|
fn(self, start, end, values)
|
|
_tidy(__setslice__)
|
|
return __setslice__
|
|
|
|
def __delslice__(fn):
|
|
def __delslice__(self, start, end):
|
|
for value in self[start:end]:
|
|
__del(self, value)
|
|
fn(self, start, end)
|
|
_tidy(__delslice__)
|
|
return __delslice__
|
|
|
|
def extend(fn):
|
|
def extend(self, iterable):
|
|
for value in iterable:
|
|
self.append(value)
|
|
_tidy(extend)
|
|
return extend
|
|
|
|
def __iadd__(fn):
|
|
def __iadd__(self, iterable):
|
|
# list.__iadd__ takes any iterable and seems to let TypeError
|
|
# raise as-is instead of returning NotImplemented
|
|
for value in iterable:
|
|
self.append(value)
|
|
return self
|
|
_tidy(__iadd__)
|
|
return __iadd__
|
|
|
|
def pop(fn):
|
|
def pop(self, index=-1):
|
|
__before_delete(self)
|
|
item = fn(self, index)
|
|
__del(self, item)
|
|
return item
|
|
_tidy(pop)
|
|
return pop
|
|
|
|
if not util.py2k:
|
|
def clear(fn):
|
|
def clear(self, index=-1):
|
|
for item in self:
|
|
__del(self, item)
|
|
fn(self)
|
|
_tidy(clear)
|
|
return clear
|
|
|
|
# __imul__ : not wrapping this. all members of the collection are already
|
|
# present, so no need to fire appends... wrapping it with an explicit
|
|
# decorator is still possible, so events on *= can be had if they're
|
|
# desired. hard to imagine a use case for __imul__, though.
|
|
|
|
l = locals().copy()
|
|
l.pop('_tidy')
|
|
return l
|
|
|
|
|
|
def _dict_decorators():
|
|
"""Tailored instrumentation wrappers for any dict-like mapping class."""
|
|
|
|
def _tidy(fn):
|
|
fn._sa_instrumented = True
|
|
fn.__doc__ = getattr(dict, fn.__name__).__doc__
|
|
|
|
Unspecified = util.symbol('Unspecified')
|
|
|
|
def __setitem__(fn):
|
|
def __setitem__(self, key, value, _sa_initiator=None):
|
|
if key in self:
|
|
__del(self, self[key], _sa_initiator)
|
|
value = __set(self, value, _sa_initiator)
|
|
fn(self, key, value)
|
|
_tidy(__setitem__)
|
|
return __setitem__
|
|
|
|
def __delitem__(fn):
|
|
def __delitem__(self, key, _sa_initiator=None):
|
|
if key in self:
|
|
__del(self, self[key], _sa_initiator)
|
|
fn(self, key)
|
|
_tidy(__delitem__)
|
|
return __delitem__
|
|
|
|
def clear(fn):
|
|
def clear(self):
|
|
for key in self:
|
|
__del(self, self[key])
|
|
fn(self)
|
|
_tidy(clear)
|
|
return clear
|
|
|
|
def pop(fn):
|
|
def pop(self, key, default=Unspecified):
|
|
if key in self:
|
|
__del(self, self[key])
|
|
if default is Unspecified:
|
|
return fn(self, key)
|
|
else:
|
|
return fn(self, key, default)
|
|
_tidy(pop)
|
|
return pop
|
|
|
|
def popitem(fn):
|
|
def popitem(self):
|
|
__before_delete(self)
|
|
item = fn(self)
|
|
__del(self, item[1])
|
|
return item
|
|
_tidy(popitem)
|
|
return popitem
|
|
|
|
def setdefault(fn):
|
|
def setdefault(self, key, default=None):
|
|
if key not in self:
|
|
self.__setitem__(key, default)
|
|
return default
|
|
else:
|
|
return self.__getitem__(key)
|
|
_tidy(setdefault)
|
|
return setdefault
|
|
|
|
def update(fn):
|
|
def update(self, __other=Unspecified, **kw):
|
|
if __other is not Unspecified:
|
|
if hasattr(__other, 'keys'):
|
|
for key in list(__other):
|
|
if (key not in self or
|
|
self[key] is not __other[key]):
|
|
self[key] = __other[key]
|
|
else:
|
|
for key, value in __other:
|
|
if key not in self or self[key] is not value:
|
|
self[key] = value
|
|
for key in kw:
|
|
if key not in self or self[key] is not kw[key]:
|
|
self[key] = kw[key]
|
|
_tidy(update)
|
|
return update
|
|
|
|
l = locals().copy()
|
|
l.pop('_tidy')
|
|
l.pop('Unspecified')
|
|
return l
|
|
|
|
_set_binop_bases = (set, frozenset)
|
|
|
|
|
|
def _set_binops_check_strict(self, obj):
|
|
"""Allow only set, frozenset and self.__class__-derived
|
|
objects in binops."""
|
|
return isinstance(obj, _set_binop_bases + (self.__class__,))
|
|
|
|
|
|
def _set_binops_check_loose(self, obj):
|
|
"""Allow anything set-like to participate in set binops."""
|
|
return (isinstance(obj, _set_binop_bases + (self.__class__,)) or
|
|
util.duck_type_collection(obj) == set)
|
|
|
|
|
|
def _set_decorators():
|
|
"""Tailored instrumentation wrappers for any set-like class."""
|
|
|
|
def _tidy(fn):
|
|
fn._sa_instrumented = True
|
|
fn.__doc__ = getattr(set, fn.__name__).__doc__
|
|
|
|
Unspecified = util.symbol('Unspecified')
|
|
|
|
def add(fn):
|
|
def add(self, value, _sa_initiator=None):
|
|
if value not in self:
|
|
value = __set(self, value, _sa_initiator)
|
|
# testlib.pragma exempt:__hash__
|
|
fn(self, value)
|
|
_tidy(add)
|
|
return add
|
|
|
|
def discard(fn):
|
|
def discard(self, value, _sa_initiator=None):
|
|
# testlib.pragma exempt:__hash__
|
|
if value in self:
|
|
__del(self, value, _sa_initiator)
|
|
# testlib.pragma exempt:__hash__
|
|
fn(self, value)
|
|
_tidy(discard)
|
|
return discard
|
|
|
|
def remove(fn):
|
|
def remove(self, value, _sa_initiator=None):
|
|
# testlib.pragma exempt:__hash__
|
|
if value in self:
|
|
__del(self, value, _sa_initiator)
|
|
# testlib.pragma exempt:__hash__
|
|
fn(self, value)
|
|
_tidy(remove)
|
|
return remove
|
|
|
|
def pop(fn):
|
|
def pop(self):
|
|
__before_delete(self)
|
|
item = fn(self)
|
|
__del(self, item)
|
|
return item
|
|
_tidy(pop)
|
|
return pop
|
|
|
|
def clear(fn):
|
|
def clear(self):
|
|
for item in list(self):
|
|
self.remove(item)
|
|
_tidy(clear)
|
|
return clear
|
|
|
|
def update(fn):
|
|
def update(self, value):
|
|
for item in value:
|
|
self.add(item)
|
|
_tidy(update)
|
|
return update
|
|
|
|
def __ior__(fn):
|
|
def __ior__(self, value):
|
|
if not _set_binops_check_strict(self, value):
|
|
return NotImplemented
|
|
for item in value:
|
|
self.add(item)
|
|
return self
|
|
_tidy(__ior__)
|
|
return __ior__
|
|
|
|
def difference_update(fn):
|
|
def difference_update(self, value):
|
|
for item in value:
|
|
self.discard(item)
|
|
_tidy(difference_update)
|
|
return difference_update
|
|
|
|
def __isub__(fn):
|
|
def __isub__(self, value):
|
|
if not _set_binops_check_strict(self, value):
|
|
return NotImplemented
|
|
for item in value:
|
|
self.discard(item)
|
|
return self
|
|
_tidy(__isub__)
|
|
return __isub__
|
|
|
|
def intersection_update(fn):
|
|
def intersection_update(self, other):
|
|
want, have = self.intersection(other), set(self)
|
|
remove, add = have - want, want - have
|
|
|
|
for item in remove:
|
|
self.remove(item)
|
|
for item in add:
|
|
self.add(item)
|
|
_tidy(intersection_update)
|
|
return intersection_update
|
|
|
|
def __iand__(fn):
|
|
def __iand__(self, other):
|
|
if not _set_binops_check_strict(self, other):
|
|
return NotImplemented
|
|
want, have = self.intersection(other), set(self)
|
|
remove, add = have - want, want - have
|
|
|
|
for item in remove:
|
|
self.remove(item)
|
|
for item in add:
|
|
self.add(item)
|
|
return self
|
|
_tidy(__iand__)
|
|
return __iand__
|
|
|
|
def symmetric_difference_update(fn):
|
|
def symmetric_difference_update(self, other):
|
|
want, have = self.symmetric_difference(other), set(self)
|
|
remove, add = have - want, want - have
|
|
|
|
for item in remove:
|
|
self.remove(item)
|
|
for item in add:
|
|
self.add(item)
|
|
_tidy(symmetric_difference_update)
|
|
return symmetric_difference_update
|
|
|
|
def __ixor__(fn):
|
|
def __ixor__(self, other):
|
|
if not _set_binops_check_strict(self, other):
|
|
return NotImplemented
|
|
want, have = self.symmetric_difference(other), set(self)
|
|
remove, add = have - want, want - have
|
|
|
|
for item in remove:
|
|
self.remove(item)
|
|
for item in add:
|
|
self.add(item)
|
|
return self
|
|
_tidy(__ixor__)
|
|
return __ixor__
|
|
|
|
l = locals().copy()
|
|
l.pop('_tidy')
|
|
l.pop('Unspecified')
|
|
return l
|
|
|
|
|
|
class InstrumentedList(list):
|
|
"""An instrumented version of the built-in list."""
|
|
|
|
|
|
class InstrumentedSet(set):
|
|
"""An instrumented version of the built-in set."""
|
|
|
|
|
|
class InstrumentedDict(dict):
|
|
"""An instrumented version of the built-in dict."""
|
|
|
|
|
|
__canned_instrumentation = {
|
|
list: InstrumentedList,
|
|
set: InstrumentedSet,
|
|
dict: InstrumentedDict,
|
|
}
|
|
|
|
__interfaces = {
|
|
list: (
|
|
{'appender': 'append', 'remover': 'remove',
|
|
'iterator': '__iter__'}, _list_decorators()
|
|
),
|
|
|
|
set: ({'appender': 'add',
|
|
'remover': 'remove',
|
|
'iterator': '__iter__'}, _set_decorators()
|
|
),
|
|
|
|
# decorators are required for dicts and object collections.
|
|
dict: ({'iterator': 'values'}, _dict_decorators()) if util.py3k
|
|
else ({'iterator': 'itervalues'}, _dict_decorators()),
|
|
}
|
|
|
|
|
|
class MappedCollection(dict):
|
|
"""A basic dictionary-based collection class.
|
|
|
|
Extends dict with the minimal bag semantics that collection
|
|
classes require. ``set`` and ``remove`` are implemented in terms
|
|
of a keying function: any callable that takes an object and
|
|
returns an object for use as a dictionary key.
|
|
|
|
"""
|
|
|
|
def __init__(self, keyfunc):
|
|
"""Create a new collection with keying provided by keyfunc.
|
|
|
|
keyfunc may be any callable that takes an object and returns an object
|
|
for use as a dictionary key.
|
|
|
|
The keyfunc will be called every time the ORM needs to add a member by
|
|
value-only (such as when loading instances from the database) or
|
|
remove a member. The usual cautions about dictionary keying apply-
|
|
``keyfunc(object)`` should return the same output for the life of the
|
|
collection. Keying based on mutable properties can result in
|
|
unreachable instances "lost" in the collection.
|
|
|
|
"""
|
|
self.keyfunc = keyfunc
|
|
|
|
@collection.appender
|
|
@collection.internally_instrumented
|
|
def set(self, value, _sa_initiator=None):
|
|
"""Add an item by value, consulting the keyfunc for the key."""
|
|
|
|
key = self.keyfunc(value)
|
|
self.__setitem__(key, value, _sa_initiator)
|
|
|
|
@collection.remover
|
|
@collection.internally_instrumented
|
|
def remove(self, value, _sa_initiator=None):
|
|
"""Remove an item by value, consulting the keyfunc for the key."""
|
|
|
|
key = self.keyfunc(value)
|
|
# Let self[key] raise if key is not in this collection
|
|
# testlib.pragma exempt:__ne__
|
|
if self[key] != value:
|
|
raise sa_exc.InvalidRequestError(
|
|
"Can not remove '%s': collection holds '%s' for key '%s'. "
|
|
"Possible cause: is the MappedCollection key function "
|
|
"based on mutable properties or properties that only obtain "
|
|
"values after flush?" %
|
|
(value, self[key], key))
|
|
self.__delitem__(key, _sa_initiator)
|
|
|
|
@collection.converter
|
|
def _convert(self, dictlike):
|
|
"""Validate and convert a dict-like object into values for set()ing.
|
|
|
|
This is called behind the scenes when a MappedCollection is replaced
|
|
entirely by another collection, as in::
|
|
|
|
myobj.mappedcollection = {'a':obj1, 'b': obj2} # ...
|
|
|
|
Raises a TypeError if the key in any (key, value) pair in the dictlike
|
|
object does not match the key that this collection's keyfunc would
|
|
have assigned for that value.
|
|
|
|
"""
|
|
for incoming_key, value in util.dictlike_iteritems(dictlike):
|
|
new_key = self.keyfunc(value)
|
|
if incoming_key != new_key:
|
|
raise TypeError(
|
|
"Found incompatible key %r for value %r; this "
|
|
"collection's "
|
|
"keying function requires a key of %r for this value." % (
|
|
incoming_key, value, new_key))
|
|
yield value
|
|
|
|
# ensure instrumentation is associated with
|
|
# these built-in classes; if a user-defined class
|
|
# subclasses these and uses @internally_instrumented,
|
|
# the superclass is otherwise not instrumented.
|
|
# see [ticket:2406].
|
|
_instrument_class(MappedCollection)
|
|
_instrument_class(InstrumentedList)
|
|
_instrument_class(InstrumentedSet)
|