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464 lines
16 KiB
Python
464 lines
16 KiB
Python
# ext/declarative/extensions.py
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# Copyright (C) 2005-2022 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: https://www.opensource.org/licenses/mit-license.php
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"""Public API functions and helpers for declarative."""
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from ... import inspection
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from ... import util
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from ...orm import exc as orm_exc
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from ...orm import registry
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from ...orm import relationships
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from ...orm.base import _mapper_or_none
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from ...orm.clsregistry import _resolver
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from ...orm.decl_base import _DeferredMapperConfig
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from ...orm.util import polymorphic_union
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from ...schema import Table
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from ...util import OrderedDict
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@util.deprecated(
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"2.0",
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"the instrument_declarative function is deprecated "
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"and will be removed in SQLAlhcemy 2.0. Please use "
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":meth:`_orm.registry.map_declaratively",
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)
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def instrument_declarative(cls, cls_registry, metadata):
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"""Given a class, configure the class declaratively,
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using the given registry, which can be any dictionary, and
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MetaData object.
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"""
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registry(metadata=metadata, class_registry=cls_registry).map_declaratively(
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cls
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)
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class ConcreteBase(object):
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"""A helper class for 'concrete' declarative mappings.
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:class:`.ConcreteBase` will use the :func:`.polymorphic_union`
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function automatically, against all tables mapped as a subclass
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to this class. The function is called via the
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``__declare_last__()`` function, which is essentially
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a hook for the :meth:`.after_configured` event.
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:class:`.ConcreteBase` produces a mapped
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table for the class itself. Compare to :class:`.AbstractConcreteBase`,
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which does not.
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Example::
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from sqlalchemy.ext.declarative import ConcreteBase
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class Employee(ConcreteBase, Base):
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__tablename__ = 'employee'
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employee_id = Column(Integer, primary_key=True)
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name = Column(String(50))
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__mapper_args__ = {
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'polymorphic_identity':'employee',
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'concrete':True}
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class Manager(Employee):
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__tablename__ = 'manager'
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employee_id = Column(Integer, primary_key=True)
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name = Column(String(50))
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manager_data = Column(String(40))
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__mapper_args__ = {
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'polymorphic_identity':'manager',
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'concrete':True}
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The name of the discriminator column used by :func:`.polymorphic_union`
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defaults to the name ``type``. To suit the use case of a mapping where an
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actual column in a mapped table is already named ``type``, the
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discriminator name can be configured by setting the
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``_concrete_discriminator_name`` attribute::
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class Employee(ConcreteBase, Base):
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_concrete_discriminator_name = '_concrete_discriminator'
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.. versionadded:: 1.3.19 Added the ``_concrete_discriminator_name``
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attribute to :class:`_declarative.ConcreteBase` so that the
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virtual discriminator column name can be customized.
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.. versionchanged:: 1.4.2 The ``_concrete_discriminator_name`` attribute
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need only be placed on the basemost class to take correct effect for
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all subclasses. An explicit error message is now raised if the
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mapped column names conflict with the discriminator name, whereas
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in the 1.3.x series there would be some warnings and then a non-useful
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query would be generated.
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.. seealso::
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:class:`.AbstractConcreteBase`
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:ref:`concrete_inheritance`
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"""
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@classmethod
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def _create_polymorphic_union(cls, mappers, discriminator_name):
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return polymorphic_union(
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OrderedDict(
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(mp.polymorphic_identity, mp.local_table) for mp in mappers
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),
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discriminator_name,
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"pjoin",
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)
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@classmethod
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def __declare_first__(cls):
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m = cls.__mapper__
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if m.with_polymorphic:
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return
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discriminator_name = (
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getattr(cls, "_concrete_discriminator_name", None) or "type"
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)
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mappers = list(m.self_and_descendants)
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pjoin = cls._create_polymorphic_union(mappers, discriminator_name)
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m._set_with_polymorphic(("*", pjoin))
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m._set_polymorphic_on(pjoin.c[discriminator_name])
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class AbstractConcreteBase(ConcreteBase):
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"""A helper class for 'concrete' declarative mappings.
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:class:`.AbstractConcreteBase` will use the :func:`.polymorphic_union`
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function automatically, against all tables mapped as a subclass
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to this class. The function is called via the
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``__declare_last__()`` function, which is essentially
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a hook for the :meth:`.after_configured` event.
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:class:`.AbstractConcreteBase` does produce a mapped class
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for the base class, however it is not persisted to any table; it
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is instead mapped directly to the "polymorphic" selectable directly
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and is only used for selecting. Compare to :class:`.ConcreteBase`,
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which does create a persisted table for the base class.
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.. note::
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The :class:`.AbstractConcreteBase` delays the mapper creation of the
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base class until all the subclasses have been defined,
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as it needs to create a mapping against a selectable that will include
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all subclass tables. In order to achieve this, it waits for the
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**mapper configuration event** to occur, at which point it scans
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through all the configured subclasses and sets up a mapping that will
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query against all subclasses at once.
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While this event is normally invoked automatically, in the case of
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:class:`.AbstractConcreteBase`, it may be necessary to invoke it
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explicitly after **all** subclass mappings are defined, if the first
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operation is to be a query against this base class. To do so, once all
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the desired classes have been configured, the
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:meth:`_orm.registry.configure` method on the :class:`_orm.registry`
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in use can be invoked, which is available in relation to a particular
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declarative base class::
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Base.registry.configure()
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Example::
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from sqlalchemy.ext.declarative import AbstractConcreteBase
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from sqlalchemy.orm import declarative_base
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Base = declarative_base()
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class Employee(AbstractConcreteBase, Base):
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pass
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class Manager(Employee):
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__tablename__ = 'manager'
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employee_id = Column(Integer, primary_key=True)
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name = Column(String(50))
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manager_data = Column(String(40))
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__mapper_args__ = {
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'polymorphic_identity':'manager',
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'concrete':True
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}
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Base.registry.configure()
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The abstract base class is handled by declarative in a special way;
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at class configuration time, it behaves like a declarative mixin
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or an ``__abstract__`` base class. Once classes are configured
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and mappings are produced, it then gets mapped itself, but
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after all of its descendants. This is a very unique system of mapping
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not found in any other SQLAlchemy system.
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Using this approach, we can specify columns and properties
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that will take place on mapped subclasses, in the way that
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we normally do as in :ref:`declarative_mixins`::
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class Company(Base):
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__tablename__ = 'company'
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id = Column(Integer, primary_key=True)
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class Employee(AbstractConcreteBase, Base):
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employee_id = Column(Integer, primary_key=True)
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@declared_attr
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def company_id(cls):
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return Column(ForeignKey('company.id'))
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@declared_attr
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def company(cls):
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return relationship("Company")
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class Manager(Employee):
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__tablename__ = 'manager'
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name = Column(String(50))
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manager_data = Column(String(40))
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__mapper_args__ = {
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'polymorphic_identity':'manager',
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'concrete':True
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}
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Base.registry.configure()
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When we make use of our mappings however, both ``Manager`` and
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``Employee`` will have an independently usable ``.company`` attribute::
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session.execute(
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select(Employee).filter(Employee.company.has(id=5))
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)
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.. seealso::
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:class:`.ConcreteBase`
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:ref:`concrete_inheritance`
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:ref:`abstract_concrete_base`
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"""
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__no_table__ = True
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@classmethod
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def __declare_first__(cls):
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cls._sa_decl_prepare_nocascade()
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@classmethod
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def _sa_decl_prepare_nocascade(cls):
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if getattr(cls, "__mapper__", None):
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return
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to_map = _DeferredMapperConfig.config_for_cls(cls)
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# can't rely on 'self_and_descendants' here
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# since technically an immediate subclass
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# might not be mapped, but a subclass
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# may be.
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mappers = []
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stack = list(cls.__subclasses__())
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while stack:
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klass = stack.pop()
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stack.extend(klass.__subclasses__())
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mn = _mapper_or_none(klass)
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if mn is not None:
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mappers.append(mn)
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discriminator_name = (
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getattr(cls, "_concrete_discriminator_name", None) or "type"
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)
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pjoin = cls._create_polymorphic_union(mappers, discriminator_name)
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# For columns that were declared on the class, these
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# are normally ignored with the "__no_table__" mapping,
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# unless they have a different attribute key vs. col name
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# and are in the properties argument.
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# In that case, ensure we update the properties entry
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# to the correct column from the pjoin target table.
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declared_cols = set(to_map.declared_columns)
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for k, v in list(to_map.properties.items()):
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if v in declared_cols:
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to_map.properties[k] = pjoin.c[v.key]
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to_map.local_table = pjoin
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m_args = to_map.mapper_args_fn or dict
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def mapper_args():
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args = m_args()
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args["polymorphic_on"] = pjoin.c[discriminator_name]
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return args
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to_map.mapper_args_fn = mapper_args
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m = to_map.map()
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for scls in cls.__subclasses__():
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sm = _mapper_or_none(scls)
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if sm and sm.concrete and cls in scls.__bases__:
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sm._set_concrete_base(m)
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@classmethod
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def _sa_raise_deferred_config(cls):
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raise orm_exc.UnmappedClassError(
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cls,
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msg="Class %s is a subclass of AbstractConcreteBase and "
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"has a mapping pending until all subclasses are defined. "
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"Call the sqlalchemy.orm.configure_mappers() function after "
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"all subclasses have been defined to "
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"complete the mapping of this class."
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% orm_exc._safe_cls_name(cls),
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)
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class DeferredReflection(object):
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"""A helper class for construction of mappings based on
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a deferred reflection step.
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Normally, declarative can be used with reflection by
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setting a :class:`_schema.Table` object using autoload_with=engine
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as the ``__table__`` attribute on a declarative class.
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The caveat is that the :class:`_schema.Table` must be fully
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reflected, or at the very least have a primary key column,
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at the point at which a normal declarative mapping is
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constructed, meaning the :class:`_engine.Engine` must be available
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at class declaration time.
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The :class:`.DeferredReflection` mixin moves the construction
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of mappers to be at a later point, after a specific
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method is called which first reflects all :class:`_schema.Table`
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objects created so far. Classes can define it as such::
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from sqlalchemy.ext.declarative import declarative_base
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from sqlalchemy.ext.declarative import DeferredReflection
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Base = declarative_base()
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class MyClass(DeferredReflection, Base):
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__tablename__ = 'mytable'
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Above, ``MyClass`` is not yet mapped. After a series of
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classes have been defined in the above fashion, all tables
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can be reflected and mappings created using
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:meth:`.prepare`::
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engine = create_engine("someengine://...")
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DeferredReflection.prepare(engine)
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The :class:`.DeferredReflection` mixin can be applied to individual
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classes, used as the base for the declarative base itself,
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or used in a custom abstract class. Using an abstract base
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allows that only a subset of classes to be prepared for a
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particular prepare step, which is necessary for applications
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that use more than one engine. For example, if an application
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has two engines, you might use two bases, and prepare each
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separately, e.g.::
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class ReflectedOne(DeferredReflection, Base):
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__abstract__ = True
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class ReflectedTwo(DeferredReflection, Base):
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__abstract__ = True
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class MyClass(ReflectedOne):
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__tablename__ = 'mytable'
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class MyOtherClass(ReflectedOne):
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__tablename__ = 'myothertable'
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class YetAnotherClass(ReflectedTwo):
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__tablename__ = 'yetanothertable'
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# ... etc.
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Above, the class hierarchies for ``ReflectedOne`` and
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``ReflectedTwo`` can be configured separately::
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ReflectedOne.prepare(engine_one)
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ReflectedTwo.prepare(engine_two)
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.. seealso::
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:ref:`orm_declarative_reflected_deferred_reflection` - in the
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:ref:`orm_declarative_table_config_toplevel` section.
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"""
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@classmethod
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def prepare(cls, engine):
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"""Reflect all :class:`_schema.Table` objects for all current
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:class:`.DeferredReflection` subclasses"""
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to_map = _DeferredMapperConfig.classes_for_base(cls)
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with inspection.inspect(engine)._inspection_context() as insp:
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for thingy in to_map:
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cls._sa_decl_prepare(thingy.local_table, insp)
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thingy.map()
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mapper = thingy.cls.__mapper__
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metadata = mapper.class_.metadata
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for rel in mapper._props.values():
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if (
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isinstance(rel, relationships.RelationshipProperty)
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and rel.secondary is not None
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):
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if isinstance(rel.secondary, Table):
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cls._reflect_table(rel.secondary, insp)
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elif isinstance(rel.secondary, str):
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_, resolve_arg = _resolver(rel.parent.class_, rel)
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rel.secondary = resolve_arg(rel.secondary)
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rel.secondary._resolvers += (
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cls._sa_deferred_table_resolver(
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insp, metadata
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),
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)
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# controversy! do we resolve it here? or leave
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# it deferred? I think doing it here is necessary
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# so the connection does not leak.
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rel.secondary = rel.secondary()
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@classmethod
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def _sa_deferred_table_resolver(cls, inspector, metadata):
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def _resolve(key):
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t1 = Table(key, metadata)
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cls._reflect_table(t1, inspector)
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return t1
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return _resolve
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@classmethod
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def _sa_decl_prepare(cls, local_table, inspector):
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# autoload Table, which is already
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# present in the metadata. This
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# will fill in db-loaded columns
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# into the existing Table object.
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if local_table is not None:
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cls._reflect_table(local_table, inspector)
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@classmethod
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def _sa_raise_deferred_config(cls):
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raise orm_exc.UnmappedClassError(
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cls,
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msg="Class %s is a subclass of DeferredReflection. "
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"Mappings are not produced until the .prepare() "
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"method is called on the class hierarchy."
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% orm_exc._safe_cls_name(cls),
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)
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@classmethod
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def _reflect_table(cls, table, inspector):
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Table(
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table.name,
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table.metadata,
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extend_existing=True,
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autoload_replace=False,
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autoload_with=inspector,
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schema=table.schema,
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)
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