OpenHome/venv/Lib/site-packages/sqlalchemy/ext/declarative/extensions.py

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# ext/declarative/extensions.py
# Copyright (C) 2005-2021 the SQLAlchemy authors and contributors
# <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
"""Public API functions and helpers for declarative."""
from ... import inspection
from ... import util
from ...orm import exc as orm_exc
from ...orm import registry
from ...orm import relationships
from ...orm.base import _mapper_or_none
from ...orm.clsregistry import _resolver
from ...orm.decl_base import _DeferredMapperConfig
from ...orm.util import polymorphic_union
from ...schema import Table
from ...util import OrderedDict
@util.deprecated(
"2.0",
"the instrument_declarative function is deprecated "
"and will be removed in SQLAlhcemy 2.0. Please use "
":meth:`_orm.registry.map_declaratively",
)
def instrument_declarative(cls, cls_registry, metadata):
"""Given a class, configure the class declaratively,
using the given registry, which can be any dictionary, and
MetaData object.
"""
registry(metadata=metadata, class_registry=cls_registry).map_declaratively(
cls
)
class ConcreteBase(object):
"""A helper class for 'concrete' declarative mappings.
:class:`.ConcreteBase` will use the :func:`.polymorphic_union`
function automatically, against all tables mapped as a subclass
to this class. The function is called via the
``__declare_last__()`` function, which is essentially
a hook for the :meth:`.after_configured` event.
:class:`.ConcreteBase` produces a mapped
table for the class itself. Compare to :class:`.AbstractConcreteBase`,
which does not.
Example::
from sqlalchemy.ext.declarative import ConcreteBase
class Employee(ConcreteBase, Base):
__tablename__ = 'employee'
employee_id = Column(Integer, primary_key=True)
name = Column(String(50))
__mapper_args__ = {
'polymorphic_identity':'employee',
'concrete':True}
class Manager(Employee):
__tablename__ = 'manager'
employee_id = Column(Integer, primary_key=True)
name = Column(String(50))
manager_data = Column(String(40))
__mapper_args__ = {
'polymorphic_identity':'manager',
'concrete':True}
The name of the discriminator column used by :func:`.polymorphic_union`
defaults to the name ``type``. To suit the use case of a mapping where an
actual column in a mapped table is already named ``type``, the
discriminator name can be configured by setting the
``_concrete_discriminator_name`` attribute::
class Employee(ConcreteBase, Base):
_concrete_discriminator_name = '_concrete_discriminator'
.. versionadded:: 1.3.19 Added the ``_concrete_discriminator_name``
attribute to :class:`_declarative.ConcreteBase` so that the
virtual discriminator column name can be customized.
.. versionchanged:: 1.4.2 The ``_concrete_discriminator_name`` attribute
need only be placed on the basemost class to take correct effect for
all subclasses. An explicit error message is now raised if the
mapped column names conflict with the discriminator name, whereas
in the 1.3.x series there would be some warnings and then a non-useful
query would be generated.
.. seealso::
:class:`.AbstractConcreteBase`
:ref:`concrete_inheritance`
"""
@classmethod
def _create_polymorphic_union(cls, mappers, discriminator_name):
return polymorphic_union(
OrderedDict(
(mp.polymorphic_identity, mp.local_table) for mp in mappers
),
discriminator_name,
"pjoin",
)
@classmethod
def __declare_first__(cls):
m = cls.__mapper__
if m.with_polymorphic:
return
discriminator_name = (
getattr(cls, "_concrete_discriminator_name", None) or "type"
)
mappers = list(m.self_and_descendants)
pjoin = cls._create_polymorphic_union(mappers, discriminator_name)
m._set_with_polymorphic(("*", pjoin))
m._set_polymorphic_on(pjoin.c[discriminator_name])
class AbstractConcreteBase(ConcreteBase):
"""A helper class for 'concrete' declarative mappings.
:class:`.AbstractConcreteBase` will use the :func:`.polymorphic_union`
function automatically, against all tables mapped as a subclass
to this class. The function is called via the
``__declare_last__()`` function, which is essentially
a hook for the :meth:`.after_configured` event.
:class:`.AbstractConcreteBase` does produce a mapped class
for the base class, however it is not persisted to any table; it
is instead mapped directly to the "polymorphic" selectable directly
and is only used for selecting. Compare to :class:`.ConcreteBase`,
which does create a persisted table for the base class.
.. note::
The :class:`.AbstractConcreteBase` class does not intend to set up the
mapping for the base class until all the subclasses have been defined,
as it needs to create a mapping against a selectable that will include
all subclass tables. In order to achieve this, it waits for the
**mapper configuration event** to occur, at which point it scans
through all the configured subclasses and sets up a mapping that will
query against all subclasses at once.
While this event is normally invoked automatically, in the case of
:class:`.AbstractConcreteBase`, it may be necessary to invoke it
explicitly after **all** subclass mappings are defined, if the first
operation is to be a query against this base class. To do so, invoke
:func:`.configure_mappers` once all the desired classes have been
configured::
from sqlalchemy.orm import configure_mappers
configure_mappers()
.. seealso::
:func:`_orm.configure_mappers`
Example::
from sqlalchemy.ext.declarative import AbstractConcreteBase
class Employee(AbstractConcreteBase, Base):
pass
class Manager(Employee):
__tablename__ = 'manager'
employee_id = Column(Integer, primary_key=True)
name = Column(String(50))
manager_data = Column(String(40))
__mapper_args__ = {
'polymorphic_identity':'manager',
'concrete':True}
configure_mappers()
The abstract base class is handled by declarative in a special way;
at class configuration time, it behaves like a declarative mixin
or an ``__abstract__`` base class. Once classes are configured
and mappings are produced, it then gets mapped itself, but
after all of its descendants. This is a very unique system of mapping
not found in any other SQLAlchemy system.
Using this approach, we can specify columns and properties
that will take place on mapped subclasses, in the way that
we normally do as in :ref:`declarative_mixins`::
class Company(Base):
__tablename__ = 'company'
id = Column(Integer, primary_key=True)
class Employee(AbstractConcreteBase, Base):
employee_id = Column(Integer, primary_key=True)
@declared_attr
def company_id(cls):
return Column(ForeignKey('company.id'))
@declared_attr
def company(cls):
return relationship("Company")
class Manager(Employee):
__tablename__ = 'manager'
name = Column(String(50))
manager_data = Column(String(40))
__mapper_args__ = {
'polymorphic_identity':'manager',
'concrete':True}
configure_mappers()
When we make use of our mappings however, both ``Manager`` and
``Employee`` will have an independently usable ``.company`` attribute::
session.query(Employee).filter(Employee.company.has(id=5))
.. versionchanged:: 1.0.0 - The mechanics of :class:`.AbstractConcreteBase`
have been reworked to support relationships established directly
on the abstract base, without any special configurational steps.
.. seealso::
:class:`.ConcreteBase`
:ref:`concrete_inheritance`
"""
__no_table__ = True
@classmethod
def __declare_first__(cls):
cls._sa_decl_prepare_nocascade()
@classmethod
def _sa_decl_prepare_nocascade(cls):
if getattr(cls, "__mapper__", None):
return
to_map = _DeferredMapperConfig.config_for_cls(cls)
# can't rely on 'self_and_descendants' here
# since technically an immediate subclass
# might not be mapped, but a subclass
# may be.
mappers = []
stack = list(cls.__subclasses__())
while stack:
klass = stack.pop()
stack.extend(klass.__subclasses__())
mn = _mapper_or_none(klass)
if mn is not None:
mappers.append(mn)
discriminator_name = (
getattr(cls, "_concrete_discriminator_name", None) or "type"
)
pjoin = cls._create_polymorphic_union(mappers, discriminator_name)
# For columns that were declared on the class, these
# are normally ignored with the "__no_table__" mapping,
# unless they have a different attribute key vs. col name
# and are in the properties argument.
# In that case, ensure we update the properties entry
# to the correct column from the pjoin target table.
declared_cols = set(to_map.declared_columns)
for k, v in list(to_map.properties.items()):
if v in declared_cols:
to_map.properties[k] = pjoin.c[v.key]
to_map.local_table = pjoin
m_args = to_map.mapper_args_fn or dict
def mapper_args():
args = m_args()
args["polymorphic_on"] = pjoin.c[discriminator_name]
return args
to_map.mapper_args_fn = mapper_args
m = to_map.map()
for scls in cls.__subclasses__():
sm = _mapper_or_none(scls)
if sm and sm.concrete and cls in scls.__bases__:
sm._set_concrete_base(m)
@classmethod
def _sa_raise_deferred_config(cls):
raise orm_exc.UnmappedClassError(
cls,
msg="Class %s is a subclass of AbstractConcreteBase and "
"has a mapping pending until all subclasses are defined. "
"Call the sqlalchemy.orm.configure_mappers() function after "
"all subclasses have been defined to "
"complete the mapping of this class."
% orm_exc._safe_cls_name(cls),
)
class DeferredReflection(object):
"""A helper class for construction of mappings based on
a deferred reflection step.
Normally, declarative can be used with reflection by
setting a :class:`_schema.Table` object using autoload_with=engine
as the ``__table__`` attribute on a declarative class.
The caveat is that the :class:`_schema.Table` must be fully
reflected, or at the very least have a primary key column,
at the point at which a normal declarative mapping is
constructed, meaning the :class:`_engine.Engine` must be available
at class declaration time.
The :class:`.DeferredReflection` mixin moves the construction
of mappers to be at a later point, after a specific
method is called which first reflects all :class:`_schema.Table`
objects created so far. Classes can define it as such::
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.ext.declarative import DeferredReflection
Base = declarative_base()
class MyClass(DeferredReflection, Base):
__tablename__ = 'mytable'
Above, ``MyClass`` is not yet mapped. After a series of
classes have been defined in the above fashion, all tables
can be reflected and mappings created using
:meth:`.prepare`::
engine = create_engine("someengine://...")
DeferredReflection.prepare(engine)
The :class:`.DeferredReflection` mixin can be applied to individual
classes, used as the base for the declarative base itself,
or used in a custom abstract class. Using an abstract base
allows that only a subset of classes to be prepared for a
particular prepare step, which is necessary for applications
that use more than one engine. For example, if an application
has two engines, you might use two bases, and prepare each
separately, e.g.::
class ReflectedOne(DeferredReflection, Base):
__abstract__ = True
class ReflectedTwo(DeferredReflection, Base):
__abstract__ = True
class MyClass(ReflectedOne):
__tablename__ = 'mytable'
class MyOtherClass(ReflectedOne):
__tablename__ = 'myothertable'
class YetAnotherClass(ReflectedTwo):
__tablename__ = 'yetanothertable'
# ... etc.
Above, the class hierarchies for ``ReflectedOne`` and
``ReflectedTwo`` can be configured separately::
ReflectedOne.prepare(engine_one)
ReflectedTwo.prepare(engine_two)
"""
@classmethod
def prepare(cls, engine):
"""Reflect all :class:`_schema.Table` objects for all current
:class:`.DeferredReflection` subclasses"""
to_map = _DeferredMapperConfig.classes_for_base(cls)
with inspection.inspect(engine)._inspection_context() as insp:
for thingy in to_map:
cls._sa_decl_prepare(thingy.local_table, insp)
thingy.map()
mapper = thingy.cls.__mapper__
metadata = mapper.class_.metadata
for rel in mapper._props.values():
if (
isinstance(rel, relationships.RelationshipProperty)
and rel.secondary is not None
):
if isinstance(rel.secondary, Table):
cls._reflect_table(rel.secondary, insp)
elif isinstance(rel.secondary, str):
_, resolve_arg = _resolver(rel.parent.class_, rel)
rel.secondary = resolve_arg(rel.secondary)
rel.secondary._resolvers += (
cls._sa_deferred_table_resolver(
insp, metadata
),
)
# controversy! do we resolve it here? or leave
# it deferred? I think doing it here is necessary
# so the connection does not leak.
rel.secondary = rel.secondary()
@classmethod
def _sa_deferred_table_resolver(cls, inspector, metadata):
def _resolve(key):
t1 = Table(key, metadata)
cls._reflect_table(t1, inspector)
return t1
return _resolve
@classmethod
def _sa_decl_prepare(cls, local_table, inspector):
# autoload Table, which is already
# present in the metadata. This
# will fill in db-loaded columns
# into the existing Table object.
if local_table is not None:
cls._reflect_table(local_table, inspector)
@classmethod
def _sa_raise_deferred_config(cls):
raise orm_exc.UnmappedClassError(
cls,
msg="Class %s is a subclass of DeferredReflection. "
"Mappings are not produced until the .prepare() "
"method is called on the class hierarchy."
% orm_exc._safe_cls_name(cls),
)
@classmethod
def _reflect_table(cls, table, inspector):
Table(
table.name,
table.metadata,
extend_existing=True,
autoload_replace=False,
autoload_with=inspector,
schema=table.schema,
)