support as_declarative, as_declarative_base

Added support for the Mypy extension to correctly interpret a declarative
base class that's generated using the :func:`_orm.as_declarative` function
as well as the :meth:`_orm.registry.as_declarative_base` method.

Change-Id: I227f4abebe157a7df3f8772893bbea6669cc8555
This commit is contained in:
Mike Bayer
2021-03-23 18:49:28 -04:00
parent a22b4dfbc4
commit 974f414ea4
5 changed files with 147 additions and 38 deletions
+6
View File
@@ -0,0 +1,6 @@
.. change::
:tags: bug, mypy
Added support for the Mypy extension to correctly interpret a declarative
base class that's generated using the :func:`_orm.as_declarative` function
as well as the :meth:`_orm.registry.as_declarative_base` method.
+17 -1
View File
@@ -34,7 +34,8 @@ SYNONYM_PROPERTY = util.symbol("SYNONYM_PROPERTY")
COMPOSITE_PROPERTY = util.symbol("COMPOSITE_PROPERTY")
DECLARED_ATTR = util.symbol("DECLARED_ATTR")
MAPPER_PROPERTY = util.symbol("MAPPER_PROPERTY")
AS_DECLARATIVE = util.symbol("AS_DECLARATIVE")
AS_DECLARATIVE_BASE = util.symbol("AS_DECLARATIVE_BASE")
_lookup = {
"Column": (
@@ -111,6 +112,21 @@ _lookup = {
"sqlalchemy.orm.registry.mapped",
},
),
"as_declarative": (
AS_DECLARATIVE,
{
"sqlalchemy.ext.declarative.as_declarative",
"sqlalchemy.orm.decl_api.as_declarative",
"sqlalchemy.orm.as_declarative",
},
),
"as_declarative_base": (
AS_DECLARATIVE_BASE,
{
"sqlalchemy.orm.decl_api.registry.as_declarative_base",
"sqlalchemy.orm.registry.as_declarative_base",
},
),
"declared_attr": (
DECLARED_ATTR,
{
+70 -37
View File
@@ -30,6 +30,7 @@ from mypy.plugin import ClassDefContext
from mypy.plugin import DynamicClassDefContext
from mypy.plugin import Optional
from mypy.plugin import Plugin
from mypy.plugin import SemanticAnalyzerPluginInterface
from mypy.types import Instance
from . import decl_class
@@ -69,13 +70,18 @@ class CustomPlugin(Plugin):
) -> Optional[Callable[[ClassDefContext], None]]:
sym = self.lookup_fully_qualified(fullname)
if (
sym is not None
and names._type_id_for_named_node(sym.node)
is names.MAPPED_DECORATOR
):
return _cls_decorator_hook
elif sym is not None and names._type_id_for_named_node(sym.node) in (
names.AS_DECLARATIVE,
names.AS_DECLARATIVE_BASE,
):
return _base_cls_decorator_hook
return None
def get_customize_class_mro_hook(
@@ -116,39 +122,47 @@ def _fill_in_decorators(ctx: ClassDefContext) -> None:
# set the ".fullname" attribute of a class decorator
# that is a MemberExpr. This causes the logic in
# semanal.py->apply_class_plugin_hooks to invoke the
# get_class_decorator_hook for our "registry.map_class()" method.
# get_class_decorator_hook for our "registry.map_class()"
# and "registry.as_declarative_base()" methods.
# this seems like a bug in mypy that these decorators are otherwise
# skipped.
if (
isinstance(decorator, nodes.CallExpr)
and isinstance(decorator.callee, nodes.MemberExpr)
and decorator.callee.name == "as_declarative_base"
):
target = decorator.callee
elif (
isinstance(decorator, nodes.MemberExpr)
and decorator.name == "mapped"
):
target = decorator
else:
continue
sym = ctx.api.lookup(
decorator.expr.name, decorator, suppress_errors=True
)
if sym:
if sym.node.type and hasattr(sym.node.type, "type"):
decorator.fullname = (
f"{sym.node.type.type.fullname}.{decorator.name}"
)
else:
# if the registry is in the same file as where the
# decorator is used, it might not have semantic
# symbols applied and we can't get a fully qualified
# name or an inferred type, so we are actually going to
# flag an error in this case that they need to annotate
# it. The "registry" is declared just
# once (or few times), so they have to just not use
# type inference for its assignment in this one case.
util.fail(
ctx.api,
"Class decorator called mapped(), but we can't "
"tell if it's from an ORM registry. Please "
"annotate the registry assignment, e.g. "
"my_registry: registry = registry()",
sym.node,
)
sym = ctx.api.lookup(target.expr.name, target, suppress_errors=True)
if sym:
if sym.node.type and hasattr(sym.node.type, "type"):
target.fullname = (
f"{sym.node.type.type.fullname}.{target.name}"
)
else:
# if the registry is in the same file as where the
# decorator is used, it might not have semantic
# symbols applied and we can't get a fully qualified
# name or an inferred type, so we are actually going to
# flag an error in this case that they need to annotate
# it. The "registry" is declared just
# once (or few times), so they have to just not use
# type inference for its assignment in this one case.
util.fail(
ctx.api,
"Class decorator called %s(), but we can't "
"tell if it's from an ORM registry. Please "
"annotate the registry assignment, e.g. "
"my_registry: registry = registry()" % target.name,
sym.node,
)
def _cls_metadata_hook(ctx: ClassDefContext) -> None:
@@ -167,14 +181,10 @@ def _cls_decorator_hook(ctx: ClassDefContext) -> None:
decl_class._scan_declarative_assignments_and_apply_types(ctx.cls, ctx.api)
def _dynamic_class_hook(ctx: DynamicClassDefContext) -> None:
"""Generate a declarative Base class when the declarative_base() function
is encountered."""
cls = ClassDef(ctx.name, Block([]))
cls.fullname = ctx.api.qualified_name(ctx.name)
declarative_meta_sym: SymbolTableNode = ctx.api.modules[
def _make_declarative_meta(
api: SemanticAnalyzerPluginInterface, target_cls: ClassDef
):
declarative_meta_sym: SymbolTableNode = api.modules[
"sqlalchemy.orm.decl_api"
].names["DeclarativeMeta"]
declarative_meta_typeinfo: TypeInfo = declarative_meta_sym.node
@@ -184,13 +194,35 @@ def _dynamic_class_hook(ctx: DynamicClassDefContext) -> None:
declarative_meta_name.fullname = "sqlalchemy.orm.decl_api.DeclarativeMeta"
declarative_meta_name.node = declarative_meta_typeinfo
cls.metaclass = declarative_meta_name
target_cls.metaclass = declarative_meta_name
declarative_meta_instance = Instance(declarative_meta_typeinfo, [])
info = TypeInfo(SymbolTable(), cls, ctx.api.cur_mod_id)
info = target_cls.info
info.declared_metaclass = info.metaclass_type = declarative_meta_instance
def _base_cls_decorator_hook(ctx: ClassDefContext) -> None:
cls = ctx.cls
_make_declarative_meta(ctx.api, cls)
decl_class._scan_declarative_assignments_and_apply_types(
cls, ctx.api, is_mixin_scan=True
)
def _dynamic_class_hook(ctx: DynamicClassDefContext) -> None:
"""Generate a declarative Base class when the declarative_base() function
is encountered."""
cls = ClassDef(ctx.name, Block([]))
cls.fullname = ctx.api.qualified_name(ctx.name)
info = TypeInfo(SymbolTable(), cls, ctx.api.cur_mod_id)
cls.info = info
_make_declarative_meta(ctx.api, cls)
cls_arg = util._get_callexpr_kwarg(ctx.call, "cls")
if cls_arg is not None:
@@ -209,6 +241,7 @@ def _dynamic_class_hook(ctx: DynamicClassDefContext) -> None:
util.fail(
ctx.api, "Not able to calculate MRO for declarative base", ctx.call
)
obj = ctx.api.builtin_type("builtins.object")
info.bases = [obj]
info.fallback_to_any = True
+26
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@@ -0,0 +1,26 @@
from sqlalchemy import Column
from sqlalchemy import Integer
from sqlalchemy import String
from sqlalchemy.ext.declarative import as_declarative
@as_declarative
class Base(object):
updated_at = Column(Integer)
class Foo(Base):
__tablename__ = "foo"
id: int = Column(Integer(), primary_key=True)
name: str = Column(String)
f1 = Foo()
val: int = f1.id
p: str = f1.name
Foo.id.property
f2 = Foo(name="some name", updated_at=5)
@@ -0,0 +1,28 @@
from sqlalchemy import Column
from sqlalchemy import Integer
from sqlalchemy import String
from sqlalchemy.orm import registry
reg: registry = registry()
@reg.as_declarative_base()
class Base(object):
updated_at = Column(Integer)
class Foo(Base):
__tablename__ = "foo"
id: int = Column(Integer(), primary_key=True)
name: str = Column(String)
f1 = Foo()
val: int = f1.id
p: str = f1.name
Foo.id.property
f2 = Foo(name="some name", updated_at=5)