def pytd_annotated(parameters: List[Any]) -> pytd.Type:
"""Create a pytd.Annotated."""
if len(parameters) < 2:
raise ParseError("typing.Annotated takes at least two parameters: "
"Annotated[type, annotation, ...].")
typ, *annotations = parameters
annotations = tuple(map(_convert_annotated, annotations))
return pytd.Annotated(typ, annotations)
def VisitClass(self, node):
constants = list(node.constants)
for fn in self.const_properties[-1]:
ptypes = [x.return_type for x in fn.signatures]
prop = pytd.Annotated(base_type=pytd_utils.JoinTypes(ptypes),
annotations=("'property'",))
constants.append(pytd.Constant(name=fn.name, type=prop))
methods = [x for x in node.methods if x not in self.const_properties[-1]]
return node.Replace(constants=tuple(constants), methods=tuple(methods))
def value_to_pytd_def(self, node, v, name):
"""Get a PyTD definition for this object.
Args:
node: The node.
v: The object.
name: The object name.
Returns:
A PyTD definition.
"""
if isinstance(v, abstract.Module):
return pytd.Alias(name, pytd.Module(name, module_name=v.full_name))
elif isinstance(v, abstract.BoundFunction):
d = self.value_to_pytd_def(node, v.underlying, name)
assert isinstance(d, pytd.Function)
sigs = tuple(
sig.Replace(params=sig.params[1:]) for sig in d.signatures)
return d.Replace(signatures=sigs)
elif isinstance(v, attr_overlay.Attrs):
ret = pytd.NamedType("typing.Callable")
md = metadata.to_pytd(v.to_metadata())
return pytd.Annotated(ret, ("'pytype_metadata'", md))
elif (isinstance(v, abstract.PyTDFunction)
and not isinstance(v, typing_overlay.TypeVar)):
return pytd.Function(
name=name,
signatures=tuple(sig.pytd_sig for sig in v.signatures),
kind=v.kind,
flags=pytd.MethodFlag.abstract_flag(v.is_abstract))
elif isinstance(v, abstract.InterpreterFunction):
return self._function_to_def(node, v, name)
elif isinstance(v, abstract.SimpleFunction):
return self._simple_func_to_def(node, v, name)
elif isinstance(v, (abstract.ParameterizedClass, abstract.Union)):
return pytd.Alias(name, v.get_instance_type(node))
elif isinstance(v, abstract.PyTDClass) and v.module:
# This happens if a module does e.g. "from x import y as z", i.e., copies
# something from another module to the local namespace. We *could*
# reproduce the entire class, but we choose a more dense representation.
return v.to_type(node)
elif isinstance(v, typed_dict.TypedDictClass):
return self._typed_dict_to_def(node, v, name)
elif isinstance(v, abstract.PyTDClass): # a namedtuple instance
assert name != v.name
return pytd.Alias(name, pytd.NamedType(v.name))
elif isinstance(v, abstract.InterpreterClass):
if v.official_name is None or name == v.official_name:
return self._class_to_def(node, v, name)
else:
return pytd.Alias(name, pytd.NamedType(v.official_name))
elif isinstance(v, abstract.TypeParameter):
return self._typeparam_to_def(node, v, name)
elif isinstance(v, abstract.Unsolvable):
return pytd.Constant(name, v.to_type(node))
else:
raise NotImplementedError(v.__class__.__name__)
def pytd_annotated(parameters: List[Any]) -> pytd_node.Node:
"""Create a pytd.Annotated."""
if len(parameters) < 2:
raise ParseError("typing.Annotated takes at least two parameters: "
"Annotated[type, 'annotation', ...].")
typ, *annotations = parameters
if not all(isinstance(x, Constant) for x in annotations):
raise ParseError("Annotations needs to be string literals: "
"Annotated[type, 'annotation', ...].")
annotations = tuple(x.repr_str() for x in annotations)
return pytd.Annotated(typ, annotations)
def add_attributes_from(instance):
for name, member in instance.members.items():
if name in abstract_utils.CLASS_LEVEL_IGNORE or name in ignore:
continue
for value in member.FilteredData(self.ctx.exitpoint,
strict=False):
typ = value.to_type(node)
if pytd_utils.GetTypeParameters(typ):
# This attribute's type comes from an annotation that contains a
# type parameter; we do not want to merge in substituted values of
# the type parameter.
canonical_attributes.add(name)
if v.is_enum:
# If the containing class (v) is an enum, then output the instance
# attributes as properties.
# https://typing.readthedocs.io/en/latest/stubs.html#enums
typ = pytd.Annotated(typ, ("'property'", ))
constants[name].add_type(typ)
def _class_to_def(self, node, v, class_name):
"""Convert an InterpreterClass to a PyTD definition."""
self._scopes.append(class_name)
methods = {}
constants = collections.defaultdict(pytd_utils.TypeBuilder)
annots = abstract_utils.get_annotations_dict(v.members)
annotated_names = set()
for name, t in self.annotations_to_instance_types(node, annots):
constants[name].add_type(t)
annotated_names.add(name)
# class-level attributes
for name, member in v.members.items():
if name in CLASS_LEVEL_IGNORE or name in annotated_names:
continue
for value in member.FilteredData(self.vm.exitpoint, strict=False):
if isinstance(value, special_builtins.PropertyInstance):
# For simplicity, output properties as constants, since our parser
# turns them into constants anyway.
if value.fget:
for typ in self._function_to_return_types(
node, value.fget):
constants[name].add_type(
pytd.Annotated(typ, ("'property'", )))
else:
constants[name].add_type(
pytd.Annotated(pytd.AnythingType(),
("'property'", )))
elif isinstance(value, special_builtins.StaticMethodInstance):
try:
methods[name] = self._static_method_to_def(
node, value, name, pytd.MethodTypes.STATICMETHOD)
except abstract_utils.ConversionError:
constants[name].add_type(pytd.AnythingType())
elif isinstance(value, special_builtins.ClassMethodInstance):
try:
methods[name] = self._class_method_to_def(
node, value, name, pytd.MethodTypes.CLASSMETHOD)
except abstract_utils.ConversionError:
constants[name].add_type(pytd.AnythingType())
elif isinstance(value, abstract.Function):
# TODO(rechen): Removing mutations altogether won't work for generic
# classes. To support those, we'll need to change the mutated type's
# base to the current class, rename aliased type parameters, and
# replace any parameter not in the class or function template with
# its upper value.
methods[name] = self.value_to_pytd_def(
node, value,
name).Visit(visitors.DropMutableParameters())
else:
cls = self.vm.convert.merge_classes([value])
node, attr = self.vm.attribute_handler.get_attribute(
node, cls, "__get__")
if attr:
# This attribute is a descriptor. Its type is the return value of
# its __get__ method.
for typ in self._function_to_return_types(node, attr):
constants[name].add_type(typ)
else:
constants[name].add_type(value.to_type(node))
# Instance-level attributes: all attributes from 'canonical' instances (that
# is, ones created by analyze.py:analyze_class()) are added. Attributes from
# non-canonical instances are added if their canonical values do not contain
# type parameters.
ignore = set(annotated_names)
canonical_attributes = set()
def add_attributes_from(instance):
for name, member in instance.members.items():
if name in CLASS_LEVEL_IGNORE or name in ignore:
continue
for value in member.FilteredData(self.vm.exitpoint,
strict=False):
typ = value.to_type(node)
if pytd_utils.GetTypeParameters(typ):
# This attribute's type comes from an annotation that contains a
# type parameter; we do not want to merge in substituted values of
# the type parameter.
canonical_attributes.add(name)
constants[name].add_type(typ)
for instance in v.canonical_instances:
add_attributes_from(instance)
ignore |= canonical_attributes
for instance in v.instances - v.canonical_instances:
add_attributes_from(instance)
for name in list(methods):
if name in constants:
# If something is both a constant and a method, it means that the class
# is, at some point, overwriting its own methods with an attribute.
del methods[name]
constants[name].add_type(pytd.AnythingType())
constants = [
pytd.Constant(name, builder.build())
for name, builder in constants.items() if builder
]
metaclass = v.metaclass(node)
if metaclass is not None:
metaclass = metaclass.get_instance_type(node)
# Some of the class's bases may not be in global scope, so they won't show
# up in the output. In that case, fold the base class's type information
# into this class's pytd.
bases = []
missing_bases = []
for basevar in v.bases():
if basevar.data == [self.vm.convert.oldstyleclass_type]:
continue
elif len(basevar.bindings) == 1:
b, = basevar.data
if b.official_name is None and isinstance(
b, abstract.InterpreterClass):
missing_bases.append(b)
else:
bases.append(b.get_instance_type(node))
else:
bases.append(
pytd_utils.JoinTypes(
b.get_instance_type(node) for b in basevar.data))
# Collect nested classes
# TODO(mdemello): We cannot put these in the output yet; they fail in
# load_dependencies because of the dotted class name (google/pytype#150)
classes = [
self._class_to_def(node, x, x.name) for x in v.get_inner_classes()
]
classes = [x.Replace(name=class_name + "." + x.name) for x in classes]
cls = pytd.Class(name=class_name,
metaclass=metaclass,
parents=tuple(bases),
methods=tuple(methods.values()),
constants=tuple(constants),
classes=(),
decorators=(),
slots=v.slots,
template=())
for base in missing_bases:
base_cls = self.value_to_pytd_def(node, base, base.name)
cls = pytd_utils.MergeBaseClass(cls, base_cls)
self._scopes.pop()
return cls
def _class_to_def(self, node, v, class_name):
"""Convert an InterpreterClass to a PyTD definition."""
self._scopes.append(class_name)
methods = {}
constants = collections.defaultdict(pytd_utils.TypeBuilder)
annots = abstract_utils.get_annotations_dict(v.members)
annotated_names = set()
def add_constants(iterator):
for name, t in iterator:
if t is None:
# Remove the entry from constants
annotated_names.add(name)
elif name not in annotated_names:
constants[name].add_type(t)
annotated_names.add(name)
add_constants(
self._ordered_attrs_to_instance_types(node, v.metadata, annots))
add_constants(self.annotations_to_instance_types(node, annots))
def get_decorated_method(name, value, func_slot):
fvar = getattr(value, func_slot)
func = abstract_utils.get_atomic_value(fvar, abstract.Function)
defn = self.value_to_pytd_def(node, func, name)
defn = defn.Visit(visitors.DropMutableParameters())
return defn
def add_decorated_method(name, value, kind):
try:
defn = get_decorated_method(name, value, "func")
except (AttributeError, abstract_utils.ConversionError):
constants[name].add_type(pytd.AnythingType())
return
defn = defn.Replace(kind=kind)
methods[name] = defn
# If decorators are output as aliases to NamedTypes, they will be converted
# to Functions and fail a verification step if those functions have type
# parameters. Since we just want the function name, and since we have a
# fully resolved name at this stage, we just output a minimal pytd.Function
sig = pytd.Signature((), None, None, pytd.AnythingType(), (), ())
decorators = [
pytd.Alias(x, pytd.Function(x, (sig, ), pytd.MethodTypes.METHOD,
0)) for x in v.decorators
]
# class-level attributes
for name, member in v.members.items():
if name in CLASS_LEVEL_IGNORE or name in annotated_names:
continue
for value in member.FilteredData(self.vm.exitpoint, strict=False):
if isinstance(value, special_builtins.PropertyInstance):
# For simplicity, output properties as constants, since our parser
# turns them into constants anyway.
if value.fget:
for typ in self._function_to_return_types(
node, value.fget):
constants[name].add_type(
pytd.Annotated(typ, ("'property'", )))
else:
constants[name].add_type(
pytd.Annotated(pytd.AnythingType(),
("'property'", )))
elif isinstance(value, special_builtins.StaticMethodInstance):
add_decorated_method(name, value,
pytd.MethodTypes.STATICMETHOD)
elif isinstance(value, special_builtins.ClassMethodInstance):
add_decorated_method(name, value,
pytd.MethodTypes.CLASSMETHOD)
elif isinstance(value, abstract.Function):
# value_to_pytd_def returns different pytd node types depending on the
# input type, which pytype struggles to reason about.
method = cast(pytd.Function,
self.value_to_pytd_def(node, value, name))
keep = lambda name: not name or name.startswith(v.name)
signatures = tuple(
s for s in method.signatures
if not s.params or keep(s.params[0].type.name))
if signatures and signatures != method.signatures:
# Filter out calls made from subclasses unless they are the only
# ones recorded; when inferring types for ParentClass.__init__, we
# do not want `self: Union[ParentClass, Subclass]`.
method = method.Replace(signatures=signatures)
# TODO(rechen): Removing mutations altogether won't work for generic
# classes. To support those, we'll need to change the mutated type's
# base to the current class, rename aliased type parameters, and
# replace any parameter not in the class or function template with
# its upper value.
methods[name] = method.Visit(
visitors.DropMutableParameters())
else:
cls = self.vm.convert.merge_classes([value])
node, attr = self.vm.attribute_handler.get_attribute(
node, cls, "__get__")
if attr:
# This attribute is a descriptor. Its type is the return value of
# its __get__ method.
for typ in self._function_to_return_types(node, attr):
constants[name].add_type(typ)
else:
constants[name].add_type(value.to_type(node))
# Instance-level attributes: all attributes from 'canonical' instances (that
# is, ones created by analyze.py:analyze_class()) are added. Attributes from
# non-canonical instances are added if their canonical values do not contain
# type parameters.
ignore = set(annotated_names)
canonical_attributes = set()
def add_attributes_from(instance):
for name, member in instance.members.items():
if name in CLASS_LEVEL_IGNORE or name in ignore:
continue
for value in member.FilteredData(self.vm.exitpoint,
strict=False):
typ = value.to_type(node)
if pytd_utils.GetTypeParameters(typ):
# This attribute's type comes from an annotation that contains a
# type parameter; we do not want to merge in substituted values of
# the type parameter.
canonical_attributes.add(name)
constants[name].add_type(typ)
for instance in v.canonical_instances:
add_attributes_from(instance)
ignore |= canonical_attributes
for instance in v.instances - v.canonical_instances:
add_attributes_from(instance)
for name in list(methods):
if name in constants:
# If something is both a constant and a method, it means that the class
# is, at some point, overwriting its own methods with an attribute.
del methods[name]
constants[name].add_type(pytd.AnythingType())
constants = [
pytd.Constant(name, builder.build())
for name, builder in constants.items() if builder
]
metaclass = v.metaclass(node)
if metaclass is not None:
metaclass = metaclass.get_instance_type(node)
# Some of the class's bases may not be in global scope, so they won't show
# up in the output. In that case, fold the base class's type information
# into this class's pytd.
bases = []
missing_bases = []
for basevar in v.bases():
if basevar.data == [self.vm.convert.oldstyleclass_type]:
continue
elif len(basevar.bindings) == 1:
b, = basevar.data
if b.official_name is None and isinstance(
b, abstract.InterpreterClass):
missing_bases.append(b)
else:
bases.append(b.get_instance_type(node))
else:
bases.append(
pytd_utils.JoinTypes(
b.get_instance_type(node) for b in basevar.data))
# Collect nested classes
# TODO(mdemello): We cannot put these in the output yet; they fail in
# load_dependencies because of the dotted class name (google/pytype#150)
classes = [
self._class_to_def(node, x, x.name) for x in v.get_inner_classes()
]
classes = [x.Replace(name=class_name + "." + x.name) for x in classes]
cls = pytd.Class(name=class_name,
metaclass=metaclass,
parents=tuple(bases),
methods=tuple(methods.values()),
constants=tuple(constants),
classes=(),
decorators=tuple(decorators),
slots=v.slots,
template=())
for base in missing_bases:
base_cls = self.value_to_pytd_def(node, base, base.name)
cls = pytd_utils.MergeBaseClass(cls, base_cls)
self._scopes.pop()
return cls
def build(self):
"""Get a union of all the types added so far."""
if self.tags:
return pytd.Annotated(self.union, tuple(sorted(self.tags)))
else:
return self.union
def value_to_pytd_type(self, node, v, seen, view):
"""Get a PyTD type representing this object, as seen at a node.
Args:
node: The node from which we want to observe this object.
v: The object.
seen: The set of values seen before while computing the type.
view: A Variable -> binding map.
Returns:
A PyTD type.
"""
if isinstance(v, (abstract.Empty, typing_overlay.NoReturn)):
return pytd.NothingType()
elif isinstance(v, abstract.TypeParameterInstance):
if (v.module in self._scopes
or v.instance is abstract_utils.DUMMY_CONTAINER):
return self._typeparam_to_def(node, v.param, v.param.name)
elif v.instance.get_instance_type_parameter(v.full_name).bindings:
# The type parameter was initialized. Set the view to None, since we
# don't include v.instance in the view.
return pytd_utils.JoinTypes(
self.value_to_pytd_type(node, p, seen, None) for p in
v.instance.get_instance_type_parameter(v.full_name).data)
elif v.param.constraints:
return pytd_utils.JoinTypes(
self.value_instance_to_pytd_type(node, p, None, seen, view)
for p in v.param.constraints)
elif v.param.bound:
return self.value_instance_to_pytd_type(
node, v.param.bound, None, seen, view)
else:
return pytd.AnythingType()
elif isinstance(v, typing_overlay.TypeVar):
return pytd.NamedType("builtins.type")
elif isinstance(v, dataclass_overlay.FieldInstance):
if not v.default:
return pytd.AnythingType()
return pytd_utils.JoinTypes(
self.value_to_pytd_type(node, d, seen, view)
for d in v.default.data)
elif isinstance(v, attr_overlay.AttribInstance):
ret = self.value_to_pytd_type(node, v.typ, seen, view)
md = metadata.to_pytd(v.to_metadata())
return pytd.Annotated(ret, ("'pytype_metadata'", md))
elif isinstance(v, special_builtins.PropertyInstance):
return pytd.NamedType("builtins.property")
elif isinstance(v, typed_dict.TypedDict):
return pytd.NamedType(v.props.name)
elif isinstance(v, abstract.FUNCTION_TYPES):
try:
signatures = function.get_signatures(v)
except NotImplementedError:
return pytd.NamedType("typing.Callable")
if len(signatures) == 1:
val = self.signature_to_callable(signatures[0])
if not isinstance(
v, abstract.PYTD_FUNCTION_TYPES) or not val.formal:
# This is a workaround to make sure we don't put unexpected type
# parameters in call traces.
return self.value_instance_to_pytd_type(
node, val, None, seen, view)
return pytd.NamedType("typing.Callable")
elif isinstance(v, (abstract.ClassMethod, abstract.StaticMethod)):
return self.value_to_pytd_type(node, v.method, seen, view)
elif isinstance(v, (special_builtins.IsInstance,
special_builtins.ClassMethodCallable)):
return pytd.NamedType("typing.Callable")
elif isinstance(v, abstract.Class):
param = self.value_instance_to_pytd_type(node, v, None, seen, view)
return pytd.GenericType(base_type=pytd.NamedType("builtins.type"),
parameters=(param, ))
elif isinstance(v, abstract.Module):
return pytd.Alias(v.name,
pytd.Module(v.name, module_name=v.full_name))
elif (self._output_mode >= Converter.OutputMode.LITERAL
and isinstance(v, abstract.ConcreteValue)
and isinstance(v.pyval, (int, str, bytes))):
# LITERAL mode is used only for pretty-printing, so we just stringify the
# inner value rather than properly converting it.
return pytd.Literal(repr(v.pyval))
elif isinstance(v, abstract.SimpleValue):
ret = self.value_instance_to_pytd_type(node,
v.cls,
v,
seen=seen,
view=view)
ret.Visit(
visitors.FillInLocalPointers(
{"builtins": self.ctx.loader.builtins}))
return ret
elif isinstance(v, abstract.Union):
return pytd_utils.JoinTypes(
self.value_to_pytd_type(node, o, seen, view)
for o in v.options)
elif isinstance(v, special_builtins.SuperInstance):
return pytd.NamedType("builtins.super")
elif isinstance(v, abstract.TypeParameter):
# Arguably, the type of a type parameter is NamedType("typing.TypeVar"),
# but pytype doesn't know how to handle that, so let's just go with Any
# unless self._detailed is set.
if self._detailed:
return pytd.NamedType("typing.TypeVar")
else:
return pytd.AnythingType()
elif isinstance(v, abstract.Unsolvable):
return pytd.AnythingType()
elif isinstance(v, abstract.Unknown):
return pytd.NamedType(v.class_name)
elif isinstance(v, abstract.BuildClass):
return pytd.NamedType("typing.Callable")
elif isinstance(v, abstract.FinalAnnotation):
param = self.value_to_pytd_type(node, v.annotation, seen, view)
return pytd.GenericType(base_type=pytd.NamedType("typing.Final"),
parameters=(param, ))
else:
raise NotImplementedError(v.__class__.__name__)
