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Source code for proto.message
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import collections
import collections.abc
import copy
import re
from typing import List, Type
from google.protobuf import descriptor_pb2
from google.protobuf import message
from google.protobuf.json_format import MessageToDict, MessageToJson, Parse
from proto import _file_info
from proto import _package_info
from proto.fields import Field
from proto.fields import MapField
from proto.fields import RepeatedField
from proto.marshal import Marshal
from proto.primitives import ProtoType
class MessageMeta(type):
"""A metaclass for building and registering Message subclasses."""
def __new__(mcls, name, bases, attrs):
# Do not do any special behavior for Message itself.
if not bases:
return super().__new__(mcls, name, bases, attrs)
# Get the essential information about the proto package, and where
# this component belongs within the file.
package, marshal = _package_info.compile(name, attrs)
# Determine the local path of this proto component within the file.
local_path = tuple(attrs.get("__qualname__", name).split("."))
# Sanity check: We get the wrong full name if a class is declared
# inside a function local scope; correct this.
if "<locals>" in local_path:
ix = local_path.index("<locals>")
local_path = local_path[: ix - 1] + local_path[ix + 1 :]
# Determine the full name in protocol buffers.
full_name = ".".join((package,) + local_path).lstrip(".")
# Special case: Maps. Map fields are special; they are essentially
# shorthand for a nested message and a repeated field of that message.
# Decompose each map into its constituent form.
# https://developers.google.com/protocol-buffers/docs/proto3#maps
map_fields = {}
for key, field in attrs.items():
if not isinstance(field, MapField):
continue
# Determine the name of the entry message.
msg_name = "{pascal_key}Entry".format(
pascal_key=re.sub(
r"_\w", lambda m: m.group()[1:].upper(), key,
).replace(key[0], key[0].upper(), 1),
)
# Create the "entry" message (with the key and value fields).
#
# Note: We instantiate an ordered dictionary here and then
# attach key and value in order to ensure that the fields are
# iterated in the correct order when the class is created.
# This is only an issue in Python 3.5, where the order is
# random (and the wrong order causes the pool to refuse to add
# the descriptor because reasons).
entry_attrs = collections.OrderedDict(
{
"__module__": attrs.get("__module__", None),
"__qualname__": "{prefix}.{name}".format(
prefix=attrs.get("__qualname__", name), name=msg_name,
),
"_pb_options": {"map_entry": True},
}
)
entry_attrs["key"] = Field(field.map_key_type, number=1)
entry_attrs["value"] = Field(
field.proto_type, number=2, enum=field.enum, message=field.message,
)
map_fields[msg_name] = MessageMeta(msg_name, (Message,), entry_attrs)
# Create the repeated field for the entry message.
map_fields[key] = RepeatedField(
ProtoType.MESSAGE, number=field.number, message=map_fields[msg_name],
)
# Add the new entries to the attrs
attrs.update(map_fields)
# Okay, now we deal with all the rest of the fields.
# Iterate over all the attributes and separate the fields into
# their own sequence.
fields = []
new_attrs = {}
oneofs = collections.OrderedDict()
proto_imports = set()
index = 0
for key, field in attrs.items():
# Sanity check: If this is not a field, do nothing.
if not isinstance(field, Field):
# The field objects themselves should not be direct attributes.
new_attrs[key] = field
continue
# Add data that the field requires that we do not take in the
# constructor because we can derive it from the metaclass.
# (The goal is to make the declaration syntax as nice as possible.)
field.mcls_data = {
"name": key,
"parent_name": full_name,
"index": index,
"package": package,
}
# Add the field to the list of fields.
fields.append(field)
# If this field is part of a "oneof", ensure the oneof itself
# is represented.
if field.oneof:
# Keep a running tally of the index of each oneof, and assign
# that index to the field's descriptor.
oneofs.setdefault(field.oneof, len(oneofs))
field.descriptor.oneof_index = oneofs[field.oneof]
# If this field references a message, it may be from another
# proto file; ensure we know about the import (to faithfully
# construct our file descriptor proto).
if field.message and not isinstance(field.message, str):
field_msg = field.message
if hasattr(field_msg, "pb") and callable(field_msg.pb):
field_msg = field_msg.pb()
# Sanity check: The field's message may not yet be defined if
# it was a Message defined in the same file, and the file
# descriptor proto has not yet been generated.
#
# We do nothing in this situation; everything will be handled
# correctly when the file descriptor is created later.
if field_msg:
proto_imports.add(field_msg.DESCRIPTOR.file.name)
# Same thing, but for enums.
elif field.enum and not isinstance(field.enum, str):
field_enum = (
field.enum._meta.pb
if hasattr(field.enum, "_meta")
else field.enum.DESCRIPTOR
)
if field_enum:
proto_imports.add(field_enum.file.name)
# Increment the field index counter.
index += 1
# As per descriptor.proto, all synthetic oneofs must be ordered after
# 'real' oneofs.
opt_attrs = {}
for field in fields:
if field.optional:
field.oneof = "_{}".format(field.name)
field.descriptor.oneof_index = oneofs[field.oneof] = len(oneofs)
opt_attrs[field.name] = field.name
# Generating a metaclass dynamically provides class attributes that
# instances can't see. This provides idiomatically named constants
# that enable the following pattern to check for field presence:
#
# class MyMessage(proto.Message):
# field = proto.Field(proto.INT32, number=1, optional=True)
#
# m = MyMessage()
# MyMessage.field in m
if opt_attrs:
mcls = type("AttrsMeta", (mcls,), opt_attrs)
# Determine the filename.
# We determine an appropriate proto filename based on the
# Python module.
filename = _file_info._FileInfo.proto_file_name(
new_attrs.get("__module__", name.lower())
)
# Get or create the information about the file, including the
# descriptor to which the new message descriptor shall be added.
file_info = _file_info._FileInfo.maybe_add_descriptor(filename, package)
# Ensure any imports that would be necessary are assigned to the file
# descriptor proto being created.
for proto_import in proto_imports:
if proto_import not in file_info.descriptor.dependency:
file_info.descriptor.dependency.append(proto_import)
# Retrieve any message options.
opts = descriptor_pb2.MessageOptions(**new_attrs.pop("_pb_options", {}))
# Create the underlying proto descriptor.
desc = descriptor_pb2.DescriptorProto(
name=name,
field=[i.descriptor for i in fields],
oneof_decl=[
descriptor_pb2.OneofDescriptorProto(name=i) for i in oneofs.keys()
],
options=opts,
)
# If any descriptors were nested under this one, they need to be
# attached as nested types here.
child_paths = [p for p in file_info.nested.keys() if local_path == p[:-1]]
for child_path in child_paths:
desc.nested_type.add().MergeFrom(file_info.nested.pop(child_path))
# Same thing, but for enums
child_paths = [p for p in file_info.nested_enum.keys() if local_path == p[:-1]]
for child_path in child_paths:
desc.enum_type.add().MergeFrom(file_info.nested_enum.pop(child_path))
# Add the descriptor to the file if it is a top-level descriptor,
# or to a "holding area" for nested messages otherwise.
if len(local_path) == 1:
file_info.descriptor.message_type.add().MergeFrom(desc)
else:
file_info.nested[local_path] = desc
# Create the MessageInfo instance to be attached to this message.
new_attrs["_meta"] = _MessageInfo(
fields=fields,
full_name=full_name,
marshal=marshal,
options=opts,
package=package,
)
# Run the superclass constructor.
cls = super().__new__(mcls, name, bases, new_attrs)
# The info class and fields need a reference to the class just created.
cls._meta.parent = cls
for field in cls._meta.fields.values():
field.parent = cls
# Add this message to the _FileInfo instance; this allows us to
# associate the descriptor with the message once the descriptor
# is generated.
file_info.messages[full_name] = cls
# Generate the descriptor for the file if it is ready.
if file_info.ready(new_class=cls):
file_info.generate_file_pb(new_class=cls, fallback_salt=full_name)
# Done; return the class.
return cls
@classmethod
def __prepare__(mcls, name, bases, **kwargs):
return collections.OrderedDict()
@property
def meta(cls):
return cls._meta
def pb(cls, obj=None, *, coerce: bool = False):
"""Return the underlying protobuf Message class or instance.
Args:
obj: If provided, and an instance of ``cls``, return the
underlying protobuf instance.
coerce (bool): If provided, will attempt to coerce ``obj`` to
``cls`` if it is not already an instance.
"""
if obj is None:
return cls.meta.pb
if not isinstance(obj, cls):
if coerce:
obj = cls(obj)
else:
raise TypeError("%r is not an instance of %s" % (obj, cls.__name__,))
return obj._pb
def wrap(cls, pb):
"""Return a Message object that shallowly wraps the descriptor.
Args:
pb: A protocol buffer object, such as would be returned by
:meth:`pb`.
"""
# Optimized fast path.
instance = cls.__new__(cls)
instance.__dict__["_pb"] = pb
return instance
def serialize(cls, instance) -> bytes:
"""Return the serialized proto.
Args:
instance: An instance of this message type, or something
compatible (accepted by the type's constructor).
Returns:
bytes: The serialized representation of the protocol buffer.
"""
return cls.pb(instance, coerce=True).SerializeToString()
def deserialize(cls, payload: bytes) -> "Message":
"""Given a serialized proto, deserialize it into a Message instance.
Args:
payload (bytes): The serialized proto.
Returns:
~.Message: An instance of the message class against which this
method was called.
"""
return cls.wrap(cls.pb().FromString(payload))
def to_json(
cls,
instance,
*,
use_integers_for_enums=True,
including_default_value_fields=True
) -> str:
"""Given a message instance, serialize it to json
Args:
instance: An instance of this message type, or something
compatible (accepted by the type's constructor).
use_integers_for_enums (Optional(bool)): An option that determines whether enum
values should be represented by strings (False) or integers (True).
Default is True.
Returns:
str: The json string representation of the protocol buffer.
"""
return MessageToJson(
cls.pb(instance),
use_integers_for_enums=use_integers_for_enums,
including_default_value_fields=including_default_value_fields,
)
def from_json(cls, payload, *, ignore_unknown_fields=False) -> "Message":
"""Given a json string representing an instance,
parse it into a message.
Args:
paylod: A json string representing a message.
ignore_unknown_fields (Optional(bool)): If True, do not raise errors
for unknown fields.
Returns:
~.Message: An instance of the message class against which this
method was called.
"""
instance = cls()
Parse(payload, instance._pb, ignore_unknown_fields=ignore_unknown_fields)
return instance
def to_dict(cls, instance, *, use_integers_for_enums=True) -> "Message":
"""Given a message instance, return its representation as a python dict.
Args:
instance: An instance of this message type, or something
compatible (accepted by the type's constructor).
use_integers_for_enums (Optional(bool)): An option that determines whether enum
values should be represented by strings (False) or integers (True).
Default is True.
Returns:
dict: A representation of the protocol buffer using pythonic data structures.
Messages and map fields are represented as dicts,
repeated fields are represented as lists.
"""
return MessageToDict(
cls.pb(instance),
including_default_value_fields=True,
preserving_proto_field_name=True,
use_integers_for_enums=use_integers_for_enums,
)
class Message(metaclass=MessageMeta):
"""The abstract base class for a message.
Args:
mapping (Union[dict, ~.Message]): A dictionary or message to be
used to determine the values for this message.
ignore_unknown_fields (Optional(bool)): If True, do not raise errors for
unknown fields. Only applied if `mapping` is a mapping type or there
are keyword parameters.
kwargs (dict): Keys and values corresponding to the fields of the
message.
"""
def __init__(self, mapping=None, *, ignore_unknown_fields=False, **kwargs):
# We accept several things for `mapping`:
# * An instance of this class.
# * An instance of the underlying protobuf descriptor class.
# * A dict
# * Nothing (keyword arguments only).
if mapping is None:
if not kwargs:
# Special fast path for empty construction.
self.__dict__["_pb"] = self._meta.pb()
return
mapping = kwargs
elif isinstance(mapping, self._meta.pb):
# Make a copy of the mapping.
# This is a constructor for a new object, so users will assume
# that it will not have side effects on the arguments being
# passed in.
#
# The `wrap` method on the metaclass is the public API for taking
# ownership of the passed in protobuf objet.
mapping = copy.copy(mapping)
if kwargs:
mapping.MergeFrom(self._meta.pb(**kwargs))
self.__dict__["_pb"] = mapping
return
elif isinstance(mapping, type(self)):
# Just use the above logic on mapping's underlying pb.
self.__init__(mapping=mapping._pb, **kwargs)
return
elif isinstance(mapping, collections.abc.Mapping):
# Can't have side effects on mapping.
mapping = copy.copy(mapping)
# kwargs entries take priority for duplicate keys.
mapping.update(kwargs)
else:
# Sanity check: Did we get something not a map? Error if so.
raise TypeError(
"Invalid constructor input for %s: %r"
% (self.__class__.__name__, mapping,)
)
params = {}
# Update the mapping to address any values that need to be
# coerced.
marshal = self._meta.marshal
for key, value in mapping.items():
try:
pb_type = self._meta.fields[key].pb_type
except KeyError:
if ignore_unknown_fields:
continue
raise ValueError(
"Unknown field for {}: {}".format(self.__class__.__name__, key)
)
pb_value = marshal.to_proto(pb_type, value)
if pb_value is not None:
params[key] = pb_value
# Create the internal protocol buffer.
self.__dict__["_pb"] = self._meta.pb(**params)
def __bool__(self):
"""Return True if any field is truthy, False otherwise."""
return any(k in self and getattr(self, k) for k in self._meta.fields.keys())
def __contains__(self, key):
"""Return True if this field was set to something non-zero on the wire.
In most cases, this method will return True when ``__getattr__``
would return a truthy value and False when it would return a falsy
value, so explicitly calling this is not useful.
The exception case is empty messages explicitly set on the wire,
which are falsy from ``__getattr__``. This method allows to
distinguish between an explicitly provided empty message and the
absence of that message, which is useful in some edge cases.
The most common edge case is the use of ``google.protobuf.BoolValue``
to get a boolean that distinguishes between ``False`` and ``None``
(or the same for a string, int, etc.). This library transparently
handles that case for you, but this method remains available to
accomodate cases not automatically covered.
Args:
key (str): The name of the field.
Returns:
bool: Whether the field's value corresponds to a non-empty
wire serialization.
"""
pb_value = getattr(self._pb, key)
try:
# Protocol buffers "HasField" is unfriendly; it only works
# against composite, non-repeated fields, and raises ValueError
# against any repeated field or primitive.
#
# There is no good way to test whether it is valid to provide
# a field to this method, so sadly we are stuck with a
# somewhat inefficient try/except.
return self._pb.HasField(key)
except ValueError:
return bool(pb_value)
def __delattr__(self, key):
"""Delete the value on the given field.
This is generally equivalent to setting a falsy value.
"""
self._pb.ClearField(key)
def __eq__(self, other):
"""Return True if the messages are equal, False otherwise."""
# If these are the same type, use internal protobuf's equality check.
if isinstance(other, type(self)):
return self._pb == other._pb
# If the other type is the target protobuf object, honor that also.
if isinstance(other, self._meta.pb):
return self._pb == other
# Ask the other object.
return NotImplemented
def __getattr__(self, key):
"""Retrieve the given field's value.
In protocol buffers, the presence of a field on a message is
sufficient for it to always be "present".
For primitives, a value of the correct type will always be returned
(the "falsy" values in protocol buffers consistently match those
in Python). For repeated fields, the falsy value is always an empty
sequence.
For messages, protocol buffers does distinguish between an empty
message and absence, but this distinction is subtle and rarely
relevant. Therefore, this method always returns an empty message
(following the official implementation). To check for message
presence, use ``key in self`` (in other words, ``__contains__``).
.. note::
Some well-known protocol buffer types
(e.g. ``google.protobuf.Timestamp``) will be converted to
their Python equivalents. See the ``marshal`` module for
more details.
"""
try:
pb_type = self._meta.fields[key].pb_type
pb_value = getattr(self._pb, key)
marshal = self._meta.marshal
return marshal.to_python(pb_type, pb_value, absent=key not in self)
except KeyError as ex:
raise AttributeError(str(ex))
def __ne__(self, other):
"""Return True if the messages are unequal, False otherwise."""
return not self == other
def __repr__(self):
return repr(self._pb)
def __setattr__(self, key, value):
"""Set the value on the given field.
For well-known protocol buffer types which are marshalled, either
the protocol buffer object or the Python equivalent is accepted.
"""
if key[0] == "_":
return super().__setattr__(key, value)
marshal = self._meta.marshal
pb_type = self._meta.fields[key].pb_type
pb_value = marshal.to_proto(pb_type, value)
# Clear the existing field.
# This is the only way to successfully write nested falsy values,
# because otherwise MergeFrom will no-op on them.
self._pb.ClearField(key)
# Merge in the value being set.
if pb_value is not None:
self._pb.MergeFrom(self._meta.pb(**{key: pb_value}))
class _MessageInfo:
"""Metadata about a message.
Args:
fields (Tuple[~.fields.Field]): The fields declared on the message.
package (str): The proto package.
full_name (str): The full name of the message.
file_info (~._FileInfo): The file descriptor and messages for the
file containing this message.
marshal (~.Marshal): The marshal instance to which this message was
automatically registered.
options (~.descriptor_pb2.MessageOptions): Any options that were
set on the message.
"""
def __init__(
self,
*,
fields: List[Field],
package: str,
full_name: str,
marshal: Marshal,
options: descriptor_pb2.MessageOptions
) -> None:
self.package = package
self.full_name = full_name
self.options = options
self.fields = collections.OrderedDict((i.name, i) for i in fields)
self.fields_by_number = collections.OrderedDict((i.number, i) for i in fields)
self.marshal = marshal
self._pb = None
@property
def pb(self) -> Type[message.Message]:
"""Return the protobuf message type for this descriptor.
If a field on the message references another message which has not
loaded, then this method returns None.
"""
return self._pb
__all__ = ("Message",)
