is there a protocol buffers for python wrapper that would allow object annotation in python code not it proto files?

wget https: //github.com/protocolbuffers/protobuf/releases/download/v3.12.4/protobuf-all-3.12.4.tar.gz

tar - xzf protobuf - all - 3.12 .4.tar.gz

cd protobuf - 3.12 .4 / && . / configure && make && sudo make install

syntax = "proto3";

import "generated/person_info.proto";

package persons;

message Person {
   PersonInfo info = 1; // characteristics of the person
   repeated Friend friends = 2; // friends of the person
}

message Friend {
   float friendship_duration = 1; // duration of friendship in days
   repeated string shared_hobbies = 2; // shared interests
   Person person = 3; // identity of the friend
}

syntax = "proto3";

package persons;

enum Sex {
   M = 0; // male 
   F = 1; // female
   O = 2; // other
}

message PersonInfo {
   int32 age = 1; // age in years
   Sex sex = 2;
   int32 height = 3; // height in cm
}

syntax = "proto3";

import "generated/person_info.proto";

package persons;

message Person {
   PersonInfo info = 1; // characteristics of the person
   repeated Friend friends = 2; // friends of the person
}

message Friend {
   float friendship_duration = 1; // duration of friendship in days
   repeated string shared_hobbies = 2; // shared interests
   Person person = 3; // identity of the friend
}

syntax = "proto3";

package persons;

enum Sex {
   M = 0; // male 
   F = 1; // female
   O = 2; // other
}

message PersonInfo {
   int32 age = 1; // age in years
   Sex sex = 2;
   int32 height = 3; // height in cm
}

mkdir src / generated
protoc src / interfaces / person_info.proto--python_out src / --proto_path generated = . / src / interfaces /
   protoc src / interfaces / person.proto--python_out src / --proto_path generated = . / src / interfaces /

_PERSON = _descriptor.Descriptor(
      name = 'Person',
      full_name = 'persons.Person',
      filename = None,
      file = DESCRIPTOR,
      containing_type = None,
      create_key = _descriptor._internal_create_key,
      fields = [
         ...

# fill protobuf objects
import generated.person_pb2 as person_pb2
import generated.person_info_pb2 as person_info_pb2
# # # # # # # # # # # #
# define friend
for person of interest
# # # # # # # # # # # # #
friend_info = person_info_pb2.PersonInfo()
friend_info.age = 40
friend_info.sex = person_info_pb2.Sex.M
friend_info.height = 165
friend_person = person_pb2.Person()
friend_person.info.CopyFrom(friend_info)
friend_person.friends.extend([]) # no friends: -(
      # # # # # # # # define friendship characteristics # # # # # # # # friendship = person_pb2.Friend() friendship.friendship_duration = 365.1 friendship.shared_hobbies.extend(["books", "daydreaming", "unicorns"]) friendship.person.CopyFrom(friend_person) # # # # # # # # assign the friend to the friend of interest # # # # # # # # # person_info = person_info_pb2.PersonInfo() person_info.age = 30 person_info.sex = person_info_pb2.Sex.M person_info.height = 184 person = person_pb2.Person() person.info.CopyFrom(person_info) person.friends.extend([friendship]) # person with a single friend

message Metric {
   required string name = 1;
   required string type = 2;
   required float value = 3;
   repeated string tags = 4;
}

import metric_pb2

my_metric = metric_pb2.Metric()
my_metric.name = 'sys.cpu'
my_metric.type = 'gauge'
my_metric.value = 99.9
my_metric.tags.extend([‘my_tag’, ‘foo: bar’])

with open('out.bin', 'wb') as f:
   f.write(my_metric.SerializeToString())

with open('out.bin', 'rb') as f:
   read_metric = metric_pb2.Metric()
read_metric.ParseFromString(f.read())
# do something with read_metric

from google.protobuf.internal.encoder
import _VarintBytes
from google.protobuf.internal.decoder
import _DecodeVarint32

with open('out.bin', 'wb') as f:
   my_tags = (“my_tag”, “foo: bar”)
for i in range(128):
   my_metric = metric_pb2.Metric()
my_metric.name = 'sys.cpu'
my_metric.type = 'gauge'
my_metric.value = round(random(), 2)
my_metric.tags.extend(my_tags)
size = my_metric.ByteSize()
f.write(_VarintBytes(size))
f.write(my_metric.SerializeToString())

with open('out.bin', 'rb') as f:
   buf = f.read()
n = 0
while n < len(buf):
   msg_len, new_pos = _DecodeVarint32(buf, n)
n = new_pos
msg_buf = buf[n: n + msg_len]
n += msg_len
read_metric = metric_pb2.Metric()
read_metric.ParseFromString(msg_buf)
# do something with read_metric

student_id: 101
student_name: "Megha"
student {
   total_marks: 500
   marks_obtain: 425
}

student_id: 102
student_name: "Peter"
student {
   result: FAIL
   total_marks: 500
   marks_obtain: 136
}

{
   student_id: 101
   student_name: "Megha" {
      student {
         total_marks: 500
         marks_obtain: 425
      }
   }
}

student_id: 101
student_name: "Mathew"
student {
   total_marks: 500
   marks_obtain: 136
}

buildscript {
   repositories {
      gradlePluginPortal()
   }
   dependencies {
      classpath 'com.google.protobuf:protobuf-gradle-plugin:0.8.19'
   }
}

buildscript {
   repositories {
      mavenLocal()
   }
   dependencies {
      classpath 'com.google.protobuf:protobuf-gradle-plugin:0.9.0-SNAPSHOT'
   }
}

apply plugin: 'java'
apply plugin: 'com.google.protobuf'

apply plugin: 'com.android.application' // or 'com.android.library'
apply plugin: 'com.google.protobuf'

plugins {
   id "com.google.protobuf"
   version "0.8.19"
   id "java"
}

sourceSets {
   main {
      proto {
         // In addition to the default 'src/main/proto'
         srcDir 'src/main/protobuf'
         srcDir 'src/main/protocolbuffers'
         // In addition to the default '**/*.proto' (use with caution).
         // Using an extension other than 'proto' is NOT recommended,
         // because when proto files are published along with class files, we can
         // only tell the type of a file from its extension.
         include '**/*.protodevel'
      }
      java {
         ...
      }
   }
   test {
      proto {
         // In addition to the default 'src/test/proto'
         srcDir 'src/test/protocolbuffers'
      }
   }
}