Esempio n. 1
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def fetchProtoJSON(the_path):
    with open(the_path, 'rb') as f:
        raw_proto = FileDescriptorSet()
        raw_proto.ParseFromString(f.read())
        f.close()

    return MessageToJson(raw_proto)
Esempio n. 2
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    def _write_header(self, fdescr):
        self._fobj.write(MAGIC)

        # Write protocol buffer version in header
        self._write_blob(T_PROTOBUF_VERSION, len(google.protobuf.__version__),
                         google.protobuf.__version__.encode("utf8"))

        if type(fdescr) == PBZReader:
            self._write_blob(T_FILE_DESCRIPTOR, len(fdescr._raw_descriptor),
                             (fdescr._raw_descriptor))
            self._dpool = fdescr._dpool

        else:
            # Read FileDescriptorSet
            with open(fdescr, "rb") as fi:
                fdset = fi.read()
                sz = fi.tell()

            # Write FileDescriptorSet
            self._write_blob(T_FILE_DESCRIPTOR, sz, fdset)

            # Parse descriptor for checking that the messages will be defined in
            # the serialized file
            self._dpool = descriptor_pool.DescriptorPool()
            ds = FileDescriptorSet()
            ds.ParseFromString(fdset)
            for df in ds.file:
                self._dpool.Add(df)
Esempio n. 3
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def main(args=None):
    """Run CLI."""
    import argparse

    from . import LogReader

    parser = argparse.ArgumentParser(
        description="Extract google.protobuf source tree.")
    parser.add_argument('-o',
                        '--destination',
                        required=True,
                        help='Destination directory')
    parser.add_argument('-l', '--log', help='Log file')
    parser.add_argument('-f',
                        '--descriptor_set',
                        help='File with FileDescriptorSet')
    args = parser.parse_args(args=args)

    if args.log:
        with LogReader(args.log) as log_reader:
            proto = log_reader.header.proto
    elif args.descriptor_set:
        proto = FileDescriptorSet()
        with open(args.descriptor_set) as f:
            proto.ParseFromString(f.read())
    else:
        raise ValueError('You should specify one of: LOG, DESCRIPTOR_SET')

    extract_source_tree(args.destination, proto)
    def discover(self, request, context):
        logger.info("discovering.")
        pprint(request)
        descriptor_set = FileDescriptorSet()
        for entity in self.event_sourced_entities + self.action_protocol_entities:
            logger.info(f"entity: {entity.name()}")
            for descriptor in entity.file_descriptors:
                logger.info(f"discovering {descriptor.name}")
                logger.info(f"SD: {entity.service_descriptor.full_name}")
                from_string = FileDescriptorProto.FromString(
                    descriptor.serialized_pb)
                descriptor_set.file.append(from_string)

        descriptor_set.file.append(
            FileDescriptorProto.FromString(Default().FindFileByName(
                "google/protobuf/empty.proto").serialized_pb))
        descriptor_set.file.append(
            FileDescriptorProto.FromString(Default().FindFileByName(
                "cloudstate/entity_key.proto").serialized_pb))
        descriptor_set.file.append(
            FileDescriptorProto.FromString(Default().FindFileByName(
                "cloudstate/eventing.proto").serialized_pb))
        descriptor_set.file.append(
            FileDescriptorProto.FromString(Default().FindFileByName(
                "google/protobuf/descriptor.proto").serialized_pb))
        descriptor_set.file.append(
            FileDescriptorProto.FromString(Default().FindFileByName(
                "google/api/annotations.proto").serialized_pb))
        descriptor_set.file.append(
            FileDescriptorProto.FromString(Default().FindFileByName(
                "google/api/http.proto").serialized_pb))
        descriptor_set.file.append(
            FileDescriptorProto.FromString(Default().FindFileByName(
                "google/api/httpbody.proto").serialized_pb))
        descriptor_set.file.append(
            FileDescriptorProto.FromString(Default().FindFileByName(
                "google/protobuf/any.proto").serialized_pb))
        spec = entity_pb2.EntitySpec(
            service_info=entity_pb2.ServiceInfo(
                service_name="",
                service_version="0.1.0",
                service_runtime="Python " + platform.python_version() + " [" +
                platform.python_implementation() + " " +
                platform.python_compiler() + "]",
                support_library_name="cloudstate-python-support",
                support_library_version="0.1.0",
            ),
            entities=[
                entity_pb2.Entity(
                    entity_type=entity.entity_type(),
                    service_name=entity.service_descriptor.full_name,
                    persistence_id=entity.persistence_id,
                ) for entity in self.event_sourced_entities +
                self.action_protocol_entities
            ],
            proto=descriptor_set.SerializeToString(),
        )
        return spec
Esempio n. 5
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def load_descriptor_set(protoc_bin, proto_path):
    with tempfile.TemporaryDirectory("lorris_temp_proto") as tmpdir:
        descr_path = os.path.join(tmpdir, "proto.descr")
        subprocess.check_call(
            [protoc_bin, "--descriptor_set_out=" + descr_path, proto_path])

        with open(descr_path, "rb") as f:
            s = FileDescriptorSet()
            s.ParseFromString(f.read())
            return s
 def __init__(self, path):
     self._log_reader = _LogReader(path)
     # header
     header_ = self._log_reader.header
     fd_set = FileDescriptorSet()
     fd_set.ParseFromString(header_.proto)
     self._header = Header(proto=fd_set, types=header_.types)
     # descriptors
     self._pool = DescriptorPool()
     for proto in self._header.proto.file:
         self._pool.Add(proto)
     self._factory = MessageFactory()
Esempio n. 7
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def get_compiled_proto():
    # Compile trezor.proto to binary format
    pdir = os.path.abspath(TREZOR_PROTO_DIR)
    pfile = os.path.join(pdir, "messages.proto")
    cmd = "protoc --include_imports -I" + PROTOBUF_PROTO_DIR + " -I" + pdir + " " + pfile + " -otrezor.bin"

    subprocess.check_call(cmd.split())

    # Load compiled protocol description to string
    proto = open('trezor.bin', 'r').read()
    os.unlink('trezor.bin')

    # Parse it into FileDescriptorSet structure
    compiled = FileDescriptorSet()
    compiled.ParseFromString(proto)
    return compiled
Esempio n. 8
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def load_descriptor_set(
    proto_file: str, proto_path: Optional[List[str]] = None
) -> FileDescriptorSet:
    wkt_protos = pkg_resources.resource_filename("grpc_tools", "_proto")
    validate_protos = str(
        Path(
            pkg_resources.resource_filename("validate", "validate.proto")
        ).parent.parent
    )
    harness_protos = str(Path(__file__).parent.parent.parent.absolute())
    with tempfile.NamedTemporaryFile() as f:
        args = [
            "grpc_tools.protoc",
            "--include_imports",
            f"--proto_path={wkt_protos}",
            f"--proto_path={validate_protos}",
            f"--proto_path={harness_protos}",
            f"--proto_path={Path(proto_file).parent}",
            f"--descriptor_set_out={f.name}",
        ]
        if proto_path:
            args.extend(f"--proto_path={p}" for p in proto_path)
        args.append(proto_file)
        result = protoc.main(args)
        if result != 0:
            raise Exception("Failed to call protoc")
        content = f.read()
    return FileDescriptorSet.FromString(content)
Esempio n. 9
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  def register_descriptor_data(self, type_url, descriptor_data):
    if type_url not in self._type_url_to_descriptor_data:
      is_binary = (
        isinstance(descriptor_data, six.string_types) or
        isinstance(descriptor_data, six.binary_type) or
        isinstance(descriptor_data, bytearray))
      if is_binary:
        from google.protobuf.descriptor_pb2 import FileDescriptorSet
        fds = FileDescriptorSet()
        fds.ParseFromString(descriptor_data)
        descriptor_data = fds
      
      self._type_url_to_descriptor_data[type_url] = descriptor_data

      if self._dynamic_factory is None:
        self._dynamic_factory = DynamicMessageFactory()
      self._dynamic_factory.register_type(type_url, descriptor_data)
 def discover(self, request, context):
     pprint(request)
     descriptor_set = FileDescriptorSet()
     for entity in self.event_sourced_entities:
         for descriptor in entity.file_descriptors:
             descriptor_set.file.append(FileDescriptorProto.FromString(descriptor.serialized_pb))
     descriptor_set.file.append(
         FileDescriptorProto.FromString(Default().FindFileByName('google/protobuf/empty.proto').serialized_pb)
     )
     descriptor_set.file.append(
         FileDescriptorProto.FromString(Default().FindFileByName('cloudstate/entity_key.proto').serialized_pb)
     )
     descriptor_set.file.append(
         FileDescriptorProto.FromString(Default().FindFileByName('google/protobuf/descriptor.proto').serialized_pb)
     )
     descriptor_set.file.append(
         FileDescriptorProto.FromString(Default().FindFileByName('google/api/annotations.proto').serialized_pb)
     )
     descriptor_set.file.append(
         FileDescriptorProto.FromString(Default().FindFileByName('google/api/http.proto').serialized_pb)
     )
     spec = entity_pb2.EntitySpec(
         service_info=entity_pb2.ServiceInfo(
             service_version='0.1.0',
             service_runtime='Python ' + platform.python_version() + ' [' + platform.python_implementation() + ' ' +
                             platform.python_compiler() + ']',
             support_library_name='cloudstate-python-support',
             support_library_version='0.1.0'
         ),
         entities=[
             entity_pb2.Entity(
                 entity_type=entity.entity_type(),
                 service_name=entity.service_descriptor.full_name,
                 persistence_id=entity.persistence_id,
             )
             for entity in self.event_sourced_entities],
         proto=descriptor_set.SerializeToString()
     )
     return spec
Esempio n. 11
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    def read_descriptor_pool(self):
        dpool = descriptor_pool.DescriptorPool()
        while True:
            vtype, data = self._read_next_obj()
            if vtype is None:
                raise Exception("Unexpected end of file")

            if vtype == T_FILE_DESCRIPTOR:
                ds = FileDescriptorSet()
                ds.ParseFromString(data)
                for df in ds.file:
                    dpool.Add(df)
                return dpool, data

            elif vtype == T_PROTOBUF_VERSION:
                pbversion = data.decode("utf8")
                if google.protobuf.__version__.split(".") < pbversion.split(
                        "."):
                    warnings.warn(
                        f"File uses more recent of protobuf ({pbversion})")

            else:
                raise Exception(f"Unknown message type {vtype}")
Esempio n. 12
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    def parse(self, descfilename, allmeta):
        """解析传入的desc文件,转换成ProtoMeta信息
        Args:
            desc_file_path: protoc --descriptor_set_out --include_source_info
                编译生成的proto描述文件
        Returns:
            A dict mapping message name and ProtoMeta
        """
        with open(descfilename, "rb") as f:
            desc = FileDescriptorSet.FromString(f.read())
            for onefile in desc.file:
                allmeta.add(self.parse_file(onefile))

        # for proto_message_meta in proto_meta_mgr.metas:
        #     if proto_message_meta.name in self._reference_message_name:
        #         proto_message_meta.is_reference_message = True

        return allmeta
Esempio n. 13
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def build_fds_for_msg(msg):
  """
  Given a Protobuf message `msg` (or message class), build a
  `FileDescriptorSet` that can be used with `DynamicMessageFactory` below (or
  `protobag::DynamicMsgFactory` in C++) to dynamically deserialize instances
  of `msg` at runtime (when the Protobuf-generated code for `msg` is 
  unavailable).

  See also `protobag::DynamicMsgFactory` in C++.

  We run a BFS of `msg`'s descriptor and its dependencies to collect all
  data necessary to decode a `msg` instance.  (NB: the current search is today
  over-complete and pulls in unrelated types, too).  The algorithm below
  mirrors that in `protobag::BagIndexBuilder::Observe()`.  We must run this
  collection in python (and not C++) because we assume we only have the
  Protobuf python-generated code available for `msg` in this code path.

  Args:
      msg (Protobuf message or class): Build a `FileDescriptorSet` based upon
        the `DESCRIPTOR` of this message.
    
  Returns:
  A `FileDescriptorSet` protobuf message instance.
  """

  from google.protobuf.descriptor_pb2 import FileDescriptorProto
  from google.protobuf.descriptor_pb2 import FileDescriptorSet

  q = [msg.DESCRIPTOR.file]
  visited = set()
  files = []
  while q:
    current = q.pop()
    if current.name not in visited:
      # Visit!
      visited.add(current.name)
      
      fd = FileDescriptorProto()
      current.CopyToProto(fd)
      files.append(fd)

      q.extend(current.dependencies)
  
  return FileDescriptorSet(file=files)
Esempio n. 14
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def load_proto_msgs(proto_path, ret_source_info=False):
    # List imports that we need to specify to protoc for the necessary *_pb2.py to be generated

    proto_dir = Path(proto_path).parent
    arg_proto_path = proto_dir
    arg_proto_files = []
    to_import = [str(proto_path)]

    while to_import:
        next_import = to_import.pop()
        while not exists(arg_proto_path / next_import) and \
              str(arg_proto_path.parent).startswith(str(BASE_PATH)):
            arg_proto_path = arg_proto_path.parent
        next_import = str(arg_proto_path / next_import)

        if next_import not in arg_proto_files:
            arg_proto_files.insert(0, next_import)
            with open(next_import) as fd:
                for prior_import in reversed(
                        findall('import(?:\s*weak|public)?\s*"(.+?)"\s*;',
                                fd.read())):
                    to_import.append(prior_import)

    # Execute protoc and import the actual module from a tmp

    with TemporaryDirectory() as arg_python_out:
        args = [
            'protoc',
            '--proto_path=%s' % arg_proto_path,
            '--python_out=' + arg_python_out, *arg_proto_files
        ]
        if ret_source_info:
            args += [
                '-o%s' % (Path(arg_python_out) / 'desc_info'),
                '--include_source_info', '--include_imports'
            ]

        cmd = run(args, stderr=PIPE, encoding='utf8')
        if cmd.returncode:
            raise ValueError(cmd.stderr)

        if ret_source_info:
            with open(Path(arg_python_out) / 'desc_info', 'rb') as fd:
                yield FileDescriptorSet.FromString(fd.read()), arg_proto_path
                return

        # Do actual import

        module_name = str(proto_dir).replace(str(arg_proto_path),
                                             '').strip('/\\').replace(
                                                 '/', '.')
        if module_name:
            module_name += '.'
        module_name += Path(proto_path).stem.replace('-', '_') + '_pb2'

        PATH.append(arg_python_out)
        module = import_module(module_name)
        PATH.remove(arg_python_out)

    # Recursively iterate over class members to list Protobuf messages

    yield from iterate_proto_msg(module, '')
  def _createDescriptorProto(self):
    proto = FileDescriptorSet()

    file_proto = proto.file.add(
        name='types.proto', package='tensorflow', syntax='proto3')
    enum_proto = file_proto.enum_type.add(name='DataType')
    enum_proto.value.add(name='DT_DOUBLE', number=0)
    enum_proto.value.add(name='DT_BOOL', number=1)

    file_proto = proto.file.add(
        name='test_example.proto',
        package='tensorflow.contrib.proto',
        dependency=['types.proto'])
    message_proto = file_proto.message_type.add(name='TestCase')
    message_proto.field.add(
        name='values',
        number=1,
        type=FieldDescriptorProto.TYPE_MESSAGE,
        type_name='.tensorflow.contrib.proto.TestValue',
        label=FieldDescriptorProto.LABEL_REPEATED)
    message_proto.field.add(
        name='shapes',
        number=2,
        type=FieldDescriptorProto.TYPE_INT32,
        label=FieldDescriptorProto.LABEL_REPEATED)
    message_proto.field.add(
        name='sizes',
        number=3,
        type=FieldDescriptorProto.TYPE_INT32,
        label=FieldDescriptorProto.LABEL_REPEATED)
    message_proto.field.add(
        name='fields',
        number=4,
        type=FieldDescriptorProto.TYPE_MESSAGE,
        type_name='.tensorflow.contrib.proto.FieldSpec',
        label=FieldDescriptorProto.LABEL_REPEATED)

    message_proto = file_proto.message_type.add(
        name='TestValue')
    message_proto.field.add(
        name='double_value',
        number=1,
        type=FieldDescriptorProto.TYPE_DOUBLE,
        label=FieldDescriptorProto.LABEL_REPEATED)
    message_proto.field.add(
        name='bool_value',
        number=2,
        type=FieldDescriptorProto.TYPE_BOOL,
        label=FieldDescriptorProto.LABEL_REPEATED)

    message_proto = file_proto.message_type.add(
        name='FieldSpec')
    message_proto.field.add(
        name='name',
        number=1,
        type=FieldDescriptorProto.TYPE_STRING,
        label=FieldDescriptorProto.LABEL_OPTIONAL)
    message_proto.field.add(
        name='dtype',
        number=2,
        type=FieldDescriptorProto.TYPE_ENUM,
        type_name='.tensorflow.DataType',
        label=FieldDescriptorProto.LABEL_OPTIONAL)
    message_proto.field.add(
        name='value',
        number=3,
        type=FieldDescriptorProto.TYPE_MESSAGE,
        type_name='.tensorflow.contrib.proto.TestValue',
        label=FieldDescriptorProto.LABEL_OPTIONAL)

    return proto
Esempio n. 16
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    def _createDescriptorFile(self):
        set_proto = FileDescriptorSet()

        file_proto = set_proto.file.add(name='types.proto',
                                        package='tensorflow',
                                        syntax='proto3')
        enum_proto = file_proto.enum_type.add(name='DataType')
        enum_proto.value.add(name='DT_DOUBLE', number=0)
        enum_proto.value.add(name='DT_BOOL', number=1)

        file_proto = set_proto.file.add(name='test_example.proto',
                                        package='tensorflow.contrib.proto',
                                        dependency=['types.proto'])
        message_proto = file_proto.message_type.add(name='TestCase')
        message_proto.field.add(
            name='values',
            number=1,
            type=FieldDescriptorProto.TYPE_MESSAGE,
            type_name='.tensorflow.contrib.proto.TestValue',
            label=FieldDescriptorProto.LABEL_REPEATED)
        message_proto.field.add(name='shapes',
                                number=2,
                                type=FieldDescriptorProto.TYPE_INT32,
                                label=FieldDescriptorProto.LABEL_REPEATED)
        message_proto.field.add(name='sizes',
                                number=3,
                                type=FieldDescriptorProto.TYPE_INT32,
                                label=FieldDescriptorProto.LABEL_REPEATED)
        message_proto.field.add(
            name='fields',
            number=4,
            type=FieldDescriptorProto.TYPE_MESSAGE,
            type_name='.tensorflow.contrib.proto.FieldSpec',
            label=FieldDescriptorProto.LABEL_REPEATED)

        message_proto = file_proto.message_type.add(name='TestValue')
        message_proto.field.add(name='double_value',
                                number=1,
                                type=FieldDescriptorProto.TYPE_DOUBLE,
                                label=FieldDescriptorProto.LABEL_REPEATED)
        message_proto.field.add(name='bool_value',
                                number=2,
                                type=FieldDescriptorProto.TYPE_BOOL,
                                label=FieldDescriptorProto.LABEL_REPEATED)

        message_proto = file_proto.message_type.add(name='FieldSpec')
        message_proto.field.add(name='name',
                                number=1,
                                type=FieldDescriptorProto.TYPE_STRING,
                                label=FieldDescriptorProto.LABEL_OPTIONAL)
        message_proto.field.add(name='dtype',
                                number=2,
                                type=FieldDescriptorProto.TYPE_ENUM,
                                type_name='.tensorflow.DataType',
                                label=FieldDescriptorProto.LABEL_OPTIONAL)
        message_proto.field.add(
            name='value',
            number=3,
            type=FieldDescriptorProto.TYPE_MESSAGE,
            type_name='.tensorflow.contrib.proto.TestValue',
            label=FieldDescriptorProto.LABEL_OPTIONAL)

        fn = os.path.join(self.get_temp_dir(), 'descriptor.pb')
        with open(fn, 'wb') as f:
            f.write(set_proto.SerializeToString())
        return fn
Esempio n. 17
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File: rpc.py Progetto: wtnb75/lotrpc
def read_desc(src):
    with open(src, "rb") as f:
        return FileDescriptorSet.FromString(f.read())
Esempio n. 18
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#!/usr/bin/env python3
import sys
import generator.File
from google.protobuf.descriptor_pb2 import FileDescriptorSet

base_file = sys.argv[1]

with open("{}.pb".format(base_file), "rb") as f:
    # Load the descriptor protobuf file
    d = FileDescriptorSet()
    d.ParseFromString(f.read())

    # Check that there is only one file
    assert len(d.file) == 1

    # Load the file
    b = generator.File.File(d.file[0], base_file)

    # Generate the c++ file
    header, impl, python = b.generate_cpp()

    with open("{}.h".format(base_file), "w") as f:
        f.write(header)

    with open("{}.cpp".format(base_file), "w") as f:
        f.write(impl)

    with open("{}.py.cpp".format(base_file), "w") as f:
        f.write(python)