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# Copyright 2020-present Open Networking Foundation
# Original copyright 2020-present ADTRAN, Inc.
#
# 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
#
# http://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
# This is free and unencumbered software released into the public domain
# by its author, Ben Hodgson <ben@benhodgson.com>.
#
# Anyone is free to copy, modify, publish, use, compile, sell, or
# distribute this software, either in source code form or as a compiled
# binary, for any purpose, commercial or non-commercial, and by any
# means.
#
# In jurisdictions that recognise copyright laws, the author or authors
# of this software dedicate any and all copyright interest in the
# software to the public domain. We make this dedication for the benefit
# of the public at large and to the detriment of our heirs and
# successors. We intend this dedication to be an overt act of
# relinquishment in perpetuity of all present and future rights to this
# software under copyright law.
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# OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,
# ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
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# For more information, please refer to <http://unlicense.org/>
# -*- coding:utf-8 -*-
# copied from https://github.com/kaporzhu/protobuf-to-dict
# all credits to this script go to Kapor Zhu (kapor.zhu@gmail.com)
#
# Comments:
# - need a fix for bug: "Use enum_label when setting the default value if use_enum_labels is true" (line 95)
# - try to convert timestaps to a human readable format
import base64
import six
from datetime import datetime
from google.protobuf.message import Message
from google.protobuf.descriptor import FieldDescriptor
__all__ = ["protobuf_to_dict", "TYPE_CALLABLE_MAP", "dict_to_protobuf",
"REVERSE_TYPE_CALLABLE_MAP"]
EXTENSION_CONTAINER = '___X'
TYPE_CALLABLE_MAP = {
FieldDescriptor.TYPE_DOUBLE: float,
FieldDescriptor.TYPE_FLOAT: float,
FieldDescriptor.TYPE_INT32: int,
FieldDescriptor.TYPE_INT64: int if six.PY3 else six.integer_types[1],
FieldDescriptor.TYPE_UINT32: int,
FieldDescriptor.TYPE_UINT64: int if six.PY3 else six.integer_types[1],
FieldDescriptor.TYPE_SINT32: int,
FieldDescriptor.TYPE_SINT64: int if six.PY3 else six.integer_types[1],
FieldDescriptor.TYPE_FIXED32: int,
FieldDescriptor.TYPE_FIXED64: int if six.PY3 else six.integer_types[1],
FieldDescriptor.TYPE_SFIXED32: int,
FieldDescriptor.TYPE_SFIXED64: int if six.PY3 else six.integer_types[1],
FieldDescriptor.TYPE_BOOL: bool,
FieldDescriptor.TYPE_STRING: six.text_type,
FieldDescriptor.TYPE_BYTES: six.binary_type,
FieldDescriptor.TYPE_ENUM: int,
}
def repeated(type_callable):
return lambda value_list: [type_callable(value) for value in value_list]
def enum_label_name(field, value):
return field.enum_type.values_by_number[int(value)].name
def _is_map_entry(field):
return (field.type == FieldDescriptor.TYPE_MESSAGE and
field.message_type.has_options and
field.message_type.GetOptions().map_entry)
def protobuf_to_dict(pb, type_callable_map=TYPE_CALLABLE_MAP,
use_enum_labels=False,
including_default_value_fields=False,
human_readable_timestamps=False):
result_dict = {}
extensions = {}
for field, value in pb.ListFields():
if field.message_type and field.message_type.has_options and field.message_type.GetOptions().map_entry:
result_dict[field.name] = dict()
value_field = field.message_type.fields_by_name['value']
type_callable = _get_field_value_adaptor(
pb, value_field, type_callable_map,
use_enum_labels, including_default_value_fields)
for k, v in value.items():
result_dict[field.name][k] = type_callable(v)
continue
type_callable = _get_field_value_adaptor(pb, field, type_callable_map,
use_enum_labels,
including_default_value_fields,
human_readable_timestamps)
if field.label == FieldDescriptor.LABEL_REPEATED:
type_callable = repeated(type_callable)
if field.is_extension:
extensions[str(field.number)] = type_callable(value)
continue
if field.full_name in ['google.protobuf.Timestamp.seconds'] and human_readable_timestamps:
result_dict[field.name] = datetime.fromtimestamp(type_callable(value)).strftime('%Y-%m-%d %H:%M:%S.%f')
else:
result_dict[field.name] = type_callable(value)
# Serialize default value if including_default_value_fields is True.
if including_default_value_fields:
for field in pb.DESCRIPTOR.fields:
# Singular message fields and oneof fields will not be affected.
if ((
field.label != FieldDescriptor.LABEL_REPEATED and
field.cpp_type == FieldDescriptor.CPPTYPE_MESSAGE) or
field.containing_oneof):
continue
if field.name in result_dict:
# Skip the field which has been serailized already.
continue
if _is_map_entry(field):
result_dict[field.name] = {}
else:
if use_enum_labels and field.type == FieldDescriptor.TYPE_ENUM:
result_dict[field.name] = enum_label_name(field, field.default_value)
else:
result_dict[field.name] = field.default_value
if extensions:
result_dict[EXTENSION_CONTAINER] = extensions
return result_dict
def _get_field_value_adaptor(pb, field, type_callable_map=TYPE_CALLABLE_MAP,
use_enum_labels=False,
including_default_value_fields=False,
human_readable_timestamps=False):
if field.type == FieldDescriptor.TYPE_MESSAGE:
# recursively encode protobuf sub-message
return lambda pb: protobuf_to_dict(
pb, type_callable_map=type_callable_map,
use_enum_labels=use_enum_labels,
including_default_value_fields=including_default_value_fields,
human_readable_timestamps=human_readable_timestamps
)
if use_enum_labels and field.type == FieldDescriptor.TYPE_ENUM:
return lambda value: enum_label_name(field, value)
if field.type in type_callable_map:
return type_callable_map[field.type]
raise TypeError("Field %s.%s has unrecognised type id %d" % (
pb.__class__.__name__, field.name, field.type))
REVERSE_TYPE_CALLABLE_MAP = {
}
def dict_to_protobuf(pb_klass_or_instance, values, type_callable_map=REVERSE_TYPE_CALLABLE_MAP, strict=True, ignore_none=False):
"""Populates a protobuf model from a dictionary.
:param pb_klass_or_instance: a protobuf message class, or an protobuf instance
:type pb_klass_or_instance: a type or instance of a subclass of google.protobuf.message.Message
:param dict values: a dictionary of values. Repeated and nested values are
fully supported.
:param dict type_callable_map: a mapping of protobuf types to callables for setting
values on the target instance.
:param bool strict: complain if keys in the map are not fields on the message.
:param bool strict: ignore None-values of fields, treat them as empty field
"""
if isinstance(pb_klass_or_instance, Message):
instance = pb_klass_or_instance
else:
instance = pb_klass_or_instance()
return _dict_to_protobuf(instance, values, type_callable_map, strict, ignore_none)
def _get_field_mapping(pb, dict_value, strict):
field_mapping = []
for key, value in dict_value.items():
if key == EXTENSION_CONTAINER:
continue
if key not in pb.DESCRIPTOR.fields_by_name:
if strict:
raise KeyError("%s does not have a field called %s" % (pb, key))
continue
field_mapping.append((pb.DESCRIPTOR.fields_by_name[key], value, getattr(pb, key, None)))
for ext_num, ext_val in dict_value.get(EXTENSION_CONTAINER, {}).items():
try:
ext_num = int(ext_num)
except ValueError:
raise ValueError("Extension keys must be integers.")
if ext_num not in pb._extensions_by_number:
if strict:
raise KeyError("%s does not have a extension with number %s. Perhaps you forgot to import it?" % (pb, key))
continue
ext_field = pb._extensions_by_number[ext_num]
pb_val = None
pb_val = pb.Extensions[ext_field]
field_mapping.append((ext_field, ext_val, pb_val))
return field_mapping
def _dict_to_protobuf(pb, value, type_callable_map, strict, ignore_none):
fields = _get_field_mapping(pb, value, strict)
for field, input_value, pb_value in fields:
if ignore_none and input_value is None:
continue
if field.label == FieldDescriptor.LABEL_REPEATED:
if field.message_type and field.message_type.has_options and field.message_type.GetOptions().map_entry:
value_field = field.message_type.fields_by_name['value']
for key, value in input_value.items():
if value_field.cpp_type == FieldDescriptor.CPPTYPE_MESSAGE:
_dict_to_protobuf(getattr(pb, field.name)[key], value, type_callable_map, strict, ignore_none)
else:
getattr(pb, field.name)[key] = value
continue
for item in input_value:
if field.type == FieldDescriptor.TYPE_MESSAGE:
m = pb_value.add()
_dict_to_protobuf(m, item, type_callable_map, strict, ignore_none)
elif field.type == FieldDescriptor.TYPE_ENUM and isinstance(item, six.string_types):
pb_value.append(_string_to_enum(field, item))
else:
pb_value.append(item)
continue
if field.type == FieldDescriptor.TYPE_MESSAGE:
_dict_to_protobuf(pb_value, input_value, type_callable_map, strict, ignore_none)
continue
if field.type in type_callable_map:
input_value = type_callable_map[field.type](input_value)
if field.is_extension:
pb.Extensions[field] = input_value
continue
if field.type == FieldDescriptor.TYPE_ENUM and isinstance(input_value, six.string_types):
input_value = _string_to_enum(field, input_value)
setattr(pb, field.name, input_value)
return pb
def _string_to_enum(field, input_value):
enum_dict = field.enum_type.values_by_name
try:
input_value = enum_dict[input_value].number
except KeyError:
raise KeyError("`%s` is not a valid value for field `%s`" % (input_value, field.name))
return input_value