我试图使用google云自然语言API来分析实体情感。
from google.cloud import language_v1
import os
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = 'path/to/json'
client = language_v1.LanguageServiceClient()
text_content = 'Grapes are good. Bananas are bad.'
# Available types: PLAIN_TEXT, HTML
type_ = language_v1.Document.Type.PLAIN_TEXT
# Optional. If not specified, the language is automatically detected.
# For list of supported languages:
# https://cloud.google.com/natural-language/docs/languages
document = language_v1.Document(content=text_content, type_=language_v1.Document.Type.PLAIN_TEXT)
# Available values: NONE, UTF8, UTF16, UTF32
encoding_type = language_v1.EncodingType.UTF8
response = client.analyze_entity_sentiment(request = {'document': document, 'encoding_type': encoding_type})然后,我从响应中打印出实体及其属性。
for entity in response.entities:
print('=' * 20)
print(type(entity))
print(entity)
====================
<class 'google.cloud.language_v1.types.language_service.Entity'>
name: "Grapes"
type_: OTHER
salience: 0.8335162997245789
mentions {
text {
content: "Grapes"
}
type_: COMMON
sentiment {
magnitude: 0.8999999761581421
score: 0.8999999761581421
}
}
sentiment {
magnitude: 0.8999999761581421
score: 0.8999999761581421
}
====================
<class 'google.cloud.language_v1.types.language_service.Entity'>
name: "Bananas"
type_: OTHER
salience: 0.16648370027542114
mentions {
text {
content: "Bananas"
begin_offset: 17
}
type_: COMMON
sentiment {
magnitude: 0.8999999761581421
score: -0.8999999761581421
}
}
sentiment {
magnitude: 0.8999999761581421
score: -0.8999999761581421
}现在,我希望以JSON或字典格式存储整个响应,以便将其存储到数据库中的表中或进行处理。我试着跟踪将实体情感输出转换为JSON和属性),但没有成功。
如果我用
from google.protobuf.json_format import MessageToDict, MessageToJson
result_dict = MessageToDict(response)
result_json = MessageToJson(response)我说错了
>>> result_dict = MessageToDict(response)
Traceback (most recent call last):
File "/Users/pmehta/Anaconda-3/anaconda3/envs/nlp_36/lib/python3.6/site-packages/proto/message.py", line 555, in __getattr__
pb_type = self._meta.fields[key].pb_type
KeyError: 'DESCRIPTOR'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/pmehta/Anaconda-3/anaconda3/envs/nlp_36/lib/python3.6/site-packages/google/protobuf/json_format.py", line 175, in MessageToDict
return printer._MessageToJsonObject(message)
File "/Users/pmehta/Anaconda-3/anaconda3/envs/nlp_36/lib/python3.6/site-packages/google/protobuf/json_format.py", line 209, in _MessageToJsonObject
message_descriptor = message.DESCRIPTOR
File "/Users/pmehta/Anaconda-3/anaconda3/envs/nlp_36/lib/python3.6/site-packages/proto/message.py", line 560, in __getattr__
raise AttributeError(str(ex))
AttributeError: 'DESCRIPTOR'如何解析此响应以正确地将其转换为json或dict?
发布于 2020-10-22 20:53:24
作为google-cloud-language 2.0.0移徙的一部分,响应消息由包装原始原型消息的proto-plus提供。ParseDict和MessageToDict是protobuf提供的方法,由于proto-plus封装了proto消息,所以不能再直接使用这些protobuf方法。
替换
from google.protobuf.json_format import MessageToDict, MessageToJson
result_dict = MessageToDict(response)
result_json = MessageToJson(response)使用
import json
result_json = response.__class__.to_json(response)
result_dict = json.loads(result_json)
result_dict发布于 2020-11-26 00:15:27
tl;博士接受的解决方案不是苹果对苹果的替代。为了恢复原始行为,需要执行以下操作:
from google.protobuf.json_format import MessageToDict
result_dict = MessageToDict(response.__class__.pb(response))在亲自经历了这些之后,我想指出的是,to_json和MessageToDict都有很大的变化。参数including_default_value_fields和use_integers_for_enums默认为False for MessageToDict,现在它们默认为True for to_json。
以下是to_json正式实现的参考
def to_json(cls, instance, *, use_integers_for_enums=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=True,
)https://stackoverflow.com/questions/64470470
复制相似问题