我正在尝试将Google Cloud Vision API客户端库的响应转换为json格式。但是我收到以下错误:
AttributeError:' google.protobuf.pyext._message.RepeatedCompositeCo' 对象没有属性' DESCRIPTOR
资源
from flask_restful import Resource
from flask import request
from flask import json
from util.GoogleVision import GoogleVision
from util.Convert import Convert
import base64
import requests
import os
class Vision(Resource):
def post(self):
googleVision = GoogleVision()
req = request.get_json()
url = req['url']
result = googleVision.detectLabels(url)
return result
GoogleVision.py
import os
from google.cloud import vision
from google.cloud.vision import types
from google.protobuf.json_format import MessageToJson
class GoogleVision():
def detectLabels(self, uri):
client = vision.ImageAnnotatorClient()
image = types.Image()
image.source.image_uri = uri
response = client.label_detection(image=image)
labels = response.label_annotations
res = MessageToJson(labels)
return res
标签变量的类型为<class'google.protobuf.pyext._message.RepeatedCompositeContainer'>
正如你所看到我在标签响应中使用消息到json函数。但我得到了上述错误。
有没有办法将结果转换为json格式?
答案 0 :(得分:3)
一种简单的方法是使用发现API。您可以使用build()函数创建服务对象。执行请求时,您将以字典的形式获得响应。然后,您可以使用json.dumps()
将其转换为JSON。
Discovery API示例:
import json
import apiclient.discovery
import base64
class GoogleVision():
def detectLabels(self, uri):
# Instantiates a client
service = apiclient.discovery.build('vision', 'v1')
# Image file
file_name=uri
# Loads the image into memory
with open(file_name, 'rb') as image:
image_content = base64.b64encode(image.read())
# Creates the request
service_request = service.images().annotate(body={
'requests': [{
'image': {
'content': image_content.decode('UTF-8')
},
'features': [{
'type': 'LABEL_DETECTION',
}]
}]
})
# Execute the request
response = service_request.execute()
# Convert to Json
res_json = json.dumps(response)
return res_json
如果您不想使用Discovery API,则可以先使用MessageToDict()
函数将响应转换为字典,然后再使用json.dumps()
将其转换为JSON。
不使用MessageToDict()
的Discovery API的示例:
import json
from google.cloud import vision
from google.cloud.vision import types
from google.protobuf.json_format import MessageToDict
class GoogleVision():
def detectLabels(self, uri):
# Instantiates a client
client = vision.ImageAnnotatorClient()
# Image file
file_name=uri
# Loads the image into memory
with open(file_name, 'rb') as image:
image_content = image.read()
image = types.Image(content=image_content)
# Performs label detection on the image file
response = client.label_detection(image=image)
#Convert the response to dictionary
response = MessageToDict(response)
# Convert to Json
res_json = json.dumps(response)
return res_json