Python 与谷歌云语言 api 问题？

Question

使用 python 的 google-cloud-language 库如何获取从以下方法返回的 JSON。

client.classify_text()
client.analyze_entity_sentiment()

response.serializetostring() 方法似乎以无法在 python 中解码的方式对结果进行编码。不是 UTF-8 或 unicode 转义。 我想获取 JSON，以便将其转储到 mongodb 中。

提前致谢。

Answer 1

您可以使用google.protobuf.json_format.MessageToJson 方法将普通的protobuf 对象序列化为JSON。例如：

from google.cloud import language
from google.protobuf.json_format import MessageToJson

client = language.LanguageServiceClient()

document = language.types.Document(
    content='Mona said that jogging is very fun.',
    type='PLAIN_TEXT',
)

response = client.analyze_entity_sentiment(
    document=document,
    encoding_type='UTF32',
)

print(MessageToJson(response))

打印：

{
  "entities": [
    {
      "name": "Mona",
      "type": "PERSON",
      "salience": 0.6080747842788696,
      "mentions": [
        {
          "text": {
            "content": "Mona"
          },
          "type": "PROPER",
          "sentiment": {
            "magnitude": 0.10000000149011612,
            "score": 0.10000000149011612
          }
        }
      ],
      "sentiment": {
        "magnitude": 0.10000000149011612,
        "score": 0.10000000149011612
      }
    },
    {
      "name": "jogging",
      "type": "OTHER",
      "salience": 0.39192524552345276,
      "mentions": [
        {
          "text": {
            "content": "jogging",
            "beginOffset": 15
          },
          "type": "COMMON",
          "sentiment": {
            "magnitude": 0.8999999761581421,
            "score": 0.8999999761581421
          }
        }
      ],
      "sentiment": {
        "magnitude": 0.8999999761581421,
        "score": 0.8999999761581421
      }
    }
  ],
  "language": "en"
}