I'm using the Google Natural Language API for a project tagging text with sentiment analysis. I want to store my NL results as JSON. If a direct HTTP request is made to Google then a JSON response is returned.
However when using the provided Python libraries an object is returned instead, and that object is not directly JSON serializable.
Here is a sample of my code:
import os
import sys
import oauth2client.client
from google.cloud.gapic.language.v1beta2 import enums, language_service_client
from google.cloud.proto.language.v1beta2 import language_service_pb2
class LanguageReader:
# class that parses, stores and reports language data from text
def __init__(self, content=None):
try:
# attempts to autheticate credentials from env variable
oauth2client.client.GoogleCredentials.get_application_default()
except oauth2client.client.ApplicationDefaultCredentialsError:
print("=== ERROR: Google credentials could not be authenticated! ===")
print("Current enviroment variable for this process is: {}".format(os.environ['GOOGLE_APPLICATION_CREDENTIALS']))
print("Run:")
print(" $ export GOOGLE_APPLICATION_CREDENTIALS=/YOUR_PATH_HERE/YOUR_JSON_KEY_HERE.json")
print("to set the authentication credentials manually")
sys.exit()
self.language_client = language_service_client.LanguageServiceClient()
self.document = language_service_pb2.Document()
self.document.type = enums.Document.Type.PLAIN_TEXT
self.encoding = enums.EncodingType.UTF32
self.results = None
if content is not None:
self.read_content(content)
def read_content(self, content):
self.document.content = content
self.language_client.analyze_sentiment(self.document, self.encoding)
self.results = self.language_client.analyze_sentiment(self.document, self.encoding)
Now if you were to run:
sample_text="I love R&B music. Marvin Gaye is the best. 'What's Going On' is one of my favorite songs. It was so sad when Marvin Gaye died."
resp = LanguageReader(sample_text).results
print resp
You would get:
document_sentiment {
magnitude: 2.40000009537
score: 0.40000000596
}
language: "en"
sentences {
text {
content: "I love R&B music."
}
sentiment {
magnitude: 0.800000011921
score: 0.800000011921
}
}
sentences {
text {
content: "Marvin Gaye is the best."
begin_offset: 18
}
sentiment {
magnitude: 0.800000011921
score: 0.800000011921
}
}
sentences {
text {
content: "'What's Going On' is one of my favorite songs."
begin_offset: 43
}
sentiment {
magnitude: 0.40000000596
score: 0.40000000596
}
}
sentences {
text {
content: "It was so sad when Marvin Gaye died."
begin_offset: 90
}
sentiment {
magnitude: 0.20000000298
score: -0.20000000298
}
}
Which is not JSON. It's an instance of the google.cloud.proto.language.v1beta2.language_service_pb2.AnalyzeSentimentResponse object. And it has no __dict__ attribute attribute so it is not serializable by using json.dumps().
How can I either specify that the response should be in JSON or serialize the object to JSON?
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