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#!/usr/bin/env python

# Copyright 2016 Google, 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

# limitations under the License.

"""Analyzes text using the Google Cloud Natural Language API."""

import argparse

import json

import sys

import googleapiclient.discovery

def get_native_encoding_type():

"""Returns the encoding type that matches Python's native strings."""

if sys.maxunicode == 65535:

return 'UTF16'

else:

return 'UTF32'

def analyze_entities(text, encoding='UTF32'):

body = {

'document': {

'type': 'PLAIN_TEXT',

'content': text,

},

'encoding_type': encoding,

}

service = googleapiclient.discovery.build('language', 'v1')

request = service.documents().analyzeEntities(body=body)

response = request.execute()

return response

def analyze_sentiment(text, encoding='UTF32'):

body = {

'document': {

'type': 'PLAIN_TEXT',

'content': text,

},

'encoding_type': encoding

}

service = googleapiclient.discovery.build('language', 'v1')

request = service.documents().analyzeSentiment(body=body)

response = request.execute()

return response

def analyze_syntax(text, encoding='UTF32'):

body = {

'document': {

'type': 'PLAIN_TEXT',

'content': text,

},

'encoding_type': encoding

}

service = googleapiclient.discovery.build('language', 'v1')

request = service.documents().analyzeSyntax(body=body)

response = request.execute()

return response

if __name__ == '__main__':

parser = argparse.ArgumentParser(

description=__doc__,

formatter_class=argparse.RawDescriptionHelpFormatter)

parser.add_argument('command', choices=[

'entities', 'sentiment', 'syntax'])

parser.add_argument('text')

args = parser.parse_args()

if args.command == 'entities':

result = analyze_entities(args.text, get_native_encoding_type())

elif args.command == 'sentiment':

result = analyze_sentiment(args.text, get_native_encoding_type())

elif args.command == 'syntax':

result = analyze_syntax(args.text, get_native_encoding_type())

print(json.dumps(result, indent=2))