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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.

# [START full_tutorial_script]

# [START import_libraries]

import argparse

import io

from googleapiclient import discovery

from oauth2client.client import GoogleCredentials

# [END import_libraries]

def print_sentiment(filename):

"""Prints sentiment analysis on a given file contents."""

# [START authenticating_to_the_api]

credentials = GoogleCredentials.get_application_default()

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

# [END authenticating_to_the_api]

# [START constructing_the_request]

with io.open(filename, 'r') as review_file:

review_file_contents = review_file.read()

service_request = service.documents().analyzeSentiment(

body={

'document': {

'type': 'PLAIN_TEXT',

'content': review_file_contents,

}

}

)

response = service_request.execute()

# [END constructing_the_request]

# [START parsing_the_response]

score = response['documentSentiment']['score']

magnitude = response['documentSentiment']['magnitude']

for n, sentence in enumerate(response['sentences']):

sentence_sentiment = sentence['sentiment']['score']

print('Sentence {} has a sentiment score of {}'.format(n,

sentence_sentiment))

print('Overall Sentiment: score of {} with magnitude of {}'.format(

score, magnitude))

# [END parsing_the_response]

# [START running_your_application]

if __name__ == '__main__':

parser = argparse.ArgumentParser()

parser.add_argument(

'movie_review_filename',

help='The filename of the movie review you\'d like to analyze.')

args = parser.parse_args()

print_sentiment(args.movie_review_filename)

# [END running_your_application]

# [END full_tutorial_script]