01-dataprocML.py

#!/usr/bin/env python
# Copyright 2018 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.

'''
  This program takes a sample text line of text and passes to a Natural Language Processing
  services, sentiment analysis, and processes the results in Python.
  
'''

import logging
import argparse
import json

import os
from googleapiclient.discovery import build

from pyspark import SparkContext
sc = SparkContext("local", "Simple App")

'''
You must set these values for the job to run.
'''
APIKEY="your-api-key"   # CHANGE
print(APIKEY)
PROJECT_ID="your-project-id"  # CHANGE
print(PROJECT_ID) 
BUCKET="your-bucket"   # CHANGE


## Wrappers around the NLP REST interface

def SentimentAnalysis(text):
    from googleapiclient.discovery import build
    lservice = build('language', 'v1beta1', developerKey=APIKEY)

    response = lservice.documents().analyzeSentiment(
        body={
            'document': {
                'type': 'PLAIN_TEXT',
                'content': text
            }
        }).execute()
    
    return response

## main

sampleline = 'There are places I remember, all my life though some have changed.'
#

# Calling the Natural Language Processing REST interface
#
results = SentimentAnalysis(sampleline)

# 
#  What is the service returning?
#
print("Function returns: ", type(results))

print(json.dumps(results, sort_keys=True, indent=4))