# Import the language module
from google.cloud import language

# Import enums and types
from google.cloud.language import enums
from google.cloud.language import types

# Create the Language API client
lang_client = language.LanguageServiceClient()

"""
Returns sentiment analysis score
- create document from passed text
- do sentiment analysis using natural language applicable
- return the sentiment score
"""
def analyze(text):

    # Create a Document object
    doc = types.Document(content=text, type=enums.Document.Type.PLAIN_TEXT)
    
    # Analyze the sentiment
    sentiment = lang_client.analyze_sentiment(document=doc).document_sentiment

    # Return the sentiment score
    return sentiment.score