language/snippets/api/analyze.py

#!/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))