#!/usr/bin/env python

# Copyright 2016 Google Inc. All Rights Reserved.
#
# 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.

# comment out for GitHub
# from flask import escape

def run_quickstart(request):
    #
    request_json = request.get_json()
    request_args = request.args
    
    if request_json and 'url' in request_json:
        url = request_json['url']
    elif request_args and 'url' in request_args:
        url = request_args['url']
    else:
        url = 'error'
    
    # return 'Hello {}!'.format(escape(url))

	# [START vision_quickstart]
    import io
    import os
    import json
    # Imports the Google Cloud client library
    # [START vision_python_migration_import]
    from google.cloud import vision
    from google.cloud.vision import types
    # [END vision_python_migration_import]

    # Instantiates a client
    # [START vision_python_migration_client]
    client = vision.ImageAnnotatorClient()
    # [END vision_python_migration_client]

    # The name of the image file to annotate
    file_name = os.path.join(
        os.path.dirname(__file__),
        'resources/dogpic.jpg')

    # Loads the image into memory
    with io.open(file_name, 'rb') as image_file:
        content = image_file.read()

    image = types.Image(content=content)

    # Performs label detection on the image file
    response = client.label_detection(image=image)
    labels = response.label_annotations
    
    labels_list = []
    
    for label in labels:
        labels_list.append(label)
        
    # [END vision_quickstart]
    return json.dumps(labels_list)
