Using google cloud vision api on google app engine with python - bare metal

image_web_detection.py

# -*- coding: utf-8 -*-

__author__ = "Stefan Kögl"

from json import dumps, loads

from google.appengine.api.urlfetch import fetch, POST


def vision_api_web_detection(uri):
	"""This is the minimal code to accomplish a web detect request to the google vision api

	You don't need 56 MiB of python client code installing 'google-cloud-vision' to accomplish
	that task on google app engine, which does not even work.

	.. TODO:: you should have secured your api key before you deploy this code snippet.
	Please take a look at https://support.google.com/cloud/answer/6310037?hl=en

	:param uri: the complete uri to compare against the web
	:type uri: str
	:return: the result dictionary
	:rtype: dict
	"""

	api_key = "YourSecretApiKey"

	payload = {
		"requests": [
			{
				"image": {
					"source": {
						"image_uri": uri
					}
				},
				"features": [
					{
						"type": "WEB_DETECTION"
					}
				]
			}
		]
	}

	response = fetch(
		"https://vision.googleapis.com/v1/images:annotate?key=" + api_key,
		method=POST,
		payload=dumps(payload),
		headers={"Content-Type": "application/json"}
	)
	result = loads(response.content)
	return result["responses"][0]["webDetection"]