def get(self):

# conn = db_connect.connect() # connect to database

#query = conn.execute("select * from employees") # This line performs query and returns json result

#return {'employees': [i[0] for i in query.cursor.fetchall()]} # Fetches first column that is Employee ID

print(time.time())

return recognition.predict_with_url("http://assets.blog.foodnetwork.ca/wp-content/uploads/sites/6/2016/01/poutine-weeek.jpg").text

def post(self):

global counter

#image = request.json["image"]

#recibir la imagen y guardarla en un directorio en local

#image_path = image_path

#image = recognition.predict_with_url(image)

#print(image)

#print(prediction["probabilities"])

#sorted_predictions = [prediction]

#sorted_predictions = sorted(sorted_predictions, key=lambda k: k['probability'], reverse=True)

image = request.files["picture"]

image_path = "images/" + str(counter) + ".jpg"

image.save(image_path)

prediction = recognition.predict_with_url(utilities.get_image_url(image_path)).text

prediction = loads(prediction)

label = prediction["probabilities"][0]["label"]

prob = prediction["probabilities"][0]["probability"]

print(label, prob)

d= utilities.jsonToDict("data_new.json")

counter += 1

try:

return jsonify({"label": label, "probability": prob, "other_data":d[label] })

except:

def post(self):

ingredients = request.json["ingredientes"]

d1= utilities.jsonToDict("data_new.json")

listeichon = []

for recipe in d1:

name = recipe.replace("+", "_")

ingreds = d1[name]['ingredients']

if ingreds is not None:

eljoin = " ".join(ingreds)

eljoin = eljoin.lower()

contador = 0

for i in ingredients:

if i not in eljoin:

break

else:

contador +=1

if contador >= len(ingredients) :

listeichon.append({"name": name, "recipe": d1[recipe]})

return jsonify(listeichon)

else:

continue

def get(self, employee_id):

conn = db_connect.connect()

query = conn.execute("select * from employees where EmployeeId =%d " %int(employee_id))

result = {'data': [dict(zip(tuple (query.keys()) ,i)) for i in query.cursor]}