from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import json
import numpy as np
import pandas as pd
import os
import glob
import sys
from time import time
from flask import Flask, request, jsonify
import tensorflow as tf
from pycld2 import detect
from polyglot.detect import Detector
import logging
import datetime
from logging.handlers import TimedRotatingFileHandler
import pickle

app = Flask(__name__)

@app.route("/",methods=["GET"])
def index():
	return("App is running")

@app.route("/patient", methods=["POST"])
def patient():
	try:
		name = request.form['name']
		age = request.form['age']
		gender = request.form['gender']
		illness = request.form['illness']

	except Exception as e:
		return "unable to create patient, error:", str(e)

	return jsonify({"name":name, "age":age, "gender":gender, "illness":illness})

@app.route("/doctor", methods=["POST"])
def doctor():

	try:
		if 'diagnoses' in request.files:
			diagnoses = request.files['diagnoses']
			print('one')
			file_name = os.path.join("/home/raj/deep_evn/example", diagnoses.filename)
			print(file_name)
			diagnoses.save(file_name)
			print('three')


		medicine = request.form.get('medicine', "Not required")

	except Exception as e:
		return "Unable to upload model file!, error:", str(e)

	return jsonify({"medicine":medicine, "file":file_name})


if __name__ == '__main__':
		app.run(debug=False, host= "0.0.0.0",port = 2542, use_reloader=False)