def upload_file():
global s
if request.method == 'POST':
#open filename
f = request.files['file']
#read file
json = f.read()
#create new or append depending on input type
inputType = request.form.get('inputType')
if inputType=='Create_New':
#build model from JSON file
timeser.create_model(json)
else:
#extend(json)
old_json = loads(s)
new_json = loads(json)
old_json.extend(new_json)
s = dumps(old_json)
timeser.create_model(s)
#redirects to forecast visualization
return redirect("/vis")
return '''
from flask import url_for, redirect
from functools import wraps
import urllib2
import pandas as pd
import dateutil
import timeser
app = Flask(__name__)
s = None
#loads assigned data by default
if __name__ == "__main__":
f = open('../uber_demand_prediction_challenge.json')
s = f.read()
timeser.create_model(s)
app.run(host='0.0.0.0', port=5002)
#Can load or append any JSON file
@app.route('/', methods=['GET', 'POST'])
def upload_file():
global s
if request.method == 'POST':
#open filename
f = request.files['file']
#read file
json = f.read()
#create new or append depending on input type
inputType = request.form.get('inputType')
if inputType=='Create_New':
#build model from JSON file
