---

backend/app/admin.py

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+from django.contrib import admin
+
+# Register your models here.

backend/app/apps.py

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+from django.apps import AppConfig
+
+
+class AppConfig(AppConfig):
+    default_auto_field = 'django.db.models.BigAutoField'
+    name = 'app'

backend/app/models.py

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+from django.db import models
+
+# Create your models here.

backend/app/tests.py

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+from django.test import TestCase
+
+# Create your tests here.

backend/app/urls.py

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+from django.urls import path
+
+from . import views
+
+urlpatterns = [
+    path('', views.index, name='index'),
+    path('predict', views.predict, name='predict'),
+]

backend/app/views.py

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+from django.http import HttpResponse, JsonResponse
+from datetime import datetime
+import pandas as pd
+import statsmodels.api as sm
+
+stations = ['Kamppi (M)', 'Rautatientori - itä']
+station_dict = {}
+
+for station in stations:
+  departure_data = pd.read_csv('datasets/' + station + '_hourly_aggregate.csv')
+  return_data = pd.read_csv('datasets/' + station + '_return_hourly_aggregate.csv')
+  departure_data['Departure'] = pd.to_datetime(departure_data['Departure'], format='mixed')
+  return_data['Return'] = pd.to_datetime(return_data['Return'], format='mixed')
+
+  departure_data.set_index(departure_data['Departure'], inplace=True)
+  return_data.set_index(return_data['Return'], inplace=True)
+
+  departure_data['trip'] = pd.to_numeric(departure_data['trip'], errors='coerce')
+  return_data['trip'] = pd.to_numeric(return_data['trip'], errors='coerce')
+
+  departure_data = departure_data.dropna(axis=1)
+  return_data = return_data.dropna(axis=1)
+
+  departure_mod = sm.tsa.statespace.SARIMAX(departure_data['trip'], order=(1, 1, 1), seasonal_order=(0, 1, 0, 24), freq='h').fit(disp=False, low_memory=True)
+  return_mod = sm.tsa.statespace.SARIMAX(return_data['trip'], order=(1, 1, 1), seasonal_order=(0, 1, 0, 24), freq='h').fit(disp=False, low_memory=True)
+
+  station_dict[station] = {} 
+  station_dict[station]['departure_mod'] = departure_mod 
+  station_dict[station]['return_mod'] = return_mod
+
+
+def index(request):
+  return HttpResponse('You\'re at the app index.')
+
+
+def predict(request):
+  if request.method == 'GET':
+    current = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
+    timestamp = request.GET.get('timestamp', current)
+    station = request.GET.get('station', 'Kamppi (M)')
+    ts = timestamp
+
+    defaultBikeCount = 28
+
+    departingCount = -1
+    if departure_data.index.max() >= pd.to_datetime(timestamp):
+      ls = departure_data[departure_data['Departure'] == ts]['trip'].tolist()
+      if len(ls) != 0:
+        departingCount = ls[0]
+      else:
+        pass
+    else:
+      departure_mod = station_dict[station]['departure_mod']
+      departForecast = departure_mod.forecast(timestamp)
+      departingCount = round(departForecast[-1])
+
+    returningCount = -1
+    if return_data.index.max() >= pd.to_datetime(timestamp):
+      ls = return_data[return_data['Return'] == ts]['trip'].tolist()
+      if len(ls) != 0:
+        returningCount = ls[0]
+      else:
+        pass
+    else:
+      return_mod = station_dict[station]['return_mod']
+      returnForecast = return_mod.forecast(timestamp)
+      returningCount = round(returnForecast[-1])
+
+    bikeAtStationCount = defaultBikeCount - departingCount + returningCount
+
+    result = {
+        'timestamp': timestamp,
+        'station': station,
+        'departingCount': departingCount,
+        'returningCount': returningCount,
+        'bikeAtStationCount': bikeAtStationCount,
+        'increasing': returningCount > departingCount
+    }
+
+    return JsonResponse(result)