Yet not working script

cron_update_measurements.py

@@ -3,20 +3,22 @@ import requests
 import time
 from tornado.ioloop import IOLoop
 from functools import partial
-from db import DDBstations, DDBtypes, DDBmeasurements, DDBlastmeasurements
+from db import DDBstations, DDBtypes
 from dateutil.parser import parse
+import models
+from tornado.gen import coroutine
 
 
 def get_station_by_id(station_id, station_data):
     for station in station_data:
         if str(station['api_station_id']) == station_id:
-            return station['station_id']
+            return models.Station.get(station['station_id'])
 
 
 def get_type_by_name(type_name, type_data):
     for type in type_data:
         if type['shortname'] == type_name:
-            return type['type_id']
+            return models.Type.get(type['type_id'])
 
 
 def get_timestamp_from_datetime(datetime_string):
@@ -24,33 +26,30 @@ def get_timestamp_from_datetime(datetime_string):
     return time.mktime(dt.timetuple())
 
 
-ioloop = IOLoop.instance()
-measurements = DDBmeasurements()
-last_measurements = DDBlastmeasurements()
-stations = DDBstations()
-types = DDBtypes()
+@coroutine
+def main(ioloop):
+    stations = DDBstations()
+    types = DDBtypes()
 
-apiURL = "http://powietrze.malopolska.pl/_powietrzeapi/api/dane?act=danemiasta&ci_id=1"
+    apiURL = "http://powietrze.malopolska.pl/_powietrzeapi/api/dane?act=danemiasta&ci_id=1"
 
-r = requests.get(apiURL)
-actual_data = r.json()['dane']['actual']
+    r = requests.get(apiURL)
+    actual_data = r.json()['dane']['actual']
 
-station_data = ioloop.run_sync(partial(stations.get_all))
-type_data = ioloop.run_sync(partial(types.get_all))
+    station_data = ioloop.run_sync(partial(stations.get_all))
+    type_data = ioloop.run_sync(partial(types.get_all))
 
-for station_measurements in actual_data:
-    for measurement in station_measurements['details']:
-        try:
-            ready_station_id = get_station_by_id(measurement['st_id'], station_data)
-            ready_type_id = get_type_by_name(measurement['par_name'], type_data)
+    for station_measurements in actual_data:
+        for measurement in station_measurements['details']:
+            ready_station = get_station_by_id(measurement['st_id'], station_data)
+            ready_type = get_type_by_name(measurement['par_name'], type_data)
             ready_measurement_value = measurement['o_value']
             ready_measurement_timestamp = get_timestamp_from_datetime(measurement['o_czas'])
 
-            if ready_station_id and ready_type_id and ready_measurement_value and ready_measurement_timestamp:
-                ioloop.run_sync(partial(measurements.add, station_id=ready_station_id, type_id=ready_type_id,
-                                        value=ready_measurement_value, measurement_time=ready_measurement_timestamp))
-                ioloop.run_sync(partial(last_measurements.add, station_id=ready_station_id, type_id=ready_type_id,
-                                        value=ready_measurement_value, measurement_time=ready_measurement_timestamp))
+            if ready_station and ready_type and ready_measurement_value and ready_measurement_timestamp:
+                measurement = models.Measurement(station=ready_station, pollution_type=ready_type,
+                                                 value=ready_measurement_value, time=ready_measurement_timestamp)
+                yield measurement.save()
 
-        except Exception:
-            pass
+ioloop = IOLoop.instance()
+IOLoop.current().run_sync(main(ioloop))