old_contents: import emission.core.get_database as edb
  import bson.json_util as bju
  import requests
  import json
  import logging
  
  
  # Request data for the specified phones and time range
  def request_data(server_url, from_ts, to_ts, phone_ids, debug):
      url = server_url + "/eval/publicData/timeseries?from_ts=" + str(
          from_ts) + "&to_ts=" + str(to_ts)
      ids = {'phone_ids': phone_ids}
      headers = {'Content-Type': 'application/json'}
  
      r = requests.get(url, data=json.dumps(ids), headers=headers)
  
      dic = json.loads(r.text, object_hook=bju.object_hook)
      phone_list = dic['phone_data']
  
      if phone_list == None:
          print "Requested amount of data exceeds the threshold value."
      else:
          # Load data to the local server
          tsdb = edb.get_timeseries_db()
  
          for index, entry_list in enumerate(phone_list):
              if debug:
                  logging.debug("phone" + str(
                      index + 1) + " first entry (in Pacific Time):")
  
                  if len(entry_list) == 0:
                      logging.debug("...has no data...")
                  else:
                      logging.debug(str(
                          entry_list[0].get('metadata').get('write_fmt_time')))
                      # logging.debug("saving %d entries" % len(entry_list))
  
              for entry in entry_list:
                  tsdb.save(entry)
  
  
  # Request data in 5hr-long chunks
  def request_batched_data(server_url, from_ts, to_ts, phone_ids):
      t1 = from_ts
      debug = True  # only set to True for the first loop iteration
      while t1 < to_ts:
          t2 = min(t1 + 5 * 60 * 60, to_ts)
          request_data(server_url, t1, t2, phone_ids, debug)
          t1 = t2
          debug = False
      print "Data loaded to local server!"
  
new_contents: import emission.core.get_database as edb
  import bson.json_util as bju
  import requests
  import json
  import logging
  
  
  # Request data for the specified phones and time range
  def request_data(server_url, from_ts, to_ts, phone_ids, debug):
      url = server_url + "/eval/publicData/timeseries?from_ts=" + str(
          from_ts) + "&to_ts=" + str(to_ts)
      ids = {'phone_ids': phone_ids}
      headers = {'Content-Type': 'application/json'}
  
      r = requests.get(url, data=json.dumps(ids), headers=headers)
  
      dic = json.loads(r.text, object_hook=bju.object_hook)
      phone_list = dic['phone_data']
  
      if phone_list == None:
          print "Requested amount of data exceeds the threshold value."
      else:
          # Load data to the local server
          tsdb = edb.get_timeseries_db()
  
          for index, entry_list in enumerate(phone_list):
              if debug:
                  logging.debug("phone" + str(
                      index + 1) + " first entry (in Pacific Time):")
  
                  if len(entry_list) == 0:
                      logging.debug("...has no data...")
                  else:
                      logging.debug(str(
                          entry_list[0].get('metadata').get('write_fmt_time')))
  
                  logging.debug("saving %d entries" % len(entry_list))
  
              for entry in entry_list:
                  tsdb.save(entry)
  
  
  # Request data in 5hr-long chunks
  def request_batched_data(server_url, from_ts, to_ts, phone_ids):
      t1 = from_ts
      debug = True  # only set to True for the first loop iteration
      while t1 < to_ts:
          t2 = min(t1 + 5 * 60 * 60, to_ts)
          request_data(server_url, t1, t2, phone_ids, debug)
          t1 = t2
          debug = False
      print "Data loaded to local server!"
  
subject: Add some more information on how many entries were saved