new_contents: # Exports all data for the particular user for the particular day
  # Used for debugging issues with trip and section generation 
  import sys
  import logging
  logging.basicConfig(level=logging.DEBUG)
  
  import uuid
  import datetime as pydt
  import json
  import bson.json_util as bju
  import arrow
  
  import emission.storage.timeseries.abstract_timeseries as esta
  import emission.storage.timeseries.timequery as estt
  
  def export_timeline(user_id_str, start_day_str, end_day_str, file_name):
      logging.info("Extracting timeline for user %s day %s -> %s and saving to file %s" %
                   (user_id_str, start_day_str, end_day_str, file_name))
  
      # day_dt = pydt.datetime.strptime(day_str, "%Y-%m-%d").date()
      start_day_ts = arrow.get(start_day_str).timestamp
      end_day_ts = arrow.get(end_day_str).timestamp
      logging.debug("start_day_ts = %s (%s), end_day_ts = %s (%s)" % 
          (start_day_ts, arrow.get(start_day_ts),
           end_day_ts, arrow.get(end_day_ts)))
  
      ts = esta.TimeSeries.get_time_series(uuid.UUID(user_id_str))
      loc_time_query = estt.TimeQuery("data.ts", start_day_ts, end_day_ts)
      loc_entry_list = list(ts.find_entries(key_list=None, time_query=loc_time_query))
      trip_time_query = estt.TimeQuery("data.start_ts", start_day_ts, end_day_ts)
      trip_entry_list = list(ts.find_entries(key_list=None, time_query=trip_time_query))
      place_time_query = estt.TimeQuery("data.enter_ts", start_day_ts, end_day_ts)
      place_entry_list = list(ts.find_entries(key_list=None, time_query=place_time_query))
  
      logging.info("Found %d loc entries, %d trip-like entries, %d place-like entries" % 
          (len(loc_entry_list), len(trip_entry_list), len(place_entry_list)))
      json.dump(loc_entry_list + trip_entry_list + place_entry_list,
          open(file_name, "w"), default=bju.default, allow_nan=False, indent=4)
  
  if __name__ == '__main__':
      if len(sys.argv) != 5:
          print "Usage: %s <user> <start_day> <end_day> <file>" % (sys.argv[0])
      else:
          export_timeline(user_id_str=sys.argv[1], start_day_str=sys.argv[2], end_day_str=sys.argv[3], file_name=sys.argv[4])
  
subject: Add a new script that downloads data for a date range