start_month, day = fromConfig('default.start_day') target_start_date = datetime(start_year, start_month, day) month, day = fromConfig('default.end_day') target_end_date = datetime(target_year, month, day) # download several days at a time start_date = target_start_date end_date = start_date + days_per_loop while start_date <= target_end_date: if end_date > target_end_date: end_date = target_end_date print 'downloading', asAcisQueryDate(start_date), asAcisQueryDate(end_date) # download historical temperatures for the time span data = factory.getAcisGridData('mint,maxt', start_date, end_date, None, data_bbox, acis_grid, debug=debug) # update the file's temperature grid manager.open('a') manager.updateTemp('reported.maxt', data['maxt'], start_date) manager.updateTemp('reported.mint', data['mint'], start_date) manager.close() # next month start_date = end_date + ONE_DAY end_date = start_date + days_per_loop
print manager._hdf5_filepath manager.close() if download_temps: current_date = datetime.datetime.now() if target_year <= current_date.year: if target_year == current_date.year: if current_date >= start_date and current_date <= end_date: end_date = current_date date = start_date while date <= end_date: if verbose: print '\ndownloading', date manager.open('a') acis_grid = manager.getDatasetAttribute('reported.maxt', 'acis_grid') data = factory.getAcisGridData('mint,maxt', date, None, None, manager.data_bbox, int(acis_grid), debug=debug) manager.updateTemp('reported.maxt', data['maxt'], date) manager.updateTemp('reported.mint', data['mint'], date) manager.close() date += ONE_DAY if sleep > 0 and date < end_date: time.sleep(sleep) # turn annoying numpy warnings back on warnings.resetwarnings()