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()