def get_times():
"""Given bins return start time of first and start time of first + 1 bins"""
sb = request.args.get('start')
eb = request.args.get('stop')
if sb is None or eb is None:
return "Need bin and end to compute bin range"
sb = int(sb)
eb = int(eb)
ret = {
'startDT' : ntp_to_ISO_date(bin_to_time(sb)),
'start' : bin_to_time(sb),
'stopDT' : ntp_to_ISO_date(bin_to_time(eb + 1)),
'stop' : bin_to_time(eb + 1)
}
return Response(json.dumps(ret), mimetype='application/json')
def offload_bin(stream, data_bin, san_dir_string):
# get the data and drop duplicates
cols, data = fetch_all_data(stream, TimeRange(bin_to_time(data_bin), bin_to_time(data_bin + 1)))
dataset = to_xray_dataset(cols, data, stream, san=True)
nc_directory = san_dir_string.format(data_bin)
if not os.path.exists(nc_directory):
os.makedirs(nc_directory)
for deployment, deployment_ds in dataset.groupby("deployment"):
# get a file name and create deployment directory if needed
nc_file_name = get_nc_filename(stream, nc_directory, deployment)
log.info(
"Offloading %s deployment %d to %s - There are %d particles",
str(stream),
deployment,
nc_file_name,
len(deployment_ds["index"]),
)
# create netCDF file
deployment_ds.to_netcdf(path=nc_file_name)
return True, ""
