def test_find_run_summary():
from lstchain.onsite import find_run_summary
# find by run_id
path = find_run_summary(date='20200218', base_dir=BASE_DIR)
assert path.name == 'RunSummary_20200218.ecsv'
path = find_run_summary(date='20201120', base_dir=BASE_DIR)
assert path.name == 'RunSummary_20201120.ecsv'
with pytest.raises(IOError):
find_run_summary(date='20221120', base_dir=BASE_DIR)
def main():
args = parser.parse_args()
run = args.run_number
prod_id = args.prod_version
stat_events = args.statistics
time_run = args.time_run
sys_date = args.sys_date
no_sys_correction = args.no_sys_correction
output_base_name = args.output_base_name
sub_run = args.sub_run
tel_id = args.tel_id
config_file = args.config
yes = args.yes
pro_symlink = not args.no_pro_symlink
# looks for the filter values in the database if not given
if args.filters is None:
filters = search_filter(run, args.mongodb)
else:
filters = args.filters
if filters is None:
sys.exit(f"Missing filter value for run {run}. \n")
# define the FF selection cuts
if args.min_ff is None or args.max_ff is None:
min_ff, max_ff = define_FF_selection_range(filters)
else:
min_ff, max_ff = args.min_ff, args.max_ff
print(f"\n--> Start calculating calibration from run {run}, filters {filters}")
# verify config file
if not config_file.exists():
raise IOError(f"Config file {config_file} does not exists. \n")
print(f"\n--> Config file {config_file}")
# verify input file
r0_dir = args.r0_dir or args.base_dir / 'R0'
input_file = find_r0_subrun(run, sub_run, r0_dir)
date = input_file.parent.name
print(f"\n--> Input file: {input_file}")
# verify output dir
calib_dir = args.base_dir / LEVEL_A_PIXEL_DIR
output_dir = calib_dir / "calibration" / date / prod_id
if not output_dir.exists():
print(f"--> Create directory {output_dir}")
output_dir.mkdir(parents=True, exist_ok=True)
if pro_symlink:
pro = "pro"
create_pro_symlink(output_dir)
else:
pro = prod_id
# make log dir
log_dir = output_dir / "log"
if not log_dir.exists():
print(f"--> Create directory {log_dir}")
log_dir.mkdir(parents=True, exist_ok=True)
# search the summary file info
run_summary_path = find_run_summary(date, args.base_dir)
print(f"\n--> Use run summary {run_summary_path}")
pedestal_file = find_pedestal_file(pro, args.pedestal_run, date=date, base_dir=args.base_dir)
print(f"\n--> Pedestal file: {pedestal_file}")
# search for time calibration file
time_file = find_time_calibration_file(pro, run, time_run, args.base_dir)
print(f"\n--> Time calibration file: {time_file}")
# define systematic correction file
if no_sys_correction:
systematics_file = None
else:
systematics_file = find_systematics_correction_file(pro, date, sys_date, args.base_dir)
print(f"\n--> F-factor systematics correction file: {systematics_file}")
# define charge file names
print("\n***** PRODUCE CHARGE CALIBRATION FILE ***** ")
if filters is not None:
filter_info = f"_filters_{filters}"
else:
filter_info = ""
# remember there are no systematic corrections
prefix = "no_sys_corrected_" if no_sys_correction else ""
output_name = f"{prefix}{output_base_name}{filter_info}.Run{run:05d}.{sub_run:04d}"
output_file = output_dir / f'{output_name}.h5'
print(f"\n--> Output file {output_file}")
log_file = log_dir / f"{output_name}.log"
print(f"\n--> Log file {log_file}")
if output_file.exists():
remove = False
if not yes and os.getenv('SLURM_JOB_ID') is None:
remove = query_yes_no(">>> Output file exists already. Do you want to remove it?")
if yes or remove:
os.remove(output_file)
os.remove(log_file)
else:
print("\n--> Output file exists already. Stop")
exit(1)
#
# produce ff calibration file
#
cmd = [
"lstchain_create_calibration_file",
f"--input_file={input_file}",
f"--output_file={output_file}",
"--LSTEventSource.default_trigger_type=tib",
f"--EventSource.min_flatfield_adc={min_ff}",
f"--EventSource.max_flatfield_adc={max_ff}",
f"--LSTCalibrationCalculator.systematic_correction_path={systematics_file}",
f"--LSTEventSource.EventTimeCalculator.run_summary_path={run_summary_path}",
f"--LSTEventSource.LSTR0Corrections.drs4_time_calibration_path={time_file}",
f"--LSTEventSource.LSTR0Corrections.drs4_pedestal_path={pedestal_file}",
f"--LSTEventSource.use_flatfield_heuristic={args.use_flatfield_heuristic}",
f"--FlatFieldCalculator.sample_size={stat_events}",
f"--PedestalCalculator.sample_size={stat_events}",
f"--config={config_file}",
f"--log-file={log_file}",
"--log-file-level=DEBUG",
]
print("\n--> RUNNING...")
subprocess.run(cmd, check=True)
# plot and save some results
plot_file = f"{output_dir}/log/{output_name}.pdf"
print(f"\n--> PRODUCING PLOTS in {plot_file} ...")
calib.read_file(output_file, tel_id)
calib.plot_all(calib.ped_data, calib.ff_data, calib.calib_data, run, plot_file)
print("\n--> END")
def main():
args = parser.parse_args()
run = args.run_number
prod_id = args.prod_version
stat_events = args.statistics
base_dir = args.base_dir
sub_run = args.sub_run
config_file = args.config
pro_symlink = not args.no_pro_symlink
print(f"\n--> Start calculating drs4 time corrections from run {run}")
# verify config file
if not config_file.exists():
raise IOError(f"Config file {config_file} does not exists. \n")
print(f"\n--> Config file {config_file}")
# verify input file
r0_dir = args.r0_dir or Path(args.base_dir) / 'R0'
input_file = find_r0_subrun(run, sub_run, r0_dir)
date = input_file.parent.name
print(f"\n--> Input file: {input_file}")
# verify output dir
calib_dir = base_dir / LEVEL_A_PIXEL_DIR
output_dir = calib_dir / "drs4_time_sampling_from_FF" / date / prod_id
if not output_dir.exists():
print(f"--> Create directory {output_dir}")
output_dir.mkdir(parents=True, exist_ok=True)
# update the default production directory
if pro_symlink:
pro = "pro"
create_pro_symlink(output_dir)
else:
pro = prod_id
run_summary_path = find_run_summary(date, args.base_dir)
print(f"\n--> Use run summary {run_summary_path}")
pedestal_file = find_pedestal_file(pro,
args.pedestal_run,
date=date,
base_dir=args.base_dir)
print(f"\n--> Pedestal file: {pedestal_file}")
time_file = output_dir / f"time_calibration.Run{run:05d}.0000.h5"
print(f"\n--> PRODUCING TIME CALIBRATION in {time_file} ...")
cmd = [
"lstchain_data_create_time_calibration_file",
f"--input-file={input_file}",
f"--output-file={time_file}",
f"--config={config_file}",
f"--run-summary-path={run_summary_path}",
f"--pedestal-file={pedestal_file}",
f"--max-events={stat_events}",
]
if args.no_progress:
cmd.append("--no-progress")
print("\n--> RUNNING...")
subprocess.run(cmd, check=True)
print("\n--> END")