#!/usr/bin/env python import sys import os import siteUtils import metUtils from flatnessTask import flatnessTask raft_id = siteUtils.getUnitId() # Find the TS5 metrology scan data by constructing the name of the data-taking step acqjobname = siteUtils.getJobName().replace('_Analysis', '') if ("Room_Temp_Measurement" in acqjobname and not "After" in acqjobname): acqjobname = "Pump_and_" + acqjobname print('flatness_ts5:') print(acqjobname) print(siteUtils.getProcessName(acqjobname)) print('----') # siteUtils returns a list with one member; # here take the first (and only) member infile = siteUtils.dependency_glob('*.csv', jobname=siteUtils.getProcessName(acqjobname), description='')[0] print "infile = %s" % infile flatnessTask(raft_id, infile, dtype='TS5', pickle_file='flatness_ts5.pickle')
#flat_file = siteUtils.dependency_glob('*/*/*_AbsHeight*.DAT', direcs = siteUtils.dependency_glob('*', jobname=siteUtils.getProcessName('OGP_Dimensional_Metrology_Upload'),description='OGP Absolute Height scan:') print "direcs:" print direcs print "------------------------------" dimdir = "" for line in direcs : if "DimensionalMetrology" in line : dimdir = line print "dimensional metrology directory = %s" % dimdir flat_file = "" for root, dirs, flat_files in os.walk(dimdir): for file in flat_files: if file.endswith(".DAT"): flat_file=os.path.join(root, file) #flat_file = flat_file[0] # siteUtils returns flat_file as a list with one member; # here take the first (and only) member print "flat_file = %s" % flat_file # The dtype below indicates the source of the data, which is always OGP # for sensors measured at BNL flatnessTask(sensor_id, flat_file, dtype='OGP', pickle_file='flatness.pickle')
#!/usr/bin/env python import siteUtils import metUtils from flatnessTask import flatnessTask sensor_id = siteUtils.getUnitId() ccd_vendor = siteUtils.getCcdVendor() patterns = dict(e2v='*CT100*.csv', ITL='*.txt') # # Find the vendor metrology scan data from the Data Catalog. Sort the # results in case of multiple vendor ingests so that we can use the # most recent one based on SR-RCV-1 job id, assuming the filenames # are the same for each delivery. # met_file = metUtils.get_met_scan_data(sensor_id, patterns[ccd_vendor], root_folder='LSST/mirror/SLAC-prod/prod', sort=True)[-1] flatnessTask(sensor_id, met_file, dtype=ccd_vendor, pickle_file='flatness.pickle')
#!/usr/bin/env python import argparse from flatnessTask import flatnessTask parser = argparse.ArgumentParser(description='Sensor flatness analysis.') parser.add_argument('infile', help='Data file of xyz tuples containing sensor metrology points') parser.add_argument('sensor_id', help='LSST ID number of sensor') parser.add_argument('--datatype', type=str, default='OGP', help='Formatting of input file: OGP, e2v, ITL') args = parser.parse_args() flatnessTask(args.sensor_id, args.infile, dtype=args.datatype)