if csvrow[int(catcm.cfg_data_column_catid)] == args.catid
]
# If no rows were retrieved, warn user that cat is not represented in the current data
if not csvrows:
sys.exit('No CSV data was found for cat with id {}.'.format(
args.catid))
# Create a new Trail object, which is a series of fixes
trail = catfc.FCTrail(args.catid, args.radius, args.time_cutoff,
args.minimum_count, args.minimum_stay)
# For every row, create a Fix object and add it to the Trail
for csvrow in csvrows:
try:
new_fix = catcm.Fix(csvrow, sun_metrics)
except IndexError:
sys.stderr.write(
'CSV row doesn’t have expected number of columns: {}\n'.format(
csvrow))
continue
except:
sys.stderr.write(
'CSV row doesn’t look like data: {}\n'.format(csvrow))
continue
# Add the fix to the trail
trail.fixes.append(new_fix)
# Limit by date, if requested
if args.start_date:
args.radius = catcm.constrain_integer(args.radius, 0, 1000)
args.time_cutoff = catcm.constrain_integer(args.time_cutoff, 0, 31536000)
#print('Process the data file...')
# Open and process the data file
with open(args.datafile_path, 'rt') as datafile:
csvrows = csvreader(datafile)
# Create a new DataPool object to work with
datapool = catms.MSDataPool(args.radius, args.time_cutoff)
# For every row, create a Fix object and it to the DataPool
for csvrow in csvrows:
try:
new_fix = catcm.Fix(csvrow)
except IndexError:
sys.stderr.write(
'CSV row doesn’t have expected number of columns: {}\n'.format(
csvrow))
continue
except:
sys.stderr.write(
'CSV row doesn’t look like data: {}\n'.format(csvrow))
continue
# Add the fix to the datapool
datapool.fixes.append(new_fix)
#print('Find all clusters in the data file...')