def __init__(self, vehicle, slack, args):
Thread.__init__(self)
self.q = queue.Queue(maxsize=0)
self.vehicle = vehicle
self.slack = slack
self.args = args
self.pw = lrauvNc4ToNetcdf.InterpolatorWriter()
# Assume that the database has already been created with description and terrain information,
# so use minimal arguments in constructor
self.cl = CANONLoader(args.database, args.campaign)
self.cl.dbAlias = args.database
self.cl.campaignName = args.campaign
".*.js$", ".*.kml$", ".*.log$"
]
c = Crawl(os.path.join(url, 'catalog.xml'),
select=[files],
debug=False,
skip=skips)
for d in c.datasets:
logger.debug('Found %s', d.id)
urls = [
s2.get("url") for d in c.datasets for s2 in d.services
if s2.get("service").lower() == "opendap"
]
pw = lrauvNc4ToNetcdf.InterpolatorWriter()
coord = {}
for p in args.plotparms:
coord[p] = {
'time': p + '_time',
'latitude': p + '_latitude',
'longitude': p + '_longitude',
'depth': p + '_depth'
}
title = 'MBARI LRAUV Survey - ' + platformName
# Look in time order - oldest to newest and skip over data that doesn't include the starting year to speed up the loads
for url in sorted(urls):
