year = int(args[0])
month = int(args[1])
day = int(args[2])
if len(args) > 3: newa_base_time = datetime(year, month, day, int(args[3]))
else: newa_base_time = datetime(year, month, day, 23)
# otherwise, latest_possible report date is yesterday
else:
newa_base_time = today - ONE_DAY
test_last_day = dateAsInt(newa_base_time)
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
criteria = ('bbox', 'county', 'name', 'network', 'sid', 'state')
factory = ObsnetDataFactory(options)
criteria = factory._validCriteria(options, criteria)
metadata = list(factory._parseMetadata(options.metadata))
if 'datasets' not in metadata: metadata.append('datasets')
if 'first_hour' not in metadata: metadata.append('first_hour')
if 'last_report' not in metadata: metadata.append('last_report')
if 'name' not in metadata: metadata.append('name')
if 'sid' not in metadata: metadata.append('sid')
if 'state' not in metadata: metadata.append('state')
if 'ucanid' not in metadata: metadata.append('ucanid')
for station in factory.getIndexedStations(metadata, criteria, options.sort_by):
if test_index:
prev_last_report = station['last_report']
prev_last_day = prev_last_report / 100
if prev_last_day != test_last_day:
print test_msg % station
else:
sort_by = options.sort_by
if len(args) > 0:
dump_filepath = os.path.normpath(args[0])
filepath, ext = os.path.splitext(dump_filepath)
if ext in ('.txt', '.tsv'): as_tsv_file = True
else: as_tsv_file = False
else:
as_tsv_file = options.as_tsv_file
dump_filepath = 'station_index_dump'
if as_tsv_file: dump_filepath += '.tsv'
else: dump_filepath += '.py'
factory = ObsnetDataFactory(options)
criteria = factory._validCriteria(options, ('network', 'state'))
metadata = factory._parseMetadata(options.metadata)
dump_file = open(dump_filepath, 'w')
# tab separated values file
if as_tsv_file:
dump_file.write('\t'.join(metadata))
for station in factory.getIndexedStations(metadata, criteria, sort_by):
line = '\t'.join([str(station[key]) for key in metadata])
dump_file.write('\n%s' % line)
# importable python object file
else:
dump_file.write('(')
for station in factory.getIndexedStations(metadata, criteria, sort_by):
if datasets_as_tuple:
station['datasets'] = tuple([
dataset.strip() for dataset in station['datasets'].split(',')
