def _do_read(b_table_file, d_table_file, bufr_file, read_func):
b_file = codecs.open(b_table_file, 'rb', 'utf-8')
with b_file:
d_file = codecs.open(d_table_file, 'rb', 'utf-8')
with d_file:
table = libbufr.read_tables(b_file, d_file)
f = open(bufr_file, 'rb')
with f:
return read_func(f, table)
def _do_read(b_table_file, d_table_file, bufr_file, read_func):
b_file = codecs.open(b_table_file, 'rb', 'utf-8')
with b_file:
d_file = codecs.open(d_table_file, 'rb', 'utf-8')
with d_file:
table = libbufr.read_tables(b_file, d_file)
f = open(bufr_file, 'rb')
with f:
return read_func(f, table)
from __future__ import print_function
from __future__ import absolute_import
import bufrpy
from bufrpy.template import safnwc
from bufrpy.table import libbufr
import json
import sys
import time
import codecs
bufr_fname = None
if len(sys.argv) == 4:
# b-table and d-table
table = libbufr.read_tables(codecs.open(sys.argv[1], 'rb', 'utf-8'), codecs.open(sys.argv[2], 'rb', 'utf-8'))
bufr_fname = sys.argv[3]
else:
# either just b-table or a template file
bufr_fname = sys.argv[2]
try:
# First try reading as safnwc template
table = safnwc.read_template(codecs.open(sys.argv[1], 'rb', 'utf-8'))
except Exception as e:
# Try reading as libbufr table
table = libbufr.read_tables(codecs.open(sys.argv[1], 'rb', 'utf-8'))
msg = bufrpy.decode_file(open(bufr_fname, 'rb'), table)
out = json.dumps(bufrpy.to_json(msg))
dec = bufrpy.from_json(json.loads(out))
print(out)
for time in subset.values[-1]:
data.append(decode_time(time))
df = pd.DataFrame(data)
df.loc[df['lon'] - min(df['lon']) > 90]['lon'] = df['lon'] - 360.
df[INTERP_KEYS] = df[INTERP_KEYS].interpolate().where(
df[INTERP_KEYS].bfill().notnull())
df.loc[(df['lon'] <= -180), 'lon'] = df['lon'] + 360.
df.loc[(df['lon'] > 180), 'lon'] = df['lon'] - 360.
alldata.append(df)
return alldata
#//TODO Deal with output file name
if __name__ == '__main__':
table = libbufr.read_tables(codecs.open(BUFR_TABLES[0], 'rb', 'utf-8'),
codecs.open(BUFR_TABLES[1], 'rb', 'utf-8'))
bufr_fname = '/ct12/abrammer/graphics/ecmf_tc_data/data/A_JSXX01ECEP141200_C_ECMP_20170714120000_tropical_cyclone_track_FERNANDA_-118p3degW_11degN_bufr4.bin'
bufr_out = 'test.dat' #bufr_fname.replace('.bin', '.dat')
bufr_fname = sys.argv[1]
print(f"Converting {bufr_fname}")
msg = bufrpy.decode_file(open(bufr_fname, 'rb'), table)
alldata = bufr_to_data(msg)
with open(bufr_out, 'a') as fout:
for subset in alldata:
basin = which_basin(subset)
for index, datum in subset.iterrows():
if (pd.notnull(datum.get_value('lon'))):
fout.write(
atcf.line_out(basin,
int(subset['STORM IDENTIFIER'][0][:2]),
