blob: b3e6472bac2267839407898e45ecb4ba779d3138 [file] [log] [blame]
#!/usr/bin/env python3
# SPDX-License-Identifier: GPL-2.0+
# vim: ts=2:sw=2:et:tw=80:nowrap
from os import path
import os, csv
from itertools import chain
from csv_collection import CSVCollection
from ni_names import value_to_name
import ni_values
CSV_DIR = 'csv'
def iter_src_values(D):
return D.items()
def iter_src(D):
for dest in D:
yield dest, 1
def create_csv(name, D, src_iter):
# have to change dest->{src:val} to src->{dest:val}
fieldnames = [value_to_name[i] for i in sorted(D.keys())]
fieldnames.insert(0, CSVCollection.source_column_name)
S = dict()
for dest, srcD in D.items():
for src,val in src_iter(srcD):
S.setdefault(src,{})[dest] = val
S = sorted(S.items(), key = lambda src_destD : src_destD[0])
csv_fname = path.join(CSV_DIR, name + '.csv')
with open(csv_fname, 'w') as F_csv:
dR = csv.DictWriter(F_csv, fieldnames, delimiter=';', quotechar='"')
dR.writeheader()
# now change the json back into the csv dictionaries
rows = [
dict(chain(
((CSVCollection.source_column_name,value_to_name[src]),),
*(((value_to_name[dest],v),) for dest,v in destD.items())
))
for src, destD in S
]
dR.writerows(rows)
def to_csv():
for d in ['route_values', 'device_routes']:
try:
os.makedirs(path.join(CSV_DIR,d))
except:
pass
for family, dst_src_map in ni_values.ni_route_values.items():
create_csv(path.join('route_values',family), dst_src_map, iter_src_values)
for device, dst_src_map in ni_values.ni_device_routes.items():
create_csv(path.join('device_routes',device), dst_src_map, iter_src)
if __name__ == '__main__':
to_csv()