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#!/usr/bin/env python3
#
# Copyright 2020 Ettus Research, a National Instruments Brand
#
# SPDX-License-Identifier: GPL-3.0-or-later
#
import uhd
import json
import pathlib
def convert(name):
print("Convert {} ... ".format(name), end='')
with open(name) as jsonfile:
data = json.load(jsonfile)
num_steps = len(data['freq_gain_dsa_map'][0]['gains'][0]['steps'])
metadata = data['metadata']
if num_steps == 2:
cal = uhd.usrp.cal.ZbxTxDsaCal(metadata['name'], metadata.get('serial', ''), metadata['timestamp'])
elif num_steps == 3:
cal = uhd.usrp.cal.ZbxRxDsaCal(metadata['name'], metadata.get('serial', ''), metadata['timestamp'])
else:
raise ValueError("Invalid number of steps {}".format(num_steps))
for band in data["freq_gain_dsa_map"]:
print(band['name'], end=',')
gain_indizes = [i['steps'] for i in band['gains']]
print(len(gain_indizes), end=' ')
cal.add_frequency_band(band['max_freq'], band['name'], gain_indizes)
rc_file = pathlib.Path(name).stem + ".cal"
with open(rc_file, "wb") as f:
f.write(cal.serialize())
print('Done')
if __name__ == "__main__":
for filename in pathlib.Path.cwd().glob('*.json'):
convert(filename)
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