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Co-authored-by: Lars Amsel <lars.amsel@ni.com> Co-authored-by: Michael Auchter <michael.auchter@ni.com> Co-authored-by: Martin Braun <martin.braun@ettus.com> Co-authored-by: Paul Butler <paul.butler@ni.com> Co-authored-by: Cristina Fuentes <cristina.fuentes-curiel@ni.com> Co-authored-by: Humberto Jimenez <humberto.jimenez@ni.com> Co-authored-by: Virendra Kakade <virendra.kakade@ni.com> Co-authored-by: Lane Kolbly <lane.kolbly@ni.com> Co-authored-by: Max Köhler <max.koehler@ni.com> Co-authored-by: Andrew Lynch <andrew.lynch@ni.com> Co-authored-by: Grant Meyerhoff <grant.meyerhoff@ni.com> Co-authored-by: Ciro Nishiguchi <ciro.nishiguchi@ni.com> Co-authored-by: Thomas Vogel <thomas.vogel@ni.com>
39 lines
1.3 KiB
Python
Executable File
39 lines
1.3 KiB
Python
Executable File
#!/usr/bin/env python3
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#
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# Copyright 2020 Ettus Research, a National Instruments Brand
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#
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# SPDX-License-Identifier: GPL-3.0-or-later
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#
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import uhd
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import json
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import pathlib
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def convert(name):
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print("Convert {} ... ".format(name), end='')
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with open(name) as jsonfile:
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data = json.load(jsonfile)
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num_steps = len(data['freq_gain_dsa_map'][0]['gains'][0]['steps'])
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metadata = data['metadata']
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if num_steps == 2:
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cal = uhd.usrp.cal.ZbxTxDsaCal(metadata['name'], metadata.get('serial', ''), metadata['timestamp'])
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elif num_steps == 3:
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cal = uhd.usrp.cal.ZbxRxDsaCal(metadata['name'], metadata.get('serial', ''), metadata['timestamp'])
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else:
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raise ValueError("Invalid number of steps {}".format(num_steps))
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for band in data["freq_gain_dsa_map"]:
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print(band['name'], end=',')
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gain_indizes = [i['steps'] for i in band['gains']]
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print(len(gain_indizes), end=' ')
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cal.add_frequency_band(band['max_freq'], band['name'], gain_indizes)
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rc_file = pathlib.Path(name).stem + ".cal"
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with open(rc_file, "wb") as f:
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f.write(cal.serialize())
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print('Done')
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if __name__ == "__main__":
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for filename in pathlib.Path.cwd().glob('*.json'):
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convert(filename)
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