From 2a575bf9b5a4942f60e979161764b9e942699e1e Mon Sep 17 00:00:00 2001
From: Lars Amsel <lars.amsel@ni.com>
Date: Fri, 4 Jun 2021 08:27:50 +0200
Subject: uhd: Add support for the USRP X410
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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>
---
 tools/json_to_zbx_dsa_cal.py | 38 ++++++++++++++++++++++++++++++++++++++
 1 file changed, 38 insertions(+)
 create mode 100755 tools/json_to_zbx_dsa_cal.py

(limited to 'tools')

diff --git a/tools/json_to_zbx_dsa_cal.py b/tools/json_to_zbx_dsa_cal.py
new file mode 100755
index 000000000..cc9bf265d
--- /dev/null
+++ b/tools/json_to_zbx_dsa_cal.py
@@ -0,0 +1,38 @@
+#!/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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