From f56c7317d0e5178a05d071e397745d9f60963f8a Mon Sep 17 00:00:00 2001
From: Daniel Friesel <derf@finalrewind.org>
Date: Thu, 16 Aug 2018 10:20:32 +0200
Subject: add simple keysight .dlog analyzer

---
 lib/keysightdlog.py | 85 +++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 85 insertions(+)
 create mode 100755 lib/keysightdlog.py

(limited to 'lib')

diff --git a/lib/keysightdlog.py b/lib/keysightdlog.py
new file mode 100755
index 0000000..3864d6e
--- /dev/null
+++ b/lib/keysightdlog.py
@@ -0,0 +1,85 @@
+#!/usr/bin/env python3
+
+import lzma
+import numpy as np
+import os
+import struct
+import sys
+import xml.etree.ElementTree as ET
+
+filename = sys.argv[1]
+
+with open(filename, 'rb') as logfile:
+    lines = []
+    line = ''
+
+    if '.xz' in filename:
+        f = lzma.open(logfile)
+    else:
+        f = logfile
+
+    while line != '</dlog>\n':
+        line = f.readline().decode()
+        lines.append(line)
+    xml_header = ''.join(lines)
+    raw_header = f.read(8)
+    data_offset = f.tell()
+    raw_data = f.read()
+
+    xml_header = xml_header.replace('1ua>', 'X1ua>')
+    xml_header = xml_header.replace('2ua>', 'X2ua>')
+    dlog = ET.fromstring(xml_header)
+    channels = []
+    for channel in dlog.findall('channel'):
+        channel_id = int(channel.get('id'))
+        sense_curr = channel.find('sense_curr').text
+        sense_volt = channel.find('sense_volt').text
+        model = channel.find('ident').find('model').text
+        if sense_volt == '1':
+            channels.append((channel_id, model, 'V'))
+        if sense_curr == '1':
+            channels.append((channel_id, model, 'A'))
+
+    num_channels = len(channels)
+    duration = int(dlog.find('frame').find('time').text)
+    interval = float(dlog.find('frame').find('tint').text)
+    real_duration = interval * int(len(raw_data) / (4 * num_channels))
+
+    data = np.ndarray(shape=(num_channels, int(len(raw_data) / (4 * num_channels))), dtype=np.float32)
+
+    iterator = struct.iter_unpack('>f', raw_data)
+    channel_offset = 0
+    measurement_offset = 0
+    for value in iterator:
+        data[channel_offset, measurement_offset] = value[0]
+        if channel_offset + 1 == num_channels:
+            channel_offset = 0
+            measurement_offset += 1
+        else:
+            channel_offset += 1
+
+if int(real_duration) != duration:
+    print('Measurement duration: {:f} of {:d} seconds at {:f} µs per sample'.format(
+        real_duration, duration, interval * 1000000))
+else:
+    print('Measurement duration: {:d} seconds at {:f} µs per sample'.format(
+        duration, interval * 1000000))
+
+for i, channel in enumerate(channels):
+    channel_id, channel_model, channel_type = channel
+    print('channel {:d} ({:s}): min {:f}, max {:f}, mean {:f} {:s}'.format(
+        channel_id, channel_model, np.min(data[i]), np.max(data[i]), np.mean(data[i]),
+        channel_type))
+
+    if i > 0 and channel_type == 'A' and channels[i-1][2] == 'V' and channel_id == channels[i-1][0]:
+        power = data[i-1] * data[i]
+        print('channel {:d} ({:s}): min {:f}, max {:f}, mean {:f} W'.format(
+            channel_id, channel_model, np.min(power), np.max(power), np.mean(power)))
+
+#print(xml_header)
+#print(raw_header)
+#print(channels)
+#print(data)
+#print(np.mean(data[0]))
+#print(np.mean(data[1]))
+#print(np.mean(data[0] * data[1]))
-- 
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