1 files changed, 77 insertions, 0 deletions
diff --git a/utils/tracepoints/analyze-ipa-trace.py b/utils/tracepoints/analyze-ipa-trace.py
new file mode 100755
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+++ b/utils/tracepoints/analyze-ipa-trace.py
@@ -0,0 +1,77 @@
+#!/usr/bin/env python3
+# SPDX-License-Identifier: GPL-2.0-or-later
+# Copyright (C) 2020, Google Inc.
+#
+# Author: Paul Elder <paul.elder@ideasonboard.com>
+#
+# analyze-ipa-trace.py - Example of how to extract information from libcamera lttng traces
+
+import argparse
+import bt2
+import statistics as stats
+import sys
+
+# pipeline -> {function -> stack(timestamps)}
+timestamps = {}
+
+# pipeline:function -> samples[]
+samples = {}
+
+def main(argv):
+    parser = argparse.ArgumentParser(
+            description='A simple analysis script to get statistics on time taken for IPA calls')
+    parser.add_argument('-p', '--pipeline', type=str,
+                        help='Name of pipeline to filter for')
+    parser.add_argument('trace_path', type=str,
+                        help='Path to lttng trace (eg. ~/lttng-traces/demo-20201029-184003)')
+    args = parser.parse_args(argv[1:])
+
+    traces = bt2.TraceCollectionMessageIterator(args.trace_path)
+    for msg in traces:
+        if type(msg) is not bt2._EventMessageConst or \
+           'pipeline_name' not in msg.event.payload_field or \
+           (args.pipeline is not None and \
+            msg.event.payload_field['pipeline_name'] != args.pipeline):
+            continue
+
+        pipeline = msg.event.payload_field['pipeline_name']
+        event = msg.event.name
+        func = msg.event.payload_field['function_name']
+        timestamp_ns = msg.default_clock_snapshot.ns_from_origin
+
+        if event == 'libcamera:ipa_call_begin':
+            if pipeline not in timestamps:
+                timestamps[pipeline] = {}
+            if func not in timestamps[pipeline]:
+                timestamps[pipeline][func] = []
+            timestamps[pipeline][func].append(timestamp_ns)
+
+        if event == 'libcamera:ipa_call_end':
+            ts = timestamps[pipeline][func].pop()
+            key = f'{pipeline}:{func}'
+            if key not in samples:
+                samples[key] = []
+            samples[key].append(timestamp_ns - ts)
+
+    # Compute stats
+    rows = []
+    rows.append(['pipeline:function', 'min', 'max', 'mean', 'stddev'])
+    for k, v in samples.items():
+        mean = int(stats.mean(v))
+        stddev = int(stats.stdev(v))
+        minv = min(v)
+        maxv = max(v)
+        rows.append([k, str(minv), str(maxv), str(mean), str(stddev)])
+
+    # Get maximum string width for every column
+    widths = []
+    for i in range(len(rows[0])):
+        widths.append(max([len(row[i]) for row in rows]))
+
+    # Print stats table
+    for row in rows:
+        fmt = [row[i].rjust(widths[i]) for i in range(1, 5)]
+        print('{} {} {} {} {}'.format(row[0].ljust(widths[0]), *fmt))
+
+if __name__ == '__main__':
+    sys.exit(main(sys.argv))