Capture current mission, AI, map and administration development

Include the current addon, terrain integrations, tools, regression tests and recorded development evidence.

tests/native/ai_delegation/summarize.py

@@ -0,0 +1,42 @@
+#!/usr/bin/env python3
+"""Summarize measured callback deltas, not estimated CPU savings."""
+import argparse
+import json
+import re
+from pathlib import Path
+
+
+def summarize(paths):
+    groups = {}
+    for path in paths:
+        for line in path.read_text(errors='replace').splitlines():
+            if 'AID SAMPLE ' not in line or 'missing=1' in line:
+                continue
+            fields = dict(re.findall(r'(\w+)=([^\s\']+)', line))
+            key = (fields['side'], int(fields['stage']), fields['kind'])
+            groups.setdefault(key, []).append(fields)
+    result = []
+    for (side, stage, kind), samples in sorted(groups.items()):
+        # Trim both edges: ownership and the phase-label RPC can arrive on different frames.
+        stable = samples[2:-2]
+        if len(stable) < 2:
+            continue
+        first, last = stable[0], stable[-1]
+        row = dict(side=side, stage=stage, kind=kind, samples=len(stable),
+                   wall_ms=int(last['wall'])-int(first['wall']))
+        for field in ('role','owner','master','ownerProxy','remoteProxy','control','agent','controlActive','agentActive','lod'):
+            row[field] = sorted({int(s[field]) for s in stable})
+        for field in ('perception','bt','utility','groupBT'):
+            values = [int(s[field]) for s in stable]
+            row[field] = dict(first=values[0], last=values[-1],
+                              delta=values[-1]-values[0] if min(values)>=0 else None,
+                              monotonic=all(a<=b for a,b in zip(values,values[1:])))
+        result.append(row)
+    return result
+
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument('logs', nargs='+', type=Path)
+    args = parser.parse_args()
+    print(json.dumps(summarize(args.logs), indent=2))