bump v0.90.0

tools/analyze_sessions.py

@@ -0,0 +1,32 @@
+#!/usr/bin/env python3
+import sqlite3, json
+db = sqlite3.connect("/opt/elmer/elmer.db")
+for sid in [41, 40]:
+    r = db.execute("SELECT id, created_at, raw_responses FROM sessions WHERE id=?", (sid,)).fetchone()
+    print(f"\n=== SESSION #{r[0]}  {r[1]} ===")
+    if not r[2]: print("  (no raw data)"); continue
+    data = json.loads(r[2])
+    print(f"  Total responses: {len(data)}")
+    cmds = {}
+    for d in data:
+        c = d.get("cmd","?")
+        s = d.get("step_id","?")
+        raw = d.get("raw","")
+        dec = d.get("decoded","")
+        key = f"{s} ({c})"
+        if key not in cmds:
+            cmds[key] = {"cnt": 0, "err": 0, "empty": 0, "ok": 0, "samples": []}
+        cmds[key]["cnt"] += 1
+        if not raw or raw in ["?","(err)","NO DATA"]:
+            cmds[key]["err"] += 1
+        elif raw == "":
+            cmds[key]["empty"] += 1
+        else:
+            cmds[key]["ok"] += 1
+        if len(cmds[key]["samples"]) < 2:
+            cmds[key]["samples"].append(f"{raw}  ->  {dec}")
+    for k, v in sorted(cmds.items()):
+        print(f"  {k:30s}  total={v['cnt']:3d}  ok={v['ok']}  err={v['err']}  empty={v['empty']}")
+        for s in v["samples"]:
+            print(f"    {s}")
+db.close()