auto: hourly snapshot 2026-06-08 15:34

inspect_fracto_jsonl.py

@@ -1,17 +1,66 @@
-"""Quick inspector for fractonaut_observations.jsonl"""
-import json, sys
-p = sys.argv[1] if len(sys.argv) > 1 else \
-    "/mnt/d/Resonance_Engine/traj/regime_20260608T133059/fractonaut_observations.jsonl"
-entries = [json.loads(l) for l in open(p)]
-print(f"=== {len(entries)} entries ===\n")
-for i, e in enumerate(entries[:4]):
-    ev = e.get("context", {}).get("event", "?")
-    print(f"--- [{i}] event={ev}  elapsed={e.get('elapsed_s', '?'):.1f}s ---")
-    print(f"Q: {e['question'][:300]}")
-    resp = e.get("response") or e.get("error") or ""
-    print(f"A: {resp[:500]}\n")
-print(f"--- last entry [{len(entries)-1}] ---")
-e = entries[-1]
-print(f"event={e.get('context',{}).get('event','?')}")
-print(f"Q: {e['question'][:300]}")
-print(f"A: {(e.get('response') or e.get('error') or '')[:600]}")
+"""Survey Fractonaut output for interesting/distinctive content."""
+import json, sys, re
+from collections import Counter
+
+def load(p):
+    out = []
+    with open(p) as f:
+        for line in f:
+            line = line.strip()
+            if not line: continue
+            try: out.append(json.loads(line))
+            except: pass
+    return out
+
+def text_of(e):
+    return (e.get("response") or e.get("observation") or e.get("error") or "").strip()
+
+paths = sys.argv[1:] or [
+    "/mnt/d/Resonance_Engine/traj/regime_20260608T133638/fractonaut_observations.jsonl",
+    "/mnt/d/Resonance_Engine/fractonaut_chronicle.jsonl",
+]
+
+for p in paths:
+    print("=" * 78)
+    print(f"FILE: {p}")
+    print("=" * 78)
+    es = load(p)
+    print(f"entries: {len(es)}")
+    texts = [text_of(e) for e in es]
+    texts = [t for t in texts if t]
+    print(f"non-empty: {len(texts)}")
+    lens = sorted(len(t) for t in texts)
+    if not lens:
+        print("(no text)\n"); continue
+    print(f"length min/med/max: {lens[0]} / {lens[len(lens)//2]} / {lens[-1]}")
+
+    boiler = sum(1 for t in texts if re.match(r"^[Aa]symmetry", t))
+    idle = sum(1 for t in texts if t.lower().startswith("idle"))
+    cycle_ref = sum(1 for t in texts if "cycle 11943500" in t)
+    market_words = sum(1 for t in texts if re.search(r"\b(market|trade|buy|sell|price|volatility|liquidity|order|volume|spike|absorb|bid|ask|flow)\b", t, re.I))
+    pattern_words = sum(1 for t in texts if re.search(r"\b(resembl|similar|recall|earlier|history|like .*(before))\b", t, re.I))
+    print(f"start with 'asymmetry':   {boiler}/{len(texts)}")
+    print(f"start with 'idle':        {idle}/{len(texts)}")
+    print(f"reference cycle 11943500: {cycle_ref}/{len(texts)}")
+    print(f"mention market/trade words: {market_words}/{len(texts)}")
+    print(f"mention pattern/recall:     {pattern_words}/{len(texts)}")
+
+    pairs = sorted(zip([len(t) for t in texts], texts), reverse=True)
+    print("\n--- 5 longest responses ---")
+    for L, t in pairs[:5]:
+        print(f"[{L} chars] {t[:800]}")
+        print()
+
+    novel = [t for t in texts if not re.match(r"^[Aa]symmetry", t) and not t.lower().startswith("idle")]
+    print(f"\n--- {len(novel)} non-boilerplate (showing 10) ---")
+    for t in novel[:10]:
+        print(f"  - {t[:400]}")
+
+    words = Counter()
+    for t in texts:
+        for w in re.findall(r"[a-zA-Z]+", t.lower()):
+            if len(w) >= 5: words[w] += 1
+    print("\n--- top 20 words (len>=5) ---")
+    for w, c in words.most_common(20):
+        print(f"  {c:5d}  {w}")
+    print()