"""Inspect run output quality."""
import json, re
PATH = "/mnt/d/Resonance_Engine/traj/regime_20260608T133638/fractonaut_observations.jsonl"
ents = [json.loads(l) for l in open(PATH)]
print(f"total entries: {len(ents)}")

# gemma was active until ~15:09 (PID 6820 killed during ts 15:08:xx)
import time
SWAP_TS = time.mktime(time.strptime("2026-06-08 15:09:00", "%Y-%m-%d %H:%M:%S"))
qwen = [e for e in ents if (e.get("response_wall") or 0) > SWAP_TS]
print(f"post-swap (qwen) entries: {len(qwen)}")

lens = sorted(len(e.get("response") or "") for e in qwen)
print(f"length min/med/max: {lens[0]} / {lens[len(lens)//2]} / {lens[-1]}")

no_anchor = sum(1 for e in qwen if "cycle 11943500" not in (e.get("response") or ""))
phys = sum(1 for e in qwen if re.search(r"\b(buy|sell|injection|skew|shear|laminar|turbulent|vortic|stress|isotropic|decoupl)\b",
                                          (e.get("response") or ""), re.I))
print(f"no '11943500' anchor:           {no_anchor}/{len(qwen)}")
print(f"mentions physics/market words:  {phys}/{len(qwen)}")

# Counter on bigrams to find templating
from collections import Counter
starts = Counter()
for e in qwen:
    r = (e.get("response") or "").strip()
    if r:
        starts[" ".join(r.split()[:4])] += 1
print("\n--- 8 most common opening 4-grams ---")
for s, c in starts.most_common(8):
    print(f"  {c:4d}  {s}")

print("\n--- 4 sample transition responses ---")
trans = [e for e in qwen if e.get("context", {}).get("event") == "regime_transition"]
for e in trans[:4]:
    ctx = e["context"]
    print(f"[{ctx.get('from')}->{ctx.get('to')}  min={ctx.get('minute')}  "
          f"asym={ctx.get('asym',0):.1f}  coh={ctx.get('coh',0):.4f}  "
          f"tcz={ctx.get('trade_count_z')}  bz={ctx.get('buy_z')}  sz={ctx.get('sell_z')}]")
    print(f"  {(e.get('response') or '')[:600]}")
    print()

print("--- arm_T_end response ---")
end = [e for e in qwen if e.get("context", {}).get("event") == "arm_T_end"]
if end:
    print((end[0].get("response") or "")[:1200])