worldbox-observer-mod/scripts/soak-audit-player-log.sh
DazedAnon 188d091166 feat(spectator): focus camera on a five-character story ensemble
- Prioritize MCs, related cast, meaningful disasters, and exceptional events
- Show MC connections in the dossier when following related characters
- Promote rare creatures and recurring antagonists through bounded scoring
- Reduce roster churn and repetitive love/combat coverage
- Add performance telemetry, soak auditing, documentation, and harness coverage
2026-07-24 12:54:06 -05:00

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#!/usr/bin/env bash
# Audit IdleSpectator Watching / DROP / BAD / STATE from Player.log.
#
# Usage:
# ./scripts/soak-audit-player-log.sh # last 120s wall wait, then audit new bytes
# ./scripts/soak-audit-player-log.sh 60 # wait 60s then audit
# ./scripts/soak-audit-player-log.sh --since-bytes N # audit from byte offset (no wait)
# ./scripts/soak-audit-player-log.sh --since-bytes N 60 # wait 60s, then audit from N
# ./scripts/soak-audit-player-log.sh --no-wait # audit empty window from current EOF
#
# Env:
# PLAYER_LOG - override Player.log path
set -euo pipefail
LOG="${PLAYER_LOG:-$HOME/.config/unity3d/mkarpenko/WorldBox/Player.log}"
SECONDS_WAIT=0
SINCE_BYTES=""
while [[ $# -gt 0 ]]; do
case "$1" in
--since-bytes)
SINCE_BYTES="${2:-}"
shift 2
;;
--no-wait)
SECONDS_WAIT=0
shift
;;
-h|--help)
sed -n '2,12p' "$0"
exit 0
;;
*)
if [[ "$1" =~ ^[0-9]+$ ]]; then
SECONDS_WAIT="$1"
else
echo "Unknown arg: $1" >&2
exit 2
fi
shift
;;
esac
done
if [[ ! -f "$LOG" ]]; then
echo "Player.log not found: $LOG" >&2
exit 1
fi
MARKED_FROM_EOF=0
if [[ -z "$SINCE_BYTES" ]]; then
SINCE_BYTES=$(wc -c < "$LOG" | tr -d ' ')
MARKED_FROM_EOF=1
fi
if [[ "$SECONDS_WAIT" -gt 0 ]]; then
echo "Marked offset $SINCE_BYTES; waiting ${SECONDS_WAIT}s (leave Idle Spectator running) ..."
sleep "$SECONDS_WAIT"
elif [[ "$MARKED_FROM_EOF" -eq 1 ]]; then
echo "No wait and no --since-bytes: auditing from current EOF (empty window)."
echo "Tip: ./scripts/soak-audit-player-log.sh 60"
fi
python3 - "$LOG" "$SINCE_BYTES" <<'PY'
import re, sys
from collections import Counter
from pathlib import Path
log_path = Path(sys.argv[1])
armed = int(sys.argv[2])
raw = log_path.read_bytes()[armed:].decode("utf-8", errors="replace")
lines = raw.splitlines()
def harness_noise(ln: str) -> bool:
if "[HARNESS]" not in ln and "[ASSERT]" not in ln:
return False
return "action=" in ln or "batch done" in ln or "inbox reset" in ln
watching = []
pairs = []
drops = []
bads = []
scenes = []
states = []
hitch_details = []
hitch_summaries = []
first_active_line = -1
last = None
for line_index, ln in enumerate(lines):
if harness_noise(ln):
continue
if "IdleSpectator" not in ln:
continue
if "Watching:" in ln:
tip = ln.split("Watching:", 1)[1].strip()
tip = re.sub(r"^\[\d+\]\s*", "", tip)
watching.append(tip)
last = {"tip": tip, "unit": None, "caption": None}
pairs.append(last)
elif "[CAPTION]" in ln and last is not None:
last["caption"] = ln.split("[CAPTION]", 1)[1].strip()
elif "[DROP]" in ln:
drops.append(ln.split("[DROP]", 1)[1].strip())
elif "[BAD]" in ln:
bads.append(ln.split("[BAD]", 1)[1].strip())
elif "Scene end" in ln:
scenes.append(ln.split("Scene end", 1)[1].strip())
elif "[STATE]" in ln:
states.append(ln)
if first_active_line < 0 and re.search(r"idle=True", ln):
first_active_line = line_index
if last is not None and last.get("unit") is None and "unit=" in ln:
last["unit"] = ln.split("unit=", 1)[1].strip()
elif "[HITCH] spike" in ln:
hitch_details.append(ln)
elif "[HITCH] summary" in ln:
hitch_summaries.append(ln)
drop_kinds = Counter()
for d in drops:
drop_kinds[d.split(":", 1)[0].strip()] += 1
focus_true = focus_false = 0
idle_true = idle_false = 0
for s in states:
m = re.search(r"focus=(True|False)", s)
if not m:
continue
if m.group(1) == "False":
focus_false += 1
else:
focus_true += 1
idle = re.search(r"idle=(True|False)", s)
if idle:
if idle.group(1) == "True":
idle_true += 1
else:
idle_false += 1
def bucket(t: str) -> str:
tl = t.lower()
# Combat scale first (before generic fight / vs).
if tl.startswith("duel") or " duel " in f" {tl} " or tl.startswith("duel -"):
return "combat_duel"
if any(tl.startswith(p) for p in ("skirmish", "battle", "mass")) or " mass -" in f" {tl} ":
return "combat_multi"
if any(x in tl for x in ("fighting", "in a fight", " vs ")) and "war -" not in tl and "plot -" not in tl:
return "combat_other"
if "decides to start a new civilization" in tl or "decides to found" in tl:
return "decision_genesis_intent"
if any(x in tl for x in ("new city", "new kingdom", "founds a", "founded")):
return "meta_genesis"
if any(x in tl for x in ("war -", "kingdom", "rebellion")):
return "politics"
if any(x in tl for x in ("love", "smitten", "child", "parenthood", "mourns", "lover")):
return "relationship"
if any(x in tl for x in ("curs", "possess", "dream", "nightmare", "enchant", "stun")):
return "status"
if "new species" in tl or "appear" in tl or "hatch" in tl:
return "discovery"
if "plot" in tl or "decides to" in tl:
return "plot_or_decision"
if "fall" in tl and any(x in tl for x in ("tree", "plant", "bush", "flower", "maple")):
return "object_fall"
return "other"
buckets = Counter(bucket(t) for t in watching)
bucket_sequence = [bucket(t) for t in watching]
scene_reasons = Counter()
for s in scenes:
m = re.match(r"\(([^)]+)\)", s)
if m:
scene_reasons[m.group(1)] += 1
identity = sum(1 for d in drops if "identity_filter" in d)
unpresentable = sum(1 for d in drops if "unpresentable" in d)
placeholder = sum(1 for t in watching if "something interesting" in t.lower())
veg = [t for t in watching if bucket(t) == "object_fall"]
no_focus_bads = sum(1 for b in bads if "no focus" in b.lower())
mismatches = []
sleep_lag = []
for p in pairs:
tip = p["tip"]
unit = (p.get("unit") or "").strip()
cap = p.get("caption") or ""
if "fighting" in tip.lower() and "Sleeping" in cap:
sleep_lag.append((tip, cap))
if not tip or not unit:
continue
if "fighting" not in tip.lower() and "fight of" not in tip.lower():
continue
subj = tip.split(" is ", 1)[0].split(" · ", 1)[0].strip()
u0 = unit.split()[0]
if u0 and u0.lower() not in subj.lower():
mismatches.append((tip, unit, cap[:72]))
print(f"Player.log soak audit")
print(f" log={log_path}")
print(f" since_bytes={armed} chunk_lines={len(lines)}")
print()
print(f"Watching cuts: {len(watching)}")
print(f"Focus BADs: {no_focus_bads} (all BADs={len(bads)})")
print(f"focus True/False: {focus_true}/{focus_false}")
print(f"idle True/False: {idle_true}/{idle_false}")
if first_active_line >= 0:
print(f"first active state: line {first_active_line + 1}/{len(lines)}")
print(f"identity_filter: {identity}")
print(f"unpresentable: {unpresentable}")
print(f"placeholder tips: {placeholder}")
print(f"object falls: {len(veg)}")
print(f"fight tip/focus mismatches: {len(mismatches)}")
print(f"fighting+Sleeping lag: {len(sleep_lag)}")
active_hitches = [h for h in hitch_details if "idle=on" in h]
def metric_max(rows, name):
values = []
pattern = re.compile(rf"\b{re.escape(name)}=([0-9.]+)ms")
for row in rows:
match = pattern.search(row)
if match:
values.append(float(match.group(1)))
return max(values, default=0.0)
summary_spikes = 0
summary_max_dt = 0.0
summary_max_dir = 0.0
summary_max_disc = 0.0
summary_max_cap = 0.0
for row in hitch_summaries:
if "idle=on" not in row:
continue
spike = re.search(r"\bspikes=(\d+)", row)
dt = re.search(r"\bmaxDt=([0-9.]+)ms", row)
direct = re.search(r"\bmaxDir=([0-9.]+)ms", row)
discovery = re.search(r"\bmaxDisc=([0-9.]+)ms", row)
caption = re.search(r"\bmaxCap=([0-9.]+)ms", row)
if spike:
summary_spikes += int(spike.group(1))
if dt:
summary_max_dt = max(summary_max_dt, float(dt.group(1)))
if direct:
summary_max_dir = max(summary_max_dir, float(direct.group(1)))
if discovery:
summary_max_disc = max(summary_max_disc, float(discovery.group(1)))
if caption:
summary_max_cap = max(summary_max_cap, float(caption.group(1)))
print(
"Hitches active: "
f"detail={len(active_hitches)} summary_spikes={summary_spikes} "
f"maxDt={max(summary_max_dt, metric_max(active_hitches, 'dt')):.1f}ms "
f"dir={max(summary_max_dir, metric_max(active_hitches, 'dir')):.1f}ms "
f"disc={max(summary_max_disc, metric_max(active_hitches, 'disc')):.1f}ms "
f"cap={max(summary_max_cap, metric_max(active_hitches, 'cap')):.1f}ms "
f"scan={metric_max(active_hitches, 'scanMs'):.1f}ms "
f"soft={metric_max(active_hitches, 'softMs'):.1f}ms "
f"scheduler={metric_max(active_hitches, 'schedulerMs'):.1f}ms"
)
print()
if buckets:
print("Buckets:")
for k, v in buckets.most_common():
print(f" {k:16} {v}")
print()
if drop_kinds:
print("Drop kinds:")
for k, v in drop_kinds.most_common(12):
print(f" {k:24} {v}")
print()
if scene_reasons:
print("Scene ends:")
for k, v in scene_reasons.most_common():
print(f" {k:16} {v}")
print()
if watching:
print("Tips:")
for t in watching:
print(f" - {t}")
print()
if mismatches:
print("Fight tip/focus mismatches:")
for tip, unit, cap in mismatches:
print(f" tip={tip!r} focus={unit!r} caption={cap!r}")
print()
if sleep_lag:
print("Fight tip + Sleeping caption:")
for tip, cap in sleep_lag:
print(f" tip={tip!r} caption={cap!r}")
print()
genesis_intent = buckets.get("decision_genesis_intent", 0)
duel_n = buckets.get("combat_duel", 0)
multi_n = buckets.get("combat_multi", 0)
combat_total = duel_n + multi_n + buckets.get("combat_other", 0)
combat_share = combat_total / len(watching) if watching else 0.0
max_combat_run = 0
combat_run = 0
for kind in bucket_sequence:
if kind.startswith("combat_"):
combat_run += 1
max_combat_run = max(max_combat_run, combat_run)
else:
combat_run = 0
relationship_n = buckets.get("relationship", 0)
unique_tips = len(set(watching))
print(
f"Variety: duel={duel_n} multi={multi_n} combat_total={combat_total} "
f"combat_share={combat_share:.1%} max_combat_run={max_combat_run} "
f"relationship={relationship_n} unique_tips={unique_tips}/{len(watching)} "
f"genesis_intent={genesis_intent}"
)
if genesis_intent:
print(" NOTE: decision_genesis_intent tips should be 0 after 0.28.28 (meta outcomes only).")
if combat_total >= 4 and multi_n == 0 and duel_n >= 3:
print(" NOTE: combat tips are Duel-heavy; multi scrap may be scarce in this world.")
if first_active_line >= 0 and len(lines) > 0 and first_active_line > len(lines) * 0.25:
print(" NOTE: Idle Spectator activated late; most of this audit window is not a directed soak.")
if len(watching) >= 20 and combat_share > 0.35:
print(" NOTE: combat exceeds the story-first release target of 35%.")
if max_combat_run > 3:
print(" NOTE: more than three consecutive combat cuts; inspect critical bypasses and episode boundaries.")
print()
editorial_pacing_ok = len(watching) < 20 or combat_share <= 0.35
sample_valid = bool(watching) and idle_true > 0 and first_active_line >= 0
ok = (
sample_valid
and no_focus_bads == 0
and focus_false == 0
and idle_false == 0
and identity == 0
and placeholder == 0
and len(veg) == 0
and len(mismatches) == 0
and len(sleep_lag) == 0
and genesis_intent == 0
and editorial_pacing_ok
)
if not sample_valid:
print(" NOTE: no valid active spectator sample was captured.")
print("VERDICT:", "PASS" if ok else "REVIEW")
sys.exit(0 if ok else 1)
PY