Files
agentic-kvc/scripts/b3_analyze.sh
Gahow Wang df3249925b B3 analyze: prefer per-policy engine_state over slicing shared dir
The hot-sweep variant of B3 writes one shared engine_state across
all policies; the isolated variant writes per-policy. Previously
slice_engine_state.py was called unconditionally and would
overwrite an isolated policy's real data with an empty slice (the
isolated policy's run-window doesn't overlap with the shared dir's
contents).

Now we check the policy directory's engine_state for any non-empty
engine_*.jsonl first; if present, use it directly; else slice from
the shared one as before.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-25 22:19:43 +08:00

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#!/usr/bin/env bash
# Per-policy joined_analysis driver for a completed B3 sweep.
#
# For each policy directory under <SWEEP_DIR>:
# - slice engine_state by run_window.json
# - run joined_analysis.py to emit interference / hotspot / reuse
# / failure breakdown
# Then emit b3_policy_comparison.json aggregating one row per policy.
set -euo pipefail
ROOT="${ROOT:-/home/admin/cpfs/wjh/agentic-kv}"
VENV="$ROOT/.venv/bin"
SWEEP_DIR="${1:?usage: $0 <sweep_dir>}"
WORKER_MAP="http://127.0.0.1:8000=engine_0,http://127.0.0.1:8001=engine_1,http://127.0.0.1:8002=engine_2,http://127.0.0.1:8003=engine_3,http://127.0.0.1:8004=engine_4,http://127.0.0.1:8005=engine_5,http://127.0.0.1:8006=engine_6,http://127.0.0.1:8007=engine_7"
_has_engine_data() {
# Return 0 (true) if $1/*.jsonl contains any non-empty file.
local dir="$1"
[ -d "$dir" ] || return 1
local f
for f in "$dir"/engine_*.jsonl; do
if [ -s "$f" ]; then return 0; fi
done
return 1
}
for policy_dir in "$SWEEP_DIR"/*/; do
policy=$(basename "$policy_dir")
case "$policy" in
engine_state|logs) continue ;;
esac
if [ ! -f "$policy_dir/run_window.json" ]; then
continue
fi
echo "=== $policy ==="
# Isolated policies write engine_state into their own dir; hot-sweep
# policies share the sweep-root engine_state and need slicing.
if _has_engine_data "$policy_dir/engine_state"; then
echo " using policy-local engine_state ($(du -sh "$policy_dir/engine_state" | cut -f1))"
else
PYTHONPATH="$ROOT" "$VENV/python" \
"$ROOT/scripts/slice_engine_state.py" \
--input-dir "$SWEEP_DIR/engine_state" \
--output-dir "$policy_dir/engine_state" \
--window "$policy_dir/run_window.json"
fi
PYTHONPATH="$ROOT" "$VENV/python" \
"$ROOT/analysis/characterization/joined_analysis.py" \
--metrics "$policy_dir/metrics.jsonl" \
--breakdown "$policy_dir/breakdown.json" \
--worker-state "$policy_dir/worker_state.json" \
--engine-state-dir "$policy_dir/engine_state" \
--worker-map "$WORKER_MAP" \
--out-dir "$policy_dir/joined"
done
# Aggregate per-policy summary
"$VENV/python" - <<PY
import json, os, statistics
from pathlib import Path
sweep = Path("$SWEEP_DIR")
def pct(vals, p):
if not vals: return None
vs = sorted(vals)
return vs[int(p * (len(vs)-1))]
rows = []
for sub in sorted(sweep.iterdir()):
rw = sub / "run_window.json"
jd = sub / "joined"
if not rw.exists() or not jd.exists():
continue
policy = sub.name
metrics = [json.loads(l) for l in (sub / "metrics.jsonl").open()]
ok = [r for r in metrics if r.get("error") is None]
ttfts = [r["ttft_s"] for r in ok if r.get("ttft_s") is not None]
tpots = [r["tpot_s"] for r in ok if r.get("tpot_s") is not None]
e2es = [r["latency_s"] for r in ok if r.get("latency_s") is not None]
total_input = sum(r.get("input_length", 0) for r in ok)
total_cached = sum(r.get("cached_tokens", 0) for r in ok)
interf = json.loads((jd / "interference_index.json").read_text())
hot = json.loads((jd / "hotspot_index.json").read_text())
reuse = json.loads((jd / "reuse_decomposition.json").read_text())
fail = json.loads((jd / "failure_breakdown.json").read_text())
rows.append({
"policy": policy,
"n_ok": len(ok), "n_total": len(metrics),
"ttft_p50_s": pct(ttfts, 0.5), "ttft_p90_s": pct(ttfts, 0.9),
"ttft_p99_s": pct(ttfts, 0.99),
"tpot_p50_s": pct(tpots, 0.5), "tpot_p90_s": pct(tpots, 0.9),
"tpot_p99_s": pct(tpots, 0.99),
"e2e_p50_s": pct(e2es, 0.5), "e2e_p90_s": pct(e2es, 0.9),
"e2e_p99_s": pct(e2es, 0.99),
"apc_ratio": total_cached / max(total_input, 1),
"interference_index": interf.get("interference_index"),
"hotspot_index_ttft_p90": hot.get("hotspot_index_ttft_p90"),
"reuse_intra_frac": reuse.get("fractions", {}).get("intra"),
"reuse_cross_frac": reuse.get("fractions", {}).get("cross"),
"n_slow": fail.get("n_slow"),
"failure_counts": fail.get("counts"),
})
out = sweep / "b3_policy_comparison.json"
out.write_text(json.dumps({"rows": rows}, indent=2))
print(json.dumps(rows, indent=2))
PY