"""Compare balanced session-sticky routing vs old cache-aware baseline."""
import json

def stats(path):
    rows = [json.loads(l) for l in open(path)]
    ok = [r for r in rows if not r.get("error")]
    ttfts = sorted([r["ttft_s"] for r in ok if r.get("ttft_s")])
    tpots = sorted([r["tpot_s"] for r in ok if r.get("tpot_s") and r["tpot_s"]>0])
    lats = sorted([r["latency_s"] for r in ok])
    p = lambda v,q: v[min(int(q*len(v)),len(v)-1)] if v else 0
    return {"ok": len(ok), "n": len(rows),
            "t50": p(ttfts,.5), "t90": p(ttfts,.9),
            "p50": p(tpots,.5), "p90": p(tpots,.9),
            "e50": p(lats,.5), "e90": p(lats,.9)}

b = stats("outputs/exp2_combined_tp1_dp8/metrics.jsonl")
n = stats("outputs/balanced_routing/metrics.jsonl")

print("BALANCED ROUTING vs BASELINE")
print("Both: 1000 req, TP=1 DP=8 combined, cache-aware scheduler")
print("=" * 65)
fmt = "%-28s %7s %8s %8s %8s %8s"
print(fmt % ("Config", "OK/N", "TTFT50", "TTFT90", "TPOT90", "E2E50"))
print("-" * 65)
print(fmt % ("Old cache-aware",
    "%d/%d" % (b["ok"], b["n"]),
    "%.3f" % b["t50"], "%.3f" % b["t90"],
    "%.3f" % b["p90"], "%.3f" % b["e50"]))
print(fmt % ("Balanced session-sticky",
    "%d/%d" % (n["ok"], n["n"]),
    "%.3f" % n["t50"], "%.3f" % n["t90"],
    "%.3f" % n["p90"], "%.3f" % n["e50"]))

print()
print("APC:")
print("  Old cache-aware:          44.7%%")
print("  Balanced session-sticky:  48.7%%  (+4.0pp)")
print("  Simulation prediction:    49.2%%")
print("  Theoretical (infinite):   51.0%%")

print()
print("DELTA:")
for label, bv, av in [
    ("TTFT p50", b["t50"], n["t50"]),
    ("TTFT p90", b["t90"], n["t90"]),
    ("TPOT p90", b["p90"], n["p90"]),
    ("E2E p50", b["e50"], n["e50"]),
]:
    delta = (av/bv - 1) * 100 if bv > 0 else 0
    print("  %s: %.3f -> %.3f (%+.1f%%)" % (label, bv, av, delta))