docs: search plan + counters for v1.2.0; tools/search-parity (parity + latency vs a brute-force reference)
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Worph
2026-10-19 21:59:36 +00:00
parent fb4bdad61b
commit 5369dc4b9c
5 changed files with 241 additions and 4 deletions
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import importlib.util, json, sqlite3, sys, time
spec = importlib.util.spec_from_file_location("parity", "/tmp/parity.py")
sys.argv = ["parity", "/meta-core/db/meta-core.db"]
src = open("/tmp/parity.py").read().replace("\nmain()\n", "\n")
ns = {}
exec(compile(src, "parity", "exec"), ns)
db = sqlite3.connect(f"file:{DB_PATH}?mode=ro", uri=True)
qs = ns["build_queries"](db)
for limit in (100, 2000):
times = []
worst = []
for q in qs:
q = dict(q, limit=limit)
try:
_, secs = ns["post"](q)
except Exception as e:
print(" ERROR", e, json.dumps(q)[:150], flush=True)
secs = 99
times.append(secs * 1000)
worst.append((secs * 1000, json.dumps({k: v for k, v in q.items() if k != "limit"})[:90]))
times.sort()
print(f"limit={limit}: n={len(times)} p50={times[len(times)//2]:.0f}ms p90={times[int(len(times)*.9)]:.0f}ms max={times[-1]:.0f}ms")
for t, q in sorted(worst, reverse=True)[:4]:
print(f" {t:7.0f}ms {q}")