File size: 8,398 Bytes
0d9e836 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 | """Collect per-query benchmark data from the live lablab UI.
Runs each query through `/api/agent/stream`, accumulates the full
SSE trace, and emits a JSON record per query with everything the
benchmark page (docs/BENCHMARKS.md) needs:
- briefing paragraph
- per-Stone fired count (Cornerstone / Keystone / Touchstone /
Lodestone / Capstone)
- by-design / errored skip rows
- Mellea attempts, rerolls, requirements passed/failed
- emissions: total Wh, J, tokens, n_measured, by-kind / by-hardware
- wall-clock start-to-final
- geocode (lat/lon, BBL, BIN)
Output: JSON written to outputs/benchmarks.json (or `--out`).
Usage:
PYTHONPATH=. uv run python scripts/probe_benchmarks.py
PYTHONPATH=. uv run python scripts/probe_benchmarks.py \\
--queries "80 Pioneer Street, Brooklyn" "2508 Beach Channel Drive"
Defaults to the canonical four addresses from CLAUDE.md.
"""
from __future__ import annotations
import argparse
import json
import sys
import time
from pathlib import Path
from urllib.parse import quote
import httpx
DEFAULT_BASE = "https://lablab-ai-amd-developer-hackathon-riprap-nyc.hf.space"
DEFAULT_QUERIES = [
"80 Pioneer Street, Brooklyn",
"2508 Beach Channel Drive, Queens",
"Coney Island I Houses, Brooklyn",
"Carleton Manor Houses, Queens",
]
STEP_TO_STONE: dict[str, str] = {
"sandy_inundation": "Cornerstone", "dep_stormwater": "Cornerstone",
"ida_hwm_2021": "Cornerstone", "prithvi_eo_v2": "Cornerstone",
"microtopo_lidar": "Cornerstone", "sandy_nta": "Cornerstone",
"dep_extreme_2080_nta": "Cornerstone", "dep_moderate_2050_nta": "Cornerstone",
"dep_moderate_current_nta": "Cornerstone", "microtopo_nta": "Cornerstone",
"mta_entrance_exposure": "Keystone",
"nycha_development_exposure": "Keystone",
"doe_school_exposure": "Keystone", "doh_hospital_exposure": "Keystone",
"terramind_synthesis": "Keystone", "eo_chip_fetch": "Keystone",
"terramind_buildings": "Keystone",
"floodnet": "Touchstone", "nyc311": "Touchstone",
"nws_obs": "Touchstone", "noaa_tides": "Touchstone",
"prithvi_eo_live": "Touchstone", "terramind_lulc": "Touchstone",
"nyc311_nta": "Touchstone",
"nws_alerts": "Lodestone", "ttm_forecast": "Lodestone",
"ttm_311_forecast": "Lodestone", "floodnet_forecast": "Lodestone",
"ttm_battery_surge": "Lodestone",
"reconcile_granite41": "Capstone",
"mellea_reconcile_address": "Capstone",
"reconcile_neighborhood": "Capstone",
"reconcile_development": "Capstone",
"reconcile_live_now": "Capstone",
}
def stream_events(base: str, q: str, timeout_s: float):
url = f"{base.rstrip('/')}/api/agent/stream?q={quote(q)}"
with httpx.Client(timeout=timeout_s) as client:
with client.stream("GET", url) as r:
r.raise_for_status()
event = None
for line in r.iter_lines():
if not line:
event = None
continue
if line.startswith("event:"):
event = line.removeprefix("event:").strip()
elif line.startswith("data:") and event:
body = line.removeprefix("data:").strip()
try:
yield event, json.loads(body)
except Exception:
yield event, {"_raw": body}
def collect_one(base: str, q: str, timeout_s: float) -> dict:
print(f"\n== {q!r} ==", flush=True)
t0 = time.time()
fired: dict[str, list[str]] = {s: [] for s in
("Cornerstone", "Keystone", "Touchstone",
"Lodestone", "Capstone")}
errored: list[dict] = []
skipped: list[dict] = []
final: dict | None = None
plan: dict | None = None
n_token_events = 0
for event, payload in stream_events(base, q, timeout_s):
if event == "plan":
plan = payload
elif event == "token":
n_token_events += 1
elif event == "step":
step = payload.get("step", "")
ok = bool(payload.get("ok"))
stone = STEP_TO_STONE.get(step)
if stone and ok:
fired[stone].append(step)
elif not ok:
err = (payload.get("err") or
(payload.get("result") or {}).get("err") or
(payload.get("result") or {}).get("skipped") or "")
row = {"step": step, "stone": stone, "reason": err,
"elapsed_s": payload.get("elapsed_s")}
# Heuristic: by-design skips use neutral language;
# genuine errors usually contain a Python exception type.
blob = err.lower()
is_design_skip = any(p in blob for p in [
"no entrances within radius",
"only 2 historical",
"no schools within radius",
"no nycha",
"no hospitals within radius",
"out of nyc scope",
"not in nyc pluto",
])
if is_design_skip:
skipped.append(row)
else:
errored.append(row)
elif event == "final":
final = payload
elapsed_s = round(time.time() - t0, 2)
print(f" {elapsed_s}s · token events={n_token_events}", flush=True)
em = (final or {}).get("emissions") or {}
mel = (final or {}).get("mellea") or {}
geo = (final or {}).get("geocode") or {}
return {
"query": q,
"wallclock_s": elapsed_s,
"n_token_events": n_token_events,
"geocode": {
"address": geo.get("address"),
"lat": geo.get("lat"),
"lon": geo.get("lon"),
"bbl": geo.get("bbl"),
"bin": geo.get("bin"),
"borough": geo.get("borough"),
},
"plan": {
"intent": (plan or {}).get("intent"),
"specialists": (plan or {}).get("specialists"),
"rationale": (plan or {}).get("rationale"),
},
"stones": {
stone: {"n_fired": len(steps), "steps": steps}
for stone, steps in fired.items()
},
"errored": errored,
"skipped_by_design": skipped,
"mellea": {
"n_attempts": mel.get("n_attempts"),
"rerolls": mel.get("rerolls"),
"requirements_passed": mel.get("requirements_passed"),
"requirements_failed": mel.get("requirements_failed"),
"requirements_total": mel.get("requirements_total"),
"model": mel.get("model"),
},
"emissions": {
"n_calls": em.get("n_calls"),
"n_measured": em.get("n_measured"),
"total_wh": em.get("total_wh"),
"total_mwh": em.get("total_mwh"),
"total_joules": em.get("total_joules"),
"total_duration_s": em.get("total_duration_s"),
"tokens": em.get("tokens"),
"by_kind": em.get("by_kind"),
"by_hardware": em.get("by_hardware"),
},
"paragraph": (final or {}).get("paragraph"),
"paragraph_chars": len((final or {}).get("paragraph") or ""),
"tier": (final or {}).get("tier"),
}
def main() -> int:
p = argparse.ArgumentParser()
p.add_argument("--base", default=DEFAULT_BASE)
p.add_argument("--queries", nargs="*", default=DEFAULT_QUERIES)
p.add_argument("--timeout", type=float, default=600.0)
p.add_argument("--out", default="outputs/benchmarks.json")
args = p.parse_args()
out_path = Path(args.out)
out_path.parent.mkdir(parents=True, exist_ok=True)
print(f"== probe_benchmarks ==")
print(f" base : {args.base}")
print(f" queries: {len(args.queries)}")
runs = []
for q in args.queries:
try:
runs.append(collect_one(args.base, q, args.timeout))
except Exception as e:
print(f" FAIL {type(e).__name__}: {e}", flush=True)
runs.append({"query": q, "error": f"{type(e).__name__}: {e}"})
out = {"base": args.base, "ts": time.time(), "runs": runs}
out_path.write_text(json.dumps(out, indent=2, default=str))
print(f"\nwrote {out_path} ({len(runs)} runs)")
return 0
if __name__ == "__main__":
sys.exit(main())
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