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951f760 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 | #!/usr/bin/env python3
from __future__ import annotations
import argparse
import importlib.util
import importlib
import json
import os
import subprocess
import sys
from pathlib import Path
from typing import Any
from scripts.benchmark_preflight import build_readiness_report
from scripts.hf_routing import resolve_routing
REPO_ROOT = Path(__file__).resolve().parents[1]
FREEZE_PATH = REPO_ROOT / "artifacts" / "cycle_1_execution_freeze.json"
RUNNER_PATH = REPO_ROOT / "scripts" / "benchmark_runner.py"
def active_hf_token() -> str | None:
token = os.environ.get("HF_TOKEN")
if token:
return token
try:
from huggingface_hub.utils import get_token
return get_token()
except Exception:
return None
def missing_benchmark_dependencies() -> list[str]:
required = ["mamba_ssm", "transformers"]
missing: list[str] = []
for name in required:
try:
spec = importlib.util.find_spec(name)
except (ImportError, ValueError):
spec = None
if spec is None:
try:
importlib.import_module(name)
except Exception:
missing.append(name)
return missing
def load_cycle_freeze(path: Path) -> dict[str, Any]:
return json.loads(path.read_text(encoding="utf-8"))
def load_cycle_benchmarks(path: Path) -> list[str]:
payload = json.loads(path.read_text(encoding="utf-8"))
out: list[str] = []
for section in ("coding_benchmarks", "reasoning_benchmarks"):
for slot in ("fast_iteration", "milestone"):
entry = payload.get(section, {}).get(slot)
if isinstance(entry, dict) and entry.get("name"):
out.append(str(entry["name"]))
return out
def build_preflight_report(
*,
cache_dir: Path,
output_repo: str | None = None,
tokenizer_repo: str | None = None,
) -> dict[str, object]:
return build_readiness_report(
cache_dir=cache_dir,
hf_token_present=bool(active_hf_token()),
dependencies_present=not bool(missing_benchmark_dependencies()),
missing_dependencies=missing_benchmark_dependencies(),
output_repo=output_repo,
tokenizer_repo=tokenizer_repo,
)
def write_preflight_report(path: Path, payload: dict[str, object]) -> None:
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(json.dumps(payload, indent=2, sort_keys=True), encoding="utf-8")
def write_cycle_summary(path: Path, payload: list[dict[str, Any]]) -> None:
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(json.dumps(payload, indent=2, sort_keys=True), encoding="utf-8")
def build_remote_checkpoint_report(output_repo: str, token: str | None) -> dict[str, Any]:
from huggingface_hub import HfApi
from scripts.benchmark_checkpoint_report import build_checkpoint_report
files = HfApi(token=token).list_repo_files(repo_id=output_repo, repo_type="model", token=token)
return build_checkpoint_report(files)
def ensure_benchmark_assets(
*,
cache_dir: Path,
output_repo: str,
tokenizer_repo: str,
token: str | None,
hydrate: bool,
) -> dict[str, str] | None:
if not hydrate:
return None
from scripts.benchmark_assets import hydrate_benchmark_assets
return hydrate_benchmark_assets(
cache_dir=cache_dir,
output_repo=output_repo,
tokenizer_repo=tokenizer_repo,
token=token,
)
def build_benchmark_command(
freeze: dict[str, Any],
*,
benchmark: str,
variant: str,
seed: int,
out_dir: Path,
) -> tuple[list[str], dict[str, str]]:
variant_cfg = freeze["variants"][variant]
env = os.environ.copy()
env.update({str(k): str(v) for k, v in variant_cfg.get("env", {}).items()})
env["HYDRA_SEED"] = str(seed)
out_dir.mkdir(parents=True, exist_ok=True)
result_path = out_dir / f"{benchmark.lower()}_{variant}_seed{seed}.json"
ledger_path = out_dir / "benchmark_ledger.json"
cmd = [
sys.executable,
str(RUNNER_PATH),
"--benchmark",
benchmark,
"--generator-mode",
"hydra",
"--out",
str(result_path),
"--ledger",
str(ledger_path),
"--variant",
variant,
"--seed",
str(seed),
]
return cmd, env
def build_cycle_plan(freeze: dict[str, Any], *, benchmark: str, out_dir: Path) -> list[dict[str, Any]]:
runnable_variants = [
name for name, cfg in freeze.get("variants", {}).items()
if isinstance(cfg, dict) and cfg.get("status") == "runnable_now"
]
seeds = [int(seed) for seed in freeze.get("seeds", [])]
plan: list[dict[str, Any]] = []
for variant in runnable_variants:
for seed in seeds:
cmd, env = build_benchmark_command(
freeze,
benchmark=benchmark,
variant=variant,
seed=seed,
out_dir=out_dir,
)
plan.append({
"benchmark": benchmark,
"variant": variant,
"seed": seed,
"command": cmd,
"env": env,
})
return plan
def execute_cycle_plan(plan: list[dict[str, Any]], *, repo_root: Path) -> list[dict[str, Any]]:
results: list[dict[str, Any]] = []
for item in plan:
proc = subprocess.run(item["command"], cwd=str(repo_root), env=item["env"])
results.append(
{
"benchmark": item["benchmark"],
"variant": item["variant"],
"seed": item["seed"],
"returncode": proc.returncode,
}
)
return results
def parse_args(argv: list[str] | None = None) -> argparse.Namespace:
parser = argparse.ArgumentParser(description="Execute a frozen Cycle 1 benchmark run")
parser.add_argument("--freeze", type=Path, default=FREEZE_PATH)
parser.add_argument("--suite", type=Path, default=REPO_ROOT / "artifacts" / "benchmark_suite.cycle1.json")
parser.add_argument("--benchmark", required=True)
parser.add_argument("--variant", required=True)
parser.add_argument("--seed", type=int, required=True)
parser.add_argument("--out-dir", type=Path, default=REPO_ROOT / "artifacts" / "runs")
parser.add_argument("--preflight-out", type=Path)
parser.add_argument("--summary-out", type=Path)
parser.add_argument("--hydrate-assets", action="store_true")
parser.add_argument("--all-runnable", action="store_true")
parser.add_argument("--all-benchmarks", action="store_true")
parser.add_argument("--require-ready", action="store_true")
parser.add_argument("--output-repo")
parser.add_argument("--tokenizer-repo")
return parser.parse_args(argv)
def main(argv: list[str] | None = None) -> int:
args = parse_args(argv)
cache_dir = Path(os.path.expanduser("~/.cache/autoresearch"))
report = None
token = active_hf_token()
routing = resolve_routing(token=token)
output_repo = args.output_repo or routing.output_repo
tokenizer_repo = args.tokenizer_repo or routing.output_repo
if args.hydrate_assets:
try:
ensure_benchmark_assets(
cache_dir=cache_dir,
output_repo=output_repo,
tokenizer_repo=tokenizer_repo,
token=token,
hydrate=True,
)
except FileNotFoundError as exc:
checkpoint_report = None
try:
checkpoint_report = build_remote_checkpoint_report(output_repo, token)
except Exception:
checkpoint_report = None
if args.summary_out is not None:
write_cycle_summary(
args.summary_out,
[{
"status": "blocked",
"reason": "asset_hydration_failed",
"error": str(exc),
"checkpoint_candidates": checkpoint_report,
}],
)
return 3
if args.preflight_out is not None:
report = build_preflight_report(
cache_dir=cache_dir,
output_repo=output_repo,
tokenizer_repo=tokenizer_repo,
)
write_preflight_report(args.preflight_out, report)
if args.require_ready:
if report is None:
report = build_preflight_report(
cache_dir=cache_dir,
output_repo=output_repo,
tokenizer_repo=tokenizer_repo,
)
if not bool(report.get("ready_for_hydra_benchmarks")):
checkpoint_report = None
try:
checkpoint_report = build_remote_checkpoint_report(output_repo, token)
except Exception:
checkpoint_report = None
if args.summary_out is not None:
write_cycle_summary(
args.summary_out,
[{
"status": "blocked",
"reason": "preflight_not_ready",
"preflight": report,
"checkpoint_candidates": checkpoint_report,
}],
)
return 2
freeze = load_cycle_freeze(args.freeze)
if args.all_runnable:
benchmarks = load_cycle_benchmarks(args.suite) if args.all_benchmarks else [args.benchmark]
plan = []
for benchmark in benchmarks:
plan.extend(build_cycle_plan(freeze, benchmark=benchmark, out_dir=args.out_dir))
results = execute_cycle_plan(plan, repo_root=REPO_ROOT)
if args.summary_out is not None:
write_cycle_summary(args.summary_out, results)
return 0 if all(item["returncode"] == 0 for item in results) else 1
cmd, env = build_benchmark_command(
freeze,
benchmark=args.benchmark,
variant=args.variant,
seed=args.seed,
out_dir=args.out_dir,
)
proc = subprocess.run(cmd, cwd=str(REPO_ROOT), env=env)
if args.summary_out is not None:
write_cycle_summary(
args.summary_out,
[{
"benchmark": args.benchmark,
"variant": args.variant,
"seed": args.seed,
"returncode": proc.returncode,
}],
)
return proc.returncode
if __name__ == "__main__":
raise SystemExit(main())
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