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67acd34 | 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 | from __future__ import annotations
import json
from dataclasses import asdict
from datetime import UTC, datetime
from pathlib import Path
from typing import Any
from tqdm import tqdm
from clients import ModelClient
from puzzles import DATASET_REPOS, RUNS_DIR, PuzzleSpec, expand_puzzles, load_dataset_frame, load_prompt
def slugify(value: str) -> str:
cleaned = []
for ch in value:
if ch.isalnum():
cleaned.append(ch.lower())
elif ch in {"-", "_", "."}:
cleaned.append("-")
slug = "".join(cleaned).strip("-")
return slug or "run"
def timestamp_slug() -> str:
return datetime.now(UTC).strftime("%Y%m%d-%H%M%S")
def build_run_name(
*,
model: str,
variant: str,
difficulty: str,
puzzles: list[PuzzleSpec],
) -> str:
puzzle_part = "all" if len(puzzles) == 6 else "-".join(p.key for p in puzzles)
return f"{timestamp_slug()}-{slugify(model)}-{variant}-{difficulty}-{puzzle_part}"
def write_json(path: Path, payload: Any) -> None:
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(json.dumps(payload, indent=2), encoding="utf-8")
def append_jsonl(path: Path, row: dict[str, Any]) -> None:
path.parent.mkdir(parents=True, exist_ok=True)
with path.open("a", encoding="utf-8") as handle:
handle.write(json.dumps(row, ensure_ascii=False) + "\n")
def load_json(path: Path) -> Any:
return json.loads(path.read_text(encoding="utf-8"))
def load_jsonl(path: Path) -> list[dict[str, Any]]:
if not path.exists():
return []
rows = []
with path.open("r", encoding="utf-8") as handle:
for line in handle:
line = line.strip()
if line:
rows.append(json.loads(line))
return rows
def create_run_manifest(
*,
run_name: str,
provider: str,
model: str,
variant: str,
difficulty: str,
limit: int | None,
max_output_tokens: int,
temperature: float | None,
request_args: dict[str, Any],
puzzles: list[PuzzleSpec],
) -> dict[str, Any]:
return {
"run_name": run_name,
"created_at": datetime.now(UTC).isoformat(),
"provider": provider,
"model": model,
"variant": variant,
"dataset_repo": DATASET_REPOS[variant],
"difficulty": difficulty,
"limit": limit,
"max_output_tokens": max_output_tokens,
"temperature": temperature,
"request_args": request_args,
"puzzles": [asdict(puzzle) for puzzle in puzzles],
}
def run_benchmarks(
*,
provider: str,
model: str,
variant: str,
difficulty: str,
puzzle_names: list[str],
limit: int | None,
max_output_tokens: int,
temperature: float | None,
request_args: dict[str, Any],
run_name: str | None,
overwrite: bool,
) -> Path:
puzzles = expand_puzzles(puzzle_names)
resolved_run_name = run_name or build_run_name(
model=model,
variant=variant,
difficulty=difficulty,
puzzles=puzzles,
)
run_dir = RUNS_DIR / resolved_run_name
responses_path = run_dir / "responses.jsonl"
manifest_path = run_dir / "manifest.json"
if run_dir.exists() and not overwrite:
raise FileExistsError(
f"Run directory already exists: {run_dir}. "
"Pass --overwrite or choose --run-name."
)
if overwrite and run_dir.exists():
for path in run_dir.glob("*"):
if path.is_file():
path.unlink()
else:
raise RuntimeError(
f"Refusing to overwrite unexpected directory inside {run_dir}: {path}"
)
client = ModelClient()
run_dir.mkdir(parents=True, exist_ok=True)
manifest = create_run_manifest(
run_name=resolved_run_name,
provider=provider,
model=model,
variant=variant,
difficulty=difficulty,
limit=limit,
max_output_tokens=max_output_tokens,
temperature=temperature,
request_args=request_args,
puzzles=puzzles,
)
write_json(manifest_path, manifest)
for puzzle in puzzles:
dataset = load_dataset_frame(
puzzle,
variant=variant,
difficulty=difficulty,
limit=limit,
)
prompt = load_prompt(puzzle, variant)
progress = tqdm(
dataset.itertuples(index=False),
total=len(dataset),
desc=f"{puzzle.key}:{difficulty}",
)
for row in progress:
prompt_text = f"{prompt.rstrip()}\n\n{row.problem}"
generation = client.generate(
provider=provider,
model=model,
prompt=prompt_text,
max_output_tokens=max_output_tokens,
temperature=temperature,
extra_args=request_args,
)
record = {
"filename": row.filename,
"puzzlename": row.puzzlename,
"difficulty": row.difficulty,
"args": getattr(row, "args", None),
"variant": variant,
"provider": provider,
"model": model,
"prompt_file": puzzle.prompt_path(variant).name,
"dataset_repo": DATASET_REPOS[variant],
"response_text": generation.text,
"input_tokens": generation.input_tokens,
"output_tokens": generation.output_tokens,
"total_tokens": generation.total_tokens,
"created_at": datetime.now(UTC).isoformat(),
}
append_jsonl(responses_path, record)
return run_dir
|