SurfSense/surfsense_evals/scripts/check_extraction_sizes.py

58 lines
2 KiB
Python

"""Sanity check extraction sizes against Sonnet 4.5's context window.
Sonnet 4.5 supports ~200k tokens. As a *very* rough heuristic, English
markdown is ~4 chars/token, so anything over ~750k chars likely won't
fit alongside the system + question + 512 max_output_tokens. Print
warnings for any extraction that's at risk.
"""
from __future__ import annotations
import json
from pathlib import Path
REPO = Path(__file__).resolve().parents[1]
MAP = REPO / "data" / "multimodal_doc" / "maps" / "parser_compare_doc_map.jsonl"
CHARS_PER_TOKEN = 4
CTX_TOKENS = 200_000
PROMPT_OVERHEAD_TOKENS = 1_000 # system + question + format hint
MAX_OUTPUT_TOKENS = 512
SAFE_CHARS = (CTX_TOKENS - PROMPT_OVERHEAD_TOKENS - MAX_OUTPUT_TOKENS) * CHARS_PER_TOKEN
def main() -> None:
rows = [
json.loads(line) for line in MAP.read_text(encoding="utf-8").splitlines() if line.strip()
]
total = len(rows)
arm_max: dict[str, tuple[int, str]] = {}
overflows: list[tuple[str, str, int]] = []
for row in rows:
for arm, ext in (row.get("extractions") or {}).items():
chars = int(ext.get("chars") or 0)
if arm not in arm_max or arm_max[arm][0] < chars:
arm_max[arm] = (chars, row["doc_id"])
if chars > SAFE_CHARS:
overflows.append((row["doc_id"], arm, chars))
print(f"PDFs in manifest: {total}")
print(f"safe char budget: {SAFE_CHARS:,} (~{(SAFE_CHARS // CHARS_PER_TOKEN):,} tokens)")
print()
print("largest extraction per arm:")
for arm, (chars, doc_id) in sorted(arm_max.items()):
print(f" {arm:25s} {chars:>10,} chars ({doc_id})")
print()
if overflows:
print(f"OVERFLOW RISK ({len(overflows)} extractions > safe budget):")
for doc_id, arm, chars in overflows:
est_tokens = chars // CHARS_PER_TOKEN
print(f" {doc_id} :: {arm} :: {chars:,} chars (~{est_tokens:,} tokens)")
else:
print("no overflow risk — all extractions fit Sonnet 4.5's 200k context.")
if __name__ == "__main__":
main()