molperceive / common /exec_gate.py
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"""Parallel row-validation harness, shared by every entry.
Generalized from chartforge/render_check.py, whose ProcessPoolExecutor driver was always
generic while only its inner check was chart-specific.
THE RULE THIS MODULE EXISTS TO ENFORCE: **the gate imports the released scorer**, it does
not reimplement it. If the scorer's semantics change, the gate changes with it, so a row
can never pass generation-time validation and then fail evaluation-time scoring. Every
entry passes its own `check_fn`, and every `check_fn` must call into that entry's real
scorer rather than a lookalike.
A `check_fn` takes whatever tuple the entry finds convenient, whose first element is the
row id, and returns `(row_id, ok, reason)`. Reasons are formatted `"bucket: detail"` so
`drop_reasons()` aggregates them for free.
from common.exec_gate import check_many, drop_reasons
verdicts = check_many(items, my_check, workers=8)
kept = [i for i in items if verdicts[i[0]][0]]
print(drop_reasons(verdicts))
"""
from __future__ import annotations
import json
import subprocess
import sys
import tempfile
from collections import Counter
from concurrent.futures import ProcessPoolExecutor, as_completed
from pathlib import Path
from typing import Callable, Sequence
TIMEOUT_S = 8
CheckFn = Callable[[tuple], tuple[str, bool, str]]
def check_many(items: Sequence[tuple], check_fn: CheckFn, workers: int = 8,
progress_every: int = 2000) -> dict[str, tuple[bool, str]]:
"""Validate rows in parallel. Execution is CPU-bound, so processes beat threads.
check_fn must be a module-level function (picklable), not a lambda or closure.
"""
results: dict[str, tuple[bool, str]] = {}
with ProcessPoolExecutor(max_workers=workers) as pool:
futs = {pool.submit(check_fn, it): it[0] for it in items}
done = 0
for fut in as_completed(futs):
rid, ok, why = fut.result()
results[rid] = (ok, why)
done += 1
if progress_every and done % progress_every == 0:
kept = sum(1 for v in results.values() if v[0])
print(f" checked {done}/{len(items)} kept {kept}", flush=True)
return results
def drop_reasons(verdicts: dict[str, tuple[bool, str]]) -> dict[str, int]:
"""Aggregate failures by the bucket prefix before the first colon."""
return dict(Counter(why.split(":")[0] for ok, why in verdicts.values() if not ok
).most_common())
def run_python(code: str, marker: str = "__RESULT__", timeout: int = TIMEOUT_S,
preamble: str = "") -> object | None:
"""Execute code in a subprocess and return the JSON printed after `marker`.
Used by entries that score by executing generated code. The subprocess is the
isolation boundary: a row that hangs or segfaults costs one worker, not the run.
"""
script = (preamble + "\n" + code) if preamble else code
path = None
try:
with tempfile.NamedTemporaryFile("w", suffix=".py", delete=False) as f:
f.write(script)
path = f.name
out = subprocess.run([sys.executable, path], capture_output=True,
text=True, timeout=timeout)
for line in out.stdout.splitlines():
if line.startswith(marker):
return json.loads(line[len(marker):])
return None
except Exception:
return None
finally:
if path:
try:
Path(path).unlink(missing_ok=True)
except Exception:
pass
def _echo_check(item: tuple) -> tuple[str, bool, str]:
"""Module-level so the selftest can pickle it."""
rid, value = item
if value < 0:
return rid, False, "negative: value below zero"
if value == 0:
return rid, False, "zero: value is zero"
return rid, True, "ok"
def _selftest() -> None:
items = [("a", 1), ("b", -1), ("c", 0), ("d", 5), ("e", -2)]
v = check_many(items, _echo_check, workers=2, progress_every=0)
assert len(v) == 5
assert [k for k in v if v[k][0]] == ["a", "d"] or set(k for k in v if v[k][0]) == {"a", "d"}
assert drop_reasons(v) == {"negative": 2, "zero": 1}, drop_reasons(v)
assert run_python('print("__RESULT__" + __import__("json").dumps([1,2]))') == [1, 2]
assert run_python('raise SystemExit(1)') is None
assert run_python('import time; time.sleep(30)', timeout=2) is None
print("exec_gate selftest: 5/5 OK")
if __name__ == "__main__":
_selftest()