3ambench / scripts /replay_ws.py
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3amBench v0.2.0
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"""Shared helpers for the replay exporters: text clipping, tool-call summaries, and a scratch copy of a task's
workspace that recovered edits are applied to (scripts/export_runs.py for the core tier, scripts/export_expert.py
for the expert tier).
"""
from __future__ import annotations
import difflib
import json
import os
import shutil
import tempfile
from replay_atif import apply_v4a
MAX_OUT, MAX_DIFF, MAX_THINK, MAX_ARGS = 1200, 2400, 1200, 300
def clip(s: str | None, n: int) -> str:
s = s or ""
return s if len(s) <= n else s[:n] + f"\n… [{len(s) - n} more chars]"
def args_summary(tool: str, a: dict) -> str:
if tool in ("write_file", "Write", "create_file"):
return f"{a.get('path') or a.get('file_path')} ({len(str(a.get('content', '')))} bytes)"
for k in ("path", "file_path", "command", "cmd", "keystrokes", "labels", "input"):
if k in a and a[k] not in (None, ""):
v = a[k]
head = f"{a.get('path') or a.get('file_path')} " if k not in ("path", "file_path") and (
a.get("path") or a.get("file_path")) else ""
return clip(head + (json.dumps(v) if isinstance(v, (dict, list)) else str(v)), MAX_ARGS)
return clip(json.dumps(a), MAX_ARGS) if a else ""
class Workspace:
"""A scratch copy of a task's initial workspace: applies edits, returns diffs, grades on demand."""
def __init__(self, task_dir: str, grader=None):
self.root = tempfile.mkdtemp(prefix="af-replay-")
self.ws = os.path.join(self.root, "monitoring")
shutil.copytree(os.path.join(task_dir, "environment", "workspace", "monitoring"), self.ws, symlinks=True)
self.grader = grader
def read(self, rel: str) -> str | None:
p = os.path.join(self.ws, rel)
return open(p).read() if os.path.isfile(p) else None
def files(self) -> dict:
out = {}
for dp, _, fns in os.walk(self.ws):
for fn in fns:
rel = os.path.relpath(os.path.join(dp, fn), self.ws)
out[rel] = self.read(rel)
return out
def apply(self, op: tuple) -> tuple[str, bool]:
"""Apply one op; returns (unified diff, ok)."""
if op[0] == "patch":
ops, ok = apply_v4a(self.files(), op[1])
diffs = [self.apply(o) for o in ops]
return "".join(d for d, _ in diffs), ok and all(k for _, k in diffs)
rel = op[1]
old = self.read(rel)
if op[0] == "write":
new = op[2]
elif op[0] == "replace":
_, _, a, b, every = op
if old is None or (a not in old):
return "", False
new = old.replace(a, b) if every else old.replace(a, b, 1)
elif op[0] == "delete":
if old is not None:
os.remove(os.path.join(self.ws, rel))
return self._diff(rel, old, ""), True
else:
return "", False
p = os.path.join(self.ws, rel)
os.makedirs(os.path.dirname(p), exist_ok=True)
with open(p, "w") as fh:
fh.write(new)
return self._diff(rel, old, new), True
@staticmethod
def _diff(rel: str, old: str | None, new: str) -> str:
return "".join(difflib.unified_diff((old or "").splitlines(True), new.splitlines(True),
f"a/{rel}" if old is not None else "/dev/null", f"b/{rel}", n=2))
def grade(self) -> tuple[dict, dict]:
return self.grader.grade(self.ws)
def close(self) -> None:
shutil.rmtree(self.root, ignore_errors=True)