File size: 8,185 Bytes
c289d87 | 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 | from __future__ import annotations
import gzip
import os
import shutil
from dataclasses import dataclass, asdict
from datetime import UTC, datetime
from pathlib import Path
from typing import Dict, Iterable, List
import pandas as pd
@dataclass
class DiskSnapshot:
timestamp_utc: str
stage: str
note: str
free_gb: float
repo_size_gb: float
projected_output_gb: float
projected_free_after_gb: float
@dataclass
class DiskCleanupAction:
timestamp_utc: str
action: str
target: str
size_before_mb: float
size_after_mb: float
reclaimed_mb: float
status: str
reason: str
def _utc_now() -> str:
return datetime.now(UTC).isoformat()
def _is_within_repo(target: Path, repo_root: Path) -> bool:
try:
target.resolve().relative_to(repo_root.resolve())
return True
except Exception:
return False
def directory_size_bytes(path: Path) -> int:
total = 0
if not path.exists():
return total
for entry in path.rglob("*"):
if entry.is_file():
try:
total += entry.stat().st_size
except OSError:
continue
return total
def system_free_bytes(path: Path) -> int:
return int(shutil.disk_usage(path).free)
def snapshot_disk_state(repo_root: Path, stage: str, note: str, projected_output_gb: float = 0.0) -> DiskSnapshot:
free = system_free_bytes(repo_root)
repo_size = directory_size_bytes(repo_root)
projected_after = max(0.0, (free / (1024**3)) - float(projected_output_gb))
return DiskSnapshot(
timestamp_utc=_utc_now(),
stage=stage,
note=note,
free_gb=free / (1024**3),
repo_size_gb=repo_size / (1024**3),
projected_output_gb=float(projected_output_gb),
projected_free_after_gb=projected_after,
)
def append_disk_snapshot(csv_path: Path, snapshot: DiskSnapshot) -> None:
csv_path.parent.mkdir(parents=True, exist_ok=True)
row = pd.DataFrame([asdict(snapshot)])
if csv_path.exists():
old = pd.read_csv(csv_path)
out = pd.concat([old, row], ignore_index=True)
else:
out = row
out.to_csv(csv_path, index=False)
def requires_cleanup(snapshot: DiskSnapshot, *, min_free_gb: float = 8.0) -> bool:
return bool(snapshot.projected_free_after_gb < float(min_free_gb))
def _compress_file(path: Path) -> tuple[float, float]:
before = path.stat().st_size / (1024**2)
gz_path = path.with_suffix(path.suffix + ".gz")
with path.open("rb") as src, gzip.open(gz_path, "wb", compresslevel=6) as dst:
shutil.copyfileobj(src, dst)
path.unlink(missing_ok=True)
after = gz_path.stat().st_size / (1024**2)
return before, after
def _prune_batches(raw_root: Path, keep_first_n: int) -> tuple[float, float]:
before = directory_size_bytes(raw_root) / (1024**2)
batches = sorted([p for p in raw_root.iterdir() if p.is_dir()])
for batch in batches[keep_first_n:]:
shutil.rmtree(batch, ignore_errors=True)
after = directory_size_bytes(raw_root) / (1024**2)
return before, after
def run_repository_local_cleanup(
repo_root: Path,
*,
results_dir: Path,
keep_raw_batches: int = 6,
) -> List[DiskCleanupAction]:
actions: List[DiskCleanupAction] = []
def record(action: str, target: Path, before: float, after: float, status: str, reason: str) -> None:
actions.append(
DiskCleanupAction(
timestamp_utc=_utc_now(),
action=action,
target=str(target),
size_before_mb=float(before),
size_after_mb=float(after),
reclaimed_mb=max(0.0, float(before - after)),
status=status,
reason=reason,
)
)
# 1) Remove replay caches after summary tables are present.
for replay in results_dir.glob("*/replay_cache"):
parent = replay.parent
if not _is_within_repo(replay, repo_root):
record("remove_dir", replay, 0.0, 0.0, "skipped", "outside_repo_guard")
continue
if not (parent / "summary.json").exists():
record("remove_dir", replay, 0.0, 0.0, "skipped", "missing_summary")
continue
before = directory_size_bytes(replay) / (1024**2)
shutil.rmtree(replay, ignore_errors=True)
after = directory_size_bytes(replay) / (1024**2) if replay.exists() else 0.0
record("remove_dir", replay, before, after, "ok", "replay_cache_not_required_for_final_reports")
# 2) Prune oversized raw output batches but keep representative subset.
for raw_root in list(results_dir.glob("*/raw_rdock_outputs")) + list(results_dir.glob("*/predock/raw_rdock_outputs")):
if not raw_root.exists() or not raw_root.is_dir():
continue
if not _is_within_repo(raw_root, repo_root):
record("prune_batches", raw_root, 0.0, 0.0, "skipped", "outside_repo_guard")
continue
before, after = _prune_batches(raw_root, keep_first_n=keep_raw_batches)
record("prune_batches", raw_root, before, after, "ok", "keep_representative_raw_batches_only")
# 3) Compress large logs.
for log_file in results_dir.rglob("*.log"):
if not log_file.exists() or not log_file.is_file():
continue
if not _is_within_repo(log_file, repo_root):
record("compress_log", log_file, 0.0, 0.0, "skipped", "outside_repo_guard")
continue
if log_file.stat().st_size < 2 * 1024 * 1024:
continue
before, after = _compress_file(log_file)
record("compress_log", log_file, before, after, "ok", "large_log_compression")
# 4) Remove stale duplicate work dirs if summaries exist.
for work_dir in results_dir.glob("*/work"):
parent = work_dir.parent
if not (parent / "summary.json").exists():
continue
if not _is_within_repo(work_dir, repo_root):
record("remove_work_dir", work_dir, 0.0, 0.0, "skipped", "outside_repo_guard")
continue
before = directory_size_bytes(work_dir) / (1024**2)
shutil.rmtree(work_dir, ignore_errors=True)
record("remove_work_dir", work_dir, before, 0.0, "ok", "parsed_outputs_already_persisted")
return actions
def write_cleanup_actions(path: Path, actions: Iterable[DiskCleanupAction]) -> None:
lines = ["# Disk Cleanup Actions", ""]
actions = list(actions)
if not actions:
lines.append("- No cleanup actions executed.")
else:
for a in actions:
lines.append(
f"- [{a.timestamp_utc}] action={a.action} target=`{a.target}` status={a.status} "
f"reclaimed_mb={a.reclaimed_mb:.2f} reason={a.reason}"
)
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text("\n".join(lines), encoding="utf-8")
def write_disk_guard_report(
path: Path,
snapshots: Iterable[DiskSnapshot],
actions: Iterable[DiskCleanupAction],
*,
min_free_gb: float,
) -> None:
snaps = list(snapshots)
acts = list(actions)
lines = [
"# Disk Guard Report",
"",
f"- Min free threshold (GB): `{min_free_gb}`",
f"- Snapshots captured: `{len(snaps)}`",
f"- Cleanup actions: `{len(acts)}`",
"",
"## Snapshot Timeline",
]
for s in snaps:
lines.append(
f"- [{s.timestamp_utc}] stage={s.stage} free_gb={s.free_gb:.2f} repo_size_gb={s.repo_size_gb:.2f} "
f"projected_output_gb={s.projected_output_gb:.2f} projected_free_after_gb={s.projected_free_after_gb:.2f} note={s.note}"
)
lines.extend(["", "## Cleanup Summary"])
reclaimed = sum(a.reclaimed_mb for a in acts if a.status == "ok")
lines.append(f"- Total reclaimed MB: `{reclaimed:.2f}`")
outside_repo_violations = [a for a in acts if a.reason == "outside_repo_guard" and a.status == "ok"]
lines.append(f"- Outside-repo destructive actions: `{len(outside_repo_violations)}`")
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text("\n".join(lines), encoding="utf-8")
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