libs/benchmark/disk_guard.py

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")