code/hf_ckpt_sweeper.py

"""Upload training ckpts from local NFS dirs to HF dataset `AE-W/ckpt`, then
delete the local copy to free disk. Keeps ``last.ckpt`` local so SLURM
preemption can still resume.

One sweeper process per node, runs every SWEEP_INTERVAL seconds. Safe to run
alongside live training — a ckpt is only swept if its mtime is older than
SKIP_MTIME_SECONDS (avoids racing Lightning's writer).

Upload layout on HF:
    AE-W/ckpt (dataset)
    ├── audioldm_bg2fg_rebalance/<ckpt>.ckpt
    ├── audioldm_bg2fg_controlnet_rebalance/<ckpt>.ckpt
    ├── sa_open_bg2fg_rebalance/<run_id>/<ckpt>.ckpt
    └── frieren_bg2fg_rebalance/<ckpt>.ckpt
"""
from __future__ import annotations

import os
import sys
import time
import traceback
from pathlib import Path
from typing import Iterable

from huggingface_hub import HfApi, create_repo
from huggingface_hub.utils import HfHubHTTPError


HF_REPO = "AE-W/ckpt"
HF_REPO_TYPE = "dataset"
SWEEP_INTERVAL = 60         # seconds between scans
SKIP_MTIME_SECONDS = 90     # skip files modified in the last N seconds (avoid writer race)
KEEP_LOCAL_NAMES = {"last.ckpt"}  # never delete the resume anchor
DELETE_AFTER_UPLOAD = True

# Model key → root checkpoint directory. Globs supported via Path.glob.
WATCH: dict[str, list[str]] = {
    "audioldm_bg2fg_rebalance": [
        "/nfs/turbo/coe-ahowens-nobackup/dingqy/AudioLDM-training-finetuning/"
        "log/latent_diffusion/2023_08_23_reproduce_audioldm/"
        "audioldm_bg2fg_rebalance/checkpoints",
    ],
    "audioldm_bg2fg_controlnet_rebalance": [
        "/nfs/turbo/coe-ahowens-nobackup/dingqy/AudioLDM-training-finetuning/"
        "log/latent_diffusion/2023_08_23_reproduce_audioldm/"
        "audioldm_bg2fg_controlnet_rebalance/checkpoints",
    ],
    "sa_open_bg2fg_rebalance": [
        # SA nests one wandb run_id level; walk into it.
        "/nfs/turbo/coe-ahowens-nobackup/dingqy/friendly-stable-audio-tools/"
        "output_rebalance/sa_open_bg2fg_rebalance/*/checkpoints",
    ],
    "frieren_bg2fg_rebalance": [
        "/nfs/turbo/coe-ahowens-nobackup/dingqy/frieren/frieren_bg2fg_logs/"
        "bg2fg_rebalance/checkpoints",
    ],
}

# v2 (AudioLDM2-large, Diffusers/accelerate) saves a *directory* per step
# instead of a single .ckpt — `step_NNNNNNNN/{unet/, optimizer.pt, rng.pt,
# meta.json}`. Each save is ~8.4 GB (UNet 2.7 GB + optimizer state 5.7 GB).
# Resume anchor is `<root>/last`, a symlink to the most recent step dir
# (NOT a fixed name like v1's `last.ckpt`).
#
# We sweep these by uploading the whole step dir as a folder, then deleting
# it locally — all dirs except the one `last` currently points to.
WATCH_V2: dict[str, list[str]] = {
    "audioldm2_bg2fg_rebalance": [
        "/nfs/turbo/coe-ahowens-nobackup/dingqy/AudioLDM-training-finetuning/"
        "log/audioldm2_v2/audioldm2_bg2fg_rebalance",
    ],
    "audioldm2_bg2fg_controlnet_rebalance": [
        "/nfs/turbo/coe-ahowens-nobackup/dingqy/AudioLDM-training-finetuning/"
        "log/audioldm2_v2/audioldm2_bg2fg_controlnet_rebalance",
    ],
}


def iter_ckpt_dirs(patterns: Iterable[str]) -> list[Path]:
    """Resolve glob patterns to existing directories."""
    out: list[Path] = []
    for pat in patterns:
        if "*" in pat:
            # Expand glob relative to filesystem root.
            root = Path(pat.split("*", 1)[0])
            if not root.parent.exists():
                continue
            rest = pat[len(str(root)):]
            # Simple glob via Path.glob
            try:
                out.extend(Path(p) for p in Path("/").glob(pat.lstrip("/")))
            except Exception:
                pass
        else:
            p = Path(pat)
            if p.exists():
                out.append(p)
    return [d for d in out if d.is_dir()]


def eligible_ckpts(root: Path) -> list[Path]:
    """Return .ckpt files ready for upload (mtime-stable, not in KEEP list)."""
    now = time.time()
    out: list[Path] = []
    for ckpt in sorted(root.glob("*.ckpt")):
        if ckpt.name in KEEP_LOCAL_NAMES:
            continue
        if not ckpt.is_file():
            continue
        try:
            if now - ckpt.stat().st_mtime < SKIP_MTIME_SECONDS:
                continue
        except FileNotFoundError:
            continue
        out.append(ckpt)
    return out


def upload_one(api: HfApi, local: Path, remote: str) -> bool:
    try:
        api.upload_file(
            path_or_fileobj=str(local),
            path_in_repo=remote,
            repo_id=HF_REPO,
            repo_type=HF_REPO_TYPE,
            commit_message=f"sweep: {remote}",
        )
        return True
    except HfHubHTTPError as e:
        print(f"  upload FAILED {remote}: HTTPError {e}", flush=True)
    except Exception as e:
        print(f"  upload FAILED {remote}: {e}", flush=True)
    return False


def upload_folder_one(api: HfApi, local: Path, remote_prefix: str) -> bool:
    """Upload a directory tree under remote_prefix (preserves layout)."""
    try:
        api.upload_folder(
            folder_path=str(local),
            path_in_repo=remote_prefix,
            repo_id=HF_REPO,
            repo_type=HF_REPO_TYPE,
            commit_message=f"sweep: {remote_prefix}",
        )
        return True
    except HfHubHTTPError as e:
        print(f"  upload FAILED {remote_prefix}: HTTPError {e}", flush=True)
    except Exception as e:
        print(f"  upload FAILED {remote_prefix}: {e}", flush=True)
    return False


def eligible_step_dirs(root: Path) -> tuple[list[Path], Path | None]:
    """Return (uploadable step dirs, the dir to keep locally).

    For v2: scan `<root>/step_*` dirs whose mtime is mtime-stable, exclude
    the one pointed to by `<root>/last` symlink. The keep-anchor is whatever
    `last` points to (so a SLURM resume can still find a working ckpt).
    """
    now = time.time()
    keep: Path | None = None
    last_link = root / "last"
    if last_link.is_symlink():
        try:
            keep = (root / last_link.readlink()).resolve()
        except Exception:
            keep = None

    out: list[Path] = []
    for d in sorted(root.glob("step_*")):
        if not d.is_dir():
            continue
        if keep is not None and d.resolve() == keep:
            continue
        try:
            mtime = max(p.stat().st_mtime for p in d.rglob("*") if p.is_file())
        except (FileNotFoundError, ValueError):
            continue
        if now - mtime < SKIP_MTIME_SECONDS:
            continue
        out.append(d)
    return out, keep


def dir_size_bytes(p: Path) -> int:
    return sum(f.stat().st_size for f in p.rglob("*") if f.is_file())


def main() -> None:
    token = os.environ.get("HF_TOKEN") or ""
    if not token:
        sys.exit("HF_TOKEN unset; `source ~/.hf_token` first")
    api = HfApi(token=token)
    try:
        create_repo(HF_REPO, repo_type=HF_REPO_TYPE, exist_ok=True, token=token)
    except Exception as e:
        print(f"create_repo warning: {e}", flush=True)

    print(
        f"[sweeper] target: https://huggingface.co/datasets/{HF_REPO}  "
        f"interval={SWEEP_INTERVAL}s  skip_mtime<{SKIP_MTIME_SECONDS}s",
        flush=True,
    )

    while True:
        t0 = time.time()
        # v1-style: per-file *.ckpt sweep
        for model, patterns in WATCH.items():
            for root in iter_ckpt_dirs(patterns):
                for ckpt in eligible_ckpts(root):
                    # SA path has an extra run_id dir we want to preserve.
                    if model == "sa_open_bg2fg_rebalance":
                        run_id = root.parent.name
                        remote = f"{model}/{run_id}/{ckpt.name}"
                    else:
                        remote = f"{model}/{ckpt.name}"
                    size_mb = ckpt.stat().st_size / 1e6
                    print(f"-> {ckpt}  ({size_mb:.1f} MB) -> {remote}", flush=True)
                    if upload_one(api, ckpt, remote) and DELETE_AFTER_UPLOAD:
                        try:
                            ckpt.unlink()
                            print(f"   deleted local {ckpt.name}", flush=True)
                        except Exception as e:
                            print(f"   delete failed: {e}", flush=True)

        # v2-style: per-step-dir sweep (Diffusers layout)
        for model, patterns in WATCH_V2.items():
            for root in iter_ckpt_dirs(patterns):
                step_dirs, keep = eligible_step_dirs(root)
                if step_dirs:
                    print(f"[v2 {model}] {len(step_dirs)} step dir(s) eligible, "
                          f"keep={keep.name if keep else '(none)'}", flush=True)
                for d in step_dirs:
                    remote = f"{model}/{d.name}"
                    size_gb = dir_size_bytes(d) / 1e9
                    print(f"-> {d}  ({size_gb:.2f} GB folder) -> {remote}", flush=True)
                    if upload_folder_one(api, d, remote) and DELETE_AFTER_UPLOAD:
                        try:
                            import shutil
                            shutil.rmtree(d)
                            print(f"   deleted local {d.name}", flush=True)
                        except Exception as e:
                            print(f"   delete failed: {e}", flush=True)

        elapsed = time.time() - t0
        time.sleep(max(1.0, SWEEP_INTERVAL - elapsed))


if __name__ == "__main__":
    try:
        main()
    except KeyboardInterrupt:
        print("\n[sweeper] interrupted", flush=True)
    except Exception:
        traceback.print_exc()
        sys.exit(1)