Files
neuron-tai/packages/node/meshnet_node/downloader.py

545 lines
20 KiB
Python

"""Shard downloader — fetches model shards from peers or HuggingFace Hub.
Cache layout: ~/.cache/meshnet/shards/<model>/
For "stub-model" (no HF repo), a placeholder JSON file is written so the
test suite never touches the network.
"""
import hashlib
import json
import os
import shutil
import tarfile
import tempfile
import time
import urllib.parse
import urllib.request
from pathlib import Path
from typing import Any
_DEFAULT_CACHE = Path.home() / ".cache" / "meshnet" / "shards"
_PEER_TIMEOUT_SECONDS = 2.0
# Model-source tar streams are multi-GB; a short socket timeout must not kill
# them on a transient read stall. Peer probes keep the short timeout because
# they run sequentially before the race and may hit dead endpoints.
_MODEL_SOURCE_TIMEOUT_SECONDS = 30.0
_PROGRESS_INTERVAL_BYTES = 512 * 1024 * 1024
_FILE_RETRY_ATTEMPTS = 3
def compute_shard_checksum(shard_dir: Path) -> str:
"""Return a stable SHA256 checksum for all regular files in a shard."""
digest = hashlib.sha256()
for path in sorted(p for p in shard_dir.rglob("*") if p.is_file()):
rel_path = path.relative_to(shard_dir).as_posix()
digest.update(rel_path.encode())
digest.update(b"\0")
with path.open("rb") as f:
for chunk in iter(lambda: f.read(1024 * 1024), b""):
digest.update(chunk)
digest.update(b"\0")
return digest.hexdigest()
def write_shard_archive(shard_dir: Path, out_file: Any) -> None:
"""Write a tar archive for *shard_dir* to a binary file-like object."""
# dereference: HF cache snapshots are symlinks into blobs/ — ship contents.
with tarfile.open(fileobj=out_file, mode="w|", dereference=True) as archive:
for path in sorted(p for p in shard_dir.rglob("*") if p.is_file()):
archive.add(path, arcname=path.relative_to(shard_dir).as_posix())
def _safe_extract_shard(archive_path: Path, target_dir: Path) -> None:
target_root = target_dir.resolve()
with tarfile.open(archive_path, mode="r") as archive:
for member in archive.getmembers():
dest = (target_dir / member.name).resolve()
if target_root != dest and target_root not in dest.parents:
raise ValueError("peer shard archive contains an unsafe path")
archive.extractall(target_dir)
def _peer_download_url(
endpoint: str,
model: str,
shard_start: int,
shard_end: int,
) -> str:
query = urllib.parse.urlencode({
"model": model,
"shard_start": shard_start,
"shard_end": shard_end,
})
return f"{endpoint.rstrip('/')}/v1/shards/download?{query}"
def _download_shard_from_peer(
peer: dict,
model: str,
shard_start: int,
shard_end: int,
shard_dir: Path,
timeout: float,
) -> bool:
endpoint = peer.get("endpoint")
checksum = peer.get("checksum")
if not isinstance(endpoint, str) or not isinstance(checksum, str):
return False
shard_dir.parent.mkdir(parents=True, exist_ok=True)
with tempfile.TemporaryDirectory(prefix="meshnet-peer-", dir=shard_dir.parent) as tmp:
tmp_root = Path(tmp)
archive_path = tmp_root / "shard.tar"
extract_dir = tmp_root / "extract"
extract_dir.mkdir()
try:
with urllib.request.urlopen(
_peer_download_url(endpoint, model, shard_start, shard_end),
timeout=timeout,
) as resp, archive_path.open("wb") as out:
while True:
chunk = resp.read(1024 * 1024)
if not chunk:
break
out.write(chunk)
_safe_extract_shard(archive_path, extract_dir)
if compute_shard_checksum(extract_dir) != checksum:
return False
_merge_tree(extract_dir, shard_dir)
return True
except Exception:
return False
class _TarOnlySource(Exception):
"""The server ignored ?file= and streamed a tar — no single-file support."""
def _fetch_source_file(
file_url: str,
dest: Path,
timeout: float,
on_chunk=None,
) -> int:
"""Download one file; skip if *dest* already matches the remote size.
Returns the file's final size. Raises on any failure, including a
short read against the server's Content-Length.
"""
with urllib.request.urlopen(file_url, timeout=timeout) as resp:
ctype = resp.getheader("Content-Type") if hasattr(resp, "getheader") else None
if isinstance(ctype, str) and "x-tar" in ctype:
raise _TarOnlySource(file_url)
length = resp.getheader("Content-Length") if hasattr(resp, "getheader") else None
expected = int(length) if isinstance(length, str) and length.isdigit() else None
if expected is not None and dest.exists() and dest.stat().st_size == expected:
if on_chunk is not None:
on_chunk(expected)
return expected # complete from an earlier attempt/run
received = 0
with dest.open("wb") as out:
while True:
chunk = resp.read(1024 * 1024)
if not chunk:
break
out.write(chunk)
received += len(chunk)
if on_chunk is not None:
on_chunk(len(chunk))
if expected is not None and received != expected:
raise OSError(f"short read: got {received} of {expected} bytes")
return received
class _SourceProgress:
"""tqdm bar over the whole per-file download (total / speed / ETA),
falling back to plain per-file prints when tqdm is unavailable."""
def __init__(self, enabled: bool, label: str, total_bytes: int | None):
self._label = label
self._bar = None
self._enabled = enabled
if enabled and total_bytes:
try:
from tqdm import tqdm # type: ignore[import]
self._bar = tqdm(
total=total_bytes,
unit="B",
unit_scale=True,
unit_divisor=1024,
desc=f"Downloading ({label})",
)
except Exception:
self._bar = None
def add_bytes(self, n: int) -> None:
if self._bar is not None:
self._bar.update(n)
def rewind(self, n: int) -> None:
"""Roll the bar back after a failed attempt so retries don't double-count."""
if self._bar is not None and n:
self._bar.update(-n)
def file_done(self, index: int, count: int, rel: str, size: int, reused: bool) -> None:
note = "already complete, " if reused else ""
line = f" {self._label}: [{index}/{count}] {rel} ({note}{size / 1e9:.2f} GB)"
if self._bar is not None:
self._bar.set_postfix_str(f"{index}/{count} files", refresh=False)
elif self._enabled:
print(line, flush=True)
def message(self, text: str) -> None:
if self._bar is not None:
self._bar.write(text)
elif self._enabled:
print(text, flush=True)
def close(self) -> None:
if self._bar is not None:
self._bar.close()
def _reuse_local_file(expected: int, dest: Path, final: Path) -> bool:
"""Reuse an already-complete copy of a file instead of re-downloading."""
if dest.exists() and dest.stat().st_size == expected:
return True
if final.exists() and final.stat().st_size == expected:
try:
os.link(final, dest)
except OSError:
shutil.copy2(final, dest)
return True
return False
def _valid_source_rel_files(source: dict) -> list[str]:
return [
rel for rel in (source.get("files") or [])
if isinstance(rel, str) and rel and not rel.startswith("/") and ".." not in Path(rel).parts
]
def _source_files_cached(source: dict, shard_dir: Path) -> bool:
rel_files = _valid_source_rel_files(source)
if not rel_files:
return False
sizes = source.get("file_sizes")
if not isinstance(sizes, dict):
return False
for rel in rel_files:
expected = sizes.get(rel)
path = shard_dir / rel
if not isinstance(expected, int) or not path.exists() or path.stat().st_size != expected:
return False
return True
def _merge_tree(src: Path, dest: Path) -> None:
dest.mkdir(parents=True, exist_ok=True)
for path in sorted(p for p in src.rglob("*") if p.is_file()):
target = dest / path.relative_to(src)
target.parent.mkdir(parents=True, exist_ok=True)
if target.exists():
target.unlink()
shutil.move(str(path), str(target))
def _download_source_files(
source: dict,
shard_dir: Path,
timeout: float,
progress: bool,
label: str,
) -> Path | None:
"""Per-file download from a model source — retries and resumes per file.
Far more robust than one multi-GB tar stream on flaky links: a dropped
connection costs at most one file, and completed files are skipped when
the download is retried or the node is restarted.
"""
url = source.get("url")
rel_files = _valid_source_rel_files(source)
if not isinstance(url, str) or not url or not rel_files:
return None
sizes = source.get("file_sizes")
if not isinstance(sizes, dict):
sizes = {}
partial_dir = shard_dir.parent / f"{shard_dir.name}.partial"
partial_dir.mkdir(parents=True, exist_ok=True)
sep = "&" if "?" in url else "?"
known_sizes = [sizes.get(rel) for rel in rel_files]
total_bytes = sum(s for s in known_sizes if isinstance(s, int)) if all(
isinstance(s, int) for s in known_sizes
) else None
tracker_bar = _SourceProgress(progress, label, total_bytes)
try:
for index, rel in enumerate(rel_files, start=1):
dest = partial_dir / rel
dest.parent.mkdir(parents=True, exist_ok=True)
known_size = sizes.get(rel)
if isinstance(known_size, int) and _reuse_local_file(known_size, dest, shard_dir / rel):
tracker_bar.add_bytes(known_size)
tracker_bar.file_done(index, len(rel_files), rel, known_size, reused=True)
continue
file_url = f"{url}{sep}{urllib.parse.urlencode({'file': rel})}"
for attempt in range(1, _FILE_RETRY_ATTEMPTS + 1):
counted = 0
def _on_chunk(n: int) -> None:
nonlocal counted
counted += n
tracker_bar.add_bytes(n)
try:
size = _fetch_source_file(file_url, dest, timeout, on_chunk=_on_chunk)
tracker_bar.file_done(index, len(rel_files), rel, size, reused=False)
break
except _TarOnlySource:
tracker_bar.message(f" {label}: no single-file support — using tar stream")
return None
except Exception as exc:
tracker_bar.rewind(counted)
tracker_bar.message(
f" {label}: {rel} attempt {attempt}/{_FILE_RETRY_ATTEMPTS} failed: {exc!r}"
)
if attempt == _FILE_RETRY_ATTEMPTS:
return None
time.sleep(1.0 * attempt)
finally:
tracker_bar.close()
_merge_tree(partial_dir, shard_dir)
try:
partial_dir.rmdir()
except OSError:
pass
return shard_dir
def _download_model_source(
source: dict,
shard_dir: Path,
timeout: float,
progress: bool = False,
label: str = "model-source",
) -> Path | None:
# Prefer per-file transfers whenever the source advertises its file list;
# fall through to the tar stream if the server lacks single-file support
# or per-file transfers keep failing.
if source.get("files"):
fetched = _download_source_files(source, shard_dir, timeout, progress, label)
if fetched is not None:
return fetched
url = source.get("url")
if not isinstance(url, str) or not url:
endpoint = source.get("endpoint")
if not isinstance(endpoint, str):
return None
url = f"{endpoint.rstrip('/')}/v1/model-files/download"
shard_dir.parent.mkdir(parents=True, exist_ok=True)
with tempfile.TemporaryDirectory(prefix="meshnet-model-source-", dir=shard_dir.parent) as tmp:
tmp_root = Path(tmp)
archive_path = tmp_root / "model-files.tar"
extract_dir = tmp_root / "extract"
extract_dir.mkdir()
try:
received = 0
next_report = _PROGRESS_INTERVAL_BYTES
with urllib.request.urlopen(url, timeout=timeout) as resp, archive_path.open("wb") as out:
while True:
chunk = resp.read(1024 * 1024)
if not chunk:
break
out.write(chunk)
received += len(chunk)
if progress and received >= next_report:
print(f" {label}: {received / 1e9:.1f} GB received ...", flush=True)
next_report += _PROGRESS_INTERVAL_BYTES
if progress:
print(f" {label}: transfer complete ({received / 1e9:.2f} GB), extracting ...", flush=True)
_safe_extract_shard(archive_path, extract_dir)
_merge_tree(extract_dir, shard_dir)
return shard_dir
except Exception as exc:
if progress:
print(f" {label}: download failed ({url}): {exc!r}", flush=True)
return None
def _download_huggingface_subset(
hf_repo: str,
cache_dir: Path,
shard_dir: Path,
allow_patterns: list[str] | None,
) -> Path:
from huggingface_hub import snapshot_download # type: ignore[import]
kwargs = {
"repo_id": hf_repo,
"cache_dir": str(cache_dir),
"local_dir": str(shard_dir),
}
if allow_patterns:
kwargs["allow_patterns"] = allow_patterns
try:
return Path(snapshot_download(**kwargs))
except TypeError:
kwargs.pop("allow_patterns", None)
return Path(snapshot_download(**kwargs))
def _allow_patterns_from_sources(model_sources: list[dict]) -> list[str] | None:
patterns: set[str] = set()
for source in model_sources:
for rel in source.get("files") or []:
if isinstance(rel, str) and rel and not rel.startswith("/") and ".." not in Path(rel).parts:
patterns.add(rel)
return sorted(patterns) if patterns else None
def _allow_patterns_from_remote_index(
hf_repo: str,
cache_dir: Path,
shard_start: int,
shard_end: int,
) -> list[str] | None:
"""Fetch just the SafeTensors index + config (a few KB) from HF and compute
which weight files the assigned layer range needs, so a HuggingFace fallback
download stays layer-scoped even when the tracker has no model_sources
(e.g. it has no local snapshot for this repo cached yet)."""
try:
from huggingface_hub import hf_hub_download # type: ignore[import]
from .safetensors_selection import (
INDEX_FILENAME,
METADATA_FILENAMES,
layers_from_config_dict,
select_files_for_layers_from_index,
)
index_path = hf_hub_download(repo_id=hf_repo, filename=INDEX_FILENAME, cache_dir=str(cache_dir))
weight_map = json.loads(Path(index_path).read_text(encoding="utf-8")).get("weight_map")
except Exception:
return None
if not isinstance(weight_map, dict):
return None
total_layers: int | None = None
try:
config_path = hf_hub_download(repo_id=hf_repo, filename="config.json", cache_dir=str(cache_dir))
config = json.loads(Path(config_path).read_text(encoding="utf-8"))
total_layers = layers_from_config_dict(config)
except Exception:
pass
selected = select_files_for_layers_from_index(
weight_map, shard_start, shard_end, total_layers=total_layers
)
return sorted(selected | METADATA_FILENAMES)
def download_shard(
model: str,
shard_start: int,
shard_end: int,
cache_dir: Path = _DEFAULT_CACHE,
hf_repo: str | None = None,
progress: bool = True,
peers: list[dict] | None = None,
model_sources: list[dict] | None = None,
peer_timeout: float = _PEER_TIMEOUT_SECONDS,
) -> Path:
"""Ensure the shard is present in *cache_dir* and return its local path.
When *hf_repo* is None (or *model* is ``"stub-model"``), a placeholder
weights file is created locally — no network access required. This keeps
the test suite hermetic while the real download path is exercised by
passing a non-stub *hf_repo*.
"""
shard_dir = cache_dir / model
if progress:
print(f" Target location: {shard_dir}", flush=True)
for source in model_sources or []:
label = str(source.get("type") or "model-source")
if _source_files_cached(source, shard_dir):
if progress:
print(f" [{label}] requested files already cached at {shard_dir}", flush=True)
return shard_dir
for peer in peers or []:
if progress:
print(f" Trying peer shard download from {peer.get('endpoint')} ...", flush=True)
if _download_shard_from_peer(
peer,
model,
shard_start,
shard_end,
shard_dir,
timeout=peer_timeout,
):
if progress:
print(" download source: peer", flush=True)
return shard_dir
shard_dir.mkdir(parents=True, exist_ok=True)
if hf_repo is None or model == "stub-model":
stub_file = shard_dir / "weights.json"
if not stub_file.exists():
stub_file.write_text(json.dumps({
"model": model,
"shard_start": shard_start,
"shard_end": shard_end,
"stub": True,
}))
if progress:
print(f" [stub] shard placeholder written to {stub_file}", flush=True)
else:
if progress:
print(f" [stub] shard already cached at {shard_dir}", flush=True)
return shard_dir
if progress:
print(
f" Downloading layers {shard_start}-{shard_end} from {hf_repo} ...",
flush=True,
)
# Tracker (or peer) model sources are preferred outright — usually LAN-fast.
# HuggingFace is only the fallback when every advertised source fails.
for source in model_sources or []:
label = str(source.get("type") or "model-source")
if progress:
print(f" Downloading from {label} model source (HuggingFace is the fallback) ...", flush=True)
fetched = _download_model_source(
source,
shard_dir,
timeout=max(peer_timeout, _MODEL_SOURCE_TIMEOUT_SECONDS),
progress=progress,
label=label,
)
if fetched is not None:
if progress:
print(f" download source: {label}", flush=True)
return fetched
if model_sources and progress:
print(" All model sources failed — falling back to HuggingFace ...", flush=True)
allow_patterns = None
if model_sources:
allow_patterns = _allow_patterns_from_sources(model_sources)
if allow_patterns is None:
allow_patterns = _allow_patterns_from_remote_index(hf_repo, cache_dir, shard_start, shard_end)
if progress:
if allow_patterns:
print(" download source: HuggingFace (layer-filtered)", flush=True)
else:
print(
" download source: HuggingFace (full snapshot — no SafeTensors index found)",
flush=True,
)
return _download_huggingface_subset(hf_repo, cache_dir, shard_dir, allow_patterns)