Files
ComfyAssets-ComfyUI_PromptM…/py/lora_import.py
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Vito 9a90c7677f fix(exit): stop running jobs, downloads and encoders at Ctrl+C instead of waiting for them (#376) (#417)
* fix(exit): stop running jobs before Python joins the executor threads (#376)

ComfyUI returns from main.py after Ctrl+C without closing its event loop,
and Python joins every executor thread before any atexit callback runs, so
a scan batch, thumbnail batch or model download in flight kept ComfyUI
alive until it ended (on Windows each ffmpeg up to its 30 s timeout).

The package now registers a threading._register_atexit hook (after
concurrent.futures', so it runs before that join) that sets an exit signal
and kills the running encoder processes. Job.cancelled follows the signal,
so every check a job already makes between files stops it at exit;
map_parallel starts no further item, the scan walk stops between folders and
a tagging model download stops before its next chunk. Without the internal
hook exit behaves as before.

* fix(exit): abort Xet downloads and stop LoRA staging at exit (#376)

Review follow-ups: Xet transfers report progress from native code and ignore
the chunk checkpoint, so the exit hook calls huggingface_hub's own
abort_xet_session when it is loaded; an aborted download logs as stopped.
LoRA import staging reads the exit signal itself, so the legacy LoRA scan
stops too. The test's fake encoder outlives the ceiling by less, and
TESTING.md states the download limits of older huggingface_hub.
2026-10-28 10:15:28 +00:00

230 lines
9.2 KiB
Python

"""The staged LoRA reference import (#221, #249 System S10, #355).
The import reads LoraManager's ``*.metadata.json`` sidecars and turns each
LoRA into one prompt of the ``lora-manager`` category, tagged with its name and
trigger words and linked to its images. It runs in three stages, and only the
last writes to the database:
1. **discover**: read LoraManager's settings the way LoraManager does
(``py/lora_manager_layout.py``: the settings file from the environment
folder, the portable plugin file or the user config folder; the LoRA
roots, the storage mode, the sidecar and example-images roots) and find
the sidecars (``discover``). In ``alongside`` mode a sidecar beside its
model is kept when ``<base>.safetensors`` exists; in ``centralized`` mode
every sidecar under the sidecar root is kept when its ``file_path`` names
a model inside a LoRA root. ``fingerprint`` covers every scanned sidecar,
kept or skipped (path, size, modification time, kept or not, #362) and the
layout; ``preview`` adds the counts a review shows. Nothing is written
and nothing is requested.
2. **stage**: read each sidecar and build its record. Its LoraManager preview
and example images are linked where they are (``local_media``); only a
LoRA without any local image downloads its CivitAI example images into the
image cache first (best effort, counted). A cancelled or failed stage
leaves the database untouched; downloaded images stay in the cache.
3. **replace**: the sidecars are found and fingerprinted once more (a file
changed, removed or added while staging aborts the import), then
``PromptDatabase.replace_category_prompts`` swaps the old collection for
the staged records in one transaction (or changes nothing).
Both the System job (``POST /lora/import/apply``) and the legacy ``POST
/lora/scan`` run these stages (``py/api/lora_integration.py``).
"""
import hashlib
from dataclasses import dataclass, field
from pathlib import Path
from typing import AbstractSet, Callable, Dict, List, Optional
from . import lora_utils
from .lora_manager_layout import (
Discovery,
discover_sidecars,
layout_summary,
local_media,
)
try:
from ..utils import exit_signal
from ..utils.hashing import generate_prompt_hash
except ImportError: # pragma: no cover - flat test imports
from utils import exit_signal
from utils.hashing import generate_prompt_hash
LORA_CATEGORY = "lora-manager"
JOB_TITLE = "LoRA reference import"
# The job's outcome groups, in its counter-tile order.
GROUPS = ("imported", "linked", "skipped", "downloaded", "download_errors", "errors")
class ImportCancelled(Exception):
"""The import was cancelled while staging; nothing was written."""
def discover(lora_manager_path: Optional[str]) -> Discovery:
"""The sidecars of every LoRA whose model exists inside a LoRA root.
``lora_manager_path`` is resolved as the integration resolves it (an
install under ``custom_nodes``; empty means auto-detection). Raises
whatever listing a folder raised: a discovery that cannot see every
folder must not replace the collection with part of it.
"""
return discover_sidecars(lora_utils.lora_manager_layout(lora_manager_path))
def fingerprint(discovery: Discovery) -> str:
"""What a review saw: the layout, then every scanned sidecar, kept or
skipped, with its path, size, modification time and whether it was kept
(#362). A LoraManager save that changes unrelated settings leaves it as
it was."""
layout = discovery.layout
digest = hashlib.sha256()
for value in (
layout.settings_path,
layout.source,
layout.error,
layout.mode,
"\0".join(layout.lora_roots),
layout.sidecar_root,
layout.example_images_root,
layout.library,
):
digest.update(f"{value}\n".encode("utf-8", "surrogatepass"))
for name in discovery.unreadable:
digest.update(f"unreadable\0{name}\n".encode("utf-8", "surrogatepass"))
kept = {str(sidecar.metadata_path) for sidecar in discovery.sidecars}
for path in discovery.scanned_files:
flag = 1 if str(path) in kept else 0
try:
stat = path.stat()
entry = f"{path}\0{stat.st_size}\0{stat.st_mtime_ns}\0{flag}\n"
except OSError:
entry = f"{path}\0missing\0{flag}\n"
digest.update(entry.encode("utf-8", "surrogatepass"))
return "sha256:" + digest.hexdigest()
def preview(
lora_manager_path: Optional[str],
cache_dir: Path,
media_extensions: AbstractSet[str],
) -> Dict:
"""The review's counts (blocking; reads only, requests nothing).
``{lora_files, with_metadata, skipped, with_local_media,
planned_downloads, fingerprint, names, layout}``: the metadata files
seen, the kept LoRAs whose sidecar parses, the rest, the LoRAs with a
local image, the CivitAI images an import would download for the LoRAs
without one (not yet in the cache), the first LoRA names and what the
layout says (``layout_summary``).
"""
discovery = discover(lora_manager_path)
layout = discovery.layout
with_metadata = 0
with_local_media = 0
planned = 0
names = []
for sidecar in discovery.sidecars:
metadata = lora_utils.read_lora_metadata(sidecar.metadata_path)
if not metadata:
continue
with_metadata += 1
if local_media(sidecar, metadata, layout, media_extensions):
with_local_media += 1
else:
planned += lora_utils.planned_civitai_downloads(
metadata, sidecar.metadata_path, cache_dir
)
if len(names) < 50:
names.append(lora_utils.get_model_name_from_metadata(metadata))
return {
"lora_files": discovery.scanned,
"with_metadata": with_metadata,
"skipped": discovery.scanned - with_metadata,
"with_local_media": with_local_media,
"planned_downloads": planned,
"fingerprint": fingerprint(discovery),
"names": names,
"layout": layout_summary(layout, Path.home()),
}
def build_record(metadata: Dict, path: Path, images: List[str]) -> Dict:
"""The prompt a LoRA becomes: its example prompt (else its name), tags, images."""
model_name = lora_utils.get_model_name_from_metadata(metadata)
text = lora_utils.get_example_prompt_from_metadata(metadata) or model_name
tags = ["lora-manager", f"lora:{model_name}"]
tags.extend(lora_utils.get_trigger_words_from_metadata(metadata))
return {
"name": model_name,
"text": text,
"hash": generate_prompt_hash(text),
"tags": list(dict.fromkeys(tags)),
"images": images,
}
@dataclass
class StagedImport:
"""The records an import will write, and what staging counted."""
total: int
records: List[Dict] = field(default_factory=list)
skipped: List[str] = field(default_factory=list)
stats: Dict[str, int] = field(
default_factory=lambda: {"downloaded": 0, "download_errors": 0}
)
def stage(
discovery: Discovery,
cache_dir: Path,
api_key: str = "",
*,
media_extensions: AbstractSet[str],
on_record: Optional[Callable[[int, Dict, "StagedImport"], None]] = None,
cancelled: Callable[[], bool] = lambda: False,
logger=None,
) -> StagedImport:
"""Read each sidecar and build its record with its images.
Blocking. Local images (``local_media``) come first; a LoRA without any
downloads its CivitAI example images. A sidecar that cannot be read, or
whose record fails to build, is skipped by its name, as are the
centralized sidecars discovery could not parse. ``cancelled()`` is asked
before each sidecar, and so is the exit signal (#376: the legacy scan's
``cancelled`` does not read it); either raises ImportCancelled. ``on_record(index,
record_or_None, staged)`` follows each one.
"""
sidecars = discovery.sidecars
staged = StagedImport(total=len(sidecars))
staged.skipped.extend(discovery.unreadable)
for index, sidecar in enumerate(sidecars):
if cancelled() or exit_signal.requested():
raise ImportCancelled()
record = None
path = sidecar.metadata_path
metadata = lora_utils.read_lora_metadata(path)
if not metadata:
staged.skipped.append(path.name)
else:
try:
local = local_media(
sidecar, metadata, discovery.layout, media_extensions
)
remote = []
if not local:
remote = lora_utils.download_civitai_images(
metadata, path, cache_dir, api_key, stats=staged.stats
)
images = list(dict.fromkeys([*local, *remote]))
record = build_record(metadata, path, images)
staged.records.append(record)
except Exception as error: # one LoRA never stops the import
name = lora_utils.get_model_name_from_metadata(metadata)
if logger is not None:
logger.warning(f"Failed to prepare LoRA {name}: {error}")
staged.skipped.append(name)
if on_record is not None:
on_record(index, record, staged)
return staged