mirror of
https://github.com/willmiao/ComfyUI-Lora-Manager.git
synced 2026-03-22 05:32:12 -03:00
1035 lines
42 KiB
Python
1035 lines
42 KiB
Python
from __future__ import annotations
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import asyncio
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import json
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import time
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import logging
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import os
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import shutil
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from typing import Any, Dict
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from ..services.service_registry import ServiceRegistry
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from ..utils.example_images_paths import (
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ExampleImagePathResolver,
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ensure_library_root_exists,
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uses_library_scoped_folders,
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)
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from ..utils.metadata_manager import MetadataManager
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from .example_images_processor import ExampleImagesProcessor
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from .example_images_metadata import MetadataUpdater
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from ..services.downloader import get_downloader
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from ..services.settings_manager import get_settings_manager
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class ExampleImagesDownloadError(RuntimeError):
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"""Base error for example image download operations."""
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class DownloadInProgressError(ExampleImagesDownloadError):
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"""Raised when a download is already running."""
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def __init__(self, progress_snapshot: dict) -> None:
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super().__init__("Download already in progress")
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self.progress_snapshot = progress_snapshot
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class DownloadNotRunningError(ExampleImagesDownloadError):
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"""Raised when pause/resume is requested without an active download."""
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def __init__(self, message: str = "No download in progress") -> None:
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super().__init__(message)
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class DownloadConfigurationError(ExampleImagesDownloadError):
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"""Raised when configuration prevents starting a download."""
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logger = logging.getLogger(__name__)
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class _DownloadProgress(dict):
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"""Mutable mapping maintaining download progress with set-aware serialisation."""
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def __init__(self) -> None:
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super().__init__()
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self.reset()
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def reset(self) -> None:
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"""Reset the progress dictionary to its initial state."""
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self.update(
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total=0,
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completed=0,
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current_model='',
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status='idle',
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errors=[],
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last_error=None,
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start_time=None,
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end_time=None,
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processed_models=set(),
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refreshed_models=set(),
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failed_models=set(),
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)
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def snapshot(self) -> dict:
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"""Return a JSON-serialisable snapshot of the current progress."""
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snapshot = dict(self)
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snapshot['processed_models'] = list(self['processed_models'])
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snapshot['refreshed_models'] = list(self['refreshed_models'])
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snapshot['failed_models'] = list(self['failed_models'])
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return snapshot
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def _model_directory_has_files(path: str) -> bool:
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"""Return True when the provided directory exists and contains entries."""
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if not path or not os.path.isdir(path):
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return False
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try:
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with os.scandir(path) as entries:
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for _ in entries:
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return True
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except OSError:
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return False
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return False
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class DownloadManager:
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"""Manages downloading example images for models."""
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def __init__(self, *, ws_manager, state_lock: asyncio.Lock | None = None) -> None:
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self._download_task: asyncio.Task | None = None
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self._is_downloading = False
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self._progress = _DownloadProgress()
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self._ws_manager = ws_manager
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self._state_lock = state_lock or asyncio.Lock()
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self._stop_requested = False
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def _resolve_output_dir(self, library_name: str | None = None) -> str:
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base_path = get_settings_manager().get('example_images_path')
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if not base_path:
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return ''
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return ensure_library_root_exists(library_name)
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async def start_download(self, options: dict):
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"""Start downloading example images for models."""
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async with self._state_lock:
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if self._is_downloading:
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raise DownloadInProgressError(self._progress.snapshot())
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try:
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data = options or {}
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auto_mode = data.get('auto_mode', False)
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optimize = data.get('optimize', True)
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model_types = data.get('model_types', ['lora', 'checkpoint'])
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delay = float(data.get('delay', 0.2))
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settings_manager = get_settings_manager()
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base_path = settings_manager.get('example_images_path')
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if not base_path:
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error_msg = 'Example images path not configured in settings'
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if auto_mode:
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logger.debug(error_msg)
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return {
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'success': True,
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'message': 'Example images path not configured, skipping auto download'
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}
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raise DownloadConfigurationError(error_msg)
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active_library = get_settings_manager().get_active_library_name()
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output_dir = self._resolve_output_dir(active_library)
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if not output_dir:
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raise DownloadConfigurationError('Example images path not configured in settings')
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self._progress.reset()
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self._stop_requested = False
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self._progress['status'] = 'running'
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self._progress['start_time'] = time.time()
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self._progress['end_time'] = None
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progress_file = os.path.join(output_dir, '.download_progress.json')
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progress_source = progress_file
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if uses_library_scoped_folders():
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legacy_root = get_settings_manager().get('example_images_path') or ''
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legacy_progress = os.path.join(legacy_root, '.download_progress.json') if legacy_root else ''
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if legacy_progress and os.path.exists(legacy_progress) and not os.path.exists(progress_file):
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try:
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os.makedirs(output_dir, exist_ok=True)
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shutil.move(legacy_progress, progress_file)
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logger.info(
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"Migrated legacy download progress file '%s' to '%s'",
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legacy_progress,
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progress_file,
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)
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except OSError as exc:
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logger.warning(
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"Failed to migrate download progress file from '%s' to '%s': %s",
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legacy_progress,
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progress_file,
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exc,
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)
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progress_source = legacy_progress
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if os.path.exists(progress_source):
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try:
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with open(progress_source, 'r', encoding='utf-8') as f:
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saved_progress = json.load(f)
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self._progress['processed_models'] = set(saved_progress.get('processed_models', []))
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self._progress['failed_models'] = set(saved_progress.get('failed_models', []))
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logger.debug(
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"Loaded previous progress, %s models already processed, %s models marked as failed",
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len(self._progress['processed_models']),
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len(self._progress['failed_models']),
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)
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except Exception as e:
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logger.error(f"Failed to load progress file: {e}")
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self._progress['processed_models'] = set()
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self._progress['failed_models'] = set()
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else:
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self._progress['processed_models'] = set()
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self._progress['failed_models'] = set()
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self._is_downloading = True
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self._download_task = asyncio.create_task(
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self._download_all_example_images(
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output_dir,
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optimize,
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model_types,
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delay,
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active_library,
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)
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)
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snapshot = self._progress.snapshot()
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except ExampleImagesDownloadError:
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# Re-raise our own exception types without wrapping
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self._is_downloading = False
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self._download_task = None
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raise
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except Exception as e:
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self._is_downloading = False
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self._download_task = None
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logger.error(f"Failed to start example images download: {e}", exc_info=True)
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raise ExampleImagesDownloadError(str(e)) from e
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await self._broadcast_progress(status='running')
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return {
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'success': True,
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'message': 'Download started',
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'status': snapshot
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}
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async def get_status(self, request):
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"""Get the current status of example images download."""
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return {
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'success': True,
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'is_downloading': self._is_downloading,
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'status': self._progress.snapshot(),
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}
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async def pause_download(self, request):
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"""Pause the example images download."""
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async with self._state_lock:
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if not self._is_downloading:
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raise DownloadNotRunningError()
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self._progress['status'] = 'paused'
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await self._broadcast_progress(status='paused')
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return {
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'success': True,
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'message': 'Download paused'
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}
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async def resume_download(self, request):
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"""Resume the example images download."""
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async with self._state_lock:
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if not self._is_downloading:
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raise DownloadNotRunningError()
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if self._progress['status'] == 'paused':
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self._progress['status'] = 'running'
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else:
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raise DownloadNotRunningError(
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f"Download is in '{self._progress['status']}' state, cannot resume"
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)
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await self._broadcast_progress(status='running')
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return {
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'success': True,
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'message': 'Download resumed'
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}
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async def stop_download(self, request):
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"""Stop the example images download after the current model completes."""
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async with self._state_lock:
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if not self._is_downloading:
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raise DownloadNotRunningError()
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if self._progress['status'] in {'completed', 'error', 'stopped'}:
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raise DownloadNotRunningError()
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if self._progress['status'] != 'stopping':
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self._stop_requested = True
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self._progress['status'] = 'stopping'
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await self._broadcast_progress(status='stopping')
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return {
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'success': True,
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'message': 'Download stopping'
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}
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async def _download_all_example_images(
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self,
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output_dir,
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optimize,
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model_types,
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delay,
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library_name,
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):
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"""Download example images for all models."""
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downloader = await get_downloader()
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try:
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# Get scanners
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scanners = []
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if 'lora' in model_types:
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lora_scanner = await ServiceRegistry.get_lora_scanner()
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scanners.append(('lora', lora_scanner))
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if 'checkpoint' in model_types:
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checkpoint_scanner = await ServiceRegistry.get_checkpoint_scanner()
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scanners.append(('checkpoint', checkpoint_scanner))
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if 'embedding' in model_types:
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embedding_scanner = await ServiceRegistry.get_embedding_scanner()
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scanners.append(('embedding', embedding_scanner))
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# Get all models
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all_models = []
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for scanner_type, scanner in scanners:
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cache = await scanner.get_cached_data()
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if cache and cache.raw_data:
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for model in cache.raw_data:
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if model.get('sha256'):
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all_models.append((scanner_type, model, scanner))
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# Update total count
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self._progress['total'] = len(all_models)
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logger.debug(f"Found {self._progress['total']} models to process")
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await self._broadcast_progress(status='running')
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# Process each model
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for i, (scanner_type, model, scanner) in enumerate(all_models):
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async with self._state_lock:
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current_status = self._progress['status']
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if current_status not in {'running', 'paused', 'stopping'}:
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break
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# Main logic for processing model is here, but actual operations are delegated to other classes
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was_remote_download = await self._process_model(
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scanner_type,
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model,
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scanner,
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output_dir,
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optimize,
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downloader,
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library_name,
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)
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# Update progress
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self._progress['completed'] += 1
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async with self._state_lock:
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current_status = self._progress['status']
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should_stop = self._stop_requested and current_status == 'stopping'
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broadcast_status = 'running' if current_status == 'running' else current_status
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await self._broadcast_progress(status=broadcast_status)
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if should_stop:
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break
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# Only add delay after remote download of models, and not after processing the last model
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if (
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was_remote_download
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and i < len(all_models) - 1
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and current_status == 'running'
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):
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await asyncio.sleep(delay)
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async with self._state_lock:
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if self._stop_requested and self._progress['status'] == 'stopping':
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self._progress['status'] = 'stopped'
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self._progress['end_time'] = time.time()
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self._stop_requested = False
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final_status = 'stopped'
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elif self._progress['status'] not in {'error', 'stopped'}:
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self._progress['status'] = 'completed'
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self._progress['end_time'] = time.time()
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self._stop_requested = False
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final_status = 'completed'
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else:
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final_status = self._progress['status']
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self._stop_requested = False
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if self._progress['end_time'] is None:
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self._progress['end_time'] = time.time()
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if final_status == 'completed':
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logger.debug(
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"Example images download completed: %s/%s models processed",
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self._progress['completed'],
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self._progress['total'],
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)
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elif final_status == 'stopped':
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logger.debug(
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"Example images download stopped: %s/%s models processed",
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self._progress['completed'],
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self._progress['total'],
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)
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await self._broadcast_progress(status=final_status)
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except Exception as e:
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error_msg = f"Error during example images download: {str(e)}"
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logger.error(error_msg, exc_info=True)
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self._progress['errors'].append(error_msg)
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self._progress['last_error'] = error_msg
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self._progress['status'] = 'error'
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self._progress['end_time'] = time.time()
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await self._broadcast_progress(status='error', extra={'error': error_msg})
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finally:
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# Save final progress to file
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try:
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self._save_progress(output_dir)
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except Exception as e:
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logger.error(f"Failed to save progress file: {e}")
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# Set download status to not downloading
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async with self._state_lock:
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self._is_downloading = False
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self._download_task = None
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self._stop_requested = False
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async def _process_model(
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self,
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scanner_type,
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model,
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scanner,
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output_dir,
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optimize,
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downloader,
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library_name,
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):
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"""Process a single model download."""
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# Check if download is paused
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while self._progress['status'] == 'paused':
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await asyncio.sleep(1)
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# Check if download should continue
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if self._progress['status'] not in {'running', 'stopping'}:
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logger.info(f"Download stopped: {self._progress['status']}")
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return False # Return False to indicate no remote download happened
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model_hash = model.get('sha256', '').lower()
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model_name = model.get('model_name', 'Unknown')
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model_file_path = model.get('file_path', '')
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model_file_name = model.get('file_name', '')
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try:
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# Update current model info
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self._progress['current_model'] = f"{model_name} ({model_hash[:8]})"
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await self._broadcast_progress(status='running')
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# Skip if already in failed models
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if model_hash in self._progress['failed_models']:
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logger.debug(f"Skipping known failed model: {model_name}")
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return False
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model_dir = ExampleImagePathResolver.get_model_folder(model_hash, library_name)
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existing_files = _model_directory_has_files(model_dir)
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# Skip if already processed AND directory exists with files
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if model_hash in self._progress['processed_models']:
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if existing_files:
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logger.debug(f"Skipping already processed model: {model_name}")
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return False
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logger.info(f"Model {model_name} marked as processed but folder empty or missing, reprocessing")
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# Remove from processed models since we need to reprocess
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self._progress['processed_models'].discard(model_hash)
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if existing_files and model_hash not in self._progress['processed_models']:
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logger.debug(
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"Model folder already populated for %s, marking as processed without download",
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model_name,
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)
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self._progress['processed_models'].add(model_hash)
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return False
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|
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if not model_dir:
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logger.warning(
|
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"Unable to resolve example images folder for model %s (%s)",
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model_name,
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model_hash,
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)
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return False
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# Create model directory
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os.makedirs(model_dir, exist_ok=True)
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|
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# First check for local example images - local processing doesn't need delay
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local_images_processed = await ExampleImagesProcessor.process_local_examples(
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model_file_path, model_file_name, model_name, model_dir, optimize
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)
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# If we processed local images, update metadata
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if local_images_processed:
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await MetadataUpdater.update_metadata_from_local_examples(
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model_hash, model, scanner_type, scanner, model_dir
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)
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self._progress['processed_models'].add(model_hash)
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return False # Return False to indicate no remote download happened
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full_model = await MetadataUpdater.get_updated_model(
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model_hash, scanner
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)
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civitai_payload = (full_model or {}).get('civitai') if full_model else None
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civitai_payload = civitai_payload or {}
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# If no local images, try to download from remote
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if civitai_payload.get('images'):
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images = civitai_payload.get('images', [])
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success, is_stale = await ExampleImagesProcessor.download_model_images(
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model_hash, model_name, images, model_dir, optimize, downloader
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)
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# If metadata is stale, try to refresh it
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|
if is_stale and model_hash not in self._progress['refreshed_models']:
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await MetadataUpdater.refresh_model_metadata(
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model_hash, model_name, scanner_type, scanner, self._progress
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)
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|
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# Get the updated model data
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updated_model = await MetadataUpdater.get_updated_model(
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model_hash, scanner
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)
|
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updated_civitai = (updated_model or {}).get('civitai') if updated_model else None
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updated_civitai = updated_civitai or {}
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if updated_civitai.get('images'):
|
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# Retry download with updated metadata
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updated_images = updated_civitai.get('images', [])
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|
success, _ = await ExampleImagesProcessor.download_model_images(
|
|
model_hash, model_name, updated_images, model_dir, optimize, downloader
|
|
)
|
|
|
|
self._progress['refreshed_models'].add(model_hash)
|
|
|
|
# Mark as processed if successful, or as failed if unsuccessful after refresh
|
|
if success:
|
|
self._progress['processed_models'].add(model_hash)
|
|
else:
|
|
# If we refreshed metadata and still failed, mark as permanently failed
|
|
if model_hash in self._progress['refreshed_models']:
|
|
self._progress['failed_models'].add(model_hash)
|
|
logger.info(f"Marking model {model_name} as failed after metadata refresh")
|
|
|
|
return True # Return True to indicate a remote download happened
|
|
else:
|
|
# No civitai data or images available, mark as failed to avoid future attempts
|
|
self._progress['failed_models'].add(model_hash)
|
|
logger.debug(f"No civitai images available for model {model_name}, marking as failed")
|
|
|
|
# Save progress periodically
|
|
if self._progress['completed'] % 10 == 0 or self._progress['completed'] == self._progress['total'] - 1:
|
|
self._save_progress(output_dir)
|
|
|
|
return False # Default return if no conditions met
|
|
|
|
except Exception as e:
|
|
error_msg = f"Error processing model {model.get('model_name')}: {str(e)}"
|
|
logger.error(error_msg, exc_info=True)
|
|
self._progress['errors'].append(error_msg)
|
|
self._progress['last_error'] = error_msg
|
|
return False # Return False on exception
|
|
|
|
def _save_progress(self, output_dir):
|
|
"""Save download progress to file."""
|
|
try:
|
|
progress_file = os.path.join(output_dir, '.download_progress.json')
|
|
|
|
# Read existing progress file if it exists
|
|
existing_data = {}
|
|
if os.path.exists(progress_file):
|
|
try:
|
|
with open(progress_file, 'r', encoding='utf-8') as f:
|
|
existing_data = json.load(f)
|
|
except Exception as e:
|
|
logger.warning(f"Failed to read existing progress file: {e}")
|
|
|
|
# Create new progress data
|
|
progress_data = {
|
|
'processed_models': list(self._progress['processed_models']),
|
|
'refreshed_models': list(self._progress['refreshed_models']),
|
|
'failed_models': list(self._progress['failed_models']),
|
|
'completed': self._progress['completed'],
|
|
'total': self._progress['total'],
|
|
'last_update': time.time()
|
|
}
|
|
|
|
# Preserve existing fields (especially naming_version)
|
|
for key, value in existing_data.items():
|
|
if key not in progress_data:
|
|
progress_data[key] = value
|
|
|
|
# Write updated progress data
|
|
with open(progress_file, 'w', encoding='utf-8') as f:
|
|
json.dump(progress_data, f, indent=2)
|
|
except Exception as e:
|
|
logger.error(f"Failed to save progress file: {e}")
|
|
|
|
async def start_force_download(self, options: dict):
|
|
"""Force download example images for specific models."""
|
|
|
|
async with self._state_lock:
|
|
if self._is_downloading:
|
|
raise DownloadInProgressError(self._progress.snapshot())
|
|
|
|
data = options or {}
|
|
model_hashes = data.get('model_hashes', [])
|
|
optimize = data.get('optimize', True)
|
|
model_types = data.get('model_types', ['lora', 'checkpoint'])
|
|
delay = float(data.get('delay', 0.2))
|
|
|
|
if not model_hashes:
|
|
raise DownloadConfigurationError('Missing model_hashes parameter')
|
|
|
|
settings_manager = get_settings_manager()
|
|
base_path = settings_manager.get('example_images_path')
|
|
|
|
if not base_path:
|
|
raise DownloadConfigurationError('Example images path not configured in settings')
|
|
active_library = settings_manager.get_active_library_name()
|
|
output_dir = self._resolve_output_dir(active_library)
|
|
if not output_dir:
|
|
raise DownloadConfigurationError('Example images path not configured in settings')
|
|
|
|
self._progress.reset()
|
|
self._stop_requested = False
|
|
self._progress['total'] = len(model_hashes)
|
|
self._progress['status'] = 'running'
|
|
self._progress['start_time'] = time.time()
|
|
self._progress['end_time'] = None
|
|
|
|
self._is_downloading = True
|
|
|
|
await self._broadcast_progress(status='running')
|
|
|
|
try:
|
|
result = await self._download_specific_models_example_images_sync(
|
|
model_hashes,
|
|
output_dir,
|
|
optimize,
|
|
model_types,
|
|
delay,
|
|
active_library,
|
|
)
|
|
|
|
async with self._state_lock:
|
|
self._is_downloading = False
|
|
final_status = self._progress['status']
|
|
|
|
message = 'Force download completed'
|
|
if final_status == 'stopped':
|
|
message = 'Force download stopped'
|
|
|
|
return {
|
|
'success': True,
|
|
'message': message,
|
|
'result': result
|
|
}
|
|
|
|
except Exception as e:
|
|
async with self._state_lock:
|
|
self._is_downloading = False
|
|
logger.error(f"Failed during forced example images download: {e}", exc_info=True)
|
|
await self._broadcast_progress(status='error', extra={'error': str(e)})
|
|
raise ExampleImagesDownloadError(str(e)) from e
|
|
|
|
async def _download_specific_models_example_images_sync(
|
|
self,
|
|
model_hashes,
|
|
output_dir,
|
|
optimize,
|
|
model_types,
|
|
delay,
|
|
library_name,
|
|
):
|
|
"""Download example images for specific models only - synchronous version."""
|
|
|
|
downloader = await get_downloader()
|
|
|
|
try:
|
|
# Get scanners
|
|
scanners = []
|
|
if 'lora' in model_types:
|
|
lora_scanner = await ServiceRegistry.get_lora_scanner()
|
|
scanners.append(('lora', lora_scanner))
|
|
|
|
if 'checkpoint' in model_types:
|
|
checkpoint_scanner = await ServiceRegistry.get_checkpoint_scanner()
|
|
scanners.append(('checkpoint', checkpoint_scanner))
|
|
|
|
if 'embedding' in model_types:
|
|
embedding_scanner = await ServiceRegistry.get_embedding_scanner()
|
|
scanners.append(('embedding', embedding_scanner))
|
|
|
|
# Find the specified models
|
|
models_to_process = []
|
|
for scanner_type, scanner in scanners:
|
|
cache = await scanner.get_cached_data()
|
|
if cache and cache.raw_data:
|
|
for model in cache.raw_data:
|
|
if model.get('sha256') in model_hashes:
|
|
models_to_process.append((scanner_type, model, scanner))
|
|
|
|
# Update total count based on found models
|
|
self._progress['total'] = len(models_to_process)
|
|
logger.debug(f"Found {self._progress['total']} models to process")
|
|
|
|
# Send initial progress via WebSocket
|
|
await self._broadcast_progress(status='running')
|
|
|
|
# Process each model
|
|
success_count = 0
|
|
for i, (scanner_type, model, scanner) in enumerate(models_to_process):
|
|
async with self._state_lock:
|
|
current_status = self._progress['status']
|
|
|
|
if current_status not in {'running', 'paused', 'stopping'}:
|
|
break
|
|
|
|
# Force process this model regardless of previous status
|
|
was_successful = await self._process_specific_model(
|
|
scanner_type,
|
|
model,
|
|
scanner,
|
|
output_dir,
|
|
optimize,
|
|
downloader,
|
|
library_name,
|
|
)
|
|
|
|
if was_successful:
|
|
success_count += 1
|
|
|
|
# Update progress
|
|
self._progress['completed'] += 1
|
|
|
|
async with self._state_lock:
|
|
current_status = self._progress['status']
|
|
should_stop = self._stop_requested and current_status == 'stopping'
|
|
|
|
broadcast_status = 'running' if current_status == 'running' else current_status
|
|
# Send progress update via WebSocket
|
|
await self._broadcast_progress(status=broadcast_status)
|
|
|
|
if should_stop:
|
|
break
|
|
|
|
# Only add delay after remote download, and not after processing the last model
|
|
if (
|
|
was_successful
|
|
and i < len(models_to_process) - 1
|
|
and current_status == 'running'
|
|
):
|
|
await asyncio.sleep(delay)
|
|
|
|
async with self._state_lock:
|
|
if self._stop_requested and self._progress['status'] == 'stopping':
|
|
self._progress['status'] = 'stopped'
|
|
self._progress['end_time'] = time.time()
|
|
self._stop_requested = False
|
|
final_status = 'stopped'
|
|
elif self._progress['status'] not in {'error', 'stopped'}:
|
|
self._progress['status'] = 'completed'
|
|
self._progress['end_time'] = time.time()
|
|
self._stop_requested = False
|
|
final_status = 'completed'
|
|
else:
|
|
final_status = self._progress['status']
|
|
self._stop_requested = False
|
|
if self._progress['end_time'] is None:
|
|
self._progress['end_time'] = time.time()
|
|
|
|
if final_status == 'completed':
|
|
logger.debug(
|
|
"Forced example images download completed: %s/%s models processed",
|
|
self._progress['completed'],
|
|
self._progress['total'],
|
|
)
|
|
elif final_status == 'stopped':
|
|
logger.debug(
|
|
"Forced example images download stopped: %s/%s models processed",
|
|
self._progress['completed'],
|
|
self._progress['total'],
|
|
)
|
|
|
|
# Send final progress via WebSocket
|
|
await self._broadcast_progress(status=final_status)
|
|
|
|
return {
|
|
'total': self._progress['total'],
|
|
'processed': self._progress['completed'],
|
|
'successful': success_count,
|
|
'errors': self._progress['errors']
|
|
}
|
|
|
|
except Exception as e:
|
|
error_msg = f"Error during forced example images download: {str(e)}"
|
|
logger.error(error_msg, exc_info=True)
|
|
self._progress['errors'].append(error_msg)
|
|
self._progress['last_error'] = error_msg
|
|
self._progress['status'] = 'error'
|
|
self._progress['end_time'] = time.time()
|
|
|
|
# Send error status via WebSocket
|
|
await self._broadcast_progress(status='error', extra={'error': error_msg})
|
|
|
|
raise
|
|
|
|
finally:
|
|
# No need to close any sessions since we use the global downloader
|
|
pass
|
|
|
|
async def _process_specific_model(
|
|
self,
|
|
scanner_type,
|
|
model,
|
|
scanner,
|
|
output_dir,
|
|
optimize,
|
|
downloader,
|
|
library_name,
|
|
):
|
|
"""Process a specific model for forced download, ignoring previous download status."""
|
|
|
|
# Check if download is paused
|
|
while self._progress['status'] == 'paused':
|
|
await asyncio.sleep(1)
|
|
|
|
# Check if download should continue
|
|
if self._progress['status'] not in {'running', 'stopping'}:
|
|
logger.info(f"Download stopped: {self._progress['status']}")
|
|
return False
|
|
|
|
model_hash = model.get('sha256', '').lower()
|
|
model_name = model.get('model_name', 'Unknown')
|
|
model_file_path = model.get('file_path', '')
|
|
model_file_name = model.get('file_name', '')
|
|
|
|
try:
|
|
# Update current model info
|
|
self._progress['current_model'] = f"{model_name} ({model_hash[:8]})"
|
|
await self._broadcast_progress(status='running')
|
|
|
|
model_dir = ExampleImagePathResolver.get_model_folder(model_hash, library_name)
|
|
if not model_dir:
|
|
logger.warning(
|
|
"Unable to resolve example images folder for model %s (%s)",
|
|
model_name,
|
|
model_hash,
|
|
)
|
|
return False
|
|
|
|
os.makedirs(model_dir, exist_ok=True)
|
|
|
|
# First check for local example images - local processing doesn't need delay
|
|
local_images_processed = await ExampleImagesProcessor.process_local_examples(
|
|
model_file_path, model_file_name, model_name, model_dir, optimize
|
|
)
|
|
|
|
# If we processed local images, update metadata
|
|
if local_images_processed:
|
|
await MetadataUpdater.update_metadata_from_local_examples(
|
|
model_hash, model, scanner_type, scanner, model_dir
|
|
)
|
|
self._progress['processed_models'].add(model_hash)
|
|
return False # Return False to indicate no remote download happened
|
|
|
|
full_model = await MetadataUpdater.get_updated_model(
|
|
model_hash, scanner
|
|
)
|
|
civitai_payload = (full_model or {}).get('civitai') if full_model else None
|
|
civitai_payload = civitai_payload or {}
|
|
|
|
# If no local images, try to download from remote
|
|
if civitai_payload.get('images'):
|
|
images = civitai_payload.get('images', [])
|
|
|
|
success, is_stale, failed_images = await ExampleImagesProcessor.download_model_images_with_tracking(
|
|
model_hash, model_name, images, model_dir, optimize, downloader
|
|
)
|
|
|
|
# If metadata is stale, try to refresh it
|
|
if is_stale and model_hash not in self._progress['refreshed_models']:
|
|
await MetadataUpdater.refresh_model_metadata(
|
|
model_hash, model_name, scanner_type, scanner, self._progress
|
|
)
|
|
|
|
# Get the updated model data
|
|
updated_model = await MetadataUpdater.get_updated_model(
|
|
model_hash, scanner
|
|
)
|
|
updated_civitai = (updated_model or {}).get('civitai') if updated_model else None
|
|
updated_civitai = updated_civitai or {}
|
|
|
|
if updated_civitai.get('images'):
|
|
# Retry download with updated metadata
|
|
updated_images = updated_civitai.get('images', [])
|
|
success, _, additional_failed_images = await ExampleImagesProcessor.download_model_images_with_tracking(
|
|
model_hash, model_name, updated_images, model_dir, optimize, downloader
|
|
)
|
|
|
|
# Combine failed images from both attempts
|
|
failed_images.extend(additional_failed_images)
|
|
|
|
self._progress['refreshed_models'].add(model_hash)
|
|
|
|
# For forced downloads, remove failed images from metadata
|
|
if failed_images:
|
|
# Create a copy of images excluding failed ones
|
|
await self._remove_failed_images_from_metadata(
|
|
model_hash, model_name, failed_images, scanner
|
|
)
|
|
|
|
# Mark as processed
|
|
if success or failed_images: # Mark as processed if we successfully downloaded some images or removed failed ones
|
|
self._progress['processed_models'].add(model_hash)
|
|
|
|
return True # Return True to indicate a remote download happened
|
|
else:
|
|
logger.debug(f"No civitai images available for model {model_name}")
|
|
|
|
|
|
return False
|
|
|
|
except Exception as e:
|
|
error_msg = f"Error processing model {model.get('model_name')}: {str(e)}"
|
|
logger.error(error_msg, exc_info=True)
|
|
self._progress['errors'].append(error_msg)
|
|
self._progress['last_error'] = error_msg
|
|
return False # Return False on exception
|
|
|
|
async def _remove_failed_images_from_metadata(self, model_hash, model_name, failed_images, scanner):
|
|
"""Remove failed images from model metadata"""
|
|
try:
|
|
# Get current model data
|
|
model_data = await MetadataUpdater.get_updated_model(model_hash, scanner)
|
|
if not model_data:
|
|
logger.warning(f"Could not find model data for {model_name} to remove failed images")
|
|
return
|
|
|
|
if not model_data.get('civitai', {}).get('images'):
|
|
logger.warning(f"No images in metadata for {model_name}")
|
|
return
|
|
|
|
# Get current images
|
|
current_images = model_data['civitai']['images']
|
|
|
|
# Filter out failed images
|
|
updated_images = [img for img in current_images if img.get('url') not in failed_images]
|
|
|
|
# If images were removed, update metadata
|
|
if len(updated_images) < len(current_images):
|
|
removed_count = len(current_images) - len(updated_images)
|
|
logger.info(f"Removing {removed_count} failed images from metadata for {model_name}")
|
|
|
|
# Update the images list
|
|
model_data['civitai']['images'] = updated_images
|
|
|
|
# Save metadata to file
|
|
file_path = model_data.get('file_path')
|
|
if file_path:
|
|
# Create a copy of model data without 'folder' field
|
|
model_copy = model_data.copy()
|
|
model_copy.pop('folder', None)
|
|
|
|
# Write metadata to file
|
|
await MetadataManager.save_metadata(file_path, model_copy)
|
|
logger.info(f"Saved updated metadata for {model_name} after removing failed images")
|
|
|
|
# Update the scanner cache
|
|
await scanner.update_single_model_cache(file_path, file_path, model_data)
|
|
|
|
except Exception as e:
|
|
logger.error(f"Error removing failed images from metadata for {model_name}: {e}", exc_info=True)
|
|
|
|
async def _broadcast_progress(
|
|
self,
|
|
*,
|
|
status: str | None = None,
|
|
extra: Dict[str, Any] | None = None,
|
|
) -> None:
|
|
payload = self._build_progress_payload(status=status, extra=extra)
|
|
try:
|
|
await self._ws_manager.broadcast(payload)
|
|
except Exception as exc: # pragma: no cover - defensive logging
|
|
logger.warning("Failed to broadcast example image progress: %s", exc)
|
|
|
|
def _build_progress_payload(
|
|
self,
|
|
*,
|
|
status: str | None = None,
|
|
extra: Dict[str, Any] | None = None,
|
|
) -> Dict[str, Any]:
|
|
payload: Dict[str, Any] = {
|
|
'type': 'example_images_progress',
|
|
'processed': self._progress['completed'],
|
|
'total': self._progress['total'],
|
|
'status': status or self._progress['status'],
|
|
'current_model': self._progress['current_model'],
|
|
}
|
|
|
|
if self._progress['errors']:
|
|
payload['errors'] = list(self._progress['errors'])
|
|
if self._progress['last_error']:
|
|
payload['last_error'] = self._progress['last_error']
|
|
|
|
if extra:
|
|
payload.update(extra)
|
|
|
|
return payload
|
|
|
|
|
|
_default_download_manager: DownloadManager | None = None
|
|
|
|
|
|
def get_default_download_manager(ws_manager) -> DownloadManager:
|
|
"""Return the singleton download manager used by default routes."""
|
|
|
|
global _default_download_manager
|
|
if (
|
|
_default_download_manager is None
|
|
or getattr(_default_download_manager, "_ws_manager", None) is not ws_manager
|
|
):
|
|
_default_download_manager = DownloadManager(ws_manager=ws_manager)
|
|
return _default_download_manager
|