Vito Sansevero
1d730d8e97
The output scan skipped every file the pair resolver called ambiguous or unresolved, so workflows where several samplers share one prompt (a base pass, an upscale pass and a detailer) never reached the Library from a scan. It now links the positive prompt the shared parser traces for those files, the prompt the inspector and the legacy pages show. Files the resolver decides are stored as before, and graphs without a recognized sampler keep the legacy extractor (#252). Read-only scans of a 38,602-file output folder into temporary databases: - links: 1,500 before, 7,954 after; none of the 1,500 dropped or changed; - of the added links that differ from the pre-redesign scan, 1,275 replace a number, a LoRA tag, a fragment or a truncated prompt that scan stored.
1617 lines
61 KiB
Python
1617 lines
61 KiB
Python
"""Admin and maintenance API routes for PromptManager."""
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import asyncio
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import contextlib
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from contextlib import closing
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import datetime
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import hashlib
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import json
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import os
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import sqlite3
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import tempfile
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import threading
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from pathlib import Path
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from aiohttp import web
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from .prompts import thumbnail_url_for
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from .scan_job import ScanJob
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try:
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from ...utils.parallel import map_parallel
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from ...utils.validators import validate_result_timeout, validate_worker_threads
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except ImportError:
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from utils.parallel import map_parallel
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from utils.validators import validate_result_timeout, validate_worker_threads
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try:
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from ...database.operations import PromptDatabase
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from ...database.pair_ingestion import ingest_resolved_pair
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from ...utils.generation_params import (
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PLACEHOLDERS,
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GenerationParamsError,
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extract_generation_params,
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parse_js_json,
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)
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from ...utils.prompt_pair_resolver import resolve_prompt_pair
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except ImportError:
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from database.operations import PromptDatabase
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from database.pair_ingestion import ingest_resolved_pair
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from utils.generation_params import (
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PLACEHOLDERS,
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GenerationParamsError,
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extract_generation_params,
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parse_js_json,
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)
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from utils.prompt_pair_resolver import resolve_prompt_pair
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try:
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from ...utils.hashing import generate_prompt_hash
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except ImportError:
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from utils.hashing import generate_prompt_hash
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IMAGE_EXTENSIONS = (".png", ".jpg", ".jpeg", ".gif", ".webp", ".bmp", ".tiff")
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VIDEO_EXTENSIONS = (".mp4", ".avi", ".mov", ".mkv", ".webm", ".m4v", ".wmv")
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SCAN_BATCH_SIZE = 50 # Files per executor call during the output scan
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MAX_SAFETY_BACKUPS = 10 # '<db>.backup_*' files kept next to the live database
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MAX_SCAN_FILES = 50_000 # Upper bound on media files one scan will look at
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SCAN_COUNT_KEYS = (
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"processed",
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"found",
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"added",
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"linked",
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"enriched",
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"unchanged",
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"ambiguous",
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"unresolved",
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"conflict",
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"failed",
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"pairs_added",
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"pair_links_added",
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)
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MAX_SCAN_DEPTH = 12 # Directory levels below an output root that are scanned
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# Files the duplicate cleaner may delete: everything the scan reports, plus
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# the common single-f TIFF spelling. Anything else inside the output
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# directory (databases, scripts, notes) is never a "duplicate image".
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DELETABLE_MEDIA_EXTENSIONS = frozenset(IMAGE_EXTENSIONS + VIDEO_EXTENSIONS + (".tif",))
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def _collect_media_files(output_dirs, extensions):
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"""Media files under ``output_dirs`` (blocking), bounded and symlink-free.
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Walks each root without following symlinks, skips ``thumbnails``
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directories and symlinked files, never descends more than MAX_SCAN_DEPTH
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levels and stops after MAX_SCAN_FILES files in total. Extensions match
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case-insensitively and each path is listed once.
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"""
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wanted = {ext.lower() for ext in extensions}
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found = []
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seen = set()
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for output_dir in output_dirs:
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root = os.path.abspath(str(output_dir))
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if not os.path.isdir(root):
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continue
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for current, dirnames, filenames in os.walk(root, followlinks=False):
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depth = 0 if current == root else len(Path(current).relative_to(root).parts)
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dirnames[:] = sorted(
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d
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for d in dirnames
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if d != "thumbnails"
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and depth < MAX_SCAN_DEPTH
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and not os.path.islink(os.path.join(current, d))
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)
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for name in sorted(filenames):
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if os.path.splitext(name)[1].lower() not in wanted:
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continue
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full = os.path.join(current, name)
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if os.path.islink(full) or not os.path.isfile(full):
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continue
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key = os.path.normcase(full)
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if key in seen:
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continue
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seen.add(key)
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found.append(Path(full))
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if len(found) >= MAX_SCAN_FILES:
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return found
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return found
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def _thumbnail_rel_path(rel_path, thumbnail_ext):
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"""Relative path of the thumbnail the gallery would generate for ``rel_path``."""
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return f"thumbnails/{rel_path.with_suffix('').as_posix()}_thumb{thumbnail_ext}"
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async def _read_json(request):
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"""Parse a JSON object body through the package's capped reader.
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Returns:
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(data, None) on success, or (None, response) carrying a 400/413 reply.
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"""
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from . import _read_json_body
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return await _read_json_body(request)
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def _sse(payload):
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"""Encode one server-sent event."""
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return f"data: {json.dumps(payload)}\n\n"
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def _inspect_restore_upload(path):
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"""Checks on a restore upload beyond PromptModel.verify_database_file.
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Opens the file read-only with ``PRAGMA trusted_schema=OFF`` (so nothing
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in the schema runs while it is inspected) and refuses databases that
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carry triggers or views: the prompts database never needs either, and a
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crafted upload could use them to run SQL against the live data later.
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Returns:
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None when acceptable, otherwise a human-readable reason (blocking).
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"""
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uri = Path(os.path.abspath(path)).as_uri() + "?mode=ro"
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try:
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conn = sqlite3.connect(uri, uri=True)
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except sqlite3.Error as e:
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return f"Invalid SQLite database: {e}"
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try:
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conn.execute("PRAGMA trusted_schema=OFF")
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rows = conn.execute(
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"SELECT type, name FROM sqlite_master "
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"WHERE type IN ('trigger', 'view') ORDER BY type, name"
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).fetchall()
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except sqlite3.Error as e:
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return f"Invalid SQLite database: {e}"
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finally:
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conn.close()
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if rows:
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listed = ", ".join(f"{kind} {name}" for kind, name in rows[:5])
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return (
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"Database contains triggers or views, which a prompts database "
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f"never has: {listed}"
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)
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return None
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def _prune_safety_backups(db_path, keep=None):
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"""Delete the oldest ``<db_path>.backup_*`` files beyond ``keep`` (blocking).
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Returns the paths removed. Errors deleting a file are ignored so a
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stubborn old backup never fails the restore that just succeeded.
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"""
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if keep is None:
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keep = MAX_SAFETY_BACKUPS
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db_path = os.path.abspath(db_path)
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directory = os.path.dirname(db_path)
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prefix = os.path.basename(db_path) + ".backup_"
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try:
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names = os.listdir(directory)
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except OSError:
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return []
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candidates = [
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os.path.join(directory, name)
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for name in names
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if name.startswith(prefix) and os.path.isfile(os.path.join(directory, name))
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]
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candidates.sort(key=lambda p: (os.path.getmtime(p), p))
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excess = candidates[: max(0, len(candidates) - keep)]
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removed = []
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for path in excess:
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try:
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os.remove(path)
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removed.append(path)
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except OSError:
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continue
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return removed
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def _public_helpers():
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"""The package's public-path helpers (imported lazily to avoid a cycle)."""
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from . import _public_error, _public_path
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return _public_path, _public_error
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def _diagnose_database(db_path):
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"""Row counts straight from the database file (small blocking query)."""
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_public_path, _public_error = _public_helpers()
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if not os.path.exists(db_path):
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return {
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"status": "error",
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"message": f"Database file not found: {os.path.basename(db_path)}",
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}
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try:
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with closing(sqlite3.connect(db_path)) as conn:
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prompt_count = conn.execute("SELECT COUNT(*) FROM prompts").fetchone()[0]
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has_images_table = (
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conn.execute(
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"SELECT name FROM sqlite_master "
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"WHERE type='table' AND name='generated_images'"
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).fetchone()
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is not None
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)
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image_count = 0
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if has_images_table:
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image_count = conn.execute(
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"SELECT COUNT(*) FROM generated_images"
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).fetchone()[0]
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return {
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"status": "ok",
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"prompt_count": prompt_count,
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"has_images_table": has_images_table,
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"image_count": image_count,
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}
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except Exception as e:
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return {"status": "error", "message": f"Database error: {_public_error(e)}"}
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def _diagnose_dependencies():
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"""Presence of the optional runtime dependencies."""
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dependencies = {"sqlite3": True}
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for name in ("watchdog", "PIL"):
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try:
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__import__(name)
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dependencies[name] = True
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except ImportError:
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dependencies[name] = False
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return {
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"status": "ok" if all(dependencies.values()) else "error",
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"dependencies": dependencies,
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}
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def _diagnose_output_dirs(configured_dirs):
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"""Configured gallery roots, ComfyUI's output dir, or relative fallbacks."""
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_public_path, _ = _public_helpers()
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candidates = list(configured_dirs)
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try:
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import folder_paths
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candidates.append(folder_paths.get_output_directory())
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except ImportError:
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pass
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output_dirs = []
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seen = set()
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def add(path):
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# One entry per directory: resolve links and fold case (Windows)
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real = os.path.realpath(path)
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key = os.path.normcase(real)
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if os.path.exists(real) and key not in seen:
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seen.add(key)
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output_dirs.append(real)
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for candidate in candidates:
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if candidate:
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add(candidate)
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if not output_dirs:
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for rel in ("output", "../output", "../../output"):
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add(rel)
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return {
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"status": "ok" if output_dirs else "warning",
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"output_dirs": [_public_path(d) for d in output_dirs],
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}
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def _diagnose_image_monitor():
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"""Status of the running image monitor, with public directory names."""
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_public_path, _public_error = _public_helpers()
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try:
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monitor = _current_image_monitor()
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if monitor is None:
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return {"status": "error", "message": "Image monitor not initialized"}
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status = dict(monitor.get_status())
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status["monitored_directories"] = [
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_public_path(d) for d in status.get("monitored_directories", [])
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]
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return {"status": "ok" if status.get("observer_alive") else "error", **status}
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except Exception as e:
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return {
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"status": "error",
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"message": f"Failed to get monitor status: {_public_error(e)}",
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}
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def _image_monitor_module():
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"""The utils.image_monitor module under either package identity."""
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try:
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from ...utils import image_monitor
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except ImportError:
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from utils import image_monitor
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return image_monitor
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|
|
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def _current_image_monitor():
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"""The running ImageMonitor singleton, or None when not started."""
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return getattr(_image_monitor_module(), "_monitor_instance", None)
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|
|
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class AdminRoutesMixin:
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"""Mixin providing admin, diagnostics, and maintenance API endpoints."""
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def _register_admin_routes(self, routes):
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@routes.get("/prompt_manager/scan_duplicates")
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async def scan_duplicates_route(request):
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return await self.scan_duplicates_endpoint(request)
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@routes.post("/prompt_manager/scan_duplicates/stream")
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async def scan_duplicates_stream_route(request):
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return await self.scan_duplicates_stream(request)
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@routes.get("/prompt_manager/scan_duplicates/status")
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async def scan_duplicates_status_route(request):
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return await self.scan_duplicates_status(request)
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@routes.post("/prompt_manager/delete_duplicate_images")
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async def delete_duplicate_images_route(request):
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return await self.delete_duplicate_images_endpoint(request)
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@routes.post("/prompt_manager/cleanup")
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async def cleanup_duplicates_route(request):
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return await self.cleanup_duplicates_endpoint(request)
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@routes.post("/prompt_manager/maintenance")
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async def maintenance_route(request):
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return await self.run_maintenance(request)
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@routes.get("/prompt_manager/stats")
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async def get_stats_route(request):
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return await self.get_statistics(request)
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@routes.get("/prompt_manager/settings")
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async def get_settings_route(request):
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return await self.get_settings(request)
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@routes.post("/prompt_manager/settings")
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async def save_settings_route(request):
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return await self.save_settings(request)
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@routes.get("/prompt_manager/backup")
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async def backup_database_route(request):
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return await self.backup_database(request)
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@routes.post("/prompt_manager/restore")
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async def restore_database_route(request):
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return await self.restore_database(request)
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@routes.get("/prompt_manager/diagnostics")
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async def run_diagnostics_route(request):
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return await self.run_diagnostics(request)
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@routes.post("/prompt_manager/diagnostics/test-link")
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async def test_image_link_route(request):
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return await self.test_image_link(request)
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@routes.post("/prompt_manager/scan")
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async def scan_images_route(request):
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return await self.scan_images(request)
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@routes.post("/prompt_manager/scan/cancel")
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async def cancel_scan_route(request):
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return await self.cancel_scan(request)
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@routes.get("/prompt_manager/scan/status")
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async def scan_status_route(request):
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return await self.scan_status(request)
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LONG_JOB_DUPLICATES = "duplicates"
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|
|
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async def scan_duplicates_endpoint(self, request):
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"""Scan for duplicate images without removing them (single flight)."""
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job = self._acquire_long_job(self.LONG_JOB_DUPLICATES)
|
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if job is None:
|
|
return self._long_job_busy_response("Duplicate scan")
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async with job:
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return await self._scan_duplicates(request)
|
|
|
|
async def _scan_duplicates(self, request):
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try:
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duplicates = await self.find_duplicate_images()
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|
return web.json_response(
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{
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"success": True,
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"duplicates": duplicates,
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"message": f"Found {len(duplicates)} groups of duplicate images",
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}
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)
|
|
|
|
except Exception as e:
|
|
self.logger.error(f"Scan duplicates error: {e}", exc_info=True)
|
|
return web.json_response(
|
|
{"success": False, "error": "Failed to scan duplicate images"},
|
|
status=500,
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|
)
|
|
|
|
async def scan_duplicates_stream(self, request):
|
|
"""Run the duplicate scan as a background job and stream its progress.
|
|
|
|
A request while a scan is running attaches to it. The job holds the
|
|
duplicates lock, so a delete is refused (409) until it finishes.
|
|
"""
|
|
job = self._duplicate_job
|
|
if job is None or job.finished:
|
|
guard = self._acquire_long_job(self.LONG_JOB_DUPLICATES)
|
|
if guard is None:
|
|
return self._long_job_busy_response("Duplicate scan or delete")
|
|
job = ScanJob()
|
|
self._duplicate_job = job
|
|
job.task = asyncio.ensure_future(self._run_duplicate_job(job, guard))
|
|
return await self._stream_scan_job(request, job)
|
|
|
|
async def scan_duplicates_status(self, request):
|
|
"""Whether a duplicate scan is running, and its latest event."""
|
|
job = self._duplicate_job
|
|
return web.json_response(
|
|
{
|
|
"success": True,
|
|
"running": bool(job and job.running),
|
|
"last_event": job.last_event if job else None,
|
|
}
|
|
)
|
|
|
|
async def _run_duplicate_job(self, job, guard):
|
|
loop = asyncio.get_running_loop()
|
|
counts = {"processed": 0}
|
|
|
|
def report(done, total):
|
|
# Called from worker threads; hand the event to the loop.
|
|
counts["processed"] = done
|
|
pct = int(done / total * 100) if total else 100
|
|
loop.call_soon_threadsafe(
|
|
job.publish,
|
|
{
|
|
"type": "progress",
|
|
"progress": pct,
|
|
"status": f"Hashing file {done}/{total}...",
|
|
"processed": done,
|
|
"found": 0,
|
|
},
|
|
)
|
|
|
|
try:
|
|
async with guard:
|
|
job.publish(
|
|
{
|
|
"type": "progress",
|
|
"progress": 0,
|
|
"status": "Collecting media files...",
|
|
"processed": 0,
|
|
"found": 0,
|
|
}
|
|
)
|
|
output_dir = await self._run_in_executor(self._find_comfyui_output_dir)
|
|
groups = await self._run_in_executor(
|
|
self._find_duplicate_images_sync, output_dir, report
|
|
)
|
|
job.publish(
|
|
{
|
|
"type": "complete",
|
|
"processed": counts["processed"],
|
|
"found": len(groups),
|
|
"duplicates": groups,
|
|
"message": f"Found {len(groups)} groups of duplicate images",
|
|
}
|
|
)
|
|
except Exception:
|
|
self.logger.exception("Duplicate scan error")
|
|
job.publish(
|
|
{
|
|
"type": "error",
|
|
"message": (
|
|
"An internal error occurred. Check server logs for details."
|
|
),
|
|
}
|
|
)
|
|
finally:
|
|
job.finish()
|
|
|
|
async def cleanup_duplicates_endpoint(self, request):
|
|
"""Cleanup duplicate prompts endpoint."""
|
|
try:
|
|
removed_count = await self._run_in_executor(self.db.cleanup_duplicates)
|
|
|
|
return web.json_response(
|
|
{
|
|
"success": True,
|
|
"message": "Cleanup completed",
|
|
"duplicates_removed": removed_count,
|
|
}
|
|
)
|
|
|
|
except Exception as e:
|
|
self.logger.error(f"Cleanup error: {e}", exc_info=True)
|
|
return web.json_response(
|
|
{"success": False, "error": "Failed to cleanup duplicates"},
|
|
status=500,
|
|
)
|
|
|
|
async def find_duplicate_images(self):
|
|
"""Find duplicate media in the output directory, off the event loop."""
|
|
output_dir = await self._run_in_executor(self._find_comfyui_output_dir)
|
|
return await self._run_in_executor(self._find_duplicate_images_sync, output_dir)
|
|
|
|
def _find_duplicate_images_sync(self, output_dir, progress=None):
|
|
"""Group media files under ``output_dir`` by content hash (blocking).
|
|
|
|
Files are hashed on ``PromptManagerConfig.WORKER_THREADS`` threads.
|
|
``progress(done, total)`` is called from those threads about every
|
|
percent and once at the end.
|
|
"""
|
|
from ..config import PromptManagerConfig
|
|
|
|
if not output_dir or not os.path.isdir(output_dir):
|
|
self.logger.warning("ComfyUI output directory not found")
|
|
return []
|
|
|
|
output_path = Path(output_dir)
|
|
extensions = IMAGE_EXTENSIONS + VIDEO_EXTENSIONS
|
|
media_files = _collect_media_files([output_path], extensions)
|
|
total = len(media_files)
|
|
self.logger.info(f"Found {total} media files to analyze")
|
|
step = max(1, total // 100)
|
|
counter = {"done": 0}
|
|
lock = threading.Lock()
|
|
|
|
def describe(media_path):
|
|
try:
|
|
info = self._describe_media_file(media_path, output_path)
|
|
except Exception as e:
|
|
self.logger.error(f"Error processing file {media_path.name}: {e}")
|
|
info = None
|
|
with lock:
|
|
counter["done"] += 1
|
|
done = counter["done"]
|
|
if done % 100 == 0:
|
|
self.logger.info(
|
|
f"Processed {done}/{total} files " "for duplicate detection"
|
|
)
|
|
if progress and (done % step == 0 or done == total):
|
|
progress(done, total)
|
|
return info
|
|
|
|
infos = map_parallel(describe, media_files, PromptManagerConfig.WORKER_THREADS)
|
|
|
|
file_hashes = {}
|
|
for info in infos:
|
|
if info is not None:
|
|
file_hashes.setdefault(info["hash"], []).append(info)
|
|
|
|
duplicates = []
|
|
for file_hash, images in file_hashes.items():
|
|
if len(images) > 1:
|
|
images.sort(key=lambda x: x["modified_time"])
|
|
duplicates.append(
|
|
{"hash": file_hash, "images": images, "count": len(images)}
|
|
)
|
|
|
|
self.logger.info(f"Found {len(duplicates)} groups of duplicate images")
|
|
return duplicates
|
|
|
|
def _describe_media_file(self, media_path, output_path):
|
|
"""Hash one media file and describe it for the duplicates response."""
|
|
stat = media_path.stat()
|
|
rel_path = media_path.relative_to(output_path)
|
|
extension = media_path.suffix.lower()
|
|
is_video = extension in VIDEO_EXTENSIONS
|
|
|
|
thumb_rel = _thumbnail_rel_path(rel_path, ".jpg" if is_video else extension)
|
|
thumbnail_url = thumbnail_url_for(thumb_rel, output_path / thumb_rel)
|
|
|
|
return {
|
|
"id": str(hash(str(media_path))),
|
|
"filename": media_path.name,
|
|
"path": str(rel_path),
|
|
"relative_path": str(rel_path),
|
|
"url": f"/prompt_manager/images/serve/{rel_path.as_posix()}",
|
|
"thumbnail_url": thumbnail_url,
|
|
"size": stat.st_size,
|
|
"modified_time": stat.st_mtime,
|
|
"extension": extension,
|
|
"media_type": "video" if is_video else "image",
|
|
"is_video": is_video,
|
|
"hash": self._calculate_file_hash(media_path),
|
|
}
|
|
|
|
def _calculate_file_hash(self, file_path):
|
|
"""Calculate SHA-256 hash of a file's content."""
|
|
hash_sha256 = hashlib.sha256()
|
|
with open(file_path, "rb") as f:
|
|
for chunk in iter(lambda: f.read(4096), b""):
|
|
hash_sha256.update(chunk)
|
|
return hash_sha256.hexdigest()
|
|
|
|
async def delete_duplicate_images_endpoint(self, request):
|
|
"""Delete duplicate image files from disk (single flight with the scan)."""
|
|
job = self._acquire_long_job(self.LONG_JOB_DUPLICATES)
|
|
if job is None:
|
|
return self._long_job_busy_response("Duplicate scan or delete")
|
|
async with job:
|
|
return await self._delete_duplicate_images(request)
|
|
|
|
async def _delete_duplicate_images(self, request):
|
|
try:
|
|
data, error_response = await _read_json(request)
|
|
if error_response is not None:
|
|
return error_response
|
|
image_paths = data.get("image_paths", [])
|
|
|
|
if not image_paths or not isinstance(image_paths, list):
|
|
return web.json_response(
|
|
{"success": False, "error": "No image paths provided"},
|
|
status=400,
|
|
)
|
|
|
|
output_dir = await self._run_in_executor(self._find_comfyui_output_dir)
|
|
result = await self._run_in_executor(
|
|
self._delete_duplicate_images_sync, image_paths, output_dir
|
|
)
|
|
|
|
response_data = {
|
|
"success": True,
|
|
"deleted_count": result["deleted_count"],
|
|
"failed_count": result["failed_count"],
|
|
"message": f"Deleted {result['deleted_count']} files successfully",
|
|
}
|
|
if result["failed_count"] > 0:
|
|
response_data["failed_files"] = result["failed_files"]
|
|
response_data["message"] += f", {result['failed_count']} failed"
|
|
|
|
return web.json_response(response_data)
|
|
|
|
except Exception as e:
|
|
self.logger.error(f"Delete duplicate images error: {e}", exc_info=True)
|
|
return web.json_response(
|
|
{"success": False, "error": "Failed to delete duplicate images"},
|
|
status=500,
|
|
)
|
|
|
|
def _delete_duplicate_images_sync(self, image_paths, output_dir):
|
|
"""Delete the given files (absolute or output-relative) within
|
|
``output_dir``."""
|
|
result = {"deleted_count": 0, "failed_count": 0, "failed_files": []}
|
|
output_path = Path(output_dir) if output_dir else None
|
|
|
|
for image_path in image_paths:
|
|
if output_path is None:
|
|
failure = "output directory not found"
|
|
else:
|
|
try:
|
|
failure = self._delete_one_duplicate(str(image_path), output_path)
|
|
except Exception as e:
|
|
self.logger.error(f"Error deleting file {image_path}: {e}")
|
|
failure = self._public_error(e)
|
|
|
|
if failure is None:
|
|
result["deleted_count"] += 1
|
|
else:
|
|
result["failed_count"] += 1
|
|
result["failed_files"].append(f"{image_path} ({failure})")
|
|
|
|
return result
|
|
|
|
def _delete_one_duplicate(self, image_path, output_path):
|
|
"""Delete one file and its thumbnail; return a failure reason or None."""
|
|
file_path = Path(image_path)
|
|
if not file_path.is_absolute():
|
|
file_path = output_path / file_path
|
|
|
|
try:
|
|
rel_path = file_path.resolve().relative_to(output_path.resolve())
|
|
except ValueError:
|
|
self.logger.warning(
|
|
f"Attempted to delete file outside output directory: {image_path}"
|
|
)
|
|
return "outside output directory"
|
|
|
|
if file_path.suffix.lower() not in DELETABLE_MEDIA_EXTENSIONS:
|
|
return "not a media file"
|
|
if "thumbnails" in rel_path.parts:
|
|
return "thumbnails are managed by the gallery"
|
|
|
|
if not file_path.is_file():
|
|
return "file not found"
|
|
|
|
os.remove(file_path)
|
|
self.logger.info(f"Deleted duplicate image: {image_path}")
|
|
|
|
thumbnail_path = output_path / _thumbnail_rel_path(rel_path, file_path.suffix)
|
|
try:
|
|
if thumbnail_path.exists():
|
|
os.remove(thumbnail_path)
|
|
self.logger.debug(f"Deleted associated thumbnail: {thumbnail_path}")
|
|
except OSError as e:
|
|
self.logger.warning(f"Could not delete thumbnail for {image_path}: {e}")
|
|
return None
|
|
|
|
async def get_statistics(self, request):
|
|
"""Get database statistics."""
|
|
try:
|
|
stats = await self._run_in_executor(self.db.get_statistics)
|
|
|
|
return web.json_response({"success": True, "stats": stats})
|
|
|
|
except Exception as e:
|
|
self.logger.error(f"Stats error: {e}", exc_info=True)
|
|
return web.json_response(
|
|
{"success": False, "error": "Failed to get statistics"},
|
|
status=500,
|
|
)
|
|
|
|
async def get_settings(self, request):
|
|
"""Get current settings."""
|
|
try:
|
|
from ..config import PromptManagerConfig, GalleryConfig
|
|
|
|
root_paths = [
|
|
self._public_path(d) for d in GalleryConfig.MONITORING_DIRECTORIES
|
|
]
|
|
return web.json_response(
|
|
{
|
|
"success": True,
|
|
"settings": {
|
|
"result_timeout": PromptManagerConfig.RESULT_TIMEOUT,
|
|
"webui_display_mode": PromptManagerConfig.WEBUI_DISPLAY_MODE,
|
|
"infinite_scroll": PromptManagerConfig.INFINITE_SCROLL,
|
|
"worker_threads": PromptManagerConfig.WORKER_THREADS,
|
|
"cpu_count": PromptManagerConfig.max_worker_threads(),
|
|
"gallery_root_paths": root_paths,
|
|
"gallery_root_path": root_paths[0] if root_paths else "",
|
|
"monitored_directories": [
|
|
self._public_path(d) for d in self._monitored_directories()
|
|
],
|
|
},
|
|
}
|
|
)
|
|
except Exception as e:
|
|
self.logger.error(f"Get settings error: {e}", exc_info=True)
|
|
return web.json_response(
|
|
{"success": False, "error": "Failed to get settings"},
|
|
status=500,
|
|
)
|
|
|
|
def _monitored_directories(self):
|
|
"""Directories the running image monitor watches, else the configured roots."""
|
|
from ..config import GalleryConfig
|
|
|
|
monitor = _current_image_monitor()
|
|
if monitor is not None:
|
|
return list(getattr(monitor, "monitored_directories", []))
|
|
return list(GalleryConfig.MONITORING_DIRECTORIES)
|
|
|
|
async def save_settings(self, request):
|
|
"""Save settings: the whole payload is validated before anything changes."""
|
|
try:
|
|
from ..config import PromptManagerConfig
|
|
|
|
data, error_response = await _read_json(request)
|
|
if error_response is not None:
|
|
return error_response
|
|
|
|
try:
|
|
updates = self._validate_settings(data)
|
|
except ValueError as ve:
|
|
return web.json_response(
|
|
{"success": False, "error": str(ve)}, status=400
|
|
)
|
|
|
|
new_roots, error = self._parse_gallery_roots(data)
|
|
if error:
|
|
return web.json_response({"success": False, "error": error}, status=400)
|
|
|
|
for name, value in updates.items():
|
|
setattr(PromptManagerConfig, name, value)
|
|
restart_required = False
|
|
if new_roots is not None:
|
|
restart_required = self._apply_gallery_roots(new_roots)
|
|
|
|
self._persist_settings()
|
|
|
|
return web.json_response(
|
|
{
|
|
"success": True,
|
|
"message": "Settings saved successfully",
|
|
"restart_required": restart_required,
|
|
}
|
|
)
|
|
except Exception as e:
|
|
self.logger.error(f"Save settings error: {e}", exc_info=True)
|
|
return web.json_response(
|
|
{"success": False, "error": "Failed to save settings"},
|
|
status=500,
|
|
)
|
|
|
|
@staticmethod
|
|
def _validate_settings(data):
|
|
"""Scalar settings of a payload as ``{CONFIG_ATTR: value}``.
|
|
|
|
Raises ValueError with a user-facing message on the first bad value;
|
|
nothing is applied until every value passed.
|
|
"""
|
|
from ..config import PromptManagerConfig
|
|
|
|
updates = {}
|
|
if "result_timeout" in data:
|
|
updates["RESULT_TIMEOUT"] = validate_result_timeout(data["result_timeout"])
|
|
if "webui_display_mode" in data:
|
|
mode = data["webui_display_mode"]
|
|
if mode not in ("popup", "newtab"):
|
|
raise ValueError("webui_display_mode must be 'popup' or 'newtab'")
|
|
updates["WEBUI_DISPLAY_MODE"] = mode
|
|
if "infinite_scroll" in data:
|
|
if not isinstance(data["infinite_scroll"], bool):
|
|
raise ValueError("infinite_scroll must be true or false")
|
|
updates["INFINITE_SCROLL"] = data["infinite_scroll"]
|
|
if "worker_threads" in data:
|
|
updates["WORKER_THREADS"] = validate_worker_threads(
|
|
data["worker_threads"], PromptManagerConfig.max_worker_threads()
|
|
)
|
|
return updates
|
|
|
|
def _parse_gallery_roots(self, data):
|
|
"""Extract and validate gallery roots from a settings payload.
|
|
|
|
Accepts ``gallery_root_paths`` (list, preferred) or the legacy single
|
|
``gallery_root_path`` string. Blank entries are dropped.
|
|
|
|
Returns:
|
|
(roots, error): ``roots`` is the validated list, or ``None`` when
|
|
the payload carries no gallery root key; ``error`` is a message
|
|
when validation failed (and ``roots`` is then ``None``).
|
|
"""
|
|
if "gallery_root_paths" in data:
|
|
raw = data["gallery_root_paths"]
|
|
if not isinstance(raw, list):
|
|
return None, "gallery_root_paths must be a list"
|
|
elif "gallery_root_path" in data:
|
|
raw = [data["gallery_root_path"]]
|
|
else:
|
|
return None, None
|
|
|
|
from ..config import GalleryConfig
|
|
|
|
roots = []
|
|
for entry in raw:
|
|
if not isinstance(entry, str):
|
|
return None, "Gallery root paths must be strings"
|
|
entry = entry.strip()
|
|
if not entry:
|
|
continue
|
|
ok, reason = GalleryConfig.validate_gallery_root(entry)
|
|
if not ok:
|
|
return (
|
|
None,
|
|
f"Invalid gallery root '{os.path.basename(entry)}': {reason}",
|
|
)
|
|
roots.append(GalleryConfig.resolve_gallery_root(entry))
|
|
return roots, None
|
|
|
|
def _apply_gallery_roots(self, roots):
|
|
"""Install validated gallery roots; returns True when they changed."""
|
|
from ..config import GalleryConfig
|
|
|
|
if roots == list(GalleryConfig.MONITORING_DIRECTORIES):
|
|
return False
|
|
GalleryConfig.MONITORING_DIRECTORIES = roots
|
|
self._cached_output_dir = None
|
|
self._gallery_cache = {}
|
|
return True
|
|
|
|
def _persist_settings(self):
|
|
"""Merge the user-editable settings into the configured config.json.
|
|
|
|
Only the keys this endpoint owns are rewritten; every other section
|
|
(integrations, database, performance, ...) and every other key in
|
|
``web_ui``/``gallery`` is kept as it was. A config file that cannot
|
|
be parsed is replaced.
|
|
"""
|
|
from ..config import GalleryConfig, PromptManagerConfig, write_private_json
|
|
|
|
config_file = PromptManagerConfig.get_config_path()
|
|
existing = self._read_config_file(config_file)
|
|
web_ui = dict(existing.get("web_ui") or {})
|
|
web_ui["result_timeout"] = PromptManagerConfig.RESULT_TIMEOUT
|
|
web_ui["webui_display_mode"] = PromptManagerConfig.WEBUI_DISPLAY_MODE
|
|
web_ui["infinite_scroll"] = PromptManagerConfig.INFINITE_SCROLL
|
|
gallery = dict(existing.get("gallery") or {})
|
|
monitoring = dict(gallery.get("monitoring") or {})
|
|
monitoring["directories"] = list(GalleryConfig.MONITORING_DIRECTORIES)
|
|
gallery["monitoring"] = monitoring
|
|
performance = dict(existing.get("performance") or {})
|
|
performance["worker_threads"] = PromptManagerConfig.WORKER_THREADS
|
|
config_data = {
|
|
**existing,
|
|
"web_ui": web_ui,
|
|
"gallery": gallery,
|
|
"performance": performance,
|
|
}
|
|
try:
|
|
write_private_json(config_file, config_data)
|
|
self.logger.info(f"Settings saved to {config_file}")
|
|
except OSError as save_err:
|
|
self.logger.warning(f"Could not save config file: {save_err}")
|
|
|
|
def _read_config_file(self, config_file):
|
|
"""Current contents of config.json as a dict, or {} when unusable."""
|
|
try:
|
|
with open(config_file, "r", encoding="utf-8") as f:
|
|
data = json.load(f)
|
|
except (OSError, ValueError):
|
|
return {}
|
|
return data if isinstance(data, dict) else {}
|
|
|
|
async def run_diagnostics(self, request):
|
|
"""Run comprehensive system diagnostics and health checks."""
|
|
try:
|
|
from ..config import GalleryConfig
|
|
|
|
results = {
|
|
"database": _diagnose_database(self.db.model.db_path),
|
|
"dependencies": _diagnose_dependencies(),
|
|
"comfyui_output": _diagnose_output_dirs(
|
|
GalleryConfig.MONITORING_DIRECTORIES
|
|
),
|
|
"image_monitor": _diagnose_image_monitor(),
|
|
}
|
|
return web.json_response({"success": True, "diagnostics": results})
|
|
|
|
except Exception as e:
|
|
self.logger.error(f"Diagnostics error: {e}", exc_info=True)
|
|
return web.json_response(
|
|
{"success": False, "error": "Diagnostics failed"}, status=500
|
|
)
|
|
|
|
async def test_image_link(self, request):
|
|
"""Test creating an image link."""
|
|
try:
|
|
data, error_response = await _read_json(request)
|
|
if error_response is not None:
|
|
return error_response
|
|
prompt_id = data.get("prompt_id")
|
|
if not prompt_id:
|
|
return web.json_response(
|
|
{"success": False, "error": "prompt_id is required"}, status=400
|
|
)
|
|
|
|
# The client never chooses the stored path: a synthetic marker
|
|
# under the output directory stands in for a generated image.
|
|
output_dir = await self._run_in_executor(self._find_comfyui_output_dir)
|
|
image_path = self._test_link_marker_path(output_dir)
|
|
payload = await self._link_test_image(str(prompt_id), image_path)
|
|
return web.json_response(payload)
|
|
|
|
except Exception as e:
|
|
self.logger.error(f"Test link error: {e}", exc_info=True)
|
|
return web.json_response(
|
|
{"success": False, "error": "Test link failed"}, status=500
|
|
)
|
|
|
|
TEST_LINK_MARKER = "prompt_manager_test_link.png"
|
|
|
|
@classmethod
|
|
def _test_link_marker_path(cls, output_dir):
|
|
"""Path recorded by the test-link diagnostic: a marker under ``output_dir``
|
|
(relative, when no output directory is known)."""
|
|
if output_dir:
|
|
return os.path.join(str(output_dir), cls.TEST_LINK_MARKER)
|
|
return cls.TEST_LINK_MARKER
|
|
|
|
async def _link_test_image(self, prompt_id, image_path):
|
|
"""Link a synthetic image record to ``prompt_id``; returns the envelope."""
|
|
test_metadata = {
|
|
"file_info": {"size": 1024000, "dimensions": [512, 512], "format": "PNG"},
|
|
"workflow": {"test": True},
|
|
"prompt": {"test_prompt": "This is a test image"},
|
|
}
|
|
try:
|
|
image_id = await self._run_in_executor(
|
|
self.db.link_image_to_prompt,
|
|
prompt_id=prompt_id,
|
|
image_path=image_path,
|
|
metadata=test_metadata,
|
|
)
|
|
except Exception as e:
|
|
return {
|
|
"success": False,
|
|
"result": {
|
|
"status": "error",
|
|
"message": f"Failed to create test link: {self._public_error(e)}",
|
|
},
|
|
}
|
|
return {
|
|
"success": True,
|
|
"result": {
|
|
"status": "ok",
|
|
"image_id": image_id,
|
|
"message": f"Test image linked successfully with ID {image_id}",
|
|
},
|
|
}
|
|
|
|
DEFAULT_MAINTENANCE_OPERATIONS = (
|
|
"cleanup_duplicates",
|
|
"vacuum",
|
|
"cleanup_orphaned_images",
|
|
)
|
|
|
|
async def run_maintenance(self, request):
|
|
"""Perform database maintenance operations and report each outcome."""
|
|
try:
|
|
data = {}
|
|
if request.content_type == "application/json":
|
|
data, error_response = await _read_json(request)
|
|
if error_response is not None:
|
|
return error_response
|
|
operations = data.get(
|
|
"operations", list(self.DEFAULT_MAINTENANCE_OPERATIONS)
|
|
)
|
|
|
|
results = await self._run_in_executor(
|
|
self._run_maintenance_operations, operations
|
|
)
|
|
all_successful = all(r.get("success", False) for r in results.values())
|
|
|
|
return web.json_response(
|
|
{
|
|
"success": True,
|
|
"operations_completed": len(results),
|
|
"all_successful": all_successful,
|
|
"results": results,
|
|
"message": (
|
|
f"Maintenance completed: {len(results)} operations processed"
|
|
),
|
|
}
|
|
)
|
|
|
|
except Exception as e:
|
|
self.logger.error(f"Maintenance error: {e}", exc_info=True)
|
|
return web.json_response(
|
|
{"success": False, "error": "Maintenance failed"}, status=500
|
|
)
|
|
|
|
def _run_maintenance_operations(self, operations):
|
|
"""Run each known operation in order; unknown names are ignored (blocking)."""
|
|
results = {}
|
|
for name in operations:
|
|
runner = self._maintenance_runners().get(name)
|
|
if runner is None:
|
|
continue
|
|
try:
|
|
results[name] = {"success": True, **runner()}
|
|
except Exception as e:
|
|
results[name] = {
|
|
"success": False,
|
|
"error": self._public_error(e),
|
|
"message": f"Failed to run {name.replace('_', ' ')}",
|
|
}
|
|
return results
|
|
|
|
def _maintenance_runners(self):
|
|
"""Map of operation name to a callable returning that operation's result."""
|
|
db = self.db
|
|
|
|
def count_result(count, noun):
|
|
return {"removed_count": count, "message": f"Removed {count} {noun}"}
|
|
|
|
def vacuum():
|
|
db.model.vacuum_database()
|
|
return {"message": "Database vacuum completed successfully"}
|
|
|
|
return {
|
|
"cleanup_duplicates": lambda: count_result(
|
|
db.cleanup_duplicates(), "duplicate prompts"
|
|
),
|
|
"vacuum": vacuum,
|
|
"cleanup_orphaned_images": lambda: count_result(
|
|
db.cleanup_missing_images(), "orphaned image records"
|
|
),
|
|
"check_hash_duplicates": lambda: self._hash_duplicates_result(
|
|
db.check_hash_duplicates()
|
|
),
|
|
"statistics": lambda: {
|
|
"info": self._public_database_info(db.model.get_database_info()),
|
|
"message": "Database statistics retrieved",
|
|
},
|
|
"prune_orphaned_prompts": lambda: count_result(
|
|
db.prune_orphaned_prompts(),
|
|
"orphaned prompts (prompts with no linked images, "
|
|
"excluding protected prompts)",
|
|
),
|
|
"check_consistency": lambda: self._consistency_result(
|
|
db.check_consistency()
|
|
),
|
|
}
|
|
|
|
def _public_database_info(self, info):
|
|
"""``get_database_info()`` with the absolute database_path made public."""
|
|
info = dict(info or {})
|
|
if info.get("database_path"):
|
|
info["database_path"] = self._public_path(info["database_path"])
|
|
return info
|
|
|
|
@staticmethod
|
|
def _hash_duplicates_result(groups):
|
|
return {
|
|
"duplicate_hashes": len(groups),
|
|
"message": f"Found {len(groups)} duplicate hash groups",
|
|
}
|
|
|
|
@staticmethod
|
|
def _consistency_result(issues):
|
|
return {
|
|
"issues_found": len(issues),
|
|
"issues": issues[:10],
|
|
"message": f"Found {len(issues)} consistency issues",
|
|
}
|
|
|
|
async def backup_database(self, request):
|
|
"""Download a consistent copy of the prompts database (WAL included)."""
|
|
try:
|
|
model = self.db.model
|
|
db_path = model.db_path
|
|
|
|
if not os.path.exists(db_path):
|
|
return web.json_response(
|
|
{"success": False, "error": "Database file not found"}, status=404
|
|
)
|
|
|
|
fd, temp_path = tempfile.mkstemp(suffix=".db")
|
|
os.close(fd)
|
|
try:
|
|
ok = await self._run_in_executor(model.backup_database, temp_path)
|
|
if not ok:
|
|
return web.json_response(
|
|
{"success": False, "error": "Failed to create database backup"},
|
|
status=500,
|
|
)
|
|
# Read once (the file is deleted right after) rather than
|
|
# streaming so the temp file never outlives the request.
|
|
with open(temp_path, "rb") as fh:
|
|
file_data = fh.read()
|
|
finally:
|
|
if os.path.exists(temp_path):
|
|
os.unlink(temp_path)
|
|
|
|
timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
|
|
filename = f"prompts_backup_{timestamp}.db"
|
|
|
|
return web.Response(
|
|
body=file_data,
|
|
content_type="application/octet-stream",
|
|
headers={
|
|
"Content-Disposition": f'attachment; filename="{filename}"',
|
|
"Content-Length": str(len(file_data)),
|
|
},
|
|
)
|
|
|
|
except Exception as e:
|
|
self.logger.error(f"Backup error: {e}", exc_info=True)
|
|
return web.json_response(
|
|
{
|
|
"success": False,
|
|
"error": f"Failed to backup database: {self._public_error(e)}",
|
|
},
|
|
status=500,
|
|
)
|
|
|
|
async def restore_database(self, request):
|
|
"""Restore the prompts database from an uploaded SQLite file.
|
|
|
|
The upload is streamed to a temp file (capped at restore_max_bytes),
|
|
verified with PromptModel.verify_database_file and only then copied
|
|
over the live database, which is backed up first.
|
|
"""
|
|
max_bytes = getattr(self, "restore_max_bytes", 100 * 1024 * 1024)
|
|
temp_path = None
|
|
try:
|
|
reader = await request.multipart()
|
|
field = await reader.next()
|
|
|
|
if not field or field.name != "database_file":
|
|
return web.json_response(
|
|
{
|
|
"success": False,
|
|
"error": (
|
|
"No database file uploaded. "
|
|
"Expected field name: database_file"
|
|
),
|
|
},
|
|
status=400,
|
|
)
|
|
|
|
fd, temp_path = tempfile.mkstemp(suffix=".db")
|
|
os.close(fd)
|
|
size = 0
|
|
with open(temp_path, "wb") as out:
|
|
while True:
|
|
chunk = await field.read_chunk()
|
|
if not chunk:
|
|
break
|
|
size += len(chunk)
|
|
if size > max_bytes:
|
|
return web.json_response(
|
|
{
|
|
"success": False,
|
|
"error": (
|
|
"File too large. Maximum size is "
|
|
f"{max_bytes // (1024 * 1024)}MB"
|
|
),
|
|
},
|
|
status=400,
|
|
)
|
|
out.write(chunk)
|
|
|
|
if size == 0:
|
|
return web.json_response(
|
|
{"success": False, "error": "Uploaded file is empty"}, status=400
|
|
)
|
|
|
|
model = self.db.model
|
|
ok, reason = await self._run_in_executor(
|
|
model.verify_database_file, temp_path
|
|
)
|
|
if ok:
|
|
reason = await self._run_in_executor(_inspect_restore_upload, temp_path)
|
|
ok = reason is None
|
|
if not ok:
|
|
return web.json_response(
|
|
{"success": False, "error": reason}, status=400
|
|
)
|
|
|
|
try:
|
|
backup_path = await self._run_in_executor(
|
|
model.restore_from_file, temp_path
|
|
)
|
|
except sqlite3.OperationalError as exc:
|
|
if (
|
|
getattr(exc, "_prompt_manager_restore_backup_created", False)
|
|
is True
|
|
):
|
|
try:
|
|
await self._run_in_executor(
|
|
_prune_safety_backups, model.db_path
|
|
)
|
|
except Exception:
|
|
self.logger.warning(
|
|
"Could not prune safety backups after failed restore"
|
|
)
|
|
raise
|
|
removed = await self._run_in_executor(_prune_safety_backups, model.db_path)
|
|
if removed:
|
|
self.logger.info(f"Removed {len(removed)} old safety backups")
|
|
previous = self.db
|
|
self.db = PromptDatabase(model.db_path)
|
|
# Its connections would otherwise linger (a file lock on Windows)
|
|
previous.close_all()
|
|
prompt_count = self.db.model.get_database_info().get("total_prompts", 0)
|
|
|
|
return web.json_response(
|
|
{
|
|
"success": True,
|
|
"message": (
|
|
"Database restored successfully. "
|
|
f"Found {prompt_count} prompts."
|
|
),
|
|
"prompt_count": prompt_count,
|
|
"backup_created": (
|
|
self._public_path(backup_path) if backup_path else None
|
|
),
|
|
}
|
|
)
|
|
|
|
except Exception as e:
|
|
self.logger.error(f"Restore error: {e}", exc_info=True)
|
|
return web.json_response(
|
|
{
|
|
"success": False,
|
|
"error": f"Failed to restore database: {self._public_error(e)}",
|
|
},
|
|
status=500,
|
|
)
|
|
finally:
|
|
if temp_path:
|
|
for suffix in ("", "-wal", "-shm", "-journal"):
|
|
if os.path.exists(temp_path + suffix):
|
|
os.unlink(temp_path + suffix)
|
|
|
|
async def scan_images(self, request):
|
|
"""Scan ComfyUI output images for prompt metadata and add them to the database.
|
|
|
|
The scan runs as a background task that outlives this request, so a
|
|
closed tab never leaves a half-finished scan. Progress streams as
|
|
server-sent events; while a scan is running, a new request attaches
|
|
to it instead of starting another one.
|
|
"""
|
|
job = self._scan_job
|
|
if job is None or job.finished:
|
|
job = self._start_scan_job()
|
|
return await self._stream_scan_job(request, job)
|
|
|
|
async def cancel_scan(self, request):
|
|
"""Stop between file transactions; an in-flight extraction can finish."""
|
|
job = self._scan_job
|
|
requested = bool(job and job.running)
|
|
if requested:
|
|
job.cancelled = True
|
|
return web.json_response({"success": True, "cancellation_requested": requested})
|
|
|
|
async def scan_status(self, request):
|
|
"""Whether an output scan is running, and its latest progress event."""
|
|
job = self._scan_job
|
|
return web.json_response(
|
|
{
|
|
"success": True,
|
|
"running": bool(job and job.running),
|
|
"last_event": job.last_event if job else None,
|
|
}
|
|
)
|
|
|
|
def _start_scan_job(self):
|
|
"""Create the job record synchronously, then run the scan as a task."""
|
|
job = ScanJob()
|
|
self._scan_job = job
|
|
job.task = asyncio.ensure_future(self._run_scan_job(job))
|
|
return job
|
|
|
|
async def _run_scan_job(self, job):
|
|
try:
|
|
async for payload in self._scan_images_events():
|
|
job.publish(payload)
|
|
finally:
|
|
job.finish()
|
|
|
|
async def _stream_scan_job(self, request, job):
|
|
"""Stream ``job`` as SSE; stop quietly if the client goes away."""
|
|
response = web.StreamResponse(
|
|
status=200,
|
|
reason="OK",
|
|
headers={
|
|
"Content-Type": "text/event-stream",
|
|
"Cache-Control": "no-cache",
|
|
"Connection": "keep-alive",
|
|
},
|
|
)
|
|
await response.prepare(request)
|
|
try:
|
|
async with contextlib.aclosing(job.events()) as events:
|
|
async for payload in events:
|
|
await response.write(_sse(payload).encode("utf-8"))
|
|
await response.write_eof()
|
|
except Exception as e: # the socket closed under us; the scan goes on
|
|
self.logger.info(
|
|
f"Scan progress client disconnected ({e}); "
|
|
"the scan continues in the background"
|
|
)
|
|
return response
|
|
|
|
async def _scan_images_events(self):
|
|
"""Yield progress payloads while scanning every configured output directory."""
|
|
try:
|
|
self.logger.info("Starting image scan operation")
|
|
output_dirs = self._get_all_output_dirs()
|
|
if not output_dirs:
|
|
self.logger.error("No output directories found")
|
|
yield {
|
|
"type": "error",
|
|
"message": "No output directories found. "
|
|
"Configure scan directories in Settings.",
|
|
}
|
|
return
|
|
|
|
dir_names = [self._public_path(d) for d in output_dirs]
|
|
yield self._scan_progress(
|
|
0, f"Scanning {len(output_dirs)} directory(ies) for media files..."
|
|
)
|
|
|
|
media_files = await self._run_in_executor(
|
|
self._collect_output_media_sync, output_dirs
|
|
)
|
|
counts = dict.fromkeys(SCAN_COUNT_KEYS, 0)
|
|
if media_files:
|
|
yield self._scan_progress(
|
|
5, f"Found {len(media_files)} media files to process...", counts
|
|
)
|
|
async for event in self._scan_batches(media_files, counts):
|
|
yield event
|
|
|
|
self.logger.info(
|
|
f"Scan completed: processed={counts['processed']}, "
|
|
f"found={counts['found']}, new_prompts_added={counts['added']}, "
|
|
f"images_linked_to_existing={counts['linked']}"
|
|
)
|
|
job = self._scan_job
|
|
final_type = "cancelled" if job and job.cancelled else "complete"
|
|
yield {"type": final_type, **counts, "directories": dir_names}
|
|
|
|
except Exception:
|
|
self.logger.exception("Scan error")
|
|
yield {
|
|
"type": "error",
|
|
"message": "An internal error occurred. Check server logs for details.",
|
|
}
|
|
|
|
async def _scan_batches(self, media_files, counts):
|
|
"""Process ``media_files`` in executor batches, updating ``counts`` in place.
|
|
|
|
Yields one progress event per batch.
|
|
"""
|
|
total = len(media_files)
|
|
for batch_start in range(0, total, SCAN_BATCH_SIZE):
|
|
if self._scan_job and self._scan_job.cancelled:
|
|
return
|
|
batch = media_files[batch_start : batch_start + SCAN_BATCH_SIZE]
|
|
batch_results = await self._run_in_executor(
|
|
self._extract_batch_metadata_sync, batch
|
|
)
|
|
batch_counts = await self._run_in_executor(
|
|
self._ingest_scan_batch_sync, batch_results
|
|
)
|
|
for key in counts:
|
|
counts[key] += batch_counts[key]
|
|
|
|
done = min(batch_start + len(batch), total)
|
|
yield self._scan_progress(
|
|
int(done / total * 100), f"Processing file {done}/{total}...", counts
|
|
)
|
|
await asyncio.sleep(0)
|
|
|
|
@staticmethod
|
|
def _scan_progress(progress, status, counts=None):
|
|
"""Progress event payload for the output scan."""
|
|
counts = counts or {}
|
|
return {
|
|
"type": "progress",
|
|
"progress": progress,
|
|
"status": status,
|
|
"processed": counts.get("processed", 0),
|
|
**{key: counts.get(key, 0) for key in SCAN_COUNT_KEYS},
|
|
}
|
|
|
|
def _collect_output_media_sync(self, output_dirs):
|
|
"""Collect all media files from the output directories (blocking I/O)."""
|
|
return _collect_media_files(output_dirs, IMAGE_EXTENSIONS + VIDEO_EXTENSIONS)
|
|
|
|
def _extract_batch_metadata_sync(self, file_batch):
|
|
"""Extract metadata from a batch of files in one executor call.
|
|
|
|
Files are read on ``PromptManagerConfig.WORKER_THREADS`` threads:
|
|
Pillow decodes the whole image to reach trailing text chunks and
|
|
releases the GIL while doing so.
|
|
"""
|
|
from ..config import PromptManagerConfig
|
|
|
|
def extract(media_file):
|
|
try:
|
|
return (media_file, self._extract_comfyui_metadata(str(media_file)))
|
|
except Exception:
|
|
return (media_file, {})
|
|
|
|
return map_parallel(extract, file_batch, PromptManagerConfig.WORKER_THREADS)
|
|
|
|
def _ingest_scan_batch_sync(self, batch_results):
|
|
"""Store the prompts found in a metadata batch (blocking DB work)."""
|
|
counts = dict.fromkeys(SCAN_COUNT_KEYS, 0)
|
|
for media_file, metadata in batch_results:
|
|
if self._scan_job and self._scan_job.cancelled:
|
|
break
|
|
counts["processed"] += 1
|
|
try:
|
|
outcome = self._ingest_scanned_file(media_file, metadata, detailed=True)
|
|
except Exception as e:
|
|
self.logger.error(f"Error processing {media_file.name}: {e}")
|
|
counts["failed"] += 1
|
|
continue
|
|
if outcome is None:
|
|
continue
|
|
counts["found"] += 1
|
|
status = outcome["status"] if isinstance(outcome, dict) else outcome
|
|
if status in (
|
|
"added",
|
|
"linked",
|
|
"enriched",
|
|
"unchanged",
|
|
"ambiguous",
|
|
"unresolved",
|
|
"conflict",
|
|
"failed",
|
|
):
|
|
counts[status] += 1
|
|
if isinstance(outcome, dict):
|
|
counts["pairs_added"] += outcome.get("pairs_added", 0)
|
|
counts["pair_links_added"] += outcome.get("links_added", 0)
|
|
return counts
|
|
|
|
@staticmethod
|
|
def _graph_prompt_text(metadata):
|
|
"""The positive prompt the browser parser traces from the graphs, or None."""
|
|
records = {}
|
|
for key in ("prompt", "workflow"):
|
|
value = metadata.get(key)
|
|
records[key] = parse_js_json(value) if isinstance(value, str) else value
|
|
try:
|
|
positive = extract_generation_params(records)["positivePrompt"]
|
|
except GenerationParamsError:
|
|
return None
|
|
if not isinstance(positive, str) or positive == PLACEHOLDERS["positivePrompt"]:
|
|
return None
|
|
return positive.strip() or None
|
|
|
|
def _ingest_scanned_file(self, media_file, metadata, detailed=False):
|
|
"""Enrich exact pairs; retain legacy positive-only import for absent pairs."""
|
|
if not metadata:
|
|
return None
|
|
canonical = dict(metadata)
|
|
for key in ("prompt", "workflow"):
|
|
if isinstance(canonical.get(key), str):
|
|
try:
|
|
canonical[key] = json.loads(canonical[key])
|
|
except (ValueError, TypeError):
|
|
# Preserve malformed metadata for conservative resolver rejection.
|
|
pass
|
|
if not canonical.get("prompt") and not canonical.get("parameters"):
|
|
return None
|
|
resolution = resolve_prompt_pair(canonical)
|
|
if resolution["state"] == "resolved":
|
|
result = ingest_resolved_pair(
|
|
self.db, str(media_file), canonical, resolution
|
|
)
|
|
return result if detailed else result["status"]
|
|
if canonical.get("prompt") and resolution["state"] in (
|
|
"ambiguous",
|
|
"unresolved",
|
|
):
|
|
# The resolver could not decide: link the prompt the inspector and the
|
|
# legacy pages show for this file (the browser parser, in Python).
|
|
# Graphs without a recognized sampler keep the legacy extractor below.
|
|
prompt_text = self._graph_prompt_text(metadata)
|
|
if not prompt_text:
|
|
return resolution["state"]
|
|
elif resolution["state"] == "ambiguous":
|
|
return "ambiguous"
|
|
elif resolution["state"] == "unresolved" and not isinstance(
|
|
canonical.get("parameters"), str
|
|
):
|
|
return resolution["state"]
|
|
else:
|
|
parsed = self._parse_comfyui_prompt(metadata)
|
|
if not (parsed.get("prompt") or parsed.get("parameters")):
|
|
return None
|
|
prompt_text = self._extract_readable_prompt(parsed)
|
|
if prompt_text is not None and not isinstance(prompt_text, str):
|
|
prompt_text = str(prompt_text)
|
|
if not (prompt_text and prompt_text.strip()):
|
|
return "found"
|
|
prompt_text = prompt_text.strip()
|
|
|
|
prompt_hash = generate_prompt_hash(prompt_text)
|
|
existing = self.db.get_prompt_by_hash(prompt_hash)
|
|
if existing:
|
|
try:
|
|
image_id = self.db.link_image_to_prompt(
|
|
existing["id"], str(media_file), metadata=canonical
|
|
)
|
|
except Exception as e:
|
|
self.logger.error(
|
|
f"Failed to link {media_file.name} to existing prompt: {e}"
|
|
)
|
|
return "found"
|
|
return "linked" if image_id else "unchanged"
|
|
|
|
prompt_id = self.db.save_prompt(
|
|
prompt_text,
|
|
"scanned",
|
|
["auto-scanned"],
|
|
None,
|
|
f"Auto-scanned from {media_file.name}",
|
|
prompt_hash,
|
|
)
|
|
if not prompt_id:
|
|
return "found"
|
|
try:
|
|
self.db.link_image_to_prompt(prompt_id, str(media_file), metadata=canonical)
|
|
except Exception as e:
|
|
self.logger.error(f"Failed to link {media_file.name} to new prompt: {e}")
|
|
return "added"
|