The output scan and the live monitor now queue every file the ingestion resolver finds ambiguous for Needs review. The file is captured, its metadata is read again from the capture and resolved with the default profile, and only an ambiguous result is stored, bound to the capture's annotation byte record and fenced by its storage epoch. Evidence holds one hashed projection per selectable candidate; none, more than 16 or over 8 MiB is a limited item. Recording is idempotent per bytes and evidence and never touches a decision. Scan statuses, counters, outcome rows and legacy SSE events are unchanged; the job scope gains review_items/review_errors and the log a Needs review line. The monitor records after its fallback link, best effort.
218 lines
7.7 KiB
Python
218 lines
7.7 KiB
Python
"""
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ComfyUI_PromptManager: A comprehensive ComfyUI custom node that extends text encoding
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with persistent prompt storage, advanced search capabilities, and an automatic image
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gallery system.
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This module provides prompt node types:
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- PromptManager: CLIP encoding node that outputs CONDITIONING
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- PromptManagerFocused: Editor-first layout using the same encoding contract
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- PromptManagerSplit: Side-by-side editor and library using the same contract
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- PromptManagerText: Text-only node that outputs STRING with prepend/append
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functionality
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The nodes share the same database backend for persistent prompt storage and include
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an automatic image gallery system that monitors ComfyUI output directories and links
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generated images to their source prompts.
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Features:
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- SQLite-based persistent prompt storage with deduplication
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- Advanced search and categorization system
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- Real-time image gallery with metadata extraction
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- Web-based admin dashboard for prompt management
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- Comprehensive logging and diagnostics
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"""
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import re
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from pathlib import Path
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def get_version():
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"""Parse version from pyproject.toml"""
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try:
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pyproject_path = Path(__file__).parent / "pyproject.toml"
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if pyproject_path.exists():
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content = pyproject_path.read_text()
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match = re.search(r'version\s*=\s*["\']([^"\']+)["\']', content)
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if match:
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return match.group(1)
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except Exception:
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pass
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return "unknown"
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from .prompt_manager import ( # noqa: E402
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PromptManager,
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PromptManagerFocused,
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PromptManagerSplit,
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)
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from .prompt_manager_pair import PromptManagerPair # noqa: E402
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from .prompt_manager_text import PromptManagerText # noqa: E402
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from .prompt_search_list import PromptSearchList # noqa: E402
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NODE_CLASS_MAPPINGS = {
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"PromptManager": PromptManager,
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"PromptManagerFocused": PromptManagerFocused,
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"PromptManagerSplit": PromptManagerSplit,
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"PromptManagerPair": PromptManagerPair,
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"PromptManagerText": PromptManagerText,
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"PromptSearchList": PromptSearchList,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"PromptManager": "Prompt Manager (Classic)",
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"PromptManagerFocused": "Prompt Manager (Focused)",
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"PromptManagerSplit": "Prompt Manager (Split)",
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"PromptManagerPair": "Prompt Manager (+/-)",
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"PromptManagerText": "Prompt Manager Text",
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"PromptSearchList": "Prompt Search List",
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}
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# Canvas extension only. ComfyUI loads every .js under this directory into the
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# canvas page, so the admin/gallery bundles and vendored libraries under web/
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# are served by our own routes instead (see py/api).
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WEB_DIRECTORY = "web/comfy"
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# Add API routes (same pattern as ComfyUI_Assets)
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try:
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# Set extension URI
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import os
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from .py import config
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from .py.api import PromptManagerAPI
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extension_uri = os.path.dirname(__file__)
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config.extension_uri = extension_uri
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# Register API routes using the same pattern as ComfyUI_Assets
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routes = config.routes
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api = PromptManagerAPI()
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api.add_routes(routes)
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host_app = getattr(config.server_instance, "app", None)
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if host_app is not None and hasattr(host_app, "on_cleanup"):
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host_app.on_cleanup.append(api.cleanup_history_reads)
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host_app.on_cleanup.append(api.cleanup_annotation_captures)
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except Exception as e:
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# Log to internal logging system without console spam
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try:
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from .utils.logging_config import get_logger
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logger = get_logger("prompt_manager.init")
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logger.error(f"Failed to register API routes: {e}")
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except Exception:
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pass
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# Shared database, set up with the monitoring system below. Stays None when that
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# fails so the queue hook can report the database as unavailable instead of crashing.
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_global_db = None
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# Start image monitoring globally at module import time
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# This ensures images are linked regardless of which node is used in the workflow
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try:
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from .database.operations import PromptDatabase
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from .utils.image_monitor import get_image_monitor
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from .utils.prompt_tracker import get_prompt_tracker
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from .utils.logging_config import get_logger
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_init_logger = get_logger("prompt_manager.init")
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_init_logger.info("Starting global image monitoring system...")
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# Initialize database and get singleton instances
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_global_db = PromptDatabase()
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_global_prompt_tracker = get_prompt_tracker(_global_db)
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_global_image_monitor = get_image_monitor(_global_db, _global_prompt_tracker)
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# Ambiguous new outputs go to Needs review through the API's capture store
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# (the one the scan and the Tag dialog use). Recording stops before that
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# store is closed at shutdown.
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_review_api = globals().get("api")
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if _review_api is not None:
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_global_image_monitor.set_review_recorder(_review_api.record_review_file)
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_review_host = getattr(config.server_instance, "app", None)
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if _review_host is not None and hasattr(_review_host, "on_cleanup"):
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async def _stop_review_recording(app, monitor=_global_image_monitor):
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monitor.set_review_recorder(None)
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_review_host.on_cleanup.insert(0, _stop_review_recording)
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# Start monitoring
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_global_image_monitor.start_monitoring()
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_init_logger.info("Global image monitoring system started successfully")
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except Exception as e:
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try:
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from .utils.logging_config import get_logger
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_init_logger = get_logger("prompt_manager.init")
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_init_logger.error(f"Failed to start image monitoring: {e}")
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except Exception:
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print(f"[ComfyUI-PromptManager] Warning: Failed to start image monitoring: {e}")
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def _db_factory():
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"""The shared database for the queue hook; called lazily per request."""
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if _global_db is None:
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raise RuntimeError("PromptManager database unavailable")
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return _global_db
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# Count prompt runs when ComfyUI dequeues workflows (it skips unchanged nodes, so
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# node execution alone misses re-runs). Separate from monitoring so either can fail.
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try:
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from .py.config import server_instance
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from .utils.usage_tracking import register_queue_hook
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register_queue_hook(server_instance, _db_factory)
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except Exception as e:
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try:
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from .utils.logging_config import get_logger
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get_logger("prompt_manager.init").error(f"Failed to register usage hook: {e}")
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except Exception:
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import logging
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logging.getLogger("prompt_manager.init").error(
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f"Failed to register usage hook: {e}"
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)
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def _history_db_factory() -> "PromptDatabase":
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"""Initialize history on its worker even if monitoring initialization failed."""
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if _global_db is not None:
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return _global_db
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from .database.operations import PromptDatabase
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return PromptDatabase()
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_history_registration = None
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try:
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from .py.config import server_instance
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from .utils.execution_history import register_history_hook
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_history_registration = register_history_hook(server_instance, _history_db_factory)
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except Exception:
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try:
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from .utils.logging_config import get_logger
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get_logger("prompt_manager.init").error("Failed to register execution history")
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except Exception:
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import logging
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logging.getLogger("prompt_manager.init").error(
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"Failed to register execution history"
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)
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__all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS", "WEB_DIRECTORY"]
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# Print startup message with loaded tools
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print()
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print(f"\033[94m[ComfyUI-PromptManager] Version:\033[0m {get_version()}")
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for node_key, display_name in NODE_DISPLAY_NAME_MAPPINGS.items():
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# ASCII only: a Windows console using a legacy code page cannot print emoji,
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# and a UnicodeEncodeError here would abort loading the whole node.
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print(f" \033[94mLoaded:\033[0m {display_name}")
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print(f"\033[94mTotal: {len(NODE_CLASS_MAPPINGS)} tools loaded\033[0m")
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print()
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