Vito Sansevero
171a571a0d
When enabled, scans for <lora:NAME:WEIGHT> tags in prompt text and appends trigger words from LoraManager metadata. Behind config toggle.
268 lines
9.5 KiB
Python
268 lines
9.5 KiB
Python
"""
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PromptManagerBase: Shared logic for PromptManager node variants.
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Provides database initialization, prompt saving, hashing, tag parsing,
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search, gallery system management, and cleanup — extracted from the
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duplicate code in prompt_manager.py and prompt_manager_text.py.
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"""
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import hashlib
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import os
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import webbrowser
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from typing import Any, Dict, List, Optional
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try:
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from .utils.logging_config import get_logger
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except ImportError:
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import sys
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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from utils.logging_config import get_logger
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try:
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from .database.operations import PromptDatabase
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from .utils.comfyui_integration import get_comfyui_integration
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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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except ImportError:
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import sys
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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from database.operations import PromptDatabase
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from utils.comfyui_integration import get_comfyui_integration
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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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class PromptManagerBase:
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"""Mixin providing shared prompt management logic for ComfyUI nodes.
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Handles database connection, prompt saving with deduplication,
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tag parsing, search, gallery system lifecycle, and cleanup.
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Subclasses only need to define ComfyUI-specific class attributes
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(INPUT_TYPES, RETURN_TYPES, FUNCTION) and their execution method.
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"""
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def __init__(self, logger_name: str = "prompt_manager.node"):
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self.logger = get_logger(logger_name)
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self.logger.debug(f"Initializing {self.__class__.__name__} node")
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self.db = PromptDatabase()
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self.prompt_tracker = get_prompt_tracker(self.db)
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self.image_monitor = get_image_monitor(self.db, self.prompt_tracker)
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self.comfyui_integration = get_comfyui_integration()
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self._start_gallery_system()
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self.logger.debug(f"{self.__class__.__name__} node initialization completed")
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def _save_prompt_to_database(
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self, text: str, category: Optional[str] = None, tags: Optional[list] = None
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) -> Optional[int]:
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"""Save the prompt to the SQLite database.
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Args:
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text: The prompt text
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category: Optional category
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tags: List of tags
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Returns:
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The prompt ID if saved successfully, None otherwise
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"""
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try:
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prompt_hash = self._generate_hash(text)
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self.logger.debug(f"Generated hash for prompt: {prompt_hash[:16]}...")
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existing = self.db.get_prompt_by_hash(prompt_hash)
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if existing:
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self.logger.info(
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f"Found existing prompt with ID {existing['id']}, updating metadata"
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)
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if any([category, tags]):
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self.db.update_prompt_metadata(
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prompt_id=existing["id"], category=category, tags=tags
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)
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self.logger.debug("Updated metadata for existing prompt")
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return existing["id"]
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self.logger.debug(
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f"Saving new prompt with category: {category}, tags: {tags}"
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)
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prompt_id = self.db.save_prompt(
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text=text, category=category, tags=tags, prompt_hash=prompt_hash
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)
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if prompt_id:
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self.logger.debug(f"Successfully saved new prompt with ID: {prompt_id}")
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else:
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self.logger.warning("Failed to save prompt - no ID returned")
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return prompt_id
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except Exception as e:
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self.logger.error(f"Error saving prompt to database: {e}")
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return None
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def _inject_lora_trigger_words(self, text: str) -> str:
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"""Append LoRA trigger words if integration is enabled.
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Returns the text unchanged if the integration is disabled or
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LoraManager is not installed.
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"""
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try:
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from .py.config import IntegrationConfig
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except ImportError:
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try:
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from py.config import IntegrationConfig
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except ImportError:
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return text
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if (
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not IntegrationConfig.LORA_MANAGER_ENABLED
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or not IntegrationConfig.LORA_TRIGGER_WORDS_ENABLED
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):
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return text
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try:
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from .py.lora_utils import get_trigger_cache, inject_trigger_words
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except ImportError:
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try:
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from py.lora_utils import get_trigger_cache, inject_trigger_words
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except ImportError:
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return text
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cache = get_trigger_cache()
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# Lazy-load cache on first use
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if not cache.is_loaded and IntegrationConfig.LORA_MANAGER_PATH:
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cache.load(IntegrationConfig.LORA_MANAGER_PATH)
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modified, injected = inject_trigger_words(text, cache)
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if injected:
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self.logger.info(f"Injected trigger words: {', '.join(injected)}")
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return modified
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def _generate_hash(self, text: str) -> str:
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"""Generate SHA256 hash for the prompt text.
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Args:
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text: The prompt text to hash
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Returns:
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Hexadecimal string representation of the SHA256 hash
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"""
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normalized_text = text.strip().lower()
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return hashlib.sha256(normalized_text.encode("utf-8")).hexdigest()
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def _parse_tags(self, tags_string: str) -> Optional[list]:
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"""Parse comma-separated tags string into a list.
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Args:
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tags_string: Comma-separated string of tags
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Returns:
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List of parsed tags, or None if no valid tags found
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"""
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if not tags_string or not tags_string.strip():
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return None
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tags = [tag.strip() for tag in tags_string.split(",") if tag.strip()]
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return tags if tags else None
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def _search_prompts(self, search_text: str = "") -> List[Dict[str, Any]]:
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"""Search for past prompts by text content.
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Args:
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search_text: Text to search for in prompt database
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Returns:
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List of matching prompt dictionaries with metadata
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"""
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try:
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if not search_text or not search_text.strip():
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return []
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try:
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from .py.config import PromptManagerConfig
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max_results = PromptManagerConfig.MAX_SEARCH_RESULTS
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except Exception:
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max_results = 100
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results = self.db.search_prompts(
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text=search_text.strip(),
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category=None,
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tags=None,
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rating_min=None,
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limit=max_results,
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)
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return results
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except Exception as e:
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self.logger.error(f"Error searching prompts: {e}")
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return []
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def _open_web_interface(self):
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"""Open the web interface in the default browser."""
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try:
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current_dir = os.path.dirname(os.path.abspath(__file__))
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web_dir = os.path.join(current_dir, "web_interface")
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if os.path.exists(web_dir):
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index_path = os.path.join(web_dir, "index.html")
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if os.path.exists(index_path):
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webbrowser.open(f"file://{index_path}")
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self.logger.info("Web interface opened in browser")
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else:
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self.logger.warning(
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f"Web interface directory found but no index.html. "
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f"Please check {web_dir} for setup instructions"
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)
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else:
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self.logger.info(
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"Web interface not yet implemented. This feature will open a "
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"web-based prompt management interface when the web_interface "
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"directory is created."
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)
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except Exception as e:
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self.logger.error(f"Error opening web interface: {e}")
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def search_prompts_api(self, search_text: str = "") -> List[Dict[str, Any]]:
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"""API method for JavaScript UI to search prompts."""
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return self._search_prompts(search_text=search_text)
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def get_recent_prompts_api(self, limit: int = 20) -> List[Dict[str, Any]]:
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"""API method for JavaScript UI to get recent prompts."""
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try:
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return self.db.get_recent_prompts(limit=limit)
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except Exception as e:
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self.logger.error(f"Error getting recent prompts: {e}")
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return []
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def _start_gallery_system(self):
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"""Initialize and start the gallery monitoring system."""
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try:
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self.logger.debug("Starting gallery system...")
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self.image_monitor.start_monitoring()
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self.logger.debug("Gallery system started successfully")
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except Exception as e:
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self.logger.error(f"Failed to start gallery system: {e}")
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self.logger.warning("Gallery features will be disabled")
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def get_gallery_status(self) -> Dict[str, Any]:
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"""Get status of the gallery system."""
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return {
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"image_monitor": self.image_monitor.get_status(),
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"prompt_tracker": self.prompt_tracker.get_status(),
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}
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def cleanup_gallery_system(self):
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"""Clean up gallery system resources.
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Note: The image monitor is a singleton shared across all node instances,
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so we intentionally do NOT stop it here. It should run for the entire
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ComfyUI session. Stopping it would kill monitoring for all nodes.
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"""
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self.logger.debug("Gallery system cleaned up (monitor continues running)")
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