Files
ComfyAssets-ComfyUI_PromptM…/prompt_manager_text.py
T

355 lines
14 KiB
Python

"""
PromptManagerText: A text-only version of PromptManager that outputs STRING
without CLIP encoding, while maintaining all database and search features.
"""
import hashlib
import datetime
import json
import webbrowser
import os
from typing import Optional, Dict, Any, Tuple, List
# Import logging system
try:
from .utils.logging_config import get_logger
except ImportError:
import sys
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
from utils.logging_config import get_logger
try:
from comfy.comfy_types import IO, ComfyNodeABC, InputTypeDict
except ImportError:
# Fallback for older ComfyUI versions
class ComfyNodeABC:
pass
class IO:
STRING = "STRING"
CLIP = "CLIP"
CONDITIONING = "CONDITIONING"
InputTypeDict = dict
try:
from .database.operations import PromptDatabase
from .utils.prompt_tracker import PromptTracker, PromptExecutionContext
from .utils.image_monitor import ImageMonitor
except ImportError:
# For direct imports when not in a package
import sys
import os
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
from database.operations import PromptDatabase
from utils.prompt_tracker import PromptTracker, PromptExecutionContext
from utils.image_monitor import ImageMonitor
class PromptManagerText(ComfyNodeABC):
"""
A ComfyUI custom node that provides all PromptManager features but outputs
only a STRING without CLIP encoding. Includes:
- Persistent storage of all prompts in SQLite database
- Search and retrieval capabilities
- Metadata management (categories, tags, ratings, notes)
- Duplicate detection via SHA256 hashing
- Text concatenation with prepend/append functionality
"""
def __init__(self):
self.logger = get_logger('prompt_manager_text.node')
self.logger.info("Initializing PromptManagerText node")
self.db = PromptDatabase()
self.prompt_tracker = PromptTracker(self.db)
self.image_monitor = ImageMonitor(self.db, self.prompt_tracker)
# Start image monitoring automatically
self._start_gallery_system()
self.logger.info("PromptManagerText node initialization completed")
@classmethod
def INPUT_TYPES(cls) -> InputTypeDict:
return {
"required": {
"text": (IO.STRING, {
"multiline": True,
"dynamicPrompts": True,
"tooltip": "The text prompt to be processed and saved to database."
})
},
"optional": {
"category": (IO.STRING, {
"default": "",
"tooltip": "Optional category for organizing prompts (e.g., 'landscapes', 'portraits')"
}),
"tags": (IO.STRING, {
"default": "",
"tooltip": "Comma-separated tags for the prompt (e.g., 'anime, detailed, sunset')"
}),
"search_text": (IO.STRING, {
"default": "",
"tooltip": "Search for past prompts containing this text"
}),
"prepend_text": (IO.STRING, {
"default": "",
"tooltip": "Text to prepend to the main prompt (connected STRING nodes will be added before the main text)"
}),
"append_text": (IO.STRING, {
"default": "",
"tooltip": "Text to append to the main prompt (connected STRING nodes will be added after the main text)"
})
}
}
RETURN_TYPES = (IO.STRING,)
OUTPUT_TOOLTIPS = (
"The final combined text string (with prepend/append applied) ready for use in other nodes.",
)
FUNCTION = "process_text"
CATEGORY = "PromptManager/Text"
DESCRIPTION = (
"Processes and manages text prompts with database storage and search capabilities. "
"Outputs a plain STRING that can be used with any node that accepts text input. "
"Includes all PromptManager features: categorization, tagging, search, and prepend/append functionality."
)
def process_text(
self,
text: str,
category: str = "",
tags: str = "",
search_text: str = "",
prepend_text: str = "",
append_text: str = ""
) -> Tuple[str]:
"""
Process the text prompt and save it to the database.
Args:
text: The text prompt to process
category: Optional category for organization
tags: Comma-separated tags
search_text: Text to search for in past prompts
prepend_text: Text to prepend to the main prompt
append_text: Text to append to the main prompt
Returns:
Tuple containing the final processed text string
"""
# Combine prepend, main text, and append text
final_text = ""
if prepend_text and prepend_text.strip():
final_text += prepend_text.strip() + " "
final_text += text
if append_text and append_text.strip():
final_text += " " + append_text.strip()
# For database storage, save the original main text with metadata about prepend/append
storage_text = text
# Search functionality is now handled by the JavaScript UI
# The search parameters are still available for backend processing if needed
# Save prompt to database and set execution context for gallery tracking
prompt_id = None
if storage_text and storage_text.strip():
self.logger.debug(f"Processing prompt text: {storage_text[:100]}...")
# Add prepend/append info to tags if they exist
extended_tags = self._parse_tags(tags) or []
if prepend_text and prepend_text.strip():
extended_tags.append(f"prepend:{prepend_text.strip()[:50]}")
if append_text and append_text.strip():
extended_tags.append(f"append:{append_text.strip()[:50]}")
try:
prompt_id = self._save_prompt_to_database(
text=storage_text.strip(), # Always strip whitespace
category=category.strip() if category else None,
tags=extended_tags if extended_tags else None
)
# Set current prompt for image tracking
if prompt_id:
execution_id = self.prompt_tracker.set_current_prompt(
prompt_text=final_text.strip(), # Use final combined text for tracking
additional_data={
'category': category.strip() if category else None,
'tags': extended_tags,
'prompt_id': prompt_id,
'prepend_text': prepend_text.strip() if prepend_text else None,
'append_text': append_text.strip() if append_text else None
}
)
self.logger.info(f"Set execution context: {execution_id} for prompt ID: {prompt_id}")
except Exception as e:
# Log error but don't fail the processing
self.logger.warning(f"Failed to save prompt to database: {e}")
self.logger.debug(f"Text processing completed: {final_text[:100]}...")
return (final_text,)
def _save_prompt_to_database(
self,
text: str,
category: Optional[str] = None,
tags: Optional[list] = None
) -> Optional[int]:
"""
Save the prompt to the SQLite database.
Args:
text: The prompt text
category: Optional category
tags: List of tags
Returns:
The prompt ID if saved successfully, None otherwise
"""
try:
# Generate hash for duplicate detection
prompt_hash = self._generate_hash(text)
self.logger.debug(f"Generated hash for prompt: {prompt_hash[:16]}...")
# Check if prompt already exists
existing = self.db.get_prompt_by_hash(prompt_hash)
if existing:
self.logger.info(f"Found existing prompt with ID {existing['id']}, updating metadata")
# Update metadata if this is a duplicate with new info
if any([category, tags]):
self.db.update_prompt_metadata(
prompt_id=existing['id'],
category=category,
tags=tags
)
self.logger.debug("Updated metadata for existing prompt")
return existing['id']
# Save new prompt
self.logger.debug(f"Saving new prompt with category: {category}, tags: {tags}")
prompt_id = self.db.save_prompt(
text=text,
category=category,
tags=tags,
prompt_hash=prompt_hash
)
if prompt_id:
self.logger.info(f"Successfully saved new prompt with ID: {prompt_id}")
else:
self.logger.warning("Failed to save prompt - no ID returned")
return prompt_id
except Exception as e:
self.logger.error(f"Error saving prompt to database: {e}")
return None
def _generate_hash(self, text: str) -> str:
"""Generate SHA256 hash for the prompt text."""
# Normalize text for consistent hashing (strip whitespace, normalize case)
normalized_text = text.strip().lower()
return hashlib.sha256(normalized_text.encode('utf-8')).hexdigest()
def _parse_tags(self, tags_string: str) -> Optional[list]:
"""Parse comma-separated tags string into a list."""
if not tags_string or not tags_string.strip():
return None
tags = [tag.strip() for tag in tags_string.split(',') if tag.strip()]
return tags if tags else None
def _search_prompts(self, search_text: str = "") -> List[Dict[str, Any]]:
"""Search for past prompts by text content."""
try:
if not search_text or not search_text.strip():
return []
results = self.db.search_prompts(
text=search_text.strip(),
category=None,
tags=None,
rating_min=None,
limit=50
)
return results
except Exception as e:
self.logger.error(f"Error searching prompts: {e}")
return []
def _open_web_interface(self):
"""Open the web interface in the default browser."""
try:
# Look for a web interface directory
current_dir = os.path.dirname(os.path.abspath(__file__))
web_dir = os.path.join(current_dir, "web_interface")
if os.path.exists(web_dir):
# If web interface exists, try to start it
index_path = os.path.join(web_dir, "index.html")
if os.path.exists(index_path):
webbrowser.open(f"file://{index_path}")
self.logger.info("Web interface opened in browser")
else:
self.logger.warning(f"Web interface directory found but no index.html. Please check {web_dir} for setup instructions")
else:
self.logger.info("Web interface not yet implemented. This feature will open a web-based prompt management interface when the web_interface directory is created.")
except Exception as e:
self.logger.error(f"Error opening web interface: {e}")
def search_prompts_api(self, search_text: str = "") -> List[Dict[str, Any]]:
"""API method for JavaScript UI to search prompts."""
return self._search_prompts(search_text=search_text)
def get_recent_prompts_api(self, limit: int = 20) -> List[Dict[str, Any]]:
"""API method for JavaScript UI to get recent prompts."""
try:
return self.db.get_recent_prompts(limit=limit)
except Exception as e:
self.logger.error(f"Error getting recent prompts: {e}")
return []
def _start_gallery_system(self):
"""Initialize and start the gallery monitoring system."""
try:
self.logger.info("Starting gallery system...")
# Start image monitoring
self.image_monitor.start_monitoring()
self.logger.info("Gallery system started successfully")
except Exception as e:
self.logger.error(f"Failed to start gallery system: {e}")
self.logger.warning("Gallery features will be disabled")
def get_gallery_status(self) -> Dict[str, Any]:
"""Get status of the gallery system."""
return {
'image_monitor': self.image_monitor.get_status(),
'prompt_tracker': self.prompt_tracker.get_status()
}
def cleanup_gallery_system(self):
"""Clean up gallery system resources."""
try:
if hasattr(self, 'image_monitor'):
self.image_monitor.stop_monitoring()
self.logger.info("Gallery system cleaned up")
except Exception as e:
self.logger.error(f"Error cleaning up gallery system: {e}")
def __del__(self):
"""Cleanup when object is destroyed."""
self.cleanup_gallery_system()
@classmethod
def IS_CHANGED(cls, **kwargs):
"""Always process to ensure database saving."""
return float("NaN") # Always execute