Files
ComfyAssets-ComfyUI_PromptM…/__init__.py
T
Vito Sansevero 0e8108ae9b fix: link images and count runs by the positive prompt, not node execution
With a negative-prompt PromptManager node in the workflow, every executed
PromptManager node pushed onto the image-linking queue, so images could be
linked to the negative prompt or to a previous run. ComfyUI also skips
unchanged nodes, so re-runs of the same prompt were never counted.

- utils/prompt_graph.py finds the PromptManager nodes feeding a sampler's
  positive input (KSampler, CFG/Basic guiders, ControlNet and combine
  pass-throughs, PromptManagerText into encoders), falling back to all
  PromptManager nodes when none can be traced.
- Runs are counted by a ComfyUI on-prompt hook when a workflow is queued;
  prompts not yet saved are counted when the node first saves them.
- Nodes receive the queued graph (hidden PROMPT/UNIQUE_ID). Only the run's
  positive prompt becomes the current prompt; only batch items with linked
  text are pushed onto the FIFO queue.
- The image monitor links from the image's own metadata first, using the
  positive node, and falls back to the queue for batch items.

Refs #90
2026-10-07 12:35:08 -07:00

138 lines
4.6 KiB
Python

"""
ComfyUI_PromptManager: A comprehensive ComfyUI custom node that extends text encoding
with persistent prompt storage, advanced search capabilities, and an automatic image
gallery system.
This module provides two main node types:
- PromptManager: CLIP encoding node that outputs CONDITIONING
- PromptManagerText: Text-only node that outputs STRING with prepend/append functionality
Both nodes share the same database backend for persistent prompt storage and include
an automatic image gallery system that monitors ComfyUI output directories and links
generated images to their source prompts.
Features:
- SQLite-based persistent prompt storage with deduplication
- Advanced search and categorization system
- Real-time image gallery with metadata extraction
- Web-based admin dashboard for prompt management
- Comprehensive logging and diagnostics
"""
import re
from pathlib import Path
def get_version():
"""Parse version from pyproject.toml"""
try:
pyproject_path = Path(__file__).parent / "pyproject.toml"
if pyproject_path.exists():
content = pyproject_path.read_text()
match = re.search(r'version\s*=\s*["\']([^"\']+)["\']', content)
if match:
return match.group(1)
except Exception:
pass
return "unknown"
from .prompt_manager import PromptManager
from .prompt_manager_text import PromptManagerText
from .prompt_search_list import PromptSearchList
NODE_CLASS_MAPPINGS = {
"PromptManager": PromptManager,
"PromptManagerText": PromptManagerText,
"PromptSearchList": PromptSearchList,
}
NODE_DISPLAY_NAME_MAPPINGS = {
"PromptManager": "Prompt Manager",
"PromptManagerText": "Prompt Manager Text",
"PromptSearchList": "Prompt Search List",
}
# Define path to web directory for UI components
WEB_DIRECTORY = "web"
# Add API routes (same pattern as ComfyUI_Assets)
try:
# Set extension URI
import os
from .py import config
from .py.api import PromptManagerAPI
extension_uri = os.path.dirname(__file__)
config.extension_uri = extension_uri
# Register API routes using the same pattern as ComfyUI_Assets
routes = config.routes
api = PromptManagerAPI()
api.add_routes(routes)
except Exception as e:
# Log to internal logging system without console spam
try:
from .utils.logging_config import get_logger
logger = get_logger("prompt_manager.init")
logger.error(f"Failed to register API routes: {e}")
except Exception:
pass
# Start image monitoring globally at module import time
# This ensures images are linked regardless of which node is used in the workflow
try:
from .database.operations import PromptDatabase
from .utils.image_monitor import get_image_monitor
from .utils.prompt_tracker import get_prompt_tracker
from .utils.logging_config import get_logger
_init_logger = get_logger("prompt_manager.init")
_init_logger.info("Starting global image monitoring system...")
# Initialize database and get singleton instances
_global_db = PromptDatabase()
_global_prompt_tracker = get_prompt_tracker(_global_db)
_global_image_monitor = get_image_monitor(_global_db, _global_prompt_tracker)
# Start monitoring
_global_image_monitor.start_monitoring()
_init_logger.info("Global image monitoring system started successfully")
except Exception as e:
try:
from .utils.logging_config import get_logger
_init_logger = get_logger("prompt_manager.init")
_init_logger.error(f"Failed to start image monitoring: {e}")
except Exception:
print(f"[ComfyUI-PromptManager] Warning: Failed to start image monitoring: {e}")
# Count prompt runs when workflows are queued (ComfyUI skips unchanged nodes, so
# node execution alone misses re-runs). Separate from monitoring so either can fail.
try:
from .py.config import server_instance
from .utils.usage_tracking import register_queue_hook
register_queue_hook(server_instance, lambda: _global_db)
except Exception as e:
try:
from .utils.logging_config import get_logger
get_logger("prompt_manager.init").error(f"Failed to register usage hook: {e}")
except Exception:
print(f"[ComfyUI-PromptManager] Warning: Failed to register usage hook: {e}")
__all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS", "WEB_DIRECTORY"]
# Print startup message with loaded tools
print()
print(f"\033[94m[ComfyUI-PromptManager] Version:\033[0m {get_version()}")
for node_key, display_name in NODE_DISPLAY_NAME_MAPPINGS.items():
print(f"🫶 \033[94mLoaded:\033[0m {display_name}")
print(f"\033[94mTotal: {len(NODE_CLASS_MAPPINGS)} tools loaded\033[0m")
print()