Vito Sansevero
144e6b1145
An LLM fed a PromptManagerPair's prepend_text while its text editor was empty. The node refused to save (an empty positive raised and logged a warning), and the image monitor then linked the image to a stale tracker entry or to the newest prompt in the database. - Nodes: an empty text editor saves and tracks nothing (prepend and append text are never the stored prompt), logs at info, and marks the node's run key empty so no earlier entry can be used for its images. - Tracker entries carry a run key: a digest of the prompt node and its whole upstream graph, the identity ComfyUI's cache uses. The monitor computes the same key from the image's embedded graph and uses a queued or snapshot entry only when the keys match (a snapshot also needs a known run with one entry, so a batch's last item is never applied to every image). - The recency fallback is gone; anything uncertain stays unlinked and is logged at info. - Recorded execution history attributes a file when exactly one run reported it, the file was written during that run, and the run's positive contexts name one stored prompt. The monitor and the output scan use it as their last certain source. - The scan and pair ingestion treat a resolved pair with an empty stored positive as unresolved instead of raising. - tools/review_image_links.py reviews selected links by these rules; dry run by default, --apply changes only named ids after a backup. Closes #342
265 lines
9.2 KiB
Python
265 lines
9.2 KiB
Python
"""
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PromptManagerText: A text-only version of PromptManager that outputs STRING
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without CLIP encoding, while maintaining all database and search features.
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"""
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import time
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from typing import Any, Dict, Optional, Tuple
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if __package__:
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from .utils.execution_context_capture import record_runtime_context
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else:
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from utils.execution_context_capture import record_runtime_context
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try:
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from comfy.comfy_types import IO, ComfyNodeABC, InputTypeDict
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except ImportError:
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# Fallback for older ComfyUI versions
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class ComfyNodeABC:
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pass
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class IO:
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STRING = "STRING"
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CLIP = "CLIP"
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CONDITIONING = "CONDITIONING"
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InputTypeDict = dict
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try:
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from .prompt_manager_base import PromptManagerBase
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except ImportError:
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import os
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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 prompt_manager_base import PromptManagerBase
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class PromptManagerText(PromptManagerBase, ComfyNodeABC):
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"""
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A ComfyUI custom node that provides all PromptManager features but outputs
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only a STRING without CLIP encoding. Includes:
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- Persistent storage of all prompts in SQLite database
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- Search and retrieval capabilities
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- Metadata management (categories, tags, ratings, notes)
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- Duplicate detection via SHA256 hashing
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- Text concatenation with prepend/append functionality
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"""
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def __init__(self):
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super().__init__(logger_name="prompt_manager_text.node")
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@classmethod
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def INPUT_TYPES(cls) -> InputTypeDict:
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return {
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"required": {
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"text": (
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IO.STRING,
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{
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"multiline": True,
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"dynamicPrompts": True,
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"tooltip": (
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"The text prompt to be processed and saved to database."
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),
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},
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)
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},
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"optional": {
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"category": (
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IO.STRING,
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{
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"default": "",
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"tooltip": (
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"Optional category for organizing prompts "
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"(e.g., 'landscapes', 'portraits')"
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),
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},
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),
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"tags": (
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IO.STRING,
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{
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"default": "",
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"tooltip": (
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"Comma-separated tags for the prompt "
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"(e.g., 'anime, detailed, sunset')"
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),
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},
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),
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"search_text": (
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IO.STRING,
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{
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"default": "",
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"tooltip": (
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"Search past prompts by text; add tag:name "
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'(or tag:"two words") to filter by tag'
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),
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},
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),
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"prepend_text": (
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IO.STRING,
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{
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"default": "",
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"tooltip": (
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"Text to prepend to the main prompt (connected STRING "
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"nodes will be added before the main text)"
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),
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},
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),
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"append_text": (
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IO.STRING,
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{
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"default": "",
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"tooltip": (
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"Text to append to the main prompt (connected STRING "
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"nodes will be added after the main text)"
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),
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},
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),
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},
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"hidden": {
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# The queued graph and this node's id: used to tell the positive
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# prompt of a run from negative-prompt PromptManager nodes
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"prompt": "PROMPT",
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"unique_id": "UNIQUE_ID",
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},
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}
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RETURN_TYPES = (IO.STRING,)
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OUTPUT_TOOLTIPS = (
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"The final combined text string (with prepend/append applied) ready for use "
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"in other nodes.",
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)
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FUNCTION = "process_text"
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OUTPUT_NODE = True
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CATEGORY = "🫶 ComfyAssets/🧠 Prompts"
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DESCRIPTION = (
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"Processes and manages text prompts with database storage and search "
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"capabilities. Outputs a plain STRING that can be used with any node that "
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"accepts text input. Includes all PromptManager features: categorization, "
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"tagging, search, and prepend/append functionality."
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)
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def process_text(
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self,
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text: str,
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category: str = "",
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tags: str = "",
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search_text: str = "",
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prepend_text: str = "",
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append_text: str = "",
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prompt: Optional[Dict[str, Any]] = None,
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unique_id: Optional[str] = None,
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) -> Tuple[str]:
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"""
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Process the text prompt and save it to the database.
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Args:
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text: The text prompt to process
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category: Optional category for organization
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tags: Comma-separated tags
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search_text: Text to search for in past prompts
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prepend_text: Text to prepend to the main prompt
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append_text: Text to append to the main prompt
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Returns:
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Tuple containing the final processed text string
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"""
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# Combine prepend, main text, and append text
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parts = []
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if prepend_text and prepend_text.strip():
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parts.append(prepend_text.strip())
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if text:
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parts.append(text)
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if append_text and append_text.strip():
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parts.append(append_text.strip())
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final_text = " ".join(parts)
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# Inject LoRA trigger words if integration is enabled
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final_text = self._inject_lora_trigger_words(final_text)
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# For database storage, save the original main text with metadata
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# about prepend/append
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storage_text = text
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# Save prompt to database and set execution context for gallery tracking
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prompt_id = None
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extended_tags = []
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if storage_text and storage_text.strip():
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self.logger.debug(f"Processing prompt text: {storage_text[:100]}...")
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# Add prepend/append info to tags if they exist
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extended_tags = self._parse_tags(tags) or []
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if prepend_text and prepend_text.strip():
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extended_tags.append(f"prepend:{prepend_text.strip()[:50]}")
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if append_text and append_text.strip():
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extended_tags.append(f"append:{append_text.strip()[:50]}")
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try:
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prompt_id = self._track_prompt_execution(
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text=storage_text.strip(),
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encoding_text=final_text.strip(),
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category=category.strip() if category else None,
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tags=extended_tags if extended_tags else None,
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additional_data={
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"category": category.strip() if category else None,
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"tags": extended_tags,
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"prepend_text": (
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prepend_text.strip() if prepend_text else None
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),
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"append_text": append_text.strip() if append_text else None,
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},
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prompt_graph=prompt,
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unique_id=unique_id,
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)
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self.logger.debug(f"Tracked prompt ID: {prompt_id}")
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except Exception as e:
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# Log error but don't fail the processing
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self.logger.warning(f"Failed to save prompt to database: {e}")
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else:
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self._skip_empty_prompt(prompt, unique_id)
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# Register with ComfyUI integration for standard metadata compatibility
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node_id = f"promptmanagertext_{int(time.time() * 1000)}"
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self.comfyui_integration.register_prompt(
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node_id,
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final_text.strip(),
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{
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"category": category.strip() if category else None,
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"tags": extended_tags,
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"prompt_id": prompt_id,
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"prepend_text": prepend_text.strip() if prepend_text else None,
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"append_text": append_text.strip() if append_text else None,
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},
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)
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self.logger.debug(f"Text processing completed: {final_text[:100]}...")
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result = (final_text,)
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record_runtime_context(
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type(self).__name__, text, prepend_text, append_text, final_text
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)
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return result
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@classmethod
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def IS_CHANGED(
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cls,
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text="",
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category="",
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tags="",
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search_text="",
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prepend_text="",
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append_text="",
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**kwargs,
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):
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"""
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ComfyUI method to determine if node needs re-execution.
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Returns a hash of input values that affect the text output or the
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saved prompt's metadata. This enables proper branch execution - only
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re-execute when inputs change.
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"""
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import hashlib
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combined = f"{text}|{prepend_text}|{append_text}|{category}|{tags}"
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return hashlib.sha256(combined.encode()).hexdigest()
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