Add accumulator preview and batch save node

__init__.py

@@ -117,6 +117,15 @@ COMMON_INPUT_TOOLTIPS = {
     "image": "Image to store in the accumulator.",
     "entry_id": "Stable ID used for replace_by_entry_id or grouping variants.",
     "entry_tag": "Optional suffix added to entry_id.",
+    "preview_limit": "Maximum number of accumulator images to show in the preview panel.",
+    "delete_action": "Optional execution-time delete operation. JS buttons can delete interactively without setting this.",
+    "delete_entry_id": "Entry id to delete when delete_action is delete_entry_id.",
+    "delete_index": "1-based entry index to delete when delete_action is delete_index. 0 disables it.",
+    "save_batch": "When enabled, save all current accumulator images once finished is true.",
+    "finished": "Gate for saving. Outside a loop, leave true; inside a loop, wire a final-iteration signal.",
+    "save_path": "Folder to save the accumulator batch. Relative paths are inside ComfyUI output; absolute paths are used directly.",
+    "filename_prefix": "Filename prefix for saved accumulator images.",
+    "clear_after_save": "Clear the accumulator store after a successful batch save.",
     "clothing": "Built-in clothing density for legacy direct generation. Category/profile nodes can override this.",
     "poses": "Built-in pose pool for legacy direct generation.",
     "backside_bias": "Legacy bias toward rear/backside poses where that category supports it.",
@@ -317,7 +326,13 @@ def _install_input_tooltips(node_classes: dict[str, type]) -> None:
         node_class._sxcp_tooltips_installed = True
 
 try:
-    from .loop_nodes import ANY_TYPE, LOOP_NODE_CLASS_MAPPINGS, LOOP_NODE_DISPLAY_NAME_MAPPINGS
+    from .loop_nodes import (
+        ANY_TYPE,
+        LOOP_NODE_CLASS_MAPPINGS,
+        LOOP_NODE_DISPLAY_NAME_MAPPINGS,
+        accumulator_delete_entries,
+        accumulator_list_entries,
+    )
     from .prompt_builder import (
         build_camera_config_json,
         build_camera_orbit_config_json,
@@ -386,7 +401,13 @@ try:
     from .caption_naturalizer import naturalize_caption
     from .krea_formatter import format_krea2_prompt
 except ImportError:
-    from loop_nodes import ANY_TYPE, LOOP_NODE_CLASS_MAPPINGS, LOOP_NODE_DISPLAY_NAME_MAPPINGS
+    from loop_nodes import (
+        ANY_TYPE,
+        LOOP_NODE_CLASS_MAPPINGS,
+        LOOP_NODE_DISPLAY_NAME_MAPPINGS,
+        accumulator_delete_entries,
+        accumulator_list_entries,
+    )
     from prompt_builder import (
         build_camera_config_json,
         build_camera_orbit_config_json,
@@ -469,6 +490,29 @@ if PromptServer is not None and web is not None:
         except Exception as exc:
             return web.json_response({"error": str(exc)}, status=400)
 
+    @PromptServer.instance.routes.post("/sxcp/accumulator/list")
+    async def sxcp_accumulator_list(request):
+        try:
+            payload = await request.json()
+            result = accumulator_list_entries(str(payload.get("store_key") or ""))
+            return web.json_response(result)
+        except Exception as exc:
+            return web.json_response({"error": str(exc)}, status=400)
+
+    @PromptServer.instance.routes.post("/sxcp/accumulator/delete")
+    async def sxcp_accumulator_delete(request):
+        try:
+            payload = await request.json()
+            result = accumulator_delete_entries(
+                store_key=str(payload.get("store_key") or ""),
+                entry_id=str(payload.get("entry_id") or ""),
+                index=int(payload.get("index") or 0),
+                clear=bool(payload.get("clear")),
+            )
+            return web.json_response(result)
+        except Exception as exc:
+            return web.json_response({"error": str(exc)}, status=400)
+
 
 class SxCPPromptBuilder:
     @classmethod

loop_nodes.py

@@ -1,6 +1,9 @@
 from __future__ import annotations
 
+import json
+import os
 import random
+import re
 from typing import Any
 
 try:
@@ -18,6 +21,23 @@ try:
 except Exception:
     ALL_NODE_CLASS_MAPPINGS = {}
 
+try:
+    import folder_paths
+    import numpy as np
+    from PIL import Image
+    from PIL.PngImagePlugin import PngInfo
+    from comfy.cli_args import args
+except Exception:
+    folder_paths = None
+    np = None
+    Image = None
+    PngInfo = None
+
+    class _ArgsFallback:
+        disable_metadata = True
+
+    args = _ArgsFallback()
+
 
 MAX_LOOP_VALUES = 20
 MAX_CARRY_VALUES = MAX_LOOP_VALUES - 2
@@ -25,6 +45,7 @@ COLLECTION_MODES = ["auto_batch", "list", "image_batch", "latent_batch", "string
 ACCUMULATOR_ACTIONS = ["append_variant", "replace_by_entry_id", "append", "clear_then_append", "clear", "read"]
 ACCUMULATOR_IMAGE_BATCH_MODES = ["same_size_only", "resize_to_first"]
 ACCUMULATOR_IMAGE_GROUPS = 4
+ACCUMULATOR_PREVIEW_DELETE_ACTIONS = ["none", "delete_entry_id", "delete_index", "clear"]
 
 _ACCUMULATOR_STORES: dict[str, list[dict[str, Any]]] = {}
 
@@ -154,6 +175,197 @@ def _group_image_batches(images: list[Any]) -> list[Any]:
     return [batch for batch in batches if batch is not None]
 
 
+def _accumulator_store_key(store_key: str, unique_id: Any = None) -> str:
+    key = str(store_key or "").strip()
+    if key:
+        return key
+    return f"node:{unique_id}"
+
+
+def _entry_value_summary(value: Any) -> str:
+    if value is None:
+        return ""
+    text = str(value)
+    text = re.sub(r"\s+", " ", text).strip()
+    return text[:160]
+
+
+def _entry_infos(store: list[dict[str, Any]]) -> list[dict[str, Any]]:
+    entries = []
+    for index, entry in enumerate(store, start=1):
+        image = entry.get("image")
+        shape = _image_shape(image)
+        entries.append(
+            {
+                "index": index,
+                "id": str(entry.get("id") or ""),
+                "has_image": image is not None,
+                "shape": list(shape) if shape is not None else [],
+                "value": _entry_value_summary(entry.get("value")),
+            }
+        )
+    return entries
+
+
+def _accumulator_status(key: str, store: list[dict[str, Any]]) -> str:
+    images = [entry.get("image") for entry in store if entry.get("image") is not None]
+    shapes = []
+    for image in images:
+        shape = _image_shape(image)
+        if shape is not None and shape not in shapes:
+            shapes.append(shape)
+    shape_text = ", ".join(f"{shape[1]}x{shape[0]}" for shape in shapes) or "no images"
+    return f"key={key}; entries={len(store)}; image_entries={len(images)}; formats={shape_text}"
+
+
+def accumulator_list_entries(store_key: str) -> dict[str, Any]:
+    key = str(store_key or "").strip()
+    if not key:
+        raise ValueError("store_key is required for accumulator preview actions")
+    store = _ACCUMULATOR_STORES.setdefault(key, [])
+    return {
+        "store_key": key,
+        "entries": _entry_infos(store),
+        "count": len(store),
+        "status": _accumulator_status(key, store),
+    }
+
+
+def accumulator_delete_entries(
+    store_key: str,
+    entry_id: str = "",
+    index: int = 0,
+    clear: bool = False,
+) -> dict[str, Any]:
+    key = str(store_key or "").strip()
+    if not key:
+        raise ValueError("store_key is required for accumulator preview actions")
+    store = _ACCUMULATOR_STORES.setdefault(key, [])
+    removed = 0
+    if clear:
+        removed = len(store)
+        store.clear()
+    else:
+        entry_id = str(entry_id or "").strip()
+        if entry_id:
+            before = len(store)
+            store[:] = [entry for entry in store if str(entry.get("id") or "") != entry_id]
+            removed = before - len(store)
+        elif int(index) > 0:
+            zero_index = int(index) - 1
+            if zero_index < len(store):
+                del store[zero_index]
+                removed = 1
+        else:
+            raise ValueError("entry_id or 1-based index is required")
+    result = accumulator_list_entries(key)
+    result["removed"] = removed
+    return result
+
+
+def _require_image_saving() -> None:
+    if folder_paths is None or np is None or Image is None:
+        raise RuntimeError("Image preview/save helpers require ComfyUI image dependencies.")
+
+
+def _metadata(prompt: Any, extra_pnginfo: Any) -> Any:
+    if args.disable_metadata or PngInfo is None:
+        return None
+    metadata = PngInfo()
+    if prompt is not None:
+        metadata.add_text("prompt", json.dumps(prompt))
+    if extra_pnginfo is not None:
+        for key, value in extra_pnginfo.items():
+            metadata.add_text(key, json.dumps(value))
+    return metadata
+
+
+def _image_to_pil(image: Any) -> Any:
+    _require_image_saving()
+    tensor = image
+    try:
+        if len(tensor.shape) == 4:
+            tensor = tensor[0]
+    except Exception:
+        pass
+    image_data = 255.0 * tensor.cpu().numpy()
+    return Image.fromarray(np.clip(image_data, 0, 255).astype(np.uint8))
+
+
+def _safe_filename_prefix(prefix: str, default: str = "sxcp_accumulator") -> str:
+    text = str(prefix or "").strip() or default
+    text = os.path.basename(text)
+    text = re.sub(r"[^A-Za-z0-9._-]+", "_", text).strip("._")
+    return text or default
+
+
+def _next_save_counter(folder: str, prefix: str) -> int:
+    pattern = re.compile(rf"^{re.escape(prefix)}_(\d+)_\.png$")
+    counter = 1
+    try:
+        for filename in os.listdir(folder):
+            match = pattern.match(filename)
+            if match:
+                counter = max(counter, int(match.group(1)) + 1)
+    except FileNotFoundError:
+        pass
+    return counter
+
+
+def _preview_image_results(images: list[Any], preview_limit: int, prompt: Any, extra_pnginfo: Any) -> list[dict[str, str]]:
+    if not images:
+        return []
+    _require_image_saving()
+    output_dir = folder_paths.get_temp_directory()
+    preview_images = images[: max(1, int(preview_limit))]
+    first_shape = _image_shape(preview_images[0])
+    height, width = (first_shape[0], first_shape[1]) if first_shape else (512, 512)
+    prefix = "SxCPAccumulatorPreview_temp_" + "".join(random.choice("abcdefghijklmnopqrstupvxyz") for _ in range(5))
+    full_output_folder, filename, counter, subfolder, _filename_prefix = folder_paths.get_save_image_path(prefix, output_dir, width, height)
+    metadata = _metadata(prompt, extra_pnginfo)
+    results = []
+    for image in preview_images:
+        file = f"{filename}_{counter:05}_.png"
+        _image_to_pil(image).save(os.path.join(full_output_folder, file), pnginfo=metadata, compress_level=1)
+        results.append({"filename": file, "subfolder": subfolder, "type": "temp"})
+        counter += 1
+    return results
+
+
+def _resolve_save_folder(save_path: str) -> str:
+    _require_image_saving()
+    raw_path = os.path.expanduser(str(save_path or "").strip())
+    if not raw_path:
+        raw_path = "sxcp_accumulator"
+    if os.path.isabs(raw_path):
+        return raw_path
+    return os.path.join(folder_paths.get_output_directory(), raw_path)
+
+
+def _save_images_to_folder(
+    images: list[Any],
+    save_path: str,
+    filename_prefix: str,
+    prompt: Any,
+    extra_pnginfo: Any,
+) -> list[str]:
+    if not images:
+        return []
+    folder = _resolve_save_folder(save_path)
+    os.makedirs(folder, exist_ok=True)
+    prefix = _safe_filename_prefix(filename_prefix)
+    counter = _next_save_counter(folder, prefix)
+    metadata = _metadata(prompt, extra_pnginfo)
+    saved_paths = []
+    for image in images:
+        file = f"{prefix}_{counter:05}_.png"
+        path = os.path.join(folder, file)
+        _image_to_pil(image).save(path, pnginfo=metadata, compress_level=4)
+        saved_paths.append(path)
+        counter += 1
+    return saved_paths
+
+
 def _as_list(collection: Any) -> list[Any]:
     if collection is None:
         return []
@@ -449,8 +661,7 @@ class SxCPAccumulator:
         return random.random()
 
     def _store_key(self, store_key: str, unique_id: Any) -> str:
-        key = str(store_key or "").strip()
-        return key or f"node:{unique_id}"
+        return _accumulator_store_key(store_key, unique_id)
 
     def _entry_id(self, entry_id: Any, entry_tag: str, image_index: int, image_count: int) -> str:
         text = "" if entry_id is None else str(entry_id).strip()
@@ -523,18 +734,8 @@ class SxCPAccumulator:
         return collection
 
     def _status(self, key: str, store: list[dict[str, Any]], image_batch: Any, image_batches: list[Any]) -> str:
-        images = [entry.get("image") for entry in store if entry.get("image") is not None]
-        shapes = []
-        for image in images:
-            shape = _image_shape(image)
-            if shape is not None and shape not in shapes:
-                shapes.append(shape)
-        shape_text = ", ".join(f"{shape[1]}x{shape[0]}" for shape in shapes) or "no images"
         batch_state = "all images batched" if image_batch is not None else "mixed sizes or no image batch"
-        return (
-            f"key={key}; entries={len(store)}; image_entries={len(images)}; "
-            f"formats={shape_text}; grouped_batches={len(image_batches)}; {batch_state}"
-        )
+        return f"{_accumulator_status(key, store)}; grouped_batches={len(image_batches)}; {batch_state}"
 
     def accumulate(
         self,
@@ -573,6 +774,107 @@ class SxCPAccumulator:
         return tuple([self._collection(store), image_batch, images] + grouped_outputs + [len(store), status])
 
 
+class SxCPAccumulatorPreview:
+    OUTPUT_NODE = True
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "store_key": ("STRING", {"default": "", "multiline": False}),
+                "preview_limit": ("INT", {"default": 64, "min": 1, "max": 512, "step": 1}),
+                "delete_action": (ACCUMULATOR_PREVIEW_DELETE_ACTIONS, {"default": "none"}),
+                "delete_entry_id": ("STRING", {"default": "", "multiline": False}),
+                "delete_index": ("INT", {"default": 0, "min": 0, "max": 100000, "step": 1}),
+                "save_batch": ("BOOLEAN", {"default": False}),
+                "finished": ("BOOLEAN", {"default": True}),
+                "save_path": ("STRING", {"default": "sxcp_accumulator", "multiline": False}),
+                "filename_prefix": ("STRING", {"default": "sxcp_accum", "multiline": False}),
+                "clear_after_save": ("BOOLEAN", {"default": False}),
+            },
+            "hidden": {
+                "prompt": "PROMPT",
+                "extra_pnginfo": "EXTRA_PNGINFO",
+                "unique_id": "UNIQUE_ID",
+            },
+        }
+
+    RETURN_TYPES = ("INT", "STRING", "STRING")
+    RETURN_NAMES = ("count", "status", "saved_paths_json")
+    FUNCTION = "preview"
+    CATEGORY = "prompt_builder/loop"
+
+    @classmethod
+    def IS_CHANGED(cls, *args, **kwargs):
+        return random.random()
+
+    def _delete_from_inputs(self, key: str, delete_action: str, delete_entry_id: str, delete_index: int) -> int:
+        action = delete_action if delete_action in ACCUMULATOR_PREVIEW_DELETE_ACTIONS else "none"
+        if action == "none":
+            return 0
+        if action == "clear":
+            return int(accumulator_delete_entries(key, clear=True).get("removed", 0))
+        if action == "delete_entry_id":
+            entry_id = str(delete_entry_id or "").strip()
+            if not entry_id:
+                return 0
+            return int(accumulator_delete_entries(key, entry_id=entry_id).get("removed", 0))
+        if action == "delete_index":
+            index = int(delete_index)
+            if index <= 0:
+                return 0
+            return int(accumulator_delete_entries(key, index=index).get("removed", 0))
+        return 0
+
+    def preview(
+        self,
+        store_key,
+        preview_limit,
+        delete_action,
+        delete_entry_id,
+        delete_index,
+        save_batch,
+        finished,
+        save_path,
+        filename_prefix,
+        clear_after_save,
+        prompt=None,
+        extra_pnginfo=None,
+        unique_id=None,
+    ):
+        key = _accumulator_store_key(store_key, unique_id)
+        store = _ACCUMULATOR_STORES.setdefault(key, [])
+        removed = self._delete_from_inputs(key, delete_action, delete_entry_id, delete_index)
+        images = [entry["image"] for entry in store if entry.get("image") is not None]
+
+        saved_paths: list[str] = []
+        save_status = ""
+        if bool(save_batch) and bool(finished):
+            saved_paths = _save_images_to_folder(images, save_path, filename_prefix, prompt, extra_pnginfo)
+            save_status = f"; saved={len(saved_paths)}"
+            if saved_paths and bool(clear_after_save):
+                store.clear()
+                images = []
+                save_status += "; cleared_after_save"
+
+        preview_images = _preview_image_results(images, preview_limit, prompt, extra_pnginfo)
+        entries = _entry_infos(store)
+        status = _accumulator_status(key, store)
+        if removed:
+            status += f"; removed={removed}"
+        status += save_status
+        saved_json = json.dumps(saved_paths, ensure_ascii=True)
+        return {
+            "ui": {
+                "images": preview_images,
+                "entries": entries,
+                "status": [status],
+                "saved_paths": saved_paths,
+            },
+            "result": (len(store), status, saved_json),
+        }
+
+
 class SxCPForLoopEnd:
     @classmethod
     def INPUT_TYPES(cls):
@@ -697,6 +999,7 @@ LOOP_NODE_CLASS_MAPPINGS = {
     "SxCPForLoopEnd": SxCPForLoopEnd,
     "SxCPLoopAppend": SxCPLoopAppend,
     "SxCPAccumulator": SxCPAccumulator,
+    "SxCPAccumulatorPreview": SxCPAccumulatorPreview,
     "SxCPLoopIntAdd": SxCPLoopIntAdd,
     "SxCPLoopLessThan": SxCPLoopLessThan,
     "SxCPLoopLessThanOrEqual": SxCPLoopLessThanOrEqual,
@@ -709,6 +1012,7 @@ LOOP_NODE_DISPLAY_NAME_MAPPINGS = {
     "SxCPForLoopEnd": "SxCP For Loop End",
     "SxCPLoopAppend": "SxCP Loop Append",
     "SxCPAccumulator": "SxCP Accumulator",
+    "SxCPAccumulatorPreview": "SxCP Accumulator Preview",
     "SxCPLoopIntAdd": "SxCP Loop Int Add",
     "SxCPLoopLessThan": "SxCP Loop Less Than",
     "SxCPLoopLessThanOrEqual": "SxCP Loop Less Than Or Equal",

web/accumulator_preview.js

@@ -0,0 +1,220 @@
+import { app } from "../../scripts/app.js";
+import { api } from "../../scripts/api.js";
+
+const EXTENSION = "ethanfel.prompt_builder.accumulator_preview";
+const NODE_NAME = "SxCPAccumulatorPreview";
+const entryCache = new Map();
+
+function widget(node, name) {
+    return node.widgets?.find((w) => w.name === name);
+}
+
+function hideWidget(w) {
+    if (!w) return;
+    if (w.origType === undefined) w.origType = w.type;
+    w.type = "hidden";
+    w.hidden = true;
+    w.computeSize = () => [0, -4];
+}
+
+function resizeNode(node) {
+    const size = node.computeSize?.();
+    if (size) node.setSize?.(size);
+    app.graph?.setDirtyCanvas(true, true);
+}
+
+function nodeKey(nodeOrId) {
+    return String(typeof nodeOrId === "object" ? nodeOrId?.id : nodeOrId);
+}
+
+function isAccumulatorPreviewNode(node) {
+    return node?.comfyClass === NODE_NAME || node?.type === NODE_NAME;
+}
+
+function getNodeById(id) {
+    return app.graph?.getNodeById?.(Number(id)) || app.graph?._nodes_by_id?.[id] || app.graph?._nodes_by_id?.[Number(id)];
+}
+
+function asArray(value) {
+    if (!value) return [];
+    return Array.isArray(value) ? value : [value];
+}
+
+function outputStatus(output) {
+    const status = output?.status;
+    if (Array.isArray(status)) return status[0] || "";
+    return status || "";
+}
+
+function outputEntries(output) {
+    const entries = output?.entries;
+    if (!entries) return [];
+    if (Array.isArray(entries) && entries.length === 1 && Array.isArray(entries[0])) return entries[0];
+    return asArray(entries);
+}
+
+function entryLabel(entry) {
+    const index = entry?.index ?? "?";
+    const id = entry?.id ? ` ${entry.id}` : "";
+    const image = entry?.has_image ? " image" : " value";
+    const shape = Array.isArray(entry?.shape) && entry.shape.length >= 2 ? ` ${entry.shape[1]}x${entry.shape[0]}` : "";
+    return `#${index}${id}${image}${shape}`.trim();
+}
+
+function setStatus(node, status) {
+    if (!node._sxcpAccumulatorStatusWidget) return;
+    node._sxcpAccumulatorStatusWidget.value = status || "no accumulator data";
+    node.setDirtyCanvas?.(true, true);
+}
+
+function setEntries(node, entries, status = "") {
+    entries = asArray(entries);
+    entryCache.set(nodeKey(node), entries);
+    node._sxcpAccumulatorEntries = entries;
+    if (node._sxcpEntrySelectWidget) {
+        const labels = entries.map(entryLabel);
+        node._sxcpEntrySelectWidget.options.values = labels.length ? labels : ["no entries"];
+        if (!labels.includes(node._sxcpEntrySelectWidget.value)) {
+            node._sxcpEntrySelectWidget.value = labels[0] || "no entries";
+        }
+    }
+    setStatus(node, status || `${entries.length} entries`);
+    resizeNode(node);
+}
+
+function selectedEntry(node) {
+    const entries = entryCache.get(nodeKey(node)) || node._sxcpAccumulatorEntries || [];
+    const selected = widget(node, "selected_entry")?.value || node._sxcpEntrySelectWidget?.value || "";
+    const labels = entries.map(entryLabel);
+    const index = labels.indexOf(selected);
+    return index >= 0 ? entries[index] : entries[0];
+}
+
+function storeKey(node) {
+    return String(widget(node, "store_key")?.value || "").trim();
+}
+
+async function postJson(path, payload) {
+    const response = await api.fetchApi(path, {
+        method: "POST",
+        headers: {"Content-Type": "application/json"},
+        body: JSON.stringify(payload),
+    });
+    const data = await response.json();
+    if (!response.ok) throw new Error(data?.error || response.statusText);
+    return data;
+}
+
+async function refreshEntries(node) {
+    const key = storeKey(node);
+    if (!key) {
+        alert("Set the same explicit store_key on the Accumulator and Accumulator Preview first.");
+        return;
+    }
+    try {
+        const data = await postJson("/sxcp/accumulator/list", {store_key: key});
+        setEntries(node, data.entries || [], data.status || "");
+    } catch (err) {
+        console.error(`[${EXTENSION}] refresh failed`, err);
+        alert(`Refresh failed: ${err}`);
+    }
+}
+
+async function deleteSelected(node) {
+    const key = storeKey(node);
+    if (!key) {
+        alert("Set the same explicit store_key on the Accumulator and Accumulator Preview first.");
+        return;
+    }
+    const entry = selectedEntry(node);
+    if (!entry) {
+        alert("No accumulator entry selected.");
+        return;
+    }
+    const label = entryLabel(entry);
+    if (!confirm(`Delete accumulator entry ${label}?`)) return;
+    try {
+        const data = await postJson("/sxcp/accumulator/delete", {
+            store_key: key,
+            entry_id: entry.id || "",
+            index: entry.id ? 0 : entry.index,
+            clear: false,
+        });
+        setEntries(node, data.entries || [], `${data.status || ""}; deleted=${data.removed || 0}; rerun preview to refresh images`);
+    } catch (err) {
+        console.error(`[${EXTENSION}] delete failed`, err);
+        alert(`Delete failed: ${err}`);
+    }
+}
+
+async function clearStore(node) {
+    const key = storeKey(node);
+    if (!key) {
+        alert("Set the same explicit store_key on the Accumulator and Accumulator Preview first.");
+        return;
+    }
+    if (!confirm(`Clear all entries from accumulator "${key}"?`)) return;
+    try {
+        const data = await postJson("/sxcp/accumulator/delete", {store_key: key, clear: true});
+        setEntries(node, data.entries || [], `${data.status || ""}; cleared=${data.removed || 0}; rerun preview to refresh images`);
+    } catch (err) {
+        console.error(`[${EXTENSION}] clear failed`, err);
+        alert(`Clear failed: ${err}`);
+    }
+}
+
+function setupNode(node) {
+    hideWidget(widget(node, "delete_action"));
+    hideWidget(widget(node, "delete_entry_id"));
+    hideWidget(widget(node, "delete_index"));
+
+    if (!node._sxcpEntrySelectWidget) {
+        node._sxcpEntrySelectWidget = node.addWidget("combo", "selected_entry", "no entries", () => {}, {values: ["no entries"]});
+        node._sxcpEntrySelectWidget.serialize = false;
+    }
+    if (!node._sxcpAccumulatorStatusWidget) {
+        node._sxcpAccumulatorStatusWidget = node.addWidget("text", "accumulator_status", "no accumulator data", () => {});
+        node._sxcpAccumulatorStatusWidget.serialize = false;
+    }
+    if (!node._sxcpDeleteSelectedButton) {
+        node._sxcpDeleteSelectedButton = node.addWidget("button", "Delete Selected Entry", null, () => deleteSelected(node));
+    }
+    if (!node._sxcpClearButton) {
+        node._sxcpClearButton = node.addWidget("button", "Clear Accumulator", null, () => clearStore(node));
+    }
+    if (!node._sxcpRefreshButton) {
+        node._sxcpRefreshButton = node.addWidget("button", "Refresh Entry List", null, () => refreshEntries(node));
+    }
+    resizeNode(node);
+}
+
+app.registerExtension({
+    name: EXTENSION,
+
+    async setup() {
+        api.addEventListener("executed", ({detail}) => {
+            const node = getNodeById(detail?.node);
+            if (!isAccumulatorPreviewNode(node)) return;
+            const output = detail?.output || {};
+            setEntries(node, outputEntries(output), outputStatus(output));
+        });
+    },
+
+    async beforeRegisterNodeDef(nodeType, nodeData) {
+        if (nodeData.name !== NODE_NAME) return;
+
+        const onNodeCreated = nodeType.prototype.onNodeCreated;
+        nodeType.prototype.onNodeCreated = function () {
+            const result = onNodeCreated?.apply(this, arguments);
+            setupNode(this);
+            return result;
+        };
+
+        const onConfigure = nodeType.prototype.onConfigure;
+        nodeType.prototype.onConfigure = function () {
+            const result = onConfigure?.apply(this, arguments);
+            queueMicrotask(() => setupNode(this));
+            return result;
+        };
+    },
+});