210 lines
9.1 KiB
Python
210 lines
9.1 KiB
Python
import folder_paths
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import os
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import torch
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import numpy as np
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from PIL import Image, ImageDraw, ImageFont
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import server # Required for preview generation
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import threading
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import shutil # For potential file operations
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from datetime import datetime # For timestamps
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# --- Constants ---
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# Determine the base path of the custom node
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EXTENSION_PATH = os.path.normpath(os.path.dirname(__file__))
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DEFAULT_HISTORY_FOLDER = os.path.join(EXTENSION_PATH, "history_folder")
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# Tensor to PIL
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def tensor2pil(image):
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if image.dim() > 3:
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image = image[0]
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return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8))
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# Placeholder generation function (creates a base image, will be resized later if needed by UI)
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def create_placeholder(size=(128, 128), text="?"):
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"""Creates a simple placeholder PIL image."""
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img = Image.new('RGB', size, color = (40, 40, 40))
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d = ImageDraw.Draw(img)
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font = ImageFont.load_default() # Keep it simple for placeholders
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try:
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# Basic centering for default font
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tw, th = d.textsize(text, font=font) if hasattr(d, 'textsize') else (10, 10)
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d.text(((size[0]-tw)/2, (size[1]-th)/2), text, font=font, fill=(180, 180, 180))
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except Exception as e:
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print(f"[PreviewHistory] Error drawing placeholder text: {e}")
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d.text((10, 10), text, fill=(180, 180, 180)) # Fallback position
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return img
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class PreviewHistory:
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# Lock for file system operations in the target directory
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_dir_lock = threading.Lock()
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def __init__(self):
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self.output_dir = folder_paths.get_temp_directory() # For UI previews
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self.type = "temp"
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"image": ("IMAGE",),
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"history_size": ("INT", {
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"default": 9,
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"min": 1,
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"max": 1000000,
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"step": 1,
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"tooltip": "How many images to keep in the history folder."
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}),
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},
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}
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RETURN_TYPES = ()
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FUNCTION = "execute"
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OUTPUT_NODE = True
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CATEGORY = "Raffle/Previews"
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# --- Main Execution ---
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def execute(self, image, history_size):
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# Use the default history folder path directly
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history_folder = DEFAULT_HISTORY_FOLDER
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# Ensure target directory exists
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if not os.path.exists(history_folder):
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try:
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os.makedirs(history_folder, exist_ok=True)
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print(f"[PreviewHistory] Created history directory: {history_folder}")
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except OSError as e:
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print(f"[PreviewHistory] Error creating directory {history_folder}: {e}. Cannot proceed.")
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return {"ui": {"images": []}}
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# --- Save New Image (if provided) ---
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if image is not None and image.nelement() > 0:
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new_pil_image = tensor2pil(image)
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with PreviewHistory._dir_lock: # Lock specifically for saving
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try:
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now = datetime.now()
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timestamp_final = now.strftime("%d-%m-%Y_%H-%M-%S")
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new_filename = f"history_{timestamp_final}.png"
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new_path = os.path.join(history_folder, new_filename)
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new_pil_image.save(new_path, "PNG", compress_level=1)
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# print(f"[PreviewHistory] Saved new file: {new_path}") # Debug
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except Exception as e:
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print(f"[PreviewHistory] Error saving new image to '{history_folder}': {e}")
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# Continue even if saving fails, try to show existing history
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# --- Cleanup Old Files & Load Images for Preview ---
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preview_images_pil = []
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sorted_history_files = []
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with PreviewHistory._dir_lock: # Lock for listing, cleanup, and getting paths
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try:
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# Get all .png files with modification times for cleanup and loading
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all_files = []
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for filename in os.listdir(history_folder):
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if filename.lower().endswith(".png"):
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full_path = os.path.join(history_folder, filename)
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try:
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if os.path.isfile(full_path):
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mod_time = os.path.getmtime(full_path)
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all_files.append((mod_time, full_path))
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except OSError:
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print(f"[PreviewHistory] Warning: Could not access file {full_path} during scan.")
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continue # Skip file if cannot get mod_time
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# Sort by modification time, newest first
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all_files.sort(key=lambda x: x[0], reverse=True)
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# Cleanup: Remove files exceeding the current history_size
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if len(all_files) > history_size:
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files_to_remove = all_files[history_size:] # Get the oldest ones
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# print(f"[PreviewHistory] Found {len(all_files)} files, keeping {history_size}, removing {len(files_to_remove)}.") # Debug
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for mod_time, path_to_remove in files_to_remove:
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try:
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# print(f"[PreviewHistory] Removing old file: {path_to_remove}") # Debug
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os.remove(path_to_remove)
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except OSError as e:
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print(f"[PreviewHistory] Error removing old file {path_to_remove}: {e}")
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# Keep only the files that were not removed
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files_to_keep = all_files[:history_size]
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else:
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files_to_keep = all_files # Keep all if within limit
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# Get the paths for the files we are keeping for the preview
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sorted_history_files = [f[1] for f in files_to_keep]
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except Exception as e:
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print(f"[PreviewHistory] Error listing/cleaning files in {history_folder} for preview: {e}")
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# Fall through with empty list if error during file operations
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# Determine a consistent size for placeholders if needed
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placeholder_size = (128, 128) # Default
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if sorted_history_files: # Check if we have any files paths left after potential cleanup
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try:
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# Try loading the first actual image (newest one)
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first_image_path = sorted_history_files[0]
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temp_img = Image.open(first_image_path)
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placeholder_size = temp_img.size
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temp_img.close()
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except Exception:
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pass # Ignore if it fails, keep default size
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# Load images from the potentially cleaned-up list
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for i, fp in enumerate(sorted_history_files): # Iterate through the paths we collected
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try:
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img = Image.open(fp).convert('RGB')
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preview_images_pil.append(img)
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except Exception as e:
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print(f"[PreviewHistory] Error loading history image '{fp}' for preview: {e}")
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# Keep error placeholder for load failures, use index 'i' for label
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preview_images_pil.append(create_placeholder(placeholder_size, f"Err {i:02d}"))
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# --- Generate Preview Data for the UI ---
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previews = []
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preview_server = server.PromptServer.instance # Get server instance
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for i, pil_img in enumerate(preview_images_pil):
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if pil_img is None: continue # Should not happen with placeholder logic
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try:
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# Use numpy array for saving temporary preview file
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img_array = np.array(pil_img).astype(np.uint8)
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# Define a unique prefix for each temp preview file in the batch
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# Simplify prefix - just use the index 'i' from the preview loop
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filename_prefix = f"PreviewHistory_Item_{i:02d}_"
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# Get path for temporary preview file
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# Note: using dimensions from pil_img directly
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full_output_folder, fname, count, subfolder, _ = folder_paths.get_save_image_path(
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filename_prefix, self.output_dir, pil_img.width, pil_img.height
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)
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file = f"{fname}_{count:05}_.png" # Temp preview is always png
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# Save the image (from history dir or placeholder) to the temporary location for UI preview
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pil_img.save(os.path.join(full_output_folder, file), quality=95) # Good quality for preview
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# Append preview info for this image
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previews.append({
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"filename": file,
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"subfolder": subfolder,
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"type": self.type
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})
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except Exception as e:
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print(f"[PreviewHistory] Error generating UI preview for image {i}: {e}")
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# Optionally skip this preview or add an error indicator? For now, just skip.
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# Return the list of preview data dictionaries
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return {"ui": {"images": previews}}
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NODE_CLASS_MAPPINGS = {
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"PreviewHistory": PreviewHistory
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"PreviewHistory": "Preview History (Raffle)"
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} |