Files
2024-08-31 16:59:16 -07:00

258 lines
7.0 KiB
Python

#!/usr/bin/env python3
# @daryltucker
import torch
import os
import time
import re
import random
import node_helpers
import numpy as np
from PIL import Image, ImageSequence, ImageOps
category = "LoadFiles"
GENERIC_INPUT_TYPES = {
"required": {
"directory": ("STRING", {"multiline": False, "default": "output/"},),
"limiter": ("STRING", {"multiline": False, "default": ".*.png"},),
"sort": (["Name", "Date Created", "Date Modified", "Size"],),
"direction": (["Acending", "Decending"],),
"splice": (['Tail', 'Head'],),
"count": ("INT", {"default": 0, "min": 0},),
"error": (["No Error", "Load Count"],),
}
}
def filterFn(option):
filter_key = os.path.basename
match option:
case 'Name':
filter_key = os.path.basename
case 'Date Created':
filter_key = os.path.getctime
case 'Date Modified':
filter_key = os.path.getmtime
case 'Size':
filter_key = os.path.getsize
return filter_key
def limiterFn(file, directory, limiter):
fullpath = f"{directory}{file}"
results = False
try:
results = (os.path.isfile(fullpath) and re.search(limiter, file))
except re.error as e:
raise Exception("LoadFiles: Double-check your regex. EXAMPLE Valid: '.*' Invalid: '*.*'")
print(e)
return results
def countCheck(files, count, error):
# Determine if Count has been met
if len(files) < count:
msg = f"LoadFiles: The directory has fewer than {count} files."
if error == "Load Count":
raise Exception(msg)
else:
print(msg)
# Fill Files List to fulfil Count request.
if len(files) > 0:
diff = count - len(files)
for i in range(0, diff):
files.append(files[i])
return files
def spliceFiles(files, splice, count):
files_txt = ''
if files and count:
if splice == "Head":
files = files[:count]
else:
files = files[-count:]
files_txt = '\n'.join(files)
return (files, files_txt)
# LoadImages #################################################################
class LoadImages:
@classmethod
def INPUT_TYPES(cls):
return GENERIC_INPUT_TYPES
RETURN_TYPES = ("IMAGE", "MASK", "STRING",)
FUNCTION = "listFiles"
CATEGORY = category
def listFiles(self, directory, limiter, sort, direction, splice, count, error):
count = int(count)
if directory[-1:] != '/':
directory = f"{directory}/"
if not os.path.isdir(directory):
raise Exception(f"LoadFiles: The path is not a valid directory: {directory}")
filter_key = filterFn(sort)
files = sorted(
filter(
lambda file: limiterFn(file, directory, limiter),
os.listdir(directory)
),
reverse=True if direction == "Decending" else False,
key=lambda file: filter_key(f"{directory}{file}")
)
# Determine if Count has been met
files = countCheck(files, count, error)
# Splice Files
files, files_txt = spliceFiles(files, splice, count)
# Process Images to gen Masks
output_images = []
output_masks = []
w, h = None, None
for filename in files:
filename = f"{directory}{filename}"
img = node_helpers.pillow(Image.open, filename)
excluded_formats = ['MPO']
for i in ImageSequence.Iterator(img):
i = node_helpers.pillow(ImageOps.exif_transpose, i)
if i.mode == 'I':
i = i.point(lambda i: i * (1 / 255))
image = i.convert("RGB")
if len(output_images) == 0:
w = image.size[0]
h = image.size[1]
if image.size[0] != w or image.size[1] != h:
continue
image = np.array(image).astype(np.float32) / 255.0
image = torch.from_numpy(image)[None,]
if 'A' in i.getbands():
mask = np.array(i.getchannel('A')).astype(np.float32) / 255.0
mask = 1. - torch.from_numpy(mask)
else:
mask = torch.zeros((64,64), dtype=torch.float32, device="cpu")
output_images.append(image)
output_masks.append(mask.unsqueeze(0))
if len(output_images) > 1 and img.format not in excluded_formats:
output_image = torch.cat(output_images, dim=0)
output_mask = torch.cat(output_masks, dim=0)
else:
output_image = output_images[0]
output_mask = output_masks[0]
return (output_image, output_mask, files_txt)
@classmethod
def IS_CHANGED(s, **kwargs):
# Always refresh files
return time.time()
# ListFilenames ##############################################################
class ListFilenames:
@classmethod
def INPUT_TYPES(cls):
return GENERIC_INPUT_TYPES
RETURN_TYPES = ("STRING",)
FUNCTION = "listFiles"
CATEGORY = category
def listFiles(self, directory, limiter, sort, direction, splice, count, error):
count = int(count)
if directory[-1:] != '/':
directory = f"{directory}/"
if not os.path.isdir(directory):
raise Exception(f"LoadFiles: The path is not a valid directory: {directory}")
filter_key = filterFn(sort)
files = sorted(
filter(
lambda file: limiterFn(file, directory, limiter),
os.listdir(directory)
),
reverse=True if direction == "Decending" else False,
key=lambda file: filter_key(f"{directory}{file}")
)
# Determine if Count has been met
files = countCheck(files, count, error)
# Splice Files
files, files_txt = spliceFiles(files, splice, count)
return (files_txt,)
@classmethod
def IS_CHANGED(s, **kwargs):
# Always refresh files
return time.time()
# CountLines #################################################################
class CountLines:
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"STRING": ("STRING", {"forceInput": True})
}
}
RETURN_TYPES = ("INT", "FLOAT", "STRING")
FUNCTION = "countLines"
CATEGORY = category
def countLines(self, STRING):
count = len(re.findall('\r*\n', STRING))
if STRING:
count = count + 1
return (int(count), float(count), str(count),)
@classmethod
def IS_CHANGED(s, **kwargs):
# Always refresh files
return time.time()
# ComfyUI Mappings ###########################################################
NODE_CLASS_MAPPINGS = {
"LoadImages": LoadImages,
"ListFilenames": ListFilenames,
"CountLines": CountLines
}
NODE_DISPLAY_NAME_MAPPINGS = {
"LoadImages": "Load Images from Directory",
"ListFilenames": "List Files in Directory",
"CountLines": "Line Count STRING"
}