Crystools breaks console colorization. After it loads all other nodes lose their colorized output on console. *FIX included*

[essence25]

After Crystools loads, all following nodes no longer have their colorized output. All text becomes white.
Normally each node have their own colorized output to highlight functions etc. Crystools breaks that.

Versions:
Crystools version: 1.27.4
Python version: 3.12.10 (tags/v3.12.10:0cc8128, Apr 8 2025, 12:21:36) [MSC v.1943 64 bit (AMD64)]
ComfyUI version: 0.18.1
comfy-aimdo version: 0.2.12
comfy-kitchen version: 0.2.8
ComfyUI frontend version: 1.42.8

Here is the fix: (I was unable to do a pull request here is the drop in replacement "core\common.py":
(just replace the common.py contents with the code below)
LET ME KNOW IF THIS IS OK AND IF YOU PLAN TO USE IT IN THE NEXT VERSION OF Crystools

import os
import json
from .config import CONFIG
from .logger import logger

# just a helper function to set the widget values (or clear them)
def setWidgetValues(value=None, unique_id=None, extra_pnginfo=None) -> None:
    if unique_id and extra_pnginfo:
        workflow = extra_pnginfo["workflow"]
        node = next((x for x in workflow["nodes"] if str(x["id"]) == unique_id), None)

        if node:
            node["widgets_values"] = value

    return None


# find difference between two jsons
def findJsonStrDiff(json1, json2):
    msgError = "Could not compare jsons"
    returnJson = {"error": msgError}
    try:
        # TODO review this
        # dict1 = json.loads(json1)
        # dict2 = json.loads(json2)

        returnJson = findJsonsDiff(json1, json2)

        returnJson = json.dumps(returnJson, indent=CONFIG["indent"])
    except Exception as e:
        logger.warn(f"{msgError}: {e}")

    return returnJson


def findJsonsDiff(json1, json2):
    from deepdiff import DeepDiff

    msgError = "Could not compare jsons"
    returnJson = {"error": msgError}

    try:
        diff = DeepDiff(json1, json2, ignore_order=True, verbose_level=2)

        returnJson = {k: v for k, v in diff.items() if
                   k in ('dictionary_item_added', 'dictionary_item_removed', 'values_changed')}

        returnJson = dict(reversed(returnJson.items()))

    except Exception as e:
        logger.warn(f"{msgError}: {e}")

    return returnJson


# powered by:
# https://github.com/WASasquatch/was-node-suite-comfyui/blob/main/WAS_Node_Suite.py
# class: WAS_Samples_Passthrough_Stat_System
def get_system_stats():
    import psutil
    import torch
    # RAM
    ram = psutil.virtual_memory()
    ram_used = ram.used / (1024 ** 3)
    ram_total = ram.total / (1024 ** 3)
    ram_stats = f"Used RAM: {ram_used:.2f} GB / Total RAM: {ram_total:.2f} GB"

    # VRAM (with PyTorch)
    device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
    vram_used = torch.cuda.memory_allocated(device) / (1024 ** 3)
    vram_total = torch.cuda.get_device_properties(device).total_memory / (1024 ** 3)
    vram_stats = f"Used VRAM: {vram_used:.2f} GB / Total VRAM: {vram_total:.2f} GB"

    # Hard Drive Space
    hard_drive = psutil.disk_usage("/")
    used_space = hard_drive.used / (1024 ** 3)
    total_space = hard_drive.total / (1024 ** 3)
    hard_drive_stats = f"Used Space: {used_space:.2f} GB / Total Space: {total_space:.2f} GB"

    return [ram_stats, vram_stats, hard_drive_stats]


# return x and y resolution of an image (torch tensor)
def getResolutionByTensor(image=None) -> dict:
    res = {"x": 0, "y": 0}

    if image is not None:
        img = image.movedim(-1, 1)

        res["x"] = img.shape[3]
        res["y"] = img.shape[2]

    return res


# by https://stackoverflow.com/questions/6080477/how-to-get-the-size-of-tar-gz-in-mb-file-in-python
def get_size(path):
    size = os.path.getsize(path)
    if size < 1024:
        return f"{size} bytes"
    elif size < pow(1024, 2):
        return f"{round(size / 1024, 2)} KB"
    elif size < pow(1024, 3):
        return f"{round(size / (pow(1024, 2)), 2)} MB"
    elif size < pow(1024, 4):
        return f"{round(size / (pow(1024, 3)), 2)} GB"


def get_nested_value(data, dotted_key, default=None):
  keys = dotted_key.split('.')
  for key in keys:
    if isinstance(data, str):
        data = json.loads(data)
    if isinstance(data, dict) and key in data:
      data = data[key]
    else:
      return default
  return data

[DaKrampus]

Thank you here also.. like the asyncio fix, this one seems to work also.. will keep it. but it was not annoying as i do not have real errors in my log. usually after an update i take it and paste it to chatgpt to check for errors i did not see or that i overlooked. actually i only have 4 deprecate warnings at the end but only if i have a workflow loaded. those warnings that come from some nodes in a workflow. they are still white only but i guess by design. other single words are green now, and the chatterbox logo is purple. The fix is very nice to have. great work!!! cant wait to have real errors. lol