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import json
import os
import re
from typing import Union
class AnyType(str):
"""A special class that is always equal in not equal comparisons. Credit to pythongosssss"""
def __ne__(self, __value: object) -> bool:
return False
class FlexibleOptionalInputType(dict):
"""A special class to make flexible nodes that pass data to our python handlers.
Enables both flexible/dynamic input types (like for Any Switch) or a dynamic number of inputs
(like for Any Switch, Context Switch, Context Merge, Power Lora Loader, etc).
Initially, ComfyUI only needed to return True for `__contains__` below, which told ComfyUI that
our node will handle the input, regardless of what it is.
However, after https://github.com/comfyanonymous/ComfyUI/pull/2666 ComdyUI's execution changed
also checking the data for the key; specifcially, the type which is the first tuple entry. This
type is supplied to our FlexibleOptionalInputType and returned for any non-data key. This can be a
real type, or use the AnyType for additional flexibility.
"""
def __init__(self, type, data: Union[dict, None] = None):
"""Initializes the FlexibleOptionalInputType.
Args:
type: The flexible type to use when ComfyUI retrieves an unknown key (via `__getitem__`).
data: An optional dict to use as the basis. This is stored both in a `data` attribute, so we
can look it up without hitting our overrides, as well as iterated over and adding its key
and values to our `self` keys. This way, when looked at, we will appear to represent this
data. When used in an "optional" INPUT_TYPES, these are the starting optional node types.
"""
self.type = type
self.data = data
if self.data is not None:
for k, v in self.data.items():
self[k] = v
def __getitem__(self, key):
# If we have this key in the initial data, then return it. Otherwise return the tuple with our
# flexible type.
if self.data is not None and key in self.data:
val = self.data[key]
return val
return (self.type,)
def __contains__(self, key):
"""Always contain a key, and we'll always return the tuple above when asked for it."""
return True
any_type = AnyType("*")
def is_dict_value_falsy(data: dict, dict_key: str):
"""Checks if a dict value is falsy."""
val = get_dict_value(data, dict_key)
return not val
def get_dict_value(data: dict, dict_key: str, default=None):
"""Gets a deeply nested value given a dot-delimited key."""
keys = dict_key.split('.')
key = keys.pop(0) if len(keys) > 0 else None
found = data[key] if key in data else None
if found is not None and len(keys) > 0:
return get_dict_value(found, '.'.join(keys), default)
return found if found is not None else default
def set_dict_value(data: dict, dict_key: str, value, create_missing_objects=True):
"""Sets a deeply nested value given a dot-delimited key."""
keys = dict_key.split('.')
key = keys.pop(0) if len(keys) > 0 else None
if key not in data:
if create_missing_objects is False:
return data
data[key] = {}
if len(keys) == 0:
data[key] = value
else:
set_dict_value(data[key], '.'.join(keys), value, create_missing_objects)
return data
def dict_has_key(data: dict, dict_key):
"""Checks if a dict has a deeply nested dot-delimited key."""
keys = dict_key.split('.')
key = keys.pop(0) if len(keys) > 0 else None
if key is None or key not in data:
return False
if len(keys) == 0:
return True
return dict_has_key(data[key], '.'.join(keys))
def load_json_file(file: str, default=None):
"""Reads a json file and returns the json dict, stripping out "//" comments first."""
if path_exists(file):
with open(file, 'r', encoding='UTF-8') as file:
config = file.read()
try:
return json.loads(config)
except json.decoder.JSONDecodeError:
try:
config = re.sub(r"^\s*//\s.*", "", config, flags=re.MULTILINE)
return json.loads(config)
except json.decoder.JSONDecodeError:
try:
config = re.sub(r"(?:^|\s)//.*", "", config, flags=re.MULTILINE)
return json.loads(config)
except json.decoder.JSONDecodeError:
pass
return default
def save_json_file(file_path: str, data: dict):
"""Saves a json file."""
os.makedirs(os.path.dirname(file_path), exist_ok=True)
with open(file_path, 'w+', encoding='UTF-8') as file:
json.dump(data, file, sort_keys=False, indent=2, separators=(",", ": "))
def path_exists(path):
"""Checks if a path exists, accepting None type."""
if path is not None:
return os.path.exists(path)
return False
def file_exists(path):
"""Checks if a file exists, accepting None type."""
if path is not None:
return os.path.isfile(path)
return False
def remove_path(path):
"""Removes a path, if it exists."""
if path_exists(path):
os.remove(path)
return True
return False
class ByPassTypeTuple(tuple):
"""A special class that will return additional "AnyType" strings beyond defined values.
Credit to Trung0246
"""
def __getitem__(self, index):
if index > len(self) - 1:
return AnyType("*")
return super().__getitem__(index)