File size: 4,075 Bytes
4450790 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 |
import json
import os
import re
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).
Note, for ComfyUI, all that's needed is the `__contains__` override below, which tells ComfyUI
that our node will handle the input, regardless of what it is.
However, with https://github.com/comfyanonymous/ComfyUI/pull/2666 a large change would occur
requiring more details on the input itself. There, we need to return a list/tuple where the first
item is the type. This can be a real type, or use the AnyType for additional flexibility.
This should be forwards compatible unless more changes occur in the PR.
"""
def __init__(self, type):
self.type = type
def __getitem__(self, key):
return (self.type, )
def __contains__(self, key):
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 == False:
return
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
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)
|