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daimalyad_wildcard_processor.py
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171 lines (150 loc) · 5.7 KB
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# daimalyad_wildcard_processor.py
# -----------------------------------------------------------------------------
# API-Friendly Wildcard Processor by DaimAlYad
# a ComfyUI Utility Node for Wildcard Resolution
# Class/Key: DaimalyadNodes
# Category: Text/Wildcards
#
# Copyright © 2025 Daïm Al-Yad (@daimalyad)
# Licensed under the MIT License
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
# -----------------------------------------------------------------------------
import time
import random
from typing import List, Tuple
def _resolve_wildcards(s: str, rng: random.Random) -> str:
"""
Resolve {a|b|c} groups with nesting and backslash escapes (\{ \| \}).
Returns a single fully-resolved string.
"""
n = len(s)
i = 0
out: List[str] = []
def _read_group(start_idx: int) -> Tuple[List[str], int]:
"""
Read from s[start_idx:] until the matching '}' at depth 0.
Split options by '|' only at depth 0. Respect escapes and nested braces.
Returns (options, close_index_of_right_brace).
If no matching '}', treat the entire remainder as a literal (unmatched '{').
"""
opts: List[str] = []
buf: List[str] = []
depth = 0
i2 = start_idx
while i2 < n:
c = s[i2]
# handle escapes
if c == "\\":
if i2 + 1 < n:
buf.append(s[i2 + 1])
i2 += 2
else:
# trailing backslash; keep it literal
buf.append("\\")
i2 += 1
continue
if c == "{":
depth += 1
buf.append(c)
i2 += 1
continue
if c == "}":
if depth == 0:
# close of the group
opts.append("".join(buf))
return opts, i2
else:
depth -= 1
buf.append(c)
i2 += 1
continue
if c == "|" and depth == 0:
# split at top-level
opts.append("".join(buf))
buf = []
i2 += 1
continue
# normal char
buf.append(c)
i2 += 1
# unmatched '{' -> treat literally
return ["{" + "".join(buf)], i2
while i < n:
c = s[i]
if c == "\\":
# escape sequence: keep next char literally if present
if i + 1 < n:
out.append(s[i + 1])
i += 2
else:
out.append("\\")
i += 1
elif c == "{":
options, close_idx = _read_group(i + 1)
# pick one option, then resolve any nested groups within it
picked = rng.choice(options) if options else ""
out.append(_resolve_wildcards(picked, rng))
i = close_idx + 1 # step past the closing '}'
else:
out.append(c)
i += 1
return "".join(out)
class DaimalyadWildcardProcessor:
"""
Node: API-Friendly Wildcard Processor
- text: STRING (multiline) possibly containing wildcards
Output: STRING (fully-resolved with nanosecond timestamp-based randomization)
This node always produces fresh, non-reproducible wildcard resolution.
Each execution uses the current nanosecond timestamp for randomization.
"""
OUTPUT_NODE = True # Force re-execution
CATEGORY = "Text/Wildcards"
FUNCTION = "resolve"
RETURN_TYPES = ("STRING",)
RETURN_NAMES = ("text",)
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"text": ("STRING", {"default": "", "multiline": True}),
}
}
@classmethod
def IS_CHANGED(cls, **kwargs):
"""
Force fresh execution every time by returning NaN.
This prevents any caching and ensures the node always executes.
"""
return float("NaN")
def resolve(self, text: str):
"""
Resolve wildcards using current nanosecond timestamp for randomization.
Output is never reproducible - always fresh randomization on each execution.
"""
# Use current nanosecond timestamp for randomization
timestamp_seed = int(time.time_ns())
rng = random.Random(timestamp_seed)
# Add debug output to see what's happening
print(f"[WildcardProcessor] Using seed: {timestamp_seed}")
print(f"[WildcardProcessor] Input: {text}")
# Resolve wildcards and return
result = _resolve_wildcards(text, rng)
print(f"[WildcardProcessor] Output: {result}")
return (result,)