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8769c21ee5db9730506d2a33d31b3cf7547b06aa
acorderob-sd-webui-prompt-p…/ppp.py
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Antonio Cordero Balcazar 8769c21ee5 * new "optional" parameter for choices/wildcard. 
* added "$$" to end of parameters as first choice in a wildcard, to avoid confusion with a choice that could be considered parameters.
* additional fixes in the parser.
2025-09-06 18:14:00 +02:00

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import logging
import math
import os
import re
import textwrap
import time
from collections import namedtuple
from enum import Enum
from typing import Any, Callable, Optional
import lark
import numpy as np
from ppp_hosts import SUPPORTED_APPS # pylint: disable=import-error
from ppp_logging import DEBUG_LEVEL # pylint: disable=import-error
from ppp_wildcards import PPPWildcard, PPPWildcards # pylint: disable=import-error
from ppp_enmappings import PPPENMappingVariant, PPPExtraNetworkMappings # pylint: disable=import-error
class PPPInterrupt(Exception):
"""
Custom exception to handle interruptions in the PromptPostProcessor.
This exception can be raised to stop the processing of prompts.
"""
def __init__(self, message: str = "Processing interrupted.", pos_prefix: str = "", neg_prefix: str = ""):
super().__init__(message)
self.message = message
self.pos_prefix = pos_prefix
self.neg_prefix = neg_prefix
class PromptPostProcessor: # pylint: disable=too-few-public-methods,too-many-instance-attributes
"""
The PromptPostProcessor class is responsible for processing and manipulating prompt strings.
"""
@staticmethod
def get_version_from_pyproject() -> str:
"""
Reads the version from the pyproject.toml file.
Returns:
str: The version string.
"""
version_str = "0.0.0"
try:
pyproject_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "pyproject.toml")
with open(pyproject_path, "r", encoding="utf-8") as file:
for line in file:
if line.startswith("version = "):
version_str = line.split("=")[1].strip().strip('"')
break
except Exception as e: # pylint: disable=broad-exception-caught
logging.getLogger().exception(e)
return version_str
NAME = "Prompt Post-Processor"
VERSION = get_version_from_pyproject()
class IFWILDCARDS_CHOICES(Enum):
ignore = "ignore"
remove = "remove"
warn = "warn"
stop = "stop"
class ONWARNING_CHOICES(Enum):
warn = "warn"
stop = "stop"
DEFAULT_STN_SEPARATOR = ", "
DEFAULT_VARIANTS_DEFINITIONS = "pony(sdxl)=pony,pny,pdxl\nillustrious(sdxl)=illustrious,illust,ilxl"
DEFAULT_CHOICE_SEPARATOR = ", "
WILDCARD_WARNING = '(WARNING TEXT "INVALID WILDCARD" IN BRIGHT RED:1.5)\nBREAK '
WILDCARD_STOP = "INVALID WILDCARD! {0}\nBREAK "
UNPROCESSED_STOP = "UNPROCESSED CONSTRUCTS!\nBREAK "
INVALID_CONTENT_STOP = "INVALID CONTENT! {0}\nBREAK "
SUPPORTED_MODELS = [
"sd1",
"sd2",
"sdxl",
"sd3",
"flux",
"auraflow",
]
def __init__(
self,
logger: logging.Logger,
interrupt: Optional[Callable],
env_info: dict[str, Any],
options: Optional[dict[str, Any]] = None,
grammar_content: Optional[str] = None,
wildcards_obj: PPPWildcards = None,
extranetwork_mappings_obj: PPPExtraNetworkMappings = None,
):
"""
Initializes the PPP object.
Args:
logger: The logger object.
interrupt: The interrupt function.
env_info: A dictionary with information for the environment and loaded model.
options: Optional. The options dictionary for configuring PPP behavior.
grammar_content: Optional. The grammar content to be used for parsing.
wildcards_obj: Optional. The wildcards object to be used for processing wildcards.
extranetwork_mappings_obj: Optional. The extranetwork mappings object to be used for processing.
"""
self.logger = logger
self.rng = np.random.default_rng() # gets seeded on each process prompt call
self.interrupt_callback = interrupt
self.options = options
self.env_info = env_info
self.wildcard_obj = wildcards_obj
self.extranetwork_mappings_obj = extranetwork_mappings_obj
# General options
self.debug_level = DEBUG_LEVEL(options.get("debug_level", DEBUG_LEVEL.none.value))
self.gen_onwarning = self.ONWARNING_CHOICES(options.get("on_warning", self.ONWARNING_CHOICES.warn.value))
variants_definitions_option = str(options.get("variants_definitions", self.DEFAULT_VARIANTS_DEFINITIONS))
self.variants_definitions = {}
if variants_definitions_option:
lines = variants_definitions_option.splitlines()
for line in lines:
if "=" in line:
model_tag, elements = line.split("=", 1)
model_name, model_type = re.match(r"(\w+)(?:\((\w+)\))?", model_tag).groups()
if model_type is not None and model_type not in self.SUPPORTED_MODELS:
self.logger.warning(
f"Unsupported model type '{model_type}' in definition for variant '{model_name}'."
)
elif model_name in self.SUPPORTED_MODELS:
self.logger.warning(f"Invalid model name in definition for variant '{model_name}'.")
else:
self.variants_definitions[model_name.strip()] = (
model_type or "",
[element.strip() for element in elements.split(",")],
)
# Wildcards options
self.wil_process_wildcards = options.get("process_wildcards", True)
self.wil_keep_choices_order = options.get("keep_choices_order", False)
self.wil_choice_separator = options.get("choice_separator", self.DEFAULT_CHOICE_SEPARATOR)
self.wil_ifwildcards = self.IFWILDCARDS_CHOICES(
options.get("if_wildcards", self.IFWILDCARDS_CHOICES.stop.value)
)
# Send to negative options
self.stn_ignore_repeats = options.get("stn_ignore_repeats", True)
self.stn_separator = options.get("stn_separator", self.DEFAULT_STN_SEPARATOR)
# Cleanup options
self.cup_extraspaces = options.get("cleanup_extra_spaces", True)
self.cup_emptyconstructs = options.get("cleanup_empty_constructs", True)
self.cup_extraseparators = options.get("cleanup_extra_separators", True)
self.cup_extraseparators2 = options.get("cleanup_extra_separators2", True)
self.cup_extraseparators_include_eol = options.get("cleanup_extra_separators_include_eol", False)
self.cup_breaks = options.get("cleanup_breaks", True)
self.cup_breaks_eol = options.get("cleanup_breaks_eol", False)
self.cup_ands = options.get("cleanup_ands", True)
self.cup_ands_eol = options.get("cleanup_ands_eol", False)
self.cup_extranetworktags = options.get("cleanup_extranetwork_tags", False)
self.cup_mergeattention = options.get("cleanup_merge_attention", True)
# Remove options
self.rem_removeextranetworktags = options.get("remove_extranetwork_tags", False)
# if self.debug_level != DEBUG_LEVEL.none:
# self.logger.info(f"Detected environment info: {env_info}")
# Process with lark (debug with https://www.lark-parser.org/ide/)
if grammar_content is None:
grammar_filename = os.path.join(os.path.dirname(os.path.realpath(__file__)), "grammar.lark")
with open(grammar_filename, "r", encoding="utf-8") as file:
grammar_content = file.read()
# Preprocess grammar content for conditional compilation
self.parser_full_only_old = lark.Lark(
self.__preprocess_grammar(
grammar_content,
{
"ALLOW_NEW_CONTENT": False,
"ALLOW_WILDCARDS": False,
"ALLOW_CHOICES": False,
"ALLOW_COMMVARS": False,
},
),
propagate_positions=True,
)
grammar_content_full = self.__preprocess_grammar(
grammar_content,
{
"ALLOW_NEW_CONTENT": True,
"ALLOW_WILDCARDS": True,
"ALLOW_CHOICES": True,
"ALLOW_COMMVARS": True,
},
)
self.parser_complete_full = lark.Lark(
grammar_content_full,
propagate_positions=True,
)
self.parser_complete_wc_ch = lark.Lark(
self.__preprocess_grammar(
grammar_content,
{
"ALLOW_NEW_CONTENT": True,
"ALLOW_WILDCARDS": True,
"ALLOW_CHOICES": True,
"ALLOW_COMMVARS": False,
},
),
propagate_positions=True,
)
self.parser_complete_wc_cv = lark.Lark(
self.__preprocess_grammar(
grammar_content,
{
"ALLOW_NEW_CONTENT": True,
"ALLOW_WILDCARDS": True,
"ALLOW_CHOICES": False,
"ALLOW_COMMVARS": True,
},
),
propagate_positions=True,
)
self.parser_complete_ch_cv = lark.Lark(
self.__preprocess_grammar(
grammar_content,
{
"ALLOW_NEW_CONTENT": True,
"ALLOW_WILDCARDS": False,
"ALLOW_CHOICES": True,
"ALLOW_COMMVARS": True,
},
),
propagate_positions=True,
)
self.parser_complete_wc = lark.Lark(
self.__preprocess_grammar(
grammar_content,
{
"ALLOW_NEW_CONTENT": True,
"ALLOW_WILDCARDS": True,
"ALLOW_CHOICES": False,
"ALLOW_COMMVARS": False,
},
),
propagate_positions=True,
)
self.parser_complete_ch = lark.Lark(
self.__preprocess_grammar(
grammar_content,
{
"ALLOW_NEW_CONTENT": True,
"ALLOW_WILDCARDS": False,
"ALLOW_CHOICES": True,
"ALLOW_COMMVARS": False,
},
),
propagate_positions=True,
)
self.parser_complete_cv = lark.Lark(
self.__preprocess_grammar(
grammar_content,
{
"ALLOW_NEW_CONTENT": True,
"ALLOW_WILDCARDS": False,
"ALLOW_CHOICES": False,
"ALLOW_COMMVARS": True,
},
),
propagate_positions=True,
)
# Partial parsers
self.parser_content = lark.Lark(
grammar_content_full,
propagate_positions=True,
start="content",
)
self.parser_choice = lark.Lark(
grammar_content_full,
propagate_positions=True,
start="choice",
)
self.parser_choicesoptions = lark.Lark(
grammar_content_full,
propagate_positions=True,
start="choicesoptions",
)
self.parser_condition = lark.Lark(
grammar_content_full,
propagate_positions=True,
start="condition",
)
self.parser_choicevalue = lark.Lark(
grammar_content_full,
propagate_positions=True,
start="choicevalue",
)
self.__init_sysvars()
self.user_variables = {}
self.echoed_variables = {}
def __preprocess_grammar(self, grammar_content: str, options: dict[str, bool]) -> str:
"""
Preprocesses the grammar content to handle conditional compilation directives.
Args:
grammar_content (str): The raw grammar content.
options (dict[str,bool]): Options for preprocessing.
Returns:
str: The preprocessed grammar content.
"""
lines = grammar_content.split("\n")
result_lines = []
skip_current_block = []
all_blocks_skipped = []
def evaluate_conditions(conditions: list[str]) -> bool:
"""
Evaluates the conditions based on the provided options. Allows for negation with '!' prefix.
Args:
conditions (list[str]): List of conditions to evaluate.
Returns:
bool: True if all conditions are met, False otherwise.
"""
r = True
for condition in conditions:
if condition.startswith("!"):
r = r and not options.get(condition[1:], False)
else:
r = r and options.get(condition, True)
return r
for line in lines:
stripped_line = line.strip()
if stripped_line.startswith("//#if"):
# Extract condition from the #if directive
conditions = stripped_line[5:].strip().split(" ")
# Evaluate the conditions
skip_current_block.append(not evaluate_conditions(conditions))
all_blocks_skipped.append(skip_current_block[-1])
continue
if stripped_line.startswith("//#elif"):
if not skip_current_block:
self.logger.warning("Unmatched //#elif directive found in grammar content.")
elif all_blocks_skipped[-1]:
# Extract condition from the #elif directive
conditions = stripped_line[7:].strip().split(" ")
# Evaluate the conditions
skip_current_block[-1] = not evaluate_conditions(conditions)
if not skip_current_block[-1]:
all_blocks_skipped[-1] = False
else:
skip_current_block[-1] = True
continue
if stripped_line.startswith("//#else"):
if not skip_current_block:
self.logger.warning("Unmatched //#else directive found in grammar content.")
elif all_blocks_skipped[-1]:
skip_current_block[-1] = False
else:
skip_current_block[-1] = True
continue
if stripped_line.startswith("//#endif"):
if not skip_current_block:
self.logger.warning("Unmatched //#endif directive found in grammar content.")
else:
skip_current_block.pop()
all_blocks_skipped.pop()
continue
# Include the line if we're not skipping any current block
if not any(skip_current_block):
result_lines.append(stripped_line)
# Check for unclosed blocks at the end
if skip_current_block:
self.logger.warning(
f"Found {len(skip_current_block)} unclosed conditional directive(s) at the end of the file"
)
return "\n".join(result_lines)
def interrupt(self):
if self.interrupt_callback is not None:
self.interrupt_callback()
def format_output(self, text: str) -> str:
"""
Formats the output text by encoding it using unicode_escape and decoding it using utf-8.
Args:
text (str): The input text to be formatted.
Returns:
str: The formatted output text.
"""
return text.encode("unicode_escape").decode("utf-8")
def is_comfy_ui(self) -> bool:
"""
Checks if the current environment is ComfyUI.
Returns:
bool: True if the environment is ComfyUI, False otherwise.
"""
return self.env_info.get("app", "") == SUPPORTED_APPS.comfyui.value
def __init_sysvars(self):
"""
Initializes the system variables.
"""
self.system_variables = {}
sdchecks = {x: self.env_info.get("is_" + x, False) for x in self.SUPPORTED_MODELS}
sdchecks.update({"": True})
self.system_variables["_model"] = [k for k, v in sdchecks.items() if v][0]
self.system_variables["_sd"] = self.system_variables["_model"] # deprecated
model_filename = self.env_info.get("model_filename", "")
self.system_variables["_sdfullname"] = model_filename # deprecated
self.system_variables["_modelfullname"] = model_filename
self.system_variables["_sdname"] = os.path.basename(model_filename) # deprecated
self.system_variables["_modelname"] = os.path.basename(model_filename)
self.system_variables["_modelclass"] = self.env_info.get("model_class", "")
is_models = {
model_name: (model_type_and_substrings[0] == "" or sdchecks.get(model_type_and_substrings[0], False))
and any(s in model_filename.lower() for s in model_type_and_substrings[1])
for model_name, model_type_and_substrings in self.variants_definitions.items()
if model_name not in self.SUPPORTED_MODELS
}
is_models_true = [k for k, v in is_models.items() if v]
if len(is_models_true) > 1:
self.logger.warning(
f"Multiple model variants detected at the same time in the filename!: {', '.join(is_models_true)}"
)
self.system_variables.update({"_is_" + x: y for x, y in is_models.items()})
for x in sdchecks.keys():
if x != "":
self.system_variables["_is_" + x] = sdchecks[x]
self.system_variables["_is_pure_" + x] = sdchecks[x] and not any(is_models.values())
self.system_variables["_is_variant_" + x] = sdchecks[x] and any(is_models.values())
# special cases
self.system_variables["_is_sd"] = sdchecks["sd1"] or sdchecks["sd2"] or sdchecks["sdxl"] or sdchecks["sd3"]
is_ssd = self.env_info.get("is_ssd", False)
self.system_variables["_is_ssd"] = is_ssd
self.system_variables["_is_sdxl_no_ssd"] = sdchecks["sdxl"] and not is_ssd
# backcompatibility (but the modern one to use would be _is_pure_sdxl)
self.system_variables["_is_sdxl_no_pony"] = sdchecks["sdxl"] and not self.system_variables.get(
"_is_pony", False
)
def __add_to_insertion_points(
self, negative_prompt: str, add_at_insertion_point: list[str], insertion_at: list[tuple[int, int]]
) -> str:
"""
Adds the negative prompt to the insertion points.
Args:
negative_prompt (str): The negative prompt to be added.
add_at_insertion_point (list): A list of insertion points.
insertion_at (list): A list of insertion blocks.
Returns:
str: The modified negative prompt.
"""
ordered_range = sorted(
range(10), key=lambda x: insertion_at[x][0] if insertion_at[x] is not None else float("-inf"), reverse=True
)
for n in ordered_range:
if insertion_at[n] is not None:
ipp = insertion_at[n][0]
ipl = insertion_at[n][1] - insertion_at[n][0]
if negative_prompt[ipp - len(self.stn_separator) : ipp] == self.stn_separator:
ipp -= len(self.stn_separator) # adjust for existing start separator
ipl += len(self.stn_separator)
add_at_insertion_point[n].insert(0, negative_prompt[:ipp])
if negative_prompt[ipp + ipl : ipp + ipl + len(self.stn_separator)] == self.stn_separator:
ipl += len(self.stn_separator) # adjust for existing end separator
endPart = negative_prompt[ipp + ipl :]
if len(endPart) > 0:
add_at_insertion_point[n].append(endPart)
negative_prompt = self.stn_separator.join(add_at_insertion_point[n])
else:
ipp = 0
if negative_prompt.startswith(self.stn_separator):
ipp = len(self.stn_separator)
add_at_insertion_point[n].append(negative_prompt[ipp:])
negative_prompt = self.stn_separator.join(add_at_insertion_point[n])
return negative_prompt
def __add_to_start(self, negative_prompt: str, add_at_start: list[str]) -> str:
"""
Adds the elements in `add_at_start` list to the start of the `negative_prompt` string.
Args:
negative_prompt (str): The original negative prompt string.
add_at_start (list): The list of elements to be added at the start of the negative prompt.
Returns:
str: The updated negative prompt string with the elements added at the start.
"""
if len(negative_prompt) > 0:
ipp = 0
if negative_prompt.startswith(self.stn_separator):
ipp = len(self.stn_separator) # adjust for existing end separator
add_at_start.append(negative_prompt[ipp:])
negative_prompt = self.stn_separator.join(add_at_start)
return negative_prompt
def __add_to_end(self, negative_prompt: str, add_at_end: list[str]) -> str:
"""
Adds the elements in `add_at_end` list to the end of `negative_prompt` string.
Args:
negative_prompt (str): The original negative prompt string.
add_at_end (list): The list of elements to be added at the end of `negative_prompt`.
Returns:
str: The updated negative prompt string with elements added at the end.
"""
if len(negative_prompt) > 0:
ipl = len(negative_prompt)
if negative_prompt.endswith(self.stn_separator):
ipl -= len(self.stn_separator) # adjust for existing start separator
add_at_end.insert(0, negative_prompt[:ipl])
negative_prompt = self.stn_separator.join(add_at_end)
return negative_prompt
def __cleanup(self, text: str) -> str:
"""
Trims the given text based on the specified cleanup options.
Args:
text (str): The text to be cleaned up.
Returns:
str: The resulting text.
"""
escapedSeparator = re.escape(self.stn_separator)
optwhitespace = r"\s*" if self.cup_extraseparators_include_eol else r"[ \t\v\f]*"
optwhitespace_separator = optwhitespace + escapedSeparator + optwhitespace
optwhitespace_comma = optwhitespace + "," + optwhitespace
sep_options = [(optwhitespace_separator, self.stn_separator)] # sendtonegative separator
if optwhitespace_comma != optwhitespace_separator:
sep_options.append((optwhitespace_comma, ", ")) # regular comma separator
for sep, replacement in sep_options:
if self.cup_extraseparators:
# collapse separators
text = re.sub(r"(?:" + sep + r"){2,}", replacement, text)
# remove separator after starting parenthesis or bracket
text = re.sub(
r"(" + sep + r"[([])(?:" + sep + r")+",
r"\1",
text,
)
# remove before colon or ending parenthesis or bracket
text = re.sub(
r"(?:" + sep + r")+([:)\]]" + sep + r")",
r"\1",
text,
)
if self.cup_extraseparators2:
# remove at start of prompt or line
text = re.sub(r"^(?:" + sep + r")+", "", text, flags=re.MULTILINE)
# remove at end of prompt or line
text = re.sub(r"(?:" + sep + r")+$", "", text, flags=re.MULTILINE)
if self.cup_breaks_eol:
# replace spaces before break with EOL
text = re.sub(r"[, ]+BREAK\b", "\nBREAK", text)
if self.cup_breaks:
# collapse separators and commas before BREAK
text = re.sub(r"[, ]+BREAK\b", " BREAK", text)
# collapse separators and commas after BREAK
text = re.sub(r"\bBREAK[, ]+", "BREAK ", text)
# collapse separators and commas around BREAK
text = re.sub(r"[, ]+BREAK[, ]+", " BREAK ", text)
# collapse BREAKs
text = re.sub(r"\bBREAK(?:\s+BREAK)+\b", " BREAK ", text)
# remove spaces between start of line and BREAK
text = re.sub(r"^[ ]+BREAK\b", "BREAK", text, flags=re.MULTILINE)
# remove spaces between BREAK and end of line
text = re.sub(r"\bBREAK[ ]+$", "BREAK", text, flags=re.MULTILINE)
# remove at start of prompt
text = re.sub(r"\A(?:\s*BREAK\b\s*)+", "", text)
# remove at end of prompt
text = re.sub(r"(?:\s*\bBREAK\s*)+\Z", "", text)
if self.cup_ands:
# collapse ANDs with space after
text = re.sub(r"\bAND(?:\s+AND)+\s+", "AND ", text)
# collapse ANDs without space after
text = re.sub(r"\bAND(?:\s+AND)+\b", "AND", text)
# collapse separators and spaces before ANDs
text = re.sub(r"[, ]+AND\b", " AND", text)
# collapse separators and spaces after ANDs
text = re.sub(r"\bAND[, ]+", "AND ", text)
# remove at start of prompt
text = re.sub(r"\A(?:AND\b\s*)+", "", text)
# remove at end of prompt
text = re.sub(r"(\s*\bAND)+\Z", "", text)
if self.cup_extranetworktags:
# remove spaces before <
text = re.sub(r"\B\s+<(?!!)", "<", text)
# remove spaces after >
text = re.sub(r">\s+\B", ">", text)
if self.cup_extraspaces:
# remove spaces before comma
text = re.sub(r"[ ]+,", ",", text)
# remove spaces at end of line
text = re.sub(r"[ ]+$", "", text, flags=re.MULTILINE)
# remove spaces at start of line
text = re.sub(r"^[ ]+", "", text, flags=re.MULTILINE)
# remove extra whitespace after starting parenthesis or bracket
text = re.sub(r"([,\.;\s]+[([])\s+", r"\1", text)
# remove extra whitespace before ending parenthesis or bracket
text = re.sub(r"\s+([)\]][,\.;\s]+)", r"\1", text)
# remove empty lines
text = re.sub(r"(?:^|\n)[ ]*\n", "\n", text)
text = re.sub(r"\n[ ]*\n$", "\n", text)
# collapse spaces
text = re.sub(r"[ ]{2,}", " ", text)
# remove spaces at start and end
text = text.strip()
return text
def __get_best_parser(self, prompt: str) -> tuple[lark.Lark, str]:
"""
Checks the prompt and returns the best parser to use based on its content.
Args:
prompt (str): The prompt to check.
Returns:
tuple[lark.Lark, str]: The best parser and its description.
"""
tests = {
"ALLOW_WILDCARDS": re.search(r"(?<!\\)__", prompt) is not None,
"ALLOW_CHOICES": re.search(r"(?<!\$\\)\{|\}", prompt) is not None,
"ALLOW_COMMVARS": re.search(r"(?<!\\)(?:<ppp:|\$\{)", prompt) is not None,
}
if tests["ALLOW_WILDCARDS"] and tests["ALLOW_CHOICES"] and tests["ALLOW_COMMVARS"]:
return (
self.parser_complete_full,
"full parser with wildcards, choices, commands and variables",
)
if tests["ALLOW_WILDCARDS"] and tests["ALLOW_CHOICES"]:
return (
self.parser_complete_wc_ch,
"parser with wildcards and choices",
)
if tests["ALLOW_WILDCARDS"] and tests["ALLOW_COMMVARS"]:
return (
self.parser_complete_wc_cv,
"parser with wildcards, commands and variables",
)
if tests["ALLOW_CHOICES"] and tests["ALLOW_COMMVARS"]:
return (
self.parser_complete_ch_cv,
"parser with choices, commands and variables",
)
if tests["ALLOW_WILDCARDS"]:
return (
self.parser_complete_wc,
"parser with wildcards",
)
if tests["ALLOW_CHOICES"]:
return (
self.parser_complete_ch,
"parser with choices",
)
if tests["ALLOW_COMMVARS"]:
return (
self.parser_complete_cv,
"parser with commands and variables",
)
return (
self.parser_full_only_old,
"simple parser without new constructs",
)
def __processprompts(self, prompt, negative_prompt):
"""
Process the prompt and negative prompt.
Args:
prompt (str): The prompt.
negative_prompt (str): The negative prompt.
Returns:
tuple: A tuple containing the processed prompt and negative prompt.
"""
self.user_variables = {}
self.echoed_variables = {}
all_variables = {**self.system_variables}
# Process prompt
p_processor = self.TreeProcessor(self)
(prompt_parser, parser_description) = self.__get_best_parser(prompt)
if self.debug_level == DEBUG_LEVEL.full:
self.logger.debug(f"Using {parser_description} for prompt")
p_parsed = self.parse_prompt(
"prompt",
prompt,
prompt_parser,
)
prompt = p_processor.start_visit("prompt", p_parsed, False)
# Process negative prompt
n_processor = self.TreeProcessor(self)
(n_prompt_parser, n_parser_description) = self.__get_best_parser(negative_prompt)
if self.debug_level == DEBUG_LEVEL.full:
self.logger.debug(f"Using {n_parser_description} for negative prompt")
n_parsed = self.parse_prompt(
"negative prompt",
negative_prompt,
n_prompt_parser,
)
negative_prompt = n_processor.start_visit("negative prompt", n_parsed, True)
var_keys = set(self.user_variables.keys()).union(set(self.echoed_variables.keys()))
all_variables.update(
{k: self.echoed_variables.get(k, p_processor.get_final_user_variable(k)) for k in var_keys}
)
# Insertions in the negative prompt
if self.debug_level == DEBUG_LEVEL.full:
self.logger.debug(self.format_output(f"New negative additions: {p_processor.add_at}"))
self.logger.debug(self.format_output(f"New negative indexes: {n_processor.insertion_at}"))
negative_prompt = self.__add_to_insertion_points(
negative_prompt, p_processor.add_at["insertion_point"], n_processor.insertion_at
)
if p_processor.add_at["start"]:
negative_prompt = self.__add_to_start(negative_prompt, p_processor.add_at["start"])
if p_processor.add_at["end"]:
negative_prompt = self.__add_to_end(negative_prompt, p_processor.add_at["end"])
# Clean up
prompt = self.__cleanup(prompt)
negative_prompt = self.__cleanup(negative_prompt)
# Check for wildcards not processed
foundP = bool(p_processor.detectedWildcards)
foundNP = bool(n_processor.detectedWildcards)
if foundP or foundNP:
if self.wil_ifwildcards == self.IFWILDCARDS_CHOICES.stop:
self.logger.error("Found unprocessed wildcards!")
else:
self.logger.info("Found unprocessed wildcards.")
ppwl = ", ".join(p_processor.detectedWildcards)
npwl = ", ".join(n_processor.detectedWildcards)
if foundP:
self.logger.error(self.format_output(f"In the positive prompt: {ppwl}"))
if foundNP:
self.logger.error(self.format_output(f"In the negative prompt: {npwl}"))
if self.wil_ifwildcards == self.IFWILDCARDS_CHOICES.warn:
prompt = self.WILDCARD_WARNING + prompt
elif self.wil_ifwildcards == self.IFWILDCARDS_CHOICES.stop:
raise PPPInterrupt(
"Found unprocessed wildcards!",
self.WILDCARD_STOP.format(ppwl) if foundP else "",
self.WILDCARD_STOP.format(npwl) if foundNP else "",
)
# Check for special character sequences that should not be in the result
compound_prompt = prompt + "\n" + negative_prompt
found_sequences = re.findall(r"::|\$\$|\$\{|[{}]", compound_prompt)
if found_sequences:
self.logger.warning(
f"""Found probably invalid character sequences on the result ({', '.join(map(lambda x: '"' + x + '"', set(found_sequences)))}). Something might be wrong!"""
)
return prompt, negative_prompt, all_variables
def process_prompt(
self,
original_prompt: str,
original_negative_prompt: str,
seed: int = 0,
):
"""
Initializes the random number generator and processes the prompt and negative prompt.
Args:
original_prompt (str): The original prompt.
original_negative_prompt (str): The original negative prompt.
seed (int): The seed.
Returns:
tuple: A tuple containing the processed prompt, negative prompt and all the prompt variables.
"""
all_variables = {}
try:
if seed == -1:
seed = np.random.randint(0, 2**32, dtype=np.int64)
self.rng = np.random.default_rng(seed & 0xFFFFFFFF)
prompt = original_prompt
negative_prompt = original_negative_prompt
self.debug_level = DEBUG_LEVEL(self.options.get("debug_level", DEBUG_LEVEL.none.value))
if self.debug_level != DEBUG_LEVEL.none:
self.logger.info(f"System variables: {self.system_variables}")
self.logger.info(f"Input seed: {seed}")
self.logger.info(self.format_output(f"Input prompt: {prompt}"))
self.logger.info(self.format_output(f"Input negative_prompt: {negative_prompt}"))
t1 = time.monotonic_ns()
prompt, negative_prompt, all_variables = self.__processprompts(prompt, negative_prompt)
t2 = time.monotonic_ns()
if self.debug_level != DEBUG_LEVEL.none:
self.logger.info(self.format_output(f"Result prompt: {prompt}"))
self.logger.info(self.format_output(f"Result negative_prompt: {negative_prompt}"))
self.logger.info(f"Process prompt pair time: {(t2 - t1) / 1_000_000_000:.3f} seconds")
# if self.debug_level != DEBUG_LEVEL.none:
# self.logger.debug(f"Wildcards memory usage: {self.wildcard_obj.__sizeof__()}")
# Check for constructs not processed due to parsing problems
fullcontent: str = prompt + negative_prompt
if fullcontent.find("<ppp:") >= 0:
raise PPPInterrupt(
"Found unprocessed constructs!",
self.UNPROCESSED_STOP if prompt.find("<ppp:") >= 0 else "",
self.UNPROCESSED_STOP if negative_prompt.find("<ppp:") >= 0 else "",
)
return prompt, negative_prompt, all_variables
except PPPInterrupt as e:
self.logger.error(e.message)
if e.pos_prefix:
prompt = e.pos_prefix + prompt
if e.neg_prefix:
negative_prompt = e.neg_prefix + negative_prompt
self.logger.error("Interrupting!")
self.interrupt()
return prompt, negative_prompt, all_variables
except Exception as e: # pylint: disable=broad-exception-caught
self.logger.exception(e)
return original_prompt, original_negative_prompt, all_variables
def parse_prompt(self, prompt_description: str, prompt: str, parser: lark.Lark, raise_parsing_error: bool = False):
"""
Parses a prompt using the specified parser.
Args:
prompt_description (str): The description of the prompt.
prompt (str): The prompt to be parsed.
parser (lark.Lark): The parser to be used.
raise_parsing_error (bool): Whether to raise a parsing error.
Returns:
Tree: The parsed prompt.
"""
t1 = time.monotonic_ns()
parsed_prompt = None
try:
if self.debug_level == DEBUG_LEVEL.full:
self.logger.debug(self.format_output(f"Parsing {prompt_description}: '{prompt}'"))
parsed_prompt = parser.parse(prompt)
# we store the contents so we can use them later even if the meta position is not valid anymore
if isinstance(parsed_prompt, lark.Tree):
for n in parsed_prompt.iter_subtrees():
if isinstance(n, lark.Tree):
if n.meta.empty:
n.meta.content = ""
else:
n.meta.content = prompt[n.meta.start_pos : n.meta.end_pos]
except lark.exceptions.UnexpectedInput:
if raise_parsing_error:
raise
self.logger.exception(self.format_output(f"Parsing failed on prompt!: {prompt}"))
t2 = time.monotonic_ns()
if self.debug_level == DEBUG_LEVEL.full:
self.logger.debug(f"Parse {prompt_description} time: {(t2 - t1) / 1_000_000_000:.3f} seconds")
if parsed_prompt:
self.logger.debug(
"Tree:\n"
+ textwrap.indent(
re.sub(
r"\n$",
"",
parsed_prompt.pretty() if isinstance(parsed_prompt, lark.Tree) else parsed_prompt,
),
" ",
)
)
return parsed_prompt
class TreeProcessor(lark.visitors.Interpreter):
"""
A class for interpreting and processing a tree generated by the prompt parser.
Args:
ppp (PromptPostProcessor): The PromptPostProcessor object.
Attributes:
add_at (dict): The dictionary to store the content to be added at different positions of the negative prompt.
insertion_at (list): The list of insertion points in the negative prompt.
detectedWildcards (list): The list of detected invalid wildcards or choices.
result (str): The final processed prompt.
"""
def __init__(self, ppp: "PromptPostProcessor"):
super().__init__()
self.__ppp = ppp
self.AccumulatedShell = namedtuple("AccumulatedShell", ["type", "data"])
self.NegTag = namedtuple("NegTag", ["start", "end", "content", "parameters", "shell"])
self.__shell: list[self.AccumulatedShell] = [] # type: ignore
self.__negtags: list[self.NegTag] = [] # type: ignore
self.__already_processed: list[str] = []
self.__is_negative = False
self.__wildcard_filters = {}
self.add_at: dict = {"start": [], "insertion_point": [[] for x in range(10)], "end": []}
self.insertion_at: list[tuple[int, int]] = [None for x in range(10)]
self.detectedWildcards: list[str] = []
self.result = ""
def warn_or_stop(self, message: str, e: Exception = None):
if self.__ppp.gen_onwarning == self.__ppp.ONWARNING_CHOICES.stop:
raise PPPInterrupt(
message,
self.__ppp.INVALID_CONTENT_STOP.format(message) if not self.__is_negative else "",
self.__ppp.INVALID_CONTENT_STOP.format(message) if self.__is_negative else "",
) from e
self.__ppp.logger.warning(message)
def start_visit(self, prompt_description: str, parsed_prompt: lark.Tree, is_negative: bool = False) -> str:
"""
Start the visit process.
Args:
prompt_description (str): The description of the prompt.
parsed_prompt (Tree): The parsed prompt.
is_negative (bool): Whether the prompt is negative or not.
Returns:
str: The processed prompt.
"""
t1 = time.monotonic_ns()
self.__is_negative = is_negative
if self.__ppp.debug_level != DEBUG_LEVEL.none:
self.__ppp.logger.info(f"Processing {prompt_description}...")
self.visit(parsed_prompt)
t2 = time.monotonic_ns()
if self.__ppp.debug_level != DEBUG_LEVEL.none:
self.__ppp.logger.info(f"Process {prompt_description} time: {(t2 - t1) / 1_000_000_000:.3f} seconds")
return self.result
def __visit(
self,
node: lark.Tree | lark.Token | list[lark.Tree | lark.Token] | None,
restore_state: bool = False,
discard_content: bool = False,
) -> str:
"""
Visit a node in the tree and process it or accumulate its value if it is a Token.
Args:
node (Tree|Token|list): The node or list of nodes to visit.
restore_state (bool): Whether to restore the state after visiting the node.
discard_content (bool): Whether to discard the content of the node.
Returns:
str: The result of the visit.
"""
backup_result = self.result
if restore_state:
backup_shell = self.__shell.copy()
backup_negtags = self.__negtags.copy()
backup_already_processed = self.__already_processed.copy()
backup_add_at = self.add_at.copy()
backup_insertion_at = self.insertion_at.copy()
backup_detectedwildcards = self.detectedWildcards.copy()
if node is not None:
if isinstance(node, list):
for child in node:
self.__visit(child)
elif isinstance(node, lark.Tree):
self.visit(node)
elif isinstance(node, lark.Token):
self.result += node
len_backup = len(backup_result)
# if self.result[:len_backup] == backup_result: # this is only necessary if we call parse_prompt with a parser from "start", because it resets the result
added_result = self.result[len_backup:]
# else:
# added_result = self.result
if discard_content or restore_state:
self.result = backup_result
if restore_state:
self.__shell = backup_shell
self.__negtags = backup_negtags
self.__already_processed = backup_already_processed
self.add_at = backup_add_at
self.insertion_at = backup_insertion_at
self.detectedWildcards = backup_detectedwildcards
return added_result
def __get_original_node_content(self, node: lark.Tree | lark.Token, default=None) -> str:
"""
Get the original content of a node.
Args:
node (Tree|Token): The node to get the content from.
default: The default value to return if the content is not found.
Returns:
str: The original content of the node.
"""
return (
node.meta.content
if hasattr(node, "meta") and node.meta is not None and not node.meta.empty
else default
)
def __get_user_variable_value(self, name: str, evaluate=True, visit=False) -> str:
"""
Get the value of a user variable.
Args:
name (str): The name of the user variable.
evaluate (bool): Whether to evaluate the variable.
visit (bool): Whether to also visit the variable (add to result).
Returns:
str: The value of the user variable.
"""
v = self.__ppp.user_variables.get(name, None)
if v is not None:
visited = False
if isinstance(v, lark.Tree):
if evaluate:
v = self.__visit(v, not visit)
visited = visit
else:
v = self.__get_original_node_content(v, "not evaluated yet")
if visit and not visited:
self.result += v
return v
def get_final_user_variable(self, name: str) -> str:
return self.__get_user_variable_value(name, True, False)
def __set_user_variable_value(self, name: str, value: str):
"""
Set the value of a user variable.
Args:
name (str): The name of the user variable.
value (str): The value to be set.
"""
self.__ppp.user_variables[name] = value
def __remove_user_variable(self, name: str):
"""
Remove a user variable.
Args:
name (str): The name of the user variable.
"""
if name in self.__ppp.user_variables:
del self.__ppp.user_variables[name]
def __debug_end(self, construct: str, start_result: str, duration: int, info=None):
"""
Log the end of a construct processing.
Args:
construct (str): The name of the construct.
start_result (str): The initial result.
duration (int): The duration of the processing in ns.
info: Additional information to log.
"""
if self.__ppp.debug_level == DEBUG_LEVEL.full:
info = f"({info}) " if info is not None and info != "" else ""
output = self.result[len(start_result) :]
if output != "":
output = f" >> '{output}'"
self.__ppp.logger.debug(
self.__ppp.format_output(
f"TreeProcessor.{construct} {info}({duration / 1_000_000_000:.3f} seconds){output}"
)
)
def __eval_basiccondition(self, cond_var: str, cond_comp: str, cond_value: str | list[str]) -> bool:
"""
Evaluate a condition based on the given variable, comparison, and value.
Args:
cond_var (str): The variable to be compared.
cond_comp (str): The comparison operator.
cond_value (str or list[str]): The value to be compared with.
Returns:
bool: The result of the condition evaluation.
"""
if cond_var.lower() == "false":
var_value = "false"
elif cond_var.lower() == "true":
var_value = "true"
elif cond_var.startswith("_"): # system variable
var_value = self.__ppp.system_variables.get(cond_var, None)
if var_value is None:
var_value = ""
self.warn_or_stop(f"Unknown system variable {cond_var}")
else: # user variable
var_value = self.__get_user_variable_value(cond_var)
if var_value is None:
var_value = ""
self.warn_or_stop(f"Unknown user variable {cond_var}")
if isinstance(var_value, str):
var_value = var_value.lower()
if isinstance(cond_value, list):
comp_ops = {
"contains": lambda x, y: y in x,
"in": lambda x, y: x == y,
}
else:
cond_value = [cond_value]
comp_ops = {
"eq": lambda x, y: x == y,
"ne": lambda x, y: x != y,
"gt": lambda x, y: x > y,
"lt": lambda x, y: x < y,
"ge": lambda x, y: x >= y,
"le": lambda x, y: x <= y,
"contains": lambda x, y: y in x,
"truthy": lambda x, y: bool(x),
}
if cond_comp not in comp_ops:
return False
cond_value_adjusted = list(
(
c[1:-1].lower()
if c.startswith('"') or c.startswith("'")
else True if c.lower() == "true" else False if c.lower() == "false" or c == "" else int(c)
)
for c in cond_value
)
result = False
for c in cond_value_adjusted:
var_value_adjusted = (
var_value
if isinstance(c, str)
else (
True
if isinstance(c, bool) and var_value != "false" and var_value != "" and var_value is not False
else (
False
if isinstance(c, bool) and (var_value != "true" or var_value is False)
else int(var_value)
)
)
)
result = comp_ops[cond_comp](var_value_adjusted, c)
if result:
break
return result
def __eval_condition(self, condition: lark.Tree) -> bool:
"""
Evaluate an if condition based on the given condition tree.
Args:
condition (Node): The condition tree to be evaluated.
Returns:
bool: The result of the if condition evaluation.
"""
# self.__ppp.logger.debug(f"__eval_condition {condition.data}")
if condition.data == "operation_and":
cond_result = True
for c in condition.children:
cond_result = cond_result and self.__eval_condition(c)
if not cond_result:
break
elif condition.data == "operation_or":
cond_result = False
for c in condition.children:
cond_result = cond_result or self.__eval_condition(c)
if cond_result:
break
elif condition.data == "operation_not":
cond_result = not self.__eval_condition(condition.children[0])
else: # truthy_operand / comparison_simple_value / comparison_list_value
# we get the name of the variable
cond_var = condition.children[0].value # it should be a Token
poscomp = 1
invert = False
if poscomp >= len(condition.children):
# no condition, just a variable
cond_comp = "truthy"
cond_value = "true"
else:
# we get the comparison (with possible not) and the value
cond_comp = condition.children[poscomp].value # it should be a Token
if cond_comp == "not":
invert = not invert
poscomp += 1
cond_comp = condition.children[poscomp].value # it should be a Token
poscomp += 1
cond_value_node = condition.children[poscomp]
cond_value = (
list(v.value for v in cond_value_node.children)
if isinstance(cond_value_node, (lark.Tree, list))
else cond_value_node.value if isinstance(cond_value_node, lark.Token) else cond_value_node
)
cond_result = self.__eval_basiccondition(cond_var, cond_comp, cond_value)
if invert:
cond_result = not cond_result
return cond_result
def promptcomp(self, tree: lark.Tree):
"""
Process a prompt composition construct in the tree.
"""
# if self.__ppp.is_comfy_ui():
# self.__ppp.logger.warning("Prompt composition is not supported in ComfyUI.")
start_result = self.result
t1 = time.monotonic_ns()
self.__visit(tree.children[0])
if len(tree.children) > 1:
if tree.children[1] is not None:
self.result += f":{tree.children[1]}"
for i in range(2, len(tree.children), 3):
if self.__ppp.cup_ands:
self.result = re.sub(r"[, ]+$", "\n" if self.__ppp.cup_ands_eol else " ", self.result)
if self.result[-1:].isalnum(): # add space if needed
self.result += " "
self.result += "AND"
added_result = self.__visit(tree.children[i + 1], False, True)
if self.__ppp.cup_ands:
added_result = re.sub(r"^[, ]+", " ", added_result)
if added_result[0:1].isalnum(): # add space if needed
added_result = " " + added_result
self.result += added_result
if tree.children[i + 2] is not None:
self.result += f":{tree.children[i+2]}"
t2 = time.monotonic_ns()
self.__debug_end("promptcomp", start_result, t2 - t1)
def scheduled(self, tree: lark.Tree):
"""
Process a scheduling construct in the tree and add it to the accumulated shell.
"""
# if self.__ppp.is_comfy_ui():
# self.__ppp.logger.warning("Prompt scheduling is not supported in ComfyUI.")
start_result = self.result
t1 = time.monotonic_ns()
before = tree.children[0]
after = tree.children[-2]
pos_str = tree.children[-1]
pos = float(pos_str)
if pos >= 1:
pos = int(pos)
# self.__shell.append(self.AccumulatedShell("sc", pos))
self.result += "["
if before is not None:
if self.__ppp.debug_level == DEBUG_LEVEL.full:
self.__ppp.logger.debug(f"Shell scheduled before with position {pos}")
self.__shell.append(self.AccumulatedShell("scb", pos))
self.__visit(before)
self.__shell.pop()
if self.__ppp.debug_level == DEBUG_LEVEL.full:
self.__ppp.logger.debug(f"Shell scheduled after with position {pos}")
self.__shell.append(self.AccumulatedShell("sca", pos))
self.result += ":"
self.__visit(after)
self.__shell.pop()
if self.__ppp.cup_emptyconstructs and self.result == start_result + "[:":
self.result = start_result
else:
self.result += f":{pos_str}]"
# self.__shell.pop()
t2 = time.monotonic_ns()
self.__debug_end("scheduled", start_result, t2 - t1, pos_str)
def alternate(self, tree: lark.Tree):
"""
Process an alternation construct in the tree and add it to the accumulated shell.
"""
# if self.__ppp.is_comfy_ui():
# self.__ppp.logger.warning("Prompt alternation is not supported in ComfyUI.")
start_result = self.result
t1 = time.monotonic_ns()
# self.__shell.append(self.AccumulatedShell("al", len(tree.children)))
self.result += "["
for i, opt in enumerate(tree.children):
if self.__ppp.debug_level == DEBUG_LEVEL.full:
self.__ppp.logger.debug(f"Shell alternate option {i+1}")
self.__shell.append(self.AccumulatedShell("alo", {"pos": i + 1, "len": len(tree.children)}))
if i > 0:
self.result += "|"
self.__visit(opt)
self.__shell.pop()
self.result += "]"
if self.__ppp.cup_emptyconstructs and self.result == start_result + "[]":
self.result = start_result
# self.__shell.pop()
t2 = time.monotonic_ns()
self.__debug_end("alternate", start_result, t2 - t1)
def attention(self, tree: lark.Tree):
"""
Process a attention change construct in the tree and add it to the accumulated shell.
"""
start_result = self.result
t1 = time.monotonic_ns()
if len(tree.children) == 2:
weight_str = tree.children[-1]
if weight_str is not None:
weight_kind = 2 # specific weight
weight = float(weight_str)
else:
weight_kind = 1 # increase attention
weight = 1.1
weight_str = "1.1"
else:
weight_kind = 0 # decrease attention
weight = 0.9
weight_str = "0.9"
if self.__ppp.debug_level == DEBUG_LEVEL.full:
self.__ppp.logger.debug(f"Shell attention with weight {weight}")
current_tree = tree.children[0]
if self.__ppp.cup_mergeattention:
while isinstance(current_tree, lark.Tree) and current_tree.data == "attention":
# we merge the weights
if len(current_tree.children) == 2:
inner_weight = current_tree.children[-1]
if inner_weight is not None:
inner_weight = float(inner_weight)
else:
inner_weight = 1.1
else:
inner_weight = 0.9
weight *= inner_weight
current_tree = current_tree.children[0]
weight = math.floor(weight * 100) / 100 # we round to 2 decimals
weight_str = f"{weight:.2f}".rstrip("0").rstrip(".")
if weight_str == "0.9":
weight_kind = 0
elif weight_str == "1.1":
weight_kind = 1
else:
weight_kind = 2
if weight_kind == 0 and self.__ppp.is_comfy_ui():
weight_kind = 2
weight_str = "0.9"
self.__shell.append(self.AccumulatedShell("at", (weight_kind, weight_str)))
if weight_kind == 0:
starttag = "["
self.result += starttag
self.__visit(current_tree)
endtag = "]"
elif weight_kind == 1:
starttag = "("
self.result += starttag
self.__visit(current_tree)
endtag = ")"
else:
starttag = "("
self.result += starttag
self.__visit(current_tree)
endtag = f":{weight_str})"
if self.__ppp.cup_emptyconstructs and self.result == start_result + starttag:
self.result = start_result
else:
self.result += endtag
self.__shell.pop()
t2 = time.monotonic_ns()
self.__debug_end("attention", start_result, t2 - t1, weight_str)
def commandstn(self, tree: lark.Tree):
"""
Process a send to negative command in the tree and add it to the list of negative tags.
"""
start_result = self.result
info = None
t1 = time.monotonic_ns()
if not self.__is_negative:
negtagparameters = tree.children[0]
if negtagparameters is not None:
parameters = negtagparameters.value # should be a token
else:
parameters = ""
content = self.__visit(tree.children[1::], False, True)
self.__negtags.append(
self.NegTag(len(self.result), len(self.result), content, parameters, self.__shell.copy())
)
info = f"with {parameters or 'no parameters'} : {content}"
else:
self.warn_or_stop("Ignored negative command in negative prompt")
self.__visit(tree.children[1::])
t2 = time.monotonic_ns()
self.__debug_end("commandstn", start_result, t2 - t1, info)
def commandstni(self, tree: lark.Tree):
"""
Process a send to negative insertion point command in the tree and add it to the list of negative tags.
"""
start_result = self.result
info = None
t1 = time.monotonic_ns()
if self.__is_negative:
negtagparameters = tree.children[0]
if negtagparameters is not None:
parameters = negtagparameters.value # should be a token
else:
parameters = ""
self.__negtags.append(
self.NegTag(len(self.result), len(self.result), "", parameters, self.__shell.copy())
)
info = f"with {parameters or 'no parameters'}"
else:
self.warn_or_stop("Ignored negative insertion point command in positive prompt")
t2 = time.monotonic_ns()
self.__debug_end("commandstni", start_result, t2 - t1, info)
def __varset(
self,
command: str,
variable: str,
modifiers: lark.Tree | None,
content: lark.Tree | None,
):
"""
Process a generic set command in the tree.
"""
t1 = time.monotonic_ns()
start_result = self.result
if variable.startswith("_"):
self.warn_or_stop(f"Invalid variable name '{variable}' detected! System variables cannot be set.")
return
info = variable
value_description = self.__get_original_node_content(content, None)
value = content
modifiers_str: list[str] = [m.value for m in modifiers.children] if modifiers is not None else []
if any(item in modifiers_str for item in ["+", "add"]):
info += f" += '{value_description}'"
raw_oldvalue = self.__ppp.user_variables.get(variable, None)
if raw_oldvalue is None:
newvalue = value
self.warn_or_stop(f"Unknown variable {variable}")
elif isinstance(raw_oldvalue, str):
newvalue = lark.Tree(
lark.Token("RULE", "varvalue"),
[lark.Token("plain", raw_oldvalue), value],
# Meta should be {"content": raw_oldvalue + value},
)
else:
newvalue = lark.Tree(
lark.Token("RULE", "varvalue"),
[raw_oldvalue, value],
# Meta should be {"content": raw_oldvalue.meta.content + value.meta.content},
)
elif any(item in modifiers_str for item in ["?", "ifundefined"]):
info += f" ?= '{value_description}'"
raw_oldvalue = self.__ppp.user_variables.get(variable, None)
if raw_oldvalue is None:
newvalue = value
else:
info += " (not set)"
newvalue = None
else:
newvalue = value
if newvalue is not None:
if any(item in modifiers_str for item in ["!", "evaluate"]):
newvalue = self.__visit(newvalue, False, True)
info += " =! "
else:
info += " = "
self.__set_user_variable_value(variable, newvalue)
currentvalue = self.__get_user_variable_value(variable, False)
if currentvalue is None:
info += "not evaluated yet"
else:
info += f"'{currentvalue}'"
t2 = time.monotonic_ns()
self.__debug_end(command, start_result, t2 - t1, info)
def variableset(self, tree: lark.Tree):
"""
Process a DP set variable command in the tree and add it to the dictionary of variables.
"""
modifiers = tree.children[1] or lark.Tree(lark.Token("RULE", "variablesetmodifiers"), [])
immediate = tree.children[2]
if immediate is not None:
modifiers.children = modifiers.children.copy()
modifiers.children.append(immediate)
self.__varset("variableset", str(tree.children[0]), modifiers, tree.children[3])
def commandset(self, tree: lark.Tree):
"""
Process a set command in the tree and add it to the dictionary of variables.
"""
self.__varset("commandset", str(tree.children[0]), tree.children[1], tree.children[2])
def __varecho(self, command: str, variable: str, default: lark.Tree | None):
"""
Process a generic echo command in the tree.
"""
t1 = time.monotonic_ns()
start_result = self.result
if default is not None:
default_value = self.__visit(default, True) # for log
value = self.__get_user_variable_value(variable, True, True)
if value is None:
if default is not None:
v = self.__visit(default, False, True)
self.__ppp.echoed_variables[variable] = v
self.result += v
else:
self.warn_or_stop(f"Unknown variable {variable}")
t2 = time.monotonic_ns()
info = variable
if default is not None:
info += f" with default '{default_value}'"
self.__debug_end(command, start_result, t2 - t1, info)
def variableuse(self, tree: lark.Tree):
"""
Process a DP use variable command in the tree.
"""
self.__varecho("variableuse", str(tree.children[0]), tree.children[1])
def commandecho(self, tree: lark.Tree):
"""
Process an echo command in the tree.
"""
self.__varecho("commandecho", str(tree.children[0]), tree.children[1])
def commandif(self, tree: lark.Tree):
"""
Process an if command in the tree.
"""
t1 = time.monotonic_ns()
start_result = self.result
for i, n in enumerate(tree.children):
content = n.children[-1]
if len(n.children) == 2: # its not an else
# has a condition
condition = n.children[0]
c = self.__get_original_node_content(condition, f"condition {i}")
if self.__eval_condition(condition):
self.__visit(content)
t2 = time.monotonic_ns()
self.__debug_end("commandif", start_result, t2 - t1, c)
return
else: # its an else
self.__visit(content)
t2 = time.monotonic_ns()
self.__debug_end("commandif", start_result, t2 - t1, "else")
return
def commandext(self, tree: lark.Tree):
"""
Process an extranetwork command in the tree.
"""
t1 = time.monotonic_ns()
start_result = self.result
extnet = "(ignored)"
if not self.__ppp.rem_removeextranetworktags:
extnet_type: str = (tree.children[0].children[0] or "") + tree.children[0].children[1]
is_mapping = extnet_type.startswith("$")
if is_mapping:
extnet_type = extnet_type[1:]
extnet_id: str = tree.children[1].value
if extnet_id.startswith("'") or extnet_id.startswith('"'):
extnet_id = extnet_id[1:-1]
extnet_id = re.sub(r"\\(.)", r"\1", extnet_id) # so we can escape some special characters
parameters: str = ""
parameters_defaulted = False
if tree.children[2]:
parameters = tree.children[2].value
elif extnet_type in ("lora", "hypernet"):
parameters = "1"
parameters_defaulted = True
if parameters.startswith("'") or parameters.startswith('"'):
parameters = parameters[1:-1]
parameters_is_number = bool(re.match(r"^[-+]?\d*\.?\d+$", parameters or ""))
condition = tree.children[3]
if not condition or self.__eval_condition(condition):
extnet_id = f"{extnet_type}:{extnet_id}"
triggers = tree.children[4] if len(tree.children) > 4 else None
extra_triggers = None
compiled_extra_triggers = None
if is_mapping:
found_mappings: list[PPPENMappingVariant] = []
else_mapping = None
if self.__ppp.extranetwork_mappings_obj:
enmapping = self.__ppp.extranetwork_mappings_obj.extranetwork_mappings.get(extnet_id, None)
if enmapping:
for v in enmapping.variants:
if v.condition:
try:
cnd = self.__ppp.parse_prompt(
"condition", v.condition, self.__ppp.parser_condition, True
)
except lark.exceptions.UnexpectedInput as e:
self.warn_or_stop(
f"Error parsing condition '{v.condition}' in extranetwork mapping '{extnet_id}'! : {e.__class__.__name__}",
e,
)
cnd = None
else:
cnd = "True"
if cnd is not None and (cnd == "True" or self.__eval_condition(cnd)):
if v.condition:
found_mappings.append(v)
else:
else_mapping = v
if found_mappings:
found = found_mappings[
self.__ppp.rng.choice(
len(found_mappings),
p=[v.weight or 1 for v in found_mappings],
)
]
else:
found = else_mapping
if found:
if found.name:
if self.__ppp.debug_level != DEBUG_LEVEL.none:
self.__ppp.logger.info(
f"Mapping extranetwork '{extnet_id}' to '{extnet_type}:{found.name}'"
)
extnet_id = f"{extnet_type}:{found.name}"
f_parameters = found.parameters
if not f_parameters and extnet_type in ("lora", "hypernet"):
f_parameters = "1"
found_parameters_is_number = True
else:
found_parameters_is_number = f_parameters and bool(
re.match(r"^[-+]?\d*\.?\d+$", str(f_parameters) or "")
)
if found_parameters_is_number and parameters_is_number:
parameters = f"{float(f_parameters) * float(parameters):.2f}".rstrip("0").rstrip(
"."
)
elif f_parameters is not None and parameters_defaulted:
parameters = f_parameters
elif found.triggers:
self.__ppp.logger.info(f"Mapping extranetwork '{extnet_id}' to just triggers")
extnet_id = None
else:
self.__ppp.logger.info(f"Mapping extranetwork '{extnet_id}' to nothing")
extnet_id = None
if found.triggers:
extra_triggers = ", ".join(found.triggers)
try:
compiled_extra_triggers = self.__ppp.parse_prompt(
"triggers", extra_triggers, self.__ppp.parser_content, True
)
except lark.exceptions.UnexpectedInput as e:
self.warn_or_stop(
f"Error parsing triggers '{extra_triggers}' in extranetwork mapping '{extnet_id}'! : {e.__class__.__name__}",
e,
)
compiled_extra_triggers = None
else:
self.warn_or_stop(f"Extranetwork mapping '{extnet_id}' not found!")
if extnet_id:
extnet = f"<{extnet_id}:{parameters}>"
self.result += extnet
elif triggers or compiled_extra_triggers:
extnet = "(only triggers)"
if triggers or compiled_extra_triggers:
if extnet_id:
if not self.__ppp.cup_extranetworktags:
self.result += " "
else:
self.result += ", "
if triggers:
self.result += self.__visit(triggers, True, True)
if compiled_extra_triggers:
if triggers:
self.result += ", "
self.result += self.__visit(compiled_extra_triggers, True, True)
if triggers or compiled_extra_triggers:
self.result += ", "
t2 = time.monotonic_ns()
self.__debug_end("commandext", start_result, t2 - t1, extnet)
def extranetworktag(self, tree: lark.Tree):
"""
Process an extra network construct in the tree.
"""
t1 = time.monotonic_ns()
start_result = self.result
if not self.__ppp.rem_removeextranetworktags:
self.result += f"<{tree.children[0]}"
self.__visit(tree.children[1])
self.result += ">"
t2 = time.monotonic_ns()
self.__debug_end("extranetworktag", start_result, t2 - t1)
def __get_choices_internal(
self,
options: dict | None,
choice_values: list[dict],
filter_specifier: Optional[list[list[str]]] = None,
wildcard_key: str = None,
) -> tuple[str, list[str], str, str]:
"""
Select choices based on the options.
Args:
options (dict): The object representing the options construct.
choice_values (list[dict]): A list of choice objects.
filter_specifier (list[list[str]]): The filter specifier.
wildcard_key (str): The wildcard key if it is a wildcard.
Returns:
tuple: A tuple containing the prefix, selected choices, separator and suffix
"""
if options is None:
options = {}
sampler: str = options.get("sampler", "~")
repeating: bool = options.get("repeating", False)
optional: bool = options.get("optional", False)
if "count" in options:
from_value = options["count"]
to_value = from_value
else:
from_value: int = options.get("from", 1)
to_value: int = options.get("to", 1)
separator: str = options.get("separator", self.__ppp.wil_choice_separator)
msg_where = f"wildcard '{wildcard_key}'" if wildcard_key else "choices"
if sampler != "~":
self.warn_or_stop(f"Unsupported sampler '{sampler}' in {msg_where} options!")
sampler = "~"
if filter_specifier is not None:
filtered_choice_values = []
for i, c in enumerate(choice_values):
passes = False
for o in filter_specifier:
tmp_pass = True
for a in o:
if a.isdecimal():
if int(a) != i:
tmp_pass = False
break
elif a.lower() not in c.get("labels", []):
tmp_pass = False
break
if tmp_pass:
passes = True
break
if passes:
filtered_choice_values.append(c)
if not filtered_choice_values:
self.warn_or_stop(
f"Wildcard filter specifier '{','.join(['+'.join(y for y in x) for x in filter_specifier])}' found no matches in choices for wildcard '{wildcard_key}'!"
)
else:
filtered_choice_values = choice_values.copy()
available_choices: list[dict] = []
weights = []
included_choices = 0
excluded_choices = 0
excluded_weights_sum = 0
for i, c in enumerate(filtered_choice_values):
c["choice_index"] = i # we index them to later sort the results
weight = float(c.get("weight", 1.0))
condition = c.get("if", None)
if weight > 0 and (condition is None or self.__eval_condition(condition)):
available_choices.append(c)
weights.append(weight)
included_choices += 1
else:
weights.append(-1)
excluded_choices += 1
excluded_weights_sum += weight
if excluded_choices > 0: # we need to redistribute the excluded weights
weights = [weight + excluded_weights_sum / included_choices for weight in weights if weight >= 0]
weights = np.array(weights)
weights /= weights.sum() # normalize weights
if available_choices:
if from_value < 0:
from_value = 1
elif from_value > len(available_choices):
from_value = len(available_choices)
if to_value < 1:
to_value = 1
elif (to_value > len(available_choices) and not repeating) or from_value > to_value:
to_value = len(available_choices)
num_choices = (
self.__ppp.rng.integers(from_value, to_value, endpoint=True)
if from_value < to_value
else from_value
)
else:
num_choices = 0
if not optional and from_value > 0:
self.warn_or_stop(f"Not enough choices found for {msg_where}!")
if num_choices < 2:
repeating = False
if self.__ppp.debug_level == DEBUG_LEVEL.full:
self.__ppp.logger.debug(
self.__ppp.format_output(
f"Selecting {'optional ' if optional else ''}{'repeating ' if repeating else ''}{num_choices} choice"
+ ("s" if num_choices != 1 else "")
+ (f" and separating with '{separator}'" if num_choices > 1 else "")
)
)
if num_choices > 0:
selected_choices: list[dict] = (
list(self.__ppp.rng.choice(available_choices, size=num_choices, p=weights, replace=repeating))
if available_choices
else []
)
if self.__ppp.wil_keep_choices_order:
selected_choices = sorted(selected_choices, key=lambda x: x["choice_index"])
selected_choices_text = []
prefix: str = (
self.__visit(options.get("prefix", None), False, True)
if options.get("prefix", None) is not None
else ""
)
if prefix != "" and re.match(r"\w", prefix[-1]):
prefix += " "
for i, c in enumerate(selected_choices):
t1 = time.monotonic_ns()
choice_content_obj = c.get("content", c.get("text", None))
if isinstance(choice_content_obj, str):
choice_content = choice_content_obj
else:
choice_content = self.__visit(choice_content_obj, False, True)
t2 = time.monotonic_ns()
if self.__ppp.debug_level == DEBUG_LEVEL.full:
self.__ppp.logger.debug(
f"Adding choice {i+1} ({(t2-t1) / 1_000_000_000:.3f} seconds):\n"
+ textwrap.indent(re.sub(r"\n$", "", choice_content), " ")
)
selected_choices_text.append(choice_content)
suffix: str = (
self.__visit(options.get("suffix", None), False, True)
if options.get("suffix", None) is not None
else ""
)
if suffix != "" and re.match(r"\w", suffix[0]):
suffix = " " + suffix
# remove comments
results = [re.sub(r"\s*#[^\n]*(?:\n|$)", "", r, flags=re.DOTALL) for r in selected_choices_text]
return (prefix, results, separator, suffix)
return ("", [], separator, "")
def __get_choices(
self,
options: dict | None,
choice_values: list[dict],
filter_specifier: Optional[list[list[str]]] = None,
wildcard_key: str = None,
) -> str:
r = self.__get_choices_internal(options, choice_values, filter_specifier, wildcard_key)
if r[1]:
return r[0] + r[2].join(r[1]) + r[3]
return ""
def __convert_choices_options(self, options: Optional[lark.Tree]) -> dict:
"""
Convert the choices options to a dictionary.
Args:
options (Tree): The choices options tree.
Returns:
dict: The converted choices options.
"""
if options is None:
return None
options_dict = {}
if len(options.children) == 1:
options_dict["sampler"] = options.children[0] if options.children[0] is not None else "~"
else:
options_dict["sampler"] = options.children[0].children[0] if options.children[0] is not None else "~"
options_dict["repeating"] = (
"r" in options.children[1].children[0] if options.children[1] is not None else False
)
options_dict["optional"] = (
"o" in options.children[1].children[0] if options.children[1] is not None else False
)
if len(options.children) == 4:
ifrom = 2
ito = 2
isep = 3
else: # 6
ifrom = 2
ito = 3
isep = 4
options_dict["from"] = (
int(options.children[ifrom].children[0]) if options.children[ifrom] is not None else 1
)
options_dict["to"] = int(options.children[ito].children[0]) if options.children[ito] is not None else 1
options_dict["separator"] = (
self.__visit(options.children[isep], False, True)
if options.children[isep] is not None
else self.__ppp.wil_choice_separator
)
return options_dict
def __convert_choice(self, choice: lark.Tree) -> dict:
"""
Convert the choice to a dictionary.
Args:
choice (Tree): The choice tree.
Returns:
dict: The converted choice.
"""
choice_dict = {}
c_label_obj = choice.children[0]
choice_dict["labels"] = (
[x.value.lower() for x in c_label_obj.children[1:-1]] # should be a token
if c_label_obj is not None
else []
)
choice_dict["weight"] = float(choice.children[1].children[0]) if choice.children[1] is not None else 1.0
choice_dict["if"] = choice.children[2].children[0] if choice.children[2] is not None else None
choice_dict["content"] = choice.children[3]
return choice_dict
def __check_wildcard_initialization(self, wildcard: PPPWildcard):
"""
Initializes a wildcard if it hasn't been yet.
Args:
wildcard (PPPWildcard): The wildcard to check.
"""
choice_values = wildcard.choices
options = wildcard.options
if choice_values is None:
t1 = time.monotonic_ns()
choice_values = []
n = 0
# we check the first choice to see if it is actually options
if isinstance(wildcard.unprocessed_choices[0], dict):
if self.__ppp.wildcard_obj.is_dict_choices_options(wildcard.unprocessed_choices[0]):
options = wildcard.unprocessed_choices[0]
prefix = options.get("prefix", None)
if prefix is not None and isinstance(prefix, str):
try:
options["prefix"] = self.__ppp.parse_prompt(
"choicevalue", prefix, self.__ppp.parser_choicevalue, True
)
except lark.exceptions.UnexpectedInput as e:
self.warn_or_stop(
f"Error parsing choice prefix '{prefix}' in wildcard '{wildcard.key}'! : {e.__class__.__name__}",
e,
)
suffix = options.get("suffix", None)
if suffix is not None and isinstance(suffix, str):
try:
options["suffix"] = self.__ppp.parse_prompt(
"choicevalue", suffix, self.__ppp.parser_choicevalue, True
)
except lark.exceptions.UnexpectedInput as e:
self.warn_or_stop(
f"Error parsing choice suffix '{suffix}' in wildcard '{wildcard.key}'! : {e.__class__.__name__}",
e,
)
n = 1
else:
if wildcard.unprocessed_choices[0].endswith("$$"):
try:
options = self.__convert_choices_options(
self.__ppp.parse_prompt(
"as choices options",
wildcard.unprocessed_choices[0][:-2].strip(),
self.__ppp.parser_choicesoptions,
True,
)
)
n = 1
except lark.exceptions.UnexpectedInput:
options = None
if options is None and self.__ppp.debug_level == DEBUG_LEVEL.full:
self.__ppp.logger.debug("Does not have options")
wildcard.options = options
# we process the choices
for cv in wildcard.unprocessed_choices[n:]:
if isinstance(cv, dict):
if self.__ppp.wildcard_obj.is_dict_choice_options(cv):
condition = cv.get("if", None)
if condition is not None and isinstance(condition, str):
try:
cv["if"] = self.__ppp.parse_prompt(
"condition", condition, self.__ppp.parser_condition, True
)
except lark.exceptions.UnexpectedInput as e:
self.warn_or_stop(
f"Error parsing condition '{condition}' in wildcard '{wildcard.key}'! : {e.__class__.__name__}",
e,
)
cv["if"] = None
content = cv.get("content", cv.get("text", None))
cv["content"] = content
if "text" in cv:
del cv["text"]
if content is not None and isinstance(content, str):
try:
cv["content"] = self.__ppp.parse_prompt(
"choicevalue", content, self.__ppp.parser_choicevalue, True
)
except lark.exceptions.UnexpectedInput as e:
self.warn_or_stop(
f"Error parsing choice content '{content}' in wildcard '{wildcard.key}'! : {e.__class__.__name__}",
e,
)
cv["content"] = None
if cv["content"] is not None:
if self.__ppp.debug_level == DEBUG_LEVEL.full:
self.__ppp.logger.debug(f"Processed choice {cv}")
choice_values.append(cv)
else:
self.warn_or_stop(f"Invalid choice {cv} in wildcard '{wildcard.key}'!")
else:
self.warn_or_stop(f"Invalid choice {cv} in wildcard '{wildcard.key}'!")
else:
try:
choice_values.append(
self.__convert_choice(
self.__ppp.parse_prompt("choice", cv, self.__ppp.parser_choice, True)
)
)
except lark.exceptions.UnexpectedInput as e:
self.warn_or_stop(
f"Error parsing choice '{cv}' in wildcard '{wildcard.key}'! : {e.__class__.__name__}", e
)
wildcard.choices = choice_values
t2 = time.monotonic_ns()
if self.__ppp.debug_level == DEBUG_LEVEL.full:
self.__ppp.logger.debug(
f"Processed choices for wildcard '{wildcard.key}' ({(t2-t1) / 1_000_000_000:.3f} seconds)"
)
return (options, choice_values)
def wildcard(self, tree: lark.Tree):
"""
Process a wildcard construct in the tree.
"""
t1 = time.monotonic_ns()
start_result = self.result
applied_options = self.__convert_choices_options(tree.children[0])
wildcard_key: str = tree.children[1].value # should be a token
wc = self.__get_original_node_content(tree, f"?__{wildcard_key}__")
if self.__ppp.wil_process_wildcards:
if self.__ppp.debug_level == DEBUG_LEVEL.full:
self.__ppp.logger.debug(f"Processing wildcard: {wildcard_key}")
selected_wildcards = self.__ppp.wildcard_obj.get_wildcards(wildcard_key)
if not selected_wildcards:
self.detectedWildcards.append(wc)
self.result += wc
t2 = time.monotonic_ns()
self.__debug_end("wildcard", start_result, t2 - t1, wc)
return
filter_specifier: list[int | str] = None
filter_object = tree.children[2]
if filter_object is not None:
if (
isinstance(filter_object.children[1], lark.Token)
and filter_object.children[1] is not None
and "^" in filter_object.children[1]
):
filter_specifier = self.__wildcard_filters.get(filter_object.children[2].value, None)
if self.__ppp.debug_level == DEBUG_LEVEL.full:
self.__ppp.logger.debug("Filtering choices with inherited filter")
else:
filter_specifier = [[y.value for y in x.children] for x in filter_object.children[2].children]
if self.__ppp.debug_level == DEBUG_LEVEL.full:
self.__ppp.logger.debug("Filtering choices")
self.__wildcard_filters[wildcard_key] = filter_specifier
if (
filter_object.children[1] is not None and "#" in filter_object.children[1]
): # means do not use the filter in this wildcard
if self.__ppp.debug_level == DEBUG_LEVEL.full:
self.__ppp.logger.debug("Ignoring filter")
filter_specifier = None
if (
len(selected_wildcards) > 1
and filter_specifier is not None
and any(x.isdecimal() for x in filter_specifier)
):
self.__ppp.logger.warning(
f"Using a globbing wildcard '{wildcard_key}' with positional index filters is not recommended!"
)
var_object = tree.children[3]
variablename = None
variablebackup = None
if var_object is not None:
variablename = var_object.children[0] # should be a token
variablevalue = self.__visit(var_object.children[1], False, True)
variablebackup = self.__ppp.user_variables.get(variablename, None)
self.__remove_user_variable(variablename)
self.__set_user_variable_value(variablename, variablevalue)
choice_values_all = []
for wildcard in selected_wildcards:
if wildcard is None:
self.detectedWildcards.append(wc)
self.result += wc
t2 = time.monotonic_ns()
self.__debug_end("wildcard", start_result, t2 - t1, wc)
return
(options, choice_values) = self.__check_wildcard_initialization(wildcard)
if options is not None:
if applied_options is None:
applied_options = options
else:
if self.__ppp.debug_level == DEBUG_LEVEL.full:
self.__ppp.logger.debug(f"Options for wildcard '{wildcard.key}' are ignored!")
choice_values_all += choice_values
self.result += self.__get_choices(applied_options, choice_values_all, filter_specifier, wildcard_key)
if wildcard_key in self.__wildcard_filters:
del self.__wildcard_filters[wildcard_key]
if variablename is not None:
self.__remove_user_variable(variablename)
if variablebackup is not None:
self.__ppp.user_variables[variablename] = variablebackup
elif self.__ppp.wil_ifwildcards != self.__ppp.IFWILDCARDS_CHOICES.remove:
self.detectedWildcards.append(wc)
self.result += wc
t2 = time.monotonic_ns()
self.__debug_end("wildcard", start_result, t2 - t1, f"'{wc}'")
def choices(self, tree: lark.Tree):
"""
Process a choices construct in the tree.
"""
t1 = time.monotonic_ns()
start_result = self.result
options = self.__convert_choices_options(tree.children[0])
choice_values = [self.__convert_choice(c) for c in tree.children[1::]]
ch = self.__get_original_node_content(tree, "?{...}")
if self.__ppp.wil_process_wildcards:
if self.__ppp.debug_level == DEBUG_LEVEL.full:
self.__ppp.logger.debug("Processing choices:")
self.result += self.__get_choices(options, choice_values)
elif self.__ppp.wil_ifwildcards != self.__ppp.IFWILDCARDS_CHOICES.remove:
self.detectedWildcards.append(ch)
self.result += ch
t2 = time.monotonic_ns()
self.__debug_end("choices", start_result, t2 - t1, f"'{ch}'")
def __default__(self, tree):
t1 = time.monotonic_ns()
start_result = self.result
self.__visit(tree.children)
t2 = time.monotonic_ns()
self.__debug_end(tree.data.value, start_result, t2 - t1)
def start(self, tree):
self.result = ""
t1 = time.monotonic_ns()
self.__visit(tree.children)
# process the found negative tags
for negtag in self.__negtags:
if self.__ppp.cup_mergeattention:
# join consecutive attention elements
for i in range(len(negtag.shell) - 1, 0, -1):
if negtag.shell[i].type == "at" and negtag.shell[i - 1].type == "at":
new_weight = ( # we limit the new weight to two decimals
math.floor(100 * float(negtag.shell[i - 1].data[1]) * float(negtag.shell[i].data[1]))
/ 100
)
new_weight_str = f"{new_weight:.2f}".rstrip("0").rstrip(".")
if new_weight_str == "0.9" and not self.__ppp.is_comfy_ui():
new_kind = 0
elif new_weight_str == "1.1":
new_kind = 1
else:
new_kind = 2
negtag.shell[i - 1] = self.AccumulatedShell(
"at",
(new_kind, new_weight_str),
)
negtag.shell.pop(i)
start = ""
end = ""
for s in negtag.shell:
match s.type:
case "at":
if s.data[0] == 0:
start += "["
end = "]" + end
elif s.data[0] == 1:
start += "("
end = ")" + end
else:
start += "("
end = f":{s.data[1]})" + end
# case "sc":
case "scb":
start += "["
end = f"::{s.data}]" + end
case "sca":
start += "["
end = f":{s.data}]" + end
# case "al":
case "alo":
start += "[" + ("|" * int(s.data["pos"] - 1))
end = ("|" * int(s.data["len"] - s.data["pos"])) + "]" + end
content = start + negtag.content + end
position = negtag.parameters or "s"
if position.startswith("i"):
n = int(position[1])
self.insertion_at[n] = [negtag.start, negtag.end]
elif len(content) > 0:
if content not in self.__already_processed:
if self.__ppp.stn_ignore_repeats:
self.__already_processed.append(content)
if self.__ppp.debug_level == DEBUG_LEVEL.full:
self.__ppp.logger.debug(
self.__ppp.format_output(f"Adding content at position {position}: {content}")
)
if position == "e":
self.add_at["end"].append(content)
elif position.startswith("p"):
n = int(position[1])
self.add_at["insertion_point"][n].append(content)
else: # position == "s" or invalid
self.add_at["start"].append(content)
else:
self.__ppp.logger.warning(self.__ppp.format_output(f"Ignoring repeated content: {content}"))
t2 = time.monotonic_ns()
self.__debug_end("start", "", t2 - t1)
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