import datetime import random import secrets import requests import string import math import re from . import AnyType, any_typ #======文本输入 class SingleTextInput: @classmethod def INPUT_TYPES(cls): return { "required": { "text": ("STRING", {"default": "", "multiline": True}), } } RETURN_TYPES = ("STRING",) FUNCTION = "process_input" OUTPUT_NODE = False CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def process_input(self, text): return (text,) #======文本到列表 class TextToList: @classmethod def INPUT_TYPES(cls): return { "required": { "text": ("STRING", {"multiline": True, "default": ""}), "delimiter": ("STRING", {"default": ""}), } } RETURN_TYPES = ("STRING",) FUNCTION = "split_text" OUTPUT_IS_LIST = (True,) CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def split_text(self, text, delimiter): if not delimiter: parts = text.split('\n') else: parts = text.split(delimiter) parts = [part.strip() for part in parts if part.strip()] if not parts: return ([],) return (parts,) #======文本拼接 class TextConcatenator: @classmethod def INPUT_TYPES(cls): return { "required": { "text1": ("STRING", {"multiline": True, "default": ""}), "text2": ("STRING", {"multiline": True, "default": ""}), "text3": ("STRING", {"multiline": True, "default": ""}), "text4": ("STRING", {"multiline": True, "default": ""}), "combine_order": ("STRING", {"default": ""}), "separator": ("STRING", {"default": ","}) # 添加分隔符输入框，默认为逗号 }, } RETURN_TYPES = ("STRING",) FUNCTION = "combine_texts" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def combine_texts(self, text1, text2, text3, text4, combine_order, separator): try: text_map = { "1": text1, "2": text2, "3": text3, "4": text4 } if not combine_order: combine_order = "1+2+3+4" parts = combine_order.split("+") valid_parts = [] for part in parts: if part in text_map: valid_parts.append(part) else: return (f"Error: Invalid input '{part}' in combine_order. Valid options are 1, 2, 3, 4.",) non_empty_texts = [text_map[part] for part in valid_parts if text_map[part]] # 特殊处理换行符 if separator == '\\n': separator = '\n' result = separator.join(non_empty_texts) # 使用自定义分隔符 return (result,) except Exception as e: return (f"Error: {str(e)}",) #======多参数输入 class MultiParamInputNode: @classmethod def INPUT_TYPES(cls): return { "required": { "text1": ("STRING", {"default": "", "multiline": True}), # 第一个多行文本输入框 "text2": ("STRING", {"default": "", "multiline": True}), # 第二个多行文本输入框 "int1": ("INT", {"default": 0, "min": -1000000, "max": 1000000}), # 第一个整数输入框 "int2": ("INT", {"default": 0, "min": -1000000, "max": 1000000}), # 第二个整数输入框 } } RETURN_TYPES = ("STRING", "STRING", "INT", "INT") # 返回两个字符串和两个整数 FUNCTION = "process_inputs" OUTPUT_NODE = False CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def process_inputs(self, text1, text2, int1, int2): return (text1, text2, int1, int2) #======整数参数 class NumberExtractor: @classmethod def INPUT_TYPES(cls): return { "required": { "int1": ("INT", {"default": 0, "min": -1000000, "max": 1000000}), # 第一个整数输入框 "int2": ("INT", {"default": 0, "min": -1000000, "max": 1000000}), # 第二个整数输入框 } } RETURN_TYPES = ("INT", "INT") # 返回两个整数 FUNCTION = "process_inputs" OUTPUT_NODE = False CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def process_inputs(self, int1, int2): return (int1, int2) #======添加前后缀 class AddPrefixSuffix: def __init__(self): pass @classmethod def INPUT_TYPES(cls): return { "required": { "input_string": ("STRING", {"default": ""}), "prefix": ("STRING", {"default": "前缀符"}), "suffix": ("STRING", {"default": "后缀符"}), }, "optional": {}, } RETURN_TYPES = ("STRING",) FUNCTION = "add_prefix_suffix" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def add_prefix_suffix(self, input_string, prefix, suffix): return (f"{prefix}{input_string}{suffix}",) #======提取标签之间 class ExtractSubstring: def __init__(self): pass @classmethod def INPUT_TYPES(cls): return { "required": { "input_string": ("STRING", {"multiline": True, "default": ""}), "pattern": ("STRING", {"default": "标签始|标签尾"}), }, "optional": {}, } RETURN_TYPES = ("STRING",) FUNCTION = "extract_substring" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def extract_substring(self, input_string, pattern): try: parts = pattern.split('|') start_str = parts[0] end_str = parts[1] if len(parts) > 1 and parts[1].strip() else "\n" start_index = input_string.index(start_str) + len(start_str) end_index = input_string.find(end_str, start_index) if end_index == -1: end_index = input_string.find("\n", start_index) if end_index == -1: end_index = len(input_string) extracted = input_string[start_index:end_index] lines = extracted.splitlines() non_empty_lines = [line for line in lines if line.strip()] result = '\n'.join(non_empty_lines) return (result,) except ValueError: return ("",) #======按数字范围提取 class ExtractSubstringByIndices: def __init__(self): pass @classmethod def INPUT_TYPES(cls): return { "required": { "input_string": ("STRING", {"default": ""}), "indices": ("STRING", {"default": "2-6"}), "direction": (["从前面", "从后面"], {"default": "从前面"}), }, "optional": {}, } RETURN_TYPES = ("STRING",) FUNCTION = "extract_substring_by_indices" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def extract_substring_by_indices(self, input_string, indices, direction): try: if '-' in indices: start_index, end_index = map(int, indices.split('-')) else: start_index = end_index = int(indices) start_index -= 1 end_index -= 1 if start_index < 0 or start_index >= len(input_string): return ("",) if end_index < 0 or end_index >= len(input_string): end_index = len(input_string) - 1 if start_index > end_index: start_index, end_index = end_index, start_index if direction == "从前面": return (input_string[start_index:end_index + 1],) elif direction == "从后面": start_index = len(input_string) - start_index - 1 end_index = len(input_string) - end_index - 1 if start_index > end_index: start_index, end_index = end_index, start_index return (input_string[start_index:end_index + 1],) except ValueError: return ("",) #======分隔符拆分两边 class SplitStringByDelimiter: def __init__(self): pass @classmethod def INPUT_TYPES(cls): return { "required": { "input_string": ("STRING", {"default": "文本|内容"}), "delimiter": ("STRING", {"default": "|"}), }, "optional": {}, } RETURN_TYPES = ("STRING", "STRING") FUNCTION = "split_string_by_delimiter" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def split_string_by_delimiter(self, input_string, delimiter): parts = input_string.split(delimiter, 1) if len(parts) == 2: return (parts[0], parts[1]) else: return (input_string, "") #======常规处理字符 class ProcessString: def __init__(self): pass @classmethod def INPUT_TYPES(cls): return { "required": { "input_string": ("STRING", {"multiline": True, "default": ""}), "option": (["不改变", "取数字", "取字母", "转大写", "转小写", "取中文", "去标点", "去换行", "去空行", "去空格", "去格式", "统计字数"], {"default": "不改变"}), }, "optional": {}, } RETURN_TYPES = ("STRING",) FUNCTION = "process_string" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def process_string(self, input_string, option): if option == "取数字": result = ''.join(re.findall(r'\d', input_string)) elif option == "取字母": result = ''.join(filter(lambda char: char.isalpha() and not self.is_chinese(char), input_string)) elif option == "转大写": result = input_string.upper() elif option == "转小写": result = input_string.lower() elif option == "取中文": result = ''.join(filter(self.is_chinese, input_string)) elif option == "去标点": result = re.sub(r'[^\w\s\u4e00-\u9fff]', '', input_string) elif option == "去换行": result = input_string.replace('\n', '') elif option == "去空行": result = '\n'.join(filter(lambda line: line.strip(), input_string.splitlines())) elif option == "去空格": result = input_string.replace(' ', '') elif option == "去格式": result = re.sub(r'\s+', '', input_string) elif option == "统计字数": result = str(len(input_string)) else: result = input_string return (result,) @staticmethod def is_chinese(char): return '\u4e00' <= char <= '\u9fff' #======提取前后字符 class ExtractBeforeAfter: def __init__(self): pass @classmethod def INPUT_TYPES(cls): return { "required": { "input_string": ("STRING", {"default": ""}), "pattern": ("STRING", {"default": "标签符"}), "position": (["保留最初之前", "保留最初之后", "保留最后之前", "保留最后之后"], {"default": "保留最初之前"}), "include_delimiter": ("BOOLEAN", {"default": False}), }, "optional": {}, } RETURN_TYPES = ("STRING",) FUNCTION = "extract_before_after" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def extract_before_after(self, input_string, pattern, position, include_delimiter): if position == "保留最初之前": index = input_string.find(pattern) if index != -1: result = input_string[:index + len(pattern) if include_delimiter else index] return (result,) elif position == "保留最初之后": index = input_string.find(pattern) if index != -1: result = input_string[index:] if include_delimiter else input_string[index + len(pattern):] return (result,) elif position == "保留最后之前": index = input_string.rfind(pattern) if index != -1: result = input_string[:index + len(pattern) if include_delimiter else index] return (result,) elif position == "保留最后之后": index = input_string.rfind(pattern) if index != -1: result = input_string[index:] if include_delimiter else input_string[index + len(pattern):] return (result,) return ("",) #======简易文本替换 class SimpleTextReplacer: @classmethod def INPUT_TYPES(cls): return { "required": { "input_string": ("STRING", {"multiline": True, "default": "", "forceInput": True}), "find_text": ("STRING", {"default": ""}), "replace_text": ("STRING", {"default": ""}) }, } RETURN_TYPES = ("STRING",) FUNCTION = "replace_text" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def replace_text(self, input_string, find_text, replace_text): try: # 如果find_text为空，则不进行替换 if not find_text: return (input_string,) # 如果replace_text是\n，则替换成换行符 if replace_text == '\\n': replace_text = '\n' result = input_string.replace(find_text, replace_text) return (result,) except Exception as e: return (f"Error: {str(e)}",) #======替换第n次出现 class ReplaceNthOccurrence: def __init__(self): pass @classmethod def INPUT_TYPES(cls): return { "required": { "original_text": ("STRING", {"multiline": True, "default": ""}), "occurrence": ("INT", {"default": 1, "min": 0}), "search_str": ("STRING", {"default": "替换前字符"}), "replace_str": ("STRING", {"default": "替换后字符"}), }, "optional": {}, } RETURN_TYPES = ("STRING",) FUNCTION = "replace_nth_occurrence" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def replace_nth_occurrence(self, original_text, occurrence, search_str, replace_str): if occurrence == 0: result = original_text.replace(search_str, replace_str) else: def replace_nth_match(match): nonlocal occurrence occurrence -= 1 return replace_str if occurrence == 0 else match.group(0) result = re.sub(re.escape(search_str), replace_nth_match, original_text, count=occurrence) return (result,) #======多次出现依次替换 class ReplaceMultiple: def __init__(self): pass @classmethod def INPUT_TYPES(cls): return { "required": { "original_text": ("STRING", {"multiline": True, "default": ""}), "replacement_rule": ("STRING", {"default": ""}), }, "optional": {}, } RETURN_TYPES = ("STRING",) FUNCTION = "replace_multiple" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def replace_multiple(self, original_text, replacement_rule): try: search_str, replacements = replacement_rule.split('|') replacements = [rep for rep in replacements.split(',') if rep] def replace_match(match): nonlocal replacements if replacements: return replacements.pop(0) return match.group(0) result = re.sub(re.escape(search_str), replace_match, original_text) return (result,) except ValueError: return ("",) #======批量替换字符 class BatchReplaceStrings: def __init__(self): pass @classmethod def INPUT_TYPES(cls): return { "required": { "original_text": ("STRING", {"multiline": False, "default": "文本内容"}), "replacement_rules": ("STRING", {"multiline": True, "default": ""}), }, "optional": {}, } RETURN_TYPES = ("STRING",) FUNCTION = "batch_replace_strings" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def batch_replace_strings(self, original_text, replacement_rules): rules = replacement_rules.strip().split('\n') for rule in rules: if '|' in rule: search_strs, replace_str = rule.split('|', 1) search_strs = search_strs.replace("\\n", "\n") replace_str = replace_str.replace("\\n", "\n") search_strs = search_strs.split(',') for search_str in search_strs: original_text = original_text.replace(search_str, replace_str) return (original_text,) #======随机行内容 class RandomLineFromText: def __init__(self): pass @classmethod def INPUT_TYPES(cls): return { "required": { "input_text": ("STRING", {"multiline": True, "default": ""}), }, "optional": {"any": (any_typ,)} } RETURN_TYPES = ("STRING",) FUNCTION = "get_random_line" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def IS_CHANGED(): return float("NaN") def get_random_line(self, input_text, any=None): lines = input_text.strip().splitlines() if not lines: return ("",) return (random.choice(lines),) #======判断是否包含字符 class CheckSubstringPresence: def __init__(self): pass @classmethod def INPUT_TYPES(cls): return { "required": { "input_text": ("STRING", {"default": "文本内容"}), "substring": ("STRING", {"default": "查找符1|查找符2"}), "mode": (["同时满足", "任意满足"], {"default": "任意满足"}), }, "optional": {}, } RETURN_TYPES = ("INT",) FUNCTION = "check_substring_presence" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def check_substring_presence(self, input_text, substring, mode): substrings = substring.split('|') if mode == "同时满足": for sub in substrings: if sub not in input_text: return (0,) return (1,) elif mode == "任意满足": for sub in substrings: if sub in input_text: return (1,) return (0,) #======段落每行添加前后缀 class AddPrefixSuffixToLines: def __init__(self): pass @classmethod def INPUT_TYPES(cls): return { "required": { "input_text": ("STRING", {"multiline": True, "default": ""}), "prefix_suffix": ("STRING", {"default": "前缀符|后缀符"}), }, "optional": {}, } RETURN_TYPES = ("STRING",) FUNCTION = "add_prefix_suffix_to_lines" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def add_prefix_suffix_to_lines(self, prefix_suffix, input_text): try: prefix, suffix = prefix_suffix.split('|') lines = input_text.splitlines() modified_lines = [f"{prefix}{line}{suffix}" for line in lines] result = '\n'.join(modified_lines) return (result,) except ValueError: return ("",) #======段落提取指定索引行 class ExtractAndCombineLines: def __init__(self): pass @classmethod def INPUT_TYPES(cls): return { "required": { "input_text": ("STRING", {"multiline": True, "default": ""}), "line_indices": ("STRING", {"default": "2-3"}), }, "optional": {}, } RETURN_TYPES = ("STRING",) FUNCTION = "extract_and_combine_lines" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def extract_and_combine_lines(self, input_text, line_indices): try: lines = input_text.splitlines() result_lines = [] if '-' in line_indices: start, end = map(int, line_indices.split('-')) start = max(1, start) end = min(len(lines), end) result_lines = lines[start - 1:end] else: indices = map(int, line_indices.split('|')) for index in indices: if 1 <= index <= len(lines): result_lines.append(lines[index - 1]) result = '\n'.join(result_lines) return (result,) except ValueError: return ("",) #======段落提取或移除字符行 class FilterLinesBySubstrings: def __init__(self): pass @classmethod def INPUT_TYPES(cls): return { "required": { "input_text": ("STRING", {"multiline": True, "default": ""}), "substrings": ("STRING", {"default": "查找符1|查找符2"}), "action": (["保留", "移除"], {"default": "保留"}), }, "optional": {}, } RETURN_TYPES = ("STRING",) FUNCTION = "filter_lines_by_substrings" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def filter_lines_by_substrings(self, input_text, substrings, action): lines = input_text.splitlines() substring_list = substrings.split('|') result_lines = [] for line in lines: contains_substring = any(substring in line for substring in substring_list) if (action == "保留" and contains_substring) or (action == "移除" and not contains_substring): result_lines.append(line) non_empty_lines = [line for line in result_lines if line.strip()] result = '\n'.join(non_empty_lines) return (result,) #======根据字数范围过滤文本行 class FilterLinesByWordCount: def __init__(self): pass @classmethod def INPUT_TYPES(cls): return { "required": { "input_text": ("STRING", {"multiline": True, "default": ""}), "word_count_range": ("STRING", {"default": "2-10"}), }, "optional": {}, } RETURN_TYPES = ("STRING",) FUNCTION = "filter_lines_by_word_count" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def filter_lines_by_word_count(self, input_text, word_count_range): try: lines = input_text.splitlines() result_lines = [] if '-' in word_count_range: min_count, max_count = map(int, word_count_range.split('-')) result_lines = [line for line in lines if min_count <= len(line) <= max_count] result = '\n'.join(result_lines) return (result,) except ValueError: return ("",) #======按序号提取分割文本 class SplitAndExtractText: def __init__(self): pass @classmethod def INPUT_TYPES(cls): return { "required": { "input_text": ("STRING", {"multiline": True, "default": ""}), "delimiter": ("STRING", {"default": "分隔符"}), "index": ("INT", {"default": 1, "min": 1}), "order": (["顺序", "倒序"], {"default": "顺序"}), "include_delimiter": ("BOOLEAN", {"default": False}), }, "optional": {}, } RETURN_TYPES = ("STRING",) FUNCTION = "split_and_extract" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def split_and_extract(self, input_text, delimiter, index, order, include_delimiter): try: if not delimiter: parts = input_text.splitlines() else: parts = input_text.split(delimiter) if order == "倒序": parts = parts[::-1] if index > 0 and index <= len(parts): selected_part = parts[index - 1] if include_delimiter and delimiter: if order == "顺序": if index > 1: selected_part = delimiter + selected_part if index < len(parts): selected_part += delimiter elif order == "倒序": if index > 1: selected_part += delimiter if index < len(parts): selected_part = delimiter + selected_part lines = selected_part.splitlines() non_empty_lines = [line for line in lines if line.strip()] result = '\n'.join(non_empty_lines) return (result,) else: return ("",) except ValueError: return ("",) #======文本出现次数 class CountOccurrences: def __init__(self): pass @classmethod def INPUT_TYPES(cls): return { "required": { "input_text": ("STRING", {"multiline": True, "default": ""}), "char": ("STRING", {"default": "查找符"}), }, "optional": {}, } RETURN_TYPES = ("INT", "STRING") FUNCTION = "count_text_segments" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def count_text_segments(self, input_text, char): try: if char == "\\n": lines = [line for line in input_text.splitlines() if line.strip()] count = len(lines) else: count = input_text.count(char) return (count, str(count)) except ValueError: return (0, "0") #======文本拆分：根据索引和特定字符获取多行文本中的行内容 class ExtractLinesByIndex: def __init__(self): pass @classmethod def INPUT_TYPES(cls): return { "required": { "input_text": ("STRING", {"multiline": True, "default": ""}), "delimiter": ("STRING", {"default": "标签符"}), "index": ("INT", {"default": 1, "min": 1}), }, "optional": {}, } RETURN_TYPES = ("STRING", "STRING", "STRING", "STRING", "STRING") FUNCTION = "extract_lines_by_index" OUTPUT_TYPES = ("STRING", "STRING", "STRING", "STRING", "STRING") OUTPUT_NAMES = ("文本1", "文本2", "文本3", "文本4", "文本5") CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def extract_lines_by_index(self, input_text, index, delimiter): try: if delimiter == "" or delimiter == "\n": lines = input_text.splitlines() else: lines = input_text.split(delimiter) result_lines = [] for i in range(index - 1, index + 4): if 0 <= i < len(lines): result_lines.append(lines[i]) else: result_lines.append("") return tuple(result_lines) except ValueError: return ("", "", "", "", "") #======提取特定行 class ExtractSpecificLines: def __init__(self): pass @classmethod def INPUT_TYPES(cls): return { "required": { "input_text": ("STRING", {"multiline": True, "default": ""}), "line_indices": ("STRING", {"default": "1|2"}), "split_char": ("STRING", {"default": "\n"}), }, "optional": {}, } RETURN_TYPES = ("STRING", "STRING", "STRING", "STRING", "STRING", "STRING") FUNCTION = "extract_specific_lines" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def extract_specific_lines(self, input_text, line_indices, split_char): if not split_char or split_char == "\n": lines = input_text.split('\n') else: lines = input_text.split(split_char) indices = [int(index) - 1 for index in line_indices.split('|') if index.isdigit()] results = [] for index in indices: if 0 <= index < len(lines): results.append(lines[index]) else: results.append("") while len(results) < 5: results.append("") non_empty_results = [result for result in results[:5] if result.strip()] if not split_char or split_char == "\n": combined_result = '\n'.join(non_empty_results) else: combined_result = split_char.join(non_empty_results) return tuple(results[:5] + [combined_result]) #======删除标签内的内容 class RemoveContentBetweenChars: def __init__(self): pass @classmethod def INPUT_TYPES(cls): return { "required": { "input_text": ("STRING", {"multiline": True, "default": ""}), "chars": ("STRING", {"default": "(|)"}), }, "optional": {}, } RETURN_TYPES = ("STRING",) FUNCTION = "remove_content_between_chars" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def remove_content_between_chars(self, input_text, chars): try: if len(chars) == 3 and chars[1] == '|': start_char, end_char = chars[0], chars[2] else: return input_text pattern = re.escape(start_char) + '.*?' + re.escape(end_char) result = re.sub(pattern, '', input_text) return (result,) except ValueError: return ("",) #======随机打乱 class ShuffleTextLines: def __init__(self): pass @classmethod def INPUT_TYPES(cls): return { "required": { "input_text": ("STRING", {"multiline": True, "default": ""}), "delimiter": ("STRING", {"default": "分隔符"}), }, "optional": {"any": (any_typ,)} } RETURN_TYPES = ("STRING",) FUNCTION = "shuffle_text_lines" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def IS_CHANGED(): return float("NaN") def shuffle_text_lines(self, input_text, delimiter, any=None): if delimiter == "": lines = input_text.splitlines() elif delimiter == "\n": lines = input_text.split("\n") else: lines = input_text.split(delimiter) lines = [line for line in lines if line.strip()] random.shuffle(lines) if delimiter == "": result = "\n".join(lines) elif delimiter == "\n": result = "\n".join(lines) else: result = delimiter.join(lines) return (result,) #======判断返回内容 class ConditionalTextOutput: def __init__(self): pass @classmethod def INPUT_TYPES(cls): return { "required": { "original_content": ("STRING", {"multiline": True, "default": ""}), "check_text": ("STRING", {"default": "查找字符"}), "text_if_exists": ("STRING", {"default": "存在返回内容"}), "text_if_not_exists": ("STRING", {"default": "不存在返回内容"}), }, "optional": {}, } RETURN_TYPES = ("STRING",) FUNCTION = "conditional_text_output" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def conditional_text_output(self, original_content, check_text, text_if_exists, text_if_not_exists): if not check_text: return ("",) if check_text in original_content: return (text_if_exists,) else: return (text_if_not_exists,) #======文本按条件判断 class TextConditionCheck: def __init__(self): pass @classmethod def INPUT_TYPES(cls): return { "required": { "original_content": ("STRING", {"multiline": True, "default": ""}), # 输入多行文本 "length_condition": ("STRING", {"default": "3-6"}), "frequency_condition": ("STRING", {"default": ""}), }, "optional": {}, } RETURN_TYPES = ("INT", "STRING") FUNCTION = "text_condition_check" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def text_condition_check(self, original_content, length_condition, frequency_condition): length_valid = self.check_length_condition(original_content, length_condition) frequency_valid = self.check_frequency_condition(original_content, frequency_condition) if length_valid and frequency_valid: return (1, "1") else: return (0, "0") def check_length_condition(self, content, condition): if '-' in condition: start, end = map(int, condition.split('-')) return start <= len(content) <= end else: target_length = int(condition) return len(content) == target_length def check_frequency_condition(self, content, condition): conditions = condition.split('|') for cond in conditions: char, count = cond.split(',') if content.count(char) != int(count): return False return True #======文本组合 class TextConcatenation: def __init__(self): pass @classmethod def INPUT_TYPES(cls): return { "required": { "original_text": ("STRING", {"multiline": True, "default": ""}), "concatenation_rules": ("STRING", {"multiline": True, "default": ""}), "split_char": ("STRING", {"default": ""}), }, "optional": {}, } RETURN_TYPES = ("STRING", "STRING", "STRING", "STRING", "STRING") FUNCTION = "text_concatenation" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def text_concatenation(self, original_text, concatenation_rules, split_char): if split_char: original_lines = [line.strip() for line in original_text.split(split_char) if line.strip()] else: original_lines = [line.strip() for line in original_text.split('\n') if line.strip()] rules_lines = [line.strip() for line in concatenation_rules.split('\n') if line.strip()] outputs = [] for rule in rules_lines[:5]: result = rule for i, line in enumerate(original_lines, start=1): result = result.replace(f"[{i}]", line) outputs.append(result) while len(outputs) < 5: outputs.append("") return tuple(outputs) #======提取多层指定数据 class ExtractSpecificData: def __init__(self): pass @classmethod def INPUT_TYPES(cls): return { "required": { "input_text": ("STRING", {"multiline": True, "default": ""}), "rule1": ("STRING", {"default": "[3],@|2"}), "rule2": ("STRING", {"default": "三,【|】"}), }, "optional": {}, } RETURN_TYPES = ("STRING",) FUNCTION = "extract_specific_data" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def extract_specific_data(self, input_text, rule1, rule2): if rule1.strip(): return self.extract_by_rule1(input_text, rule1) else: return self.extract_by_rule2(input_text, rule2) def extract_by_rule1(self, input_text, rule): try: line_rule, split_rule = rule.split(',') split_char, group_index = split_rule.split('|') group_index = int(group_index) - 1 except ValueError: return ("",) lines = input_text.split('\n') if line_rule.startswith('[') and line_rule.endswith(']'): try: line_index = int(line_rule[1:-1]) - 1 if 0 <= line_index < len(lines): target_line = lines[line_index] else: return ("",) except ValueError: return ("",) else: target_lines = [line for line in lines if line_rule in line] if not target_lines: return ("",) target_line = target_lines[0] parts = target_line.split(split_char) if 0 <= group_index < len(parts): return (parts[group_index],) return ("",) def extract_by_rule2(self, input_text, rule): try: line_rule, tags = rule.split(',') start_tag, end_tag = tags.split('|') except ValueError: return ("",) lines = input_text.split('\n') if line_rule.startswith('[') and line_rule.endswith(']'): try: line_index = int(line_rule[1:-1]) - 1 if 0 <= line_index < len(lines): target_line = lines[line_index] else: return ("",) except ValueError: return ("",) else: target_lines = [line for line in lines if line_rule in line] if not target_lines: return ("",) target_line = target_lines[0] start_index = target_line.find(start_tag) end_index = target_line.find(end_tag, start_index) if start_index != -1 and end_index != -1: return (target_line[start_index + len(start_tag):end_index],) return ("",) #======指定字符行参数 class FindFirstLineContent: def __init__(self): pass @classmethod def INPUT_TYPES(cls): return { "required": { "input_text": ("STRING", {"multiline": True, "default": ""}), "target_char": ("STRING", {"default": "数据a"}), }, "optional": {}, } RETURN_TYPES = ("STRING",) FUNCTION = "find_first_line_content" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def find_first_line_content(self, input_text, target_char): try: lines = input_text.splitlines() for line in lines: if target_char in line: start_index = line.index(target_char) result = line[start_index + len(target_char):] return (result,) return ("",) except Exception as e: return (f"Error: {str(e)}",) #======视频指令词模板 class GenerateVideoPrompt: def __init__(self): pass @classmethod def INPUT_TYPES(cls): return { "required": { "input_text": ("STRING", {"multiline": True, "default": ""}), "mode": (["原文本", "文生视频", "图生视频", "首尾帧视频", "视频负面词"],) }, "optional": {} } RETURN_TYPES = ("STRING",) FUNCTION = "generate_prompt" CATEGORY = "Meeeyo/String" DESCRIPTION = "如需更多帮助或商务需求(For tech and business support)+VX/WeChat: meeeyo" def IS_CHANGED(): return float("NaN") def generate_prompt(self, input_text, mode): try: if mode == "原文本": return (input_text,) elif mode == "文生视频": prefix = """You are a highly experienced cinematic director, skilled in creating detailed and engaging visual narratives. When crafting prompts for text-to-video generation based on user input, your goal is to provide precise, chronological descriptions that guide the generation process. Your prompt should focus on clear visual details, including specific movements, appearances, camera angles, and environmental context. - Main Action: Start with a clear, concise description of the core action or event in the scene. This should be the focal point of the video. - Movement and Gestures: Describe any movements or gestures in the scene, whether from characters, objects, or the environment. Include specifics about how these movements are executed. - Appearance of Characters or Objects: Provide detailed descriptions of any characters or objects, focusing on aspects such as their physical appearance, clothing, and visual characteristics. - Background and Environment: Elaborate on the surrounding environment, highlighting important visual elements such as landscape features, architecture, or significant objects. These should support the action and enrich the scene. - Camera Angles and Movements: Specify the camera perspective (e.g., wide shot, close-up) and any movements (e.g., tracking, zooming, panning). - Lighting and Colors: Detail the lighting setup—whether natural, artificial, or dramatic—and how it impacts the scene’s atmosphere. Describe color tones that contribute to the mood. - Sudden Changes or Events: If any major shifts occur during the scene (e.g., a lighting change, weather shift, or emotional change), describe these transitions in detail. By structuring your prompt in this way, you ensure that the video output will be both engaging and professionally aligned with the user’s intended vision. The description should remain within the 200-word limit while maintaining a smooth flow and cinematic quality. The following is the main content of mine: """ return (prefix + input_text,) elif mode == "图生视频": prefix = """You are tasked with creating a cinematic, highly detailed video scene based on a given image or user description. This prompt is designed to generate an immersive and visually dynamic video experience by focusing on precise, chronological details. The goal is to build a vivid and realistic portrayal of the scene, paying close attention to every element, from the main action to environmental nuances. The description should flow seamlessly, focusing on essential visual and cinematic aspects while adhering to the 200-word limit. - Main Action/Focus: Begin with a clear, concise description of the central action or key object in the scene. This could be a person, an object, or an event taking place, providing the core of the scene’s narrative. - Environment and Objects: Describe the surrounding environment or objects in detail. Focus on their textures, colors, scale, and positioning. These details should support the main action and contribute to the atmosphere of the scene. - Background Details: Provide a vivid depiction of the background. This could include natural or architectural elements, distant landscapes, or other features that add context to the main subject. These details should enrich the visual storytelling. - Camera Perspective and Movements: Specify the camera angle or perspective being used—whether it’s a wide shot, a close-up, or something more dynamic like a tracking shot or pan. Include any camera movements, such as zooms, tilts, or dollies, if applicable. - Lighting and Colors: Detail the lighting in the scene, explaining whether it’s natural, artificial, or a combination of both. Consider how the lighting affects the mood, the shadows it creates, and the color temperature (warm or cool). - Atmospheric or Environmental Changes: If there are any shifts in the scene, like a sudden change in weather, lighting, or emotion, describe these transitions clearly. These environmental changes add dynamic elements to the video. - Final Details: Ensure that all visual and contextual elements are cohesive and align with the image or input provided. Make sure the description transitions smoothly from one point to the next. By following this structure, you ensure that every aspect of the scene is addressed with precision, providing a detailed, cinematic prompt that is easily translated into a video. Keep the descriptions concise, ensuring all visual and environmental factors come together to create a fluid and engaging cinematic experience. The following is the main content of mine: """ return (prefix + input_text,) elif mode == "首尾帧视频": prefix = """You are an expert filmmaker renowned for transforming static imagery into compelling cinematic sequences. Using two images provided by the user, your task is to create a seamless visual narrative that bridges Image One to Image Two. Focus on the dynamic transition, highlighting actions, environmental shifts, and visual elements that unfold in chronological order. Craft your description with the language of cinematography, ensuring a fluid and immersive narrative. Requirements: Scene Continuity: - Begin with a detailed description of Image One’s setting, including central characters, objects, or key visual elements. - Follow with a smooth narrative of the transition, emphasizing movement, visual progression, or any changes between the images. - Conclude with a description of Image Two’s key details, noting the evolution of the environment, characters, or visual composition. Richly Detailed Description: - Capture notable actions, expressions, or gestures of characters or subjects. - Describe environmental details such as lighting, color palette, weather, and atmosphere. - Incorporate cinematographic techniques, including camera angles, zooms, tracking shots, or any dynamic movements. Emotional and Contextual Flow: - Highlight the emotional connection between the two images or the tone shift (e.g., from calm to tense, or from chaotic to serene). - Prioritize visual coherence, even if there are discrepancies between the user’s input and the images. Output Format: - Begin by detailing Image One’s core elements and actions. - Smoothly transition, describing visual progressions and movements. - End with the details and conclusion of Image Two. - Limit to 200 words in a single cohesive paragraph. The following is the main content of mine: """ return (prefix + input_text,) elif mode == "视频负面词": return ( """Overexposure, static artifacts, blurred details, visible subtitles, low-resolution paintings, still imagery, overly gray tones, poor quality, JPEG compression artifacts, unsightly distortions, mutilated features, redundant or extra fingers, poorly rendered hands, poorly depicted faces, anatomical deformities, facial disfigurements, misshapen limbs, fused or distorted fingers, cluttered and distracting background elements, extra or missing limbs (e.g., three legs), overcrowded backgrounds with excessive figures, reversed or upside-down compositions""",) else: return ("",) except Exception as e: return (f"Error: {str(e)}",)