import csv import os import os.path import re import typing import shutil class PromptStyle(typing.NamedTuple): name: str prompt: str negative_prompt: str def merge_prompts(style_prompt: str, prompt: str) -> str: if "{prompt}" in style_prompt: res = style_prompt.replace("{prompt}", prompt) else: parts = filter(None, (prompt.strip(), style_prompt.strip())) res = ", ".join(parts) return res def apply_styles_to_prompt(prompt, styles): for style in styles: prompt = merge_prompts(style, prompt) return prompt re_spaces = re.compile(" +") def extract_style_text_from_prompt(style_text, prompt): stripped_prompt = re.sub(re_spaces, " ", prompt.strip()) stripped_style_text = re.sub(re_spaces, " ", style_text.strip()) if "{prompt}" in stripped_style_text: left, right = stripped_style_text.split("{prompt}", 2) if stripped_prompt.startswith(left) and stripped_prompt.endswith(right): prompt = stripped_prompt[len(left):len(stripped_prompt)-len(right)] return True, prompt else: if stripped_prompt.endswith(stripped_style_text): prompt = stripped_prompt[:len(stripped_prompt)-len(stripped_style_text)] if prompt.endswith(', '): prompt = prompt[:-2] return True, prompt return False, prompt def extract_style_from_prompts(style: PromptStyle, prompt, negative_prompt): if not style.prompt and not style.negative_prompt: return False, prompt, negative_prompt match_positive, extracted_positive = extract_style_text_from_prompt(style.prompt, prompt) if not match_positive: return False, prompt, negative_prompt match_negative, extracted_negative = extract_style_text_from_prompt(style.negative_prompt, negative_prompt) if not match_negative: return False, prompt, negative_prompt return True, extracted_positive, extracted_negative class StyleDatabase: def __init__(self, path: str): self.no_style = PromptStyle("None", "", "") self.styles = {} self.path = path self.reload() def reload(self): self.styles.clear() if not os.path.exists(self.path): return with open(self.path, "r", encoding="utf-8-sig", newline='') as file: reader = csv.DictReader(file, skipinitialspace=True) for row in reader: # Support loading old CSV format with "name, text"-columns prompt = row["prompt"] if "prompt" in row else row["text"] negative_prompt = row.get("negative_prompt", "") self.styles[row["name"]] = PromptStyle(row["name"], prompt, negative_prompt) def get_style_prompts(self, styles): return [self.styles.get(x, self.no_style).prompt for x in styles] def get_negative_style_prompts(self, styles): return [self.styles.get(x, self.no_style).negative_prompt for x in styles] def apply_styles_to_prompt(self, prompt, styles): return apply_styles_to_prompt(prompt, [self.styles.get(x, self.no_style).prompt for x in styles]) def apply_negative_styles_to_prompt(self, prompt, styles): return apply_styles_to_prompt(prompt, [self.styles.get(x, self.no_style).negative_prompt for x in styles]) def save_styles(self, path: str) -> None: # Always keep a backup file around if os.path.exists(path): shutil.copy(path, f"{path}.bak") fd = os.open(path, os.O_RDWR | os.O_CREAT) with os.fdopen(fd, "w", encoding="utf-8-sig", newline='') as file: # _fields is actually part of the public API: typing.NamedTuple is a replacement for collections.NamedTuple, # and collections.NamedTuple has explicit documentation for accessing _fields. Same goes for _asdict() writer = csv.DictWriter(file, fieldnames=PromptStyle._fields) writer.writeheader() writer.writerows(style._asdict() for k, style in self.styles.items()) def extract_styles_from_prompt(self, prompt, negative_prompt): extracted = [] applicable_styles = list(self.styles.values()) while True: found_style = None for style in applicable_styles: is_match, new_prompt, new_neg_prompt = extract_style_from_prompts(style, prompt, negative_prompt) if is_match: found_style = style prompt = new_prompt negative_prompt = new_neg_prompt break if not found_style: break applicable_styles.remove(found_style) extracted.append(found_style.name) return list(reversed(extracted)), prompt, negative_prompt