234 lines
9.3 KiB
Python
234 lines
9.3 KiB
Python
from pathlib import Path
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from modules import errors
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import csv
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import os
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import typing
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import shutil
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class PromptStyle(typing.NamedTuple):
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name: str
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prompt: str | None
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negative_prompt: str | None
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path: str | None = None
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def merge_prompts(style_prompt: str, prompt: str) -> str:
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if "{prompt}" in style_prompt:
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res = style_prompt.replace("{prompt}", prompt)
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else:
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parts = filter(None, (prompt.strip(), style_prompt.strip()))
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res = ", ".join(parts)
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return res
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def apply_styles_to_prompt(prompt, styles):
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for style in styles:
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prompt = merge_prompts(style, prompt)
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return prompt
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def extract_style_text_from_prompt(style_text, prompt):
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"""This function extracts the text from a given prompt based on a provided style text. It checks if the style text contains the placeholder {prompt} or if it appears at the end of the prompt. If a match is found, it returns True along with the extracted text. Otherwise, it returns False and the original prompt.
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extract_style_text_from_prompt("masterpiece", "1girl, art by greg, masterpiece") outputs (True, "1girl, art by greg")
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extract_style_text_from_prompt("masterpiece, {prompt}", "masterpiece, 1girl, art by greg") outputs (True, "1girl, art by greg")
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extract_style_text_from_prompt("masterpiece, {prompt}", "exquisite, 1girl, art by greg") outputs (False, "exquisite, 1girl, art by greg")
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"""
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stripped_prompt = prompt.strip()
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stripped_style_text = style_text.strip()
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if "{prompt}" in stripped_style_text:
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left, right = stripped_style_text.split("{prompt}", 2)
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if stripped_prompt.startswith(left) and stripped_prompt.endswith(right):
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prompt = stripped_prompt[len(left):len(stripped_prompt)-len(right)]
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return True, prompt
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else:
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if stripped_prompt.endswith(stripped_style_text):
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prompt = stripped_prompt[:len(stripped_prompt)-len(stripped_style_text)]
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if prompt.endswith(', '):
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prompt = prompt[:-2]
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return True, prompt
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return False, prompt
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def extract_original_prompts(style: PromptStyle, prompt, negative_prompt):
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"""
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Takes a style and compares it to the prompt and negative prompt. If the style
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matches, returns True plus the prompt and negative prompt with the style text
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removed. Otherwise, returns False with the original prompt and negative prompt.
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"""
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if not style.prompt and not style.negative_prompt:
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return False, prompt, negative_prompt
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match_positive, extracted_positive = extract_style_text_from_prompt(style.prompt, prompt)
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if not match_positive:
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return False, prompt, negative_prompt
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match_negative, extracted_negative = extract_style_text_from_prompt(style.negative_prompt, negative_prompt)
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if not match_negative:
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return False, prompt, negative_prompt
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return True, extracted_positive, extracted_negative
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class StyleDatabase:
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def __init__(self, paths: list[str | Path]):
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self.no_style = PromptStyle("None", "", "", None)
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self.styles = {}
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self.paths = paths
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self.all_styles_files: list[Path] = []
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folder, file = os.path.split(self.paths[0])
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if '*' in file or '?' in file:
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# if the first path is a wildcard pattern, find the first match else use "folder/styles.csv" as the default path
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self.default_path = next(Path(folder).glob(file), Path(os.path.join(folder, 'styles.csv')))
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self.paths.insert(0, self.default_path)
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else:
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self.default_path = Path(self.paths[0])
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self.prompt_fields = [field for field in PromptStyle._fields if field != "path"]
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self.reload()
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def reload(self):
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"""
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Clears the style database and reloads the styles from the CSV file(s)
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matching the path used to initialize the database.
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"""
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self.styles.clear()
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# scans for all styles files
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all_styles_files = []
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for pattern in self.paths:
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folder, file = os.path.split(pattern)
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if '*' in file or '?' in file:
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found_files = Path(folder).glob(file)
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[all_styles_files.append(file) for file in found_files]
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else:
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# if os.path.exists(pattern):
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all_styles_files.append(Path(pattern))
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# Remove any duplicate entries
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seen = set()
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self.all_styles_files = [s for s in all_styles_files if not (s in seen or seen.add(s))]
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for styles_file in self.all_styles_files:
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if len(all_styles_files) > 1:
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# add divider when more than styles file
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# '---------------- STYLES ----------------'
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divider = f' {styles_file.stem.upper()} '.center(40, '-')
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self.styles[divider] = PromptStyle(f"{divider}", None, None, "do_not_save")
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if styles_file.is_file():
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self.load_from_csv(styles_file)
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def load_from_csv(self, path: str | Path):
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try:
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with open(path, "r", encoding="utf-8-sig", newline="") as file:
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reader = csv.DictReader(file, skipinitialspace=True)
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for row in reader:
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# Ignore empty rows or rows starting with a comment
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if not row or row["name"].startswith("#"):
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continue
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# Support loading old CSV format with "name, text"-columns
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prompt = row["prompt"] if "prompt" in row else row["text"]
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negative_prompt = row.get("negative_prompt", "")
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# Add style to database
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self.styles[row["name"]] = PromptStyle(
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row["name"], prompt, negative_prompt, str(path)
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)
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except Exception:
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errors.report(f'Error loading styles from {path}: ', exc_info=True)
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def get_style_paths(self) -> set:
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"""Returns a set of all distinct paths of files that styles are loaded from."""
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# Update any styles without a path to the default path
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for style in list(self.styles.values()):
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if not style.path:
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self.styles[style.name] = style._replace(path=str(self.default_path))
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# Create a list of all distinct paths, including the default path
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style_paths = set()
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style_paths.add(str(self.default_path))
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for _, style in self.styles.items():
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if style.path:
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style_paths.add(style.path)
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# Remove any paths for styles that are just list dividers
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style_paths.discard("do_not_save")
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return style_paths
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def get_style_prompts(self, styles):
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return [self.styles.get(x, self.no_style).prompt for x in styles]
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def get_negative_style_prompts(self, styles):
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return [self.styles.get(x, self.no_style).negative_prompt for x in styles]
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def apply_styles_to_prompt(self, prompt, styles):
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return apply_styles_to_prompt(
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prompt, [self.styles.get(x, self.no_style).prompt for x in styles]
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)
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def apply_negative_styles_to_prompt(self, prompt, styles):
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return apply_styles_to_prompt(
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prompt, [self.styles.get(x, self.no_style).negative_prompt for x in styles]
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)
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def save_styles(self, path: str = None) -> None:
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# The path argument is deprecated, but kept for backwards compatibility
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style_paths = self.get_style_paths()
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csv_names = [os.path.split(path)[1].lower() for path in style_paths]
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for style_path in style_paths:
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# Always keep a backup file around
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if os.path.exists(style_path):
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shutil.copy(style_path, f"{style_path}.bak")
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# Write the styles to the CSV file
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with open(style_path, "w", encoding="utf-8-sig", newline="") as file:
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writer = csv.DictWriter(file, fieldnames=self.prompt_fields)
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writer.writeheader()
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for style in (s for s in self.styles.values() if s.path == style_path):
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# Skip style list dividers, e.g. "STYLES.CSV"
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if style.name.lower().strip("# ") in csv_names:
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continue
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# Write style fields, ignoring the path field
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writer.writerow(
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{k: v for k, v in style._asdict().items() if k != "path"}
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)
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def extract_styles_from_prompt(self, prompt, negative_prompt):
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extracted = []
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applicable_styles = list(self.styles.values())
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while True:
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found_style = None
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for style in applicable_styles:
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is_match, new_prompt, new_neg_prompt = extract_original_prompts(
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style, prompt, negative_prompt
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)
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if is_match:
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found_style = style
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prompt = new_prompt
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negative_prompt = new_neg_prompt
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break
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if not found_style:
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break
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applicable_styles.remove(found_style)
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extracted.append(found_style.name)
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return list(reversed(extracted)), prompt, negative_prompt
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