from copy import deepcopy import pathlib import srt import typer import re import orjson app = typer.Typer() alphabets = "([A-Za-z])" prefixes = "(Mr|St|Mrs|Ms|Dr)[.]" suffixes = "(Inc|Ltd|Jr|Sr|Co)" starters = r"(Mr|Mrs|Ms|Dr|Prof|Capt|Cpt|Lt|He\s|She\s|It\s|They\s|Their\s|Our\s|We\s|But\s|However\s|That\s|This\s|Wherever)" acronyms = "([A-Z][.][A-Z][.](?:[A-Z][.])?)" websites = "[.](com|net|org|io|gov|edu|me)" digits = "([0-9])" multiple_dots = r"\.{2,}" def split_into_sentences(text: str) -> list[str]: """ Split the text into sentences. If the text contains substrings "" or "", they would lead to incorrect splitting because they are used as markers for splitting. :param text: text to be split into sentences :type text: str :return: list of sentences :rtype: list[str] """ text = " " + text + " " text = text.replace("\n", " ") text = re.sub(prefixes, "\\1", text) text = re.sub(websites, "\\1", text) text = re.sub(digits + "[.]" + digits, "\\1\\2", text) text = re.sub( multiple_dots, lambda match: "" * len(match.group(0)) + "", text ) if "Ph.D" in text: text = text.replace("Ph.D.", "PhD") text = re.sub(r"\s" + alphabets + "[.] ", " \\1 ", text) text = re.sub(acronyms + " " + starters, "\\1 \\2", text) text = re.sub( alphabets + "[.]" + alphabets + "[.]" + alphabets + "[.]", "\\1\\2\\3", text, ) text = re.sub(alphabets + "[.]" + alphabets + "[.]", "\\1\\2", text) text = re.sub(" " + suffixes + "[.] " + starters, " \\1 \\2", text) text = re.sub(" " + suffixes + "[.]", " \\1", text) text = re.sub(" " + alphabets + "[.]", " \\1", text) if "”" in text: text = text.replace(".”", "”.") if '"' in text: text = text.replace('."', '".') if "!" in text: text = text.replace('!"', '"!') if "?" in text: text = text.replace('?"', '"?') text = text.replace(".", ".") text = text.replace("?", "?") text = text.replace("!", "!") text = text.replace("", ".") sentences = text.split("") sentences = [s.strip() for s in sentences] if sentences and not sentences[-1]: sentences = sentences[:-1] return sentences @app.command() def srt_folder(folder: pathlib.Path, output_file: pathlib.Path): with open(output_file,"wb") as f: for file in folder.rglob("*.srt"): if "(576p" in file.stem: things_string = "_".join(file.stem.split("_")[:-1]).split("-")[1].split("(576p")[0] elif "(1080p" in file.stem: things_string = "_".join(file.stem.split("_")[:-1]).split("-")[1].split("(1080p")[0] else: print(file.stem,"Missing trailing?") things = [i.strip() for i in things_string.split(";")] dict_content = srt_file(file, None, as_dict=True) dict_content["meta"]["things"] = things del dict_content["text"] dict_content["text"] = dict_content["meta"]["list_sentences"] del dict_content["meta"]["list_sentences"] f.write(orjson.dumps(dict_content) + b"\n") @app.command() def srt_file(file: pathlib.Path, output_file: pathlib.Path, as_dict: bool = False): data = file.read_text(encoding="utf-8") sub_lines = list(srt.parse(data)) raw_content = "" for sub in sub_lines: sub_content = sub.content.lower() if "captions by" in sub_content: continue if "captions paid for" in sub_content: continue if sub_content.startswith("narrator"): sub_content = sub_content.split("narrator:")[1].strip() # >> narrator: if sub_content.startswith(">> narrator:"): sub_content = sub_content.split(">> narrator:")[1].strip() # >> if sub_content.startswith(">>"): sub_content = sub_content[2:].strip() raw_content += sub_content.replace("\\N", " ").replace(" ", " ") + " " raw_content = raw_content.replace(" --", "-- ").replace("♪","").replace(" ", " ") sents = split_into_sentences(raw_content) sents = [s[0].upper() + s[1:] for s in sents] z = len(sents) for sent in deepcopy(sents): sent = re.sub(r"\[ .*? \]","",sent).strip() if not sent.strip("."): continue if "have any comments about the show" in sent: continue if "have any comments," in sent: continue if "have any questions about the show" in sent: continue if "drop us a line at" in sent: continue else: sents.append(sent) sents = sents[z:] # print(sents) if as_dict: return {"text": " ".join(sents), "meta": {"list_sentences": sents}} output_file.write_bytes( orjson.dumps({"text": " ".join(sents), "meta": {"list_sentences": sents}}) ) if __name__ == "__main__": app()