sub2txt.py

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 "<prd>" or "<stop>", 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<prd>", text)
    text = re.sub(websites, "<prd>\\1", text)
    text = re.sub(digits + "[.]" + digits, "\\1<prd>\\2", text)
    text = re.sub(
        multiple_dots, lambda match: "<prd>" * len(match.group(0)) + "<stop>", text
    )
    if "Ph.D" in text:
        text = text.replace("Ph.D.", "Ph<prd>D<prd>")
    text = re.sub(r"\s" + alphabets + "[.] ", " \\1<prd> ", text)
    text = re.sub(acronyms + " " + starters, "\\1<stop> \\2", text)
    text = re.sub(
        alphabets + "[.]" + alphabets + "[.]" + alphabets + "[.]",
        "\\1<prd>\\2<prd>\\3<prd>",
        text,
    )
    text = re.sub(alphabets + "[.]" + alphabets + "[.]", "\\1<prd>\\2<prd>", text)
    text = re.sub(" " + suffixes + "[.] " + starters, " \\1<stop> \\2", text)
    text = re.sub(" " + suffixes + "[.]", " \\1<prd>", text)
    text = re.sub(" " + alphabets + "[.]", " \\1<prd>", 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(".", ".<stop>")
    text = text.replace("?", "?<stop>")
    text = text.replace("!", "!<stop>")
    text = text.replace("<prd>", ".")
    sentences = text.split("<stop>")
    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()