| import multiprocessing |
| import pathlib |
| import re |
| import string |
| import traceback |
| from multiprocessing import Queue |
|
|
| import markdownify |
| import orjson |
| import tqdm |
| from bs4 import BeautifulSoup, Comment, NavigableString, Tag |
| from markdownify import chomp |
|
|
| if __name__ == "__main__": |
| multiprocessing.set_start_method("forkserver") |
|
|
|
|
| queue = Queue(maxsize=64) |
|
|
|
|
| class WikiConverter(markdownify.MarkdownConverter): |
| def convert_a(self, el, text, convert_as_inline): |
| prefix, suffix, text = chomp(text) |
| if not text: |
| return "" |
| return "%s%s%s" % (prefix, text, suffix) |
|
|
| integer_rgx = re.compile("^[0-9]*$") |
|
|
| @staticmethod |
| def is_intable(string: str): |
| if not string or not string.isdigit(): |
| return False |
| if WikiConverter.integer_rgx.match(string): |
| return True |
|
|
| def convert_img(self, el, text, convert_as_inline): |
| convert_as_inline = True |
| if ( |
| convert_as_inline |
| and el.parent.name not in self.options["keep_inline_images_in"] |
| ): |
| return "" |
| return "" |
|
|
| def convert_li(self, el, text, convert_as_inline): |
| parent = el.parent |
| if parent is not None and parent.name == "ol": |
| start = parent.get("start") |
| if start and WikiConverter.is_intable(start.strip()): |
| start = int(start.strip()) |
| else: |
| start = 1 |
| bullet = "%s." % (start + parent.index(el)) |
| else: |
| depth = -1 |
| while el: |
| if el.name == "ul": |
| depth += 1 |
| el = el.parent |
| bullets = self.options["bullets"] |
| bullet = bullets[depth % len(bullets)] |
| return "%s %s\n" % (bullet, (text or "").strip()) |
|
|
|
|
| wk = WikiConverter() |
|
|
|
|
| def table_filtration(input_soup: BeautifulSoup, title): |
| for table in input_soup.select("table"): |
| tds = len(table.find_all("td")) |
| texsize = len(table.get_text().replace(" ", "")) |
| if tds >= texsize and texsize < 50: |
| table.decompose() |
| if tds > 20: |
| |
| table.decompose() |
| |
| |
| return input_soup |
|
|
|
|
| def soup_data(data: BeautifulSoup, title: str): |
| soup = data |
|
|
| |
| [toc.decompose() for toc in soup.find_all("div", attrs={"class": "toc"})] |
| [toc.decompose() for toc in soup.select("[class*='nav']")] |
| |
| |
| [element.decompose() for element in soup.select(".mw-editsection")] |
| |
| [element.decompose() for element in soup.select("style")] |
|
|
| [element.decompose() for element in soup.select("sup.reference")] |
| |
| [element.decompose() for element in soup.select(".thumbcaption")] |
| |
| [toc.decompose() for toc in soup.select("audio")] |
| [toc.decompose() for toc in soup.select("picture")] |
| [toc.decompose() for toc in soup.select("img")] |
| [toc.decompose() for toc in soup.select("[class*='video']")] |
| |
| [toc.decompose() for toc in soup.select("[class*='tooltip']")] |
| [toc.decompose() for toc in soup.select("video")] |
|
|
| [ |
| toc.decompose() |
| for toc in soup.select(".no-featured-video .featured-video-player-container") |
| ] |
| |
| cleaned_soup = table_filtration(soup, title) |
| composed_data = ( |
| re.sub(r"\n\s*\n", "\n\n", wk.convert_soup(cleaned_soup)) |
| .replace("\n |\n|", " |\n") |
| .strip() |
| ) |
| return composed_data |
|
|
|
|
| raw_puncts = string.punctuation + "{}()[]【】、,゠=…‥。「」『』〝〟" |
|
|
| puncts = str.maketrans("", "", raw_puncts) |
|
|
| cpl = re.compile(r"\n\s*\n") |
|
|
| dbg_q = multiprocessing.Queue() |
|
|
|
|
| def debug_queue(): |
| try: |
| with open("debug.txt", "w", encoding="utf-8") as f: |
| while True: |
| z = dbg_q.get() |
| if z is None or z == "None": |
| break |
| f.write(z + "\n") |
| f.flush() |
| except Exception as e: |
| print(e) |
|
|
|
|
| |
| msgbox = set(["mbox", "notice", "hidden", "plainlinks"]) |
| msgbox2 = set(["mbox", "notice", "stub-box", "plainlinks"]) |
| msgbox3 = set(["notice", "metadata", "plainlinks"]) |
| |
| msgbox_agressive = set( |
| [ |
| "mbox-w", |
| "mbox", |
| "msgbox", |
| "notice-container", |
| "notice", |
| "message-box", |
| "boilerplate", |
| "ambox", |
| "ombox", |
| ] |
| ) |
|
|
| wikistub = set(["wikistub"]) |
|
|
|
|
| def get_text_cleaned(elem): |
| return ( |
| cpl.sub("\n\n", elem.get_text(" ")) |
| .replace("\n", " ") |
| .replace(" ", " ") |
| .replace(" ", " ") |
| .lower() |
| ) |
|
|
|
|
| def get_plain_text_clean(data: str): |
| return ( |
| cpl.sub("\n\n", data.translate(puncts)) |
| .replace("\n", " ") |
| .replace(" ", " ") |
| .replace(" ", " ") |
| .lower() |
| ) |
|
|
|
|
| t_stubs = 0 |
| f_stubs = 0 |
|
|
| t_lock = multiprocessing.Lock() |
|
|
|
|
| def t_inc(idx: int): |
| global t_stubs |
| with t_lock: |
| t_stubs += idx |
|
|
|
|
| f_lock = multiprocessing.Lock() |
|
|
|
|
| def f_inc(idx: int): |
| global f_stubs |
| with f_lock: |
| f_stubs += idx |
|
|
|
|
| def stub_removal(soup: str, debug=None): |
| b_soup = BeautifulSoup(soup, "lxml") |
| a = get_text_cleaned(b_soup) |
| if "this article is a stub" in a: |
| parser = b_soup.select_one(".mw-parser-output") |
| if parser is None: |
| return b_soup, [] |
| pruned = [] |
| for child in parser.children: |
| if child is None: |
| continue |
| if isinstance(child, Comment): |
| continue |
| if isinstance(child, NavigableString): |
| |
| |
| |
| continue |
| if not isinstance(child, Tag): |
| |
| continue |
| classes = set(i.lower() for i in child.get("class", [])) |
| styles = child.get("style", "") |
| has_border = False |
| if styles: |
| styles = { |
| i.split(":")[0]: ":".join(i.split(":")[1:]) |
| for i in child.get("style", "").split(";") |
| } |
|
|
| has_border = any( |
| [ |
| styles.get("border"), |
| styles.get("border-width") and styles.get("border-style"), |
| styles.get("border-top"), |
| styles.get("border-bottom"), |
| styles.get("border-left"), |
| styles.get("border-right"), |
| styles.get("background"), |
| ] |
| ) |
| |
|
|
| child_text = get_text_cleaned(child) |
| has_stub_word = "stub" in child_text and "this article" in child_text |
| c_name = "" if not child.name else child.name |
|
|
| if not has_stub_word: |
| continue |
| if ( |
| len(classes.intersection(msgbox)) == len(msgbox) |
| or len(classes.intersection(msgbox2)) == len(msgbox2) |
| or len(classes.intersection(msgbox3)) == len(msgbox3) |
| ): |
| child.decompose() |
| pruned.append("mbox") |
| elif len(classes.intersection(msgbox_agressive)) > 0: |
| child.decompose() |
| |
| pruned.append("mbox3_aggressive") |
| elif len(classes.intersection(wikistub)) == 1: |
| child.decompose() |
| pruned.append("wikistub[gods-games-we-play]") |
| elif "table" in c_name: |
| pruned.append("table[stub-word]") |
| child.decompose() |
| elif "dl" in c_name: |
| if len(child.find_all("dd", recursive=False)) == 1: |
| pruned.append("dl > dd") |
| child.decompose() |
| elif "div" in c_name: |
| inner_elements = [ |
| i for i in child.find_all(recursive=False) if isinstance(i, Tag) |
| ] |
| if len(inner_elements) == 0: |
| |
| |
| continue |
| stub_inner = get_text_cleaned(inner_elements[0]) |
| has_stub_word = "stub" in stub_inner and "this article" |
|
|
| if len(inner_elements) == 0 or len(inner_elements) > 2: |
| |
| |
| |
| continue |
| if ( |
| inner_elements[0].name |
| and inner_elements[0].name == "table" |
| and has_stub_word |
| ): |
| pruned.append("table[stub-word]") |
| child.decompose() |
| elif has_border and inner_elements[0].name.lower() in [ |
| "div", |
| "p", |
| "span", |
| ]: |
| |
| pruned.append("risky[border]") |
| else: |
| |
| |
| |
| pruned.append("?") |
| elif "p" in c_name: |
| child.decompose() |
| |
| f_inc(1) |
| pruned.append("risky[p]") |
| elif "center" in c_name: |
| |
| child.decompose() |
| f_inc(1) |
| pruned.append("risky[center]") |
| if pruned: |
| t_inc(len(pruned)) |
| |
| return b_soup, pruned |
| else: |
| |
| |
| return b_soup, [] |
|
|
| return b_soup, [] |
|
|
|
|
| def writer(fp: str, writer_queue: multiprocessing.Queue): |
| pbar = tqdm.tqdm() |
| try: |
| with open(fp, "wb") as fl: |
| while True: |
| q = writer_queue.get(block=True) |
| if q is None or isinstance(q, str) and q == "None": |
| print("Q Empty, exit.") |
| break |
| elif isinstance(q, bytes): |
| fl.write(q) |
| fl.write(b"\n") |
| pbar.update(1) |
| except Exception as e: |
| print("Writer Crashed?") |
| traceback.print_exception(e) |
|
|
|
|
| def mt_fn(bytes_data: bytes, write_queue: multiprocessing.Queue): |
| data = orjson.loads(bytes_data) |
| dbg = f"domain: {data['domain']} title: {data['page']}" |
| if "parse" not in data["content"]: |
| print( |
| "Missing parse content", |
| "domain", |
| data["domain"], |
| "title", |
| data["page"], |
| ) |
| return |
| lower_title = data["page"].lower() |
| if ( |
| lower_title.startswith("forum:") |
| or lower_title.startswith("discussion:") |
| or lower_title.startswith("thread:") |
| or lower_title.startswith("comments:") |
| or lower_title.startswith("comment:") |
| ): |
| return |
| if lower_title.endswith("gallery"): |
| return |
| soup = data["content"]["parse"]["text"]["*"] |
| cats = ",".join([z["*"] for z in data["content"]["parse"]["categories"]]).lower() |
| unstubbed_soup, removed = stub_removal(soup, debug=dbg) |
| text = soup_data(unstubbed_soup, data["page"]) |
| unpunct = get_plain_text_clean(text) |
| if len(unpunct) > 64: |
| |
| write_queue.put( |
| orjson.dumps( |
| { |
| "text": text, |
| "meta": { |
| "title": data["page"], |
| "domain": data["domain"], |
| "cats": cats, |
| "removed": removed, |
| }, |
| } |
| ) |
| ) |
|
|
|
|
| def err_handler(e): |
| if "KeyboardInterrupt" not in str(e): |
| traceback.print_exception(e) |
|
|
|
|
| def main(): |
| with multiprocessing.Pool(processes=64) as pool: |
| managed = multiprocessing.Manager() |
| writer_out = managed.Queue() |
| write_proc = multiprocessing.Process( |
| target=writer, args=("test.jsonl", writer_out), daemon=False |
| ) |
| |
| write_proc.start() |
|
|
| tasks = [] |
| for file in pathlib.Path("v2.5-chunks-roblox-filter").iterdir(): |
| with open(file, "rb") as f: |
| iter_wrapper = f |
| for line in iter_wrapper: |
| tasks.append( |
| pool.apply_async( |
| mt_fn, args=(line, writer_out), error_callback=err_handler |
| ) |
| ) |
|
|
| if len(tasks) >= 100000: |
| print("Waiting for Chunked task to complete.") |
| for task in tasks: |
| if task.ready(): |
| continue |
| task.wait() |
| tasks = [] |
| print("[I] ========== Task gen done", file) |
| print("Waiting for Chunked task to complete.") |
| for task in tasks: |
| if task.ready(): |
| continue |
| task.wait() |
| print("Cleanup") |
| |
| dbg_q.put("None") |
| |
| writer_out.put("None") |
| |
| |
| |
|
|
| write_proc.join() |
|
|
| pool.close() |
| pool.join() |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|