Spaces:
Runtime error
Runtime error
File size: 5,107 Bytes
1db460d e773696 a636bcb e773696 a636bcb e773696 a636bcb e773696 a636bcb e773696 a636bcb 3dda344 e773696 a636bcb e773696 a636bcb e773696 a636bcb e773696 af2c647 cff1afc e773696 a636bcb e773696 1db460d e773696 1db460d e773696 1db460d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 |
import concurrent.futures
import re
from pathlib import Path
from pprint import pprint
from bs4 import BeautifulSoup
from tiktoken import get_encoding as tiktoken_get_encoding
from utils.logger import logger
from markdownify import markdownify
from networks.network_configs import IGNORE_TAGS, IGNORE_CLASSES
from termcolor import colored
class WebpageContentExtractor:
def __init__(self):
self.tokenizer = tiktoken_get_encoding("cl100k_base")
def count_tokens(self, text):
tokens = self.tokenizer.encode(text)
token_count = len(tokens)
return token_count
def html_to_markdown(self, html_str, ignore_links=True):
if ignore_links:
markdown_str = markdownify(html_str, strip="a")
else:
markdown_str = markdownify(html_str)
markdown_str = re.sub(r"\n{3,}", "\n\n", markdown_str)
self.markdown_token_count = self.count_tokens(markdown_str)
logger.mesg(f'- Tokens: {colored(self.markdown_token_count,"light_green")}')
self.markdown_str = markdown_str
return self.markdown_str
def remove_elements_from_html(self, html_str):
soup = BeautifulSoup(html_str, "html.parser")
ignore_classes_with_parentheses = [f"({word})" for word in IGNORE_CLASSES]
ignore_classes_pattern = f'{"|".join(ignore_classes_with_parentheses)}'
removed_element_counts = 0
for element in soup.find_all():
class_str = ""
id_str = ""
try:
class_attr = element.get("class", [])
if class_attr:
class_str = " ".join(list(class_attr))
if id_str:
class_str = f"{class_str} {id_str}"
except:
pass
try:
id_str = element.get("id", "")
except:
pass
if (
(not element.text.strip())
or (element.name in IGNORE_TAGS)
or (re.search(ignore_classes_pattern, class_str, flags=re.IGNORECASE))
or (re.search(ignore_classes_pattern, id_str, flags=re.IGNORECASE))
):
element.decompose()
removed_element_counts += 1
logger.mesg(
f"- Elements: "
f'{colored(len(soup.find_all()),"light_green")} / {colored(removed_element_counts,"light_red")}'
)
html_str = str(soup)
self.html_str = html_str
return self.html_str
def extract(self, html_path):
logger.note(f"Extracting content from: {html_path}")
if not Path(html_path).exists():
logger.warn(f"File not found: {html_path}")
return ""
encodings = ["utf-8", "latin-1"]
for encoding in encodings:
try:
with open(html_path, "r", encoding=encoding, errors="ignore") as rf:
html_str = rf.read()
break
except UnicodeDecodeError:
pass
else:
logger.warn(f"No matching encodings: {html_path}")
return ""
html_str = self.remove_elements_from_html(html_str)
markdown_str = self.html_to_markdown(html_str)
return markdown_str
class BatchWebpageContentExtractor:
def __init__(self) -> None:
self.html_path_and_extracted_content_list = []
self.done_count = 0
def extract_single_html(self, html_path):
webpage_content_extractor = WebpageContentExtractor()
extracted_content = webpage_content_extractor.extract(html_path)
self.html_path_and_extracted_content_list.append(
{"html_path": html_path, "extracted_content": extracted_content}
)
self.done_count += 1
logger.success(
f"> [{self.done_count}/{self.total_count}] Extracted: {html_path}"
)
def extract(self, html_paths):
self.html_path = html_paths
self.total_count = len(self.html_path)
with concurrent.futures.ThreadPoolExecutor() as executor:
futures = [
executor.submit(self.extract_single_html, html_path)
for html_path in self.html_path
]
for idx, future in enumerate(concurrent.futures.as_completed(futures)):
result = future.result()
return self.html_path_and_extracted_content_list
if __name__ == "__main__":
html_root = Path(__file__).parents[1] / "files" / "urls" / "python tutorials"
html_paths = [
html_root / html_filename
for html_filename in [
"docs.python.org_zh-cn_3_tutorial_interpreter.html",
"stackoverflow.com_questions_295135_turn-a-string-into-a-valid-filename.html",
"www.liaoxuefeng.com_wiki_1016959663602400_1017495723838528.html",
]
]
batch_webpage_content_extractor = BatchWebpageContentExtractor()
html_path_and_extracted_content_list = batch_webpage_content_extractor.extract(
html_paths
)
# pprint(html_path_and_extracted_content_list)
|