78 lines
2.2 KiB
Python
78 lines
2.2 KiB
Python
import hashlib
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import logging
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import requests
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from bs4 import BeautifulSoup
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from embedchain.helper.json_serializable import register_deserializable
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from embedchain.loaders.base_loader import BaseLoader
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from embedchain.utils import clean_string
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@register_deserializable
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class WebPageLoader(BaseLoader):
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def load_data(self, url):
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"""Load data from a web page."""
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response = requests.get(url)
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data = response.content
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soup = BeautifulSoup(data, "html.parser")
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original_size = len(str(soup.get_text()))
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tags_to_exclude = [
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"nav",
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"aside",
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"form",
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"header",
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"noscript",
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"svg",
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"canvas",
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"footer",
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"script",
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"style",
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]
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for tag in soup(tags_to_exclude):
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tag.decompose()
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ids_to_exclude = ["sidebar", "main-navigation", "menu-main-menu"]
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for id in ids_to_exclude:
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tags = soup.find_all(id=id)
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for tag in tags:
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tag.decompose()
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classes_to_exclude = [
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"elementor-location-header",
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"navbar-header",
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"nav",
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"header-sidebar-wrapper",
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"blog-sidebar-wrapper",
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"related-posts",
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]
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for class_name in classes_to_exclude:
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tags = soup.find_all(class_=class_name)
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for tag in tags:
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tag.decompose()
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content = soup.get_text()
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content = clean_string(content)
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cleaned_size = len(content)
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if original_size != 0:
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logging.info(
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f"[{url}] Cleaned page size: {cleaned_size} characters, down from {original_size} (shrunk: {original_size-cleaned_size} chars, {round((1-(cleaned_size/original_size)) * 100, 2)}%)" # noqa:E501
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)
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meta_data = {
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"url": url,
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}
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content = content
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doc_id = hashlib.sha256((content + url).encode()).hexdigest()
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return {
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"doc_id": doc_id,
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"data": [
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{
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"content": content,
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"meta_data": meta_data,
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}
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],
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}
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