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@@ -0,0 +1,85 @@
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+import time
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+import hashlib
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+import logging
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+import requests
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+
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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 is_readable
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+
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+
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+@register_deserializable
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+class SubstackLoader(BaseLoader):
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+ """
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+ This method takes a sitemap URL as input and retrieves
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+ all the URLs to use the WebPageLoader to load content
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+ of each page.
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+ """
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+
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+ def load_data(self, url: str):
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+ try:
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+ from bs4 import BeautifulSoup
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+ from bs4.builder import ParserRejectedMarkup
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+ except ImportError:
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+ raise ImportError(
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+ 'Substack requires extra dependencies. Install with `pip install --upgrade "embedchain[dataloaders]"`'
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+ ) from None
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+
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+ output = []
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+ response = requests.get(url)
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+ response.raise_for_status()
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+
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+ soup = BeautifulSoup(response.text, "xml")
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+ links = [link.text for link in soup.find_all("loc") if link.parent.name == "url" and "/p/" in link.text]
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+ if len(links) == 0:
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+ links = [link.text for link in soup.find_all("loc") if "/p/" in link.text]
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+
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+ doc_id = hashlib.sha256((" ".join(links) + url).encode()).hexdigest()
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+
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+ def serialize_response(soup: BeautifulSoup):
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+ data = {}
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+
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+ h1_els = soup.find_all("h1")
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+ if h1_els is not None and len(h1_els) > 0:
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+ data["title"] = h1_els[1].text
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+
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+ description_el = soup.find("meta", {"name": "description"})
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+ if description_el is not None:
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+ data["description"] = description_el["content"]
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+
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+ content_el = soup.find("div", {"class": "available-content"})
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+ if content_el is not None:
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+ data["content"] = content_el.text
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+
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+ like_btn = soup.find("div", {"class": "like-button-container"})
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+ if like_btn is not None:
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+ no_of_likes_div = like_btn.find("div", {"class": "label"})
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+ if no_of_likes_div is not None:
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+ data["no_of_likes"] = no_of_likes_div.text
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+
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+ return data
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+
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+ def load_link(link: str):
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+ try:
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+ each_load_data = requests.get(link)
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+ each_load_data.raise_for_status()
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+
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+ soup = BeautifulSoup(response.text, "html.parser")
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+ data = serialize_response(soup)
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+ data = str(data)
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+ if is_readable(data):
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+ return data
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+ else:
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+ logging.warning(f"Page is not readable (too many invalid characters): {link}")
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+ except ParserRejectedMarkup as e:
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+ logging.error(f"Failed to parse {link}: {e}")
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+ return None
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+
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+ for link in links:
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+ data = load_link(link)
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+ if data:
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+ output.append({"content": data, "meta_data": {"url": link}})
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+ # TODO: allow users to configure this
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+ time.sleep(0.4) # added to avoid rate limiting
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+
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+ return {"doc_id": doc_id, "data": output}
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