[New] Beehiiv loader (#963)
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104
embedchain/loaders/beehiiv.py
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104
embedchain/loaders/beehiiv.py
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@@ -0,0 +1,104 @@
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import hashlib
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import logging
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import time
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import requests
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from xml.etree import ElementTree
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from embedchain.helpers.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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@register_deserializable
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class BeehiivLoader(BaseLoader):
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"""
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This loader is used to load data from Beehiiv URLs.
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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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'Beehiiv requires extra dependencies. Install with `pip install --upgrade "embedchain[dataloaders]"`'
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) from None
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if not url.endswith("sitemap.xml"):
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url = url + "/sitemap.xml"
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output = []
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# we need to set this as a header to avoid 403
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headers = {
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"User-Agent": (
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"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_5) "
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"AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 "
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"Safari/537.36"
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),
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}
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response = requests.get(url, headers=headers)
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try:
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response.raise_for_status()
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except requests.exceptions.HTTPError as e:
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raise ValueError(
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f"""
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Failed to load {url}: {e}. Please use the root substack URL. For example, https://example.substack.com
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"""
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)
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try:
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ElementTree.fromstring(response.content)
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except ElementTree.ParseError:
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raise ValueError(
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f"""
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Failed to parse {url}. Please use the root substack URL. For example, https://example.substack.com
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"""
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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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doc_id = hashlib.sha256((" ".join(links) + url).encode()).hexdigest()
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def serialize_response(soup: BeautifulSoup):
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data = {}
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h1_el = soup.find("h1")
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if h1_el is not None:
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data["title"] = h1_el.text
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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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content_el = soup.find("div", {"id": "content-blocks"})
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if content_el is not None:
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data["content"] = content_el.text
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return data
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def load_link(link: str):
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try:
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beehiiv_data = requests.get(link, headers=headers)
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beehiiv_data.raise_for_status()
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soup = BeautifulSoup(beehiiv_data.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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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(1.0) # added to avoid rate limiting
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return {"doc_id": doc_id, "data": output}
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@@ -12,9 +12,7 @@ from embedchain.utils import is_readable
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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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This loader is used to load data from Substack URLs.
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"""
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def load_data(self, url: str):
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@@ -62,10 +60,10 @@ class SubstackLoader(BaseLoader):
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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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substack_data = requests.get(link)
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substack_data.raise_for_status()
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soup = BeautifulSoup(response.text, "html.parser")
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soup = BeautifulSoup(substack_data.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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