langchain/libs/community/langchain_community/document_loaders/web_base.py
Bagatur ed58eeb9c5
community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463)
Moved the following modules to new package langchain-community in a backwards compatible fashion:

```
mv langchain/langchain/adapters community/langchain_community
mv langchain/langchain/callbacks community/langchain_community/callbacks
mv langchain/langchain/chat_loaders community/langchain_community
mv langchain/langchain/chat_models community/langchain_community
mv langchain/langchain/document_loaders community/langchain_community
mv langchain/langchain/docstore community/langchain_community
mv langchain/langchain/document_transformers community/langchain_community
mv langchain/langchain/embeddings community/langchain_community
mv langchain/langchain/graphs community/langchain_community
mv langchain/langchain/llms community/langchain_community
mv langchain/langchain/memory/chat_message_histories community/langchain_community
mv langchain/langchain/retrievers community/langchain_community
mv langchain/langchain/storage community/langchain_community
mv langchain/langchain/tools community/langchain_community
mv langchain/langchain/utilities community/langchain_community
mv langchain/langchain/vectorstores community/langchain_community
mv langchain/langchain/agents/agent_toolkits community/langchain_community
mv langchain/langchain/cache.py community/langchain_community
mv langchain/langchain/adapters community/langchain_community
mv langchain/langchain/callbacks community/langchain_community/callbacks
mv langchain/langchain/chat_loaders community/langchain_community
mv langchain/langchain/chat_models community/langchain_community
mv langchain/langchain/document_loaders community/langchain_community
mv langchain/langchain/docstore community/langchain_community
mv langchain/langchain/document_transformers community/langchain_community
mv langchain/langchain/embeddings community/langchain_community
mv langchain/langchain/graphs community/langchain_community
mv langchain/langchain/llms community/langchain_community
mv langchain/langchain/memory/chat_message_histories community/langchain_community
mv langchain/langchain/retrievers community/langchain_community
mv langchain/langchain/storage community/langchain_community
mv langchain/langchain/tools community/langchain_community
mv langchain/langchain/utilities community/langchain_community
mv langchain/langchain/vectorstores community/langchain_community
mv langchain/langchain/agents/agent_toolkits community/langchain_community
mv langchain/langchain/cache.py community/langchain_community
```

Moved the following to core
```
mv langchain/langchain/utils/json_schema.py core/langchain_core/utils
mv langchain/langchain/utils/html.py core/langchain_core/utils
mv langchain/langchain/utils/strings.py core/langchain_core/utils
cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py
rm langchain/langchain/utils/env.py
```

See .scripts/community_split/script_integrations.sh for all changes
2023-12-11 13:53:30 -08:00

268 lines
9.9 KiB
Python

"""Web base loader class."""
import asyncio
import logging
import warnings
from typing import Any, Dict, Iterator, List, Optional, Sequence, Union
import aiohttp
import requests
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
logger = logging.getLogger(__name__)
default_header_template = {
"User-Agent": "",
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*"
";q=0.8",
"Accept-Language": "en-US,en;q=0.5",
"Referer": "https://www.google.com/",
"DNT": "1",
"Connection": "keep-alive",
"Upgrade-Insecure-Requests": "1",
}
def _build_metadata(soup: Any, url: str) -> dict:
"""Build metadata from BeautifulSoup output."""
metadata = {"source": url}
if title := soup.find("title"):
metadata["title"] = title.get_text()
if description := soup.find("meta", attrs={"name": "description"}):
metadata["description"] = description.get("content", "No description found.")
if html := soup.find("html"):
metadata["language"] = html.get("lang", "No language found.")
return metadata
class WebBaseLoader(BaseLoader):
"""Load HTML pages using `urllib` and parse them with `BeautifulSoup'."""
def __init__(
self,
web_path: Union[str, Sequence[str]] = "",
header_template: Optional[dict] = None,
verify_ssl: bool = True,
proxies: Optional[dict] = None,
continue_on_failure: bool = False,
autoset_encoding: bool = True,
encoding: Optional[str] = None,
web_paths: Sequence[str] = (),
requests_per_second: int = 2,
default_parser: str = "html.parser",
requests_kwargs: Optional[Dict[str, Any]] = None,
raise_for_status: bool = False,
bs_get_text_kwargs: Optional[Dict[str, Any]] = None,
bs_kwargs: Optional[Dict[str, Any]] = None,
session: Any = None,
) -> None:
"""Initialize loader.
Args:
web_paths: Web paths to load from.
requests_per_second: Max number of concurrent requests to make.
default_parser: Default parser to use for BeautifulSoup.
requests_kwargs: kwargs for requests
raise_for_status: Raise an exception if http status code denotes an error.
bs_get_text_kwargs: kwargs for beatifulsoup4 get_text
bs_kwargs: kwargs for beatifulsoup4 web page parsing
"""
# web_path kept for backwards-compatibility.
if web_path and web_paths:
raise ValueError(
"Received web_path and web_paths. Only one can be specified. "
"web_path is deprecated, web_paths should be used."
)
if web_paths:
self.web_paths = list(web_paths)
elif isinstance(web_path, str):
self.web_paths = [web_path]
elif isinstance(web_path, Sequence):
self.web_paths = list(web_path)
else:
raise TypeError(
f"web_path must be str or Sequence[str] got ({type(web_path)}) or"
f" web_paths must be Sequence[str] got ({type(web_paths)})"
)
self.requests_per_second = requests_per_second
self.default_parser = default_parser
self.requests_kwargs = requests_kwargs or {}
self.raise_for_status = raise_for_status
self.bs_get_text_kwargs = bs_get_text_kwargs or {}
self.bs_kwargs = bs_kwargs or {}
if session:
self.session = session
else:
session = requests.Session()
header_template = header_template or default_header_template.copy()
if not header_template.get("User-Agent"):
try:
from fake_useragent import UserAgent
header_template["User-Agent"] = UserAgent().random
except ImportError:
logger.info(
"fake_useragent not found, using default user agent."
"To get a realistic header for requests, "
"`pip install fake_useragent`."
)
session.headers = dict(header_template)
session.verify = verify_ssl
if proxies:
session.proxies.update(proxies)
self.session = session
self.continue_on_failure = continue_on_failure
self.autoset_encoding = autoset_encoding
self.encoding = encoding
@property
def web_path(self) -> str:
if len(self.web_paths) > 1:
raise ValueError("Multiple webpaths found.")
return self.web_paths[0]
async def _fetch(
self, url: str, retries: int = 3, cooldown: int = 2, backoff: float = 1.5
) -> str:
async with aiohttp.ClientSession() as session:
for i in range(retries):
try:
async with session.get(
url,
headers=self.session.headers,
ssl=None if self.session.verify else False,
) as response:
return await response.text()
except aiohttp.ClientConnectionError as e:
if i == retries - 1:
raise
else:
logger.warning(
f"Error fetching {url} with attempt "
f"{i + 1}/{retries}: {e}. Retrying..."
)
await asyncio.sleep(cooldown * backoff**i)
raise ValueError("retry count exceeded")
async def _fetch_with_rate_limit(
self, url: str, semaphore: asyncio.Semaphore
) -> str:
async with semaphore:
try:
return await self._fetch(url)
except Exception as e:
if self.continue_on_failure:
logger.warning(
f"Error fetching {url}, skipping due to"
f" continue_on_failure=True"
)
return ""
logger.exception(
f"Error fetching {url} and aborting, use continue_on_failure=True "
"to continue loading urls after encountering an error."
)
raise e
async def fetch_all(self, urls: List[str]) -> Any:
"""Fetch all urls concurrently with rate limiting."""
semaphore = asyncio.Semaphore(self.requests_per_second)
tasks = []
for url in urls:
task = asyncio.ensure_future(self._fetch_with_rate_limit(url, semaphore))
tasks.append(task)
try:
from tqdm.asyncio import tqdm_asyncio
return await tqdm_asyncio.gather(
*tasks, desc="Fetching pages", ascii=True, mininterval=1
)
except ImportError:
warnings.warn("For better logging of progress, `pip install tqdm`")
return await asyncio.gather(*tasks)
@staticmethod
def _check_parser(parser: str) -> None:
"""Check that parser is valid for bs4."""
valid_parsers = ["html.parser", "lxml", "xml", "lxml-xml", "html5lib"]
if parser not in valid_parsers:
raise ValueError(
"`parser` must be one of " + ", ".join(valid_parsers) + "."
)
def scrape_all(self, urls: List[str], parser: Union[str, None] = None) -> List[Any]:
"""Fetch all urls, then return soups for all results."""
from bs4 import BeautifulSoup
results = asyncio.run(self.fetch_all(urls))
final_results = []
for i, result in enumerate(results):
url = urls[i]
if parser is None:
if url.endswith(".xml"):
parser = "xml"
else:
parser = self.default_parser
self._check_parser(parser)
final_results.append(BeautifulSoup(result, parser, **self.bs_kwargs))
return final_results
def _scrape(
self,
url: str,
parser: Union[str, None] = None,
bs_kwargs: Optional[dict] = None,
) -> Any:
from bs4 import BeautifulSoup
if parser is None:
if url.endswith(".xml"):
parser = "xml"
else:
parser = self.default_parser
self._check_parser(parser)
html_doc = self.session.get(url, **self.requests_kwargs)
if self.raise_for_status:
html_doc.raise_for_status()
if self.encoding is not None:
html_doc.encoding = self.encoding
elif self.autoset_encoding:
html_doc.encoding = html_doc.apparent_encoding
return BeautifulSoup(html_doc.text, parser, **(bs_kwargs or {}))
def scrape(self, parser: Union[str, None] = None) -> Any:
"""Scrape data from webpage and return it in BeautifulSoup format."""
if parser is None:
parser = self.default_parser
return self._scrape(self.web_path, parser=parser, bs_kwargs=self.bs_kwargs)
def lazy_load(self) -> Iterator[Document]:
"""Lazy load text from the url(s) in web_path."""
for path in self.web_paths:
soup = self._scrape(path, bs_kwargs=self.bs_kwargs)
text = soup.get_text(**self.bs_get_text_kwargs)
metadata = _build_metadata(soup, path)
yield Document(page_content=text, metadata=metadata)
def load(self) -> List[Document]:
"""Load text from the url(s) in web_path."""
return list(self.lazy_load())
def aload(self) -> List[Document]:
"""Load text from the urls in web_path async into Documents."""
results = self.scrape_all(self.web_paths)
docs = []
for path, soup in zip(self.web_paths, results):
text = soup.get_text(**self.bs_get_text_kwargs)
metadata = _build_metadata(soup, path)
docs.append(Document(page_content=text, metadata=metadata))
return docs