langchain/libs/community/langchain_community/document_loaders/async_html.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

223 lines
7.9 KiB
Python

import asyncio
import logging
import warnings
from concurrent.futures import ThreadPoolExecutor
from typing import Any, Dict, Iterator, List, Optional, Union, cast
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 AsyncHtmlLoader(BaseLoader):
"""Load `HTML` asynchronously."""
def __init__(
self,
web_path: Union[str, List[str]],
header_template: Optional[dict] = None,
verify_ssl: Optional[bool] = True,
proxies: Optional[dict] = None,
autoset_encoding: bool = True,
encoding: Optional[str] = None,
default_parser: str = "html.parser",
requests_per_second: int = 2,
requests_kwargs: Optional[Dict[str, Any]] = None,
raise_for_status: bool = False,
ignore_load_errors: bool = False,
):
"""Initialize with a webpage path."""
# TODO: Deprecate web_path in favor of web_paths, and remove this
# left like this because there are a number of loaders that expect single
# urls
if isinstance(web_path, str):
self.web_paths = [web_path]
elif isinstance(web_path, List):
self.web_paths = web_path
headers = header_template or default_header_template
if not headers.get("User-Agent"):
try:
from fake_useragent import UserAgent
headers["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`."
)
self.session = requests.Session()
self.session.headers = dict(headers)
self.session.verify = verify_ssl
if proxies:
self.session.proxies.update(proxies)
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.autoset_encoding = autoset_encoding
self.encoding = encoding
self.ignore_load_errors = ignore_load_errors
def _fetch_valid_connection_docs(self, url: str) -> Any:
if self.ignore_load_errors:
try:
return self.session.get(url, **self.requests_kwargs)
except Exception as e:
warnings.warn(str(e))
return None
return self.session.get(url, **self.requests_kwargs)
@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(
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._fetch_valid_connection_docs(url)
if not getattr(html_doc, "ok", False):
return None
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 {}))
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:
try:
text = await response.text()
except UnicodeDecodeError:
logger.error(f"Failed to decode content from {url}")
text = ""
return text
except aiohttp.ClientConnectionError as e:
if i == retries - 1 and self.ignore_load_errors:
logger.warning(f"Error fetching {url} after {retries} retries.")
return ""
elif 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:
return await self._fetch(url)
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)
def lazy_load(self) -> Iterator[Document]:
"""Lazy load text from the url(s) in web_path."""
for doc in self.load():
yield doc
def load(self) -> List[Document]:
"""Load text from the url(s) in web_path."""
try:
# Raises RuntimeError if there is no current event loop.
asyncio.get_running_loop()
# If there is a current event loop, we need to run the async code
# in a separate loop, in a separate thread.
with ThreadPoolExecutor(max_workers=1) as executor:
future = executor.submit(asyncio.run, self.fetch_all(self.web_paths))
results = future.result()
except RuntimeError:
results = asyncio.run(self.fetch_all(self.web_paths))
docs = []
for i, text in enumerate(cast(List[str], results)):
soup = self._scrape(self.web_paths[i])
if not soup:
continue
metadata = _build_metadata(soup, self.web_paths[i])
docs.append(Document(page_content=text, metadata=metadata))
return docs