id stringlengths 14 16 | text stringlengths 4 1.28k | source stringlengths 54 121 |
|---|---|---|
2fa1f6e912af-0 | Source code for langchain.document_loaders.readthedocs
"""Loader that loads ReadTheDocs documentation directory dump."""
from pathlib import Path
from typing import Any, List, Optional, Tuple, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class ReadT... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/readthedocs.html |
2fa1f6e912af-1 | `<main id="main-content>`, <`div role="main>`, and `<article role="main">`. You
can also define your own html tags by passing custom_html_tag, e.g.
`("div", "class=main")`. The loader iterates html tags with the order of
custom html tags (if exists) and default html tags. If any of the tags is n... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/readthedocs.html |
2fa1f6e912af-2 | except ImportError:
raise ImportError(
"Could not import python packages. "
"Please install it with `pip install beautifulsoup4`. "
)
try:
_ = BeautifulSoup(
"<html><body>Parser builder library test.</body></html>", **kwargs
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/readthedocs.html |
2fa1f6e912af-3 | text = self._clean_data(f.read())
metadata = {"source": str(p)}
docs.append(Document(page_content=text, metadata=metadata))
return docs
def _clean_data(self, data: str) -> str:
from bs4 import BeautifulSoup
soup = BeautifulSoup(data, **self.bs_kwargs)
# defaul... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/readthedocs.html |
2fa1f6e912af-4 | if text is not None:
text = text.get_text()
else:
text = ""
# trim empty lines
return "\n".join([t for t in text.split("\n") if t]) | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/readthedocs.html |
d17a061719e3-0 | Source code for langchain.document_loaders.twitter
"""Twitter document loader."""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Sequence, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
if TYPE_CHEC... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/twitter.html |
d17a061719e3-1 | /getting-started/getting-access-to-the-twitter-api`
to get your token. And create a v2 version of the app.
"""
def __init__(
self,
auth_handler: Union[OAuthHandler, OAuth2BearerHandler],
twitter_users: Sequence[str],
number_tweets: Optional[int] = 100,
):
self.aut... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/twitter.html |
d17a061719e3-2 | user = api.get_user(screen_name=username)
docs = self._format_tweets(tweets, user)
results.extend(docs)
return results
def _format_tweets(
self, tweets: List[Dict[str, Any]], user_info: dict
) -> Iterable[Document]:
"""Format tweets into a string."""
for t... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/twitter.html |
d17a061719e3-3 | ) -> TwitterTweetLoader:
"""Create a TwitterTweetLoader from OAuth2 bearer token."""
tweepy = _dependable_tweepy_import()
auth = tweepy.OAuth2BearerHandler(oauth2_bearer_token)
return cls(
auth_handler=auth,
twitter_users=twitter_users,
number_tweets=n... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/twitter.html |
d17a061719e3-4 | auth = tweepy.OAuthHandler(
access_token=access_token,
access_token_secret=access_token_secret,
consumer_key=consumer_key,
consumer_secret=consumer_secret,
)
return cls(
auth_handler=auth,
twitter_users=twitter_users,
nu... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/twitter.html |
acdaad712896-0 | Source code for langchain.document_loaders.iugu
"""Loader that fetches data from IUGU"""
import json
import urllib.request
from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.utils import get_from_env, stringify_dict
IU... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/iugu.html |
acdaad712896-1 | def __init__(self, resource: str, api_token: Optional[str] = None) -> None:
self.resource = resource
api_token = api_token or get_from_env("api_token", "IUGU_API_TOKEN")
self.headers = {"Authorization": f"Bearer {api_token}"}
def _make_request(self, url: str) -> List[Document]:
reque... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/iugu.html |
acdaad712896-2 | return self._make_request(endpoint)
[docs] def load(self) -> List[Document]:
return self._get_resource() | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/iugu.html |
27d6c2a83a3a-0 | Source code for langchain.document_loaders.reddit
"""Reddit document loader."""
from __future__ import annotations
from typing import TYPE_CHECKING, Iterable, List, Optional, Sequence
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
if TYPE_CHECKING:
import pra... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/reddit.html |
27d6c2a83a3a-1 | client_id: str,
client_secret: str,
user_agent: str,
search_queries: Sequence[str],
mode: str,
categories: Sequence[str] = ["new"],
number_posts: Optional[int] = 10,
):
self.client_id = client_id
self.client_secret = client_secret
self.user_age... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/reddit.html |
27d6c2a83a3a-2 | if self.mode == "subreddit":
for search_query in self.search_queries:
for category in self.categories:
docs = self._subreddit_posts_loader(
search_query=search_query, category=category, reddit=reddit
)
result... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/reddit.html |
27d6c2a83a3a-3 | ) -> Iterable[Document]:
subreddit = reddit.subreddit(search_query)
method = getattr(subreddit, category)
cat_posts = method(limit=self.number_posts)
"""Format reddit posts into a string."""
for post in cat_posts:
metadata = {
"post_subreddit": post.su... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/reddit.html |
27d6c2a83a3a-4 | method = getattr(user.submissions, category)
cat_posts = method(limit=self.number_posts)
"""Format reddit posts into a string."""
for post in cat_posts:
metadata = {
"post_subreddit": post.subreddit_name_prefixed,
"post_category": category,
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/reddit.html |
a1dc0920411c-0 | Source code for langchain.document_loaders.azure_blob_storage_container
"""Loading logic for loading documents from an Azure Blob Storage container."""
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.azure_blob_storage_file import (
AzureBlobStorageFileLoader... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/azure_blob_storage_container.html |
a1dc0920411c-1 | except ImportError as exc:
raise ValueError(
"Could not import azure storage blob python package. "
"Please install it with `pip install azure-storage-blob`."
) from exc
container = ContainerClient.from_connection_string(
conn_str=self.conn_str... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/azure_blob_storage_container.html |
fa0e6b2af086-0 | Source code for langchain.document_loaders.markdown
"""Loader that loads Markdown files."""
from typing import List
from langchain.document_loaders.unstructured import UnstructuredFileLoader
[docs]class UnstructuredMarkdownLoader(UnstructuredFileLoader):
"""Loader that uses unstructured to load markdown files."""
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/markdown.html |
fa0e6b2af086-1 | raise ValueError(
f"You are on unstructured version {__unstructured_version__}. "
"Partitioning markdown files is only supported in unstructured>=0.4.16."
)
return partition_md(filename=self.file_path, **self.unstructured_kwargs) | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/markdown.html |
90ad658aa9fc-0 | Source code for langchain.document_loaders.stripe
"""Loader that fetches data from Stripe"""
import json
import urllib.request
from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.utils import get_from_env, stringify_dic... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/stripe.html |
90ad658aa9fc-1 | [docs]class StripeLoader(BaseLoader):
"""Loader that fetches data from Stripe."""
def __init__(self, resource: str, access_token: Optional[str] = None) -> None:
self.resource = resource
access_token = access_token or get_from_env(
"access_token", "STRIPE_ACCESS_TOKEN"
)
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/stripe.html |
90ad658aa9fc-2 | endpoint = STRIPE_ENDPOINTS.get(self.resource)
if endpoint is None:
return []
return self._make_request(endpoint)
[docs] def load(self) -> List[Document]:
return self._get_resource() | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/stripe.html |
1da3e49089aa-0 | Source code for langchain.document_loaders.ifixit
"""Loader that loads iFixit data."""
from typing import List, Optional
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.web_base import WebBaseLoader
IFIXIT_BASE_URL =... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
1da3e49089aa-1 | and wikis from devices on iFixit using their open APIs and web scraping.
"""
def __init__(self, web_path: str):
"""Initialize with web path."""
if not web_path.startswith("https://www.ifixit.com"):
raise ValueError("web path must start with 'https://www.ifixit.com'")
path = w... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
1da3e49089aa-2 | self.page_type = pieces[0] if pieces[0] != "Teardown" else "Guide"
if self.page_type == "Guide" or self.page_type == "Answers":
self.id = pieces[2]
else:
self.id = pieces[1]
self.web_path = web_path
[docs] def load(self) -> List[Document]:
if self.page_type == ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
1da3e49089aa-3 | res = requests.get(
IFIXIT_BASE_URL + "/suggest/" + query + "?doctypes=" + doc_type
)
if res.status_code != 200:
raise ValueError(
'Could not load suggestions for "' + query + '"\n' + res.json()
)
data = res.json()
results = data["resul... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
1da3e49089aa-4 | ) -> List[Document]:
loader = WebBaseLoader(self.web_path if url_override is None else url_override)
soup = loader.scrape()
output = []
title = soup.find("h1", "post-title").text
output.append("# " + title)
output.append(soup.select_one(".post-content .post-text").text.st... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
1da3e49089aa-5 | else:
output.append("\n### Other Answer")
output += [
a.text.strip() for a in answer.select(".post-content .post-text")
]
output.append("\n")
text = "\n".join(output).strip()
metadata = {"source": self.web_path, "title": title}
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
1da3e49089aa-6 | [
data[key]
for key in ["title", "description", "contents_raw"]
if key in data
]
).strip()
metadata = {"source": self.web_path, "title": data["title"]}
documents.append(Document(page_content=text, metadata=metadata))
if include_... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
1da3e49089aa-7 | else:
url = url_override
res = requests.get(url)
if res.status_code != 200:
raise ValueError(
"Could not load guide: " + self.web_path + "\n" + res.json()
)
data = res.json()
doc_parts = ["# " + data["title"], data["introduction_raw"]]
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
1da3e49089aa-8 | for part in data["parts"]:
doc_parts.append("\n - " + part["text"])
for row in data["steps"]:
doc_parts.append(
"\n\n## "
+ (
row["title"]
if row["title"] != ""
else "Step {}".format(row["orde... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
1e9f6243de05-0 | Source code for langchain.document_loaders.notiondb
"""Notion DB loader for langchain"""
from typing import Any, Dict, List, Optional
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
NOTION_BASE_URL = "https://api.notion.com/v1"
DATABASE_URL = NOTIO... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/notiondb.html |
1e9f6243de05-1 | """
def __init__(
self,
integration_token: str,
database_id: str,
request_timeout_sec: Optional[int] = 10,
) -> None:
"""Initialize with parameters."""
if not integration_token:
raise ValueError("integration_token must be provided")
if not data... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/notiondb.html |
1e9f6243de05-2 | List[Document]: List of documents.
"""
page_summaries = self._retrieve_page_summaries()
return list(self.load_page(page_summary) for page_summary in page_summaries)
def _retrieve_page_summaries(
self, query_dict: Dict[str, Any] = {"page_size": 100}
) -> List[Dict[str, Any]]:
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/notiondb.html |
1e9f6243de05-3 | return pages
[docs] def load_page(self, page_summary: Dict[str, Any]) -> Document:
"""Read a page."""
page_id = page_summary["id"]
# load properties as metadata
metadata: Dict[str, Any] = {}
for prop_name, prop_data in page_summary["properties"].items():
prop_type ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/notiondb.html |
1e9f6243de05-4 | if prop_data["multi_select"]
else []
)
elif prop_type == "url":
value = prop_data["url"]
else:
value = None
metadata[prop_name.lower()] = value
metadata["id"] = page_id
return Document(page_content=se... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/notiondb.html |
1e9f6243de05-5 | continue
cur_result_text_arr: List[str] = []
for rich_text in result_obj["rich_text"]:
if "text" in rich_text:
cur_result_text_arr.append(
"\t" * num_tabs + rich_text["text"]["content"]
)
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/notiondb.html |
1e9f6243de05-6 | method,
url,
headers=self.headers,
json=query_dict,
timeout=self.request_timeout_sec,
)
res.raise_for_status()
return res.json() | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/notiondb.html |
205a4f50c1b8-0 | Source code for langchain.document_loaders.bibtex
import logging
import re
from pathlib import Path
from typing import Any, Iterator, List, Mapping, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.utilities.bibtex import BibtexparserWrapper... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/bibtex.html |
205a4f50c1b8-1 | file_path: str,
*,
parser: Optional[BibtexparserWrapper] = None,
max_docs: Optional[int] = None,
max_content_chars: Optional[int] = 4_000,
load_extra_metadata: bool = False,
file_pattern: str = r"[^:]+\.pdf",
):
"""Initialize the BibtexLoader.
Args:
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/bibtex.html |
205a4f50c1b8-2 | def _load_entry(self, entry: Mapping[str, Any]) -> Optional[Document]:
import fitz
parent_dir = Path(self.file_path).parent
# regex is useful for Zotero flavor bibtex files
file_names = self.file_regex.findall(entry.get("file", ""))
if not file_names:
return None
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/bibtex.html |
205a4f50c1b8-3 | return Document(
page_content=content,
metadata=metadata,
)
[docs] def lazy_load(self) -> Iterator[Document]:
"""Load bibtex file using bibtexparser and get the article texts plus the
article metadata.
See https://bibtexparser.readthedocs.io/en/master/
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/bibtex.html |
205a4f50c1b8-4 | doc = self._load_entry(entry)
if doc:
yield doc
[docs] def load(self) -> List[Document]:
"""Load bibtex file documents from the given bibtex file path.
See https://bibtexparser.readthedocs.io/en/master/
Args:
file_path: the path to the bibtex file
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/bibtex.html |
08768ba025bf-0 | Source code for langchain.document_loaders.slack_directory
"""Loader for documents from a Slack export."""
import json
import zipfile
from pathlib import Path
from typing import Dict, List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class Slack... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/slack_directory.html |
08768ba025bf-1 | self.workspace_url = workspace_url
self.channel_id_map = self._get_channel_id_map(self.zip_path)
@staticmethod
def _get_channel_id_map(zip_path: Path) -> Dict[str, str]:
"""Get a dictionary mapping channel names to their respective IDs."""
with zipfile.ZipFile(zip_path, "r") as zip_file:... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/slack_directory.html |
08768ba025bf-2 | channel_name = Path(channel_path).parent.name
if not channel_name:
continue
if channel_path.endswith(".json"):
messages = self._read_json(zip_file, channel_path)
for message in messages:
document = self._... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/slack_directory.html |
08768ba025bf-3 | Args:
message (dict): A message in the form of a dictionary.
channel_name (str): The name of the channel the message belongs to.
Returns:
Document: A Document object representing the message.
"""
text = message.get("text", "")
metadata = self._get_mess... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/slack_directory.html |
08768ba025bf-4 | "timestamp": timestamp,
"user": user,
}
def _get_message_source(self, channel_name: str, user: str, timestamp: str) -> str:
"""
Get the message source as a string.
Args:
channel_name (str): The name of the channel the message belongs to.
user (str)... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/slack_directory.html |
c86265d162a0-0 | Source code for langchain.document_loaders.merge
from typing import Iterator, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class MergedDataLoader(BaseLoader):
"""Merge documents from a list of loaders"""
def __init__(self, loaders: List):
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/merge.html |
c288a836e506-0 | Source code for langchain.document_loaders.hn
"""Loader that loads HN."""
from typing import Any, List
from langchain.docstore.document import Document
from langchain.document_loaders.web_base import WebBaseLoader
[docs]class HNLoader(WebBaseLoader):
"""Load Hacker News data from either main page results or the com... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/hn.html |
c288a836e506-1 | return self.load_results(soup_info)
[docs] def load_comments(self, soup_info: Any) -> List[Document]:
"""Load comments from a HN post."""
comments = soup_info.select("tr[class='athing comtr']")
title = soup_info.select_one("tr[id='pagespace']").get("title")
return [
Docume... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/hn.html |
c288a836e506-2 | link = lineItem.find("span", {"class": "titleline"}).find("a").get("href")
title = lineItem.find("span", {"class": "titleline"}).text.strip()
metadata = {
"source": self.web_path,
"title": title,
"link": link,
"ranking": ranking,
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/hn.html |
404cf6d1cbc8-0 | Source code for langchain.document_loaders.figma
"""Loader that loads Figma files json dump."""
import json
import urllib.request
from typing import Any, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.utils import stringify_dict
[docs]class Fi... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/figma.html |
404cf6d1cbc8-1 | )
return api_url
def _get_figma_file(self) -> Any:
"""Get Figma file from Figma REST API."""
headers = {"X-Figma-Token": self.access_token}
request = urllib.request.Request(
self._construct_figma_api_url(), headers=headers
)
with urllib.request.urlopen(req... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/figma.html |
4ab6e9e87f71-0 | Source code for langchain.document_loaders.roam
"""Loader that loads Roam directory dump."""
from pathlib import Path
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class RoamLoader(BaseLoader):
"""Loader that loads Roam files fr... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/roam.html |
86c56019501c-0 | Source code for langchain.document_loaders.mhtml
"""Loader to load MHTML files, enriching metadata with page title."""
import email
import logging
from typing import Dict, List, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
logger = logging.getLogger(__nam... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/mhtml.html |
86c56019501c-1 | except ImportError:
raise ValueError(
"beautifulsoup4 package not found, please install it with "
"`pip install beautifulsoup4`"
)
self.file_path = file_path
self.open_encoding = open_encoding
if bs_kwargs is None:
bs_kwargs = {... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/mhtml.html |
86c56019501c-2 | html = part.get_payload(decode=True).decode()
soup = BeautifulSoup(html, **self.bs_kwargs)
text = soup.get_text(self.get_text_separator)
if soup.title:
title = str(soup.title.string)
else:
tit... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/mhtml.html |
e0616031f9e1-0 | Source code for langchain.document_loaders.xml
"""Loader that loads Microsoft Excel files."""
from typing import Any, List
from langchain.document_loaders.unstructured import (
UnstructuredFileLoader,
validate_unstructured_version,
)
[docs]class UnstructuredXMLLoader(UnstructuredFileLoader):
"""Loader that ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/xml.html |
65c3bedaf6e2-0 | Source code for langchain.document_loaders.obsidian
"""Loader that loads Obsidian directory dump."""
import re
from pathlib import Path
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class ObsidianLoader(BaseLoader):
"""Loader th... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/obsidian.html |
65c3bedaf6e2-1 | """Parse front matter metadata from the content and return it as a dict."""
if not self.collect_metadata:
return {}
match = self.FRONT_MATTER_REGEX.search(content)
front_matter = {}
if match:
lines = match.group(1).split("\n")
for line in lines:
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/obsidian.html |
65c3bedaf6e2-2 | """Load documents."""
ps = list(Path(self.file_path).glob("**/*.md"))
docs = []
for p in ps:
with open(p, encoding=self.encoding) as f:
text = f.read()
front_matter = self._parse_front_matter(text)
text = self._remove_front_matter(text)
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/obsidian.html |
998152b09dc7-0 | Source code for langchain.document_loaders.mediawikidump
"""Load Data from a MediaWiki dump xml."""
from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class MWDumpLoader(BaseLoader):
"""
Load MediaWiki dump from XML fil... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/mediawikidump.html |
998152b09dc7-1 | :type file_path: str
:param encoding: Charset encoding, defaults to "utf8"
:type encoding: str, optional
"""
def __init__(self, file_path: str, encoding: Optional[str] = "utf8"):
"""Initialize with file path."""
self.file_path = file_path
self.encoding = encoding
[docs] def lo... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/mediawikidump.html |
998152b09dc7-2 | metadata = {"source": page.title}
docs.append(Document(page_content=text, metadata=metadata))
return docs | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/mediawikidump.html |
b8acc8b50fa2-0 | Source code for langchain.document_loaders.recursive_url_loader
from typing import Iterator, List, Optional, Set
from urllib.parse import urlparse
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class RecursiveUrlLoader(BaseLoader):
"""Lo... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/recursive_url_loader.html |
b8acc8b50fa2-1 | except ImportError:
raise ImportError(
"The BeautifulSoup package is required for the RecursiveUrlLoader."
)
# Construct the base and parent URLs
parsed_url = urlparse(url)
base_url = f"{parsed_url.scheme}://{parsed_url.netloc}"
parent_url = "/".jo... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/recursive_url_loader.html |
b8acc8b50fa2-2 | ):
return visited
# Get all links that are relative to the root of the website
response = requests.get(url)
soup = BeautifulSoup(response.text, "html.parser")
all_links = [link.get("href") for link in soup.find_all("a")]
# Extract only the links that are children of t... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/recursive_url_loader.html |
b8acc8b50fa2-3 | # Check all unvisited links
if link not in visited:
visited.add(link)
# If the link is a directory (w/ children) then visit it
if link.endswith("/"):
visited.update(self.get_child_links_recursive(link, visited))
return visited
[docs... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/recursive_url_loader.html |
2d3aff8eb1d6-0 | Source code for langchain.document_loaders.json_loader
"""Loader that loads data from JSON."""
import json
from pathlib import Path
from typing import Any, Callable, Dict, List, Optional, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class JSONLoader... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/json_loader.html |
2d3aff8eb1d6-1 | jq_schema: str,
content_key: Optional[str] = None,
metadata_func: Optional[Callable[[Dict, Dict], Dict]] = None,
text_content: bool = True,
):
"""Initialize the JSONLoader.
Args:
file_path (Union[str, Path]): The path to the JSON file.
jq_schema (str):... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/json_loader.html |
2d3aff8eb1d6-2 | string format, default to True
"""
try:
import jq # noqa:F401
except ImportError:
raise ImportError(
"jq package not found, please install it with `pip install jq`"
)
self.file_path = Path(file_path).resolve()
self._jq_schema =... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/json_loader.html |
2d3aff8eb1d6-3 | self._validate_content_key(data)
docs = []
for i, sample in enumerate(data, 1):
metadata = dict(
source=str(self.file_path),
seq_num=i,
)
text = self._get_text(sample=sample, metadata=metadata)
docs.append(Document(page_cont... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/json_loader.html |
2d3aff8eb1d6-4 | else:
content = sample
if self._text_content and not isinstance(content, str):
raise ValueError(
f"Expected page_content is string, got {type(content)} instead. \
Set `text_content=False` if the desired input for \
`page_content` is... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/json_loader.html |
2d3aff8eb1d6-5 | raise ValueError(
f"Expected the jq schema to result in a list of objects (dict), \
so sample must be a dict but got `{type(sample)}`"
)
if sample.get(self._content_key) is None:
raise ValueError(
f"Expected the jq schema to result in a... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/json_loader.html |
b1f5b500df95-0 | Source code for langchain.document_loaders.trello
"""Loader that loads cards from Trello"""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, List, Literal, Optional, Tuple
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.util... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/trello.html |
b1f5b500df95-1 | extra_metadata: Tuple[str, ...] = ("due_date", "labels", "list", "closed"),
):
"""Initialize Trello loader.
Args:
client: Trello API client.
board_name: The name of the Trello board.
include_card_name: Whether to include the name of the card in the document.
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/trello.html |
b1f5b500df95-2 | self.board_name = board_name
self.include_card_name = include_card_name
self.include_comments = include_comments
self.include_checklist = include_checklist
self.extra_metadata = extra_metadata
self.card_filter = card_filter
[docs] @classmethod
def from_credentials(
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/trello.html |
b1f5b500df95-3 | TRELLO_TOKEN.
include_card_name: Whether to include the name of the card in the document.
include_comments: Whether to include the comments on the card in the
document.
include_checklist: Whether to include the checklist on the card in the
document.
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/trello.html |
b1f5b500df95-4 | ) from ex
api_key = api_key or get_from_env("api_key", "TRELLO_API_KEY")
token = token or get_from_env("token", "TRELLO_TOKEN")
client = TrelloClient(api_key=api_key, token=token)
return cls(client, board_name, **kwargs)
[docs] def load(self) -> List[Document]:
"""Loads all ca... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/trello.html |
b1f5b500df95-5 | ) from ex
board = self._get_board()
# Create a dictionary with the list IDs as keys and the list names as values
list_dict = {list_item.id: list_item.name for list_item in board.list_lists()}
# Get Cards on the board
cards = board.get_cards(card_filter=self.card_filter)
r... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/trello.html |
b1f5b500df95-6 | from bs4 import BeautifulSoup # type: ignore
text_content = ""
if self.include_card_name:
text_content = card.name + "\n"
if card.description.strip():
text_content += BeautifulSoup(card.description, "lxml").get_text()
if self.include_checklist:
# Get ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/trello.html |
b1f5b500df95-7 | for comment in card.comments
]
text_content += "Comments:" + "\n".join(comments)
# Default metadata fields
metadata = {
"title": card.name,
"id": card.id,
"url": card.url,
}
# Extra metadata fields. Card object is not subscripta... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/trello.html |
84697635f46f-0 | Source code for langchain.document_loaders.acreom
"""Loader that loads acreom vault from a directory."""
import re
from pathlib import Path
from typing import Iterator, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class AcreomLoader(BaseLoader):
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/acreom.html |
84697635f46f-1 | if not self.collect_metadata:
return {}
match = self.FRONT_MATTER_REGEX.search(content)
front_matter = {}
if match:
lines = match.group(1).split("\n")
for line in lines:
if ":" in line:
key, value = line.split(":", 1)
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/acreom.html |
84697635f46f-2 | # do not contribute to the context of current document
content = re.sub("\s*-\s\[\s\]\s.*|\s*\[\s\]\s.*", "", content) # rm tasks
content = re.sub("#", "", content) # rm hashtags
content = re.sub("\[\[.*?\]\]", "", content) # rm doclinks
return content
[docs] def lazy_load(self) ->... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/acreom.html |
84697635f46f-3 | "source": str(p.name),
"path": str(p),
**front_matter,
}
yield Document(page_content=text, metadata=metadata)
[docs] def load(self) -> List[Document]:
return list(self.lazy_load()) | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/acreom.html |
4f5cacd0e13c-0 | Source code for langchain.document_loaders.image
"""Loader that loads image files."""
from typing import List
from langchain.document_loaders.unstructured import UnstructuredFileLoader
[docs]class UnstructuredImageLoader(UnstructuredFileLoader):
"""Loader that uses unstructured to load image files, such as PNGs and... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/image.html |
c6e1b2c131ae-0 | Source code for langchain.document_loaders.wikipedia
from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.utilities.wikipedia import WikipediaAPIWrapper
[docs]class WikipediaLoader(BaseLoader):
"""Loads a query resul... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/wikipedia.html |
c6e1b2c131ae-1 | Args:
query (str): The query string to search on Wikipedia.
lang (str, optional): The language code for the Wikipedia language edition.
Defaults to "en".
load_max_docs (int, optional): The maximum number of documents to load.
Defaults to 100.
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/wikipedia.html |
c6e1b2c131ae-2 | """
Loads the query result from Wikipedia into a list of Documents.
Returns:
List[Document]: A list of Document objects representing the loaded
Wikipedia pages.
"""
client = WikipediaAPIWrapper(
lang=self.lang,
top_k_results=self.load_m... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/wikipedia.html |
81c42cbcf0ef-0 | Source code for langchain.document_loaders.imsdb
"""Loader that loads IMSDb."""
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.web_base import WebBaseLoader
[docs]class IMSDbLoader(WebBaseLoader):
"""Loader that loads IMSDb webpages."""
[docs] def load(se... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/imsdb.html |
07b29e71010a-0 | Source code for langchain.document_loaders.excel
"""Loader that loads Microsoft Excel files."""
from typing import Any, List
from langchain.document_loaders.unstructured import (
UnstructuredFileLoader,
validate_unstructured_version,
)
[docs]class UnstructuredExcelLoader(UnstructuredFileLoader):
"""Loader t... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/excel.html |
4db1aa5fc4dc-0 | Source code for langchain.document_loaders.unstructured
"""Loader that uses unstructured to load files."""
import collections
from abc import ABC, abstractmethod
from typing import IO, Any, Dict, List, Sequence, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoade... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
4db1aa5fc4dc-1 | unstructured_version_tuple = tuple(
[int(x) for x in _unstructured_version.split(".")]
)
return unstructured_version_tuple >= min_version_tuple
def validate_unstructured_version(min_unstructured_version: str) -> None:
"""Raises an error if the unstructured version does not exceed the
specified m... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
4db1aa5fc4dc-2 | except ImportError:
raise ValueError(
"unstructured package not found, please install it with "
"`pip install unstructured`"
)
_valid_modes = {"single", "elements", "paged"}
if mode not in _valid_modes:
raise ValueError(
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
4db1aa5fc4dc-3 | """Load file."""
elements = self._get_elements()
if self.mode == "elements":
docs: List[Document] = list()
for element in elements:
metadata = self._get_metadata()
# NOTE(MthwRobinson) - the attribute check is for backward compatibility
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
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