id stringlengths 14 16 | text stringlengths 31 2.41k | source stringlengths 53 121 |
|---|---|---|
a956ae3c2c32-3 | 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 all the checklist items on the card
for checklist in card.checklists... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/trello.html |
23c877fca843-0 | Source code for langchain.document_loaders.blackboard
"""Loader that loads all documents from a blackboard course."""
import contextlib
import re
from pathlib import Path
from typing import Any, List, Optional, Tuple
from urllib.parse import unquote
from langchain.docstore.document import Document
from langchain.docume... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/blackboard.html |
23c877fca843-1 | ):
"""Initialize with blackboard course url.
The BbRouter cookie is required for most blackboard courses.
Args:
blackboard_course_url: Blackboard course url.
bbrouter: BbRouter cookie.
load_all_recursively: If True, load all documents recursively.
... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/blackboard.html |
23c877fca843-2 | """Load data into document objects.
Returns:
List of documents.
"""
if self.load_all_recursively:
soup_info = self.scrape()
self.folder_path = self._get_folder_path(soup_info)
relative_paths = self._get_paths(soup_info)
documents = []
... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/blackboard.html |
23c877fca843-3 | # Get the folder path
folder_path = Path(".") / course_name_clean
return str(folder_path)
def _get_documents(self, soup: Any) -> List[Document]:
"""Fetch content from page and return Documents.
Args:
soup: BeautifulSoup4 soup object.
Returns:
List of d... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/blackboard.html |
23c877fca843-4 | Path(self.folder_path).mkdir(parents=True, exist_ok=True)
# Download all attachments
for attachment in attachments:
self.download(attachment)
def _load_documents(self) -> List[Document]:
"""Load all documents in the folder.
Returns:
List of documents.
... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/blackboard.html |
23c877fca843-5 | """Parse the filename from a url.
Args:
url: Url to parse the filename from.
Returns:
The filename.
"""
if (url_path := Path(url)) and url_path.suffix == ".pdf":
return url_path.name
else:
return self._parse_filename_from_url(url)
... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/blackboard.html |
c4cf076174ff-0 | Source code for langchain.document_loaders.tencent_cos_file
"""Loading logic for loading documents from Tencent Cloud COS file."""
import os
import tempfile
from typing import Any, Iterator, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.docum... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/tencent_cos_file.html |
c4cf076174ff-1 | )
loader = UnstructuredFileLoader(file_path)
# UnstructuredFileLoader not implement lazy_load yet
return iter(loader.load()) | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/tencent_cos_file.html |
1b3cba983cbf-0 | Source code for langchain.document_loaders.diffbot
"""Loader that uses Diffbot to load webpages in text format."""
import logging
from typing import Any, List
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
logger = logging.getLogger(__name__)
[doc... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/diffbot.html |
1b3cba983cbf-1 | text = data["objects"][0]["text"] if "objects" in data else ""
metadata = {"source": url}
docs.append(Document(page_content=text, metadata=metadata))
except Exception as e:
if self.continue_on_failure:
logger.error(f"Error fetching or proce... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/diffbot.html |
ebb2969f6aeb-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/stable/_modules/langchain/document_loaders/notiondb.html |
ebb2969f6aeb-1 | Returns:
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[... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/notiondb.html |
ebb2969f6aeb-2 | 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/stable/_modules/langchain/document_loaders/notiondb.html |
ebb2969f6aeb-3 | 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/stable/_modules/langchain/document_loaders/notiondb.html |
3277bff3e595-0 | Source code for langchain.document_loaders.onedrive
"""Loader that loads data from OneDrive"""
from __future__ import annotations
import logging
import os
import tempfile
from enum import Enum
from pathlib import Path
from typing import TYPE_CHECKING, Dict, List, Optional, Type, Union
from pydantic import BaseModel, Ba... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/onedrive.html |
3277bff3e595-1 | mime_types_mapping[
file_type.value
] = "application/vnd.openxmlformats-officedocument.wordprocessingml.document" # noqa: E501
elif file_type.value == "pdf":
mime_types_mapping[file_type.value] = "application/pdf"
return mime_types_mapping
[docs]c... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/onedrive.html |
3277bff3e595-2 | )
account = Account(
credentials=(
self.settings.client_id,
self.settings.client_secret.get_secret_value(),
),
scopes=SCOPES,
token_backend=token_backend,
**{"raise_http_errors": False},
... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/onedrive.html |
3277bff3e595-3 | folder (Type[Folder]): The folder object to load the documents from.
Returns:
List[Document]: A list of Document objects representing
the loaded documents.
"""
docs = []
file_types = _SupportedFileTypes(file_types=["doc", "docx", "pdf"])
file_mime_types = ... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/onedrive.html |
3277bff3e595-4 | logging.warning(
"There isn't a file with "
f"object_id {object_id} in drive {drive}."
)
continue
if file.is_file:
if file.mime_type in list(file_mime_types.values()):
load... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/onedrive.html |
eb3d3157a888-0 | Source code for langchain.document_loaders.arxiv
from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.utilities.arxiv import ArxivAPIWrapper
[docs]class ArxivLoader(BaseLoader):
"""Loads a query result from arxiv.org... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/arxiv.html |
d0a5f55e6fcd-0 | Source code for langchain.document_loaders.apify_dataset
"""Logic for loading documents from Apify datasets."""
from typing import Any, Callable, Dict, List
from pydantic import BaseModel, root_validator
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class ... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/apify_dataset.html |
d0a5f55e6fcd-1 | )
return values
[docs] def load(self) -> List[Document]:
"""Load documents."""
dataset_items = (
self.apify_client.dataset(self.dataset_id).list_items(clean=True).items
)
return list(map(self.dataset_mapping_function, dataset_items)) | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/apify_dataset.html |
09c78b37945c-0 | Source code for langchain.document_loaders.airtable
from typing import Iterator, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class AirtableLoader(BaseLoader):
"""Loader for Airtable tables."""
def __init__(self, api_token: str, table_id: str... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/airtable.html |
27758948a7ed-0 | Source code for langchain.document_loaders.github
from abc import ABC
from datetime import datetime
from typing import Dict, Iterator, List, Literal, Optional, Union
import requests
from pydantic import BaseModel, root_validator, validator
from langchain.docstore.document import Document
from langchain.document_loaders... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/github.html |
27758948a7ed-1 | state: Optional[Literal["open", "closed", "all"]] = None
"""Filter on issue state. Can be one of: 'open', 'closed', 'all'."""
assignee: Optional[str] = None
"""Filter on assigned user. Pass 'none' for no user and '*' for any user."""
creator: Optional[str] = None
"""Filter on the user that created t... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/github.html |
27758948a7ed-2 | [docs] def lazy_load(self) -> Iterator[Document]:
"""
Get issues of a GitHub repository.
Returns:
A list of Documents with attributes:
- page_content
- metadata
- url
- title
- creator
... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/github.html |
27758948a7ed-3 | """Create Document objects from a list of GitHub issues."""
metadata = {
"url": issue["html_url"],
"title": issue["title"],
"creator": issue["user"]["login"],
"created_at": issue["created_at"],
"comments": issue["comments"],
"state": issue[... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/github.html |
27758948a7ed-4 | return query_params
@property
def url(self) -> str:
return f"https://api.github.com/repos/{self.repo}/issues?{self.query_params}" | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/github.html |
225539bd6353-0 | Source code for langchain.document_loaders.chatgpt
"""Load conversations from ChatGPT data export"""
import datetime
import json
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
def concatenate_rows(message: dict, title: str) -> str:
"""... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/chatgpt.html |
225539bd6353-1 | if not (
idx == 0
and messages[key]["message"]["author"]["role"] == "system"
)
]
)
metadata = {"source": str(self.log_file)}
documents.append(Document(page_content=text, metadata=metadata))
re... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/chatgpt.html |
6dcb746633a4-0 | 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/stable/_modules/langchain/document_loaders/xml.html |
32e831e9ac79-0 | Source code for langchain.document_loaders.dataframe
"""Load from Dataframe object"""
from typing import Any, Iterator, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class DataFrameLoader(BaseLoader):
"""Load Pandas DataFrames."""
def __init__... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/dataframe.html |
9e73addae985-0 | Source code for langchain.document_loaders.confluence
"""Load Data from a Confluence Space"""
import logging
from enum import Enum
from io import BytesIO
from typing import Any, Callable, Dict, List, Optional, Union
from tenacity import (
before_sleep_log,
retry,
stop_after_attempt,
wait_exponential,
)
... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/confluence.html |
9e73addae985-1 | Confluence API supports difference format of page content. The storage format is the
raw XML representation for storage. The view format is the HTML representation for
viewing with macros are rendered as though it is viewed by users. You can pass
a enum `content_format` argument to `load()` to specify the c... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/confluence.html |
9e73addae985-2 | :type min_retry_seconds: Optional[int], optional
:param max_retry_seconds: defaults to 10
:type max_retry_seconds: Optional[int], optional
:param confluence_kwargs: additional kwargs to initialize confluence with
:type confluence_kwargs: dict, optional
:raises ValueError: Errors while validating in... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/confluence.html |
9e73addae985-3 | url=url, oauth2=oauth2, cloud=cloud, **confluence_kwargs
)
elif token:
self.confluence = Confluence(
url=url, token=token, cloud=cloud, **confluence_kwargs
)
else:
self.confluence = Confluence(
url=url,
usern... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/confluence.html |
9e73addae985-4 | "keys to the oauth2 dictionary. key values should be "
"`['access_token', 'access_token_secret', 'consumer_key', 'key_cert']`"
)
if token and (api_key or username or oauth2):
errors.append(
"Cannot provide a value for `token` and a value for `api_key`, "
... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/confluence.html |
9e73addae985-5 | :type include_restricted_content: bool, optional
:param include_archived_content: Whether to include archived content,
defaults to False
:type include_archived_content: bool, optional
:param include_attachments: defaults to False
:type include_att... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/confluence.html |
9e73addae985-6 | expand=content_format.value,
)
docs += self.process_pages(
pages,
include_restricted_content,
include_attachments,
include_comments,
content_format,
ocr_languages,
)
if label:
... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/confluence.html |
9e73addae985-7 | )(self.confluence.get_page_by_id)
page = get_page(page_id=page_id, expand=content_format.value)
if not include_restricted_content and not self.is_public_page(page):
continue
doc = self.process_page(
page,
include... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/confluence.html |
9e73addae985-8 | are more docs based on the length of the returned list of pages, rather than
just checking for the presence of a `next` key in the response like this page
would have you do:
https://developer.atlassian.com/server/confluence/pagination-in-the-rest-api/
:param retrieval_method: Function us... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/confluence.html |
9e73addae985-9 | pages: List[dict],
include_restricted_content: bool,
include_attachments: bool,
include_comments: bool,
content_format: ContentFormat,
ocr_languages: Optional[str] = None,
) -> List[Document]:
"""Process a list of pages into a list of documents."""
docs = []
... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/confluence.html |
9e73addae985-10 | BeautifulSoup(comment["body"]["view"]["value"], "lxml").get_text(
" ", strip=True
)
for comment in comments
]
text = text + "".join(comment_texts)
return Document(
page_content=text,
metadata={
"t... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/confluence.html |
9e73addae985-11 | ".wordprocessingml.document"
):
text = title + self.process_doc(absolute_url)
elif media_type == "application/vnd.ms-excel":
text = title + self.process_xls(absolute_url)
elif media_type == "image/svg+xml":
text = title + self.process_s... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/confluence.html |
9e73addae985-12 | try:
import pytesseract # noqa: F401
from PIL import Image # noqa: F401
except ImportError:
raise ImportError(
"`pytesseract` or `Pillow` package not found, "
"please run `pip install pytesseract Pillow`"
)
response = self... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/confluence.html |
9e73addae985-13 | text = ""
if (
response.status_code != 200
or response.content == b""
or response.content is None
):
return text
workbook = xlrd.open_workbook(file_contents=response.content)
for sheet in workbook.sheets():
text += f"{sheet.name... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/confluence.html |
9e73addae985-14 | img_data.seek(0)
image = Image.open(img_data)
return pytesseract.image_to_string(image, lang=ocr_languages) | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/confluence.html |
ff8f7ef71aea-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/stable/_modules/langchain/document_loaders/markdown.html |
ec9535e74a8a-0 | Source code for langchain.document_loaders.url
"""Loader that uses unstructured to load HTML files."""
import logging
from typing import Any, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
logger = logging.getLogger(__name__)
[docs]class UnstructuredURLLoade... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/url.html |
ec9535e74a8a-1 | self.unstructured_kwargs = unstructured_kwargs
self.show_progress_bar = show_progress_bar
def _validate_mode(self, mode: str) -> None:
_valid_modes = {"single", "elements"}
if mode not in _valid_modes:
raise ValueError(
f"Got {mode} for `mode`, but should be one o... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/url.html |
ec9535e74a8a-2 | "Please install with 'pip install tqdm' or set "
"show_progress_bar=False."
) from e
urls = tqdm(self.urls)
else:
urls = self.urls
for url in urls:
try:
if self.__is_non_html_available():
if self.... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/url.html |
8269b7e43f80-0 | Source code for langchain.document_loaders.bilibili
import json
import re
import warnings
from typing import List, Tuple
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class BiliBiliLoader(BaseLoader):
"""Loader that loads bilibili trans... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/bilibili.html |
8269b7e43f80-1 | video_info = sync(v.get_info())
video_info.update({"url": url})
# Get subtitle url
subtitle = video_info.pop("subtitle")
sub_list = subtitle["list"]
if sub_list:
sub_url = sub_list[0]["subtitle_url"]
result = requests.get(sub_url)
raw_sub_title... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/bilibili.html |
cc2c32a21932-0 | Source code for langchain.document_loaders.hugging_face_dataset
"""Loader that loads HuggingFace datasets."""
from typing import Iterator, List, Mapping, Optional, Sequence, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class HuggingFaceDatasetLoader... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/hugging_face_dataset.html |
cc2c32a21932-1 | self.page_content_column = page_content_column
self.name = name
self.data_dir = data_dir
self.data_files = data_files
self.cache_dir = cache_dir
self.keep_in_memory = keep_in_memory
self.save_infos = save_infos
self.use_auth_token = use_auth_token
self.num... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/hugging_face_dataset.html |
540b9497356d-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/stable/_modules/langchain/document_loaders/roam.html |
d86681e165ba-0 | Source code for langchain.document_loaders.spreedly
"""Loader that fetches data from Spreedly API."""
import json
import urllib.request
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.utils import stringify_dict
SPREEDLY_ENDP... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/spreedly.html |
d86681e165ba-1 | text = stringify_dict(json_data)
metadata = {"source": url}
return [Document(page_content=text, metadata=metadata)]
def _get_resource(self) -> List[Document]:
endpoint = SPREEDLY_ENDPOINTS.get(self.resource)
if endpoint is None:
return []
return self._make... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/spreedly.html |
ea67133ad100-0 | Source code for langchain.document_loaders.web_base
"""Web base loader class."""
import asyncio
import logging
import warnings
from typing import Any, Dict, Iterator, List, Optional, Union
import aiohttp
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoa... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/web_base.html |
ea67133ad100-1 | requests_kwargs: Dict[str, Any] = {}
"""kwargs for requests"""
raise_for_status: bool = False
"""Raise an exception if http status code denotes an error."""
bs_get_text_kwargs: Dict[str, Any] = {}
"""kwargs for beatifulsoup4 get_text"""
def __init__(
self,
web_path: Union[str, Li... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/web_base.html |
ea67133ad100-2 | if proxies:
self.session.proxies.update(proxies)
@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, backo... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/web_base.html |
ea67133ad100-3 | 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,... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/web_base.html |
ea67133ad100-4 | 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, verify=self.verify, **self.requests_kwargs)
if self.raise_for_status:
html... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/web_base.html |
d58f3de37bd7-0 | Source code for langchain.document_loaders.conllu
"""Load CoNLL-U files."""
import csv
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class CoNLLULoader(BaseLoader):
"""Load CoNLL-U files."""
def __init__(self, file_path: str... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/conllu.html |
f32028cd0d58-0 | 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/stable/_modules/langchain/document_loaders/acreom.html |
f32028cd0d58-1 | # 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/stable/_modules/langchain/document_loaders/acreom.html |
8f604b035db2-0 | Source code for langchain.document_loaders.azlyrics
"""Loader that loads AZLyrics."""
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.web_base import WebBaseLoader
[docs]class AZLyricsLoader(WebBaseLoader):
"""Loader that loads AZLyrics webpages."""
[docs] ... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/azlyrics.html |
273bef8e013b-0 | Source code for langchain.document_loaders.airbyte_json
"""Loader that loads local airbyte json files."""
import json
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.utils import stringify_dict
[docs]class AirbyteJSONLoader(B... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/airbyte_json.html |
4864eb42e99f-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/stable/_modules/langchain/document_loaders/image.html |
ebe87a6aa180-0 | 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/stable/_modules/langchain/document_loaders/readthedocs.html |
ebe87a6aa180-1 | from bs4 import BeautifulSoup
except ImportError:
raise ImportError(
"Could not import python packages. "
"Please install it with `pip install beautifulsoup4`. "
)
try:
_ = BeautifulSoup(
"<html><body>Parser builder libr... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/readthedocs.html |
ebe87a6aa180-2 | if text is not None:
break
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/stable/_modules/langchain/document_loaders/readthedocs.html |
2c7d9b0230a9-0 | Source code for langchain.document_loaders.weather
"""Simple reader that reads weather data from OpenWeatherMap API"""
from __future__ import annotations
from datetime import datetime
from typing import Iterator, List, Optional, Sequence
from langchain.docstore.document import Document
from langchain.document_loaders.b... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/weather.html |
b2d5d70c8574-0 | Source code for langchain.document_loaders.html
"""Loader that uses unstructured to load HTML files."""
from typing import List
from langchain.document_loaders.unstructured import UnstructuredFileLoader
[docs]class UnstructuredHTMLLoader(UnstructuredFileLoader):
"""Loader that uses unstructured to load HTML files."... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/html.html |
066e0ca83e1f-0 | Source code for langchain.document_loaders.srt
"""Loader for .srt (subtitle) files."""
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class SRTLoader(BaseLoader):
"""Loader for .srt (subtitle) files."""
def __init__(self, fil... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/srt.html |
189b839ab994-0 | Source code for langchain.document_loaders.onedrive_file
from __future__ import annotations
import tempfile
from typing import TYPE_CHECKING, List
from pydantic import BaseModel, Field
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/onedrive_file.html |
83bd6e52afb4-0 | Source code for langchain.document_loaders.s3_directory
"""Loading logic for loading documents from an s3 directory."""
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.s3_file import S3FileLoader
[docs]class ... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/s3_directory.html |
a37b874c974b-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/stable/_modules/langchain/document_loaders/mhtml.html |
a37b874c974b-1 | for part in parts:
if part.get_content_type() == "text/html":
html = part.get_payload(decode=True).decode()
soup = BeautifulSoup(html, **self.bs_kwargs)
text = soup.get_text(self.get_text_separator)
if soup.title:
... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/mhtml.html |
b0f343f045af-0 | Source code for langchain.document_loaders.gcs_file
"""Loading logic for loading documents from a GCS file."""
import os
import tempfile
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.unstructured import Uns... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/gcs_file.html |
ed7445465f5a-0 | Source code for langchain.document_loaders.toml
import json
from pathlib import Path
from typing import Iterator, List, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class TomlLoader(BaseLoader):
"""
A TOML document loader that inherits from ... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/toml.html |
b5cfa438f159-0 | Source code for langchain.document_loaders.psychic
"""Loader that loads documents from Psychic.dev."""
from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class PsychicLoader(BaseLoader):
"""Loader that loads documents from ... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/psychic.html |
ce173df95baf-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/stable/_modules/langchain/document_loaders/iugu.html |
ce173df95baf-1 | [docs] def load(self) -> List[Document]:
return self._get_resource() | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/iugu.html |
d988c2fb00fd-0 | Source code for langchain.document_loaders.blob_loaders.youtube_audio
from typing import Iterable, List
from langchain.document_loaders.blob_loaders import FileSystemBlobLoader
from langchain.document_loaders.blob_loaders.schema import Blob, BlobLoader
[docs]class YoutubeAudioLoader(BlobLoader):
"""Load YouTube url... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/blob_loaders/youtube_audio.html |
85670de318d1-0 | Source code for langchain.document_loaders.blob_loaders.file_system
"""Use to load blobs from the local file system."""
from pathlib import Path
from typing import Callable, Iterable, Iterator, Optional, Sequence, TypeVar, Union
from langchain.document_loaders.blob_loaders.schema import Blob, BlobLoader
T = TypeVar("T"... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/blob_loaders/file_system.html |
85670de318d1-1 | *,
glob: str = "**/[!.]*",
suffixes: Optional[Sequence[str]] = None,
show_progress: bool = False,
) -> None:
"""Initialize with path to directory and how to glob over it.
Args:
path: Path to directory to load from
glob: Glob pattern relative to the spe... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/blob_loaders/file_system.html |
85670de318d1-2 | self,
) -> Iterable[Blob]:
"""Yield blobs that match the requested pattern."""
iterator = _make_iterator(
length_func=self.count_matching_files, show_progress=self.show_progress
)
for path in iterator(self._yield_paths()):
yield Blob.from_path(path)
def _y... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/blob_loaders/file_system.html |
df139babe704-0 | Source code for langchain.document_loaders.blob_loaders.schema
"""Schema for Blobs and Blob Loaders.
The goal is to facilitate decoupling of content loading from content parsing code.
In addition, content loading code should provide a lazy loading interface by default.
"""
from __future__ import annotations
import cont... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/blob_loaders/schema.html |
df139babe704-1 | return str(self.path) if self.path else None
@root_validator(pre=True)
def check_blob_is_valid(cls, values: Mapping[str, Any]) -> Mapping[str, Any]:
"""Verify that either data or path is provided."""
if "data" not in values and "path" not in values:
raise ValueError("Either data or p... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/blob_loaders/schema.html |
df139babe704-2 | yield f
else:
raise NotImplementedError(f"Unable to convert blob {self}")
[docs] @classmethod
def from_path(
cls,
path: PathLike,
*,
encoding: str = "utf-8",
mime_type: Optional[str] = None,
guess_type: bool = True,
) -> Blob:
"""Loa... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/blob_loaders/schema.html |
df139babe704-3 | mime_type: if provided, will be set as the mime-type of the data
path: if provided, will be set as the source from which the data came
Returns:
Blob instance
"""
return cls(data=data, mimetype=mime_type, encoding=encoding, path=path)
def __repr__(self) -> str:
... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/blob_loaders/schema.html |
bb02300c7fac-0 | Source code for langchain.embeddings.llamacpp
"""Wrapper around llama.cpp embedding models."""
from typing import Any, Dict, List, Optional
from pydantic import BaseModel, Extra, Field, root_validator
from langchain.embeddings.base import Embeddings
[docs]class LlamaCppEmbeddings(BaseModel, Embeddings):
"""Wrapper ... | https://api.python.langchain.com/en/stable/_modules/langchain/embeddings/llamacpp.html |
bb02300c7fac-1 | use_mlock: bool = Field(False, alias="use_mlock")
"""Force system to keep model in RAM."""
n_threads: Optional[int] = Field(None, alias="n_threads")
"""Number of threads to use. If None, the number
of threads is automatically determined."""
n_batch: Optional[int] = Field(8, alias="n_batch")
"""... | https://api.python.langchain.com/en/stable/_modules/langchain/embeddings/llamacpp.html |
bb02300c7fac-2 | raise ModuleNotFoundError(
"Could not import llama-cpp-python library. "
"Please install the llama-cpp-python library to "
"use this embedding model: pip install llama-cpp-python"
)
except Exception as e:
raise ValueError(
f... | https://api.python.langchain.com/en/stable/_modules/langchain/embeddings/llamacpp.html |
725ad95173bc-0 | Source code for langchain.embeddings.aleph_alpha
from typing import Any, Dict, List, Optional
from pydantic import BaseModel, root_validator
from langchain.embeddings.base import Embeddings
from langchain.utils import get_from_dict_or_env
[docs]class AlephAlphaAsymmetricSemanticEmbedding(BaseModel, Embeddings):
"""... | https://api.python.langchain.com/en/stable/_modules/langchain/embeddings/aleph_alpha.html |
725ad95173bc-1 | """Attention control parameters only apply to those tokens that have
explicitly been set in the request."""
control_log_additive: Optional[bool] = True
"""Apply controls on prompt items by adding the log(control_factor)
to attention scores."""
aleph_alpha_api_key: Optional[str] = None
"""API k... | https://api.python.langchain.com/en/stable/_modules/langchain/embeddings/aleph_alpha.html |
725ad95173bc-2 | document_params = {
"prompt": Prompt.from_text(text),
"representation": SemanticRepresentation.Document,
"compress_to_size": self.compress_to_size,
"normalize": self.normalize,
"contextual_control_threshold": self.contextual_control_thresho... | https://api.python.langchain.com/en/stable/_modules/langchain/embeddings/aleph_alpha.html |
725ad95173bc-3 | request=symmetric_request, model=self.model
)
return symmetric_response.embedding
[docs]class AlephAlphaSymmetricSemanticEmbedding(AlephAlphaAsymmetricSemanticEmbedding):
"""The symmetric version of the Aleph Alpha's semantic embeddings.
The main difference is that here, both the documents and
... | https://api.python.langchain.com/en/stable/_modules/langchain/embeddings/aleph_alpha.html |
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