id stringlengths 14 16 | text stringlengths 29 2.73k | source stringlengths 50 116 |
|---|---|---|
f032db217422-3 | "`username` and provide a value for `oauth2`"
)
if oauth2 and oauth2.keys() != [
"access_token",
"access_token_secret",
"consumer_key",
"key_cert",
]:
errors.append(
"You have either ommited require keys or added ext... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
f032db217422-4 | :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:///python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
f032db217422-5 | expand="body.storage.value",
)
docs += self.process_pages(
pages, include_restricted_content, include_attachments, include_comments
)
if cql:
pages = self.paginate_request(
self.confluence.cql,
cql=cql,
... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
f032db217422-6 | doesn't match the limit value. If `limit` is >100 confluence
seems to cap the response to 100. Also, due to the Atlassian Python
package, we don't get the "next" values from the "_links" key because
they only return the value from the results key. So here, the pagination
starts from 0 a... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
f032db217422-7 | break
docs.extend(batch)
return docs[:max_pages]
[docs] def is_public_page(self, page: dict) -> bool:
"""Check if a page is publicly accessible."""
restrictions = self.confluence.get_all_restrictions_for_content(page["id"])
return (
page["status"] == "current"
... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
f032db217422-8 | ).get_text() + "".join(attachment_texts)
if include_comments:
comments = self.confluence.get_page_comments(
page["id"], expand="body.view.value", depth="all"
)["results"]
comment_texts = [
BeautifulSoup(comment["body"]["view"]["value"], "lxml")... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
f032db217422-9 | or media_type == "image/jpeg"
):
text = title + self.process_image(absolute_url)
elif (
media_type == "application/vnd.openxmlformats-officedocument"
".wordprocessingml.document"
):
text = title + self.process_doc(absolu... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
f032db217422-10 | return text
[docs] def process_image(self, link: str) -> str:
try:
from io import BytesIO # noqa: F401
import pytesseract # noqa: F401
from PIL import Image # noqa: F401
except ImportError:
raise ImportError(
"`pytesseract` or `Pillow... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
f032db217422-11 | try:
import xlrd # noqa: F401
except ImportError:
raise ImportError("`xlrd` package not found, please run `pip install xlrd`")
response = self.confluence.request(path=link, absolute=True)
text = ""
if (
response.status_code != 200
or respo... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
f032db217422-12 | or response.content is None
):
return text
drawing = svg2rlg(BytesIO(response.content))
img_data = BytesIO()
renderPM.drawToFile(drawing, img_data, fmt="PNG")
img_data.seek(0)
image = Image.open(img_data)
return pytesseract.image_to_string(image)
By Ha... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
8afab1da9074-0 | 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:///python.langchain.com/en/latest/_modules/langchain/document_loaders/slack_directory.html |
8afab1da9074-1 | 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:///python.langchain.com/en/latest/_modules/langchain/document_loaders/slack_directory.html |
8afab1da9074-2 | "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:///python.langchain.com/en/latest/_modules/langchain/document_loaders/slack_directory.html |
798601b71a28-0 | 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:///python.langchain.com/en/latest/_modules/langchain/document_loaders/hn.html |
798601b71a28-1 | title = lineItem.find("span", {"class": "titleline"}).text.strip()
metadata = {
"source": self.web_path,
"title": title,
"link": link,
"ranking": ranking,
}
documents.append(
Document(
... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/hn.html |
25d9437138e8-0 | Source code for langchain.document_loaders.gutenberg
"""Loader that loads .txt web files."""
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class GutenbergLoader(BaseLoader):
"""Loader that uses urllib to load .txt web files."""
... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/gutenberg.html |
80971ce9f6b7-0 | Source code for langchain.document_loaders.email
"""Loader that loads email files."""
import os
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.unstructured import (
UnstructuredFileLoader,
satisfies_... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/email.html |
80971ce9f6b7-1 | "`pip install extract_msg`"
)
[docs] def load(self) -> List[Document]:
"""Load data into document objects."""
import extract_msg
msg = extract_msg.Message(self.file_path)
return [
Document(
page_content=msg.body,
metadata={
... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/email.html |
eafd9d9a092a-0 | Source code for langchain.document_loaders.sitemap
"""Loader that fetches a sitemap and loads those URLs."""
import itertools
import re
from typing import Any, Callable, Generator, Iterable, List, Optional
from langchain.document_loaders.web_base import WebBaseLoader
from langchain.schema import Document
def _default_p... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/sitemap.html |
eafd9d9a092a-1 | try:
import lxml # noqa:F401
except ImportError:
raise ValueError(
"lxml package not found, please install it with " "`pip install lxml`"
)
super().__init__(web_path)
self.filter_urls = filter_urls
self.parsing_function = parsing_funct... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/sitemap.html |
eafd9d9a092a-2 | if blockcount - 1 < self.blocknum:
raise ValueError(
"Selected sitemap does not contain enough blocks for given blocknum"
)
else:
els = elblocks[self.blocknum]
results = self.scrape_all([el["loc"].strip() for el in els if "loc" in e... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/sitemap.html |
c24058515e50-0 | Source code for langchain.document_loaders.word_document
"""Loader that loads word documents."""
import os
import tempfile
from abc import ABC
from typing import List
from urllib.parse import urlparse
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/word_document.html |
c24058515e50-1 | if hasattr(self, "temp_file"):
self.temp_file.close()
[docs] def load(self) -> List[Document]:
"""Load given path as single page."""
import docx2txt
return [
Document(
page_content=docx2txt.process(self.file_path),
metadata={"source": se... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/word_document.html |
c24058515e50-2 | "Please upgrade the unstructured package and try again."
)
if is_doc:
from unstructured.partition.doc import partition_doc
return partition_doc(filename=self.file_path, **self.unstructured_kwargs)
else:
from unstructured.partition.docx import partition_doc... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/word_document.html |
7086187965f7-0 | Source code for langchain.document_loaders.dataframe
"""Load from Dataframe object"""
from typing import Any, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class DataFrameLoader(BaseLoader):
"""Load Pandas DataFrames."""
def __init__(self, dat... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/dataframe.html |
8ab90711b035-0 | Source code for langchain.document_loaders.web_base
"""Web base loader class."""
import asyncio
import logging
import warnings
from typing import Any, List, Optional, Union
import aiohttp
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
logger = log... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/web_base.html |
8ab90711b035-1 | ):
"""Initialize with 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(... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/web_base.html |
8ab90711b035-2 | if i == retries - 1:
raise
else:
logger.warning(
f"Error fetching {url} with attempt "
f"{i + 1}/{retries}: {e}. Retrying..."
)
await asyncio.sleep(... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/web_base.html |
8ab90711b035-3 | """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"):
... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/web_base.html |
8ab90711b035-4 | """Load text from the urls in web_path async into Documents."""
results = self.scrape_all(self.web_paths)
docs = []
for i in range(len(results)):
soup = results[i]
text = soup.get_text()
metadata = _build_metadata(soup, self.web_paths[i])
docs.appe... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/web_base.html |
fefcbd086303-0 | Source code for langchain.document_loaders.directory
"""Loading logic for loading documents from a directory."""
import logging
from pathlib import Path
from typing import List, Type, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_lo... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/directory.html |
fefcbd086303-1 | [docs] def load(self) -> List[Document]:
"""Load documents."""
p = Path(self.path)
docs = []
items = list(p.rglob(self.glob) if self.recursive else p.glob(self.glob))
pbar = None
if self.show_progress:
try:
from tqdm import tqdm
... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/directory.html |
78d9f2ab08a7-0 | Source code for langchain.document_loaders.html_bs
"""Loader that uses bs4 to load HTML files, enriching metadata with page title."""
import logging
from typing import Dict, List, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
logger = logging.getLogger(__n... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/html_bs.html |
78d9f2ab08a7-1 | title = ""
metadata: Dict[str, Union[str, None]] = {
"source": self.file_path,
"title": title,
}
return [Document(page_content=text, metadata=metadata)]
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 02, 2023. | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/html_bs.html |
4b4a7aff76a8-0 | 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:///python.langchain.com/en/latest/_modules/langchain/document_loaders/url.html |
4b4a7aff76a8-1 | 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 of `{_valid_modes}`"
)
def __is_headers_available_for_html(self) -> bool:
_unst... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/url.html |
4b4a7aff76a8-2 | elements = partition(url=url, **self.unstructured_kwargs)
else:
if self.__is_headers_available_for_html():
elements = partition_html(
url=url, headers=self.headers, **self.unstructured_kwargs
)
... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/url.html |
eeaabd6e36c5-0 | 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:///python.langchain.com/en/latest/_modules/langchain/document_loaders/imsdb.html |
a34fba458f5c-0 | Source code for langchain.document_loaders.unstructured
"""Loader that uses unstructured to load files."""
from abc import ABC, abstractmethod
from typing import IO, Any, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
def satisfies_min_unstructured_version(m... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
a34fba458f5c-1 | )
self.mode = mode
if not satisfies_min_unstructured_version("0.5.4"):
if "strategy" in unstructured_kwargs:
unstructured_kwargs.pop("strategy")
self.unstructured_kwargs = unstructured_kwargs
@abstractmethod
def _get_elements(self) -> List:
"""Get elem... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
a34fba458f5c-2 | ):
"""Initialize with file path."""
self.file_path = file_path
super().__init__(mode=mode, **unstructured_kwargs)
def _get_elements(self) -> List:
from unstructured.partition.auto import partition
return partition(filename=self.file_path, **self.unstructured_kwargs)
def _... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
a34fba458f5c-3 | """Loader that uses unstructured to load file IO objects."""
def __init__(self, file: IO, mode: str = "single", **unstructured_kwargs: Any):
"""Initialize with file path."""
self.file = file
super().__init__(mode=mode, **unstructured_kwargs)
def _get_elements(self) -> List:
from ... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
a34fba458f5c-4 | By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 02, 2023. | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
75ad3122b50d-0 | Source code for langchain.document_loaders.pdf
"""Loader that loads PDF files."""
import json
import logging
import os
import tempfile
import time
from abc import ABC
from io import StringIO
from pathlib import Path
from typing import Any, List, Optional
from urllib.parse import urlparse
import requests
from langchain.... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
75ad3122b50d-1 | % r.status_code
)
self.web_path = self.file_path
self.temp_file = tempfile.NamedTemporaryFile()
self.temp_file.write(r.content)
self.file_path = self.temp_file.name
elif not os.path.isfile(self.file_path):
raise ValueError("File path %s... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
75ad3122b50d-2 | """Load given path as pages."""
import pypdf
with open(self.file_path, "rb") as pdf_file_obj:
pdf_reader = pypdf.PdfReader(pdf_file_obj)
return [
Document(
page_content=page.extract_text(),
metadata={"source": self.file_path... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
75ad3122b50d-3 | docs.extend(sub_docs)
except Exception as e:
if self.silent_errors:
logger.warning(e)
else:
raise e
return docs
[docs]class PDFMinerLoader(BasePDFLoader):
"""Loader that uses PDFMiner ... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
75ad3122b50d-4 | from pdfminer.utils import open_filename
output_string = StringIO()
with open_filename(self.file_path, "rb") as fp:
extract_text_to_fp(
fp, # type: ignore[arg-type]
output_string,
codec="",
laparams=LAParams(),
... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
75ad3122b50d-5 | },
),
)
for page in doc
]
# MathpixPDFLoader implementation taken largely from Daniel Gross's:
# https://gist.github.com/danielgross/3ab4104e14faccc12b49200843adab21
[docs]class MathpixPDFLoader(BasePDFLoader):
def __init__(
self,
file_path: str,
... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
75ad3122b50d-6 | files = {"file": f}
response = requests.post(
self.url, headers=self.headers, files=files, data=self.data
)
response_data = response.json()
if "pdf_id" in response_data:
pdf_id = response_data["pdf_id"]
return pdf_id
else:
... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
75ad3122b50d-7 | # replace the "\" slash that Mathpix adds to escape $, %, (, etc.
contents = (
contents.replace("\$", "$")
.replace("\%", "%")
.replace("\(", "(")
.replace("\)", ")")
)
return contents
[docs] def load(self) -> List[Document]:
pdf_id = se... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
ad76163df799-0 | Source code for langchain.document_loaders.telegram
"""Loader that loads Telegram chat json dump."""
import json
from pathlib import Path
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
def concatenate_rows(row: dict) -> str:
"""Combine... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/telegram.html |
ad76163df799-1 | metadata = {"source": str(p)}
return [Document(page_content=text, metadata=metadata)]
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 02, 2023. | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/telegram.html |
fe60d542ade6-0 | 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:///python.langchain.com/en/latest/_modules/langchain/document_loaders/obsidian.html |
fe60d542ade6-1 | """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:///python.langchain.com/en/latest/_modules/langchain/document_loaders/obsidian.html |
242a0e3f3233-0 | Source code for langchain.document_loaders.youtube
"""Loader that loads YouTube transcript."""
from __future__ import annotations
import logging
from pathlib import Path
from typing import Any, Dict, List, Optional
from pydantic import root_validator
from pydantic.dataclasses import dataclass
from langchain.docstore.do... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html |
242a0e3f3233-1 | if not values.get("credentials_path") and not values.get(
"service_account_path"
):
raise ValueError("Must specify either channel_name or video_ids")
return values
def _load_credentials(self) -> Any:
"""Load credentials."""
# Adapted from https://developers.go... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html |
242a0e3f3233-2 | """Loader that loads Youtube transcripts."""
def __init__(
self,
video_id: str,
add_video_info: bool = False,
language: str = "en",
continue_on_failure: bool = False,
):
"""Initialize with YouTube video ID."""
self.video_id = video_id
self.add_vide... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html |
242a0e3f3233-3 | en_transcript = transcript_list.find_transcript(["en"])
transcript = en_transcript.translate(self.language)
transcript_pieces = transcript.fetch()
transcript = " ".join([t["text"].strip(" ") for t in transcript_pieces])
return [Document(page_content=transcript, metadata=metadata)]
... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html |
242a0e3f3233-4 | .. code-block:: python
from langchain.document_loaders import GoogleApiClient
from langchain.document_loaders import GoogleApiYoutubeLoader
google_api_client = GoogleApiClient(
service_account_path=Path("path_to_your_sec_file.json")
)
loader = ... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html |
242a0e3f3233-5 | if not values.get("channel_name") and not values.get("video_ids"):
raise ValueError("Must specify either channel_name or video_ids")
return values
def _get_transcripe_for_video_id(self, video_id: str) -> str:
from youtube_transcript_api import NoTranscriptFound, YouTubeTranscriptApi
... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html |
242a0e3f3233-6 | channel_id = response["items"][0]["id"]["channelId"]
return channel_id
def _get_document_for_channel(self, channel: str, **kwargs: Any) -> List[Document]:
try:
from youtube_transcript_api import (
NoTranscriptFound,
TranscriptsDisabled,
)
... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html |
242a0e3f3233-7 | )
else:
raise e
pass
request = self.youtube_client.search().list_next(request, response)
return video_ids
[docs] def load(self) -> List[Document]:
"""Load documents."""
document_list = []
if self.channel_name:... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html |
1d6a198fef9c-0 | Source code for langchain.document_loaders.notebook
"""Loader that loads .ipynb notebook files."""
import json
from pathlib import Path
from typing import Any, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
def concatenate_cells(
cell: dict, include_outp... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/notebook.html |
1d6a198fef9c-1 | return f"'{cell_type}' cell: '{source}'\n\n"
return ""
def remove_newlines(x: Any) -> Any:
"""Remove recursively newlines, no matter the data structure they are stored in."""
import pandas as pd
if isinstance(x, str):
return x.replace("\n", "")
elif isinstance(x, list):
return [remov... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/notebook.html |
1d6a198fef9c-2 | if self.remove_newline:
filtered_data = filtered_data.applymap(remove_newlines)
text = filtered_data.apply(
lambda x: concatenate_cells(
x, self.include_outputs, self.max_output_length, self.traceback
),
axis=1,
).str.cat(sep=" ")
m... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/notebook.html |
58657450dbdf-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:///python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
58657450dbdf-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:///python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
58657450dbdf-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:///python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
58657450dbdf-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:
... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
58657450dbdf-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:///python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
58657450dbdf-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:///python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
58657450dbdf-6 | By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 02, 2023. | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
ddfa42e7796c-0 | Source code for langchain.document_loaders.notiondb
"""Notion DB loader for langchain"""
from typing import Any, Dict, List
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 = NOTION_BASE_URL... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/notiondb.html |
ddfa42e7796c-1 | def _retrieve_page_ids(
self, query_dict: Dict[str, Any] = {"page_size": 100}
) -> List[str]:
"""Get all the pages from a Notion database."""
pages: List[Dict[str, Any]] = []
while True:
data = self._request(
DATABASE_URL.format(database_id=self.database_i... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/notiondb.html |
ddfa42e7796c-2 | metadata[prop_name.lower()] = value
metadata["id"] = page_id
return Document(page_content=self._load_blocks(page_id), metadata=metadata)
def _load_blocks(self, block_id: str, num_tabs: int = 0) -> str:
"""Read a block and its children."""
result_lines_arr: List[str] = []
cur_... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/notiondb.html |
ddfa42e7796c-3 | By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 02, 2023. | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/notiondb.html |
6369f67f1059-0 | Source code for langchain.document_loaders.hugging_face_dataset
"""Loader that loads HuggingFace datasets."""
from typing import List, Mapping, Optional, Sequence, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class HuggingFaceDatasetLoader(BaseLoade... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/hugging_face_dataset.html |
6369f67f1059-1 | 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:///python.langchain.com/en/latest/_modules/langchain/document_loaders/hugging_face_dataset.html |
5d4cc46ca0a9-0 | Source code for langchain.document_loaders.image_captions
"""
Loader that loads image captions
By default, the loader utilizes the pre-trained BLIP image captioning model.
https://huggingface.co/Salesforce/blip-image-captioning-base
"""
from typing import Any, List, Tuple, Union
import requests
from langchain.docstore.... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/image_captions.html |
5d4cc46ca0a9-1 | model=model, processor=processor, path_image=path_image
)
doc = Document(page_content=caption, metadata=metadata)
results.append(doc)
return results
def _get_captions_and_metadata(
self, model: Any, processor: Any, path_image: str
) -> Tuple[str, dict]:
... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/image_captions.html |
662c5f5d577b-0 | Source code for langchain.document_loaders.csv_loader
import csv
from typing import Dict, List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class CSVLoader(BaseLoader):
"""Loads a CSV file into a list of documents.
Each document represen... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/csv_loader.html |
662c5f5d577b-1 | with open(self.file_path, newline="", encoding=self.encoding) as csvfile:
csv_reader = csv.DictReader(csvfile, **self.csv_args) # type: ignore
for i, row in enumerate(csv_reader):
content = "\n".join(f"{k.strip()}: {v.strip()}" for k, v in row.items())
try:
... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/csv_loader.html |
089369140aeb-0 | Source code for langchain.document_loaders.s3_file
"""Loading logic for loading documents from an s3 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 Unst... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/s3_file.html |
cef15981059e-0 | Source code for langchain.document_loaders.googledrive
"""Loader that loads data from Google Drive."""
# Prerequisites:
# 1. Create a Google Cloud project
# 2. Enable the Google Drive API:
# https://console.cloud.google.com/flows/enableapi?apiid=drive.googleapis.com
# 3. Authorize credentials for desktop app:
# htt... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
cef15981059e-1 | if values.get("folder_id") and (
values.get("document_ids") or values.get("file_ids")
):
raise ValueError(
"Cannot specify both folder_id and document_ids nor "
"folder_id and file_ids"
)
if (
not values.get("folder_id")
... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
cef15981059e-2 | if not creds or not creds.valid:
if creds and creds.expired and creds.refresh_token:
creds.refresh(Request())
else:
flow = InstalledAppFlow.from_client_secrets_file(
str(self.credentials_path), SCOPES
)
creds = f... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
cef15981059e-3 | title = header[j].strip() if len(header) > j else ""
content.append(f"{title}: {v.strip()}")
page_content = "\n".join(content)
documents.append(Document(page_content=page_content, metadata=metadata))
return documents
def _load_document_from_id(self, id: st... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
cef15981059e-4 | from googleapiclient.discovery import build
creds = self._load_credentials()
service = build("drive", "v3", credentials=creds)
files = self._fetch_files_recursive(service, folder_id)
returns = []
for file in files:
if file["mimeType"] == "application/vnd.google-apps.d... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
cef15981059e-5 | return returns
def _load_documents_from_ids(self) -> List[Document]:
"""Load documents from a list of IDs."""
if not self.document_ids:
raise ValueError("document_ids must be set")
return [self._load_document_from_id(doc_id) for doc_id in self.document_ids]
def _load_file_fro... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
cef15981059e-6 | docs = []
for file_id in self.file_ids:
docs.extend(self._load_file_from_id(file_id))
return docs
[docs] def load(self) -> List[Document]:
"""Load documents."""
if self.folder_id:
return self._load_documents_from_folder(self.folder_id)
elif self.documen... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
00b4bc780a5d-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:///python.langchain.com/en/latest/_modules/langchain/document_loaders/markdown.html |
113accc6c70f-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:///python.langchain.com/en/latest/_modules/langchain/document_loaders/apify_dataset.html |
113accc6c70f-1 | )
return values
[docs] def load(self) -> List[Document]:
"""Load documents."""
dataset_items = self.apify_client.dataset(self.dataset_id).list_items().items
return list(map(self.dataset_mapping_function, dataset_items))
By Harrison Chase
© Copyright 2023, Harrison Chase.
... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/apify_dataset.html |
39e3d930b27a-0 | Source code for langchain.document_loaders.facebook_chat
"""Loader that loads Facebook chat json dump."""
import datetime
import json
from pathlib import Path
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
def concatenate_rows(row: dict) -... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/facebook_chat.html |
39e3d930b27a-1 | df_filtered = df_filtered[["timestamp_ms", "content", "sender_name"]]
text = df_filtered.apply(concatenate_rows, axis=1).str.cat(sep="")
metadata = {"source": str(p)}
return [Document(page_content=text, metadata=metadata)]
By Harrison Chase
© Copyright 2023, Harrison Chase.
L... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/facebook_chat.html |
f17d9d9dbbc4-0 | Source code for langchain.document_loaders.gitbook
"""Loader that loads GitBook."""
from typing import Any, List, Optional
from urllib.parse import urljoin, urlparse
from langchain.docstore.document import Document
from langchain.document_loaders.web_base import WebBaseLoader
[docs]class GitbookLoader(WebBaseLoader):
... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/gitbook.html |
f17d9d9dbbc4-1 | [docs] def load(self) -> List[Document]:
"""Fetch text from one single GitBook page."""
if self.load_all_paths:
soup_info = self.scrape()
relative_paths = self._get_paths(soup_info)
documents = []
for path in relative_paths:
url = urljoi... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/gitbook.html |
f2096437ad5b-0 | Source code for langchain.document_loaders.blockchain
import os
import re
from enum import Enum
from typing import List
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
class BlockchainType(Enum):
ETH_MAINNET = "eth-mainnet"
ETH_GOERLI = "et... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/blockchain.html |
f2096437ad5b-1 | self.startToken = startToken
if not self.api_key:
raise ValueError("Alchemy API key not provided.")
if not re.match(r"^0x[a-fA-F0-9]{40}$", self.contract_address):
raise ValueError(f"Invalid contract address {self.contract_address}")
[docs] def load(self) -> List[Document]:
... | https:///python.langchain.com/en/latest/_modules/langchain/document_loaders/blockchain.html |
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