id stringlengths 14 15 | text stringlengths 44 2.47k | source stringlengths 61 181 |
|---|---|---|
50bfdee85d1c-2 | if len(doppelgangers) > 1:
idx_of_self = doppelgangers.index(chunk)
qname = f"{qname}[{idx_of_self + 1}]"
return qname
def _xpath_for_chunk(chunk: Any) -> str:
"""Get the xpath for a chunk."""
ancestor_chain = chunk.xpath("ancestor-or-s... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
50bfdee85d1c-3 | """Get the leaf structural nodes of a node."""
if _is_structural(node) and not _has_structural_descendant(node):
return [node]
else:
leaf_nodes = []
for child in node:
leaf_nodes.extend(_leaf_structural_nodes(child))
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
50bfdee85d1c-4 | if prev_small_chunk_text and len(chunks) > 0:
# small chunk at the end left over, just append to last chunk
chunks[-1].page_content += " " + prev_small_chunk_text
return chunks
def _document_details_for_docset_id(self, docset_id: str) -> List[Dict]:
"""Gets all document detai... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
50bfdee85d1c-5 | )
return all_projects
def _metadata_for_project(self, project: Dict) -> Dict:
"""Gets project metadata for all files"""
project_id = project.get("id")
url = f"{self.api}/projects/{project_id}/artifacts/latest"
all_artifacts = []
while url:
response = reque... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
50bfdee85d1c-6 | artifact_root = artifact_tree.getroot()
ns = artifact_root.nsmap
entries = artifact_root.xpath("//pr:Entry", namespaces=ns)
for entry in entries:
heading = entry.xpath("./pr:Heading", namespaces=ns)[0].text
value... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
50bfdee85d1c-7 | if self.document_ids:
_document_details = [
d for d in _document_details if d["id"] in self.document_ids
]
_project_details = self._project_details_for_docset_id(self.docset_id)
combined_project_metadata = {}
if _project_details:
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
7b4a4e1d51d6-0 | Source code for langchain.document_loaders.word_document
"""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
from langch... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/word_document.html |
7b4a4e1d51d6-1 | 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://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/word_document.html |
7b4a4e1d51d6-2 | from unstructured.file_utils.filetype import FileType, detect_filetype
unstructured_version = tuple(
[int(x) for x in __unstructured_version__.split(".")]
)
# NOTE(MthwRobinson) - magic will raise an import error if the libmagic
# system dependency isn't installed. If it's no... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/word_document.html |
0547b0cf08bd-0 | Source code for langchain.document_loaders.telegram
from __future__ import annotations
import asyncio
import json
from pathlib import Path
from typing import TYPE_CHECKING, Dict, List, Optional, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/telegram.html |
0547b0cf08bd-1 | if isinstance(text, str):
# Take a single string as one page
text = [text]
page_docs = [Document(page_content=page) for page in text]
# Add page numbers as metadata
for i, doc in enumerate(page_docs):
doc.metadata["page"] = i + 1
# Split pages into chunks
doc_chunks = []
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/telegram.html |
0547b0cf08bd-2 | api_hash: The API hash.
username: The username.
file_path: The file path to save the data to. Defaults to
"telegram_data.json".
"""
self.chat_entity = chat_entity
self.api_id = api_id
self.api_hash = api_hash
self.username = username
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/telegram.html |
0547b0cf08bd-3 | Returns:
dict: A dictionary where the key is the parent message ID and \
the value is a list of message IDs in ascending order.
"""
def find_replies(parent_id: int, reply_data: pd.DataFrame) -> List[int]:
"""
Recursively find all replies to a given par... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/telegram.html |
0547b0cf08bd-4 | }
return message_threads
def _combine_message_texts(
self, message_threads: Dict[int, List[int]], data: pd.DataFrame
) -> str:
"""
Combine the message texts for each parent message ID based \
on the list of message threads.
Args:
message_threads (d... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/telegram.html |
0547b0cf08bd-5 | """
)
p = Path(self.file_path)
with open(p, encoding="utf8") as f:
d = json.load(f)
try:
import pandas as pd
except ImportError:
raise ImportError(
"""`pandas` package not found.
please install with `pip... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/telegram.html |
2d6c7fb010ce-0 | Source code for langchain.document_loaders.cube_semantic
import json
import logging
import time
from typing import List
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
logger = logging.getLogger(__name__)
[docs]class CubeSemanticLoader(BaseLoader):... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/cube_semantic.html |
2d6c7fb010ce-1 | self.dimension_values_retry_delay = dimension_values_retry_delay
def _get_dimension_values(self, dimension_name: str) -> List[str]:
"""Makes a call to Cube's REST API load endpoint to retrieve
values for dimensions.
These values can be used to achieve a more accurate filtering.
"""
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/cube_semantic.html |
2d6c7fb010ce-2 | """Makes a call to Cube's REST API metadata endpoint.
Returns:
A list of documents with attributes:
- page_content=column_title + column_description
- metadata
- table_name
- column_name
- column_data_type
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/cube_semantic.html |
2d6c7fb010ce-3 | dimension_values = []
item_name = str(item.get("name"))
item_type = str(item.get("type"))
if (
self.load_dimension_values
and column_member_type == "dimension"
and item_type == "string"
):
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/cube_semantic.html |
af4d347aea9c-0 | Source code for langchain.document_loaders.college_confidential
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.web_base import WebBaseLoader
[docs]class CollegeConfidentialLoader(WebBaseLoader):
"""Load `College Confidential` webpages."""
[docs] def load(... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/college_confidential.html |
e27eb5bd8d27-0 | Source code for langchain.document_loaders.brave_search
from typing import Iterator, List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.utilities.brave_search import BraveSearchWrapper
[docs]class BraveSearchLoader(BaseLoader):
"""Lo... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/brave_search.html |
8de685d1a167-0 | Source code for langchain.document_loaders.facebook_chat
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
[docs]def concatenate_rows(row: dict) -> str:
"""Combine message information i... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/facebook_chat.html |
19529b0b8ced-0 | Source code for langchain.document_loaders.s3_file
from __future__ import annotations
import os
import tempfile
from typing import TYPE_CHECKING, List, Optional, Union
from langchain.document_loaders.unstructured import UnstructuredBaseLoader
if TYPE_CHECKING:
import botocore
[docs]class S3FileLoader(UnstructuredBa... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/s3_file.html |
19529b0b8ced-1 | Note that not all services support non-ssl connections.
:param verify: Whether or not to verify SSL certificates.
By default SSL certificates are verified. You can provide the
following values:
* False - do not validate SSL certificates. SSL will still be
used... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/s3_file.html |
19529b0b8ced-2 | is specified in the client config, its value will take precedence
over environment variables and configuration values, but not over
a value passed explicitly to the method. If a default config
object is set on the session, the config object used when creating
the client w... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/s3_file.html |
19529b0b8ced-3 | os.makedirs(os.path.dirname(file_path), exist_ok=True)
s3.download_file(self.bucket, self.key, file_path)
return partition(filename=file_path)
def _get_metadata(self) -> dict:
return {"source": f"s3://{self.bucket}/{self.key}"} | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/s3_file.html |
f9341e2582d4-0 | Source code for langchain.document_loaders.conllu
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."""
[docs] def __init__(self, file_path: str):
"""Init... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/conllu.html |
9e0c1be44106-0 | Source code for langchain.document_loaders.mhtml
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(__name__)
[docs]class MHTMLLoader(BaseLoader):
"""Parse `MHTML` files w... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/mhtml.html |
9e0c1be44106-1 | with open(self.file_path, "r", encoding=self.open_encoding) as f:
message = email.message_from_string(f.read())
parts = message.get_payload()
if not isinstance(parts, list):
parts = [message]
for part in parts:
if part.get_content_type() ==... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/mhtml.html |
8b55ca975f51-0 | Source code for langchain.document_loaders.obs_file
# coding:utf-8
import os
import tempfile
from typing import Any, List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.unstructured import UnstructuredFileLoader
[docs]cla... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/obs_file.html |
8b55ca975f51-1 | - "get_token_from_ecs" (bool, optional): Whether to retrieve the security token from ECS. Defaults to False if not provided. If set to True, `ak`, `sk`, and `token` will be ignored.
Raises:
ValueError: If the `esdk-obs-python` package is not installed.
TypeError: If the provided `client`... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/obs_file.html |
8b55ca975f51-2 | from obs import ObsClient
except ImportError:
raise ImportError(
"Could not import esdk-obs-python python package. "
"Please install it with `pip install esdk-obs-python`."
)
if not client:
if not endpoint:
raise ValueEr... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/obs_file.html |
cc6a9d1da908-0 | Source code for langchain.document_loaders.base
"""Abstract interface for document loader implementations."""
from abc import ABC, abstractmethod
from typing import Iterator, List, Optional
from langchain.document_loaders.blob_loaders import Blob
from langchain.schema import Document
from langchain.text_splitter import... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/base.html |
cc6a9d1da908-1 | # implemented in all the existing subclasses.
[docs] def lazy_load(
self,
) -> Iterator[Document]:
"""A lazy loader for Documents."""
raise NotImplementedError(
f"{self.__class__.__name__} does not implement lazy_load()"
)
[docs]class BaseBlobParser(ABC):
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/base.html |
a71056960835-0 | Source code for langchain.document_loaders.fauna
from typing import Iterator, List, Optional, Sequence
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class FaunaLoader(BaseLoader):
"""Load from `FaunaDB`.
Attributes:
query (str): The FQL que... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/fauna.html |
a71056960835-1 | document_dict = dict(result.items())
page_content = ""
for key, value in document_dict.items():
if key == self.page_content_field:
page_content = value
document: Document = Document(
page_content=page_content... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/fauna.html |
cd5da643c3e9-0 | Source code for langchain.document_loaders.readthedocs
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 ReadTheDocsLoader(BaseLoader):
"""Load `ReadTheDocs` documentation ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/readthedocs.html |
cd5da643c3e9-1 | 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 |
cd5da643c3e9-2 | 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 |
d6022fad3e93-0 | Source code for langchain.document_loaders.html
from typing import List
from langchain.document_loaders.unstructured import UnstructuredFileLoader
[docs]class UnstructuredHTMLLoader(UnstructuredFileLoader):
"""Load `HTML` files using `Unstructured`.
You can run the loader in one of two modes: "single" and "elem... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/html.html |
5eba5abead52-0 | Source code for langchain.document_loaders.blackboard
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.document_loaders.directory import DirectoryLoader
from langchain.docum... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
5eba5abead52-1 | 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.
basic_auth: Basic auth credentials.
cookies: Cook... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
5eba5abead52-2 | except ImportError:
raise ImportError(
"BeautifulSoup4 is required for BlackboardLoader. "
"Please install it with `pip install beautifulsoup4`."
)
[docs] def load(self) -> List[Document]:
"""Load data into Document objects.
Returns:
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
5eba5abead52-3 | .replace("/", "_")
.replace(":", "_")
.replace(",", "_")
.replace("?", "_")
.replace("'", "_")
.replace("!", "_")
.replace('"', "_")
)
# Get the folder path
folder_path = Path(".") / course_name_clean
return str(fold... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
5eba5abead52-4 | attachments.append(href)
return attachments
def _download_attachments(self, attachments: List[str]) -> None:
"""Download all attachments.
Args:
attachments: List of attachments.
"""
# Make sure the folder exists
Path(self.folder_path).mkdir(parents=True, e... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
5eba5abead52-5 | filename = self.parse_filename(response.url)
# Write the file to disk
with open(Path(self.folder_path) / filename, "wb") as f:
f.write(response.content)
[docs] def parse_filename(self, url: str) -> str:
"""Parse the filename from an url.
Args:
url: Url to parse... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
5eba5abead52-6 | " HERE>_1&content_id=_<YOUR CONTENT ID HERE>_1&mode=reset",
"<YOUR BBROUTER COOKIE HERE>",
load_all_recursively=True,
)
documents = loader.load()
print(f"Loaded {len(documents)} pages of PDFs from {loader.web_path}") | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
398d66bda4ba-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):
"""Load `BiliBili` video transcript... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/bilibili.html |
398d66bda4ba-1 | raise ValueError(f"{url} is not bilibili url.")
else:
raise ValueError(f"{url} is not bilibili url.")
video_info = sync(v.get_info())
video_info.update({"url": url})
sub = sync(v.get_subtitle(video_info["cid"]))
# Get subtitle url
sub_list = sub["subti... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/bilibili.html |
e512927f4040-0 | Source code for langchain.document_loaders.googledrive
# 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:
# https://developers.google.com/drive/api/quickstart/... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
e512927f4040-1 | """Whether to load recursively. Only applies when folder_id is given."""
file_types: Optional[Sequence[str]] = None
"""The file types to load. Only applies when folder_id is given."""
load_trashed_files: bool = False
"""Whether to load trashed files. Only applies when folder_id is given."""
# NOTE(M... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
e512927f4040-2 | type_mapping = {
"document": "application/vnd.google-apps.document",
"sheet": "application/vnd.google-apps.spreadsheet",
"pdf": "application/pdf",
}
allowed_types = list(type_mapping.keys()) + list(type_mapping.values())
short_names = "... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
e512927f4040-3 | from google_auth_oauthlib.flow import InstalledAppFlow
except ImportError:
raise ImportError(
"You must run "
"`pip install --upgrade "
"google-api-python-client google-auth-httplib2 "
"google-auth-oauthlib` "
"to use th... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
e512927f4040-4 | sheets = spreadsheet.get("sheets", [])
documents = []
for sheet in sheets:
sheet_name = sheet["properties"]["title"]
result = (
sheets_service.spreadsheets()
.values()
.get(spreadsheetId=id, range=sheet_name)
.execut... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
e512927f4040-5 | .execute()
)
request = service.files().export_media(fileId=id, mimeType="text/plain")
fh = BytesIO()
downloader = MediaIoBaseDownload(fh, request)
done = False
try:
while done is False:
status, done = downloader.next_chunk()
except Http... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
e512927f4040-6 | continue
elif file["mimeType"] == "application/vnd.google-apps.document":
returns.append(self._load_document_from_id(file["id"])) # type: ignore
elif file["mimeType"] == "application/vnd.google-apps.spreadsheet":
returns.extend(self._load_sheet_from_id(file["id"]... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
e512927f4040-7 | 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_from_id(self, id: str) -> List[Document]:
"""Load a file from an ID."""
from io import BytesIO
from googleapi... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
e512927f4040-8 | ]
def _load_file_from_ids(self) -> List[Document]:
"""Load files from a list of IDs."""
if not self.file_ids:
raise ValueError("file_ids must be set")
docs = []
for file_id in self.file_ids:
docs.extend(self._load_file_from_id(file_id))
return docs
[do... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
b4161427fcfa-0 | Source code for langchain.document_loaders.confluence
import logging
from enum import Enum
from io import BytesIO
from typing import Any, Callable, Dict, List, Optional, Union
import requests
from tenacity import (
before_sleep_log,
retry,
stop_after_attempt,
wait_exponential,
)
from langchain.docstore.... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
b4161427fcfa-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/latest/_modules/langchain/document_loaders/confluence.html |
b4161427fcfa-2 | :param oauth2: _description_, defaults to {}
:type oauth2: dict, optional
:param token: _description_, defaults to None
:type token: str, optional
:param cloud: _description_, defaults to True
:type cloud: bool, optional
:param number_of_retries: How many times to retry, defaults to 3
:type ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
b4161427fcfa-3 | oauth2=oauth2,
token=token,
)
if errors:
raise ValueError(f"Error(s) while validating input: {errors}")
try:
from atlassian import Confluence # noqa: F401
except ImportError:
raise ImportError(
"`atlassian` package not foun... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
b4161427fcfa-4 | if url is None:
errors.append("Must provide `base_url`")
if (api_key and not username) or (username and not api_key):
errors.append(
"If one of `api_key` or `username` is provided, "
"the other must be as well."
)
non_null_creds = list(... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
b4161427fcfa-5 | include_archived_content: bool = False,
include_attachments: bool = False,
include_comments: bool = False,
content_format: ContentFormat = ContentFormat.STORAGE,
limit: Optional[int] = 50,
max_pages: Optional[int] = 1000,
ocr_languages: Optional[str] = None,
keep_... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
b4161427fcfa-6 | :type content_format: ContentFormat
:param limit: Maximum number of pages to retrieve per request, defaults to 50
:type limit: int, optional
:param max_pages: Maximum number of pages to retrieve in total, defaults 1000
:type max_pages: int, optional
:param ocr_languages: The lang... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
b4161427fcfa-7 | include_comments,
content_format,
ocr_languages=ocr_languages,
keep_markdown_format=keep_markdown_format,
keep_newlines=keep_newlines,
)
if label:
pages = self.paginate_request(
self.confluence.get_all_pages_... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
b4161427fcfa-8 | )(self.confluence.get_page_by_id)
page = get_page(
page_id=page_id, expand=f"{content_format.value},version"
)
if not include_restricted_content and not self.is_public_page(page):
continue
doc = self.process_page(
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
b4161427fcfa-9 | of pages with each request. We have to manually check if there
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/p... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
b4161427fcfa-10 | )
[docs] def process_pages(
self,
pages: List[dict],
include_restricted_content: bool,
include_attachments: bool,
include_comments: bool,
content_format: ContentFormat,
ocr_languages: Optional[str] = None,
keep_markdown_format: Optional[bool] = False,
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
b4161427fcfa-11 | except ImportError:
raise ImportError(
"`beautifulsoup4` package not found, please run "
"`pip install beautifulsoup4`"
)
if include_attachments:
attachment_texts = self.process_attachment(page["id"], ocr_languages)
else... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
b4161427fcfa-12 | return Document(
page_content=text,
metadata=metadata,
)
[docs] def process_attachment(
self,
page_id: str,
ocr_languages: Optional[str] = None,
) -> List[str]:
try:
from PIL import Image # noqa: F401
except ImportError:
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
b4161427fcfa-13 | texts.append(text)
return texts
[docs] def process_pdf(
self,
link: str,
ocr_languages: Optional[str] = None,
) -> str:
try:
import pytesseract # noqa: F401
from pdf2image import convert_from_bytes # noqa: F401
except ImportError:
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
b4161427fcfa-14 | text = ""
if (
response.status_code != 200
or response.content == b""
or response.content is None
):
return text
try:
image = Image.open(BytesIO(response.content))
except OSError:
return text
return pytessera... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
b4161427fcfa-15 | ):
return text
filename = os.path.basename(link)
# Getting the whole content of the url after filename,
# Example: ".csv?version=2&modificationDate=1631800010678&cacheVersion=1&api=v2"
file_extension = os.path.splitext(filename)[1]
if file_extension.startswith(
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
b4161427fcfa-16 | "please run `pip install pytesseract Pillow reportlab svglib`"
)
response = self.confluence.request(path=link, absolute=True)
text = ""
if (
response.status_code != 200
or response.content == b""
or response.content is None
):
r... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
4f566ccc33b2-0 | Source code for langchain.document_loaders.whatsapp_chat
import re
from pathlib import Path
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]def concatenate_rows(date: str, sender: str, text: str) -> str:
"""Combine message informa... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/whatsapp_chat.html |
4f566ccc33b2-1 | )
if result:
date, sender, text = result.groups()
if text not in ignore_lines:
text_content += concatenate_rows(date, sender, text)
metadata = {"source": str(p)}
return [Document(page_content=text_content, metadata=metadata)] | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/whatsapp_chat.html |
eb4b8f310bf5-0 | Source code for langchain.document_loaders.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_dict
STRIPE_ENDPOINTS = {
"balance_transac... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/stripe.html |
eb4b8f310bf5-1 | return [Document(page_content=text, metadata=metadata)]
def _get_resource(self) -> List[Document]:
endpoint = STRIPE_ENDPOINTS.get(self.resource)
if endpoint is None:
return []
return self._make_request(endpoint)
[docs] def load(self) -> List[Document]:
return self._ge... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/stripe.html |
0b6e8349e3b8-0 | 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 langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.pydantic_v1 import ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/github.html |
0b6e8349e3b8-1 | 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/latest/_modules/langchain/document_loaders/github.html |
0b6e8349e3b8-2 | [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/latest/_modules/langchain/document_loaders/github.html |
0b6e8349e3b8-3 | """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/latest/_modules/langchain/document_loaders/github.html |
0b6e8349e3b8-4 | return query_params
@property
def url(self) -> str:
"""Create URL for GitHub API."""
return f"https://api.github.com/repos/{self.repo}/issues?{self.query_params}" | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/github.html |
c87b0c68f7b1-0 | Source code for langchain.document_loaders.dropbox
# Prerequisites:
# 1. Create a Dropbox app.
# 2. Give the app these scope permissions: `files.metadata.read`
# and `files.content.read`.
# 3. Generate access token: https://www.dropbox.com/developers/apps/create.
# 4. `pip install dropbox` (requires `pip install uns... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/dropbox.html |
c87b0c68f7b1-1 | if values.get("dropbox_folder_path") is None and not values.get(
"dropbox_file_paths"
):
raise ValueError("Must specify either folder_path or file_paths")
return values
def _create_dropbox_client(self) -> Any:
"""Create a Dropbox client."""
try:
fr... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/dropbox.html |
c87b0c68f7b1-2 | def _load_file_from_path(self, file_path: str) -> Optional[Document]:
"""Load a file from a Dropbox path."""
dbx = self._create_dropbox_client()
try:
from dropbox import exceptions
except ImportError:
raise ImportError("You must run " "`pip install dropbox")
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/dropbox.html |
c87b0c68f7b1-3 | return None
return None
metadata = {
"source": f"dropbox://{file_path}",
"title": os.path.basename(file_path),
}
return Document(page_content=text, metadata=metadata)
def _load_documents_from_paths(self) -> List[Document]:
"""Load documents from a ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/dropbox.html |
cf7bc085624d-0 | Source code for langchain.document_loaders.news
"""Loader that uses unstructured to load HTML files."""
import logging
from typing import Any, Iterator, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
logger = logging.getLogger(__name__)
[docs]class NewsURLLo... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/news.html |
cf7bc085624d-1 | ) -> None:
"""Initialize with file path."""
try:
import newspaper # noqa:F401
self.__version = newspaper.__version__
except ImportError:
raise ImportError(
"newspaper package not found, please install it with "
"`pip install ne... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/news.html |
cf7bc085624d-2 | continue
else:
raise e
metadata = {
"title": getattr(article, "title", ""),
"link": getattr(article, "url", getattr(article, "canonical_link", "")),
"authors": getattr(article, "authors", []),
"language": get... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/news.html |
35dae2f00630-0 | Source code for langchain.document_loaders.sharepoint
"""Loader that loads data from Sharepoint Document Library"""
from __future__ import annotations
from typing import Iterator, List, Optional, Sequence
from langchain.docstore.document import Document
from langchain.document_loaders.base_o365 import (
O365BaseLoa... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/sharepoint.html |
35dae2f00630-1 | raise ValueError(f"There isn't a Drive with id {self.document_library_id}.")
blob_parser = get_parser("default")
if self.folder_path:
target_folder = drive.get_item_by_path(self.folder_path)
if not isinstance(target_folder, Folder):
raise ValueError(f"There isn't ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/sharepoint.html |
37b2b2445bde-0 | Source code for langchain.document_loaders.pyspark_dataframe
import itertools
import logging
import sys
from typing import TYPE_CHECKING, Any, Iterator, List, Optional, Tuple
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
logger = logging.getLogger(__file__)
if T... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pyspark_dataframe.html |
37b2b2445bde-1 | self.fraction_of_memory = fraction_of_memory
self.num_rows, self.max_num_rows = self.get_num_rows()
self.rdd_df = self.df.rdd.map(list)
self.column_names = self.df.columns
[docs] def get_num_rows(self) -> Tuple[int, int]:
"""Gets the number of "feasible" rows for the DataFrame"""
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pyspark_dataframe.html |
37b2b2445bde-2 | )
lazy_load_iterator = self.lazy_load()
return list(itertools.islice(lazy_load_iterator, self.num_rows)) | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pyspark_dataframe.html |
cf5a805f6ac5-0 | Source code for langchain.document_loaders.blockchain
import os
import re
import time
from enum import Enum
from typing import List, Optional
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class BlockchainType(Enum):
"""Enumerator of the... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blockchain.html |
cf5a805f6ac5-1 | """
[docs] def __init__(
self,
contract_address: str,
blockchainType: BlockchainType = BlockchainType.ETH_MAINNET,
api_key: str = "docs-demo",
startToken: str = "",
get_all_tokens: bool = False,
max_execution_time: Optional[int] = None,
):
"""
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blockchain.html |
cf5a805f6ac5-2 | f"&startToken={current_start_token}"
)
response = requests.get(url)
if response.status_code != 200:
raise ValueError(
f"Request failed with status code {response.status_code}"
)
items = response.json()["nfts"]
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blockchain.html |
cf5a805f6ac5-3 | else:
value_int = int(tokenId)
result = value_int + 1
if value_type == "hex_0x":
return "0x" + format(result, "0" + str(len(tokenId) - 2) + "x")
elif value_type == "hex_0xbf":
return "0xbf" + format(result, "0" + str(len(tokenId) - 4) + "x")
else:
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blockchain.html |
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