id stringlengths 14 16 | text stringlengths 31 3.14k | source stringlengths 58 124 |
|---|---|---|
85a93ca3ea2a-3 | Returns:
Folder path.
"""
# Get the course name
course_name = soup.find("span", {"id": "crumb_1"})
if course_name is None:
raise ValueError("No course name found.")
course_name = course_name.text.strip()
# Prepare the folder path
course_nam... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
85a93ca3ea2a-4 | if content_list is None:
raise ValueError("No content list found.")
content_list: BeautifulSoup # type: ignore
# Get all attachments
attachments = []
for attachment in content_list.find_all("ul", {"class": "attachments"}):
attachment: Tag # type: ignore
... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
85a93ca3ea2a-5 | """Get all relative paths in the navbar."""
relative_paths = []
course_menu = soup.find("ul", {"class": "courseMenu"})
if course_menu is None:
raise ValueError("No course menu found.")
for link in course_menu.find_all("a"):
href = link.get("href")
if h... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
85a93ca3ea2a-6 | """Parse the filename from a url.
Args:
url: Url to parse the filename from.
Returns:
The filename.
Raises:
ValueError: If the filename could not be parsed.
"""
filename_matches = re.search(r"filename%2A%3DUTF-8%27%27(.+)", url)
if file... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
ae7cabe61274-0 | Source code for langchain.document_loaders.git
import os
from typing import Callable, List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class GitLoader(BaseLoader):
"""Loads files from a Git repository into a list of documents.
Repositor... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/git.html |
ae7cabe61274-1 | raise ValueError(f"Path {self.repo_path} does not exist")
elif self.clone_url:
repo = Repo.clone_from(self.clone_url, self.repo_path)
repo.git.checkout(self.branch)
else:
repo = Repo(self.repo_path)
repo.git.checkout(self.branch)
docs: List[Documen... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/git.html |
ae7cabe61274-2 | return docs
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 26, 2023. | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/git.html |
6ed6fa4c085b-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... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/blockchain.html |
6ed6fa4c085b-1 | 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]:
url = (
f"https://{self.blockchainType}.g.alchemy.co... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/blockchain.html |
044b3f7ad14c-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) -... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/facebook_chat.html |
044b3f7ad14c-1 | df_normalized_messages = pd.DataFrame(normalized_messages)
# Only keep plain text messages
# (no services, nor links, hashtags, code, bold ...)
df_filtered = df_normalized_messages[
(df_normalized_messages.content.apply(lambda x: type(x) == str))
]
df_filtered = df_fi... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/facebook_chat.html |
4546b7ca0dc6-0 | 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... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/diffbot.html |
4546b7ca0dc6-1 | return response.json() if response.ok else {}
[docs] def load(self) -> List[Document]:
"""Extract text from Diffbot on all the URLs and return Document instances"""
docs: List[Document] = list()
for url in self.urls:
try:
data = self._get_diffbot_data(url)
... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/diffbot.html |
55366b47236a-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... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/image.html |
51276589e00a-0 | Source code for langchain.document_loaders.duckdb_loader
from typing import Dict, List, Optional, cast
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class DuckDBLoader(BaseLoader):
"""Loads a query result from DuckDB into a list of documents.
Each ... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/duckdb_loader.html |
51276589e00a-1 | "Please install it with `pip install duckdb`."
)
docs = []
with duckdb.connect(
database=self.database, read_only=self.read_only, config=self.config
) as con:
query_result = con.execute(self.query)
results = query_result.fetchall()
desc... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/duckdb_loader.html |
9291fb49550e-0 | Source code for langchain.document_loaders.notion
"""Loader that loads Notion 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 NotionDirectoryLoader(BaseLoader):
"""Loader that load... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/notion.html |
f8cd1481e80f-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... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/obsidian.html |
f8cd1481e80f-1 | def _remove_front_matter(self, content: str) -> str:
"""Remove front matter metadata from the given content."""
if not self.collect_metadata:
return content
return self.FRONT_MATTER_REGEX.sub("", content)
[docs] def load(self) -> List[Document]:
"""Load documents."""
... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/obsidian.html |
af70b8e8d9f5-0 | Source code for langchain.document_loaders.azure_blob_storage_file
"""Loading logic for loading documents from an Azure Blob Storage 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_... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/azure_blob_storage_file.html |
af70b8e8d9f5-1 | os.makedirs(os.path.dirname(file_path), exist_ok=True)
with open(f"{file_path}", "wb") as file:
blob_data = client.download_blob()
blob_data.readinto(file)
loader = UnstructuredFileLoader(file_path)
return loader.load()
By Harrison Chase
© C... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/azure_blob_storage_file.html |
3216c3e931e2-0 | Source code for langchain.document_loaders.twitter
"""Twitter document loader."""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Sequence, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
if TYPE_CHEC... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/twitter.html |
3216c3e931e2-1 | """Load tweets."""
tweepy = _dependable_tweepy_import()
api = tweepy.API(self.auth, parser=tweepy.parsers.JSONParser())
results: List[Document] = []
for username in self.twitter_users:
tweets = api.user_timeline(screen_name=username, count=self.number_tweets)
user... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/twitter.html |
3216c3e931e2-2 | return cls(
auth_handler=auth,
twitter_users=twitter_users,
number_tweets=number_tweets,
)
[docs] @classmethod
def from_secrets(
cls,
access_token: str,
access_token_secret: str,
consumer_key: str,
consumer_secret: str,
t... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/twitter.html |
a09d6a09c0e9-0 | Source code for langchain.document_loaders.powerpoint
"""Loader that loads powerpoint files."""
import os
from typing import List
from langchain.document_loaders.unstructured import UnstructuredFileLoader
[docs]class UnstructuredPowerPointLoader(UnstructuredFileLoader):
"""Loader that uses unstructured to load powe... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/powerpoint.html |
a09d6a09c0e9-1 | )
if is_ppt:
from unstructured.partition.ppt import partition_ppt
return partition_ppt(filename=self.file_path, **self.unstructured_kwargs)
else:
from unstructured.partition.pptx import partition_pptx
return partition_pptx(filename=self.file_path, **self.u... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/powerpoint.html |
d1278cb61a60-0 | 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] ... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/azlyrics.html |
f69391bf857c-0 | Source code for langchain.document_loaders.gcs_directory
"""Loading logic for loading documents from an GCS directory."""
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.gcs_file import GCSFileLoader
[docs]cl... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/gcs_directory.html |
f69391bf857c-1 | return docs
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 26, 2023. | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/gcs_directory.html |
567cd7f2ea83-0 | Source code for langchain.document_loaders.csv_loader
from csv import DictReader
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 d... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/csv_loader.html |
567cd7f2ea83-1 | "quotechar": '"',
}
else:
self.csv_args = csv_args
[docs] def load(self) -> List[Document]:
docs = []
with open(self.file_path, newline="", encoding=self.encoding) as csvfile:
csv = DictReader(csvfile, **self.csv_args) # type: ignore
for i, row... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/csv_loader.html |
57da1f613fb0-0 | 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... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/slack_directory.html |
57da1f613fb0-1 | except KeyError:
return {}
[docs] def load(self) -> List[Document]:
"""Load and return documents from the Slack directory dump."""
docs = []
with zipfile.ZipFile(self.zip_path, "r") as zip_file:
for channel_path in zip_file.namelist():
channel_name ... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/slack_directory.html |
57da1f613fb0-2 | return Document(
page_content=text,
metadata=metadata,
)
def _get_message_metadata(self, message: dict, channel_name: str) -> dict:
"""Create and return metadata for a given message and channel."""
timestamp = message.get("ts", "")
user = message.get("user", "... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/slack_directory.html |
8d0f1ad67d4b-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... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/notiondb.html |
8d0f1ad67d4b-1 | }
[docs] def load(self) -> List[Document]:
"""Load documents from the Notion database.
Returns:
List[Document]: List of documents.
"""
page_ids = self._retrieve_page_ids()
return list(self.load_page(page_id) for page_id in page_ids)
def _retrieve_page_ids(
... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/notiondb.html |
8d0f1ad67d4b-2 | if prop_type == "rich_text":
value = (
prop_data["rich_text"][0]["plain_text"]
if prop_data["rich_text"]
else None
)
elif prop_type == "title":
value = (
prop_data["title"][0]["pla... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/notiondb.html |
8d0f1ad67d4b-3 | cur_result_text_arr.append(
"\t" * num_tabs + rich_text["text"]["content"]
)
if result["has_children"]:
children_text = self._load_blocks(
result["id"], num_tabs=num_tabs + 1
)
... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/notiondb.html |
d2d7b5c9eaea-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
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class ReadTheDocsLoader(B... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/readthedocs.html |
d2d7b5c9eaea-1 | if len(text) == 0:
text = soup.find_all("div", {"role": "main"})
if len(text) != 0:
text = text[0].get_text()
else:
text = ""
return "\n".join([t for t in text.split("\n") if t])
docs = []
for p in Path(self.file_path).r... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/readthedocs.html |
db701136bdcd-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."""
... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/gutenberg.html |
9e340a59fff1-0 | 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... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
9e340a59fff1-1 | document_ids: Optional[List[str]] = None
file_ids: Optional[List[str]] = None
recursive: bool = False
@root_validator
def validate_folder_id_or_document_ids(
cls, values: Dict[str, Any]
) -> Dict[str, Any]:
"""Validate that either folder_id or document_ids is set, but not both."""
... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
9e340a59fff1-2 | from google.oauth2 import service_account
from google.oauth2.credentials import Credentials
from google_auth_oauthlib.flow import InstalledAppFlow
except ImportError:
raise ImportError(
"You must run"
"`pip install --upgrade "
"... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
9e340a59fff1-3 | creds = self._load_credentials()
sheets_service = build("sheets", "v4", credentials=creds)
spreadsheet = sheets_service.spreadsheets().get(spreadsheetId=id).execute()
sheets = spreadsheet.get("sheets", [])
documents = []
for sheet in sheets:
sheet_name = sheet["proper... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
9e340a59fff1-4 | return documents
def _load_document_from_id(self, id: str) -> Document:
"""Load a document from an ID."""
from io import BytesIO
from googleapiclient.discovery import build
from googleapiclient.errors import HttpError
from googleapiclient.http import MediaIoBaseDownload
... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
9e340a59fff1-5 | 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... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
9e340a59fff1-6 | )
.execute()
)
files = results.get("files", [])
returns = []
for file in files:
if file["mimeType"] == "application/vnd.google-apps.folder":
if self.recursive:
returns.extend(self._fetch_files_recursive(service, file["id"]))
... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
9e340a59fff1-7 | content = fh.getvalue()
from PyPDF2 import PdfReader
pdf_reader = PdfReader(BytesIO(content))
return [
Document(
page_content=page.extract_text(),
metadata={
"source": f"https://drive.google.com/file/d/{id}/view",
... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
ae68c038b487-0 | 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):
... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/gitbook.html |
ae68c038b487-1 | else:
web_paths = web_page
super().__init__(web_paths)
self.load_all_paths = load_all_paths
self.content_selector = content_selector
[docs] def load(self) -> List[Document]:
"""Fetch text from one single GitBook page."""
if self.load_all_paths:
soup_inf... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/gitbook.html |
ae68c038b487-2 | title = title_if_exists.text if title_if_exists else ""
metadata = {"source": custom_url or self.web_path, "title": title}
return Document(page_content=content, metadata=metadata)
def _get_paths(self, soup: Any) -> List[str]:
"""Fetch all relative paths in the navbar."""
return [urlp... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/gitbook.html |
db484fc02657-0 | 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... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/dataframe.html |
db484fc02657-1 | return result
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 26, 2023. | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/dataframe.html |
5229845c7e21-0 | Source code for langchain.document_loaders.text
from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class TextLoader(BaseLoader):
"""Load text files."""
def __init__(self, file_path: str, encoding: Optional[str] = None):... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/text.html |
08667f8c168b-0 | Source code for langchain.document_loaders.ifixit
"""Loader that loads iFixit data."""
from typing import List, Optional
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.web_base import WebBaseLoader
IFIXIT_BASE_URL =... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
08667f8c168b-1 | raise ValueError(
"web path must start with /Device, /Guide, /Teardown or /Answers"
)
pieces = [x for x in path.split("/") if x]
"""Teardowns are just guides by a different name"""
self.page_type = pieces[0] if pieces[0] != "Teardown" else "Guide"
if self.page... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
08667f8c168b-2 | )
data = res.json()
results = data["results"]
output = []
for result in results:
try:
loader = IFixitLoader(result["url"])
if loader.page_type == "Device":
output += loader.load_device(include_guides=False)
e... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
08667f8c168b-3 | output.append("\n### Most Helpful Answer")
else:
output.append("\n### Other Answer")
output += [
a.text.strip() for a in answer.select(".post-content .post-text")
]
output.append("\n")
text = "\n".join(output).strip()
metada... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
08667f8c168b-4 | for guide_url in guide_urls:
documents.append(IFixitLoader(guide_url).load()[0])
return documents
[docs] def load_guide(self, url_override: Optional[str] = None) -> List[Document]:
if url_override is None:
url = IFIXIT_BASE_URL + "/guides/" + self.id
else:
... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
08667f8c168b-5 | doc_parts.append(
"\n\n## "
+ (
row["title"]
if row["title"] != ""
else "Step {}".format(row["orderby"])
)
)
for line in row["lines"]:
doc_parts.append(line["text_raw"])
... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
1c8ab4f7e063-0 | Source code for langchain.document_loaders.confluence
"""Load Data from a Confluence Space"""
import logging
from typing import Any, Callable, List, Optional, Union
from tenacity import (
before_sleep_log,
retry,
stop_after_attempt,
wait_exponential,
)
from langchain.docstore.document import Document
fr... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
1c8ab4f7e063-1 | loader = ConfluenceLoader(
url="https://yoursite.atlassian.com/wiki",
username="me",
api_key="12345"
)
documents = loader.load(space_key="SPACE",limit=50)
:param url: _description_
:type url: str
:param api_key: _description_, defaults ... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
1c8ab4f7e063-2 | username: Optional[str] = None,
oauth2: Optional[dict] = None,
cloud: Optional[bool] = True,
number_of_retries: Optional[int] = 3,
min_retry_seconds: Optional[int] = 2,
max_retry_seconds: Optional[int] = 10,
confluence_kwargs: Optional[dict] = None,
):
conflue... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
1c8ab4f7e063-3 | )
[docs] @staticmethod
def validate_init_args(
url: Optional[str] = None,
api_key: Optional[str] = None,
username: Optional[str] = None,
oauth2: Optional[dict] = None,
) -> Union[List, None]:
"""Validates proper combinations of init arguments"""
errors = []
... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
1c8ab4f7e063-4 | self,
space_key: Optional[str] = None,
page_ids: Optional[List[str]] = None,
label: Optional[str] = None,
cql: Optional[str] = None,
include_attachments: bool = False,
include_comments: bool = False,
limit: Optional[int] = 50,
max_pages: Optional[int] = 10... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
1c8ab4f7e063-5 | :return: _description_
:rtype: List[Document]
"""
if not space_key and not page_ids and not label and not cql:
raise ValueError(
"Must specify at least one among `space_key`, `page_ids`,"
"`label`, `cql` parameters."
)
docs = []
... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
1c8ab4f7e063-6 | reraise=True,
stop=stop_after_attempt(
self.number_of_retries # type: ignore[arg-type]
),
wait=wait_exponential(
multiplier=1, # type: ignore[arg-type]
min=self.min_retry_seconds, # typ... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
1c8ab4f7e063-7 | 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 used to retrieve docs
:type retrieval_method: callable
:return: List of... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
1c8ab4f7e063-8 | "`beautifulsoup4` package not found, please run"
" `pip install beautifulsoup4`"
)
if include_attachments:
attachment_texts = self.process_attachment(page["id"])
else:
attachment_texts = []
text = BeautifulSoup(
page["body"]["storag... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
1c8ab4f7e063-9 | )
# depending on setup you may also need to set the correct path for
# poppler and tesseract
attachments = self.confluence.get_attachments_from_content(page_id)["results"]
texts = []
for attachment in attachments:
media_type = attachment["metadata"]["mediaType"]
... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
1c8ab4f7e063-10 | except ImportError:
raise ImportError(
"`pytesseract` or `pdf2image` package not found,"
"please run `pip install pytesseract pdf2image`"
)
import pytesseract # noqa: F811
from pdf2image import convert_from_bytes # noqa: F811
response = s... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
1c8ab4f7e063-11 | except OSError:
return text
return pytesseract.image_to_string(image)
[docs] def process_doc(self, link: str) -> str:
try:
from io import BytesIO # noqa: F401
import docx2txt # noqa: F401
except ImportError:
raise ImportError(
... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
1c8ab4f7e063-12 | text += "\n"
text += "\n"
return text
[docs] def process_svg(self, link: str) -> str:
try:
from io import BytesIO # noqa: F401
import pytesseract # noqa: F401
from PIL import Image # noqa: F401
from reportlab.graphics import renderPM # n... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
d2ac4d9c3f01-0 | Source code for langchain.document_loaders.word_document
"""Loader that loads word documents."""
import os
from typing import List
from langchain.document_loaders.unstructured import UnstructuredFileLoader
[docs]class UnstructuredWordDocumentLoader(UnstructuredFileLoader):
"""Loader that uses unstructured to load w... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/word_document.html |
d2ac4d9c3f01-1 | )
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_docx
return partition_docx(filename=self.file_path, **self.u... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/word_document.html |
5cf9814c3673-0 | 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:
if ... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/chatgpt.html |
5cf9814c3673-1 | messages = d["mapping"]
text = "".join(
[
concatenate_rows(messages[key]["message"], title)
for idx, key in enumerate(messages)
if not (
idx == 0
and messages[key]["message"]["author"]... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/chatgpt.html |
5658205b4657-0 | 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."... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/html.html |
378f1edce068-0 | 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... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/roam.html |
f144930656d9-0 | Source code for langchain.document_loaders.evernote
"""Load documents from Evernote.
https://gist.github.com/foxmask/7b29c43a161e001ff04afdb2f181e31c
"""
import hashlib
from base64 import b64decode
from time import strptime
from typing import Any, Dict, List
from langchain.docstore.document import Document
from langcha... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/evernote.html |
f144930656d9-1 | elif elem.tag == "resource":
resources.append(_parse_resource(elem))
elif elem.tag == "created" or elem.tag == "updated":
note_dict[elem.tag] = strptime(elem.text, "%Y%m%dT%H%M%SZ")
else:
note_dict[elem.tag] = elem.text
note_dict["resource"] = resources
return... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/evernote.html |
f144930656d9-2 | """Load document from EverNote file."""
text = _parse_note_xml(self.file_path)
metadata = {"source": self.file_path}
return [Document(page_content=text, metadata=metadata)]
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 26, 2023. | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/evernote.html |
6921466f9163-0 | 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... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/web_base.html |
6921466f9163-1 | return metadata
[docs]class WebBaseLoader(BaseLoader):
"""Loader that uses urllib and beautiful soup to load webpages."""
web_paths: List[str]
requests_per_second: int = 2
"""Max number of concurrent requests to make."""
default_parser: str = "html.parser"
"""Default parser to use for BeautifulS... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/web_base.html |
6921466f9163-2 | logger.info(
"fake_useragent not found, using default user agent."
"To get a realistic header for requests, `pip install fake_useragent`."
)
@property
def web_path(self) -> str:
if len(self.web_paths) > 1:
raise ValueError("Multiple webpaths found.... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/web_base.html |
6921466f9163-3 | """Fetch all urls concurrently with rate limiting."""
semaphore = asyncio.Semaphore(self.requests_per_second)
tasks = []
for url in urls:
task = asyncio.ensure_future(self._fetch_with_rate_limit(url, semaphore))
tasks.append(task)
try:
from tqdm.asynci... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/web_base.html |
6921466f9163-4 | 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"):
parser = "xml"
else:
... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/web_base.html |
6921466f9163-5 | soup = self._scrape(path)
text = soup.get_text()
metadata = _build_metadata(soup, path)
docs.append(Document(page_content=text, metadata=metadata))
return docs
[docs] def aload(self) -> List[Document]:
"""Load text from the urls in web_path async into Documents."""... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/web_base.html |
963f84a30bfe-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... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/s3_file.html |
c37072a17311-0 | 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... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/html_bs.html |
c37072a17311-1 | soup = BeautifulSoup(f, **self.bs_kwargs)
text = soup.get_text()
if soup.title:
title = str(soup.title.string)
else:
title = ""
metadata: Dict[str, Union[str, None]] = {
"source": self.file_path,
"title": title,
}
return [Do... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/html_bs.html |
a266070547fb-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... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/imsdb.html |
d37230fc2d0d-0 | Source code for langchain.document_loaders.azure_blob_storage_container
"""Loading logic for loading documents from an Azure Blob Storage container."""
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.azure_blob_storage_file import (
AzureBlobStorageFileLoader... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/azure_blob_storage_container.html |
d37230fc2d0d-1 | loader = AzureBlobStorageFileLoader(
self.conn_str, self.container, blob.name # type: ignore
)
docs.extend(loader.load())
return docs
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 26, 2023. | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/azure_blob_storage_container.html |
c2e0612818df-0 | Source code for langchain.document_loaders.sitemap
"""Loader that fetches a sitemap and loads those URLs."""
import re
from typing import Any, Callable, List, Optional
from langchain.document_loaders.web_base import WebBaseLoader
from langchain.schema import Document
def _default_parsing_function(content: Any) -> str:
... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/sitemap.html |
c2e0612818df-1 | els = []
for url in soup.find_all("url"):
loc = url.find("loc")
if not loc:
continue
if self.filter_urls and not any(
re.match(r, loc.text) for r in self.filter_urls
):
continue
els.append(
... | /content/https://python.langchain.com/en/latest/_modules/langchain/document_loaders/sitemap.html |
8287855dad66-0 | Source code for langchain.llms.llamacpp
"""Wrapper around llama.cpp."""
import logging
from typing import Any, Dict, Generator, List, Optional
from pydantic import Field, root_validator
from langchain.llms.base import LLM
logger = logging.getLogger(__name__)
[docs]class LlamaCpp(LLM):
"""Wrapper around the llama.cp... | /content/https://python.langchain.com/en/latest/_modules/langchain/llms/llamacpp.html |
8287855dad66-1 | If -1, the number of parts is automatically determined."""
seed: int = Field(-1, alias="seed")
"""Seed. If -1, a random seed is used."""
f16_kv: bool = Field(True, alias="f16_kv")
"""Use half-precision for key/value cache."""
logits_all: bool = Field(False, alias="logits_all")
"""Return logits f... | /content/https://python.langchain.com/en/latest/_modules/langchain/llms/llamacpp.html |
8287855dad66-2 | """The temperature to use for sampling."""
top_p: Optional[float] = 0.95
"""The top-p value to use for sampling."""
logprobs: Optional[int] = Field(None)
"""The number of logprobs to return. If None, no logprobs are returned."""
echo: Optional[bool] = False
"""Whether to echo the prompt."""
... | /content/https://python.langchain.com/en/latest/_modules/langchain/llms/llamacpp.html |
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