id stringlengths 14 15 | text stringlengths 49 2.47k | source stringlengths 61 166 |
|---|---|---|
01e330ed0de2-0 | 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 |
01e330ed0de2-1 | # 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 |
159912d219c2-0 | Source code for langchain.document_loaders.url_selenium
"""Loader that uses Selenium to load a page, then uses unstructured to load the html.
"""
import logging
from typing import TYPE_CHECKING, List, Literal, Optional, Union
if TYPE_CHECKING:
from selenium.webdriver import Chrome, Firefox
from langchain.docstore.d... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url_selenium.html |
159912d219c2-1 | import selenium # noqa:F401
except ImportError:
raise ImportError(
"selenium package not found, please install it with "
"`pip install selenium`"
)
try:
import unstructured # noqa:F401
except ImportError:
raise Imp... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url_selenium.html |
159912d219c2-2 | firefox_options = FirefoxOptions()
for arg in self.arguments:
firefox_options.add_argument(arg)
if self.headless:
firefox_options.add_argument("--headless")
if self.binary_location is not None:
firefox_options.binary_location = self.bin... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url_selenium.html |
13fc9bc7b719-0 | Source code for langchain.document_loaders.blackboard
"""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.document_loaders.d... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
13fc9bc7b719-1 | bbrouter: str,
load_all_recursively: bool = True,
basic_auth: Optional[Tuple[str, str]] = None,
cookies: Optional[dict] = None,
continue_on_failure: Optional[bool] = False,
):
"""Initialize with blackboard course url.
The BbRouter cookie is required for most blackboar... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
13fc9bc7b719-2 | self.continue_on_failure = continue_on_failure
self.check_bs4()
[docs] def check_bs4(self) -> None:
"""Check if BeautifulSoup4 is installed.
Raises:
ImportError: If BeautifulSoup4 is not installed.
"""
try:
import bs4 # noqa: F401
except Import... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
13fc9bc7b719-3 | 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_name_clean = (
unquote(course_name)
.replace(" ", "_")
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
13fc9bc7b719-4 | attachment: Tag # type: ignore
for link in attachment.find_all("a"):
link: Tag # type: ignore
href = link.get("href")
# Only add if href is not None and does not start with #
if href is not None and not href.startswith("#"):
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
13fc9bc7b719-5 | """Download a file from an url.
Args:
path: Path to the file.
"""
# Get the file content
response = self.session.get(self.base_url + path, allow_redirects=True)
# Get the filename
filename = self.parse_filename(response.url)
# Write the file to disk
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
13fc9bc7b719-6 | return filename
if __name__ == "__main__":
loader = BlackboardLoader(
"https://<YOUR BLACKBOARD URL"
" HERE>/webapps/blackboard/content/listContent.jsp?course_id=_<YOUR COURSE ID"
" HERE>_1&content_id=_<YOUR CONTENT ID HERE>_1&mode=reset",
"<YOUR BBROUTER COOKIE HERE>",
load_... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
c306242295f5-0 | Source code for langchain.document_loaders.diffbot
"""Loader that uses Diffbot to load webpages in text format."""
import logging
from typing import Any, List
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
logger = logging.getLogger(__name__)
[doc... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/diffbot.html |
c306242295f5-1 | """Extract text from Diffbot on all the URLs and return Documents"""
docs: List[Document] = list()
for url in self.urls:
try:
data = self._get_diffbot_data(url)
text = data["objects"][0]["text"] if "objects" in data else ""
metadata = {"source"... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/diffbot.html |
86c31f8fe515-0 | Source code for langchain.document_loaders.larksuite
"""Loads LarkSuite (FeiShu) document json dump."""
import json
import urllib.request
from typing import Any, Iterator, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class LarkSuiteDocLoader(BaseLoad... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/larksuite.html |
86c31f8fe515-1 | )
raw_content_json = self._get_larksuite_api_json_data(
f"{api_url_prefix}/{self.document_id}/raw_content"
)
text = raw_content_json["data"]["content"]
metadata = {
"document_id": self.document_id,
"revision_id": metadata_json["data"]["document"]["revi... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/larksuite.html |
2701945504d7-0 | Source code for langchain.document_loaders.joplin
import json
import urllib
from datetime import datetime
from typing import Iterator, List, Optional
from langchain.document_loaders.base import BaseLoader
from langchain.schema import Document
from langchain.utils import get_from_env
LINK_NOTE_TEMPLATE = "joplin://x-cal... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/joplin.html |
2701945504d7-1 | f"{base_url}/notes?token={access_token}"
f"&fields=id,parent_id,title,body,created_time,updated_time&page={{page}}"
)
self._get_folder_url = (
f"{base_url}/folders/{{id}}?token={access_token}&fields=title"
)
self._get_tag_url = (
f"{base_url}/notes/{{i... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/joplin.html |
2701945504d7-2 | def _get_tags(self, note_id: str) -> List[str]:
req_tag = urllib.request.Request(self._get_tag_url.format(id=note_id))
with urllib.request.urlopen(req_tag) as response:
json_data = json.loads(response.read().decode())
return [tag["title"] for tag in json_data["items"]]
def _c... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/joplin.html |
7a7b4153010f-0 | Source code for langchain.document_loaders.ifixit
"""Loads iFixit data."""
from typing import List, Optional
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.web_base import WebBaseLoader
IFIXIT_BASE_URL = "https://ww... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
7a7b4153010f-1 | """Teardowns are just guides by a different name"""
self.page_type = pieces[0] if pieces[0] != "Teardown" else "Guide"
if self.page_type == "Guide" or self.page_type == "Answers":
self.id = pieces[2]
else:
self.id = pieces[1]
self.web_path = web_path
[docs] def... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
7a7b4153010f-2 | if loader.page_type == "Device":
output += loader.load_device(include_guides=False)
else:
output += loader.load()
except ValueError:
continue
return output
[docs] def load_questions_and_answers(
self, url_override: Op... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
7a7b4153010f-3 | [docs] def load_device(
self, url_override: Optional[str] = None, include_guides: bool = True
) -> List[Document]:
"""Loads a device
Args:
url_override: A URL to override the default URL.
include_guides: Whether to include guides linked to from the device.
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
7a7b4153010f-4 | else:
url = url_override
res = requests.get(url)
if res.status_code != 200:
raise ValueError(
"Could not load guide: " + self.web_path + "\n" + res.json()
)
data = res.json()
doc_parts = ["# " + data["title"], data["introduction_raw"]]
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
14dbe94e8f57-0 | Source code for langchain.document_loaders.pubmed
from typing import Iterator, List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.utilities.pubmed import PubMedAPIWrapper
[docs]class PubMedLoader(BaseLoader):
"""Loads a query result ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pubmed.html |
f6c47e0c3569-0 | Source code for langchain.document_loaders.onedrive
"""Loads data from OneDrive"""
from __future__ import annotations
import logging
import os
import tempfile
from enum import Enum
from pathlib import Path
from typing import TYPE_CHECKING, Dict, List, Optional, Type, Union
from pydantic import BaseModel, BaseSettings, ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/onedrive.html |
f6c47e0c3569-1 | mime_types_mapping[
file_type.value
] = "application/vnd.openxmlformats-officedocument.wordprocessingml.document" # noqa: E501
elif file_type.value == "pdf":
mime_types_mapping[file_type.value] = "application/pdf"
return mime_types_mapping
[docs]c... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/onedrive.html |
f6c47e0c3569-2 | self.settings.client_id,
self.settings.client_secret.get_secret_value(),
),
scopes=SCOPES,
token_backend=token_backend,
**{"raise_http_errors": False},
)
else:
token_backend = FileSystemTokenBackend(
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/onedrive.html |
f6c47e0c3569-3 | items = subfolder_drive.get_items()
except (IndexError, AttributeError):
raise FileNotFoundError("Path {} not exist.".format(self.folder_path))
return subfolder_drive
def _load_from_folder(self, folder: Type[Folder]) -> List[Document]:
"""
Loads all supported docu... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/onedrive.html |
f6c47e0c3569-4 | file_mime_types = file_types.fetch_mime_types()
with tempfile.TemporaryDirectory() as temp_dir:
file_path = f"{temp_dir}"
os.makedirs(os.path.dirname(file_path), exist_ok=True)
for object_id in self.object_ids if self.object_ids else [""]:
file = drive.get_ite... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/onedrive.html |
6ecaff7bdb66-0 | Source code for langchain.document_loaders.airbyte
"""Loads local airbyte json files."""
from typing import Any, Callable, Iterator, List, Mapping, Optional
from libs.langchain.langchain.utils.utils import guard_import
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoad... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/airbyte.html |
6ecaff7bdb66-1 | return self._integration._load_data(
stream_name=self._stream_name, state=self._state
)
[docs]class AirbyteHubspotLoader(AirbyteCDKLoader):
[docs] def __init__(
self,
config: Mapping[str, Any],
stream_name: str,
record_handler: Optional[RecordHandler] = None,
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/airbyte.html |
6ecaff7bdb66-2 | state: Optional[Any] = None,
) -> None:
source_class = guard_import(
"source_typeform", pip_name="airbyte-source-typeform"
).SourceTypeform
super().__init__(
config=config,
source_class=source_class,
stream_name=stream_name,
record_... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/airbyte.html |
6ecaff7bdb66-3 | record_handler=record_handler,
state=state,
)
[docs]class AirbyteSalesforceLoader(AirbyteCDKLoader):
[docs] def __init__(
self,
config: Mapping[str, Any],
stream_name: str,
record_handler: Optional[RecordHandler] = None,
state: Optional[Any] = None,
) -... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/airbyte.html |
2f79ebb12472-0 | 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 |
2f79ebb12472-1 | )
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 |
050ca86ec9c9-0 | Source code for langchain.document_loaders.docugami
"""Loads processed documents from Docugami."""
import io
import logging
import os
import re
from pathlib import Path
from typing import Any, Dict, List, Mapping, Optional, Sequence, Union
import requests
from pydantic import BaseModel, root_validator
from langchain.do... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
050ca86ec9c9-1 | """The minimum chunk size to use when parsing DGML. Defaults to 32."""
@root_validator
def validate_local_or_remote(cls, values: Dict[str, Any]) -> Dict[str, Any]:
"""Validate that either local file paths are given, or remote API docset ID.
Args:
values: The values to validate.
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
050ca86ec9c9-2 | 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 |
050ca86ec9c9-3 | """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 |
050ca86ec9c9-4 | # 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 details for the given docset ID"""
url = f"{self.api}/d... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
050ca86ec9c9-5 | """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 = requests.request(
"GET",
url,
headers={"Authorization":... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
050ca86ec9c9-6 | for entry in entries:
heading = entry.xpath("./pr:Heading", namespaces=ns)[0].text
value = " ".join(
entry.xpath("./pr:Value", namespaces=ns)[0].itertext()
).strip()
metadata[heading] = value
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
050ca86ec9c9-7 | ]
_project_details = self._project_details_for_docset_id(self.docset_id)
combined_project_metadata = {}
if _project_details:
# if there are any projects for this docset, load project metadata
for project in _project_details:
metadat... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
321e9965eec1-0 | Source code for langchain.document_loaders.web_base
"""Web base loader class."""
import asyncio
import logging
import warnings
from typing import Any, Dict, Iterator, List, Optional, Union
import aiohttp
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoa... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/web_base.html |
321e9965eec1-1 | requests_kwargs: Dict[str, Any] = {}
"""kwargs for requests"""
raise_for_status: bool = False
"""Raise an exception if http status code denotes an error."""
bs_get_text_kwargs: Dict[str, Any] = {}
"""kwargs for beatifulsoup4 get_text"""
[docs] def __init__(
self,
web_path: Union[s... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/web_base.html |
321e9965eec1-2 | self.session.headers = dict(headers)
self.session.verify = verify_ssl
self.continue_on_failure = continue_on_failure
if proxies:
self.session.proxies.update(proxies)
@property
def web_path(self) -> str:
if len(self.web_paths) > 1:
raise ValueError("Multipl... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/web_base.html |
321e9965eec1-3 | )
return ""
logger.exception(
f"Error fetching {url} and aborting, use continue_on_failure=True "
"to continue loading urls after encountering an error."
)
raise e
[docs] async def fetch_all(self, urls: List[s... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/web_base.html |
321e9965eec1-4 | if parser is None:
if url.endswith(".xml"):
parser = "xml"
else:
parser = self.default_parser
self._check_parser(parser)
final_results.append(BeautifulSoup(result, parser))
return final_results
def _scrape(se... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/web_base.html |
321e9965eec1-5 | """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(**self.bs_get_text_kwargs)
metadata = _build_metadata(soup, self.web_paths[... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/web_base.html |
61316a877410-0 | Source code for langchain.document_loaders.figma
"""Loads Figma files json dump."""
import json
import urllib.request
from typing import Any, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.utils import stringify_dict
[docs]class FigmaFileLoade... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/figma.html |
a0b5a21f5622-0 | Source code for langchain.document_loaders.azlyrics
"""Loads AZLyrics."""
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.web_base import WebBaseLoader
[docs]class AZLyricsLoader(WebBaseLoader):
"""Loads AZLyrics webpages."""
[docs] def load(self) -> List[... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/azlyrics.html |
42f0ad1bf8ed-0 | Source code for langchain.document_loaders.csv_loader
import csv
from typing import Any, Dict, List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.unstructured import (
UnstructuredFileLoader,
validate_unstructure... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/csv_loader.html |
42f0ad1bf8ed-1 | encoding: The encoding of the CSV file. Optional. Defaults to None.
"""
self.file_path = file_path
self.source_column = source_column
self.encoding = encoding
self.csv_args = csv_args or {}
[docs] def load(self) -> List[Document]:
"""Load data into document objects."""... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/csv_loader.html |
42f0ad1bf8ed-2 | --------
from langchain.document_loaders.csv_loader import UnstructuredCSVLoader
loader = UnstructuredCSVLoader("stanley-cups.csv", mode="elements")
docs = loader.load()
"""
[docs] def __init__(
self, file_path: str, mode: str = "single", **unstructured_kwargs: Any
):
"""
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/csv_loader.html |
d23f5667795f-0 | Source code for langchain.document_loaders.helpers
"""Document loader helpers."""
import concurrent.futures
from typing import List, NamedTuple, Optional, cast
[docs]class FileEncoding(NamedTuple):
"""A file encoding as the NamedTuple."""
encoding: Optional[str]
"""The encoding of the file."""
confidenc... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/helpers.html |
50d80b24e52c-0 | Source code for langchain.document_loaders.azure_blob_storage_container
"""Loading logic for loading documents from an Azure Blob Storage container."""
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.azure_blob_storage_file import (
AzureBlobStorageFileLoader... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/azure_blob_storage_container.html |
fe8c9e6f606f-0 | Source code for langchain.document_loaders.gcs_directory
"""Loading logic for loading documents from an GCS directory."""
from typing import Callable, List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.gcs_file import GC... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/gcs_directory.html |
fe8c9e6f606f-1 | # intermediate directories on the fly
if blob.name.endswith("/"):
continue
loader = GCSFileLoader(
self.project_name, self.bucket, blob.name, loader_func=self._loader_func
)
docs.extend(loader.load())
return docs | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/gcs_directory.html |
1b6c6038d0b5-0 | 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 ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/duckdb_loader.html |
1b6c6038d0b5-1 | self.page_content_columns = page_content_columns
self.metadata_columns = metadata_columns
[docs] def load(self) -> List[Document]:
try:
import duckdb
except ImportError:
raise ImportError(
"Could not import duckdb python package. "
"Plea... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/duckdb_loader.html |
478cab0255f0-0 | Source code for langchain.document_loaders.twitter
"""Twitter document loader."""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Sequence, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
if TYPE_CHEC... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/twitter.html |
478cab0255f0-1 | tweets = api.user_timeline(screen_name=username, count=self.number_tweets)
user = api.get_user(screen_name=username)
docs = self._format_tweets(tweets, user)
results.extend(docs)
return results
def _format_tweets(
self, tweets: List[Dict[str, Any]], user_info: dic... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/twitter.html |
478cab0255f0-2 | auth = tweepy.OAuthHandler(
access_token=access_token,
access_token_secret=access_token_secret,
consumer_key=consumer_key,
consumer_secret=consumer_secret,
)
return cls(
auth_handler=auth,
twitter_users=twitter_users,
nu... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/twitter.html |
362517d1472f-0 | Source code for langchain.document_loaders.epub
"""Loads EPub files."""
from typing import List
from langchain.document_loaders.unstructured import (
UnstructuredFileLoader,
satisfies_min_unstructured_version,
)
[docs]class UnstructuredEPubLoader(UnstructuredFileLoader):
"""Loader that uses Unstructured to ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/epub.html |
629ca59cfc20-0 | Source code for langchain.document_loaders.dataframe
"""Load from a Dataframe object"""
from typing import Any, Iterator, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class DataFrameLoader(BaseLoader):
"""Load Pandas DataFrame."""
[docs] def _... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/dataframe.html |
f31fa817b477-0 | Source code for langchain.document_loaders.image
"""Loads image files."""
from typing import List
from langchain.document_loaders.unstructured import UnstructuredFileLoader
[docs]class UnstructuredImageLoader(UnstructuredFileLoader):
"""Loader that uses Unstructured to load PNG and JPG files.
You can run the lo... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/image.html |
8a7a2428ae7e-0 | Source code for langchain.document_loaders.tomarkdown
"""Loads HTML to markdown using 2markdown."""
from __future__ import annotations
from typing import Iterator, List
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class ToMarkdownLoader(Ba... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/tomarkdown.html |
9f0e51363552-0 | Source code for langchain.document_loaders.xml
"""Loads Microsoft Excel files."""
from typing import Any, List
from langchain.document_loaders.unstructured import (
UnstructuredFileLoader,
validate_unstructured_version,
)
[docs]class UnstructuredXMLLoader(UnstructuredFileLoader):
"""Loader that uses unstruc... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/xml.html |
5cf557109c7f-0 | Source code for langchain.document_loaders.readthedocs
"""Loads ReadTheDocs documentation directory dump."""
from pathlib import Path
from typing import Any, List, Optional, Tuple, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class ReadTheDocsLoader... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/readthedocs.html |
5cf557109c7f-1 | from bs4 import BeautifulSoup
except ImportError:
raise ImportError(
"Could not import python packages. "
"Please install it with `pip install beautifulsoup4`. "
)
try:
_ = BeautifulSoup(
"<html><body>Parser builder libr... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/readthedocs.html |
5cf557109c7f-2 | if text is not None:
break
if text is not None:
text = text.get_text()
else:
text = ""
# trim empty lines
return "\n".join([t for t in text.split("\n") if t]) | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/readthedocs.html |
267a3c92ed94-0 | Source code for langchain.document_loaders.modern_treasury
"""Loader that fetches data from Modern Treasury"""
import json
import urllib.request
from base64 import b64encode
from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from lan... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/modern_treasury.html |
267a3c92ed94-1 | [docs] def __init__(
self,
resource: str,
organization_id: Optional[str] = None,
api_key: Optional[str] = None,
) -> None:
"""
Args:
resource: The Modern Treasury resource to load.
organization_id: The Modern Treasury organization ID. It can... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/modern_treasury.html |
267a3c92ed94-2 | [docs] def load(self) -> List[Document]:
return self._get_resource() | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/modern_treasury.html |
d864fc580dc9-0 | Source code for langchain.document_loaders.reddit
"""Reddit document loader."""
from __future__ import annotations
from typing import TYPE_CHECKING, Iterable, List, Optional, Sequence
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
if TYPE_CHECKING:
import pra... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/reddit.html |
d864fc580dc9-1 | self.client_secret = client_secret
self.user_agent = user_agent
self.search_queries = search_queries
self.mode = mode
self.categories = categories
self.number_posts = number_posts
[docs] def load(self) -> List[Document]:
"""Load reddits."""
praw = _dependable_p... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/reddit.html |
d864fc580dc9-2 | "post_category": category,
"post_title": post.title,
"post_score": post.score,
"post_id": post.id,
"post_url": post.url,
"post_author": post.author,
}
yield Document(
page_content=post.selftext,
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/reddit.html |
c70f394f7ee2-0 | Source code for langchain.document_loaders.gitbook
"""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):
"""Load G... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/gitbook.html |
c70f394f7ee2-1 | self.base_url = self.base_url[:-1]
if load_all_paths:
# set web_path to the sitemap if we want to crawl all paths
web_paths = f"{self.base_url}/sitemap.xml"
else:
web_paths = web_page
super().__init__(web_paths)
self.load_all_paths = load_all_paths
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/gitbook.html |
c70f394f7ee2-2 | 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 [urlparse(loc.text).path for loc in soup.find_all("loc")] | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/gitbook.html |
6eb2b0cdcf19-0 | 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 |
6eb2b0cdcf19-1 | 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 |
6eb2b0cdcf19-2 | """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 |
6eb2b0cdcf19-3 | column_values=dimension_values,
)
page_content = f"{str(item.get('title'))}, "
page_content += f"{str(item.get('description'))}"
docs.append(Document(page_content=page_content, metadata=metadata))
return docs | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/cube_semantic.html |
29615da9cc25-0 | Source code for langchain.document_loaders.conllu
"""Load CoNLL-U files."""
import csv
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class CoNLLULoader(BaseLoader):
"""Load CoNLL-U files."""
[docs] def __init__(self, file_pat... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/conllu.html |
d006de552f09-0 | Source code for langchain.document_loaders.python
import tokenize
from langchain.document_loaders.text import TextLoader
[docs]class PythonLoader(TextLoader):
"""
Load Python files, respecting any non-default encoding if specified.
"""
[docs] def __init__(self, file_path: str):
"""Initialize with... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/python.html |
8cf9ec13df96-0 | 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):
"""Loads bilibili transcripts."""
[... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/bilibili.html |
8cf9ec13df96-1 | 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 |
74397fff01dc-0 | Source code for langchain.document_loaders.generic
from __future__ import annotations
from pathlib import Path
from typing import Iterator, List, Literal, Optional, Sequence, Union
from langchain.document_loaders.base import BaseBlobParser, BaseLoader
from langchain.document_loaders.blob_loaders import BlobLoader, File... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/generic.html |
74397fff01dc-1 | from langchain.document_loaders.parsers.pdf import PyPDFParser
# Recursively load all text files in a directory.
loader = GenericLoader.from_filesystem(
"/path/to/dir",
glob="**/*.pdf",
parser=PyPDFParser()
)
"""
[docs] def __ini... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/generic.html |
74397fff01dc-2 | *,
glob: str = "**/[!.]*",
suffixes: Optional[Sequence[str]] = None,
show_progress: bool = False,
parser: Union[DEFAULT, BaseBlobParser] = "default",
) -> GenericLoader:
"""Create a generic document loader using a filesystem blob loader.
Args:
path: The pa... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/generic.html |
ec9849910e08-0 | Source code for langchain.document_loaders.url_playwright
"""Loader that uses Playwright to load a page, then uses unstructured to load the html.
"""
import logging
from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
logger = logging.... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url_playwright.html |
ec9849910e08-1 | [docs] def load(self) -> List[Document]:
"""Load the specified URLs using Playwright and create Document instances.
Returns:
List[Document]: A list of Document instances with loaded content.
"""
from playwright.sync_api import sync_playwright
from unstructured.part... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url_playwright.html |
ec9849910e08-2 | docs: List[Document] = list()
async with async_playwright() as p:
browser = await p.chromium.launch(headless=self.headless)
for url in self.urls:
try:
page = await browser.new_page()
await page.goto(url)
for sele... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url_playwright.html |
370668585036-0 | Source code for langchain.document_loaders.directory
"""Load documents from a directory."""
import concurrent
import logging
from pathlib import Path
from typing import Any, List, Optional, Type, 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/directory.html |
370668585036-1 | silent_errors: Whether to silently ignore errors. Defaults to False.
load_hidden: Whether to load hidden files. Defaults to False.
loader_cls: Loader class to use for loading files.
Defaults to UnstructuredFileLoader.
loader_kwargs: Keyword arguments to pass to loader_c... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/directory.html |
370668585036-2 | docs.extend(sub_docs)
except Exception as e:
if self.silent_errors:
logger.warning(f"Error loading file {str(item)}: {e}")
else:
raise e
finally:
if pbar:
p... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/directory.html |
316adfeb76b6-0 | Source code for langchain.document_loaders.notebook
"""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
[docs]def concatenate_cells(
cell: dict, include_outputs: b... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/notebook.html |
316adfeb76b6-1 | output = output[0]["text"]
min_output = min(max_output_length, len(output))
return (
f"'{cell_type}' cell: '{source}'\n with "
f"output: '{output[:min_output]}'\n\n"
)
else:
return f"'{cell_type}' cell: '{source}'\n\n"
return ""
[docs]d... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/notebook.html |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.