id stringlengths 14 15 | text stringlengths 49 2.47k | source stringlengths 61 166 |
|---|---|---|
8329be7fba50-0 | Source code for langchain.memory.chat_message_histories.file
import json
import logging
from pathlib import Path
from typing import List
from langchain.schema import (
BaseChatMessageHistory,
)
from langchain.schema.messages import BaseMessage, messages_from_dict, messages_to_dict
logger = logging.getLogger(__name_... | https://api.python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/file.html |
0049f2258d9d-0 | Source code for langchain.memory.chat_message_histories.postgres
import json
import logging
from typing import List
from langchain.schema import (
BaseChatMessageHistory,
)
from langchain.schema.messages import BaseMessage, _message_to_dict, messages_from_dict
logger = logging.getLogger(__name__)
DEFAULT_CONNECTION... | https://api.python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/postgres.html |
0049f2258d9d-1 | items = [record["message"] for record in self.cursor.fetchall()]
messages = messages_from_dict(items)
return messages
[docs] def add_message(self, message: BaseMessage) -> None:
"""Append the message to the record in PostgreSQL"""
from psycopg import sql
query = sql.SQL("INSER... | https://api.python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/postgres.html |
dde66c42395f-0 | Source code for langchain.memory.chat_message_histories.mongodb
import json
import logging
from typing import List
from langchain.schema import (
BaseChatMessageHistory,
)
from langchain.schema.messages import BaseMessage, _message_to_dict, messages_from_dict
logger = logging.getLogger(__name__)
DEFAULT_DBNAME = "c... | https://api.python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/mongodb.html |
dde66c42395f-1 | except errors.OperationFailure as error:
logger.error(error)
if cursor:
items = [json.loads(document["History"]) for document in cursor]
else:
items = []
messages = messages_from_dict(items)
return messages
[docs] def add_message(self, message: Base... | https://api.python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/mongodb.html |
076a75875f80-0 | Source code for langchain.memory.chat_message_histories.rocksetdb
from datetime import datetime
from time import sleep
from typing import Any, Callable, List, Union
from uuid import uuid4
from langchain.schema import BaseChatMessageHistory
from langchain.schema.messages import BaseMessage, _message_to_dict, messages_fr... | https://api.python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/rocksetdb.html |
076a75875f80-1 | if (curr - start).total_seconds() * 1000 > timeout:
raise TimeoutError(f"{method} timed out at {timeout} ms")
sleep(RocksetChatMessageHistory.SLEEP_INTERVAL_MS / 1000)
def _query(self, query: str, **query_params: Any) -> List[Any]:
"""Executes an SQL statement and returns the res... | https://api.python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/rocksetdb.html |
076a75875f80-2 | """Sleeps until the collection for this message history is ready
to be queried
"""
self._wait_until(
lambda: self._collection_is_ready(),
RocksetChatMessageHistory.CREATE_TIMEOUT_MS,
)
def _wait_until_message_added(self, message_id: str) -> None:
"""Sl... | https://api.python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/rocksetdb.html |
076a75875f80-3 | """Constructs a new RocksetChatMessageHistory.
Args:
- session_id: The ID of the chat session
- client: The RocksetClient object to use to query
- collection: The name of the collection to use to store chat
messages. If a collection with the given na... | https://api.python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/rocksetdb.html |
076a75875f80-4 | self.location = f'"{self.workspace}"."{self.collection}"'
self.rockset = rockset
self.messages_key = messages_key
self.message_uuid_method = message_uuid_method
self.sync = sync
if not self._collection_exists():
self._create_collection()
self._wait_until_c... | https://api.python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/rocksetdb.html |
076a75875f80-5 | ],
)
],
)
if self.sync:
self._wait_until_message_added(message.additional_kwargs["id"])
[docs] def clear(self) -> None:
"""Removes all messages from the chat history"""
self._create_empty_doc()
if self.sync:
self._wait_until(... | https://api.python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/rocksetdb.html |
8b7dce9024a9-0 | Source code for langchain.memory.chat_message_histories.streamlit
from typing import List
from langchain.schema import (
BaseChatMessageHistory,
)
from langchain.schema.messages import BaseMessage
[docs]class StreamlitChatMessageHistory(BaseChatMessageHistory):
"""
Chat message history that stores messages ... | https://api.python.langchain.com/en/latest/_modules/langchain/memory/chat_message_histories/streamlit.html |
eac0fc9e46f9-0 | Source code for langchain.document_loaders.text
import logging
from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.helpers import detect_file_encodings
logger = logging.getLogger(__name__)
[docs]class T... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/text.html |
eac0fc9e46f9-1 | except Exception as e:
raise RuntimeError(f"Error loading {self.file_path}") from e
metadata = {"source": self.file_path}
return [Document(page_content=text, metadata=metadata)] | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/text.html |
a48a0e042aec-0 | Source code for langchain.document_loaders.rtf
"""Loads rich text files."""
from typing import Any, List
from langchain.document_loaders.unstructured import (
UnstructuredFileLoader,
satisfies_min_unstructured_version,
)
[docs]class UnstructuredRTFLoader(UnstructuredFileLoader):
"""Loader that uses unstruct... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/rtf.html |
a48a0e042aec-1 | if not satisfies_min_unstructured_version(min_unstructured_version):
raise ValueError(
"Partitioning rtf files is only supported in "
f"unstructured>={min_unstructured_version}."
)
super().__init__(file_path=file_path, mode=mode, **unstructured_kwargs)
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/rtf.html |
c89c9655e346-0 | Source code for langchain.document_loaders.youtube
"""Loads YouTube transcript."""
from __future__ import annotations
import logging
from pathlib import Path
from typing import Any, Dict, List, Optional, Sequence, Union
from urllib.parse import parse_qs, urlparse
from pydantic import root_validator
from pydantic.datacl... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html |
c89c9655e346-1 | """Validate that either folder_id or document_ids is set, but not both."""
if not values.get("credentials_path") and not values.get(
"service_account_path"
):
raise ValueError("Must specify either channel_name or video_ids")
return values
def _load_credentials(self) -... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html |
c89c9655e346-2 | token.write(creds.to_json())
return creds
ALLOWED_SCHEMAS = {"http", "https"}
ALLOWED_NETLOCK = {
"youtu.be",
"m.youtube.com",
"youtube.com",
"www.youtube.com",
"www.youtube-nocookie.com",
"vid.plus",
}
def _parse_video_id(url: str) -> Optional[str]:
"""Parse a youtube url and return... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html |
c89c9655e346-3 | self.add_video_info = add_video_info
self.language = language
if isinstance(language, str):
self.language = [language]
else:
self.language = language
self.translation = translation
self.continue_on_failure = continue_on_failure
[docs] @staticmethod
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html |
c89c9655e346-4 | except TranscriptsDisabled:
return []
try:
transcript = transcript_list.find_transcript(self.language)
except NoTranscriptFound:
en_transcript = transcript_list.find_transcript(["en"])
transcript = en_transcript.translate(self.translation)
transcri... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html |
c89c9655e346-5 | python package installed.
As the service needs a google_api_client, you first have to initialize
the GoogleApiClient.
Additionally you have to either provide a channel name or a list of videoids
"https://developers.google.com/docs/api/quickstart/python"
Example:
.. code-block:: python
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html |
c89c9655e346-6 | [docs] @root_validator
def validate_channel_or_videoIds_is_set(
cls, values: Dict[str, Any]
) -> Dict[str, Any]:
"""Validate that either folder_id or document_ids is set, but not both."""
if not values.get("channel_name") and not values.get("video_ids"):
raise ValueError("... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html |
c89c9655e346-7 | part="id",
q=channel_name,
type="channel",
maxResults=1, # we only need one result since channel names are unique
)
response = request.execute()
channel_id = response["items"][0]["id"]["channelId"]
return channel_id
def _get_document_for_channel(s... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html |
c89c9655e346-8 | metadata=meta_data,
)
)
except (TranscriptsDisabled, NoTranscriptFound) as e:
if self.continue_on_failure:
logger.error(
"Error fetching transscript "
+ f" {ite... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html |
12567918a8ae-0 | Source code for langchain.document_loaders.psychic
"""Loads documents from Psychic.dev."""
from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class PsychicLoader(BaseLoader):
"""Loads documents from Psychic.dev."""
[docs] ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/psychic.html |
2c8989a57408-0 | Source code for langchain.document_loaders.recursive_url_loader
import asyncio
import re
from typing import Callable, Iterator, List, Optional, Set, Union
from urllib.parse import urljoin, urlparse
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[d... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/recursive_url_loader.html |
2c8989a57408-1 | self.max_depth = max_depth if max_depth is not None else 2
self.timeout = timeout if timeout is not None else 10
self.prevent_outside = prevent_outside if prevent_outside is not None else True
def _get_sub_links(self, raw_html: str, base_url: str) -> List[str]:
"""This function extracts all ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/recursive_url_loader.html |
2c8989a57408-2 | if link.startswith("/") and not link.startswith("//"):
absolute_paths.append(urljoin(base_url, link))
continue
# Some may have omitted the protocol like //to/path
if link.startswith("//"):
absolute_paths.append(f"{urlparse(base_url).scheme}:{link}"... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/recursive_url_loader.html |
2c8989a57408-3 | Args:
url: The URL to crawl.
visited: A set of visited URLs.
"""
if depth > self.max_depth:
return []
# Add a trailing slash if not present
if not url.endswith("/"):
url += "/"
# Exclude the root and parent from a list
visit... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/recursive_url_loader.html |
2c8989a57408-4 | ) -> List[Document]:
"""Recursively get all child links starting with the path of the input URL.
Args:
url: The URL to crawl.
visited: A set of visited URLs.
depth: To reach the current url, how many pages have been visited.
"""
try:
import... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/recursive_url_loader.html |
2c8989a57408-5 | return []
absolute_paths = self._get_sub_links(text, url)
# Worker will be only called within the current function
# Worker function will process the link
# then recursively call get_child_links_recursive to process the children
async def worker(link: str) -> ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/recursive_url_loader.html |
2c8989a57408-6 | sub_tasks = []
for link in absolute_paths:
sub_tasks.append(
self._async_get_child_links_recursive(link, visited, depth + 1)
)
# sub_tasks returns coroutines of list,
# so we need to flatten the list await asyncio.gather(*sub_tasks)... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/recursive_url_loader.html |
1394ec5ba77a-0 | Source code for langchain.document_loaders.s3_file
"""Loading logic for loading documents from an AWS 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 ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/s3_file.html |
e66f101762a1-0 | Source code for langchain.document_loaders.toml
import json
from pathlib import Path
from typing import Iterator, List, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class TomlLoader(BaseLoader):
"""
A TOML document loader that inherits from ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/toml.html |
3ce4dfcece68-0 | 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
[docs]def concatenate_rows(message: dict, title: str) -> str:
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/chatgpt.html |
3ce4dfcece68-1 | documents = []
for d in data:
title = d["title"]
messages = d["mapping"]
text = "".join(
[
concatenate_rows(messages[key]["message"], title)
for idx, key in enumerate(messages)
if not (
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/chatgpt.html |
e3aa77c39e4d-0 | Source code for langchain.document_loaders.confluence
"""Load Data from a Confluence Space"""
import logging
from enum import Enum
from io import BytesIO
from typing import Any, Callable, Dict, List, Optional, Union
from tenacity import (
before_sleep_log,
retry,
stop_after_attempt,
wait_exponential,
)
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
e3aa77c39e4d-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 |
e3aa77c39e4d-2 | :type min_retry_seconds: Optional[int], optional
:param max_retry_seconds: defaults to 10
:type max_retry_seconds: Optional[int], optional
:param confluence_kwargs: additional kwargs to initialize confluence with
:type confluence_kwargs: dict, optional
:raises ValueError: Errors while validating in... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
e3aa77c39e4d-3 | )
if oauth2:
self.confluence = Confluence(
url=url, oauth2=oauth2, cloud=cloud, **confluence_kwargs
)
elif token:
self.confluence = Confluence(
url=url, token=token, cloud=cloud, **confluence_kwargs
)
else:
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
e3aa77c39e4d-4 | errors.append(
"You have either omitted require keys or added extra "
"keys to the oauth2 dictionary. key values should be "
"`['access_token', 'access_token_secret', 'consumer_key', 'key_cert']`"
)
if token and (api_key or username or oauth2):
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
e3aa77c39e4d-5 | :param cql: CQL Expression, defaults to None
:type cql: Optional[str], optional
:param include_restricted_content: defaults to False
:type include_restricted_content: bool, optional
:param include_archived_content: Whether to include archived content,
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
e3aa77c39e4d-6 | docs = []
if space_key:
pages = self.paginate_request(
self.confluence.get_all_pages_from_space,
space=space_key,
limit=limit,
max_pages=max_pages,
status="any" if include_archived_content else "current",
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
e3aa77c39e4d-7 | self.number_of_retries # type: ignore[arg-type]
),
wait=wait_exponential(
multiplier=1, # type: ignore[arg-type]
min=self.min_retry_seconds, # type: ignore[arg-type]
max=self.max_retry_seconds, # type: ig... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
e3aa77c39e4d-8 | seems to cap the response to 100. Also, due to the Atlassian Python
package, we don't get the "next" values from the "_links" key because
they only return the value from the result key. So here, the pagination
starts from 0 and goes until the max_pages, getting the `limit` number
of page... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
e3aa77c39e4d-9 | """Check if a page is publicly accessible."""
restrictions = self.confluence.get_all_restrictions_for_content(page["id"])
return (
page["status"] == "current"
and not restrictions["read"]["restrictions"]["user"]["results"]
and not restrictions["read"]["restrictions"][... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
e3aa77c39e4d-10 | "`pip install markdownify`"
)
else:
try:
from bs4 import BeautifulSoup # type: ignore
except ImportError:
raise ImportError(
"`beautifulsoup4` package not found, please run "
"`pip install beautifuls... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
e3aa77c39e4d-11 | ) -> List[str]:
try:
from PIL import Image # noqa: F401
except ImportError:
raise ImportError(
"`Pillow` package not found, " "please run `pip install Pillow`"
)
# depending on setup you may also need to set the correct path for
# popp... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
e3aa77c39e4d-12 | try:
import pytesseract # noqa: F401
from pdf2image import convert_from_bytes # noqa: F401
except ImportError:
raise ImportError(
"`pytesseract` or `pdf2image` package not found, "
"please run `pip install pytesseract pdf2image`"
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
e3aa77c39e4d-13 | image = Image.open(BytesIO(response.content))
except OSError:
return text
return pytesseract.image_to_string(image, lang=ocr_languages)
[docs] def process_doc(self, link: str) -> str:
try:
import docx2txt # noqa: F401
except ImportError:
raise Impo... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
e3aa77c39e4d-14 | file_extension = os.path.splitext(filename)[1]
if file_extension.startswith(
".csv"
): # if the extension found in the url is ".csv"
content_string = response.content.decode("utf-8")
df = pd.read_csv(io.StringIO(content_string))
text += df.to_string(index... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
e3aa77c39e4d-15 | ):
return text
drawing = svg2rlg(BytesIO(response.content))
img_data = BytesIO()
renderPM.drawToFile(drawing, img_data, fmt="PNG")
img_data.seek(0)
image = Image.open(img_data)
return pytesseract.image_to_string(image, lang=ocr_languages) | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
f173fbeb6f6b-0 | Source code for langchain.document_loaders.powerpoint
"""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 PowerPoint files... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/powerpoint.html |
f173fbeb6f6b-1 | try:
import magic # noqa: F401
is_ppt = detect_filetype(self.file_path) == FileType.PPT
except ImportError:
_, extension = os.path.splitext(str(self.file_path))
is_ppt = extension == ".ppt"
if is_ppt and unstructured_version < (0, 4, 11):
rais... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/powerpoint.html |
b0de701ffa6a-0 | Source code for langchain.document_loaders.evernote
"""Load documents from Evernote.
https://gist.github.com/foxmask/7b29c43a161e001ff04afdb2f181e31c
"""
import hashlib
import logging
from base64 import b64decode
from time import strptime
from typing import Any, Dict, Iterator, List, Optional
from langchain.docstore.do... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/evernote.html |
b0de701ffa6a-1 | """Initialize with file path."""
self.file_path = file_path
self.load_single_document = load_single_document
[docs] def load(self) -> List[Document]:
"""Load documents from EverNote export file."""
documents = [
Document(
page_content=note["content"],
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/evernote.html |
b0de701ffa6a-2 | if elem.tag == "data":
# Sometimes elem.text is None
rsc_dict[elem.tag] = b64decode(elem.text) if elem.text else b""
rsc_dict["hash"] = hashlib.md5(rsc_dict[elem.tag]).hexdigest()
else:
rsc_dict[elem.tag] = elem.text
return rsc_dict
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/evernote.html |
b0de701ffa6a-3 | @staticmethod
def _parse_note_xml(xml_file: str) -> Iterator[Dict[str, Any]]:
"""Parse Evernote xml."""
# Without huge_tree set to True, parser may complain about huge text node
# Try to recover, because there may be " ", which will cause
# "XMLSyntaxError: Entity 'nbsp' not def... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/evernote.html |
ccc0283c2e38-0 | Source code for langchain.document_loaders.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_loaders.unstructured import UnstructuredFileLoader
[docs]class AzureBlobSto... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/azure_blob_storage_file.html |
ce2c0ad5ea75-0 | Source code for langchain.document_loaders.xorbits
from typing import Any, Iterator, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class XorbitsLoader(BaseLoader):
"""Load Xorbits DataFrame."""
[docs] def __init__(self, data_frame: Any, page_co... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/xorbits.html |
502e08f63d6f-0 | Source code for langchain.document_loaders.obsidian
"""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):
"""Loads Obsidian files ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/obsidian.html |
502e08f63d6f-1 | """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."""
ps = list(Path(self.file_path).glob("**/*.md"))
do... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/obsidian.html |
8d5df2fd4ac1-0 | Source code for langchain.document_loaders.rss
"""Loader that uses unstructured to load HTML files."""
import logging
from typing import Any, Iterator, List, Optional, Sequence
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.news im... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/rss.html |
8d5df2fd4ac1-1 | Finally, newspaper is used to process each article:
https://newspaper.readthedocs.io/en/latest/
""" # noqa: E501
[docs] def __init__(
self,
urls: Optional[Sequence[str]] = None,
opml: Optional[str] = None,
continue_on_failure: bool = True,
show_progress_bar: bool = Fa... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/rss.html |
8d5df2fd4ac1-2 | "Package listparser must be installed if the opml arg is used. "
"Please install with 'pip install listparser' or use the "
"urls arg instead."
) from e
rss = listparser.parse(self.opml)
return [feed.url for feed in rss.feeds]
[docs] def lazy_load(self) -> ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/rss.html |
a50dbbea5e10-0 | Source code for langchain.document_loaders.hn
"""Loads HN."""
from typing import Any, List
from langchain.docstore.document import Document
from langchain.document_loaders.web_base import WebBaseLoader
[docs]class HNLoader(WebBaseLoader):
"""Load Hacker News data from either main page results or the comments page."... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/hn.html |
a50dbbea5e10-1 | title = lineItem.find("span", {"class": "titleline"}).text.strip()
metadata = {
"source": self.web_path,
"title": title,
"link": link,
"ranking": ranking,
}
documents.append(
Document(
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/hn.html |
4f4047bbfecd-0 | Source code for langchain.document_loaders.telegram
"""Loads Telegram chat json dump."""
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.b... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/telegram.html |
4f4047bbfecd-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 |
4f4047bbfecd-2 | 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
self.file_path = file_path
[docs] async def fetch_data_from_telegr... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/telegram.html |
4f4047bbfecd-3 | 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 parent message ID.
Args:
parent_id (int): The parent message ID.
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/telegram.html |
4f4047bbfecd-4 | ) -> str:
"""
Combine the message texts for each parent message ID based \
on the list of message threads.
Args:
message_threads (dict): A dictionary where the key is the parent message \
ID and the value is a list of message IDs in ascending order.
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/telegram.html |
4f4047bbfecd-5 | d = json.load(f)
try:
import pandas as pd
except ImportError:
raise ImportError(
"""`pandas` package not found.
please install with `pip install pandas`
"""
)
normalized_messages = pd.json_normalize(d)
d... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/telegram.html |
c0735c81ab72-0 | Source code for langchain.document_loaders.arxiv
from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.utilities.arxiv import ArxivAPIWrapper
[docs]class ArxivLoader(BaseLoader):
"""Loads a query result from arxiv.org... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/arxiv.html |
7757c6036a66-0 | 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 |
7757c6036a66-1 | - "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 |
7757c6036a66-2 | 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 |
70e3630851c4-0 | Source code for langchain.document_loaders.pdf
"""Loads PDF files."""
import json
import logging
import os
import tempfile
import time
from abc import ABC
from io import StringIO
from pathlib import Path
from typing import Any, Iterator, List, Mapping, Optional, Sequence, Union
from urllib.parse import urlparse
import ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
70e3630851c4-1 | """
def _get_elements(self) -> List:
from unstructured.partition.pdf import partition_pdf
return partition_pdf(filename=self.file_path, **self.unstructured_kwargs)
[docs]class BasePDFLoader(BaseLoader, ABC):
"""Base loader class for PDF files.
Defaults to check for local file, but if the fil... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
70e3630851c4-2 | elif not os.path.isfile(self.file_path):
raise ValueError("File path %s is not a valid file or url" % self.file_path)
def __del__(self) -> None:
if hasattr(self, "temp_dir"):
self.temp_dir.cleanup()
@staticmethod
def _is_valid_url(url: str) -> bool:
"""Check if the ur... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
70e3630851c4-3 | except ImportError:
raise ImportError(
"pypdf package not found, please install it with " "`pip install pypdf`"
)
self.parser = PyPDFParser(password=password)
super().__init__(file_path)
[docs] def load(self) -> List[Document]:
"""Load given path as pag... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
70e3630851c4-4 | load_hidden: bool = False,
recursive: bool = False,
):
self.path = path
self.glob = glob
self.load_hidden = load_hidden
self.recursive = recursive
self.silent_errors = silent_errors
@staticmethod
def _is_visible(path: Path) -> bool:
return not any(part... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
70e3630851c4-5 | [docs] def load(self) -> List[Document]:
"""Eagerly load the content."""
return list(self.lazy_load())
[docs] def lazy_load(
self,
) -> Iterator[Document]:
"""Lazily load documents."""
blob = Blob.from_path(self.file_path)
yield from self.parser.parse(blob)
[doc... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
70e3630851c4-6 | [docs] def __init__(self, file_path: str) -> None:
"""Initialize with a file path."""
try:
import fitz # noqa:F401
except ImportError:
raise ImportError(
"`PyMuPDF` package not found, please install it with "
"`pip install pymupdf`"
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
70e3630851c4-7 | """
super().__init__(file_path)
self.mathpix_api_key = get_from_dict_or_env(
kwargs, "mathpix_api_key", "MATHPIX_API_KEY"
)
self.mathpix_api_id = get_from_dict_or_env(
kwargs, "mathpix_api_id", "MATHPIX_API_ID"
)
self.processed_file_format = proces... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
70e3630851c4-8 | Returns: None
"""
url = self.url + "/" + pdf_id
for _ in range(0, self.max_wait_time_seconds, 5):
response = requests.get(url, headers=self.headers)
response_data = response.json()
status = response_data.get("status", None)
if status == "completed"... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
70e3630851c4-9 | pdf_id = self.send_pdf()
contents = self.get_processed_pdf(pdf_id)
if self.should_clean_pdf:
contents = self.clean_pdf(contents)
metadata = {"source": self.source, "file_path": self.source}
return [Document(page_content=contents, metadata=metadata)]
[docs]class PDFPlumberLoad... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
70e3630851c4-10 | access the Amazon Textract service.
Example:
.. code-block:: python
from langchain.document_loaders import AmazonTextractPDFLoader
loader = AmazonTextractPDFLoader(
file_path="s3://pdfs/myfile.pdf"
)
document = loader.load()
"""
[docs] d... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
70e3630851c4-11 | else:
features = []
if credentials_profile_name or region_name or endpoint_url:
try:
import boto3
if credentials_profile_name is not None:
session = boto3.Session(profile_name=credentials_profile_name)
else:
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
70e3630851c4-12 | else:
blob = Blob.from_path(self.file_path)
if AmazonTextractPDFLoader._get_number_of_pages(blob) > 1:
raise ValueError(
f"the file {blob.path} is a multi-page document, \
but not stored on S3. \
Textract requires multi-... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
9eb948990088-0 | Source code for langchain.document_loaders.stripe
"""Loader that fetches data from 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_dic... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/stripe.html |
9eb948990088-1 | 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 |
8eca11891056-0 | Source code for langchain.document_loaders.url
"""Loader that uses unstructured to load HTML files."""
import logging
from typing import Any, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
logger = logging.getLogger(__name__)
[docs]class UnstructuredURLLoade... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url.html |
8eca11891056-1 | from unstructured.__version__ import __version__ as __unstructured_version__
self.__version = __unstructured_version__
except ImportError:
raise ImportError(
"unstructured package not found, please install it with "
"`pip install unstructured`"
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url.html |
8eca11891056-2 | _unstructured_version = self.__version.split("-")[0]
unstructured_version = tuple([int(x) for x in _unstructured_version.split(".")])
return unstructured_version >= (0, 5, 13)
def __is_non_html_available(self) -> bool:
_unstructured_version = self.__version.split("-")[0]
unstructured... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url.html |
8eca11891056-3 | except Exception as e:
if self.continue_on_failure:
logger.error(f"Error fetching or processing {url}, exception: {e}")
continue
else:
raise e
if self.mode == "single":
text = "\n\n".join([str(el) for... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url.html |
afdabd1a374a-0 | Source code for langchain.document_loaders.facebook_chat
"""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
[docs]def concatenate_rows(row: dict) -> str:... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/facebook_chat.html |
f6a2f9298684-0 | Source code for langchain.document_loaders.bigquery
from __future__ import annotations
from typing import TYPE_CHECKING, List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
if TYPE_CHECKING:
from google.auth.credentials import Credentials
[docs]clas... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/bigquery.html |
f6a2f9298684-1 | """
self.query = query
self.project = project
self.page_content_columns = page_content_columns
self.metadata_columns = metadata_columns
self.credentials = credentials
[docs] def load(self) -> List[Document]:
try:
from google.cloud import bigquery
ex... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/bigquery.html |
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