id stringlengths 14 16 | text stringlengths 36 2.73k | source stringlengths 59 127 |
|---|---|---|
d581c3edb575-0 | Source code for langchain.document_loaders.telegram
"""Loader that 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.docume... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/telegram.html |
d581c3edb575-1 | 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 = []
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/telegram.html |
d581c3edb575-2 | [docs] async def fetch_data_from_telegram(self) -> None:
"""Fetch data from Telegram API and save it as a JSON file."""
from telethon.sync import TelegramClient
data = []
async with TelegramClient(self.username, self.api_id, self.api_hash) as client:
async for message in c... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/telegram.html |
d581c3edb575-3 | Args:
parent_id (int): The parent message ID.
reply_data (pd.DataFrame): A DataFrame containing reply messages.
Returns:
list: A list of message IDs that are replies to the parent message ID.
"""
# Find direct replies to the parent mess... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/telegram.html |
d581c3edb575-4 | 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.
data (pd.DataFrame): A DataFrame containing the conversation data:
- message.sender_id
- text
- date
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/telegram.html |
d581c3edb575-5 | please install with `pip install pandas`
"""
)
normalized_messages = pd.json_normalize(d)
df = pd.DataFrame(normalized_messages)
message_threads = self._get_message_threads(df)
combined_texts = self._combine_message_texts(message_threads, df)
return te... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/telegram.html |
8f771d392861-0 | Source code for langchain.document_loaders.email
"""Loader that loads email files."""
import os
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.unstructured import (
UnstructuredFileLoader,
satisfies_... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/email.html |
8f771d392861-1 | "`pip install extract_msg`"
)
[docs] def load(self) -> List[Document]:
"""Load data into document objects."""
import extract_msg
msg = extract_msg.Message(self.file_path)
return [
Document(
page_content=msg.body,
metadata={
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/email.html |
3a62fcd7b5b2-0 | Source code for langchain.document_loaders.blockchain
import os
import re
import time
from enum import Enum
from typing import List, Optional
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
class BlockchainType(Enum):
ETH_MAINNET = "eth-mainnet... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/blockchain.html |
3a62fcd7b5b2-1 | """
def __init__(
self,
contract_address: str,
blockchainType: BlockchainType = BlockchainType.ETH_MAINNET,
api_key: str = "docs-demo",
startToken: str = "",
get_all_tokens: bool = False,
max_execution_time: Optional[int] = None,
):
self.contract_a... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/blockchain.html |
3a62fcd7b5b2-2 | tokenId = item["id"]["tokenId"]
metadata = {
"source": self.contract_address,
"blockchain": self.blockchainType,
"tokenId": tokenId,
}
result.append(Document(page_content=content, metadata=metadata))
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/blockchain.html |
3a62fcd7b5b2-3 | elif value_type == "hex_0xbf":
return "0xbf" + format(result, "0" + str(len(tokenId) - 4) + "x")
else:
return str(result)
# A smart contract can use different formats for the tokenId
@staticmethod
def _detect_value_type(tokenId: str) -> str:
if isinstance(tokenId, int... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/blockchain.html |
3354fec44cd5-0 | 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.... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/url_playwright.html |
3354fec44cd5-1 | [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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/url_playwright.html |
fa84cfabe124-0 | Source code for langchain.document_loaders.airtable
from typing import Iterator, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class AirtableLoader(BaseLoader):
"""Loader that loads local airbyte json files."""
def __init__(self, api_token: st... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/airtable.html |
f6b10951e906-0 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/googledrive.html |
f6b10951e906-1 | if values.get("folder_id") and (
values.get("document_ids") or values.get("file_ids")
):
raise ValueError(
"Cannot specify both folder_id and document_ids nor "
"folder_id and file_ids"
)
if (
not values.get("folder_id")
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/googledrive.html |
f6b10951e906-2 | return type_mapping[x] if x in type_mapping else x
values["file_types"] = [full_form(file_type) for file_type in file_types]
return values
@validator("credentials_path")
def validate_credentials_path(cls, v: Any, **kwargs: Any) -> Any:
"""Validate that credentials_path exists."""
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/googledrive.html |
f6b10951e906-3 | with open(self.token_path, "w") as token:
token.write(creds.to_json())
return creds
def _load_sheet_from_id(self, id: str) -> List[Document]:
"""Load a sheet and all tabs from an ID."""
from googleapiclient.discovery import build
creds = self._load_credentials()
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/googledrive.html |
f6b10951e906-4 | """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
creds = self._load_credentials()
service = build("drive", "v3", credentia... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/googledrive.html |
f6b10951e906-5 | if file_types:
_files = [f for f in files if f["mimeType"] in file_types] # type: ignore
else:
_files = files
returns = []
for file in files:
if file["trashed"] and not self.load_trashed_files:
continue
elif file["mimeType"] == "ap... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/googledrive.html |
f6b10951e906-6 | else:
returns.append(file)
return returns
def _load_documents_from_ids(self) -> List[Document]:
"""Load documents from a list of IDs."""
if not self.document_ids:
raise ValueError("document_ids must be set")
return [self._load_document_from_id(doc_id) for ... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/googledrive.html |
f6b10951e906-7 | raise ValueError("file_ids must be set")
docs = []
for file_id in self.file_ids:
docs.extend(self._load_file_from_id(file_id))
return docs
[docs] def load(self) -> List[Document]:
"""Load documents."""
if self.folder_id:
return self._load_documents_from... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/googledrive.html |
97781e4af3c5-0 | Source code for langchain.document_loaders.pdf
"""Loader that loads PDF files."""
import json
import logging
import os
import tempfile
import time
from abc import ABC
from io import StringIO
from pathlib import Path
from typing import Any, Iterator, List, Mapping, Optional
from urllib.parse import urlparse
import reque... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/pdf.html |
97781e4af3c5-1 | if not os.path.isfile(self.file_path) and self._is_valid_url(self.file_path):
r = requests.get(self.file_path)
if r.status_code != 200:
raise ValueError(
"Check the url of your file; returned status code %s"
% r.status_code
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/pdf.html |
97781e4af3c5-2 | try:
import pypdf # noqa:F401
except ImportError:
raise ImportError(
"pypdf package not found, please install it with " "`pip install pypdf`"
)
self.parser = PyPDFParser()
super().__init__(file_path)
[docs] def load(self) -> List[Document]:... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/pdf.html |
97781e4af3c5-3 | silent_errors: bool = False,
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)... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/pdf.html |
97781e4af3c5-4 | [docs] def load(self) -> List[Document]:
"""Eagerly load the content."""
return list(self.lazy_load())
[docs] def lazy_load(
self,
) -> Iterator[Document]:
"""Lazily lod documents."""
blob = Blob.from_path(self.file_path)
yield from self.parser.parse(blob)
[docs... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/pdf.html |
97781e4af3c5-5 | def __init__(self, file_path: str) -> None:
"""Initialize with file path."""
try:
import fitz # noqa:F401
except ImportError:
raise ImportError(
"`PyMuPDF` package not found, please install it with "
"`pip install pymupdf`"
)
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/pdf.html |
97781e4af3c5-6 | @property
def headers(self) -> dict:
return {"app_id": self.mathpix_api_id, "app_key": self.mathpix_api_key}
@property
def url(self) -> str:
return "https://api.mathpix.com/v3/pdf"
@property
def data(self) -> dict:
options = {"conversion_formats": {self.processed_file_format:... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/pdf.html |
97781e4af3c5-7 | self.wait_for_processing(pdf_id)
url = f"{self.url}/{pdf_id}.{self.processed_file_format}"
response = requests.get(url, headers=self.headers)
return response.content.decode("utf-8")
[docs] def clean_pdf(self, contents: str) -> str:
contents = "\n".join(
[line for line in c... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/pdf.html |
97781e4af3c5-8 | "`pip install pdfplumber`"
)
super().__init__(file_path)
self.text_kwargs = text_kwargs or {}
[docs] def load(self) -> List[Document]:
"""Load file."""
parser = PDFPlumberParser(text_kwargs=self.text_kwargs)
blob = Blob.from_path(self.file_path)
return pars... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/pdf.html |
bc78a7abd052-0 | Source code for langchain.document_loaders.odt
"""Loader that loads Open Office ODT files."""
from typing import Any, List
from langchain.document_loaders.unstructured import (
UnstructuredFileLoader,
validate_unstructured_version,
)
[docs]class UnstructuredODTLoader(UnstructuredFileLoader):
"""Loader that ... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/odt.html |
a0c0f62a9531-0 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/azure_blob_storage_container.html |
1e67f0e1f8dc-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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/gcs_directory.html |
63d39ba651aa-0 | Source code for langchain.document_loaders.trello
"""Loader that loads cards from Trello"""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, List, Literal, Optional, Tuple
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.util... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/trello.html |
63d39ba651aa-1 | self.board_name = board_name
self.include_card_name = include_card_name
self.include_comments = include_comments
self.include_checklist = include_checklist
self.extra_metadata = extra_metadata
self.card_filter = card_filter
[docs] @classmethod
def from_credentials(
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/trello.html |
63d39ba651aa-2 | token = token or get_from_env("token", "TRELLO_TOKEN")
client = TrelloClient(api_key=api_key, token=token)
return cls(client, board_name, **kwargs)
[docs] def load(self) -> List[Document]:
"""Loads all cards from the specified Trello board.
You can filter the cards, metadata and text ... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/trello.html |
63d39ba651aa-3 | if self.include_card_name:
text_content = card.name + "\n"
if card.description.strip():
text_content += BeautifulSoup(card.description, "lxml").get_text()
if self.include_checklist:
# Get all the checklist items on the card
for checklist in card.checklists... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/trello.html |
710884c5c8cf-0 | Source code for langchain.document_loaders.max_compute
from __future__ import annotations
from typing import Any, Iterator, List, Optional, Sequence
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.utilities.max_compute import MaxComputeAPIWrapper
[d... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/max_compute.html |
710884c5c8cf-1 | given parameters.
Args:
query: SQL query to execute.
endpoint: MaxCompute endpoint.
project: A project is a basic organizational unit of MaxCompute, which is
similar to a database.
access_id: MaxCompute access ID. Should be passed in directly or se... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/max_compute.html |
08eb4a8fca13-0 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/dataframe.html |
563dfbcd2b5f-0 | Source code for langchain.document_loaders.web_base
"""Web base loader class."""
import asyncio
import logging
import warnings
from typing import Any, Dict, List, Optional, Union
import aiohttp
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
logger... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/web_base.html |
563dfbcd2b5f-1 | """kwargs for requests"""
def __init__(
self, web_path: Union[str, List[str]], header_template: Optional[dict] = None
):
"""Initialize with webpage path."""
# TODO: Deprecate web_path in favor of web_paths, and remove this
# left like this because there are a number of loaders th... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/web_base.html |
563dfbcd2b5f-2 | for i in range(retries):
try:
async with session.get(
url, headers=self.session.headers
) as response:
return await response.text()
except aiohttp.ClientConnectionError as e:
if i ... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/web_base.html |
563dfbcd2b5f-3 | if parser not in valid_parsers:
raise ValueError(
"`parser` must be one of " + ", ".join(valid_parsers) + "."
)
[docs] def scrape_all(self, urls: List[str], parser: Union[str, None] = None) -> List[Any]:
"""Fetch all urls, then return soups for all results."""
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/web_base.html |
563dfbcd2b5f-4 | docs = []
for path in self.web_paths:
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]:
"""Lo... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/web_base.html |
52bd190295c1-0 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/image.html |
b192778a4da7-0 | Source code for langchain.document_loaders.docugami
"""Loader that 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 ... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/docugami.html |
b192778a4da7-1 | if values.get("file_paths") and values.get("docset_id"):
raise ValueError("Cannot specify both file_paths and remote API docset_id")
if not values.get("file_paths") and not values.get("docset_id"):
raise ValueError("Must specify either file_paths or remote API docset_id")
if valu... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/docugami.html |
b192778a4da7-2 | ancestor_chain = chunk.xpath("ancestor-or-self::*")
return "/" + "/".join(_xpath_qname_for_chunk(x) for x in ancestor_chain)
def _structure_value(node: Any) -> str:
"""Get the structure value for a node."""
structure = (
"table"
if node.tag == ... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/docugami.html |
b192778a4da7-3 | """Create a Document from a node and text."""
metadata = {
XPATH_KEY: _xpath_for_chunk(node),
DOCUMENT_ID_KEY: document["id"],
DOCUMENT_NAME_KEY: document["name"],
STRUCTURE_KEY: node.attrib.get("structure", ""),
TAG_KEY: re.sub... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/docugami.html |
b192778a4da7-4 | while url:
response = requests.get(
url,
headers={"Authorization": f"Bearer {self.access_token}"},
)
if response.ok:
data = response.json()
all_documents.extend(data["documents"])
url = data.get("next", N... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/docugami.html |
b192778a4da7-5 | data={},
)
if response.ok:
data = response.json()
all_artifacts.extend(data["artifacts"])
url = data.get("next", None)
else:
raise Exception(
f"Failed to download {url} (status: {response.status_code}... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/docugami.html |
b192778a4da7-6 | per_file_metadata[doc_id] = metadata
else:
raise Exception(
f"Failed to download {artifact_url}/content "
+ "(status: {response.status_code})"
)
return per_file_metadata
def _load_chunks_for_document(
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/docugami.html |
b192778a4da7-7 | for project in _project_details:
metadata = self._metadata_for_project(project)
combined_project_metadata.update(metadata)
for doc in _document_details:
doc_metadata = combined_project_metadata.get(doc["id"])
chunks += self._load_chunks... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/docugami.html |
04abc6aa5dd5-0 | Source code for langchain.document_loaders.weather
"""Simple reader that reads weather data from OpenWeatherMap API"""
from __future__ import annotations
from datetime import datetime
from typing import Iterator, List, Optional, Sequence
from langchain.docstore.document import Document
from langchain.document_loaders.b... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/weather.html |
04abc6aa5dd5-1 | return list(self.lazy_load())
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Jun 16, 2023. | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/weather.html |
8658a13719a7-0 | Source code for langchain.document_loaders.bibtex
import logging
import re
from pathlib import Path
from typing import Any, Iterator, List, Mapping, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.utilities.bibtex import BibtexparserWrapper... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/bibtex.html |
8658a13719a7-1 | import fitz
parent_dir = Path(self.file_path).parent
# regex is useful for Zotero flavor bibtex files
file_names = self.file_regex.findall(entry.get("file", ""))
if not file_names:
return None
texts: List[str] = []
for file_name in file_names:
try:... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/bibtex.html |
8658a13719a7-2 | yield doc
[docs] def load(self) -> List[Document]:
"""Load bibtex file documents from the given bibtex file path.
See https://bibtexparser.readthedocs.io/en/master/
Args:
file_path: the path to the bibtex file
Returns:
a list of documents with the document.page... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/bibtex.html |
ee8f5972308d-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 ... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/chatgpt.html |
ee8f5972308d-1 | documents.append(Document(page_content=text, metadata=metadata))
return documents
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Jun 16, 2023. | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/chatgpt.html |
05de09cfcd15-0 | Source code for langchain.document_loaders.figma
"""Loader that 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 Fi... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/figma.html |
f12cd240fa70-0 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/url_selenium.html |
f12cd240fa70-1 | raise ImportError(
"selenium package not found, please install it with "
"`pip install selenium`"
)
try:
import unstructured # noqa:F401
except ImportError:
raise ImportError(
"unstructured package not found, please ins... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/url_selenium.html |
f12cd240fa70-2 | 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.binary_location
if self.executable_pat... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/url_selenium.html |
f4185e5de49b-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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/html_bs.html |
f4185e5de49b-1 | title = ""
metadata: Dict[str, Union[str, None]] = {
"source": self.file_path,
"title": title,
}
return [Document(page_content=text, metadata=metadata)]
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Jun 16, 2023. | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/html_bs.html |
183b8efc0563-0 | 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):
"""Loader that loads bilibili trans... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/bilibili.html |
183b8efc0563-1 | video_info = sync(v.get_info())
video_info.update({"url": url})
# Get subtitle url
subtitle = video_info.pop("subtitle")
sub_list = subtitle["list"]
if sub_list:
sub_url = sub_list[0]["subtitle_url"]
result = requests.get(sub_url)
raw_sub_title... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/bilibili.html |
3afbe1deec7b-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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/git.html |
3afbe1deec7b-1 | else:
repo = Repo(self.repo_path)
repo.git.checkout(self.branch)
docs: List[Document] = []
for item in repo.tree().traverse():
if not isinstance(item, Blob):
continue
file_path = os.path.join(self.repo_path, item.path)
ignored_f... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/git.html |
6e2090860bf2-0 | Source code for langchain.document_loaders.directory
"""Loading logic for loading 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 Base... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/directory.html |
6e2090860bf2-1 | self.loader_kwargs = loader_kwargs
self.silent_errors = silent_errors
self.recursive = recursive
self.show_progress = show_progress
self.use_multithreading = use_multithreading
self.max_concurrency = max_concurrency
[docs] def load_file(
self, item: Path, path: Path, d... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/directory.html |
6e2090860bf2-2 | logger.warning(e)
else:
raise e
if self.use_multithreading:
with concurrent.futures.ThreadPoolExecutor(
max_workers=self.max_concurrency
) as executor:
executor.map(lambda i: self.load_file(i, p, docs, pbar), items)
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/directory.html |
17cdee2265cf-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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/arxiv.html |
ee91b571049e-0 | Source code for langchain.document_loaders.notiondb
"""Notion DB loader for langchain"""
from typing import Any, Dict, List, Optional
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 = NOTIO... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/notiondb.html |
ee91b571049e-1 | 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(
self, query_dict: Dict[str, Any] = {"page_size": 100}
) -> List[str]:
"""Get all the pages... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/notiondb.html |
ee91b571049e-2 | [item["name"] for item in prop_data["multi_select"]]
if prop_data["multi_select"]
else []
)
elif prop_type == "url":
value = prop_data["url"]
else:
value = None
metadata[prop_name.lower()] = value... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/notiondb.html |
ee91b571049e-3 | ) -> Any:
res = requests.request(
method,
url,
headers=self.headers,
json=query_dict,
timeout=self.request_timeout_sec,
)
res.raise_for_status()
return res.json()
By Harrison Chase
© Copyright 2023, Harrison Chase.
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/notiondb.html |
0c72577a0214-0 | Source code for langchain.document_loaders.wikipedia
from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.utilities.wikipedia import WikipediaAPIWrapper
[docs]class WikipediaLoader(BaseLoader):
"""Loads a query resul... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/wikipedia.html |
e07d49cbeca3-0 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/imsdb.html |
38a99617d4ec-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."""
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/gutenberg.html |
8a0d2b241cd9-0 | Source code for langchain.document_loaders.word_document
"""Loader that loads word documents."""
import os
import tempfile
from abc import ABC
from typing import List
from urllib.parse import urlparse
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/word_document.html |
8a0d2b241cd9-1 | if hasattr(self, "temp_file"):
self.temp_file.close()
[docs] def load(self) -> List[Document]:
"""Load given path as single page."""
import docx2txt
return [
Document(
page_content=docx2txt.process(self.file_path),
metadata={"source": se... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/word_document.html |
8a0d2b241cd9-2 | f"You are on unstructured version {__unstructured_version__}. "
"Partitioning .doc files is only supported in unstructured>=0.4.11. "
"Please upgrade the unstructured package and try again."
)
if is_doc:
from unstructured.partition.doc import partition_doc... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/word_document.html |
945837cd4144-0 | Source code for langchain.memory.summary_buffer
from typing import Any, Dict, List
from pydantic import root_validator
from langchain.memory.chat_memory import BaseChatMemory
from langchain.memory.summary import SummarizerMixin
from langchain.schema import BaseMessage, get_buffer_string
[docs]class ConversationSummaryB... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/memory/summary_buffer.html |
945837cd4144-1 | if expected_keys != set(prompt_variables):
raise ValueError(
"Got unexpected prompt input variables. The prompt expects "
f"{prompt_variables}, but it should have {expected_keys}."
)
return values
[docs] def save_context(self, inputs: Dict[str, Any], ou... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/memory/summary_buffer.html |
b86c4976d853-0 | Source code for langchain.memory.kg
from typing import Any, Dict, List, Type, Union
from pydantic import Field
from langchain.base_language import BaseLanguageModel
from langchain.chains.llm import LLMChain
from langchain.graphs import NetworkxEntityGraph
from langchain.graphs.networkx_graph import KnowledgeTriple, get... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/memory/kg.html |
b86c4976d853-1 | entities = self._get_current_entities(inputs)
summary_strings = []
for entity in entities:
knowledge = self.kg.get_entity_knowledge(entity)
if knowledge:
summary = f"On {entity}: {'. '.join(knowledge)}."
summary_strings.append(summary)
cont... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/memory/kg.html |
b86c4976d853-2 | human_prefix=self.human_prefix,
ai_prefix=self.ai_prefix,
)
output = chain.predict(
history=buffer_string,
input=input_string,
)
return get_entities(output)
def _get_current_entities(self, inputs: Dict[str, Any]) -> List[str]:
"""Get the cu... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/memory/kg.html |
b86c4976d853-3 | [docs] def clear(self) -> None:
"""Clear memory contents."""
super().clear()
self.kg.clear()
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Jun 16, 2023. | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/memory/kg.html |
2890634ff7fb-0 | Source code for langchain.memory.token_buffer
from typing import Any, Dict, List
from langchain.base_language import BaseLanguageModel
from langchain.memory.chat_memory import BaseChatMemory
from langchain.schema import BaseMessage, get_buffer_string
[docs]class ConversationTokenBufferMemory(BaseChatMemory):
"""Buf... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/memory/token_buffer.html |
2890634ff7fb-1 | if curr_buffer_length > self.max_token_limit:
pruned_memory = []
while curr_buffer_length > self.max_token_limit:
pruned_memory.append(buffer.pop(0))
curr_buffer_length = self.llm.get_num_tokens_from_messages(buffer)
By Harrison Chase
© Copyright 2023, ... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/memory/token_buffer.html |
f754198f078c-0 | Source code for langchain.memory.entity
import logging
from abc import ABC, abstractmethod
from itertools import islice
from typing import Any, Dict, Iterable, List, Optional
from pydantic import BaseModel, Field
from langchain.base_language import BaseLanguageModel
from langchain.chains.llm import LLMChain
from langch... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/memory/entity.html |
f754198f078c-1 | return self.store.get(key, default)
[docs] def set(self, key: str, value: Optional[str]) -> None:
self.store[key] = value
[docs] def delete(self, key: str) -> None:
del self.store[key]
[docs] def exists(self, key: str) -> bool:
return key in self.store
[docs] def clear(self) -> None:... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/memory/entity.html |
f754198f078c-2 | self.redis_client = redis.Redis.from_url(url=url, decode_responses=True)
except redis.exceptions.ConnectionError as error:
logger.error(error)
self.session_id = session_id
self.key_prefix = key_prefix
self.ttl = ttl
self.recall_ttl = recall_ttl or ttl
@property
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/memory/entity.html |
f754198f078c-3 | iterator = iter(iterable)
while batch := list(islice(iterator, batch_size)):
yield batch
for keybatch in batched(
self.redis_client.scan_iter(f"{self.full_key_prefix}:*"), 500
):
self.redis_client.delete(*keybatch)
[docs]class SQLiteEntityStore(BaseEnt... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/memory/entity.html |
f754198f078c-4 | query = f"""
SELECT value
FROM {self.full_table_name}
WHERE key = ?
"""
cursor = self.conn.execute(query, (key,))
result = cursor.fetchone()
if result is not None:
value = result[0]
return value
return default
[docs] ... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/memory/entity.html |
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