Source code for langchain_community.document_loaders.quip

import logging
import re
import xml.etree.cElementTree  # OK: user-must-opt-in
from io import BytesIO
from typing import List, Optional, Sequence
from xml.etree.ElementTree import ElementTree  # OK: user-must-opt-in

from langchain_core.documents import Document

from langchain_community.document_loaders.base import BaseLoader

logger = logging.getLogger(__name__)

_MAXIMUM_TITLE_LENGTH = 64


[docs] class QuipLoader(BaseLoader): """Load `Quip` pages. Port of https://github.com/quip/quip-api/tree/master/samples/baqup """
[docs] def __init__( self, api_url: str, access_token: str, request_timeout: Optional[int] = 60, *, allow_dangerous_xml_parsing: bool = False, ): """ Args: api_url: https://platform.quip.com access_token: token of access quip API. Please refer: https://quip.com/dev/automation/documentation/current#section/Authentication/Get-Access-to-Quip's-APIs request_timeout: timeout of request, default 60s. allow_dangerous_xml_parsing: Allow dangerous XML parsing, defaults to False """ try: from quip_api.quip import QuipClient except ImportError: raise ImportError( "`quip_api` package not found, please run " "`pip install quip_api`" ) self.quip_client = QuipClient( access_token=access_token, base_url=api_url, request_timeout=request_timeout ) if not allow_dangerous_xml_parsing: raise ValueError( "The quip client uses the built-in XML parser which may cause" "security issues when parsing XML data in some cases. " "Please see " "https://docs.python.org/3/library/xml.html#xml-vulnerabilities " "For more information, set `allow_dangerous_xml_parsing` as True " "if you are sure that your distribution of the standard library " "is not vulnerable to XML vulnerabilities." )
[docs] def load( self, folder_ids: Optional[List[str]] = None, thread_ids: Optional[List[str]] = None, max_docs: Optional[int] = 1000, include_all_folders: bool = False, include_comments: bool = False, include_images: bool = False, ) -> List[Document]: """ Args: :param folder_ids: List of specific folder IDs to load, defaults to None :param thread_ids: List of specific thread IDs to load, defaults to None :param max_docs: Maximum number of docs to retrieve in total, defaults 1000 :param include_all_folders: Include all folders that your access_token can access, but doesn't include your private folder :param include_comments: Include comments, defaults to False :param include_images: Include images, defaults to False """ if not folder_ids and not thread_ids and not include_all_folders: raise ValueError( "Must specify at least one among `folder_ids`, `thread_ids` " "or set `include_all`_folders as True" ) thread_ids = thread_ids or [] if folder_ids: for folder_id in folder_ids: self.get_thread_ids_by_folder_id(folder_id, 0, thread_ids) if include_all_folders: user = self.quip_client.get_authenticated_user() if "group_folder_ids" in user: self.get_thread_ids_by_folder_id( user["group_folder_ids"], 0, thread_ids ) if "shared_folder_ids" in user: self.get_thread_ids_by_folder_id( user["shared_folder_ids"], 0, thread_ids ) thread_ids = list(set(thread_ids[:max_docs])) return self.process_threads(thread_ids, include_images, include_comments)
[docs] def get_thread_ids_by_folder_id( self, folder_id: str, depth: int, thread_ids: List[str] ) -> None: """Get thread ids by folder id and update in thread_ids""" from quip_api.quip import HTTPError, QuipError try: folder = self.quip_client.get_folder(folder_id) except QuipError as e: if e.code == 403: logging.warning( f"depth {depth}, Skipped over restricted folder {folder_id}, {e}" ) else: logging.warning( f"depth {depth}, Skipped over folder {folder_id} " f"due to unknown error {e.code}" ) return except HTTPError as e: logging.warning( f"depth {depth}, Skipped over folder {folder_id} " f"due to HTTP error {e.code}" ) return title = folder["folder"].get("title", "Folder %s" % folder_id) logging.info(f"depth {depth}, Processing folder {title}") for child in folder["children"]: if "folder_id" in child: self.get_thread_ids_by_folder_id( child["folder_id"], depth + 1, thread_ids ) elif "thread_id" in child: thread_ids.append(child["thread_id"])
[docs] def process_threads( self, thread_ids: Sequence[str], include_images: bool, include_messages: bool ) -> List[Document]: """Process a list of thread into a list of documents.""" docs = [] for thread_id in thread_ids: doc = self.process_thread(thread_id, include_images, include_messages) if doc is not None: docs.append(doc) return docs
[docs] def process_thread( self, thread_id: str, include_images: bool, include_messages: bool ) -> Optional[Document]: thread = self.quip_client.get_thread(thread_id) thread_id = thread["thread"]["id"] title = thread["thread"]["title"] link = thread["thread"]["link"] update_ts = thread["thread"]["updated_usec"] sanitized_title = QuipLoader._sanitize_title(title) logger.info( f"processing thread {thread_id} title {sanitized_title} " f"link {link} update_ts {update_ts}" ) if "html" in thread: # Parse the document try: tree = self.quip_client.parse_document_html(thread["html"]) except xml.etree.cElementTree.ParseError as e: logger.error(f"Error parsing thread {title} {thread_id}, skipping, {e}") return None metadata = { "title": sanitized_title, "update_ts": update_ts, "id": thread_id, "source": link, } # Download each image and replace with the new URL text = "" if include_images: text = self.process_thread_images(tree) if include_messages: text = text + "/n" + self.process_thread_messages(thread_id) return Document( page_content=thread["html"] + text, metadata=metadata, ) return None
[docs] def process_thread_images(self, tree: ElementTree) -> str: text = "" try: from PIL import Image from pytesseract import pytesseract except ImportError: raise ImportError( "`Pillow or pytesseract` package not found, " "please run " "`pip install Pillow` or `pip install pytesseract`" ) for img in tree.iter("img"): src = img.get("src") if not src or not src.startswith("/blob"): continue _, _, thread_id, blob_id = src.split("/") blob_response = self.quip_client.get_blob(thread_id, blob_id) try: image = Image.open(BytesIO(blob_response.read())) text = text + "\n" + pytesseract.image_to_string(image) except OSError as e: logger.error(f"failed to convert image to text, {e}") raise e return text
[docs] def process_thread_messages(self, thread_id: str) -> str: max_created_usec = None messages = [] while True: chunk = self.quip_client.get_messages( thread_id, max_created_usec=max_created_usec, count=100 ) messages.extend(chunk) if chunk: max_created_usec = chunk[-1]["created_usec"] - 1 else: break messages.reverse() texts = [message["text"] for message in messages] return "\n".join(texts)
@staticmethod def _sanitize_title(title: str) -> str: sanitized_title = re.sub(r"\s", " ", title) sanitized_title = re.sub(r"(?u)[^- \w.]", "", sanitized_title) if len(sanitized_title) > _MAXIMUM_TITLE_LENGTH: sanitized_title = sanitized_title[:_MAXIMUM_TITLE_LENGTH] return sanitized_title