mirror of
https://github.com/hwchase17/langchain
synced 2024-11-16 06:13:16 +00:00
ed58eeb9c5
Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes
234 lines
8.2 KiB
Python
234 lines
8.2 KiB
Python
import logging
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import re
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import xml.etree.cElementTree
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import xml.sax.saxutils
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from io import BytesIO
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from typing import List, Optional, Sequence
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from xml.etree.ElementTree import ElementTree
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from langchain_core.documents import Document
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from langchain_community.document_loaders.base import BaseLoader
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logger = logging.getLogger(__name__)
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_MAXIMUM_TITLE_LENGTH = 64
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class QuipLoader(BaseLoader):
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"""Load `Quip` pages.
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Port of https://github.com/quip/quip-api/tree/master/samples/baqup
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"""
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def __init__(
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self, api_url: str, access_token: str, request_timeout: Optional[int] = 60
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):
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"""
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Args:
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api_url: https://platform.quip.com
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access_token: token of access quip API. Please refer:
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https://quip.com/dev/automation/documentation/current#section/Authentication/Get-Access-to-Quip's-APIs
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request_timeout: timeout of request, default 60s.
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"""
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try:
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from quip_api.quip import QuipClient
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except ImportError:
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raise ImportError(
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"`quip_api` package not found, please run " "`pip install quip_api`"
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)
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self.quip_client = QuipClient(
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access_token=access_token, base_url=api_url, request_timeout=request_timeout
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)
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def load(
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self,
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folder_ids: Optional[List[str]] = None,
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thread_ids: Optional[List[str]] = None,
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max_docs: Optional[int] = 1000,
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include_all_folders: bool = False,
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include_comments: bool = False,
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include_images: bool = False,
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) -> List[Document]:
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"""
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Args:
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:param folder_ids: List of specific folder IDs to load, defaults to None
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:param thread_ids: List of specific thread IDs to load, defaults to None
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:param max_docs: Maximum number of docs to retrieve in total, defaults 1000
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:param include_all_folders: Include all folders that your access_token
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can access, but doesn't include your private folder
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:param include_comments: Include comments, defaults to False
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:param include_images: Include images, defaults to False
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"""
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if not folder_ids and not thread_ids and not include_all_folders:
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raise ValueError(
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"Must specify at least one among `folder_ids`, `thread_ids` "
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"or set `include_all`_folders as True"
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)
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thread_ids = thread_ids or []
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if folder_ids:
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for folder_id in folder_ids:
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self.get_thread_ids_by_folder_id(folder_id, 0, thread_ids)
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if include_all_folders:
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user = self.quip_client.get_authenticated_user()
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if "group_folder_ids" in user:
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self.get_thread_ids_by_folder_id(
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user["group_folder_ids"], 0, thread_ids
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)
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if "shared_folder_ids" in user:
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self.get_thread_ids_by_folder_id(
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user["shared_folder_ids"], 0, thread_ids
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)
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thread_ids = list(set(thread_ids[:max_docs]))
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return self.process_threads(thread_ids, include_images, include_comments)
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def get_thread_ids_by_folder_id(
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self, folder_id: str, depth: int, thread_ids: List[str]
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) -> None:
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"""Get thread ids by folder id and update in thread_ids"""
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from quip_api.quip import HTTPError, QuipError
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try:
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folder = self.quip_client.get_folder(folder_id)
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except QuipError as e:
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if e.code == 403:
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logging.warning(
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f"depth {depth}, Skipped over restricted folder {folder_id}, {e}"
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)
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else:
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logging.warning(
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f"depth {depth}, Skipped over folder {folder_id} "
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f"due to unknown error {e.code}"
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)
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return
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except HTTPError as e:
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logging.warning(
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f"depth {depth}, Skipped over folder {folder_id} "
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f"due to HTTP error {e.code}"
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)
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return
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title = folder["folder"].get("title", "Folder %s" % folder_id)
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logging.info(f"depth {depth}, Processing folder {title}")
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for child in folder["children"]:
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if "folder_id" in child:
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self.get_thread_ids_by_folder_id(
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child["folder_id"], depth + 1, thread_ids
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)
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elif "thread_id" in child:
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thread_ids.append(child["thread_id"])
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def process_threads(
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self, thread_ids: Sequence[str], include_images: bool, include_messages: bool
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) -> List[Document]:
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"""Process a list of thread into a list of documents."""
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docs = []
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for thread_id in thread_ids:
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doc = self.process_thread(thread_id, include_images, include_messages)
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if doc is not None:
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docs.append(doc)
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return docs
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def process_thread(
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self, thread_id: str, include_images: bool, include_messages: bool
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) -> Optional[Document]:
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thread = self.quip_client.get_thread(thread_id)
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thread_id = thread["thread"]["id"]
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title = thread["thread"]["title"]
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link = thread["thread"]["link"]
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update_ts = thread["thread"]["updated_usec"]
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sanitized_title = QuipLoader._sanitize_title(title)
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logger.info(
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f"processing thread {thread_id} title {sanitized_title} "
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f"link {link} update_ts {update_ts}"
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)
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if "html" in thread:
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# Parse the document
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try:
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tree = self.quip_client.parse_document_html(thread["html"])
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except xml.etree.cElementTree.ParseError as e:
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logger.error(f"Error parsing thread {title} {thread_id}, skipping, {e}")
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return None
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metadata = {
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"title": sanitized_title,
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"update_ts": update_ts,
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"id": thread_id,
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"source": link,
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}
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# Download each image and replace with the new URL
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text = ""
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if include_images:
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text = self.process_thread_images(tree)
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if include_messages:
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text = text + "/n" + self.process_thread_messages(thread_id)
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return Document(
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page_content=thread["html"] + text,
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metadata=metadata,
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)
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return None
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def process_thread_images(self, tree: ElementTree) -> str:
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text = ""
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try:
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from PIL import Image
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from pytesseract import pytesseract
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except ImportError:
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raise ImportError(
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"`Pillow or pytesseract` package not found, "
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"please run "
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"`pip install Pillow` or `pip install pytesseract`"
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)
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for img in tree.iter("img"):
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src = img.get("src")
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if not src or not src.startswith("/blob"):
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continue
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_, _, thread_id, blob_id = src.split("/")
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blob_response = self.quip_client.get_blob(thread_id, blob_id)
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try:
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image = Image.open(BytesIO(blob_response.read()))
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text = text + "\n" + pytesseract.image_to_string(image)
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except OSError as e:
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logger.error(f"failed to convert image to text, {e}")
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raise e
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return text
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def process_thread_messages(self, thread_id: str) -> str:
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max_created_usec = None
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messages = []
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while True:
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chunk = self.quip_client.get_messages(
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thread_id, max_created_usec=max_created_usec, count=100
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)
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messages.extend(chunk)
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if chunk:
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max_created_usec = chunk[-1]["created_usec"] - 1
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else:
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break
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messages.reverse()
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texts = [message["text"] for message in messages]
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return "\n".join(texts)
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@staticmethod
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def _sanitize_title(title: str) -> str:
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sanitized_title = re.sub(r"\s", " ", title)
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sanitized_title = re.sub(r"(?u)[^- \w.]", "", sanitized_title)
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if len(sanitized_title) > _MAXIMUM_TITLE_LENGTH:
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sanitized_title = sanitized_title[:_MAXIMUM_TITLE_LENGTH]
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return sanitized_title
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