mirror of
https://github.com/open-webui/open-webui.git
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744 lines
32 KiB
Python
744 lines
32 KiB
Python
import logging
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import time
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import os
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import shutil
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import json
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import re
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from typing import Optional, Set
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from pathlib import Path
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from fastapi import APIRouter, Depends, HTTPException, status
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from pydantic import BaseModel
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from sqlalchemy import text
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from open_webui.utils.auth import get_admin_user
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from open_webui.models.users import Users
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from open_webui.models.chats import Chats
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from open_webui.models.files import Files
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from open_webui.models.notes import Notes
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from open_webui.models.prompts import Prompts
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from open_webui.models.models import Models
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from open_webui.models.knowledge import Knowledges
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from open_webui.models.functions import Functions
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from open_webui.models.tools import Tools
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from open_webui.models.folders import Folders
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from open_webui.retrieval.vector.factory import VECTOR_DB_CLIENT, VECTOR_DB
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from open_webui.constants import ERROR_MESSAGES
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from open_webui.env import SRC_LOG_LEVELS
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from open_webui.config import CACHE_DIR
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from open_webui.internal.db import get_db
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log = logging.getLogger(__name__)
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log.setLevel(SRC_LOG_LEVELS["MODELS"])
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router = APIRouter()
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class PruneDataForm(BaseModel):
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days: Optional[int] = None
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exempt_archived_chats: bool = False
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exempt_chats_in_folders: bool = False
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# Orphaned resource deletion toggles (for deleted users)
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delete_orphaned_chats: bool = True
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delete_orphaned_tools: bool = False
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delete_orphaned_functions: bool = False
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delete_orphaned_prompts: bool = True
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delete_orphaned_knowledge_bases: bool = True
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delete_orphaned_models: bool = True
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delete_orphaned_notes: bool = True
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delete_orphaned_folders: bool = True
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# Audio cache cleanup
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audio_cache_max_age_days: Optional[int] = 30
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def get_active_file_ids() -> Set[str]:
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"""
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Get all file IDs that are actively referenced by knowledge bases, chats, folders, and messages.
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This is the ground truth for what files should be preserved.
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"""
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active_file_ids = set()
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try:
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# 1. Get files referenced by knowledge bases (original logic)
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knowledge_bases = Knowledges.get_knowledge_bases()
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log.debug(f"Found {len(knowledge_bases)} knowledge bases")
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for kb in knowledge_bases:
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if not kb.data:
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continue
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# Handle different possible data structures for file references
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file_ids = []
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# Check for file_ids array
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if isinstance(kb.data, dict) and "file_ids" in kb.data:
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if isinstance(kb.data["file_ids"], list):
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file_ids.extend(kb.data["file_ids"])
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# Check for files array with id field
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if isinstance(kb.data, dict) and "files" in kb.data:
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if isinstance(kb.data["files"], list):
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for file_ref in kb.data["files"]:
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if isinstance(file_ref, dict) and "id" in file_ref:
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file_ids.append(file_ref["id"])
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elif isinstance(file_ref, str):
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file_ids.append(file_ref)
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# Add all found file IDs
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for file_id in file_ids:
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if isinstance(file_id, str) and file_id.strip():
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active_file_ids.add(file_id.strip())
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log.debug(f"KB {kb.id} references file {file_id}")
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# 2. Get files referenced in chats (NEW: scan chat JSON for file references)
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chats = Chats.get_chats()
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log.debug(f"Found {len(chats)} chats to scan for file references")
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for chat in chats:
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if not chat.chat or not isinstance(chat.chat, dict):
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continue
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try:
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# Convert entire chat JSON to string and extract all file IDs
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chat_json_str = json.dumps(chat.chat)
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# Find all file ID patterns in the JSON
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# Pattern 1: "id": "uuid" where uuid looks like a file ID
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file_id_pattern = re.compile(r'"id":\s*"([a-fA-F0-9]{8}-[a-fA-F0-9]{4}-[a-fA-F0-9]{4}-[a-fA-F0-9]{4}-[a-fA-F0-9]{12})"')
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potential_file_ids = file_id_pattern.findall(chat_json_str)
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# Pattern 2: URLs containing /api/v1/files/uuid
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url_pattern = re.compile(r'/api/v1/files/([a-fA-F0-9]{8}-[a-fA-F0-9]{4}-[a-fA-F0-9]{4}-[a-fA-F0-9]{4}-[a-fA-F0-9]{12})')
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url_file_ids = url_pattern.findall(chat_json_str)
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# Combine and validate against actual file records
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all_potential_ids = set(potential_file_ids + url_file_ids)
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for file_id in all_potential_ids:
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# Verify this ID exists in the file table to avoid false positives
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if Files.get_file_by_id(file_id):
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active_file_ids.add(file_id)
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log.debug(f"Chat {chat.id}: Found active file {file_id}")
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except Exception as e:
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log.debug(f"Error processing chat {chat.id} for file references: {e}")
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# 3. Get files referenced in folders (scan folder.items, folder.data, folder.meta)
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try:
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folders = Folders.get_all_folders()
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log.debug(f"Found {len(folders)} folders to scan for file references")
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for folder in folders:
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# Check folder.items JSON
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if folder.items:
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try:
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items_str = json.dumps(folder.items)
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# Look for file ID patterns in the JSON
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file_id_pattern = re.compile(r'"id":\s*"([a-fA-F0-9]{8}-[a-fA-F0-9]{4}-[a-fA-F0-9]{4}-[a-fA-F0-9]{4}-[a-fA-F0-9]{12})"')
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url_pattern = re.compile(r'/api/v1/files/([a-fA-F0-9]{8}-[a-fA-F0-9]{4}-[a-fA-F0-9]{4}-[a-fA-F0-9]{4}-[a-fA-F0-9]{12})')
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potential_ids = file_id_pattern.findall(items_str) + url_pattern.findall(items_str)
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for file_id in potential_ids:
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if Files.get_file_by_id(file_id):
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active_file_ids.add(file_id)
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log.debug(f"Folder {folder.id}: Found file {file_id} in items")
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except Exception as e:
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log.debug(f"Error processing folder {folder.id} items: {e}")
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# Check folder.data JSON
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if hasattr(folder, 'data') and folder.data:
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try:
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data_str = json.dumps(folder.data)
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file_id_pattern = re.compile(r'"id":\s*"([a-fA-F0-9]{8}-[a-fA-F0-9]{4}-[a-fA-F0-9]{4}-[a-fA-F0-9]{4}-[a-fA-F0-9]{12})"')
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url_pattern = re.compile(r'/api/v1/files/([a-fA-F0-9]{8}-[a-fA-F0-9]{4}-[a-fA-F0-9]{4}-[a-fA-F0-9]{4}-[a-fA-F0-9]{12})')
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potential_ids = file_id_pattern.findall(data_str) + url_pattern.findall(data_str)
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for file_id in potential_ids:
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if Files.get_file_by_id(file_id):
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active_file_ids.add(file_id)
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log.debug(f"Folder {folder.id}: Found file {file_id} in data")
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except Exception as e:
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log.debug(f"Error processing folder {folder.id} data: {e}")
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except Exception as e:
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log.debug(f"Error scanning folders for file references: {e}")
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# 4. Get files referenced in standalone messages (message table)
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try:
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# Query message table directly since we may not have a Messages model
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with get_db() as db:
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message_results = db.execute(text("SELECT id, data FROM message WHERE data IS NOT NULL")).fetchall()
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log.debug(f"Found {len(message_results)} messages with data to scan")
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for message_id, message_data_json in message_results:
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if message_data_json:
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try:
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# Convert JSON to string and scan for file patterns
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data_str = json.dumps(message_data_json) if isinstance(message_data_json, dict) else str(message_data_json)
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file_id_pattern = re.compile(r'"id":\s*"([a-fA-F0-9]{8}-[a-fA-F0-9]{4}-[a-fA-F0-9]{4}-[a-fA-F0-9]{4}-[a-fA-F0-9]{12})"')
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url_pattern = re.compile(r'/api/v1/files/([a-fA-F0-9]{8}-[a-fA-F0-9]{4}-[a-fA-F0-9]{4}-[a-fA-F0-9]{4}-[a-fA-F0-9]{12})')
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potential_ids = file_id_pattern.findall(data_str) + url_pattern.findall(data_str)
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for file_id in potential_ids:
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if Files.get_file_by_id(file_id):
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active_file_ids.add(file_id)
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log.debug(f"Message {message_id}: Found file {file_id}")
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except Exception as e:
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log.debug(f"Error processing message {message_id} data: {e}")
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except Exception as e:
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log.debug(f"Error scanning messages for file references: {e}")
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except Exception as e:
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log.error(f"Error determining active file IDs: {e}")
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# Fail safe: return empty set, which will prevent deletion
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return set()
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log.info(f"Found {len(active_file_ids)} active file IDs")
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return active_file_ids
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def safe_delete_vector_collection(collection_name: str) -> bool:
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"""
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Safely delete a vector collection, handling both logical and physical cleanup.
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"""
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try:
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# First, try to delete the collection through the client
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try:
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VECTOR_DB_CLIENT.delete_collection(collection_name=collection_name)
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log.debug(f"Deleted collection from vector DB: {collection_name}")
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except Exception as e:
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log.debug(f"Collection {collection_name} may not exist in DB: {e}")
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# Then, handle physical cleanup for ChromaDB
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if "chroma" in VECTOR_DB.lower():
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vector_dir = Path(CACHE_DIR).parent / "vector_db" / collection_name
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if vector_dir.exists() and vector_dir.is_dir():
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shutil.rmtree(vector_dir)
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log.debug(f"Deleted physical vector directory: {vector_dir}")
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return True
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return True
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except Exception as e:
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log.error(f"Error deleting vector collection {collection_name}: {e}")
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return False
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def safe_delete_file_by_id(file_id: str) -> bool:
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"""
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Safely delete a file record and its associated vector collection.
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"""
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try:
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# Get file info before deletion
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file_record = Files.get_file_by_id(file_id)
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if not file_record:
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log.debug(f"File {file_id} not found in database")
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return True # Already gone
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# Delete vector collection first
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collection_name = f"file-{file_id}"
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safe_delete_vector_collection(collection_name)
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# Delete database record
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Files.delete_file_by_id(file_id)
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log.debug(f"Deleted file record: {file_id}")
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return True
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except Exception as e:
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log.error(f"Error deleting file {file_id}: {e}")
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return False
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def cleanup_orphaned_uploads(active_file_ids: Set[str]) -> None:
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"""
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Clean up orphaned files in the uploads directory.
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"""
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upload_dir = Path(CACHE_DIR).parent / "uploads"
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if not upload_dir.exists():
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log.debug("Uploads directory does not exist")
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return
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deleted_count = 0
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try:
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for file_path in upload_dir.iterdir():
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if not file_path.is_file():
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continue
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filename = file_path.name
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# Extract file ID from filename (common patterns)
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file_id = None
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# Pattern 1: UUID_filename or UUID-filename
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if len(filename) > 36:
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potential_id = filename[:36]
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if potential_id.count('-') == 4: # UUID format
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file_id = potential_id
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# Pattern 2: filename might be the file ID itself
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if not file_id and filename.count('-') == 4 and len(filename) == 36:
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file_id = filename
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# Pattern 3: Check if any part of filename matches active IDs
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if not file_id:
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for active_id in active_file_ids:
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if active_id in filename:
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file_id = active_id
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break
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# If we found a potential file ID and it's not active, delete it
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if file_id and file_id not in active_file_ids:
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try:
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file_path.unlink()
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deleted_count += 1
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log.debug(f"Deleted orphaned upload file: {filename}")
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except Exception as e:
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log.error(f"Failed to delete upload file {filename}: {e}")
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except Exception as e:
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log.error(f"Error cleaning uploads directory: {e}")
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if deleted_count > 0:
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log.info(f"Deleted {deleted_count} orphaned upload files")
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def cleanup_orphaned_vector_collections(active_file_ids: Set[str], active_kb_ids: Set[str]) -> None:
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"""
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Clean up orphaned vector collections by querying ChromaDB metadata.
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"""
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if "chroma" not in VECTOR_DB.lower():
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return
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vector_dir = Path(CACHE_DIR).parent / "vector_db"
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if not vector_dir.exists():
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log.debug("Vector DB directory does not exist")
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return
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chroma_db_path = vector_dir / "chroma.sqlite3"
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if not chroma_db_path.exists():
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log.debug("ChromaDB metadata file does not exist")
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return
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# Build expected collection names
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expected_collections = set()
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# File collections: file-{file_id}
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for file_id in active_file_ids:
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expected_collections.add(f"file-{file_id}")
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# Knowledge base collections: {kb_id}
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for kb_id in active_kb_ids:
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expected_collections.add(kb_id)
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log.debug(f"Expected collections to preserve: {expected_collections}")
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# Query ChromaDB metadata to get the complete mapping chain:
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# Directory UUID -> Collection ID -> Collection Name
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uuid_to_collection = {}
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try:
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import sqlite3
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log.debug(f"Attempting to connect to ChromaDB at: {chroma_db_path}")
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with sqlite3.connect(str(chroma_db_path)) as conn:
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# First, check what tables exist
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tables = conn.execute("SELECT name FROM sqlite_master WHERE type='table'").fetchall()
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log.debug(f"ChromaDB tables: {tables}")
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# Check the schema of collections table
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schema = conn.execute("PRAGMA table_info(collections)").fetchall()
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log.debug(f"Collections table schema: {schema}")
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# Get Collection ID -> Collection Name mapping
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collection_id_to_name = {}
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cursor = conn.execute("SELECT id, name FROM collections")
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rows = cursor.fetchall()
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log.debug(f"Raw ChromaDB collections query results: {rows}")
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for row in rows:
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collection_id, collection_name = row
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collection_id_to_name[collection_id] = collection_name
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log.debug(f"Mapped collection ID {collection_id} -> name {collection_name}")
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# Get Directory UUID -> Collection ID mapping from segments table
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# Only interested in VECTOR segments as those are the actual data directories
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cursor = conn.execute("SELECT id, collection FROM segments WHERE scope = 'VECTOR'")
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segment_rows = cursor.fetchall()
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log.debug(f"Raw ChromaDB segments query results: {segment_rows}")
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for row in segment_rows:
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segment_id, collection_id = row
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if collection_id in collection_id_to_name:
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collection_name = collection_id_to_name[collection_id]
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uuid_to_collection[segment_id] = collection_name
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log.debug(f"Mapped directory UUID {segment_id} -> collection {collection_name}")
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log.debug(f"Final uuid_to_collection mapping: {uuid_to_collection}")
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log.info(f"Found {len(uuid_to_collection)} vector segments in ChromaDB metadata")
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except Exception as e:
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log.error(f"Error reading ChromaDB metadata: {e}")
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# Fail safe: don't delete anything if we can't read metadata
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return
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deleted_count = 0
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try:
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for collection_dir in vector_dir.iterdir():
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if not collection_dir.is_dir():
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continue
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dir_uuid = collection_dir.name
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# Skip system/metadata files
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if dir_uuid.startswith('.'):
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continue
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# Get the actual collection name from metadata
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collection_name = uuid_to_collection.get(dir_uuid)
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if collection_name is None:
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# Directory exists but no metadata entry - it's orphaned
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log.debug(f"Directory {dir_uuid} has no metadata entry, deleting")
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try:
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shutil.rmtree(collection_dir)
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deleted_count += 1
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except Exception as e:
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log.error(f"Failed to delete orphaned directory {dir_uuid}: {e}")
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elif collection_name not in expected_collections:
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# Collection exists but should be deleted
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log.debug(f"Collection {collection_name} (UUID: {dir_uuid}) is orphaned, deleting")
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try:
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shutil.rmtree(collection_dir)
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deleted_count += 1
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except Exception as e:
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log.error(f"Failed to delete collection directory {dir_uuid}: {e}")
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else:
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# Collection should be preserved
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log.debug(f"Preserving collection {collection_name} (UUID: {dir_uuid})")
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except Exception as e:
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log.error(f"Error cleaning vector collections: {e}")
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if deleted_count > 0:
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log.info(f"Deleted {deleted_count} orphaned vector collections")
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def cleanup_audio_cache(max_age_days: Optional[int] = 30) -> None:
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"""
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Clean up audio cache files older than specified days.
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Args:
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max_age_days: Delete audio files older than this many days. If None, skip audio cleanup.
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"""
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if max_age_days is None:
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log.info("Skipping audio cache cleanup (max_age_days is None)")
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return
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cutoff_time = time.time() - (max_age_days * 86400)
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deleted_count = 0
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total_size_deleted = 0
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# Audio cache directories
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audio_dirs = [
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Path(CACHE_DIR) / "audio" / "speech",
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Path(CACHE_DIR) / "audio" / "transcriptions"
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]
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for audio_dir in audio_dirs:
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if not audio_dir.exists():
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log.debug(f"Audio directory does not exist: {audio_dir}")
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continue
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try:
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for file_path in audio_dir.iterdir():
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if not file_path.is_file():
|
|
continue
|
|
|
|
# Check file age
|
|
file_mtime = file_path.stat().st_mtime
|
|
if file_mtime < cutoff_time:
|
|
try:
|
|
file_size = file_path.stat().st_size
|
|
file_path.unlink()
|
|
deleted_count += 1
|
|
total_size_deleted += file_size
|
|
log.debug(f"Deleted old audio file: {file_path}")
|
|
except Exception as e:
|
|
log.error(f"Failed to delete audio file {file_path}: {e}")
|
|
|
|
except Exception as e:
|
|
log.error(f"Error cleaning audio directory {audio_dir}: {e}")
|
|
|
|
if deleted_count > 0:
|
|
size_mb = total_size_deleted / (1024 * 1024)
|
|
log.info(f"Deleted {deleted_count} audio cache files ({size_mb:.1f} MB), older than {max_age_days} days")
|
|
|
|
|
|
@router.post("/", response_model=bool)
|
|
async def prune_data(form_data: PruneDataForm, user=Depends(get_admin_user)):
|
|
"""
|
|
Prunes old and orphaned data using a safe, multi-stage process.
|
|
|
|
Parameters:
|
|
- days: Optional[int] = None
|
|
- If None: Skip chat deletion entirely
|
|
- If 0: Delete all chats (older than 0 days = all chats)
|
|
- If >= 1: Delete chats older than specified number of days
|
|
- exempt_archived_chats: bool = False
|
|
- If True: Exempt archived chats from deletion (only applies when days is not None)
|
|
- exempt_chats_in_folders: bool = False
|
|
- If True: Exempt chats that are in folders OR pinned chats from deletion (only applies when days is not None)
|
|
Note: Pinned chats behave the same as chats in folders
|
|
- delete_orphaned_chats: bool = True
|
|
- If True: Delete chats from deleted users
|
|
- delete_orphaned_tools: bool = True
|
|
- If True: Delete tools from deleted users
|
|
- delete_orphaned_functions: bool = True
|
|
- If True: Delete functions from deleted users
|
|
- delete_orphaned_prompts: bool = True
|
|
- If True: Delete prompts from deleted users
|
|
- delete_orphaned_knowledge_bases: bool = True
|
|
- If True: Delete knowledge bases from deleted users
|
|
- delete_orphaned_models: bool = True
|
|
- If True: Delete models from deleted users
|
|
- delete_orphaned_notes: bool = True
|
|
- If True: Delete notes from deleted users
|
|
- delete_orphaned_folders: bool = True
|
|
- If True: Delete folders from deleted users
|
|
- audio_cache_max_age_days: Optional[int] = 30
|
|
- If None: Skip audio cache cleanup
|
|
- If >= 0: Delete audio cache files (TTS, STT) older than specified days
|
|
"""
|
|
try:
|
|
log.info("Starting data pruning process")
|
|
|
|
# Stage 1: Delete old chats based on user criteria (optional)
|
|
if form_data.days is not None:
|
|
cutoff_time = int(time.time()) - (form_data.days * 86400)
|
|
chats_to_delete = []
|
|
|
|
for chat in Chats.get_chats():
|
|
if chat.updated_at < cutoff_time:
|
|
# Check exemption conditions
|
|
if form_data.exempt_archived_chats and chat.archived:
|
|
log.debug(f"Exempting archived chat: {chat.id}")
|
|
continue
|
|
if form_data.exempt_chats_in_folders and (getattr(chat, 'folder_id', None) is not None or getattr(chat, 'pinned', False)):
|
|
folder_status = f"folder_id: {getattr(chat, 'folder_id', None)}" if getattr(chat, 'folder_id', None) else "not in folder"
|
|
pinned_status = f"pinned: {getattr(chat, 'pinned', False)}"
|
|
log.debug(f"Exempting chat in folder or pinned: {chat.id} ({folder_status}, {pinned_status})")
|
|
continue
|
|
log.debug(f"Chat {chat.id} will be deleted - archived: {getattr(chat, 'archived', False)}, folder_id: {getattr(chat, 'folder_id', None)}, pinned: {getattr(chat, 'pinned', False)}")
|
|
chats_to_delete.append(chat)
|
|
|
|
if chats_to_delete:
|
|
log.info(f"Deleting {len(chats_to_delete)} old chats (older than {form_data.days} days)")
|
|
for chat in chats_to_delete:
|
|
Chats.delete_chat_by_id(chat.id)
|
|
else:
|
|
log.info(f"No chats found older than {form_data.days} days")
|
|
else:
|
|
log.info("Skipping chat deletion (days parameter is None)")
|
|
|
|
# Stage 2: Build ground truth of what should be preserved
|
|
log.info("Building preservation set")
|
|
|
|
# Get all active users
|
|
active_user_ids = {user.id for user in Users.get_users()["users"]}
|
|
log.info(f"Found {len(active_user_ids)} active users")
|
|
|
|
# Get all active knowledge bases and their file references
|
|
active_kb_ids = set()
|
|
knowledge_bases = Knowledges.get_knowledge_bases()
|
|
|
|
for kb in knowledge_bases:
|
|
if kb.user_id in active_user_ids:
|
|
active_kb_ids.add(kb.id)
|
|
|
|
log.info(f"Found {len(active_kb_ids)} active knowledge bases")
|
|
|
|
# Get all files that should be preserved (NOW COMPREHENSIVE!)
|
|
active_file_ids = get_active_file_ids()
|
|
|
|
# Stage 3: Delete orphaned database records
|
|
log.info("Deleting orphaned database records")
|
|
|
|
# Delete files not referenced by any knowledge base or belonging to deleted users
|
|
deleted_files = 0
|
|
for file_record in Files.get_files():
|
|
should_delete = (
|
|
file_record.id not in active_file_ids or
|
|
file_record.user_id not in active_user_ids
|
|
)
|
|
|
|
if should_delete:
|
|
if safe_delete_file_by_id(file_record.id):
|
|
deleted_files += 1
|
|
|
|
if deleted_files > 0:
|
|
log.info(f"Deleted {deleted_files} orphaned files")
|
|
|
|
# Delete knowledge bases from deleted users (if enabled)
|
|
deleted_kbs = 0
|
|
if form_data.delete_orphaned_knowledge_bases:
|
|
for kb in knowledge_bases:
|
|
if kb.user_id not in active_user_ids:
|
|
if safe_delete_vector_collection(kb.id):
|
|
Knowledges.delete_knowledge_by_id(kb.id)
|
|
deleted_kbs += 1
|
|
|
|
if deleted_kbs > 0:
|
|
log.info(f"Deleted {deleted_kbs} orphaned knowledge bases")
|
|
else:
|
|
log.info("Skipping knowledge base deletion (disabled)")
|
|
|
|
# Delete other user-owned resources from deleted users (conditional)
|
|
deleted_others = 0
|
|
|
|
# Delete orphaned chats of deleted users (conditional)
|
|
if form_data.delete_orphaned_chats:
|
|
chats_deleted = 0
|
|
for chat in Chats.get_chats():
|
|
if chat.user_id not in active_user_ids:
|
|
Chats.delete_chat_by_id(chat.id)
|
|
chats_deleted += 1
|
|
deleted_others += 1
|
|
if chats_deleted > 0:
|
|
log.info(f"Deleted {chats_deleted} orphaned chats")
|
|
else:
|
|
log.info("Skipping orphaned chat deletion (disabled)")
|
|
|
|
# Delete orphaned tools of deleted users (conditional)
|
|
if form_data.delete_orphaned_tools:
|
|
tools_deleted = 0
|
|
for tool in Tools.get_tools():
|
|
if tool.user_id not in active_user_ids:
|
|
Tools.delete_tool_by_id(tool.id)
|
|
tools_deleted += 1
|
|
deleted_others += 1
|
|
if tools_deleted > 0:
|
|
log.info(f"Deleted {tools_deleted} orphaned tools")
|
|
else:
|
|
log.info("Skipping tool deletion (disabled)")
|
|
|
|
# Delete orphaned functions of deleted users (conditional)
|
|
if form_data.delete_orphaned_functions:
|
|
functions_deleted = 0
|
|
for function in Functions.get_functions():
|
|
if function.user_id not in active_user_ids:
|
|
Functions.delete_function_by_id(function.id)
|
|
functions_deleted += 1
|
|
deleted_others += 1
|
|
if functions_deleted > 0:
|
|
log.info(f"Deleted {functions_deleted} orphaned functions")
|
|
else:
|
|
log.info("Skipping function deletion (disabled)")
|
|
|
|
# Delete orphaned notes of deleted users (conditional)
|
|
if form_data.delete_orphaned_notes:
|
|
notes_deleted = 0
|
|
for note in Notes.get_notes():
|
|
if note.user_id not in active_user_ids:
|
|
Notes.delete_note_by_id(note.id)
|
|
notes_deleted += 1
|
|
deleted_others += 1
|
|
if notes_deleted > 0:
|
|
log.info(f"Deleted {notes_deleted} orphaned notes")
|
|
else:
|
|
log.info("Skipping note deletion (disabled)")
|
|
|
|
# Delete orphaned prompts of deleted users (conditional)
|
|
if form_data.delete_orphaned_prompts:
|
|
prompts_deleted = 0
|
|
for prompt in Prompts.get_prompts():
|
|
if prompt.user_id not in active_user_ids:
|
|
Prompts.delete_prompt_by_command(prompt.command)
|
|
prompts_deleted += 1
|
|
deleted_others += 1
|
|
if prompts_deleted > 0:
|
|
log.info(f"Deleted {prompts_deleted} orphaned prompts")
|
|
else:
|
|
log.info("Skipping prompt deletion (disabled)")
|
|
|
|
# Delete orphaned models of deleted users (conditional)
|
|
if form_data.delete_orphaned_models:
|
|
models_deleted = 0
|
|
for model in Models.get_all_models():
|
|
if model.user_id not in active_user_ids:
|
|
Models.delete_model_by_id(model.id)
|
|
models_deleted += 1
|
|
deleted_others += 1
|
|
if models_deleted > 0:
|
|
log.info(f"Deleted {models_deleted} orphaned models")
|
|
else:
|
|
log.info("Skipping model deletion (disabled)")
|
|
|
|
# Delete orphaned folders of deleted users (conditional)
|
|
if form_data.delete_orphaned_folders:
|
|
folders_deleted = 0
|
|
for folder in Folders.get_all_folders():
|
|
if folder.user_id not in active_user_ids:
|
|
Folders.delete_folder_by_id_and_user_id(folder.id, folder.user_id, delete_chats=False)
|
|
folders_deleted += 1
|
|
deleted_others += 1
|
|
if folders_deleted > 0:
|
|
log.info(f"Deleted {folders_deleted} orphaned folders")
|
|
else:
|
|
log.info("Skipping folder deletion (disabled)")
|
|
|
|
if deleted_others > 0:
|
|
log.info(f"Total other orphaned records deleted: {deleted_others}")
|
|
|
|
# Stage 4: Clean up orphaned physical files
|
|
log.info("Cleaning up orphaned physical files")
|
|
|
|
# Rebuild active sets after database cleanup
|
|
final_active_file_ids = get_active_file_ids()
|
|
final_active_kb_ids = {kb.id for kb in Knowledges.get_knowledge_bases()}
|
|
|
|
# Clean uploads directory
|
|
cleanup_orphaned_uploads(final_active_file_ids)
|
|
|
|
# Clean vector collections
|
|
cleanup_orphaned_vector_collections(final_active_file_ids, final_active_kb_ids)
|
|
|
|
# Stage 5: Audio cache cleanup
|
|
log.info("Cleaning audio cache")
|
|
cleanup_audio_cache(form_data.audio_cache_max_age_days)
|
|
|
|
# Stage 6: Database optimization
|
|
log.info("Optimizing database")
|
|
|
|
# Vacuum main database
|
|
try:
|
|
with get_db() as db:
|
|
db.execute(text("VACUUM"))
|
|
log.debug("Vacuumed main database")
|
|
except Exception as e:
|
|
log.error(f"Failed to vacuum main database: {e}")
|
|
|
|
# Vacuum ChromaDB database if it exists
|
|
if "chroma" in VECTOR_DB.lower():
|
|
chroma_db_path = Path(CACHE_DIR).parent / "vector_db" / "chroma.sqlite3"
|
|
if chroma_db_path.exists():
|
|
try:
|
|
import sqlite3
|
|
with sqlite3.connect(str(chroma_db_path)) as conn:
|
|
conn.execute("VACUUM")
|
|
log.debug("Vacuumed ChromaDB database")
|
|
except Exception as e:
|
|
log.error(f"Failed to vacuum ChromaDB database: {e}")
|
|
|
|
log.info("Data pruning completed successfully")
|
|
return True
|
|
|
|
except Exception as e:
|
|
log.exception(f"Error during data pruning: {e}")
|
|
raise HTTPException(
|
|
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
|
|
detail=ERROR_MESSAGES.DEFAULT("Data pruning failed"),
|
|
)
|