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Update prune.py

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Classic298 2025-08-12 13:20:16 +02:00 committed by GitHub
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1 changed files with 12 additions and 124 deletions
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backend/open_webui/routers/prune.py
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@ -38,7 +38,6 @@ class PruneDataForm(BaseModel):
days: Optional[int] = None days: Optional[int] = None
exempt_archived_chats: bool = False exempt_archived_chats: bool = False
exempt_chats_in_folders: bool = False exempt_chats_in_folders: bool = False
# Orphaned resource deletion toggles (for deleted users)
delete_orphaned_chats: bool = True delete_orphaned_chats: bool = True
delete_orphaned_tools: bool = False delete_orphaned_tools: bool = False
delete_orphaned_functions: bool = False delete_orphaned_functions: bool = False
@ -47,19 +46,17 @@ class PruneDataForm(BaseModel):
delete_orphaned_models: bool = True delete_orphaned_models: bool = True
delete_orphaned_notes: bool = True delete_orphaned_notes: bool = True
delete_orphaned_folders: bool = True delete_orphaned_folders: bool = True
# Audio cache cleanup
audio_cache_max_age_days: Optional[int] = 30 audio_cache_max_age_days: Optional[int] = 30
def get_active_file_ids() -> Set[str]: def get_active_file_ids() -> Set[str]:
""" """
Get all file IDs that are actively referenced by knowledge bases, chats, folders, and messages. Get all file IDs that are actively referenced by knowledge bases, chats, folders, and messages.
This is the ground truth for what files should be preserved.
""" """
active_file_ids = set() active_file_ids = set()
try: try:
# 1. Get files referenced by knowledge bases (original logic) # Scan knowledge bases for file references
knowledge_bases = Knowledges.get_knowledge_bases() knowledge_bases = Knowledges.get_knowledge_bases()
log.debug(f"Found {len(knowledge_bases)} knowledge bases") log.debug(f"Found {len(knowledge_bases)} knowledge bases")
@ -67,15 +64,12 @@ def get_active_file_ids() -> Set[str]:
if not kb.data: if not kb.data:
continue continue
# Handle different possible data structures for file references
file_ids = [] file_ids = []
# Check for file_ids array
if isinstance(kb.data, dict) and "file_ids" in kb.data: if isinstance(kb.data, dict) and "file_ids" in kb.data:
if isinstance(kb.data["file_ids"], list): if isinstance(kb.data["file_ids"], list):
file_ids.extend(kb.data["file_ids"]) file_ids.extend(kb.data["file_ids"])
# Check for files array with id field
if isinstance(kb.data, dict) and "files" in kb.data: if isinstance(kb.data, dict) and "files" in kb.data:
if isinstance(kb.data["files"], list): if isinstance(kb.data["files"], list):
for file_ref in kb.data["files"]: for file_ref in kb.data["files"]:
@ -84,13 +78,11 @@ def get_active_file_ids() -> Set[str]:
elif isinstance(file_ref, str): elif isinstance(file_ref, str):
file_ids.append(file_ref) file_ids.append(file_ref)
# Add all found file IDs
for file_id in file_ids: for file_id in file_ids:
if isinstance(file_id, str) and file_id.strip(): if isinstance(file_id, str) and file_id.strip():
active_file_ids.add(file_id.strip()) active_file_ids.add(file_id.strip())
log.debug(f"KB {kb.id} references file {file_id}")
# 2. Get files referenced in chats (NEW: scan chat JSON for file references) # Scan chats for file references
chats = Chats.get_chats() chats = Chats.get_chats()
log.debug(f"Found {len(chats)} chats to scan for file references") log.debug(f"Found {len(chats)} chats to scan for file references")
@ -99,40 +91,31 @@ def get_active_file_ids() -> Set[str]:
continue continue
try: try:
# Convert entire chat JSON to string and extract all file IDs
chat_json_str = json.dumps(chat.chat) chat_json_str = json.dumps(chat.chat)
# Find all file ID patterns in the JSON # Extract file IDs using regex patterns
# Pattern 1: "id": "uuid" where uuid looks like a file ID
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})"') 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})"')
potential_file_ids = file_id_pattern.findall(chat_json_str)
# Pattern 2: URLs containing /api/v1/files/uuid
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})') 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})')
potential_file_ids = file_id_pattern.findall(chat_json_str)
url_file_ids = url_pattern.findall(chat_json_str) url_file_ids = url_pattern.findall(chat_json_str)
# Combine and validate against actual file records
all_potential_ids = set(potential_file_ids + url_file_ids) all_potential_ids = set(potential_file_ids + url_file_ids)
for file_id in all_potential_ids: for file_id in all_potential_ids:
# Verify this ID exists in the file table to avoid false positives
if Files.get_file_by_id(file_id): if Files.get_file_by_id(file_id):
active_file_ids.add(file_id) active_file_ids.add(file_id)
log.debug(f"Chat {chat.id}: Found active file {file_id}")
except Exception as e: except Exception as e:
log.debug(f"Error processing chat {chat.id} for file references: {e}") log.debug(f"Error processing chat {chat.id} for file references: {e}")
# 3. Get files referenced in folders (scan folder.items, folder.data, folder.meta) # Scan folders for file references
try: try:
folders = Folders.get_all_folders() folders = Folders.get_all_folders()
log.debug(f"Found {len(folders)} folders to scan for file references")
for folder in folders: for folder in folders:
# Check folder.items JSON
if folder.items: if folder.items:
try: try:
items_str = json.dumps(folder.items) items_str = json.dumps(folder.items)
# Look for file ID patterns in the JSON
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})"') 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})"')
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})') 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})')
@ -140,11 +123,9 @@ def get_active_file_ids() -> Set[str]:
for file_id in potential_ids: for file_id in potential_ids:
if Files.get_file_by_id(file_id): if Files.get_file_by_id(file_id):
active_file_ids.add(file_id) active_file_ids.add(file_id)
log.debug(f"Folder {folder.id}: Found file {file_id} in items")
except Exception as e: except Exception as e:
log.debug(f"Error processing folder {folder.id} items: {e}") log.debug(f"Error processing folder {folder.id} items: {e}")
# Check folder.data JSON
if hasattr(folder, 'data') and folder.data: if hasattr(folder, 'data') and folder.data:
try: try:
data_str = json.dumps(folder.data) data_str = json.dumps(folder.data)
@ -155,24 +136,20 @@ def get_active_file_ids() -> Set[str]:
for file_id in potential_ids: for file_id in potential_ids:
if Files.get_file_by_id(file_id): if Files.get_file_by_id(file_id):
active_file_ids.add(file_id) active_file_ids.add(file_id)
log.debug(f"Folder {folder.id}: Found file {file_id} in data")
except Exception as e: except Exception as e:
log.debug(f"Error processing folder {folder.id} data: {e}") log.debug(f"Error processing folder {folder.id} data: {e}")
except Exception as e: except Exception as e:
log.debug(f"Error scanning folders for file references: {e}") log.debug(f"Error scanning folders for file references: {e}")
# 4. Get files referenced in standalone messages (message table) # Scan standalone messages for file references
try: try:
# Query message table directly since we may not have a Messages model
with get_db() as db: with get_db() as db:
message_results = db.execute(text("SELECT id, data FROM message WHERE data IS NOT NULL")).fetchall() message_results = db.execute(text("SELECT id, data FROM message WHERE data IS NOT NULL")).fetchall()
log.debug(f"Found {len(message_results)} messages with data to scan")
for message_id, message_data_json in message_results: for message_id, message_data_json in message_results:
if message_data_json: if message_data_json:
try: try:
# Convert JSON to string and scan for file patterns
data_str = json.dumps(message_data_json) if isinstance(message_data_json, dict) else str(message_data_json) data_str = json.dumps(message_data_json) if isinstance(message_data_json, dict) else str(message_data_json)
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})"') 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})"')
@ -182,7 +159,6 @@ def get_active_file_ids() -> Set[str]:
for file_id in potential_ids: for file_id in potential_ids:
if Files.get_file_by_id(file_id): if Files.get_file_by_id(file_id):
active_file_ids.add(file_id) active_file_ids.add(file_id)
log.debug(f"Message {message_id}: Found file {file_id}")
except Exception as e: except Exception as e:
log.debug(f"Error processing message {message_id} data: {e}") log.debug(f"Error processing message {message_id} data: {e}")
except Exception as e: except Exception as e:
@ -190,7 +166,6 @@ def get_active_file_ids() -> Set[str]:
except Exception as e: except Exception as e:
log.error(f"Error determining active file IDs: {e}") log.error(f"Error determining active file IDs: {e}")
# Fail safe: return empty set, which will prevent deletion
return set() return set()
log.info(f"Found {len(active_file_ids)} active file IDs") log.info(f"Found {len(active_file_ids)} active file IDs")
@ -202,19 +177,15 @@ def safe_delete_vector_collection(collection_name: str) -> bool:
Safely delete a vector collection, handling both logical and physical cleanup. Safely delete a vector collection, handling both logical and physical cleanup.
""" """
try: try:
# First, try to delete the collection through the client
try: try:
VECTOR_DB_CLIENT.delete_collection(collection_name=collection_name) VECTOR_DB_CLIENT.delete_collection(collection_name=collection_name)
log.debug(f"Deleted collection from vector DB: {collection_name}")
except Exception as e: except Exception as e:
log.debug(f"Collection {collection_name} may not exist in DB: {e}") log.debug(f"Collection {collection_name} may not exist in DB: {e}")
# Then, handle physical cleanup for ChromaDB
if "chroma" in VECTOR_DB.lower(): if "chroma" in VECTOR_DB.lower():
vector_dir = Path(CACHE_DIR).parent / "vector_db" / collection_name vector_dir = Path(CACHE_DIR).parent / "vector_db" / collection_name
if vector_dir.exists() and vector_dir.is_dir(): if vector_dir.exists() and vector_dir.is_dir():
shutil.rmtree(vector_dir) shutil.rmtree(vector_dir)
log.debug(f"Deleted physical vector directory: {vector_dir}")
return True return True
return True return True
@ -229,19 +200,14 @@ def safe_delete_file_by_id(file_id: str) -> bool:
Safely delete a file record and its associated vector collection. Safely delete a file record and its associated vector collection.
""" """
try: try:
# Get file info before deletion
file_record = Files.get_file_by_id(file_id) file_record = Files.get_file_by_id(file_id)
if not file_record: if not file_record:
log.debug(f"File {file_id} not found in database") return True
return True # Already gone
# Delete vector collection first
collection_name = f"file-{file_id}" collection_name = f"file-{file_id}"
safe_delete_vector_collection(collection_name) safe_delete_vector_collection(collection_name)
# Delete database record
Files.delete_file_by_id(file_id) Files.delete_file_by_id(file_id)
log.debug(f"Deleted file record: {file_id}")
return True return True
@ -256,7 +222,6 @@ def cleanup_orphaned_uploads(active_file_ids: Set[str]) -> None:
""" """
upload_dir = Path(CACHE_DIR).parent / "uploads" upload_dir = Path(CACHE_DIR).parent / "uploads"
if not upload_dir.exists(): if not upload_dir.exists():
log.debug("Uploads directory does not exist")
return return
deleted_count = 0 deleted_count = 0
@ -267,33 +232,27 @@ def cleanup_orphaned_uploads(active_file_ids: Set[str]) -> None:
continue continue
filename = file_path.name filename = file_path.name
# Extract file ID from filename (common patterns)
file_id = None file_id = None
# Pattern 1: UUID_filename or UUID-filename # Extract file ID from filename patterns
if len(filename) > 36: if len(filename) > 36:
potential_id = filename[:36] potential_id = filename[:36]
if potential_id.count('-') == 4: # UUID format if potential_id.count('-') == 4:
file_id = potential_id file_id = potential_id
# Pattern 2: filename might be the file ID itself
if not file_id and filename.count('-') == 4 and len(filename) == 36: if not file_id and filename.count('-') == 4 and len(filename) == 36:
file_id = filename file_id = filename
# Pattern 3: Check if any part of filename matches active IDs
if not file_id: if not file_id:
for active_id in active_file_ids: for active_id in active_file_ids:
if active_id in filename: if active_id in filename:
file_id = active_id file_id = active_id
break break
# If we found a potential file ID and it's not active, delete it
if file_id and file_id not in active_file_ids: if file_id and file_id not in active_file_ids:
try: try:
file_path.unlink() file_path.unlink()
deleted_count += 1 deleted_count += 1
log.debug(f"Deleted orphaned upload file: {filename}")
except Exception as e: except Exception as e:
log.error(f"Failed to delete upload file {filename}: {e}") log.error(f"Failed to delete upload file {filename}: {e}")
@ -313,73 +272,46 @@ def cleanup_orphaned_vector_collections(active_file_ids: Set[str], active_kb_ids
vector_dir = Path(CACHE_DIR).parent / "vector_db" vector_dir = Path(CACHE_DIR).parent / "vector_db"
if not vector_dir.exists(): if not vector_dir.exists():
log.debug("Vector DB directory does not exist")
return return
chroma_db_path = vector_dir / "chroma.sqlite3" chroma_db_path = vector_dir / "chroma.sqlite3"
if not chroma_db_path.exists(): if not chroma_db_path.exists():
log.debug("ChromaDB metadata file does not exist")
return return
# Build expected collection names
expected_collections = set() expected_collections = set()
# File collections: file-{file_id}
for file_id in active_file_ids: for file_id in active_file_ids:
expected_collections.add(f"file-{file_id}") expected_collections.add(f"file-{file_id}")
# Knowledge base collections: {kb_id}
for kb_id in active_kb_ids: for kb_id in active_kb_ids:
expected_collections.add(kb_id) expected_collections.add(kb_id)
log.debug(f"Expected collections to preserve: {expected_collections}")
# Query ChromaDB metadata to get the complete mapping chain:
# Directory UUID -> Collection ID -> Collection Name
uuid_to_collection = {} uuid_to_collection = {}
try: try:
import sqlite3 import sqlite3
log.debug(f"Attempting to connect to ChromaDB at: {chroma_db_path}")
with sqlite3.connect(str(chroma_db_path)) as conn: with sqlite3.connect(str(chroma_db_path)) as conn:
# First, check what tables exist
tables = conn.execute("SELECT name FROM sqlite_master WHERE type='table'").fetchall()
log.debug(f"ChromaDB tables: {tables}")
# Check the schema of collections table
schema = conn.execute("PRAGMA table_info(collections)").fetchall()
log.debug(f"Collections table schema: {schema}")
# Get Collection ID -> Collection Name mapping
collection_id_to_name = {} collection_id_to_name = {}
cursor = conn.execute("SELECT id, name FROM collections") cursor = conn.execute("SELECT id, name FROM collections")
rows = cursor.fetchall() rows = cursor.fetchall()
log.debug(f"Raw ChromaDB collections query results: {rows}")
for row in rows: for row in rows:
collection_id, collection_name = row collection_id, collection_name = row
collection_id_to_name[collection_id] = collection_name collection_id_to_name[collection_id] = collection_name
log.debug(f"Mapped collection ID {collection_id} -> name {collection_name}")
# Get Directory UUID -> Collection ID mapping from segments table
# Only interested in VECTOR segments as those are the actual data directories
cursor = conn.execute("SELECT id, collection FROM segments WHERE scope = 'VECTOR'") cursor = conn.execute("SELECT id, collection FROM segments WHERE scope = 'VECTOR'")
segment_rows = cursor.fetchall() segment_rows = cursor.fetchall()
log.debug(f"Raw ChromaDB segments query results: {segment_rows}")
for row in segment_rows: for row in segment_rows:
segment_id, collection_id = row segment_id, collection_id = row
if collection_id in collection_id_to_name: if collection_id in collection_id_to_name:
collection_name = collection_id_to_name[collection_id] collection_name = collection_id_to_name[collection_id]
uuid_to_collection[segment_id] = collection_name uuid_to_collection[segment_id] = collection_name
log.debug(f"Mapped directory UUID {segment_id} -> collection {collection_name}")
log.debug(f"Final uuid_to_collection mapping: {uuid_to_collection}")
log.info(f"Found {len(uuid_to_collection)} vector segments in ChromaDB metadata") log.info(f"Found {len(uuid_to_collection)} vector segments in ChromaDB metadata")
except Exception as e: except Exception as e:
log.error(f"Error reading ChromaDB metadata: {e}") log.error(f"Error reading ChromaDB metadata: {e}")
# Fail safe: don't delete anything if we can't read metadata
return return
deleted_count = 0 deleted_count = 0
@ -391,16 +323,12 @@ def cleanup_orphaned_vector_collections(active_file_ids: Set[str], active_kb_ids
dir_uuid = collection_dir.name dir_uuid = collection_dir.name
# Skip system/metadata files
if dir_uuid.startswith('.'): if dir_uuid.startswith('.'):
continue continue
# Get the actual collection name from metadata
collection_name = uuid_to_collection.get(dir_uuid) collection_name = uuid_to_collection.get(dir_uuid)
if collection_name is None: if collection_name is None:
# Directory exists but no metadata entry - it's orphaned
log.debug(f"Directory {dir_uuid} has no metadata entry, deleting")
try: try:
shutil.rmtree(collection_dir) shutil.rmtree(collection_dir)
deleted_count += 1 deleted_count += 1
@ -408,18 +336,12 @@ def cleanup_orphaned_vector_collections(active_file_ids: Set[str], active_kb_ids
log.error(f"Failed to delete orphaned directory {dir_uuid}: {e}") log.error(f"Failed to delete orphaned directory {dir_uuid}: {e}")
elif collection_name not in expected_collections: elif collection_name not in expected_collections:
# Collection exists but should be deleted
log.debug(f"Collection {collection_name} (UUID: {dir_uuid}) is orphaned, deleting")
try: try:
shutil.rmtree(collection_dir) shutil.rmtree(collection_dir)
deleted_count += 1 deleted_count += 1
except Exception as e: except Exception as e:
log.error(f"Failed to delete collection directory {dir_uuid}: {e}") log.error(f"Failed to delete collection directory {dir_uuid}: {e}")
else:
# Collection should be preserved
log.debug(f"Preserving collection {collection_name} (UUID: {dir_uuid})")
except Exception as e: except Exception as e:
log.error(f"Error cleaning vector collections: {e}") log.error(f"Error cleaning vector collections: {e}")
@ -430,9 +352,6 @@ def cleanup_orphaned_vector_collections(active_file_ids: Set[str], active_kb_ids
def cleanup_audio_cache(max_age_days: Optional[int] = 30) -> None: def cleanup_audio_cache(max_age_days: Optional[int] = 30) -> None:
""" """
Clean up audio cache files older than specified days. Clean up audio cache files older than specified days.
Args:
max_age_days: Delete audio files older than this many days. If None, skip audio cleanup.
""" """
if max_age_days is None: if max_age_days is None:
log.info("Skipping audio cache cleanup (max_age_days is None)") log.info("Skipping audio cache cleanup (max_age_days is None)")
@ -442,7 +361,6 @@ def cleanup_audio_cache(max_age_days: Optional[int] = 30) -> None:
deleted_count = 0 deleted_count = 0
total_size_deleted = 0 total_size_deleted = 0
# Audio cache directories
audio_dirs = [ audio_dirs = [
Path(CACHE_DIR) / "audio" / "speech", Path(CACHE_DIR) / "audio" / "speech",
Path(CACHE_DIR) / "audio" / "transcriptions" Path(CACHE_DIR) / "audio" / "transcriptions"
@ -450,7 +368,6 @@ def cleanup_audio_cache(max_age_days: Optional[int] = 30) -> None:
for audio_dir in audio_dirs: for audio_dir in audio_dirs:
if not audio_dir.exists(): if not audio_dir.exists():
log.debug(f"Audio directory does not exist: {audio_dir}")
continue continue
try: try:
@ -458,7 +375,6 @@ def cleanup_audio_cache(max_age_days: Optional[int] = 30) -> None:
if not file_path.is_file(): if not file_path.is_file():
continue continue
# Check file age
file_mtime = file_path.stat().st_mtime file_mtime = file_path.stat().st_mtime
if file_mtime < cutoff_time: if file_mtime < cutoff_time:
try: try:
@ -466,7 +382,6 @@ def cleanup_audio_cache(max_age_days: Optional[int] = 30) -> None:
file_path.unlink() file_path.unlink()
deleted_count += 1 deleted_count += 1
total_size_deleted += file_size total_size_deleted += file_size
log.debug(f"Deleted old audio file: {file_path}")
except Exception as e: except Exception as e:
log.error(f"Failed to delete audio file {file_path}: {e}") log.error(f"Failed to delete audio file {file_path}: {e}")
@ -516,23 +431,17 @@ async def prune_data(form_data: PruneDataForm, user=Depends(get_admin_user)):
try: try:
log.info("Starting data pruning process") log.info("Starting data pruning process")
# Stage 1: Delete old chats based on user criteria (optional) # Stage 1: Delete old chats based on user criteria
if form_data.days is not None: if form_data.days is not None:
cutoff_time = int(time.time()) - (form_data.days * 86400) cutoff_time = int(time.time()) - (form_data.days * 86400)
chats_to_delete = [] chats_to_delete = []
for chat in Chats.get_chats(): for chat in Chats.get_chats():
if chat.updated_at < cutoff_time: if chat.updated_at < cutoff_time:
# Check exemption conditions
if form_data.exempt_archived_chats and chat.archived: if form_data.exempt_archived_chats and chat.archived:
log.debug(f"Exempting archived chat: {chat.id}")
continue continue
if form_data.exempt_chats_in_folders and (getattr(chat, 'folder_id', None) is not None or getattr(chat, 'pinned', False)): 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 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) chats_to_delete.append(chat)
if chats_to_delete: if chats_to_delete:
@ -544,14 +453,12 @@ async def prune_data(form_data: PruneDataForm, user=Depends(get_admin_user)):
else: else:
log.info("Skipping chat deletion (days parameter is None)") log.info("Skipping chat deletion (days parameter is None)")
# Stage 2: Build ground truth of what should be preserved # Stage 2: Build preservation set
log.info("Building preservation set") log.info("Building preservation set")
# Get all active users
active_user_ids = {user.id for user in Users.get_users()["users"]} active_user_ids = {user.id for user in Users.get_users()["users"]}
log.info(f"Found {len(active_user_ids)} active users") log.info(f"Found {len(active_user_ids)} active users")
# Get all active knowledge bases and their file references
active_kb_ids = set() active_kb_ids = set()
knowledge_bases = Knowledges.get_knowledge_bases() knowledge_bases = Knowledges.get_knowledge_bases()
@ -561,13 +468,11 @@ async def prune_data(form_data: PruneDataForm, user=Depends(get_admin_user)):
log.info(f"Found {len(active_kb_ids)} active knowledge bases") 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() active_file_ids = get_active_file_ids()
# Stage 3: Delete orphaned database records # Stage 3: Delete orphaned database records
log.info("Deleting 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 deleted_files = 0
for file_record in Files.get_files(): for file_record in Files.get_files():
should_delete = ( should_delete = (
@ -582,7 +487,6 @@ async def prune_data(form_data: PruneDataForm, user=Depends(get_admin_user)):
if deleted_files > 0: if deleted_files > 0:
log.info(f"Deleted {deleted_files} orphaned files") log.info(f"Deleted {deleted_files} orphaned files")
# Delete knowledge bases from deleted users (if enabled)
deleted_kbs = 0 deleted_kbs = 0
if form_data.delete_orphaned_knowledge_bases: if form_data.delete_orphaned_knowledge_bases:
for kb in knowledge_bases: for kb in knowledge_bases:
@ -596,10 +500,8 @@ async def prune_data(form_data: PruneDataForm, user=Depends(get_admin_user)):
else: else:
log.info("Skipping knowledge base deletion (disabled)") log.info("Skipping knowledge base deletion (disabled)")
# Delete other user-owned resources from deleted users (conditional)
deleted_others = 0 deleted_others = 0
# Delete orphaned chats of deleted users (conditional)
if form_data.delete_orphaned_chats: if form_data.delete_orphaned_chats:
chats_deleted = 0 chats_deleted = 0
for chat in Chats.get_chats(): for chat in Chats.get_chats():
@ -612,7 +514,6 @@ async def prune_data(form_data: PruneDataForm, user=Depends(get_admin_user)):
else: else:
log.info("Skipping orphaned chat deletion (disabled)") log.info("Skipping orphaned chat deletion (disabled)")
# Delete orphaned tools of deleted users (conditional)
if form_data.delete_orphaned_tools: if form_data.delete_orphaned_tools:
tools_deleted = 0 tools_deleted = 0
for tool in Tools.get_tools(): for tool in Tools.get_tools():
@ -625,7 +526,6 @@ async def prune_data(form_data: PruneDataForm, user=Depends(get_admin_user)):
else: else:
log.info("Skipping tool deletion (disabled)") log.info("Skipping tool deletion (disabled)")
# Delete orphaned functions of deleted users (conditional)
if form_data.delete_orphaned_functions: if form_data.delete_orphaned_functions:
functions_deleted = 0 functions_deleted = 0
for function in Functions.get_functions(): for function in Functions.get_functions():
@ -638,7 +538,6 @@ async def prune_data(form_data: PruneDataForm, user=Depends(get_admin_user)):
else: else:
log.info("Skipping function deletion (disabled)") log.info("Skipping function deletion (disabled)")
# Delete orphaned notes of deleted users (conditional)
if form_data.delete_orphaned_notes: if form_data.delete_orphaned_notes:
notes_deleted = 0 notes_deleted = 0
for note in Notes.get_notes(): for note in Notes.get_notes():
@ -651,7 +550,6 @@ async def prune_data(form_data: PruneDataForm, user=Depends(get_admin_user)):
else: else:
log.info("Skipping note deletion (disabled)") log.info("Skipping note deletion (disabled)")
# Delete orphaned prompts of deleted users (conditional)
if form_data.delete_orphaned_prompts: if form_data.delete_orphaned_prompts:
prompts_deleted = 0 prompts_deleted = 0
for prompt in Prompts.get_prompts(): for prompt in Prompts.get_prompts():
@ -664,7 +562,6 @@ async def prune_data(form_data: PruneDataForm, user=Depends(get_admin_user)):
else: else:
log.info("Skipping prompt deletion (disabled)") log.info("Skipping prompt deletion (disabled)")
# Delete orphaned models of deleted users (conditional)
if form_data.delete_orphaned_models: if form_data.delete_orphaned_models:
models_deleted = 0 models_deleted = 0
for model in Models.get_all_models(): for model in Models.get_all_models():
@ -677,7 +574,6 @@ async def prune_data(form_data: PruneDataForm, user=Depends(get_admin_user)):
else: else:
log.info("Skipping model deletion (disabled)") log.info("Skipping model deletion (disabled)")
# Delete orphaned folders of deleted users (conditional)
if form_data.delete_orphaned_folders: if form_data.delete_orphaned_folders:
folders_deleted = 0 folders_deleted = 0
for folder in Folders.get_all_folders(): for folder in Folders.get_all_folders():
@ -696,14 +592,10 @@ async def prune_data(form_data: PruneDataForm, user=Depends(get_admin_user)):
# Stage 4: Clean up orphaned physical files # Stage 4: Clean up orphaned physical files
log.info("Cleaning 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_file_ids = get_active_file_ids()
final_active_kb_ids = {kb.id for kb in Knowledges.get_knowledge_bases()} final_active_kb_ids = {kb.id for kb in Knowledges.get_knowledge_bases()}
# Clean uploads directory
cleanup_orphaned_uploads(final_active_file_ids) cleanup_orphaned_uploads(final_active_file_ids)
# Clean vector collections
cleanup_orphaned_vector_collections(final_active_file_ids, final_active_kb_ids) cleanup_orphaned_vector_collections(final_active_file_ids, final_active_kb_ids)
# Stage 5: Audio cache cleanup # Stage 5: Audio cache cleanup
@ -713,15 +605,12 @@ async def prune_data(form_data: PruneDataForm, user=Depends(get_admin_user)):
# Stage 6: Database optimization # Stage 6: Database optimization
log.info("Optimizing database") log.info("Optimizing database")
# Vacuum main database
try: try:
with get_db() as db: with get_db() as db:
db.execute(text("VACUUM")) db.execute(text("VACUUM"))
log.debug("Vacuumed main database")
except Exception as e: except Exception as e:
log.error(f"Failed to vacuum main database: {e}") log.error(f"Failed to vacuum main database: {e}")
# Vacuum ChromaDB database if it exists
if "chroma" in VECTOR_DB.lower(): if "chroma" in VECTOR_DB.lower():
chroma_db_path = Path(CACHE_DIR).parent / "vector_db" / "chroma.sqlite3" chroma_db_path = Path(CACHE_DIR).parent / "vector_db" / "chroma.sqlite3"
if chroma_db_path.exists(): if chroma_db_path.exists():
@ -729,7 +618,6 @@ async def prune_data(form_data: PruneDataForm, user=Depends(get_admin_user)):
import sqlite3 import sqlite3
with sqlite3.connect(str(chroma_db_path)) as conn: with sqlite3.connect(str(chroma_db_path)) as conn:
conn.execute("VACUUM") conn.execute("VACUUM")
log.debug("Vacuumed ChromaDB database")
except Exception as e: except Exception as e:
log.error(f"Failed to vacuum ChromaDB database: {e}") log.error(f"Failed to vacuum ChromaDB database: {e}")