""" Database schema and models for KikoTextEncode prompt storage. """ import contextlib import datetime import shutil import sqlite3 import os import threading import weakref from contextlib import closing from pathlib import Path from typing import Set, Tuple # Import logging system try: from ..utils.logging_config import get_logger except ImportError: import sys current_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) sys.path.insert(0, current_dir) from utils.logging_config import get_logger # last_used_at is UTC ISO text so ORDER BY can compare it as text. The backfill # writes milliseconds (SQLite's %f); live writes use microseconds so runs in the # same millisecond still order correctly. Both forms sort correctly together. ISO_TIMESTAMP_FORMAT = "%Y-%m-%dT%H:%M:%f+00:00" def utc_now_iso() -> str: """Current UTC time as ISO text with microseconds. Example: 2026-10-07T18:39:06.758123+00:00 """ return datetime.datetime.now(datetime.timezone.utc).isoformat( timespec="microseconds" ) def normalize_image_path(path: str) -> str: """Canonical form of an image path for generated_images.file_path. Absolute, with '..' and '.' collapsed and the platform's case folding applied, so two spellings of one file (or the same basename in two date folders) compare the way the filesystem would. """ return os.path.normcase(os.path.normpath(os.path.abspath(path))) # How long a connection waits for a locked database before giving up. Thirty # seconds covers a scan or a thumbnail run writing while ComfyUI saves images, # and the slow disks of CI runners. BUSY_TIMEOUT_SECONDS = 30 SQLITE_HEADER = b"SQLite format 3\x00" REQUIRED_PROMPT_COLUMNS = ("id", "text", "created_at") class PromptModel: """Database model for prompt storage and schema management.""" # Paths (normalised, see _schema_key) whose schema has been created and # migrated in this process. Many PromptDatabase instances point at the # same file; only the first one pays for the schema check. _initialized_paths: Set[str] = set() _init_lock = threading.Lock() # Every live model, so a shutdown or a test teardown can close them all # before the database file is deleted (Windows refuses otherwise). _instances: "weakref.WeakSet[PromptModel]" = weakref.WeakSet() _instances_lock = threading.Lock() def __init__(self, db_path: str): """ Initialize the database model. Args: db_path: Absolute path to the SQLite database file """ self.logger = get_logger("prompt_manager.database.models") self.logger.debug(f"Initializing database model with path: {db_path}") self.db_path = db_path # One connection per thread (see get_connection); every open connection # is also tracked here so restore_from_file can close them all. self._local = threading.local() self._connections: Set[sqlite3.Connection] = set() self._conn_lock = threading.Lock() # Bumped by _close_all_connections so threads holding a closed # connection reopen on their next get_connection(). self._generation = 0 with PromptModel._instances_lock: PromptModel._instances.add(self) self._ensure_database_exists() def _ensure_database_exists(self) -> None: """ Create database and tables if they don't exist. Sets up the database schema including tables for prompts and generated images, creates necessary indexes, and applies any pending migrations. Raises: Exception: If database creation fails """ key = self._schema_key() with PromptModel._init_lock: if key in PromptModel._initialized_paths and os.path.exists(self.db_path): return try: conn = sqlite3.connect(self.db_path, timeout=BUSY_TIMEOUT_SECONDS) try: conn.execute("PRAGMA journal_mode = WAL") conn.execute(f"PRAGMA busy_timeout = {BUSY_TIMEOUT_SECONDS * 1000}") conn.execute("PRAGMA foreign_keys = ON") self._create_tables(conn) self._create_indexes(conn) conn.commit() finally: conn.close() except Exception as e: self.logger.error(f"Error creating database: {e}") raise PromptModel._initialized_paths.add(key) def _schema_key(self) -> str: """Normalised identity of db_path for the once-per-process schema cache.""" return os.path.normcase(os.path.realpath(self.db_path)) @classmethod def reset_schema_cache(cls) -> None: """Forget which databases were initialised (tests and restores).""" with cls._init_lock: cls._initialized_paths.clear() @contextlib.contextmanager def _table_rebuild(self, conn: sqlite3.Connection): """Run a copy-and-swap table rebuild with foreign keys disabled. DROP TABLE on a parent table with foreign_keys ON performs an implicit DELETE that cascades into child rows (generated_images, prompt_tags), so the rebuild runs with the pragma off. The pragma is a no-op inside a transaction, hence the commits around it. Errors roll back and propagate after the pragma is restored. """ conn.commit() conn.execute("PRAGMA foreign_keys = OFF") # Explicit BEGIN: in sqlite3's legacy transaction mode DDL autocommits, # so without it a failed copy would leave the *_new table behind. conn.execute("BEGIN") try: yield conn.commit() except BaseException: conn.rollback() raise finally: conn.execute("PRAGMA foreign_keys = ON") def _create_tables(self, conn: sqlite3.Connection) -> None: """ Create the prompts and generated_images tables with all required columns. Args: conn: Active database connection Creates: - prompts table: Stores prompt text and metadata - generated_images table: Links generated images to their source prompts """ conn.execute(""" CREATE TABLE IF NOT EXISTS prompts ( id INTEGER PRIMARY KEY AUTOINCREMENT, text TEXT NOT NULL, created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, category TEXT, tags TEXT, rating INTEGER CHECK(rating >= 1 AND rating <= 5), notes TEXT, hash TEXT UNIQUE, last_used_at TIMESTAMP, run_count INTEGER NOT NULL DEFAULT 0 ) """) # Create images table for gallery functionality conn.execute(""" CREATE TABLE IF NOT EXISTS generated_images ( id INTEGER PRIMARY KEY AUTOINCREMENT, prompt_id INTEGER NOT NULL, image_path TEXT NOT NULL, filename TEXT NOT NULL, generation_time TIMESTAMP DEFAULT CURRENT_TIMESTAMP, file_size INTEGER, width INTEGER, height INTEGER, format TEXT, workflow_data TEXT, prompt_metadata TEXT, parameters TEXT, file_path TEXT, FOREIGN KEY (prompt_id) REFERENCES prompts(id) ON DELETE CASCADE, UNIQUE(prompt_id, file_path) ) """) # Create normalized tag tables (junction table pattern) conn.execute(""" CREATE TABLE IF NOT EXISTS tags ( id INTEGER PRIMARY KEY AUTOINCREMENT, name TEXT NOT NULL UNIQUE ) """) conn.execute(""" CREATE TABLE IF NOT EXISTS prompt_tags ( prompt_id INTEGER NOT NULL, tag_id INTEGER NOT NULL, PRIMARY KEY (prompt_id, tag_id), FOREIGN KEY (prompt_id) REFERENCES prompts(id) ON DELETE CASCADE, FOREIGN KEY (tag_id) REFERENCES tags(id) ON DELETE CASCADE ) """) # Check if we need to migrate from old schema with workflow_name self._migrate_workflow_name_removal(conn) # Fix foreign key data type mismatch self._migrate_foreign_key_types(conn) # Migrate JSON tags to normalized junction tables self._migrate_json_tags_to_junction(conn) # Usage tracking columns (after any migration that rebuilds prompts) self._migrate_add_usage_columns(conn) # Image uniqueness by full path instead of basename (3.2.4) self._migrate_image_uniqueness_by_path(conn) def _create_indexes(self, conn: sqlite3.Connection) -> None: """ Create indexes for better query performance. Args: conn: Active database connection Creates indexes on: - Text content for search operations - Categories and tags for filtering - Timestamps for sorting - Hash values for duplicate detection """ indexes = [ ("idx_prompts_text", "prompts(text)"), ("idx_prompts_category", "prompts(category)"), ("idx_prompts_created_at", "prompts(created_at)"), ("idx_prompts_hash", "prompts(hash)"), ("idx_prompts_rating", "prompts(rating)"), ("idx_prompts_last_used", "prompts(last_used_at)"), ("idx_prompts_run_count", "prompts(run_count)"), ("idx_prompt_images", "generated_images(prompt_id)"), ("idx_image_path", "generated_images(image_path)"), ("idx_image_file_path", "generated_images(file_path)"), ("idx_generation_time", "generated_images(generation_time)"), ("idx_prompt_tags_tag", "prompt_tags(tag_id)"), ("idx_tags_name", "tags(name)"), ] for name, target in indexes: conn.execute(f"CREATE INDEX IF NOT EXISTS {name} ON {target}") def get_connection(self) -> sqlite3.Connection: """ Get the calling thread's database connection. Each thread gets its own ``sqlite3.Connection`` (kept in ``threading.local``), created on first use and reused by that thread thereafter. Every connection is configured with WAL journaling, ``row_factory = sqlite3.Row``, ``PRAGMA foreign_keys = ON`` and ``PRAGMA busy_timeout`` of BUSY_TIMEOUT_SECONDS so concurrent writers wait instead of failing. Callers use it as a context manager (``with conn:``), which commits or rolls back that thread's transaction and leaves the connection open. No lock is held while a connection is in use. Returns: sqlite3.Connection: The current thread's configured connection """ conn = getattr(self._local, "conn", None) if conn is not None and self._local.generation == self._generation: return conn # check_same_thread=False only so restore_from_file can close other # threads' connections; each connection is still used by one thread. conn = sqlite3.connect( self.db_path, check_same_thread=False, timeout=BUSY_TIMEOUT_SECONDS ) conn.row_factory = sqlite3.Row conn.execute("PRAGMA journal_mode = WAL") conn.execute("PRAGMA foreign_keys = ON") conn.execute(f"PRAGMA busy_timeout = {BUSY_TIMEOUT_SECONDS * 1000}") self._local.conn = conn self._local.generation = self._generation with self._conn_lock: self._connections.add(conn) return conn @classmethod def close_all_instances(cls) -> None: """Close every connection of every live model in this process.""" with cls._instances_lock: models = list(cls._instances) for model in models: model.close_all() def close_all(self) -> None: """Close every thread's connection; they reopen lazily on next use. Needed before deleting the database file (Windows keeps open files locked) and by tests that ran queries through executor threads. """ with self._conn_lock: connections = list(self._connections) self._connections.clear() self._generation += 1 self._local.conn = None for conn in connections: try: conn.close() except sqlite3.Error as e: self.logger.warning(f"Error closing database connection: {e}") def close(self) -> None: """Close the calling thread's connection, if it has one. Other threads keep their connections. Call this before deleting or replacing the database file: Windows refuses to delete an open file. """ conn = getattr(self._local, "conn", None) if conn is None: return self._local.conn = None with self._conn_lock: self._connections.discard(conn) try: conn.close() except sqlite3.Error as e: self.logger.warning(f"Error closing database connection: {e}") def _migrate_workflow_name_removal(self, conn: sqlite3.Connection) -> None: """ Remove workflow_name column if it exists in existing database. Args: conn: Active database connection This migration handles legacy schema updates by removing the deprecated workflow_name column while preserving all other data. Raises: sqlite3.Error: If the rebuild fails (logged, nothing half-applied) """ try: cursor = conn.execute("PRAGMA table_info(prompts)") columns = [column[1] for column in cursor.fetchall()] if "workflow_name" not in columns: return self.logger.info("Migrating database: removing workflow_name column") with self._table_rebuild(conn): # A previous attempt may have died between CREATE and RENAME conn.execute("DROP TABLE IF EXISTS prompts_new") conn.execute(""" CREATE TABLE prompts_new ( id INTEGER PRIMARY KEY AUTOINCREMENT, text TEXT NOT NULL, created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, category TEXT, tags TEXT, rating INTEGER CHECK(rating >= 1 AND rating <= 5), notes TEXT, hash TEXT UNIQUE ) """) conn.execute(""" INSERT INTO prompts_new (id, text, created_at, updated_at, category, tags, rating, notes, hash) SELECT id, text, created_at, updated_at, category, tags, rating, notes, hash FROM prompts """) conn.execute("DROP TABLE prompts") conn.execute("ALTER TABLE prompts_new RENAME TO prompts") self.logger.info("Database migration completed") except sqlite3.Error as e: self.logger.error(f"Migration error (workflow_name removal): {e}") raise def _migrate_foreign_key_types(self, conn: sqlite3.Connection) -> None: """ Fix foreign key data type mismatch in generated_images table. Args: conn: Active database connection Converts prompt_id from TEXT to INTEGER type to match the prompts table's primary key type, ensuring referential integrity. Raises: sqlite3.Error: If the rebuild fails (logged, nothing half-applied) """ try: cursor = conn.execute("PRAGMA table_info(generated_images)") columns = {column[1]: column[2] for column in cursor.fetchall()} if columns.get("prompt_id") != "TEXT": return self.logger.info("Migrating foreign key types: prompt_id TEXT -> INTEGER") with self._table_rebuild(conn): conn.execute("DROP TABLE IF EXISTS generated_images_new") conn.execute(""" CREATE TABLE generated_images_new ( id INTEGER PRIMARY KEY AUTOINCREMENT, prompt_id INTEGER NOT NULL, image_path TEXT NOT NULL, filename TEXT NOT NULL, generation_time TIMESTAMP DEFAULT CURRENT_TIMESTAMP, file_size INTEGER, width INTEGER, height INTEGER, format TEXT, workflow_data TEXT, prompt_metadata TEXT, parameters TEXT, FOREIGN KEY (prompt_id) REFERENCES prompts(id) ON DELETE CASCADE ) """) conn.execute(""" INSERT INTO generated_images_new (id, prompt_id, image_path, filename, generation_time, file_size, width, height, format, workflow_data, prompt_metadata, parameters) SELECT id, CAST(prompt_id AS INTEGER), image_path, filename, generation_time, file_size, width, height, format, workflow_data, prompt_metadata, parameters FROM generated_images WHERE prompt_id != '' AND prompt_id IS NOT NULL AND CAST(prompt_id AS INTEGER) IN (SELECT id FROM prompts) """) conn.execute("DROP TABLE generated_images") conn.execute( "ALTER TABLE generated_images_new RENAME TO generated_images" ) self.logger.info("Foreign key migration completed") except sqlite3.Error as e: self.logger.error(f"Migration error (foreign key types): {e}") raise def _migrate_json_tags_to_junction(self, conn: sqlite3.Connection) -> None: """ Populate tags and prompt_tags tables from legacy JSON tags column. Runs once: skips if the tags table already has data. Uses json_each() to extract tag names from the JSON arrays stored in prompts.tags. Raises: sqlite3.Error: If the migration fails (logged) """ try: cursor = conn.execute("SELECT COUNT(*) FROM tags") if cursor.fetchone()[0] > 0: return # Already migrated cursor = conn.execute( "SELECT COUNT(*) FROM prompts " "WHERE tags IS NOT NULL AND tags != '' AND tags != '[]'" ) if cursor.fetchone()[0] == 0: return # No tags to migrate self.logger.info("Migrating JSON tags to normalized junction tables") # Insert all unique tag names conn.execute( "INSERT OR IGNORE INTO tags (name) " "SELECT DISTINCT je.value FROM prompts, json_each(prompts.tags) AS je " "WHERE prompts.tags IS NOT NULL AND prompts.tags != '' AND " "prompts.tags != '[]'" ) # Populate junction table conn.execute( "INSERT OR IGNORE INTO prompt_tags (prompt_id, tag_id) " "SELECT p.id, t.id " "FROM prompts p, json_each(p.tags) AS je " "JOIN tags t ON t.name = je.value " "WHERE p.tags IS NOT NULL AND p.tags != '' AND p.tags != '[]'" ) tag_count = conn.execute("SELECT COUNT(*) FROM tags").fetchone()[0] link_count = conn.execute("SELECT COUNT(*) FROM prompt_tags").fetchone()[0] self.logger.info( f"Tag migration complete: {tag_count} unique tags, {link_count} " "prompt-tag links" ) except sqlite3.Error as e: self.logger.error(f"Migration error (tag junction): {e}") raise def _migrate_add_usage_columns(self, conn: sqlite3.Connection) -> None: """ Add last_used_at and run_count (3.2.4) and estimate usage for existing rows. The backfill runs only when the columns are added, i.e. on the upgrade from a version without usage tracking. Afterwards a NULL last_used_at means "never run": saving a prompt does not stamp it, only record_prompt_use does, and "Recently Used" relies on that. The estimate comes from linked images: run_count is the image count (at least 1) and last_used_at the newest image time, falling back to created_at. Timestamps are compared with julianday() because prompts use ISO 'T' timestamps while generated_images uses SQLite's CURRENT_TIMESTAMP format. """ try: columns = {row[1] for row in conn.execute("PRAGMA table_info(prompts)")} added = False if "last_used_at" not in columns: self.logger.info("Adding prompt usage column last_used_at") conn.execute("ALTER TABLE prompts ADD COLUMN last_used_at TIMESTAMP") added = True if "run_count" not in columns: self.logger.info("Adding prompt usage column run_count") conn.execute( "ALTER TABLE prompts ADD COLUMN run_count INTEGER NOT NULL " "DEFAULT 0" ) added = True if not added: return cursor = conn.execute(f""" UPDATE prompts SET run_count = MAX(run_count, 1, ( SELECT COUNT(*) FROM generated_images gi WHERE gi.prompt_id = prompts.id )), last_used_at = strftime('{ISO_TIMESTAMP_FORMAT}', MAX( COALESCE(julianday(created_at), julianday('now')), COALESCE(( SELECT MAX(julianday(gi.generation_time)) FROM generated_images gi WHERE gi.prompt_id = prompts.id ), 0) )) WHERE last_used_at IS NULL """) if cursor.rowcount: self.logger.info(f"Estimated usage for {cursor.rowcount} prompts") except sqlite3.Error as e: self.logger.error(f"Migration error (usage columns): {e}") raise def _migrate_image_uniqueness_by_path(self, conn: sqlite3.Connection) -> None: """ Rebuild generated_images so an image is unique per (prompt_id, file_path). Older schemas were unique per (prompt_id, filename), i.e. the basename, so ComfyUI's same-named files in different date folders were silently dropped. file_path holds normalize_image_path(image_path); rows whose paths normalise to the same file collapse to the newest one. Raises: sqlite3.Error: If the rebuild fails (logged, nothing half-applied) """ try: columns = { row[1] for row in conn.execute("PRAGMA table_info(generated_images)") } if "file_path" in columns: return self.logger.info("Migrating database: image uniqueness by full path") with self._table_rebuild(conn): rows = conn.execute( "SELECT id, prompt_id, image_path FROM generated_images ORDER BY id" ).fetchall() keep = {} for row_id, prompt_id, image_path in rows: keep[(prompt_id, normalize_image_path(image_path))] = row_id conn.execute("DROP TABLE IF EXISTS generated_images_new") conn.execute(""" CREATE TABLE generated_images_new ( id INTEGER PRIMARY KEY AUTOINCREMENT, prompt_id INTEGER NOT NULL, image_path TEXT NOT NULL, filename TEXT NOT NULL, generation_time TIMESTAMP DEFAULT CURRENT_TIMESTAMP, file_size INTEGER, width INTEGER, height INTEGER, format TEXT, workflow_data TEXT, prompt_metadata TEXT, parameters TEXT, file_path TEXT, FOREIGN KEY (prompt_id) REFERENCES prompts(id) ON DELETE CASCADE, UNIQUE(prompt_id, file_path) ) """) conn.executemany( """ INSERT INTO generated_images_new (id, prompt_id, image_path, filename, generation_time, file_size, width, height, format, workflow_data, prompt_metadata, parameters, file_path) SELECT id, prompt_id, image_path, filename, generation_time, file_size, width, height, format, workflow_data, prompt_metadata, parameters, ? FROM generated_images WHERE id = ? """, [(file_path, row_id) for (_, file_path), row_id in keep.items()], ) conn.execute("DROP TABLE generated_images") conn.execute( "ALTER TABLE generated_images_new RENAME TO generated_images" ) dropped = len(rows) - len(keep) if dropped: self.logger.info(f"Collapsed {dropped} duplicate image rows") self.logger.info("Image path uniqueness migration completed") except sqlite3.Error as e: self.logger.error(f"Migration error (image path uniqueness): {e}") raise def vacuum_database(self) -> None: """ Optimize database by running VACUUM command. Reclaims unused space and defragments the database file, improving query performance and reducing file size. """ try: with closing(sqlite3.connect(self.db_path)) as conn: conn.execute("VACUUM") conn.commit() except Exception as e: self.logger.error(f"Error vacuuming database: {e}") def get_database_info(self) -> dict: """ Get information about the database. Returns: dict: Database statistics and information """ try: with self.get_connection() as conn: cursor = conn.execute("SELECT COUNT(*) as total_prompts FROM prompts") total_prompts = cursor.fetchone()["total_prompts"] cursor = conn.execute( "SELECT COUNT(DISTINCT category) as unique_categories FROM " "prompts WHERE category IS NOT NULL" ) unique_categories = cursor.fetchone()["unique_categories"] cursor = conn.execute( "SELECT AVG(rating) as avg_rating FROM prompts WHERE rating IS " "NOT NULL" ) avg_rating = cursor.fetchone()["avg_rating"] # Get database file size db_size = ( os.path.getsize(self.db_path) if os.path.exists(self.db_path) else 0 ) return { "total_prompts": total_prompts, "unique_categories": unique_categories, "average_rating": round(avg_rating, 2) if avg_rating else None, "database_size_bytes": db_size, "database_path": os.path.abspath(self.db_path), } except Exception as e: self.logger.error(f"Error getting database info: {e}") return {} def backup_database(self, backup_path: str) -> bool: """ Write a consistent copy of the database to backup_path. Uses the SQLite online backup API through this thread's connection, so rows that are committed but still sit in the -wal file are included and other threads may keep reading and writing meanwhile. Args: backup_path: Path where the backup should be saved (overwritten) Returns: bool: True if backup was successful, False otherwise """ try: if os.path.exists(backup_path) and os.path.samefile( backup_path, self.db_path ): self.logger.error("Refusing to back up the database onto itself") return False if os.path.exists(backup_path): os.remove(backup_path) source = self.get_connection() destination = sqlite3.connect(backup_path) try: source.backup(destination) finally: destination.close() return True except (OSError, sqlite3.Error) as e: self.logger.error(f"Error creating database backup: {e}") return False @staticmethod def verify_database_file(path: str) -> Tuple[bool, str]: """ Check that a file is a healthy prompts database before restoring it. Opens the file read-only, runs PRAGMA integrity_check and confirms the prompts table has the columns every version of this extension needs. Args: path: File to inspect Returns: (ok, reason): reason is "ok" when the file is acceptable, otherwise a human-readable explanation. Never raises for bad input. """ if not os.path.isfile(path): return False, "File not found" try: with open(path, "rb") as fh: header = fh.read(len(SQLITE_HEADER)) except OSError as e: return False, f"Cannot read file: {e}" if header != SQLITE_HEADER: return False, "Not a SQLite database file" uri = Path(os.path.abspath(path)).as_uri() + "?mode=ro" try: conn = sqlite3.connect(uri, uri=True) except sqlite3.Error as e: return False, f"Invalid SQLite database: {e}" try: row = conn.execute("PRAGMA integrity_check").fetchone() verdict = row[0] if row else "no result" if verdict != "ok": return False, f"Integrity check failed: {verdict}" table = conn.execute( "SELECT name FROM sqlite_master WHERE type='table' AND name='prompts'" ).fetchone() if not table: return False, "Database does not contain a 'prompts' table" columns = {r[1] for r in conn.execute("PRAGMA table_info(prompts)")} missing = [c for c in REQUIRED_PROMPT_COLUMNS if c not in columns] if missing: return ( False, "prompts table is missing required columns: " + ", ".join(missing), ) return True, "ok" except sqlite3.Error as e: return False, f"Invalid SQLite database: {e}" finally: conn.close() def _replace_contents_from(self, src_path: str) -> None: """Copy every page of *src_path* into the live database. Goes through SQLite's online backup API into this thread's normal connection, so SQLite takes the locks itself and the other PromptModel instances that share the file (nodes, image monitor, queue hook, API) simply see the new pages on their next statement. Nothing is swapped underneath open handles and no -wal/-shm file has to be deleted, which also keeps Windows happy. When SQLite refuses (page sizes differ while the target is in WAL mode) fall back to a file copy with every connection of this instance closed first. """ source = sqlite3.connect( Path(src_path).resolve().as_uri() + "?mode=ro", uri=True ) try: try: source.backup(self.get_connection()) return except sqlite3.OperationalError as e: self.logger.warning( f"Online restore failed ({e}); falling back to a file copy" ) finally: source.close() self.close_all() shutil.copy2(src_path, self.db_path) for suffix in ("-wal", "-shm"): stale = self.db_path + suffix if os.path.exists(stale): os.remove(stale) def restore_from_file(self, src_path: str) -> str: """ Replace the live database with the file at src_path. The current database is first backed up next to itself as ``.backup_`` (WAL content included), the pages of ``src_path`` are copied into the live database through SQLite's backup API (visible to every open connection) and the schema migrations run on the restored content. Callers should run verify_database_file(src_path) first. Args: src_path: SQLite file to restore Returns: Path of the backup taken of the previous database, or "" when there was no database to back up. Raises: RuntimeError: If the previous database could not be backed up OSError: If the restored file could not be copied into place """ backup_path = "" if os.path.exists(self.db_path): timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S") backup_path = f"{self.db_path}.backup_{timestamp}" if not self.backup_database(backup_path): raise RuntimeError("Could not back up the current database") self.logger.info(f"Current database backed up to: {backup_path}") self._replace_contents_from(src_path) with PromptModel._init_lock: PromptModel._initialized_paths.discard(self._schema_key()) self._ensure_database_exists() self.logger.info(f"Database restored from {src_path}") return backup_path