refactor: remove memory extraction functions and related components from the new chat agent

surfsense_backend/app/agents/new_chat/memory_extraction.py

@@ -1,78 +0,0 @@
-"""Background memory extraction for the SurfSense agent."""
-
-from __future__ import annotations
-
-import logging
-from typing import Any
-from uuid import UUID
-
-from app.db import User, shielded_async_session
-from app.services.memory import MemoryScope, extract_and_save
-
-logger = logging.getLogger(__name__)
-
-
-async def extract_and_save_memory(
-    *,
-    user_message: str,
-    user_id: str | None,
-    llm: Any,
-) -> None:
-    """Fire-and-forget personal memory extraction.
-
-    The service uses structured output, so free-form ``NO_UPDATE`` text can no
-    longer be accidentally persisted as memory.
-    """
-    if not user_id:
-        return
-
-    try:
-        uid = UUID(user_id) if isinstance(user_id, str) else user_id
-        async with shielded_async_session() as session:
-            user = await session.get(User, uid)
-            actor_display_name = user.display_name if user else None
-            result = await extract_and_save(
-                scope=MemoryScope.USER,
-                target_id=uid,
-                user_message=user_message,
-                actor_display_name=actor_display_name,
-                session=session,
-                llm=llm,
-            )
-            logger.info(
-                "Background memory extraction for user %s: %s",
-                uid,
-                result.status,
-            )
-    except Exception:
-        logger.exception("Background user memory extraction failed")
-
-
-async def extract_and_save_team_memory(
-    *,
-    user_message: str,
-    search_space_id: int | None,
-    llm: Any,
-    author_display_name: str | None = None,
-) -> None:
-    """Fire-and-forget team-level memory extraction."""
-    if not search_space_id:
-        return
-
-    try:
-        async with shielded_async_session() as session:
-            result = await extract_and_save(
-                scope=MemoryScope.TEAM,
-                target_id=search_space_id,
-                user_message=user_message,
-                actor_display_name=author_display_name,
-                session=session,
-                llm=llm,
-            )
-            logger.info(
-                "Background team memory extraction for space %s: %s",
-                search_space_id,
-                result.status,
-            )
-    except Exception:
-        logger.exception("Background team memory extraction failed")