Files
leocrm/app/plugins/builtins/unified_search/base_provider.py
T

119 lines
4.1 KiB
Python
Raw Normal View History

"""Base search provider with visibility filter — all search providers should inherit from this.
This ensures that search results respect row-level security automatically.
Plugins that provide search functionality should use this base class.
"""
from __future__ import annotations
import logging
import uuid
from typing import Any
from sqlalchemy import text
from sqlalchemy.ext.asyncio import AsyncSession
from app.config import settings
logger = logging.getLogger(__name__)
class BaseSearchProvider:
"""Base class for search providers with built-in visibility filtering.
Subclasses must implement _search_fts_filtered() and _search_vector_filtered().
The base class handles loading visible IDs and passing them to the subclass.
"""
# Capability flags — override in subclass
supports_fts: bool = True
supports_vector: bool = True
supports_rag: bool = False
supports_graph: bool = False
entity_type: str = "" # Override in subclass
async def search_fts(
self,
db: AsyncSession,
tsquery: str,
tenant_id: uuid.UUID,
limit: int,
user_id: uuid.UUID | None = None,
is_system_admin: bool = False,
) -> list[dict[str, Any]]:
"""Full-text search with visibility filter."""
if is_system_admin or not user_id:
return await self._search_fts_filtered(db, tsquery, tenant_id, limit, None)
visible_ids = await self._get_visible_ids(db, tenant_id, user_id)
if not visible_ids:
return []
return await self._search_fts_filtered(db, tsquery, tenant_id, limit, visible_ids)
async def search_vector(
self,
db: AsyncSession,
embedding: list[float],
tenant_id: uuid.UUID,
limit: int,
user_id: uuid.UUID | None = None,
is_system_admin: bool = False,
) -> list[dict[str, Any]]:
"""Semantic vector search with visibility filter.
Uses over-fetch strategy: fetch limit*3 from HNSW without permission
filter, then post-filter in Python. This avoids the 15x performance
hit of `id = ANY($uuid[])` on HNSW results found in SPIKE-E.
"""
# Set HNSW ef_search parameter for this transaction
await db.execute(text(f"SET LOCAL hnsw.ef_search = {settings.hnsw_ef_search}"))
if is_system_admin or not user_id:
return await self._search_vector_filtered(db, embedding, tenant_id, limit, None)
visible_ids = await self._get_visible_ids(db, tenant_id, user_id)
if not visible_ids:
return []
# Over-fetch 3x the limit, then post-filter in Python
over_fetch_limit = limit * 3
results = await self._search_vector_filtered(db, embedding, tenant_id, over_fetch_limit, None)
filtered = [r for r in results if r.get("id") in visible_ids]
return filtered[:limit]
async def _get_visible_ids(
self, db: AsyncSession, tenant_id: uuid.UUID, user_id: uuid.UUID
) -> set[uuid.UUID] | None:
"""Get visible entity IDs for the user."""
from app.services.entity_permission_service import get_visible_ids
visible, _ = await get_visible_ids(db, tenant_id, user_id, self.entity_type)
return visible if visible else None
async def _search_fts_filtered(
self,
db: AsyncSession,
tsquery: str,
tenant_id: uuid.UUID,
limit: int,
visible_ids: set[uuid.UUID] | None,
) -> list[dict[str, Any]]:
"""Override: FTS search filtered by visible_ids. If visible_ids is None, no filter."""
raise NotImplementedError
async def _search_vector_filtered(
self,
db: AsyncSession,
embedding: list[float],
tenant_id: uuid.UUID,
limit: int,
visible_ids: set[uuid.UUID] | None,
) -> list[dict[str, Any]]:
"""Override: Vector search filtered by visible_ids. If visible_ids is None, no filter."""
raise NotImplementedError
async def get_embedding_text(
self, db: AsyncSession, entity_id: uuid.UUID, tenant_id: uuid.UUID
) -> str:
"""Override: Get text for embedding generation."""
raise NotImplementedError