Add brain memory services and APIs

Introduce the backend pieces for brain memory ingestion, routing, and
system telemetry so the new knowledge workflows can project data into a
brain view. The supporting tests lock in the new behavior and keep the
expanded backend surface stable.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
2026-03-22 13:47:34 +08:00
parent e3691b01bb
commit d2447ee635
28 changed files with 2278 additions and 197 deletions

View File

@@ -1,9 +1,11 @@
import copy
import logging
from typing import Optional
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select
from app.models.user import User
from app.services.auth_service import verify_password, get_password_hash
from app.logging_utils import summarize_llm_config
logger = logging.getLogger(__name__)
@@ -49,9 +51,7 @@ async def update_user_profile(
async def update_llm_config(user_id: str, config: dict, db: AsyncSession) -> dict:
"""更新 LLM 配置"""
import copy
logger.info(f"update_llm_config called with config keys: {list(config.keys())}")
logger.info(f"chat config: {config.get('chat')}")
logger.info("update_llm_config called", extra={"details": {"keys": list(config.keys())}})
result = await db.execute(select(User).where(User.id == user_id))
user = result.scalar_one_or_none()
if not user:
@@ -59,7 +59,7 @@ async def update_llm_config(user_id: str, config: dict, db: AsyncSession) -> dic
# 创建深拷贝,避免 SQLAlchemy 变更检测问题
current = copy.deepcopy(user.llm_config) or {}
logger.info(f"current llm_config before update: {current}")
logger.info("llm_config before update", extra={"details": summarize_llm_config(current)})
# 合并配置 - 直接替换整个类型配置列表
for key, value in config.items():
if value is not None:
@@ -74,11 +74,11 @@ async def update_llm_config(user_id: str, config: dict, db: AsyncSession) -> dic
current[key] = value
else:
current[key] = value
logger.info(f"current llm_config after update: {current}")
logger.info("llm_config after update", extra={"details": summarize_llm_config(current)})
user.llm_config = current
await db.commit()
await db.refresh(user)
logger.info(f"user.llm_config after refresh: {user.llm_config}")
logger.info("user.llm_config after refresh", extra={"details": summarize_llm_config(user.llm_config)})
return current