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>
194 lines
6.3 KiB
Python
194 lines
6.3 KiB
Python
import logging
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import time
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from fastapi import APIRouter, Depends, HTTPException, Request
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.database import get_db
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from app.models.user import User
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from app.routers.auth import get_current_user
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from app.schemas.settings import (
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SettingsOut, ProfileUpdateIn, LLMConfigIn, SchedulerConfigIn, LLMTestIn
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)
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from app.services.log_service import LogService
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from app.services.settings_service import (
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get_user_settings, update_user_profile, update_llm_config,
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update_scheduler_config, test_llm_connection
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)
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from app.logging_utils import summarize_llm_config
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logger = logging.getLogger(__name__)
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router = APIRouter(prefix="/api/settings", tags=["设置"])
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@router.get("", response_model=SettingsOut)
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async def get_settings(
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request: Request,
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current_user: User = Depends(get_current_user),
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db: AsyncSession = Depends(get_db),
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):
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request.state.user_id = current_user.id
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settings = await get_user_settings(current_user.id, db)
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if not settings:
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raise HTTPException(status_code=404, detail="用户不存在")
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await LogService(db).system_log(
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message="加载用户设置",
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source="settings",
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user_id=current_user.id,
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request_id=request.state.request_id,
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route=request.url.path,
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method=request.method,
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status_code=200,
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operation="settings.get",
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details={"llm_config": summarize_llm_config(settings.get("llm_config"))},
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)
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return settings
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@router.put("/profile")
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async def update_profile(
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data: ProfileUpdateIn,
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current_user: User = Depends(get_current_user),
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db: AsyncSession = Depends(get_db),
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):
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try:
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user = await update_user_profile(
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current_user.id, db,
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full_name=data.full_name,
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password=data.password,
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current_password=data.current_password
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)
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return user
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except ValueError as e:
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raise HTTPException(status_code=400, detail=str(e))
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@router.put("/llm")
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async def update_llm(
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data: LLMConfigIn,
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request: Request,
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current_user: User = Depends(get_current_user),
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db: AsyncSession = Depends(get_db),
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):
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request.state.user_id = current_user.id
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log_service = LogService(db)
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start = time.perf_counter()
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payload = data.model_dump(exclude_none=True)
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try:
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config = await update_llm_config(current_user.id, payload, db)
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await log_service.system_log(
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message="更新 LLM 配置成功",
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source="settings",
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user_id=current_user.id,
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request_id=request.state.request_id,
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route=request.url.path,
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method=request.method,
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status_code=200,
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operation="settings.update_llm",
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duration_ms=int((time.perf_counter() - start) * 1000),
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details={
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"request": summarize_llm_config(payload),
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"stored": summarize_llm_config(config),
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},
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)
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return {"llm_config": config}
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except ValueError as e:
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await log_service.system_log(
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message="更新 LLM 配置失败",
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level="warning",
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source="settings",
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user_id=current_user.id,
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request_id=request.state.request_id,
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route=request.url.path,
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method=request.method,
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status_code=400,
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error_type=e.__class__.__name__,
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operation="settings.update_llm",
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duration_ms=int((time.perf_counter() - start) * 1000),
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details={"request": summarize_llm_config(payload), "detail": str(e)},
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)
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raise HTTPException(status_code=400, detail=str(e))
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@router.post("/llm/test")
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async def test_llm(
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data: LLMTestIn,
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request: Request,
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current_user: User = Depends(get_current_user),
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db: AsyncSession = Depends(get_db),
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):
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request.state.user_id = current_user.id
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start = time.perf_counter()
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result = await test_llm_connection(
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provider=data.provider,
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model=data.model,
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base_url=data.base_url,
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api_key=data.api_key
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)
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await LogService(db).system_log(
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message="测试 LLM 连接",
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level="info" if result.get("success") else "warning",
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source="settings",
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user_id=current_user.id,
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request_id=request.state.request_id,
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route=request.url.path,
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method=request.method,
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status_code=200,
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error_type=None if result.get("success") else "llm_test_failed",
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operation="settings.test_llm",
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duration_ms=int((time.perf_counter() - start) * 1000),
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details={
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"provider": data.provider,
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"model": data.model,
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"has_base_url": bool(data.base_url),
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"has_api_key": bool(data.api_key),
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"success": result.get("success"),
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"error": result.get("error"),
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},
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)
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return result
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@router.put("/scheduler")
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async def update_scheduler(
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data: SchedulerConfigIn,
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request: Request,
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current_user: User = Depends(get_current_user),
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db: AsyncSession = Depends(get_db),
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):
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request.state.user_id = current_user.id
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payload = data.model_dump(exclude_none=True)
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try:
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config = await update_scheduler_config(
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current_user.id,
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payload,
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db
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)
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await LogService(db).system_log(
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message="更新调度配置成功",
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source="settings",
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user_id=current_user.id,
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request_id=request.state.request_id,
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route=request.url.path,
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method=request.method,
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status_code=200,
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operation="settings.update_scheduler",
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details={"request": payload, "stored": config},
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)
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return {"scheduler_config": config}
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except ValueError as e:
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await LogService(db).system_log(
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message="更新调度配置失败",
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level="warning",
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source="settings",
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user_id=current_user.id,
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request_id=request.state.request_id,
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route=request.url.path,
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method=request.method,
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status_code=400,
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error_type=e.__class__.__name__,
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operation="settings.update_scheduler",
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details={"request": payload, "detail": str(e)},
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)
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raise HTTPException(status_code=400, detail=str(e))
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