fix:优化数据
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丹尼尔
300
backend/app/routers/ai_settings.py
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300
backend/app/routers/ai_settings.py
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"""
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AI 模型配置：支持多套配置，持久化在 data/ai_configs.json，可选用当前生效配置。
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GET /settings/ai 当前选用配置；GET /settings/ai/list 列表；POST 新增；PUT /:id 更新；DELETE /:id 删除；POST /:id/activate 选用。
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"""
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import json
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import uuid
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from pathlib import Path
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from typing import Any, Dict, List
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from fastapi import APIRouter, HTTPException, Query, status
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from pydantic import BaseModel, Field
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from backend.app.services.ai_service import get_active_ai_config, test_connection_with_config
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router = APIRouter(prefix="/settings/ai", tags=["ai-settings"])
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CONFIGS_PATH = Path("data/ai_configs.json")
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LEGACY_CONFIG_PATH = Path("data/ai_config.json")
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DEFAULT_FIELDS: Dict[str, Any] = {
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"provider": "OpenAI",
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"api_key": "",
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"base_url": "",
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"model_name": "gpt-4o-mini",
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"temperature": 0.2,
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"system_prompt_override": "",
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}
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class AIConfigRead(BaseModel):
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model_config = {"protected_namespaces": ()}
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id: str = ""
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name: str = ""
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provider: str = "OpenAI"
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api_key: str = ""
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base_url: str = ""
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model_name: str = "gpt-4o-mini"
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temperature: float = 0.2
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system_prompt_override: str = ""
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class AIConfigListItem(BaseModel):
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"""列表项：不含完整 api_key，仅标记是否已配置"""
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id: str
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name: str
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provider: str
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model_name: str
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base_url: str = ""
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api_key_configured: bool = False
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is_active: bool = False
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class AIConfigCreate(BaseModel):
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model_config = {"protected_namespaces": ()}
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name: str = Field("", max_length=64)
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provider: str = "OpenAI"
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api_key: str = ""
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base_url: str = ""
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model_name: str = "gpt-4o-mini"
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temperature: float = 0.2
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system_prompt_override: str = ""
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class AIConfigUpdate(BaseModel):
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model_config = {"protected_namespaces": ()}
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name: str | None = Field(None, max_length=64)
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provider: str | None = None
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api_key: str | None = None
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base_url: str | None = None
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model_name: str | None = None
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temperature: float | None = None
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system_prompt_override: str | None = None
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def _load_configs_file() -> Dict[str, Any]:
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if not CONFIGS_PATH.exists():
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return {"configs": [], "active_id": ""}
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try:
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data = json.loads(CONFIGS_PATH.read_text(encoding="utf-8"))
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return {"configs": data.get("configs", []), "active_id": data.get("active_id", "") or ""}
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except Exception:
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return {"configs": [], "active_id": ""}
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def _migrate_from_legacy() -> None:
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if CONFIGS_PATH.exists():
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return
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if not LEGACY_CONFIG_PATH.exists():
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return
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try:
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legacy = json.loads(LEGACY_CONFIG_PATH.read_text(encoding="utf-8"))
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except Exception:
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return
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cfg = {**DEFAULT_FIELDS, **legacy}
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new_id = str(uuid.uuid4())[:8]
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payload = {
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"configs": [
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{
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"id": new_id,
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"name": "默认配置",
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"provider": cfg.get("provider", "OpenAI"),
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"api_key": cfg.get("api_key", ""),
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"base_url": cfg.get("base_url", ""),
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"model_name": cfg.get("model_name", "gpt-4o-mini"),
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"temperature": cfg.get("temperature", 0.2),
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"system_prompt_override": cfg.get("system_prompt_override", ""),
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}
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],
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"active_id": new_id,
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}
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CONFIGS_PATH.parent.mkdir(parents=True, exist_ok=True)
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CONFIGS_PATH.write_text(json.dumps(payload, ensure_ascii=False, indent=2), encoding="utf-8")
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def _save_configs(configs: List[Dict], active_id: str) -> None:
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CONFIGS_PATH.parent.mkdir(parents=True, exist_ok=True)
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CONFIGS_PATH.write_text(
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json.dumps({"configs": configs, "active_id": active_id}, ensure_ascii=False, indent=2),
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encoding="utf-8",
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)
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@router.get("", response_model=AIConfigRead)
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async def get_current_ai_settings():
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"""返回当前选用的 AI 配置（用于编辑表单与兼容旧接口）。"""
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_migrate_from_legacy()
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cfg = get_active_ai_config()
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return AIConfigRead(
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id=cfg.get("id", ""),
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name=cfg.get("name", ""),
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provider=cfg.get("provider", "OpenAI"),
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api_key=cfg.get("api_key", ""),
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base_url=cfg.get("base_url", ""),
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model_name=cfg.get("model_name", "gpt-4o-mini"),
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temperature=float(cfg.get("temperature", 0.2)),
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system_prompt_override=cfg.get("system_prompt_override", ""),
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)
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@router.get("/list", response_model=List[AIConfigListItem])
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async def list_ai_configs():
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"""列出所有已配置的模型，方便查看、选用或编辑。"""
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_migrate_from_legacy()
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data = _load_configs_file()
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configs = data.get("configs") or []
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active_id = data.get("active_id") or ""
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out = []
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for c in configs:
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out.append(
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AIConfigListItem(
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id=c.get("id", ""),
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name=c.get("name", "未命名"),
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provider=c.get("provider", "OpenAI"),
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model_name=c.get("model_name", ""),
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base_url=(c.get("base_url") or "")[:64] or "",
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api_key_configured=bool((c.get("api_key") or "").strip()),
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is_active=(c.get("id") == active_id),
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)
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)
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return out
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@router.get("/{config_id}", response_model=AIConfigRead)
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async def get_ai_config_by_id(config_id: str):
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"""获取单条配置（用于编辑）。"""
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_migrate_from_legacy()
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data = _load_configs_file()
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for c in data.get("configs") or []:
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if c.get("id") == config_id:
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return AIConfigRead(
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id=c.get("id", ""),
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name=c.get("name", ""),
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provider=c.get("provider", "OpenAI"),
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api_key=c.get("api_key", ""),
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base_url=c.get("base_url", ""),
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model_name=c.get("model_name", "gpt-4o-mini"),
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temperature=float(c.get("temperature", 0.2)),
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system_prompt_override=c.get("system_prompt_override", ""),
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)
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raise HTTPException(status_code=404, detail="配置不存在")
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@router.post("", response_model=AIConfigRead, status_code=status.HTTP_201_CREATED)
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async def create_ai_config(payload: AIConfigCreate):
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"""新增一套模型配置。"""
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_migrate_from_legacy()
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data = _load_configs_file()
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configs = list(data.get("configs") or [])
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active_id = data.get("active_id") or ""
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new_id = str(uuid.uuid4())[:8]
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name = (payload.name or "").strip() or f"{payload.provider} - {payload.model_name}"
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new_cfg = {
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"id": new_id,
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"name": name[:64],
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"provider": payload.provider or "OpenAI",
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"api_key": payload.api_key or "",
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"base_url": (payload.base_url or "").strip(),
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"model_name": (payload.model_name or "gpt-4o-mini").strip(),
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"temperature": float(payload.temperature) if payload.temperature is not None else 0.2,
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"system_prompt_override": (payload.system_prompt_override or "").strip(),
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}
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configs.append(new_cfg)
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if not active_id:
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active_id = new_id
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_save_configs(configs, active_id)
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return AIConfigRead(**new_cfg)
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@router.put("/{config_id}", response_model=AIConfigRead)
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async def update_ai_config(config_id: str, payload: AIConfigUpdate):
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"""更新指定配置。"""
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_migrate_from_legacy()
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data = _load_configs_file()
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configs = data.get("configs") or []
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for c in configs:
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if c.get("id") == config_id:
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if payload.name is not None:
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c["name"] = (payload.name or "").strip()[:64] or c.get("name", "")
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if payload.provider is not None:
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c["provider"] = payload.provider
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if payload.api_key is not None:
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c["api_key"] = payload.api_key
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if payload.base_url is not None:
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c["base_url"] = (payload.base_url or "").strip()
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if payload.model_name is not None:
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c["model_name"] = (payload.model_name or "").strip()
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if payload.temperature is not None:
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c["temperature"] = float(payload.temperature)
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if payload.system_prompt_override is not None:
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c["system_prompt_override"] = (payload.system_prompt_override or "").strip()
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_save_configs(configs, data.get("active_id", ""))
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return AIConfigRead(
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id=c.get("id", ""),
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name=c.get("name", ""),
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provider=c.get("provider", "OpenAI"),
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api_key=c.get("api_key", ""),
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base_url=c.get("base_url", ""),
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model_name=c.get("model_name", "gpt-4o-mini"),
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temperature=float(c.get("temperature", 0.2)),
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system_prompt_override=c.get("system_prompt_override", ""),
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)
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raise HTTPException(status_code=404, detail="配置不存在")
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@router.delete("/{config_id}", status_code=status.HTTP_204_NO_CONTENT)
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async def delete_ai_config(config_id: str):
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"""删除指定配置；若为当前选用，则改用列表第一项。"""
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_migrate_from_legacy()
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data = _load_configs_file()
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configs = [c for c in (data.get("configs") or []) if c.get("id") != config_id]
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active_id = data.get("active_id", "")
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if active_id == config_id:
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active_id = configs[0].get("id", "") if configs else ""
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_save_configs(configs, active_id)
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return None
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@router.post("/test")
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async def test_ai_connection(config_id: str | None = Query(None, description="指定配置 ID，不传则用当前选用")):
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"""测试连接；不传 config_id 时使用当前选用配置。"""
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if config_id:
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data = _load_configs_file()
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for c in data.get("configs") or []:
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if c.get("id") == config_id:
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try:
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result = await test_connection_with_config(c)
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return {"status": "ok", "message": result}
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except Exception as e:
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raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e)) from e
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raise HTTPException(status_code=404, detail="配置不存在")
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try:
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result = await test_connection_with_config(get_active_ai_config())
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return {"status": "ok", "message": result}
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except Exception as e:
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raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e)) from e
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@router.post("/{config_id}/activate", response_model=AIConfigRead)
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async def activate_ai_config(config_id: str):
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"""选用该配置为当前生效。"""
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_migrate_from_legacy()
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data = _load_configs_file()
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exists = any(c.get("id") == config_id for c in (data.get("configs") or []))
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if not exists:
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raise HTTPException(status_code=404, detail="配置不存在")
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_save_configs(data.get("configs", []), config_id)
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cfg = get_active_ai_config()
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return AIConfigRead(
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id=cfg.get("id", ""),
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name=cfg.get("name", ""),
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provider=cfg.get("provider", "OpenAI"),
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api_key=cfg.get("api_key", ""),
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base_url=cfg.get("base_url", ""),
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model_name=cfg.get("model_name", "gpt-4o-mini"),
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temperature=float(cfg.get("temperature", 0.2)),
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system_prompt_override=cfg.get("system_prompt_override", ""),
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)
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