b523b4fd21
- 薄自建 LLM 网关：OpenAI 兼容适配器(DeepSeek) + instructor 结构化输出 + usage_ledger 记账 + 档位路由 - 记忆服务 assemble：确定性选择(显式+主角+近况) + 渲染卡 + 缓存断点(中性文本) - LangGraph 写章节点 + Postgres checkpointer + SSE 归一(token/done/error) - API：立项 + 写章 draft(SSE) + PUT 自动保存 + 提供商凭据(Fernet 加密/测试连接) - 前端：AppShell + 作品库 + 5 步立项向导 + 写作工作台(流式打字机+自动保存) + 设置页 - M1 E2E：真实 DB + mock 网关零 token 走通闭环
94 lines
3.2 KiB
Python
94 lines
3.2 KiB
Python
"""提供商凭据端点的依赖装配（运行时实现）。
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把 `get_session` 装配成 `SqlCredentialStore`；把网关适配器装配成探测器。
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测试经 `app.dependency_overrides` 注入内存替身——不联网。
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"""
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from __future__ import annotations
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import uuid
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from typing import Annotated
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from fastapi import Depends
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from openai import AsyncOpenAI
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from sqlalchemy.ext.asyncio import AsyncSession
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from ww_config import get_settings
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from ww_db import get_session
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from ww_llm_gateway.adapters.base import Capabilities
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from ww_llm_gateway.adapters.openai_compat import OpenAICompatAdapter
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from ww_shared import AppError, ErrorCode
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from ww_api.security.credentials import (
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CredentialKeyError,
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decrypt_api_key,
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)
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from ww_api.services.credentials import (
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CredentialStore,
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SqlCredentialStore,
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)
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# 已知 OpenAI 兼容提供商 → base_url（ARCH §4.2）。
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_PROVIDER_BASE_URLS: dict[str, str] = {
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"deepseek": "https://api.deepseek.com",
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"kimi": "https://api.moonshot.cn/v1",
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"qwen": "https://dashscope.aliyuncs.com/compatible-mode/v1",
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"glm": "https://open.bigmodel.cn/api/paas/v4",
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"openai": "https://api.openai.com/v1",
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}
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def get_credential_store(
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session: Annotated[AsyncSession, Depends(get_session)],
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) -> CredentialStore:
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return SqlCredentialStore(session)
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class GatewayProviderProbe:
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"""运行时探测：解密 Key→建 OpenAI 兼容适配器→最小请求验 Key→回能力矩阵。
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依赖 store 取密文 + settings 取加密 key。绝不在日志/响应回显明文。
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"""
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def __init__(self, store: CredentialStore, enc_key: str) -> None:
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self._store = store
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self._enc_key = enc_key
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async def probe(self, owner_id: uuid.UUID, provider: str) -> Capabilities:
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cred = await self._store.get_credential(owner_id, provider)
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if cred is None:
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raise AppError(
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ErrorCode.NOT_FOUND,
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f"provider {provider} 未配置凭据",
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{"provider": provider},
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)
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base_url = _PROVIDER_BASE_URLS.get(provider)
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if base_url is None:
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raise AppError(
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ErrorCode.VALIDATION,
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f"未知提供商 {provider}",
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{"provider": provider},
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)
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try:
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api_key = decrypt_api_key(cred.api_key_enc, key=self._enc_key)
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except CredentialKeyError as exc:
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raise AppError(ErrorCode.INTERNAL, str(exc)) from exc
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client = AsyncOpenAI(api_key=api_key, base_url=base_url)
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adapter = OpenAICompatAdapter(provider=provider, client=client)
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try:
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# 最小探测：列模型即可验证 Key 有效（不消耗生成额度）。
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await client.models.list()
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except Exception as exc: # noqa: BLE001 — 任一失败都映射为 LLM 不可用
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raise AppError(
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ErrorCode.LLM_UNAVAILABLE,
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f"provider {provider} 连接探测失败",
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{"provider": provider},
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) from exc
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return adapter.capabilities()
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def get_provider_probe(
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store: Annotated[CredentialStore, Depends(get_credential_store)],
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) -> GatewayProviderProbe:
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return GatewayProviderProbe(store, get_settings().credential_enc_key)
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