765dbdfbd4
M4（文风）: style-auditor 双轨（提取指纹/漂移第四审）+ jobs 长任务框架(zombie reaper) + 回炉 refine + GET /style read-back。 M5（生成+扩展）: worldbuilder/character-gen（入库 continuity 409 gate + partition_writes 白名单 + schema→JSONB 形变）； 网关多 provider 回退链/熔断/能力降级（Anthropic/Gemini 适配器）；Skill registry + 表权限沙箱 + 规则； 前端 角色生成器/世界观/Codex/规则页/技能库/⌘K 命令面板。 K1（Kimi Code 订阅接入）: OAuth device-flow（kimi-code）+ 静态 Console key（kimi-code-key）两路径； coding 端点 KimiCLI 伪造头（实测 UA allow-list 门禁，缺则 403）+ JSON 模式结构化（thinking ⊥ tool_choice）。 本地联调修复: CORS 中间件；assemble 注入 premise+「写第N章」指令（修空 prompt 400）； GET /outline·/draft read-back + 大纲/工作台/审稿页重载；写页 client/server 常量边界 + notFound 健壮化； 字数 toLocaleString locale 水合；审稿页终稿从已存草稿 seed（修 accept 422）。 门禁: backend ruff/mypy(157)/alembic 无漂移/pytest 451 · frontend lint/tsc/vitest/build。 Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
105 lines
3.9 KiB
Python
105 lines
3.9 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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# Kimi 订阅 plan（OAuth device-flow，K1.3）：coding 端点（OpenAI 兼容 + 伪造头）。
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"kimi-code": "https://api.kimi.com/coding/v1",
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# Kimi 订阅 plan（静态 Console Key，ToS 合规）：同一 coding 端点，纯 bearer 无伪造头。
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"kimi-code-key": "https://api.kimi.com/coding/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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if cred.api_key_enc is None:
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# api_key 探测不支持 OAuth 凭据（无 api_key 密文）——OAuth provider 走专属端点。
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raise AppError(
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ErrorCode.VALIDATION,
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f"provider {provider} 为 OAuth 凭据，不支持 api_key 连接测试",
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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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