小鱼开发
95e55293c6
后端安全: - DEBUG 默认 True → False - 彻底移除 AUTH_BYPASS 认证绕过 - 验证码不再明文打印到日志 - 上传接口增加大小限制(500MB/20MB/100MB)与魔数校验 - python-jose → PyJWT, 更新 requirements.lock/uv.lock - Bandit 恢复关键规则(B104/B301/B305/B314/B324/B603/B607) - 修复 5 处 try_except_pass, 15 处加 nosec 注释 - 启用 Bandit pre-commit 钩子 前端安全: - 配置完整 CSP 策略 - 收紧 Capabilities(fs:allow-read-file → $RESOURCE/**) - 移除硬编码 devToken - 清理前端 TODO(美家卡智影命名统一) 部署修复: - docker-compose.prod 增加 alembic 迁移步骤 - api + scheduler 增加 Redis 心跳健康检查 - Nginx 添加安全响应头 - Nginx client_max_body_size 100M → 500M - .env.example 补充 UPLOAD_MAX_* 配置与安全注释 其他: - /voice/upload 合并到 /upload/audio - Rust 上传增加文件大小检查 - 清理 Rust 19 处 println! + 前端 21 处 console.info - 修复 VideoCompose.tsx toast 未导入(已有bug)
358 lines
13 KiB
Python
358 lines
13 KiB
Python
"""
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AI 模型路由 V2 - 基于文件配置
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=================================
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从 YAML 配置文件加载平台/模型配置。
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配置在启动时加载，运行时只读，不支持热重载。
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"""
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import asyncio
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import logging
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from app.ai.adapters.constants import Method
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from app.ai.providers.base import GenerationResult, ModelHealth, ProviderError
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from app.ai.providers.volcengine_provider import VolcengineProvider
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from app.core.config_loader import AIModelConfigLoader, get_config_loader
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from app.platform_gateway import PlatformGateway
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logger = logging.getLogger(__name__)
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class _PlatformInstance:
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"""平台实例包装器（保留兼容，内部转发到 PlatformGateway）"""
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def __init__(self, config: dict, gateway: PlatformGateway | None = None):
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self.config = config
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self.gateway = gateway
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self.provider_id = config.get("id", "")
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async def generate(
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self, model_name: str, prompt: str, **kwargs
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) -> GenerationResult:
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"""调用生成（通过 PlatformGateway）"""
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if self.gateway:
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result = await self.gateway.call_sync(
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platform=self.provider_id,
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method=Method.CHAT,
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payload={
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"prompt": prompt,
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"model": model_name,
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**kwargs,
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},
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)
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if not result.success:
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raise ProviderError(
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result.error_message or f"{self.provider_id} 调用失败"
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)
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data = result.data or {}
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return GenerationResult(
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content=data.get("content", ""),
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usage=data.get("usage"),
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model=data.get("model", model_name),
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)
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# fallback: 直接通过 Provider（兼容旧初始化方式）
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raise ProviderError("PlatformGateway 未初始化")
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async def health_check(self, model_name: str | None = None) -> ModelHealth:
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"""健康检查（通过 PlatformGateway）"""
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if self.gateway:
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try:
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result = await self.gateway.health_check_all()
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adapter_result = result.get(self.provider_id)
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if adapter_result:
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return ModelHealth(
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id=model_name or self.provider_id,
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name=self.provider_id,
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is_available=adapter_result.success,
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response_time=adapter_result.data.get("response_time_ms", 0) if adapter_result.data else 0,
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last_error=adapter_result.error_message,
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)
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except Exception as e:
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logger.warning(f"平台 {self.provider_id} 健康检查失败: {e}")
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return ModelHealth(
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id=model_name or self.provider_id,
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name=self.provider_id,
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is_available=False,
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response_time=0,
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last_error="PlatformGateway 未初始化",
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)
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class ModelRouter:
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"""
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模型路由 V2 - 基于文件配置
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支持：
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- 从 YAML 文件加载配置
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- 多平台配置
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- 每平台多模型
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- 模型自动选择
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"""
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def __init__(self):
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self.platforms: dict[str, _PlatformInstance] = {}
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self._config_loader: AIModelConfigLoader | None = None
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self._initialized = False
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self._gateway: PlatformGateway | None = None
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async def initialize(self, db_session=None, gateway: PlatformGateway | None = None):
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"""初始化路由
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Args:
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db_session: 保留兼容性
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gateway: PlatformGateway 实例，用于统一调用第三方平台
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"""
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if self._initialized:
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return
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self._gateway = gateway
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# 从文件配置加载
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self._config_loader = get_config_loader()
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self._load_from_config()
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self._initialized = True
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logger.info(f"ModelRouter 初始化完成: {len(self.platforms)} 平台")
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def _load_from_config(self):
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"""从配置文件加载平台和模型"""
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self.platforms = {}
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# 加载平台
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for platform in self._config_loader.get_all_platforms():
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try:
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self.platforms[platform.id] = _PlatformInstance(
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{
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"id": platform.id,
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"name": platform.name,
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"provider": platform.provider,
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"base_url": platform.base_url,
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},
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gateway=self._gateway,
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)
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logger.info(f"平台 {platform.id} 初始化成功")
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except Exception as e:
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logger.warning(f"平台 {platform.id} 初始化失败: {e}")
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# 加载模型到 Provider（用于模型名称映射）
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volcengine_models = []
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for model in self._config_loader.get_enabled_models():
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if model.platform_id == "volcengine":
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volcengine_models.append(
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{
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"id": model.id,
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"model_name": model.model_name,
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}
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)
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if volcengine_models:
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VolcengineProvider.load_models_from_config(volcengine_models)
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logger.info(f"已加载 {len(volcengine_models)} 个火山方舟模型到 Provider")
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def get_model_config(self, model_id: str) -> dict | None:
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"""获取模型配置"""
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if self._config_loader:
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model = self._config_loader.get_model(model_id)
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if model:
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return {
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"id": model.id,
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"platform_id": model.platform_id,
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"model_name": model.model_name,
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"display_name": model.display_name,
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"capabilities": model.capabilities,
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"default_params": model.default_params,
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"cost_per_1k_input": model.cost_per_1k_input,
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"cost_per_1k_output": model.cost_per_1k_output,
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"max_tokens_limit": model.max_tokens_limit,
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}
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return None
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def list_models(
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self, capability: str | None = None, platform_id: str | None = None
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) -> list[dict]:
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"""列出可用模型"""
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models = []
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if self._config_loader:
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if capability:
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config_models = self._config_loader.get_models_by_capability(capability)
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elif platform_id:
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config_models = self._config_loader.get_models_by_platform(platform_id)
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else:
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config_models = self._config_loader.get_enabled_models()
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for model in config_models:
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models.append(
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{
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"id": model.id,
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"platform_id": model.platform_id,
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"model_name": model.model_name,
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"display_name": model.display_name,
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"capabilities": model.capabilities,
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"default_params": model.default_params,
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"cost_per_1k_input": model.cost_per_1k_input,
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"cost_per_1k_output": model.cost_per_1k_output,
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"max_tokens_limit": model.max_tokens_limit,
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}
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)
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return models
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def list_platforms(self) -> list[dict]:
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"""列出所有平台"""
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if self._config_loader:
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return [
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{
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"id": p.id,
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"name": p.name,
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"provider": p.provider,
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}
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for p in self._config_loader.get_all_platforms()
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]
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return []
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def select_model_for_task(self, task_type: str) -> str | None:
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"""根据任务类型选择最佳模型"""
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# 先检查任务默认配置
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if self._config_loader:
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default_model = self._config_loader.get_default_model_for_task(task_type)
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if default_model:
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model = self._config_loader.get_model(default_model)
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if model and model.is_enabled:
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return default_model
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# 按能力匹配
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candidates = self._config_loader.get_models_by_capability(task_type)
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if candidates:
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return candidates[0].id
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return None
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async def generate(
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self,
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prompt: str,
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model_id: str | None = None,
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task_type: str | None = None,
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**kwargs,
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) -> GenerationResult:
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"""
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生成文本
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Args:
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prompt: 提示词
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model_id: 指定模型 ID，None 则自动选择
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task_type: 任务类型（用于自动选模型）
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"""
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# 确定主模型
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if model_id is None:
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if task_type:
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model_id = self.select_model_for_task(task_type)
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if model_id is None:
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models = (
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self._config_loader.get_enabled_models()
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if self._config_loader
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else []
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)
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if models:
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model_id = models[0].id
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else:
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raise ProviderError("没有可用的模型")
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model = self._config_loader.get_model(model_id) if self._config_loader else None
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if not model:
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raise ProviderError(f"模型不存在: {model_id}")
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platform = self.platforms.get(model.platform_id)
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if not platform:
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raise ProviderError(f"平台不存在: {model.platform_id}")
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params = {**model.default_params, **kwargs}
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try:
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return await platform.generate(
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prompt=prompt, model_name=model.model_name, **params
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)
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except Exception as e:
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raise ProviderError(f"模型 {model_id} 生成失败: {e}") from e
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async def health_check(self, model_id: str | None = None) -> dict[str, ModelHealth]:
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"""检查模型健康状态"""
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# 优先通过 PlatformGateway 统一健康检查
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if self._gateway:
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gateway_results = await self._gateway.health_check_all()
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results = {}
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if self._config_loader:
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for model in self._config_loader.get_enabled_models():
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adapter_result = gateway_results.get(model.platform_id)
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if adapter_result:
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results[model.id] = ModelHealth(
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id=model.id,
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name=model.display_name,
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is_available=adapter_result.success,
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response_time=adapter_result.data.get("response_time_ms", 0) if adapter_result.data else 0,
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last_error=adapter_result.error_message,
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)
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else:
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results[model.id] = ModelHealth(
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id=model.id,
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name=model.display_name,
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is_available=False,
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response_time=0,
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last_error="平台未注册到 Gateway",
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)
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return results
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# fallback: 直接通过 PlatformInstance
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results = {}
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if model_id:
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model = self._config_loader.get_model(model_id) if self._config_loader else None
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if model:
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platform = self.platforms.get(model.platform_id)
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if platform:
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results[model_id] = await platform.health_check(model.model_name)
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else:
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if self._config_loader:
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for model in self._config_loader.get_enabled_models():
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platform = self.platforms.get(model.platform_id)
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if platform:
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try:
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results[model.id] = await platform.health_check(model.model_name)
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except Exception as e:
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results[model.id] = ModelHealth(
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id=model.id,
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name=model.display_name,
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is_available=False,
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response_time=0,
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last_error=str(e),
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)
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return results
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# 全局单例
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_model_router: ModelRouter | None = None
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_init_lock = asyncio.Lock()
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async def get_model_router(db_session=None, gateway: PlatformGateway | None = None) -> ModelRouter:
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"""获取 ModelRouter 单例（线程安全）
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使用双重检查锁定模式确保并发安全。
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若之前初始化失败（_initialized=False），下次调用会自动重试。
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"""
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global _model_router
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if _model_router is None or not getattr(_model_router, "_initialized", False):
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async with _init_lock:
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if _model_router is None:
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_model_router = ModelRouter()
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if not _model_router._initialized:
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logger.info("Initializing ModelRouter singleton...")
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await _model_router.initialize(db_session, gateway=gateway)
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logger.info("ModelRouter singleton initialized")
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elif gateway is not None and _model_router._gateway is None:
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# 延迟绑定 Gateway（如果之前初始化时未传入）
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_model_router._gateway = gateway
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for platform_instance in _model_router.platforms.values():
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platform_instance.gateway = gateway
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return _model_router
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