Fine-tuning/backend/app/schemas/deployment.py

from pydantic import BaseModel


class DeployConfig(BaseModel):
    job_id: str
    merge_with_base: bool = False
    export_format: str = "safetensors"  # safetensors | gguf


class DeployServeConfig(BaseModel):
    """部署为在线服务的配置。"""
    job_id: str
    merge_with_base: bool = True  # 部署为服务时默认合并基础模型
    port: int | None = None       # 可选指定端口，为空则自动分配
    host: str = "0.0.0.0"         # 监听地址


class DeployResponse(BaseModel):
    task_id: str | None = None  # 部署任务 ID（用于轮询状态）
    job_id: str
    status: str
    deploy_mode: str = "export"   # export | serve
    progress: float = 0.0
    output_path: str | None = None
    endpoint_url: str | None = None  # serve 模式下的 base_url
    port: int | None = None
    error: str | None = None


class DeployedServiceInfo(BaseModel):
    """已部署的在线服务信息。"""
    task_id: str
    job_id: str
    status: str                   # running | stopped | error
    endpoint_url: str | None = None
    base_url: str | None = None   # 同 endpoint_url，方便 OpenAI SDK 使用
    port: int | None = None
    output_path: str | None = None
    created_at: str | None = None
    error: str | None = None