from typing import List, Optional

from pydantic import BaseModel

class JobLogBase(BaseModel):
    # 执行器主键ID
    job_group: int
    # 任务主键ID
    job_id: int
    # 执行器地址，本次执行的地址
    executor_address: Optional[str]
    # 执行器任务handler
    executor_handler: Optional[str]
    # 执行器任务参数
    executor_param: str
    # 执行器任务分片参数，格式如1/2
    executor_sharding_param: str
    # 失败重试次数
    executor_fail_retry_count: int
    # 告警状态：0-默认、1-无需告警、2-告警成功、3-告警失败
    alarm_status: int



class JobLogCreate(JobLogBase):
    class Config:
        schema_extra = {
            "example": {
                "job_group": 1,
                "job_id": 1,
                "executor_address": "FIRST",
                "executor_handler": "",
                "executor_param": "",
                "executor_sharding_param": "1/2",
                "executor_fail_retry_count": 3,
                "alarm_status": 0
            }
        }

class JobLogTriggerUpdate():
    # 调度时间
    trigger_time: int
    # 调度结果
    trigger_code: int
    # 调度日志
    trigger_msg: str
    class Config:
        schema_extra = {
            "example": {
                "trigger_time": 1588888888,
                "trigger_code": 1,
                "trigger_msg": "",
            }
        }

class JobLogHandleUpdate():
    # 执行时间
    handle_time: int
    # 执行状态
    handle_code: int
    # 执行日志
    handle_msg: str
    class Config:
        schema_extra = {
            "example": {
                "handle_time": 1588888888,
                "handle_code": 1,
                "handle_msg": "",
            }
        }



class JobLog(JobLogBase):
    id: int
     # 上次调度时间
    trigger_time: int
    # 调度状态: 0-停止 1-运行
    trigger_code: int
    # 上次调度时间
    trigger_msg: str
    # 执行时间
    handle_time: int
    # 执行状态
    handle_code: int
    # 执行日志
    handle_msg: str
    # datax 进程ID
    process_id: str

    class Config:
        orm_mode = True