LongArticleTaskServer/applications/tasks/task_scheduler.py

import time
from datetime import datetime

from applications.api import feishu_robot
from applications.utils import task_schedule_response
from applications.tasks.monitor_tasks import check_kimi_balance


class TaskScheduler:
    def __init__(self, data, log_service, db_client):
        self.data = data
        self.log_client = log_service
        self.db_client = db_client
        self.table = "long_articles_task_manager"

    async def whether_task_processing(self, task_name: str) -> bool:
        """whether task is processing"""
        query = f"""
            select start_timestamp from {self.table} where task_name = %s and task_status = %s;
        """
        response = await self.db_client.async_fetch(query=query, params=(task_name, 1))
        if not response:
            # no task is processing
            return False
        else:
            start_timestamp = response[0]["start_timestamp"]
            # todo: every task should has a unique expire timestamp, remember to write that in a task config file
            if int(time.time()) - start_timestamp >= 86400:
                feishu_robot.bot(
                    title=f"{task_name} has been processing for more than one day",
                    detail={"timestamp": start_timestamp},
                )
            return True

    async def record_task(self, task_name, date_string):
        """record task"""
        query = f"""insert into {self.table} (date_string, task_name, start_timestamp) values (%s, %s, %s);"""
        await self.db_client.async_save(
            query=query, params=(date_string, task_name, int(time.time()))
        )

    async def lock_task(self, task_name, date_string):
        query = f"""update {self.table} set task_status = %s where task_name = %s and date_string = %s and task_status = %s;"""
        return await self.db_client.async_save(
            query=query, params=(1, task_name, date_string, 0)
        )

    async def release_task(self, task_name, date_string, final_status):
        """
        任务执行完成之后，将任务状态设置为完成状态/失败状态
        """
        query = f"""
            update {self.table} set task_status = %s, finish_timestamp = %s
            where task_name = %s and date_string = %s and task_status = %s;
        """
        return await self.db_client.async_save(
            query=query, params=(final_status, int(time.time()), task_name, date_string, 1)
        )

    async def deal(self):
        task_name = self.data.get("task_name")
        date_string = self.data.get("date_string")
        if not task_name:
            await self.log_client.log(
                contents={
                    "task": task_name,
                    "function": "task_scheduler_deal",
                    "message": "not task name in params",
                    "status": "fail",
                    "data": self.data,
                }
            )
            return await task_schedule_response.fail_response(
                error_code="4002", error_message="task_name must be input"
            )

        if not date_string:
            date_string = datetime.today().strftime("%Y-%m-%d")

        match task_name:
            case "check_kimi_balance":
                if await self.whether_task_processing(task_name):
                    return await task_schedule_response.fail_response(
                        error_code="5001", error_message="task is processing"
                    )
                await self.record_task(task_name=task_name, date_string=date_string)

                await self.lock_task(task_name, date_string)
                response = await check_kimi_balance()
                await self.log_client.log(
                    contents={
                        "task": task_name,
                        "function": "task_scheduler_deal",
                        "message": "check_kimi_balance task execute successfully",
                        "status": "success",
                        "data": response,
                    }
                )
                await self.release_task(task_name=task_name, date_string=date_string, final_status=response['code'])
                return await task_schedule_response.success_response(
                    task_name=task_name, data=response
                )
            case _:
                await self.log_client.log(
                    contents={
                        "task": task_name,
                        "function": "task_scheduler_deal",
                        "message": "wrong task input",
                        "status": "success",
                        "data": self.data,
                    }
                )
                return await task_schedule_response.fail_response(
                    error_code="4001", error_message="wrong task name input"
                )