energy-data-trans/app.py

# -*- coding: utf-8 -*-
# @Time    : 2024/6/6
# @Author  : 魏志亮
from apscheduler.executors.pool import ThreadPoolExecutor
from flask import Flask, request
from flask_apscheduler import APScheduler
from flask_restx import Api, Resource, fields

from schedule_service import run_local

app = Flask(__name__)

api = Api(app, version='1.0', title='Transfer API', description='Transfer API')

localExec = api.model('LocalExecModal', {
    'step': fields.Integer(default=0, description='开始步骤 0:验证删除临时文件 1:复制文件到临时文件夹 2:整理文件到临时文件 3:保存到正式文件 4:保存到数据库 '),
    'end': fields.Integer(default=3, description='结束步骤  0:验证删除临时文件 1:复制文件到临时文件夹 2:整理文件到临时文件 3:保存到正式文件 4:保存到数据库 '),
    'batch_no': fields.String(default='批次号', description='批次号'),
    'transfer_type': fields.String(default='minute', description='传输类型'),
    'transfer_file_addr': fields.String(default='/test', description='传输文件地址'),
    'field_name': fields.String(default='风场名称', description='风场名称'),
    'field_code': fields.String(default="风场编号", description="风场编号"),
    'save_db': fields.Boolean(default=False, description='是否保存到数据库')
})


@api.route('/local_exce')
class LocalExec(Resource):
    @api.expect(localExec)
    def post(self):
        try:
            localExec = request.get_json()
            run_local(localExec['step'], localExec['end'], localExec['batch_no'], localExec['transfer_type'],
                      localExec['transfer_file_addr'], localExec['field_name'], localExec['field_code'],
                      localExec['save_db'])
        except Exception as e:
            print(e)
        return {'status': 200, 'message': '正在执行'}


class Config(object):
    JOBS = [
        {
            'id': 'job1',
            'func': 'schedule_service:run_schedule',
            'args': (0, 4),
            'trigger': 'interval',
            'seconds': 60
        }
    ]
    SCHEDULER_EXECUTORS = {'default': ThreadPoolExecutor(6)}
    # 调度器开关开启
    SCHEDULER_API_ENABLED = True
    # 设置容错时间为 2min
    # coalesce积攒得任务跑几次，在时间允许得范围内 True:默认最后一次，False:在时间允许范围内全部提交
    # max_instances 同时允许并发的最大并发量
    # misfire_grace_time 如果重启任务在这个时间范围内，就能继续重启
    SCHEDULER_JOB_DEFAULTS = {'coalesce': True, 'max_instances': 2, 'misfire_grace_time': 60}
    # 配置时区
    SCHEDULER_TIMEZONE = 'Asia/Shanghai'


@app.teardown_appcontext
def shutdown_scheduler(exception):
    if scheduler.running:
        scheduler.shutdown()


if __name__ == '__main__':
    app.config.from_object(Config())

    scheduler = APScheduler()
    scheduler.init_app(app)
    # scheduler.start()
    app.run(debug=True, port=8088)