def get_update_job_data(request):
# 获取 更新任务数据
response = HttpResponse()
cur = Currency(request)
_id = cur.rq_post_json('_id')
jd = JobData({})
response.write(json.dumps(jd.get_job_data_by_id(_id)))
return response
def __init__(self, request):
cur = Currency(request)
data = cur.rq_post_json('data')
self.dtconn = dataconn.DatabaseConnection(logger)
self.jd = BatchJobData(data)
self.error_msg = []
self.result = self._SUCCESS
def run_job(request):
# 执行任务
response = HttpResponse()
cur = Currency(request)
data = cur.rq_post_json('data')
# run(**data)
run.delay(**data)
response.write(json.dumps(_SUCCESS))
return response
def add_job_data(request):
# 新增或者修改任务数据
response = HttpResponse()
cur = Currency(request)
data = cur.rq_post_json('data')
jd = JobData(data)
if jd.operation_type == config.OPERATION_TYPE[0]:
result = jd.create() # 新增
else:
result = jd.update() # 更新
response.write(json.dumps(result))
return response
def __init__(self, request):
"""
RESPONSE_TYPE 返回给用户数据的方式
1：20万行以内的数据，以excel方式返回
2：超过20万行的数据，需要分批处理
3：小量的数据以HTML表格的方式返回'
"""
cur = Currency(request)
data = cur.rq_post_json('data')
self.dtconn = dataconn.DatabaseConnection(logger)
self.jd = JobData(data)
self.error_msg = []
self.result = self._SUCCESS
def add_batch_job_data(request):
# 新增或者修改任务数据
response = HttpResponse()
cur = Currency(request)
data = cur.rq_post_json('data')
jd = BatchJobData(data)
if jd.operation_type == _OPERATION_TYPE[0]:
result = jd.create() # 新批处理作业
jd.create_PeriodicTask() # 创建定时任务
else:
result = jd.update()
jd.update_PeriodicTask()
response.write(json.dumps(result))
return response