def get_order(cls, tx_id):
"""
根据交易ID查询订单
:param tx_id:
:return:
"""
order_id = OrderUtils.parse_tx_id(tx_id)
return cls.get_order_by_order_id(order_id)
def query_by_tx_id(cls, tx_id):
"""
根据交易ID查询订单
:param tx_id:
:return:
"""
if cls.is_base_order():
raise RuntimeError('can not query by base order')
order_id = OrderUtils.parse_tx_id(tx_id)
g_order_id = GlobalOrderId.query_global_id(order_id)
if not g_order_id:
return None
return cls.query_by_order_id(g_order_id.merchant, order_id,
g_order_id.create_time)
def get(self):
"""
订单修改日志
:return:
"""
if not request.args:
return ResponseSuccess(
message=
"参数规则：?merchant=test&date=20190901&order_id=123&uid=123&ref_id=xxx&export=1，"
"必填参数：merchant，"
"可选参数：date，order_id，uid，ref_id，export，"
"当不填写date时，默认查询当天所有的数据").as_response()
try:
date = request.args.get('date')
if date:
date = DateTimeKit.str_to_datetime(
date, DateTimeFormatEnum.TIGHT_DAY_FORMAT, to_date=True)
else:
date = DateTimeKit.get_cur_date()
except:
return ResponseSuccess(
message="请输入有效的查询日期，格式为：20190901").as_response()
q_params = dict()
order_id = request.args.get('order_id')
try:
order_id = OrderUtils.parse_tx_id(order_id)
except:
pass
if order_id:
q_params['order_id'] = order_id
uid = request.args.get('uid')
if uid:
q_params['uid'] = uid
ref_id = request.args.get('ref_id')
if ref_id:
q_params['ref_id'] = ref_id
if not q_params:
return ResponseSuccess(
message="必须输入 order_id/uid/ref_id 其中一个或多个参数").as_response()
events = OrderEvent.query_model(query_fields=q_params, date=date)
rst = list()
for event in events:
rst.append(
dict(
create_time=event.create_time,
order_id=event.order_id,
uid=event.uid,
ref_id=event.ref_id,
data_before=event.data_before,
data_after=event.data_after,
))
rst = sorted(rst, key=lambda x: x['create_time'], reverse=True)
for x in rst:
x['create_time'] = DateTimeKit.datetime_to_str(x['create_time'])
if rst and request.args.get('export'):
filename = 'order_events_%s.csv' % DateTimeKit.datetime_to_str(
date, DateTimeFormatEnum.TIGHT_DAY_FORMAT)
return CsvKit.send_csv(rst,
filename=filename,
fields=rst[0].keys())
return ResponseSuccess(bs_data=rst).as_response()
