def get(self, request):
'''
根据code获取该code的溢油随着时间的平均轨迹点
:param request:
:return:
'''
code = request.GET.get('code', None)
# TODO:[-] 20-01-16 此处修改为直接读取nc文件，不读取数据库
track_list = []
msg = ''
if code is not None:
try:
# track_list = OilspillingAvgModel.objects(code=code)
# TODO:[*] 20-02-03 此处需要修改当请求进来
reader_func = create_reader('file')
reader = reader_func(_ROOT_DIR, _RESULT_FILE)
track_list = reader.read_avg_track('test')
except KeyError:
msg = '不存在的key索引/时间超出范围'
except:
msg = '其他错误'
# TODO:[*] 20-01-17 此处注意一下，由于重新修改了序列化的原始data model 改为了mid model，mid model中缺少部分需要序列化的字段，序列化时会提示有错误，注意！
json_data = OilspillingAvgModelSerializer(track_list, many=True).data
return Response(json_data)
def get(self, request):
'''
根据指定 code 获取对应code对应的平均观测值的日期数组
:param request:
:return:
'''
code = request.GET.get('code', None)
list_avg = []
if code is not None:
reader_func = create_reader('file')
reader = reader_func(_ROOT_DIR, _RESULT_FILE)
list_avg = reader.read_date_range(code=code)
# TODO:[-] 20-01-21 不再使用数据库的读取这种方式，放在OilDbReader中
# 根据time去重
# list_avg = OilspillingAvgModel.objects(
# code=code).distinct(field='time')
# if len(list_avg) > 0:
# list_avg = list(set(list_avg))
# # 排序
# list_avg.sort()
temp = StartEndDateMidModel(list_avg[0], list_avg[-1])
return Response(StartEndDateMidModelSerializer(temp).data)
# return Response()
return Response('未填code', status=200)
def handle_default(self, msg: Msg):
'''
-3 存在读取获取每个时刻的均值
:param msg:
:return:
'''
# 获取目标路径
finial_file = msg.msg.other['finial_file']
# 使用xarray读取指定文件
# 直接调用 util.reader直接读取并写入数据库
reader_func = create_reader('file')
reader = reader_func(NC_OPTIONS['_ROOT_DIR'], NC_OPTIONS['_RESULT_FILE'])
track_list = reader.read_avg_track('test')
# 存入msg中
msg.msg.other['track_list'] = track_list
def get(self, request):
'''
获取指定时间的散点总数
:param request:
:return:
'''
target_date_str = request.GET.get('date', None)
code = request.GET.get('code', None)
target_date = dateutil.parser.parse(target_date_str)
if None in [target_date_str, code]:
return Response()
else:
reader_func = create_reader('file')
reader = reader_func(_ROOT_DIR, _RESULT_FILE)
return Response(reader.read_track_count(target_date))
def handle_read_nc(self, event: Event, **kwargs):
'''
-3 存在读取获取每个时刻的均值
:param msg:
:return:
'''
msg: Msg = kwargs.get('msg')
# 获取目标路径
finial_file = msg.msg.other['finial_file']
# 使用xarray读取指定文件
# 直接调用 util.reader直接读取并写入数据库
reader_func = create_reader('file')
reader = reader_func(msg.dir_path, msg.file_name)
track_list = reader.read_avg_track('test')
# 存入msg中
msg.msg.other['track_list'] = track_list
def get(self, request):
'''
根据指定的 date 获取该date的 所有溢油点
TODO:[*] 20-01-06 此处准备重写 若重写的话，不将oil对应的数据入库，数据库中只记录文件所在路径，直接读取文件获取对应的信息
:param request:
:return:
'''
# TODO:[*] 20-01-20 最新的设计想通过分批加载的方式解决加载较慢的问题
target_date_str = request.GET.get('date')
code = request.GET.get('code', None)
page_index = int(
request.GET.get('pageindex', PAGINATION['DEFAULT_INDEX']))
page_count = int(
request.GET.get('pagecount', PAGINATION['DEFAULT_COUNT']))
target_date_dt = dateutil.parser.parse(target_date_str)
oil_track_list = []
json_data = None
msg = 'no error'
if code is not None:
try:
reader_func = create_reader('file')
reader = reader_func(_ROOT_DIR, _RESULT_FILE)
oil_track_list = reader.read_current_track(
'test',
target_date_str,
page_index=page_index,
page_count=page_count)
# oil_track_list = OilSpillingModel.objects(
# code=code, time=target_date_dt)
json_data = OilSpillingTrackModelSerializer(oil_track_list,
many=True).data
except KeyError:
msg = '不存在的key索引/时间超出范围'
except:
msg = '其他错误'
# return Response(
# {
# 'data': json_data,
# 'error': msg
# }
# )
return Response(json_data)