def post(self):
try:
# get input data as json and read required fields
some_json = request.get_json()
lat = to_float(some_json['lat'], 'lat')
long = to_float(some_json['long'], 'long')
epoch = to_float(some_json['epoch'], 'epoch')
orientation = to_float(some_json['orientation'], 'orientation')
if (lat < 0 or lat > 90):
raise ValueError("ValueError: lat out of range = [0 to 90]")
elif (long < -180 or long > 180):
raise ValueError(
"ValueError: long out of range = [-180 to 180")
elif (orientation < -180 or orientation > 180):
raise ValueError(
"ValueError: orientation out of range = [-180 to 180]")
elif (epoch < 0):
raise ValueError(
"ValueError: epoch out of range = [epoch > 0]")
else:
# create objects
tz_utils = TimeZoneUtils()
date_utils = DateUtils(tz_utils)
coord_utils = CoordinationUtils(date_utils, lat, long, epoch,
orientation)
# compute glare and return results
return ({'glare': coord_utils.detect_glare()})
except Exception as e:
print(e)
return ({'Error': str(e)})
def main():
date_str = "2021-06-03 16:46:00"
du = DateUtils()
result = du.str_to_date(date_str)
print(result,
type(result)) # out: 2021-06-03 16:46:00 <class 'datetime.datetime'>
def print(self):
dateutil_obj = DateUtils()
for cpu_time in self.cpu_times_proto.cpu_times:
print("CPU Index: {}".format(cpu_time.cpu_index))
print("统计时间: {}".format(
dateutil_obj.timestamp_to_string(cpu_time.timestamp)))
print("用户进程耗时: {}(秒)".format(cpu_time.user_mode_time))
print("内核进程耗时: {}(秒)".format(cpu_time.kernel_mode_time))
print("CPU空闲时间: {}(秒)".format(cpu_time.idle_time))
def parse_log(self):
binning_index = {}
for FILE in self.files:
for line in open (FILE):
if re.match (r'^#', line):
continue
ts = line.split (self.field_seperator)[self.ts_col]
try:
current_index = self.dataset + '-' + DateUtils (ts, self.timeformat).get_binning_index ()
except:
current_index = ''
if current_index:
if current_index not in binning_index:
binning_index[current_index] = 1
else:
binning_index[current_index] = binning_index[current_index] + 1
return binning_index
