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helpers/__init__.py

161 Zeilen
6.4 KiB
Python

import logging
import numbers
import os
import time
logger_name = 'HELPERS'
logger = logging.getLogger(logger_name)
class continues_statistic(dict):
KEY_SINGLE_VALUE = '_'
KEY_MEAN_VALUE = 'mean_val'
KEY_MIN_VALUE = 'min_val'
KEY_MAX_VALUE = 'max_val'
KEY_NUM_VALUES = 'num_val'
"""
Value can be a single single numeric value: continues_statistic(num) or multivalue statistic: continues_statistic(val_a=continues_statistic(num_a), val_b=continues_statistic(num_b)).
"""
def __init__(self, *args, **kwargs):
if len(args) == 1 and isinstance(args[0], numbers.Number):
dict.__init__(self)
self[self.KEY_SINGLE_VALUE] = {
self.KEY_MIN_VALUE: args[0],
self.KEY_MEAN_VALUE: args[0],
self.KEY_MAX_VALUE: args[0],
self.KEY_NUM_VALUES: 1,
}
else:
for key in kwargs:
if isinstance(kwargs[key], numbers.Number):
kwargs[key] = continues_statistic(kwargs[key])
dict.__init__(self, *args, **kwargs)
for key in self:
if type(self[key]) is not continues_statistic:
data = continues_statistic()
if key == self.KEY_SINGLE_VALUE:
data[self.KEY_SINGLE_VALUE] = self[key]
else:
data[self.KEY_SINGLE_VALUE] = self[key][self.KEY_SINGLE_VALUE]
self[key] = data
@property
def __multivalue__(self):
if len(self.keys()) == 0:
raise AttributeError('No data stored in continues statistic')
elif len(self.keys()) == 1:
if list(self.keys())[0] != self.KEY_SINGLE_VALUE:
raise AttributeError("The single value key needs to be %s." % self.KEY_SINGLE_VALUE)
return False
return True
def __add__(self, other):
rv = continues_statistic(self)
if self.__multivalue__:
if self.__multivalue__ != other.__multivalue__ or self.keys() != other.keys():
raise AttributeError("Instances are incompatible")
else:
for key in rv:
rv[key] += other[key]
else:
rv[self.KEY_SINGLE_VALUE][self.KEY_MEAN_VALUE] = (self[self.KEY_SINGLE_VALUE][self.KEY_MEAN_VALUE] * self[self.KEY_SINGLE_VALUE][self.KEY_NUM_VALUES] + other[self.KEY_SINGLE_VALUE][self.KEY_MEAN_VALUE] * other[self.KEY_SINGLE_VALUE][self.KEY_NUM_VALUES]) / (self[self.KEY_SINGLE_VALUE][self.KEY_NUM_VALUES] + other[self.KEY_SINGLE_VALUE][self.KEY_NUM_VALUES])
rv[self.KEY_SINGLE_VALUE][self.KEY_MIN_VALUE] = min(self[self.KEY_SINGLE_VALUE][self.KEY_MIN_VALUE], other[self.KEY_SINGLE_VALUE][self.KEY_MIN_VALUE])
rv[self.KEY_SINGLE_VALUE][self.KEY_MAX_VALUE] = max(self[self.KEY_SINGLE_VALUE][self.KEY_MAX_VALUE], other[self.KEY_SINGLE_VALUE][self.KEY_MAX_VALUE])
rv[self.KEY_SINGLE_VALUE][self.KEY_NUM_VALUES] = self[self.KEY_SINGLE_VALUE][self.KEY_NUM_VALUES]+other[self.KEY_SINGLE_VALUE][self.KEY_NUM_VALUES]
return rv
def __str__(self):
output_for_value = "mean=%%(%s)s, min=%%(%s)s, max=%%(%s)s, num=%%(%s)s" % (self.KEY_MEAN_VALUE, self.KEY_MIN_VALUE, self.KEY_MAX_VALUE, self.KEY_NUM_VALUES)
if self.__multivalue__:
rv = ""
for key in self:
rv += key + ': ' + str(self[key]) + "\n"
return rv
else:
return output_for_value % self[self.KEY_SINGLE_VALUE]
class ringbuffer(list):
def __init__(self, *args, **kwargs):
self.__max_length__ = kwargs.pop('length')
list.__init__(self, *args, **kwargs)
self.__reduce_list__()
def __reduce_list__(self):
while len(self) > self.__max_length__:
self.pop(0)
def append(self, *args, **kwargs):
rv = list.append(self, *args, **kwargs)
self.__reduce_list__()
return rv
class data_collector(object):
def __init__(self, bufferlength, current_max_age=300.):
self.__current_max_age__ = current_max_age
self.__current_data_rinbuffer__ = ringbuffer(length=3)
#
self.__last_add_data__ = 0
self.__continues_statistic__ = None
self.__yesterdays_statistic__ = None
self.__measurement_day__ = None
#
self.__ringbuffer__ = ringbuffer(length=bufferlength)
def __process_continues_statistic__(self, **kwargs):
# rotate continues_statistic day by day
today = time.strftime('%Y' + os.path.sep + '%m' + os.path.sep + '%d')
if self.__measurement_day__ is None:
self.__measurement_day__ = today
if self.__measurement_day__ != today:
self.__yesterdays_statistic__ = self.__continues_statistic__
self.__continues_statistic__ = None
self.__measurement_day__ = None
# Set or update continues statistic
if self.__continues_statistic__ is None:
self.__continues_statistic__ = continues_statistic(**kwargs)
else:
self.__continues_statistic__ += continues_statistic(**kwargs)
def add_data(self, **kwargs):
logger.debug('Got data %s', repr(kwargs))
self.__last_add_data__ = time.time()
self.__current_data_rinbuffer__.append(kwargs)
self.__process_continues_statistic__(**kwargs)
self.__ringbuffer__.append(kwargs)
@property
def current(self):
if len(self.__current_data_rinbuffer__) == 0:
logger.info('No data available, yet.')
return None
elif time.time() > self.__last_add_data__ + self.__current_max_age__:
logger.info('Data max age reached. No current data available.')
return None
elif len(self.__current_data_rinbuffer__) < 3:
return self.__current_data_rinbuffer__[-1]
else:
rv = {}
for key in self.__current_data_rinbuffer__[0]:
data = []
for entry in self.__current_data_rinbuffer__:
data.append(entry[key])
else:
data.sort()
rv[key] = data[1]
return rv
@property
def todays_statistic(self):
return self.__continues_statistic__
@property
def yesterdays_statistic(self):
return self.__yesterdays_statistic__
@property
def databuffer(self):
return self.__ringbuffer__[:]