continues_statistic reworked
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202
__init__.py
202
__init__.py
@ -8,71 +8,90 @@ logger = logging.getLogger(logger_name)
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class continues_statistic(dict):
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KEY_SINGLE_VALUE = '_'
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KEY_MEAN_VALUE = 'mean_val'
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KEY_MIN_VALUE = 'min_val'
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KEY_MAX_VALUE = 'max_val'
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KEY_NUM_VALUES = 'num_val'
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"""
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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)).
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"""
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def __init__(self, *args, **kwargs):
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if len(args) == 1 and isinstance(args[0], numbers.Number):
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dict.__init__(self)
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self[self.KEY_SINGLE_VALUE] = {
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self.KEY_MIN_VALUE: args[0],
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self.KEY_MEAN_VALUE: args[0],
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self.KEY_MAX_VALUE: args[0],
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self.KEY_NUM_VALUES: 1,
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}
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def __init__(self, mean=None, min_val=None, max_val=None, quantifier=None):
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dict.__init__(self)
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if mean is None:
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self.__init_data__(None, None, None, None)
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elif min_val is not None and max_val is not None and quantifier is not None:
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self.__init_data__(mean, min_val, max_val, quantifier)
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else:
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for key in kwargs:
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if isinstance(kwargs[key], numbers.Number):
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kwargs[key] = continues_statistic(kwargs[key])
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dict.__init__(self, *args, **kwargs)
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for key in self:
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if type(self[key]) is not continues_statistic:
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data = continues_statistic()
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if key == self.KEY_SINGLE_VALUE:
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data[self.KEY_SINGLE_VALUE] = self[key]
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else:
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data[self.KEY_SINGLE_VALUE] = self[key][self.KEY_SINGLE_VALUE]
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self[key] = data
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self.__init_data__(mean, mean, mean, 1)
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@property
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def __multivalue__(self):
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if len(self.keys()) == 0:
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raise AttributeError('No data stored in continues statistic')
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elif len(self.keys()) == 1:
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if list(self.keys())[0] != self.KEY_SINGLE_VALUE:
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raise AttributeError("The single value key needs to be %s." % self.KEY_SINGLE_VALUE)
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return False
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return True
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def __init_data__(self, mean, min_val, max_val, quantifier):
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self['quantifier'] = quantifier
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self['max_val'] = max_val
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self['min_val'] = min_val
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self['mean'] = mean
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def expand(self, value):
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if self['quantifier'] is None:
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self.__init_data__(value, value, value, 1)
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else:
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cs_sum = self + continues_statistic(value)
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for key in self:
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self[key] = cs_sum[key]
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def __add__(self, other):
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rv = continues_statistic(self)
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if self.__multivalue__:
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if self.__multivalue__ != other.__multivalue__ or self.keys() != other.keys():
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raise AttributeError("Instances are incompatible")
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else:
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for key in rv:
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rv[key] += other[key]
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else:
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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])
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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])
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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])
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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]
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rv = continues_statistic()
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rv['mean'] = (self.mean * self.quantifier + other.mean * other.quantifier) / (self.quantifier + other.quantifier)
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rv['min_val'] = min(self.min, other.min)
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rv['max_val'] = max(self.max, other.max)
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rv['quantifier'] = self.quantifier + other.quantifier
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return rv
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@property
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def mean(self):
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return self.get('mean')
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@property
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def min(self):
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return self.get('min_val')
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@property
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def max(self):
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return self.get('max_val')
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@property
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def quantifier(self):
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return self.get('quantifier')
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def pop(self):
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rv = continues_statistic(self.mean, self.min, self.max, self.quantifier)
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self.__init_data__(None, None, None, None)
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return rv
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def __str__(self):
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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)
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if self.__multivalue__:
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rv = ""
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for key in self:
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rv += key + ': ' + str(self[key]) + "\n"
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return "mean=%(mean)s, min=%(min_val)s, max=%(max_val)s, quantifier=%(quantifier)s" % self
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class continues_statistic_multivalue(dict):
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def __init__(self, **kwargs):
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dict.__init__(self)
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for key in kwargs:
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if type(kwargs[key]) is continues_statistic:
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self[key] = kwargs[key]
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elif type(kwargs[key]) is dict:
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self[key] = continues_statistic(**kwargs[key])
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else:
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self[key] = continues_statistic(kwargs[key])
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def expand(self, **kwargs):
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for key in kwargs:
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if key in self:
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self[key].expand(kwargs[key])
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else:
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self[key] = continues_statistic(kwargs[key])
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def pop(self, key=None):
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if key is None:
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rv = continues_statistic_multivalue(**self)
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self.clear()
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return rv
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else:
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return output_for_value % self[self.KEY_SINGLE_VALUE]
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return self[key].pop()
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def __str__(self):
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return '\n'.join([key + ': ' + str(self[key]) for key in self])
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class ringbuffer(list):
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@ -89,72 +108,3 @@ class ringbuffer(list):
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rv = list.append(self, *args, **kwargs)
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self.__reduce_list__()
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return rv
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class data_collector(object):
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def __init__(self, bufferlength, current_max_age=300.):
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self.__current_max_age__ = current_max_age
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self.__current_data_rinbuffer__ = ringbuffer(length=3)
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#
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self.__last_add_data__ = 0
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self.__continues_statistic__ = None
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self.__yesterdays_statistic__ = None
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self.__measurement_day__ = None
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#
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self.__ringbuffer__ = ringbuffer(length=bufferlength)
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def __process_continues_statistic__(self, **kwargs):
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# rotate continues_statistic day by day
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today = time.strftime('%Y' + os.path.sep + '%m' + os.path.sep + '%d')
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if self.__measurement_day__ is None:
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self.__measurement_day__ = today
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if self.__measurement_day__ != today:
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self.__yesterdays_statistic__ = self.__continues_statistic__
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self.__continues_statistic__ = None
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self.__measurement_day__ = None
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# Set or update continues statistic
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if self.__continues_statistic__ is None:
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self.__continues_statistic__ = continues_statistic(**kwargs)
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else:
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self.__continues_statistic__ += continues_statistic(**kwargs)
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def add_data(self, **kwargs):
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logger.debug('Got data %s', repr(kwargs))
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self.__last_add_data__ = time.time()
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self.__current_data_rinbuffer__.append(kwargs)
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self.__process_continues_statistic__(**kwargs)
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self.__ringbuffer__.append(kwargs)
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@property
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def current(self):
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if len(self.__current_data_rinbuffer__) == 0:
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logger.info('No data available, yet.')
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return None
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elif time.time() > self.__last_add_data__ + self.__current_max_age__:
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logger.info('Data max age reached. No current data available.')
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return None
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elif len(self.__current_data_rinbuffer__) < 3:
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return self.__current_data_rinbuffer__[-1]
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else:
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rv = {}
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for key in self.__current_data_rinbuffer__[0]:
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data = []
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for entry in self.__current_data_rinbuffer__:
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data.append(entry[key])
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else:
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data.sort()
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rv[key] = data[1]
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return rv
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@property
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def todays_statistic(self):
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return self.__continues_statistic__
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@property
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def yesterdays_statistic(self):
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return self.__yesterdays_statistic__
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@property
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def databuffer(self):
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return self.__ringbuffer__[:]
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