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analytics.py
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analytics.py
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import time
import dataclasses
from typing import NamedTuple
def nsTOms(ns):
return round(ns / 1000000)
def nsTOs(ns):
return round((ns / 1000000) / 1000)
def nsTos_v2(ns):
return round(ns / 1e9)
class FixedSizeList():
def __init__(self, size):
self.size = size
self.data = []
def __repr__(self):
result = f'[{",".join(self.data)}]'
return result
def append(self, item):
if len(self.data) == self.size:
self.data.pop(self.size - 1 )
self.data.insert(0, item)
def diff_between_current_and_most_recent_value(self):
if len(self.data) == 0:
return 0
elif len(self.data) == 1:
return self.data[0]
else:
if self.data[0] > self.data[1]:
return self.data[0] - self.data[1]
elif self.data[0] < self.data[1]:
return self.data[1] - self.data[0]
else:
return 0
def diff_between_current_and_oldest_value(self):
if len(self.data) == 0:
return 0
elif len(self.data) == 1:
return self.data[0]
else:
oldest_index = len(self.data) - 1
if self.data[0] > self.data[oldest_index]:
return self.data[0] - self.data[oldest_index]
elif self.data[0] < self.data[oldest_index]:
return self.data[oldest_index] - self.data[0]
else:
return 0
def calculate_avg(self):
if len(self.data) == 0:
return None
elif len(self.data) == 1:
return self.data[0]
else:
result = 0
for i in range(0, len(self.data)):
result += self.data[i]
result = result / len(self.data)
return result
class FixedTimeSizeList():
def __init__(self, timeWindowIn_ms):
self.data = []
self.beat = 0
self.size = None
self.avgSize = None
self.phase = 0
self.beatTime = time.time_ns()
self.timeWindowIn_ns = timeWindowIn_ms * 1000000
self.sizesList = FixedSizeList(5)
self.beatTotalTime = 0
self.bufferStartTime = time.time_ns()
self.bufferTotalTime = 0
def __repr__(self):
self.expire_data()
result = ""
for item, timestamp in self.data:
if not result:
result = f'[{item}'
else:
result += f', {item}'
if result:
result += "]"
else:
result = "[]"
return result
def expire_data(self):
data_expired = False
last_index = len(self.data) - 1
while True:
if last_index <= -1:
break
item, timestamp = self.data[last_index]
if time.time_ns() > timestamp + self.timeWindowIn_ns + 100:
data_expired = True
self.data.pop(last_index)
last_index -= 1
last_index -= 1
if data_expired:
self.sizesList.append(len(self.data))
def current_size(self):
self.expire_data()
return len(self.data)
def avg_size(self):
result = self.sizesList.calculate_avg()
self.expire_data()
return result
def populate_list(self):
result = []
for value, timestamp in self.data:
result.append(value)
return result
def append(self, item):
timestamp = time.time_ns()
data = self.populate_list()
if data:
max_value = max(data)
min_value = min(data)
last_value = data[len(data) -1]
if item == 0 and last_value != 0:
self.beat += 1
self.phase = 0
self.beatTotalTime = 0
self.beatTime = time.time_ns()
elif item == 0 and last_value == 0:
pass
elif item > 0:
self.beatTime += 1
#if time.time_ns() > timestamp + self.timeWindowIn_ns
aaa = """
if min_value >= 0:
if last_value == min_value:
if item > last_value >= max_value:
#if item >= min_value
self.phase = 0
#elif last_value <= min_value:
# if last_value == item:
# self.phase = 0
elif last_value < item:
#if last_value == item:
self.phase += 1
#elif last_value != item < 0:
# #if last_value == item:
# self.phase += 1
elif min_value < 0:
if last_value == min_value:
if last_value != item > 0:
#if item >= min_value
self.phase = 0
#elif last_value <= min_value:
# if last_value == item:
# self.phase = 0
elif last_value != item:
#if last_value == item:
self.phase += 1
if self.phase >= 16:
self.phase = 0
#elif last_value <= min_value:
# if last_value < item:
# if item >= min_value:
# self.phase = 0
##elif last_value > min_value:
## if last_value > item:
# self.phase += 1
"""
self.data.insert(0, (item, timestamp))
self.expire_data()
def diff_between_current_and_most_recent_value(self):
if len(self.data) == 0:
return 0
elif len(self.data) == 1:
return self.data[0][0]
else:
#if self.data[0][0] > self.data[1][0]:
return self.data[0][0] - self.data[1][0]
#elif self.data[0][0] < self.data[1][0]:
# return self.data[1][0] - self.data[0][0]
#else:
# return 0
def diff_between_current_and_oldest_value(self):
if len(self.data) == 0:
return 0
elif len(self.data) == 1:
return self.data[0][0]
else:
oldest_index = len(self.data) - 1
if self.data[0][0] > self.data[oldest_index][0]:
return self.data[0][0] - self.data[oldest_index][0]
elif self.data[0][0] < self.data[oldest_index][0]:
return self.data[oldest_index][0] - self.data[0][0]
else:
return 0
def get_ratio(self):
if len(self.data) == 0:
return 0
elif len(self.data) == 1:
return self.data[0][0]
else:
oldest_index = len(self.data) - 1
if self.data[0][0] > self.data[oldest_index][0]:
return self.data[0][0] / self.data[oldest_index][0]
elif self.data[0][0] < self.data[oldest_index][0]:
return self.data[oldest_index][0] / self.data[0][0]
else:
return 0
def print_all_unique(self):
self.expire_data()
result = set()
for value,name in self.data:
result.add(str(value))
return ",".join(list(result))
def print_all_values(self):
result = []
for value,name in self.data:
result.append(str(value))
self.expire_data()
#
return result
# return ",".join(result)
def calculate_avg(self):
if len(self.data) == 0:
return 0
elif len(self.data) == 1:
return self.data[0][0]
else:
result = 0
for i in range(0, len(self.data)):
result += self.data[i][0]
result = result / len(self.data)
return result
class BeatBuffer():
def __init__(self):
self.data = []
self.beat = 0
self.size = None
self.avgSize = None
self.phase = 0
self.beatTime = time.time_ns()
self.sizesList = FixedSizeList(5)
self.beatTotalTime = 0
self.bufferStartTime = time.time_ns()
self.bufferTotalTime = 0
self.phase_data = 0
def __repr__(self):
self.expire_data()
result = ""
for item, timestamp in self.data:
if not result:
result = f'[{item}'
else:
result += f', {item}'
if result:
result += "]"
else:
result = "[]"
return result
def phase(self, beats,quantum):
#if quantum == Beats{INT64_C(0)})
pass
def expire_data(self):
data_expired = False
last_index = len(self.data) - 1
item, timestamp = self.data[last_index]
if time.time_ns() > timestamp + item + 1:
if len(self.data) > 2:
#data_expired = True
self.data.pop(last_index)
last_index -= 1
self.phase_data += 1
self.sizesList.append(len(self.data))
# def expire_data(self):
# data_expired = False
# last_index = len(self.data) - 1
# while True:
# if last_index <= -1:
# break
# item, timestamp = self.data[last_index]
# if time.time_ns() > timestamp + self.timeWindowIn_ns + 100:
# data_expired = True
# self.data.pop(last_index)
# last_index -= 1
# last_index -= 1
# if data_expired:
# self.sizesList.append(len(self.data))
def current_size(self):
self.expire_data()
return len(self.data)
def avg_size(self):
result = self.sizesList.calculate_avg()
self.expire_data()
return result
def populate_list(self):
result = []
for value, timestamp in self.data:
result.append(value)
return result
def append(self, item):
timestamp = time.time_ns()
data = self.populate_list()
if data:
max_value = max(data)
min_value = min(data)
last_value = data[len(data) -1]
if item == 0 and last_value != 0:
self.beat += 1
self.phase = 0
self.beatTotalTime = 0
self.beatTime = time.time_ns()
elif item == 0 and last_value == 0:
pass
#elif item > 0:
# self.beatTime
#if time.time_ns() > timestamp + self.timeWindowIn_ns
self.data.insert(0, (item, timestamp))
self.expire_data()
def diff_between_current_and_most_recent_value(self):
if len(self.data) == 0:
return 0
elif len(self.data) == 1:
return self.data[0][0]
else:
#if self.data[0][0] > self.data[1][0]:
return self.data[0][0] - self.data[1][0]
#elif self.data[0][0] < self.data[1][0]:
# return self.data[1][0] - self.data[0][0]
#else:
# return 0
def diff_between_current_and_oldest_value(self):
if len(self.data) == 0:
return 0
elif len(self.data) == 1:
return self.data[0][0]
else:
oldest_index = len(self.data) - 1
if self.data[0][0] > self.data[oldest_index][0]:
return self.data[0][0] - self.data[oldest_index][0]
elif self.data[0][0] < self.data[oldest_index][0]:
return self.data[oldest_index][0] - self.data[0][0]
else:
return 0
def get_ratio(self):
if len(self.data) == 0:
return 0
elif len(self.data) == 1:
return self.data[0][0]
else:
oldest_index = len(self.data) - 1
if self.data[0][0] > self.data[oldest_index][0]:
return self.data[0][0] / self.data[oldest_index][0]
elif self.data[0][0] < self.data[oldest_index][0]:
return self.data[oldest_index][0] / self.data[0][0]
else:
return 0
def print_all_unique(self):
self.expire_data()
result = set()
for value,name in self.data:
result.add(str(value))
return ",".join(list(result))
def print_all_values(self):
result = []
for value,name in self.data:
result.append(str(nsTOms(value)))
self.expire_data()
#
return result
# return ",".join(result)
def calculate_avg(self):
if len(self.data) == 0:
return 0
elif len(self.data) == 1:
return self.data[0][0]
else:
result = 0
for i in range(0, len(self.data)):
result += self.data[i][0]
result = result / len(self.data)
return result