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trace_converter_manual.py
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"""
This is just an old backup module, that is able to convert manually created simulation traces.
It is not able to handle more than 9 nodes.
"""
import math
import os
class Event:
"""Class for events read from logs
Attributes:
signal: either Req or Ack
origin: either 0 for SUT or the number of a Env Node
target: either 0 for SUT or the number of a Env Node
ts: timestamp
type: either SUT or ENV, depending on origin
"""
def __init__(self, signal, origin, target, ts):
self.signal = signal
self.origin = origin
self.target = target
self.ts = ts
if self.origin in [0, '-']:
self.type = "SUT"
else:
self.type = "Env"
# debug printing
def __str__(self):
return "signal={0}, origin={1}, target={2}, timestamp={3}".format(str(self.signal), str(self.origin),
str(self.target), str(self.ts))
class Log:
"""Contains list of events
Attributes:
events: list of events from class Event
"""
def __init__(self):
self.events = []
# debug printing
def __str__(self):
ret = ""
for event in self.events:
ret += str(event) + "\n"
return ret
"""
Set these
"""
# number of Env nodes
node_count = 3
def mapping(number):
"""This is the chosen mapping between the values for the integers and their corresponding signal.
:param int number: number defined in the adjusted UPPAAL paper_system called paper_system_input
:return: signal used for learning process
:rtype: str
"""
signal = ""
# 8 types of signals
# if number == -1:
# return "Req10"
if number % 8 == 0:
return "Req" + str(math.floor(number / 8) + 1) + "0"
if number % 8 == 1:
return "Ack" + "0" + str(math.floor(number / 8) + 1)
if number % 8 in [2, 6, 7]:
return "Req" + "0" + str(math.floor(number / 8) + 1)
if number % 8 == 3:
return "Ack" + str(math.floor(number / 8) + 1) + "0"
if number % 8 == 4:
return "To" + str(math.floor(number / 8) + 1)
if number % 8 == 5:
return "To" + str(math.floor(number / 8) + 1)
return signal
def del_duplicates(arr):
"""Deletes every second line, as they are duplicates from UPPAAL simulation
:param list of Log arr: log list
:return: adjusted log list
:rtype: list of Log
"""
temp = []
for i in range(len(arr)):
if arr[i][1] != arr[i - 1][1]:
temp.append(arr[i])
return temp
# TODO: Not used anymore
def wanna_delete_double_to_log(log):
# print("deleting log")
for i, event in enumerate(log):
if mapping(log[i][1]) == "." and mapping(log[i - 1][1]) == ".":
return True
return False
sim_count = 0
with open("traces.txt", 'r') as trace_file:
lines = trace_file.readlines()
# save lines to array
lines = [line.rstrip() for line in lines]
# read number of simulations from first line
temp = lines[0]
sim_count = int(temp[temp.rfind("(") + 1:temp.rfind(")"):])
# drop first line
del lines[0]
trace_file.close()
logs = [[]]
i = -1
for line in lines:
if line[0] == "#":
logs.append([])
i += 1
logs[i].append(line)
del logs[-1]
# rearrange to logs
arranged_logs = [[]]
for i in range(sim_count - 1):
arranged_logs.append([])
for i in range(sim_count - 1):
for j in range(node_count):
arranged_logs[i] += logs[i + j * sim_count]
# for log in arranged_logs:
# print("--- log ---")
# for event in log:
# print(event)
logs = [[]]
for i in range(sim_count - 1):
logs.append([])
# round values to int
for index, log in enumerate(arranged_logs):
for id, event in enumerate(log):
# only keep useful lines
if event[0] != '#' and log[id - 1][0] != '#':
x, y = event.split(' ')
logs[index].append((round(float(x)), int(float(y))))
# for log in logs:
# print("--- log ---")
# for event in log:
# print(event)
# print results to separate text file for further workings
output = open("traces_output.txt", 'w')
log_number = 0
# delete duplicates
for index, log in enumerate(logs):
# drop the first one to do weird simulations by UPPAAL
if index > 0:
# log = list(dict.fromkeys(log))
log = del_duplicates(log)
# sort by time (first part of tuple)
log = sorted(log, key=lambda x: x[0])
# deleting all logs with two timeouts in a row
if not wanna_delete_double_to_log(log):
log_number += 1
output.write("log: " + str(log_number) + "\n")
for i, event in enumerate(log):
event_string = "<"
event_string += mapping(event[1]) + "," + str(event[0]) + ">"
output.write(str(event_string) + "\n")
output.close()
# Post output validations
# output = open("traces_output.txt", 'r')
# logs = []
# lines = [line.replace('\n', '').replace('<', '').replace('>', '') for line in output.readlines()]
#
# # TODO: This value is currently given
# nodes = 3
#
# for index, line in enumerate(lines):
# # line initializing new event feed for a log (log: x)
# if line[0] == "l":
# if index > 0 and skip_flag == False:
# logs.append(temp)
# temp = Log()
# skip_flag = False
# reqX0_present = []
# for i in range(nodes):
# reqX0_present.append(False)
# else:
# wholesignal, ts = line.split(',')
# ts = int(ts)
# # timeout represented by wildcard '.'
# if wholesignal != '.':
# # first 3 characters are Req or Ack
# signal = wholesignal[:3]
# origin = int(wholesignal[3])
# target = int(wholesignal[4])
# for i in range(nodes):
# if signal == "Req" and origin-1 == i:
# reqX0_present[i] = True
# elif (signal != "Req") and (target-1 == i or origin-1 == i) and (reqX0_present[i] == False):
# skip_flag = True
# else:
# signal = "."
# origin = ""
# target = ""
# temp.events.append(Event(signal, origin, target, ts))
#
# output.close()
# os.remove("traces_output.txt")
# output = open("traces_output.txt", 'w')
# log_number = 0
# for log in logs:
# log_number += 1
# output.write("log: " + str(log_number) + "\n")
# for i, event in enumerate(log.events):
# event_string = "<"
# event_string += event.signal + str(event.origin) + str(event.target) + "," + str(event.ts) + ">"
# output.write(str(event_string) + "\n")
# output.close()