Restructure package
This commit is contained in:
Leonardo Bautista-Gomez
parent
6cbe751b84
commit
0c79ddbf6f
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from DAS.simulator import *
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#!/bin/python3
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import random
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class Block:
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blockSize = 0
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data = []
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def __init__(self, size):
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self.blockSize = size
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self.data = [0] * (self.blockSize*self.blockSize)
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def fill(self):
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for i in range(self.blockSize*self.blockSize):
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self.data[i] = random.randint(1, 9)
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def print(self):
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dash = "-" * (self.blockSize+2)
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print(dash)
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for i in range(self.blockSize):
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line = "|"
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for j in range(self.blockSize):
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line += "%i" % self.data[(i*self.blockSize)+j]
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print(line+"|")
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print(dash)
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#!/bin/python3
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from DAS.block import *
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class Observer:
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block = []
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blockSize = 0
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rows = []
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columns = []
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goldenData = []
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broadcasted = []
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logger = []
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def __init__(self, blockSize, logger):
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self.format = {"entity": "Observer"}
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self.blockSize = blockSize
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self.logger = logger
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def reset(self):
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self.block = [0] * self.blockSize * self.blockSize
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self.goldenData = [0] * self.blockSize * self.blockSize
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self.rows = [0] * self.blockSize
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self.columns = [0] * self.blockSize
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self.broadcasted = Block(self.blockSize)
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def checkRowsColumns(self, validators):
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for val in validators:
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if val.proposer == 0:
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for r in val.rowIDs:
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self.rows[r] += 1
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for c in val.columnIDs:
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self.columns[c] += 1
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for i in range(self.blockSize):
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self.logger.debug("Row/Column %d have %d and %d validators assigned." % (i, self.rows[i], self.columns[i]), extra=self.format)
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if self.rows[i] == 0 or self.columns[i] == 0:
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self.logger.warning("There is a row/column that has not been assigned", extra=self.format)
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def setGoldenData(self, block):
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for i in range(self.blockSize*self.blockSize):
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self.goldenData[i] = block.data[i]
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def checkBroadcasted(self):
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zeros = 0
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for i in range(self.blockSize * self.blockSize):
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if self.broadcasted.data[i] == 0:
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zeros += 1
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if zeros > 0:
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self.logger.debug("There are %d missing samples in the network" % zeros, extra=self.format)
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return zeros
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#!/bin/python
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import logging
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from datetime import datetime
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from DAS.tools import *
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from DAS.observer import *
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from DAS.validator import *
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class Simulator:
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chi = 8
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blockSize = 256
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numberValidators = 8192
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failureRate = 0
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proposerID = 0
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logLevel = logging.INFO
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deterministic = 0
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validators = []
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glob = []
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logger = []
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format = {}
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steps = 0
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def __init__(self, failureRate):
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self.failureRate = failureRate
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self.format = {"entity": "Simulator"}
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self.steps = 0
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def initValidators(self):
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if not self.deterministic:
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random.seed(datetime.now())
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self.glob = Observer(self.blockSize, self.logger)
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self.glob.reset()
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self.validators = []
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for i in range(self.numberValidators):
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val = Validator(i, self.chi, self.blockSize, int(not i!=0), self.failureRate, self.deterministic, self.logger)
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if i == self.proposerID:
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val.initBlock()
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self.glob.setGoldenData(val.block)
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else:
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val.logIDs()
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self.validators.append(val)
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def initLogger(self):
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logger = logging.getLogger("DAS")
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logger.setLevel(self.logLevel)
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ch = logging.StreamHandler()
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ch.setLevel(self.logLevel)
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ch.setFormatter(CustomFormatter())
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logger.addHandler(ch)
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self.logger = logger
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def resetFailureRate(self, failureRate):
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self.failureRate = failureRate
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def run(self):
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self.glob.checkRowsColumns(self.validators)
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self.validators[self.proposerID].broadcastBlock(self.glob.broadcasted)
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missingSamples = self.glob.checkBroadcasted()
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self.steps = 0
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while(missingSamples > 0):
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oldMissingSamples = missingSamples
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self.logger.debug("Step %d:" % self.steps, extra=self.format)
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for i in range(1,self.numberValidators):
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self.validators[i].receiveRowsColumns(self.glob.broadcasted)
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#Rows
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self.validators[i].checkRestoreRows(self.glob.goldenData)
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self.validators[i].sendRows(self.glob.broadcasted)
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self.validators[i].logRows()
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self.validators[i].logColumns()
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# Columns
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self.validators[i].checkRestoreColumns(self.glob.goldenData)
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self.validators[i].sendColumns(self.glob.broadcasted)
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self.validators[i].logRows()
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self.validators[i].logColumns()
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missingSamples = self.glob.checkBroadcasted()
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if missingSamples == oldMissingSamples:
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break
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elif missingSamples == 0:
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break
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else:
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self.steps += 1
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if missingSamples == 0:
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self.logger.debug("The entire block is available at step %d, with failure rate %d !" % (self.steps, self.failureRate), extra=self.format)
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return 0
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else:
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self.logger.debug("The block cannot be recovered, failure rate %d!" % self.failureRate, extra=self.format)
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return 1
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#!/bin/python3
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import logging
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class CustomFormatter(logging.Formatter):
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blue = "\x1b[34;20m"
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grey = "\x1b[38;20m"
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yellow = "\x1b[33;20m"
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red = "\x1b[31;20m"
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bold_red = "\x1b[31;1m"
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reset = "\x1b[0m"
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format = "%(levelname)s : %(entity)s : %(message)s"
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FORMATS = {
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logging.DEBUG: grey + format + reset,
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logging.INFO: blue + format + reset,
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logging.WARNING: yellow + format + reset,
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logging.ERROR: red + format + reset,
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logging.CRITICAL: bold_red + format + reset
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}
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def format(self, record):
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log_fmt = self.FORMATS.get(record.levelno)
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formatter = logging.Formatter(log_fmt)
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return formatter.format(record)
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#!/bin/python3
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import random
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from DAS.block import *
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class Validator:
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ID = 0
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chi = 0
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format = {}
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blocksize = 0
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block = []
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rowIDs = []
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columnIDs = []
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rows = []
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columns = []
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proposer = 0
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failureRate = 0
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logger = []
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def __init__(self, ID, chi, blockSize, proposer, failureRate, deterministic, logger):
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FORMAT = "%(levelname)s : %(entity)s : %(message)s"
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self.ID = ID
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self.format = {"entity": "Val "+str(self.ID)}
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self.blockSize = blockSize
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self.proposer = proposer
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self.failureRate = failureRate
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self.logger = logger
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if chi < 1:
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self.logger.error("Chi has to be greater than 0", extra=self.format)
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elif chi > blockSize:
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self.logger.error("Chi has to be smaller than %d" % blockSize, extra=self.format)
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else:
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self.chi = chi
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self.rowIDs = []
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self.columnIDs = []
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if deterministic:
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random.seed(self.ID)
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lr = [i for i in range(self.blockSize)]
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lc = [i for i in range(self.blockSize)]
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random.shuffle(lr)
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random.shuffle(lc)
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for i in range(self.chi): # TODO : Avoid doubles
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self.rowIDs.append(lr.pop())
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self.columnIDs.append(lc.pop())
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def logIDs(self):
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if self.proposer == 1:
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self.logger.warning("I am a block proposer."% self.ID)
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else:
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self.logger.debug("Selected rows: "+str(self.rowIDs), extra=self.format)
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self.logger.debug("Selected columns: "+str(self.columnIDs), extra=self.format)
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def initBlock(self):
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self.logger.debug("I am a block proposer.", extra=self.format)
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self.block = Block(self.blockSize)
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self.block.fill()
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#self.block.print()
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def broadcastBlock(self, broadcasted):
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if self.proposer == 0:
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self.logger.error("I am NOT a block proposer", extra=self.format)
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else:
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self.logger.debug("Broadcasting my block...", extra=self.format)
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tempBlock = self.block
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order = [i for i in range(self.blockSize * self.blockSize)]
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random.shuffle(order)
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while(order):
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i = order.pop()
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if (random.randint(0,99) > self.failureRate):
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broadcasted.data[i] = self.block.data[i]
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#broadcasted.print()
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def getColumn(self, columnID, broadcasted):
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column = [0] * self.blockSize
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for i in range(self.blockSize):
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column[i] = broadcasted.data[(i*self.blockSize)+columnID]
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self.columns.append(column)
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def getRow(self, rowID, broadcasted):
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row = [0] * self.blockSize
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for i in range(self.blockSize):
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row[i] = broadcasted.data[(rowID*self.blockSize)+i]
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self.rows.append(row)
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def receiveRowsColumns(self, broadcasted):
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self.rows = []
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self.columns = []
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if self.proposer == 1:
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self.logger.error("I am a block proposer", extra=self.format)
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else:
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self.logger.debug("Receiving the data...", extra=self.format)
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for r in self.rowIDs:
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self.getRow(r, broadcasted)
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for c in self.columnIDs:
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self.getColumn(c, broadcasted)
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def sendColumn(self, c, columnID, broadcasted):
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column = [0] * self.blockSize
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for i in range(self.blockSize):
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if broadcasted.data[(i*self.blockSize)+columnID] == 0:
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broadcasted.data[(i*self.blockSize)+columnID] = self.columns[c][i]
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def sendRow(self, r, rowID, broadcasted):
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for i in range(self.blockSize):
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if broadcasted.data[(rowID*self.blockSize)+i] == 0:
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broadcasted.data[(rowID*self.blockSize)+i] = self.rows[r][i]
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def sendRows(self, broadcasted):
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if self.proposer == 1:
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self.logger.error("I am a block proposer", extra=self.format)
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else:
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self.logger.debug("Sending restored rows...", extra=self.format)
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for r in range(len(self.rowIDs)):
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self.sendRow(r, self.rowIDs[r], broadcasted)
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def sendColumns(self, broadcasted):
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if self.proposer == 1:
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self.logger.error("I am a block proposer", extra=self.format)
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else:
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self.logger.debug("Sending restored columns...", extra=self.format)
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for c in range(len(self.columnIDs)):
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self.sendColumn(c, self.columnIDs[c], broadcasted)
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def logRows(self):
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self.logger.debug("Rows: "+str(self.rows), extra=self.format)
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def logColumns(self):
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self.logger.debug("Columns: "+str(self.columns), extra=self.format)
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def checkRestoreRows(self, goldenData):
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for rid in range(len(self.rows)):
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row = self.rows[rid]
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failures = 0
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success = 0
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for i in row:
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if i == 0:
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failures += 1
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elif i > 0 and i < 10:
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success += 1
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else:
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self.logger.error("Data has been corrupted")
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if failures > 0:
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if success >= len(row)/2:
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for i in range(len(row)):
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self.rows[rid][i] = goldenData[(self.rowIDs[rid]*self.blockSize)+i]
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self.logger.debug("%d samples restored in row %d" % (failures, self.rowIDs[rid]), extra=self.format )
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else:
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self.logger.debug("Row %d cannot be restored" % (self.rowIDs[rid]), extra=self.format)
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def checkRestoreColumns(self, goldenData):
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for cid in range(len(self.columns)):
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column = self.columns[cid]
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failures = 0
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success = 0
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for i in column:
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if i == 0:
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failures += 1
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elif i > 0 and i < 10:
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success += 1
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else:
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self.logger.error("Data has been corrupted", extra=self.format)
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if failures > 0:
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if success >= len(column)/2:
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for i in range(len(column)):
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self.columns[cid][i] = goldenData[(i*self.blockSize)+self.columnIDs[cid]]
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self.logger.debug("%d samples restored in column %d" % (failures, self.columnIDs[cid]), extra=self.format)
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else:
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self.logger.debug("Column %d cannot be restored" % (self.columnIDs[cid]), extra=self.format)
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@ -0,0 +1,35 @@
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#! /bin/python3
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import time
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from DAS import *
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def study():
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sim = Simulator(0)
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sim.initLogger()
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maxTries = 2
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step = 25
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frRange = []
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resultRange = []
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simCnt = 0
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sim.logger.info("Starting simulations:", extra=sim.format)
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start = time.time()
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for fr in range(0, 100, step):
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if fr % 10 == 0:
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sim.logger.info("Failure rate %d %% ..." % fr, extra=sim.format)
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sim.resetFailureRate(fr)
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result = 0
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for i in range(maxTries):
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sim.initValidators()
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result += sim.run()
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simCnt += 1
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frRange.append(fr)
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resultRange.append(100-result)
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end = time.time()
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sim.logger.info("A total of %d simulations ran in %d seconds" % (simCnt, end-start), extra=sim.format)
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for i in range(len(frRange)):
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sim.logger.info("For failure rate of %d we got %d %% success rate in DAS!" % (frRange[i], resultRange[i]), extra=sim.format)
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study()
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