das-research/DAS/validator.py

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2022-11-30 14:28:27 +00:00
#!/bin/python3
import random
from DAS.block import *
class Validator:
ID = 0
chi = 0
format = {}
blocksize = 0
block = []
rowIDs = []
columnIDs = []
rows = []
columns = []
proposer = 0
failureRate = 0
logger = []
def __init__(self, ID, chi, blockSize, proposer, failureRate, deterministic, logger):
FORMAT = "%(levelname)s : %(entity)s : %(message)s"
self.ID = ID
self.format = {"entity": "Val "+str(self.ID)}
self.blockSize = blockSize
self.proposer = proposer
self.failureRate = failureRate
self.logger = logger
if chi < 1:
self.logger.error("Chi has to be greater than 0", extra=self.format)
elif chi > blockSize:
self.logger.error("Chi has to be smaller than %d" % blockSize, extra=self.format)
else:
self.chi = chi
self.rowIDs = []
self.columnIDs = []
if deterministic:
random.seed(self.ID)
self.rowIDs = random.sample(range(self.blockSize), self.chi)
self.columnIDs = random.sample(range(self.blockSize), self.chi)
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def logIDs(self):
if self.proposer == 1:
self.logger.warning("I am a block proposer."% self.ID)
else:
self.logger.debug("Selected rows: "+str(self.rowIDs), extra=self.format)
self.logger.debug("Selected columns: "+str(self.columnIDs), extra=self.format)
def initBlock(self):
self.logger.debug("I am a block proposer.", extra=self.format)
self.block = Block(self.blockSize)
self.block.fill()
#self.block.print()
def broadcastBlock(self, broadcasted):
if self.proposer == 0:
self.logger.error("I am NOT a block proposer", extra=self.format)
else:
self.logger.debug("Broadcasting my block...", extra=self.format)
tempBlock = self.block
order = [i for i in range(self.blockSize * self.blockSize)]
random.shuffle(order)
while(order):
i = order.pop()
if (random.randint(0,99) > self.failureRate):
broadcasted.data[i] = self.block.data[i]
#broadcasted.print()
def getColumn(self, columnID, broadcasted):
column = broadcasted.getColumn(columnID)
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self.columns.append(column)
def getRow(self, rowID, broadcasted):
row = broadcasted.getRow(rowID)
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self.rows.append(row)
def receiveRowsColumns(self, broadcasted):
self.rows = []
self.columns = []
if self.proposer == 1:
self.logger.error("I am a block proposer", extra=self.format)
else:
self.logger.debug("Receiving the data...", extra=self.format)
for r in self.rowIDs:
self.getRow(r, broadcasted)
for c in self.columnIDs:
self.getColumn(c, broadcasted)
def sendColumn(self, c, columnID, broadcasted):
column = [0] * self.blockSize
for i in range(self.blockSize):
if broadcasted.data[(i*self.blockSize)+columnID] == 0:
broadcasted.data[(i*self.blockSize)+columnID] = self.columns[c][i]
def sendRow(self, r, rowID, broadcasted):
for i in range(self.blockSize):
if broadcasted.data[(rowID*self.blockSize)+i] == 0:
broadcasted.data[(rowID*self.blockSize)+i] = self.rows[r][i]
def sendRows(self, broadcasted):
if self.proposer == 1:
self.logger.error("I am a block proposer", extra=self.format)
else:
self.logger.debug("Sending restored rows...", extra=self.format)
for r in range(len(self.rowIDs)):
self.sendRow(r, self.rowIDs[r], broadcasted)
def sendColumns(self, broadcasted):
if self.proposer == 1:
self.logger.error("I am a block proposer", extra=self.format)
else:
self.logger.debug("Sending restored columns...", extra=self.format)
for c in range(len(self.columnIDs)):
self.sendColumn(c, self.columnIDs[c], broadcasted)
def logRows(self):
self.logger.debug("Rows: "+str(self.rows), extra=self.format)
def logColumns(self):
self.logger.debug("Columns: "+str(self.columns), extra=self.format)
def checkRestoreRows(self, goldenData):
for rid in range(len(self.rows)):
row = self.rows[rid]
failures = 0
success = 0
for i in row:
if i == 0:
failures += 1
elif i > 0 and i < 10:
success += 1
else:
self.logger.error("Data has been corrupted")
if failures > 0:
if success >= len(row)/2:
for i in range(len(row)):
self.rows[rid][i] = goldenData[(self.rowIDs[rid]*self.blockSize)+i]
self.logger.debug("%d samples restored in row %d" % (failures, self.rowIDs[rid]), extra=self.format )
else:
self.logger.debug("Row %d cannot be restored" % (self.rowIDs[rid]), extra=self.format)
def checkRestoreColumns(self, goldenData):
for cid in range(len(self.columns)):
column = self.columns[cid]
failures = 0
success = 0
for i in column:
if i == 0:
failures += 1
elif i > 0 and i < 10:
success += 1
else:
self.logger.error("Data has been corrupted", extra=self.format)
if failures > 0:
if success >= len(column)/2:
for i in range(len(column)):
self.columns[cid][i] = goldenData[(i*self.blockSize)+self.columnIDs[cid]]
self.logger.debug("%d samples restored in column %d" % (failures, self.columnIDs[cid]), extra=self.format)
else:
self.logger.debug("Column %d cannot be restored" % (self.columnIDs[cid]), extra=self.format)