#!/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) 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) self.columns.append(column) def getRow(self, rowID, broadcasted): row = broadcasted.getRow(rowID) 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)