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temp.R
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setwd('C:\\Users\\e6on6gv\\Documents\\GitHub\\RSkillBasedRoutingSimulation')
source('SBR.simulation.R')
source('generate.tasks.R')
library(tictoc)
library(parallel)
skills <- c('ZoneA','ZoneB','ZoneD','ZoneE','ZoneG','ZoneGov','ZoneI','ZoneM','ZoneQ','ZoneR','ZoneS','ZoneV')
ofr <- data.frame(skill=c('ZoneA','ZoneB','ZoneD','ZoneE','ZoneG','ZoneGov','ZoneI','ZoneM','ZoneQ','ZoneR','ZoneS','ZoneV','ZoneAOverflow','ZoneBOverflow','ZoneDOverflow','ZoneEOverflow','ZoneGOverflow','ZoneROverflow','ZoneVOverflow')
,overflow.skill=c('ZoneAOverflow','ZoneBOverflow','ZoneDOverflow','ZoneEOverflow','ZoneGOverflow','ZoneGovOverflow','ZoneIOverflow','ZoneMOverflow','ZoneQOverflow','ZoneROverflow','ZoneSOverflow','ZoneVOverflow','DeptSouthOverflow','DeptSouthOverflow','DeptSouthOverflow','DeptNorthOverflow','DeptNorthOverflow','DeptNorthOverflow','DeptNorthOverflow')
,threshold=c(40,40,40,40,40,40,40,40,40,40,40,40,20,20,20,20,20,20,20)
,stringsAsFactors = FALSE
)
dists <- read.csv(file='C:\\Users\\e6on6gv\\Documents\\Optimization\\DISTS.CSV', fileEncoding = 'UTF-8-BOM')
dists$zone1 <- as.character(dists$zone1)
servers <- read.csv(file='C:\\Users\\e6on6gv\\Documents\\Optimization\\AGENTS.CSV', fileEncoding = 'UTF-8-BOM')
servers$server_id <- servers$ResourceLoginID
servers$date <- as.Date(servers$date, format='%d%b%Y')
realdata <- read.csv(file='C:\\Users\\e6on6gv\\Documents\\Optimization\\QUEUESTATES.CSV', fileEncoding = 'UTF-8-BOM')
realdata$date <- as.Date(realdata$date, format='%d%b%Y')
realdata$zone1 <- as.character(realdata$zone1)
date <- as.Date('2016-10-4')
hour <- 12
warmup <- 0.4
set.seed(43)
tasks <- generate.tasks(skill.names=dists[dists$hour==hour, 'zone1']
,iat.shapes=dists[dists$hour==hour, 'iat_Shape']
,iat.scales=dists[dists$hour==hour, 'iat_Scale']
,serv.shapes=dists[dists$hour==hour, 'talk_Shape']
,serv.scales=dists[dists$hour==hour, 'talk_Scale']
,warmup=0.4
,duration=3600)
servers <- servers[servers$hour==hour & servers$date==date,]
overflow <- ofr
# qmodel <- SBR.simulation(tasks=tasks, servers=servers[servers$hour==hour & servers$date==date,], overflow=ofr, warmup=0.4, plots=FALSE)
tasks$dequeue.time=NA
tasks$dequeue.skill=''
tasks$server_id=''
tasks$release.time=NA
tasks$waiting.time=NA
#add iat within skill
tasks <- tasks[order(tasks$skill, tasks$arrival.time),]
tasks$iat.by.skill <- c(tasks[1,'arrival.time'],sapply(2:nrow(tasks), function(x) {if(tasks[x-1,'skill']==tasks[x,'skill']){tasks[x,'arrival.time']-tasks[x-1,'arrival.time']} else tasks[x,'arrival.time']}))
#add total iat
tasks <- tasks[order(tasks$arrival.time),]
tasks$iat.total <- c(tasks[1,'arrival.time'],sapply(2:nrow(tasks), function(x) tasks[x,'arrival.time']-tasks[x-1,'arrival.time']))
servers <- cbind(servers,data.frame(idle.time=rep(0,nrow(servers)), release.time=rep(NA,nrow(servers)), task_id=rep(NA,nrow(servers))))
queue <- data.frame(task_id=as.numeric(NULL), enqueue.time=as.numeric(NULL), service.time=as.numeric(NULL), overflow.time=as.numeric(NULL), skill=as.character(NULL), stringsAsFactors = FALSE)
#data frames for simulation statistics
# serverstat <- data.frame(server_id=as.character(NULL), event=as.character(NULL), clock=as.numeric(NULL), task_id=as.numeric(NULL), stringsAsFactors = FALSE)
library(igraph)
longest.path <- diameter(graph_from_edgelist(as.matrix(ofr[,c('skill','overflow.skill')]))) + 2
queuestat <- data.frame(task_id=numeric(nrow(tasks)*longest.path), event=character(nrow(tasks)*longest.path), clock=numeric(nrow(tasks)*longest.path), skill=character(nrow(tasks)*longest.path), stringsAsFactors = FALSE)
queuestat.counter <- 1
start.clock <- min(tasks$arrival.time)
next.event <- start.clock
clock <- start.clock
for(row in 1:nrow(tasks)){
while(clock < tasks[row,'arrival.time']){
#######################
# Releasing servers #
#######################
for (s in servers[servers$release.time==clock & !is.na(servers$task_id),'server_id']){
# serverstat <- rbind(serverstat,data.frame(server_id=s, event='release', clock=clock, task_id=servers[servers$server_id==s,'task_id'], stringsAsFactors = FALSE))
servers[servers$server_id==s,'task_id'] <- NA
servers[servers$server_id==s,'release.time'] <- NA
servers[servers$server_id==s,'idle.time'] <- 0
}
###################################
#Overflow those reached thresholds#
###################################
for (t in queue[queue$overflow.time==clock & !is.na(queue$overflow.time),'task_id']){
overflow.skill <- overflow[overflow$skill==queue[queue$task_id==t,'skill'], 'overflow.skill']
overflow.threshold <- overflow[overflow$skill==overflow.skill, 'threshold']
queue[queue$task_id==t,'skill'] <- overflow.skill
if(length(overflow.threshold)>0) queue[queue$task_id==t,'overflow.time'] <- clock + overflow.threshold
else queue[queue$task_id==t,'overflow.time'] <- NA
queuestat[queuestat.counter,] <- data.frame(task_id=t, event='overflow', clock=clock, skill=overflow.skill, stringsAsFactors = FALSE)
queuestat.counter <- queuestat.counter + 1
}
######################################
#Transfer calls from queue to servers#
######################################
servers <- servers[order(-servers$idle.time),] #order by descending idle time
for(t in queue$task_id){
available.server <- servers[is.na(servers$task_id) & servers[,queue[queue$task_id==t,'skill']]==1, 'server_id'][1]
if (!is.na(available.server)){
servers[servers$server_id==available.server,'task_id'] <- queue[queue$task_id==t,'task_id']
servers[servers$server_id==available.server,'release.time'] <- clock + queue[queue$task_id==t,'service.time']
servers[servers$server_id==available.server,'idle.time'] <- NA
# serverstat <- rbind(serverstat,data.frame(server_id=available.server, event='engage', clock=clock, task_id=t, stringsAsFactors = FALSE))
queuestat[queuestat.counter,] <- data.frame(task_id=t, event='dequeue', clock=clock, skill=queue[queue$task_id==t,'skill'], stringsAsFactors = FALSE)
queuestat.counter <- queuestat.counter + 1
tasks[tasks$task_id==t,'dequeue.time'] <- clock
tasks[tasks$task_id==t,'waiting.time'] <- clock - tasks[tasks$task_id==t,'arrival.time']
tasks[tasks$task_id==t,'dequeue.skill'] <- queue[queue$task_id==t,'skill']
tasks[tasks$task_id==t,'server_id'] <- as.character(available.server)
tasks[tasks$task_id==t,'release.time'] <- clock + queue[queue$task_id==t,'service.time']
queue <- queue[!(queue$task_id==t),]
}
}
#####################
#Find the next event#
#####################
next.event <- min(tasks[row,'arrival.time'], queue$overflow.time, servers$release.time, na.rm=TRUE)
servers$idle.time <- servers$idle.time + (next.event - clock)
clock <- next.event
}
#####################
# New call arrives #
#####################
overflow.threshold <- overflow[overflow$skill==tasks[row,'skill'], 'threshold']
if(length(overflow.threshold)>0) overflow.time <- clock + overflow.threshold
else overflow.time <- NA
queue <- rbind(queue,data.frame(task_id=tasks[row,'task_id'], enqueue.time=clock, service.time=tasks[row,'service.time'], overflow.time=overflow.time, skill=tasks[row,'skill'], stringsAsFactors = FALSE))
queuestat[queuestat.counter,] <- data.frame(task_id=tasks[row,'task_id'], event='enqueue', clock=clock, skill=tasks[row,'skill'], stringsAsFactors = FALSE)
queuestat.counter <- queuestat.counter + 1
}
###############################################
# Cut off warm-up period in TASKS #
###############################################
tasks <- tasks[tasks$arrival.time > 0,]
###########################
# Post-process queue stats#
###########################
queuestat <- queuestat[queuestat$task_id != 0,]
skill.num <- length(unique(queuestat$skill))
queuestat <- rbind(data.frame(task_id=rep(0,skill.num), event=rep('start',skill.num), clock=rep(start.clock,skill.num), skill=unique(queuestat$skill)), queuestat)
queuestat$change <- (queuestat$event %in% c('enqueue','overflow')) - (queuestat$event=='dequeue')
queuestat <- aggregate(queuestat$change, by=list(skill=queuestat$skill, clock=queuestat$clock), FUN=sum)
queuestat <- queuestat[queuestat$x != 0 | queuestat$clock == start.clock,]
#L by skills
queuestat <- queuestat[order(queuestat$skill, queuestat$clock),]
queuestat$L.by.skill <- ave(queuestat$x,by=queuestat$skill, FUN=cumsum)
queuestat$duration.by.skill <- c(sapply(1:(nrow(queuestat)-1)
, function(x) {if(queuestat[x+1,'skill']==queuestat[x,'skill']){queuestat[x+1,'clock']-queuestat[x,'clock']} else max(tasks$arrival.time)-queuestat[x,'clock']}), max(tasks$arrival.time)-queuestat[nrow(queuestat),'clock'])
####create state of skill queues at clock=0 and delete all warmup history
queuestat <- queuestat[order(queuestat$clock),]
#get state of each queue before 0
zero.states <- queuestat[sapply(unique(queuestat$skill), function(x) max(which(queuestat[queuestat$clock <= 0,'skill']==x))),]
zero.states$duration.by.skill <- zero.states$duration.by.skill + zero.states$clock
zero.states$clock <- 0
zero.states$x <- 0
queuestat <- rbind(zero.states,queuestat[queuestat$clock > 0,])
#L total
queuestat$L.total <- cumsum(queuestat$x) + sum(queuestat[queuestat$clock == 0, 'L.by.skill'])
queuestat$duration.total <- c(sapply(1:(nrow(queuestat)-1), function(x) queuestat[x+1,'clock']-queuestat[x,'clock']),max(tasks$arrival.time)-queuestat[nrow(queuestat),'clock'])
queuestat$x <- NULL