--- /dev/null
+source("functions.r");
+
+
+available_nodes <- function (ns, from, to, type, fmt="%b")
+{
+ # find 'type' range of days
+ dates <-seq(as.Date(from), as.Date(to), type)
+ months <- format(dates, fmt)
+ hbreaks<-unclass(as.POSIXct(dates))
+
+ xx<-NULL;
+ yy<-NULL;
+
+ for ( i in seq(1,length(hbreaks)-1) )
+ {
+ # get range from ns
+ ns_sub <- ns[which(ns$date > hbreaks[i] & ns$date <= hbreaks[i+1] & ns$status == 'BOOT'),]
+ nodes <- length(ns_sub$date)
+
+ xx<- c(xx, hbreaks[i])
+ yy<- c(yy, nodes)
+
+ }
+ m<- months[1:length(months)-1]
+ return (rbind(xx,yy,m))
+}
+
+
+
+open_tickets <- function (t, from, to, type, fmt="%b")
+{
+ # find 'type' range of days
+ dates <-seq(as.Date(from), as.Date(to), type)
+ months <- format(dates, fmt)
+ hbreaks<-unclass(as.POSIXct(dates))
+
+ xx<-NULL;
+ yy<-NULL;
+
+ for ( i in seq(1,length(hbreaks)-1) )
+ {
+ # identify any tickets with a start time in range, lastreply in range
+ # or where both start is less and lastreply is greater than the range
+ t_sub <- t[which( (t$start < hbreaks[i] & t$lastreply > hbreaks[i+1]) |
+ (t$start > hbreaks[i] & t$start <= hbreaks[i+1]) |
+ (t$lastreply > hbreaks[i] & t$lastreply <= hbreaks[i+1]) ),]
+ tickets <- length(t_sub$start)
+ #if ( nrow(t_sub) > 0 ){
+ # for ( j in seq(1,nrow(t_sub)) )
+ # {
+ # #print(sprintf("id %s, date %s", t_sub[i,'ticket_id'], t_sub[i,'s1']))
+ # print(sprintf("id %s, date %s", t_sub[j,]$ticket_id, t_sub[j, 's1']))
+ # }
+ #}
+
+ xx<- c(xx, hbreaks[i])
+ yy<- c(yy, tickets)
+
+ }
+ m<- months[1:length(months)-1]
+ return (rbind(xx,yy,m))
+}
+
+online_nodes <- function (fb)
+{
+ breaks <- unique(fb$timestamp)
+ n<-NULL
+ o<-NULL
+ x<-NULL
+ for (i in seq(1,length(breaks)) )
+ {
+ ts <- breaks[i]
+ sub <- fb[which(fb$timestamp == ts),]
+ node_count <- length(unique(sub$hostname))
+ online_count <- length(unique(sub$hostname[which(sub$state=='BOOT')]))
+ x<-c(x,ts)
+ n<-c(n,node_count)
+ o<-c(o,online_count)
+ }
+ print(length(x))
+ print(length(n))
+ print(length(o))
+ return (rbind(x,n,o))
+}
+
+lowess_smooth <- function (x, y, delta=(60*60*24), f=0.02)
+{
+ a<-lowess(x, y, delta=delta, f=f)
+ return (a);
+}
+
+#####
+
+# system("parse_rt_data.py 3 > rt_data.csv");
+t <- read.csv('rt_data_2004-2010.csv', sep=',', header=TRUE)
+t2 <- t[which(t$complete == 1),]
+ot <- open_tickets(t2, '2004/1/1', '2010/2/28', 'day', "%b")
+
+start_image("rt_operator_overhead.png")
+par(mfrow=c(2,1))
+par(mai=c(0,1,0.1,0.1))
+
+x1<-as.numeric(ot[1,])
+y1<-as.numeric(ot[2,])
+
+a_ot<-lowess_smooth(x1, y1)
+
+plot(x1, y1, col='grey80', type='l', axes=F,
+ ylab="Open Tickets (tickets/day)", xlab="Date",
+ ylim=c(0,120)) # , ylim=c(0,260))
+lines(a_ot$x, round(a_ot$y), col='black')
+
+#axis(1, labels=ot[3,], at=ot[1,], cex.axis=0.7)
+axis(2, las=1)
+#mtext("2004 2005 2006 2007 2008 2009", 1,2)
+
+#abline_at_date('2005-01-01', 'grey60')
+#abline_at_date('2006-01-01', 'grey60')
+#abline_at_date('2007-01-01', 'grey60')
+#abline_at_date('2008-01-01', 'grey60')
+#abline_at_date('2009-01-01', 'grey60')
+#abline_at_date('2010-01-01', 'grey60')
+abline(h=25, lty=2, col='grey80')
+abline(h=40, lty=2, col='grey80')
+
+tstamp_20041112 <-abline_at_date("2004-11-12", col='grey60', lty=2)
+tstamp_20050301 <-abline_at_date("2005-03-01", col='grey60', lty=2)
+tstamp_20050615 <-abline_at_date("2005-06-15", col='grey60', lty=2)
+tstamp_20051023 <-abline_at_date("2005-10-23", col='grey60', lty=2)
+tstamp_20070101 <-abline_at_date("2007-01-01", col='grey60', lty=2)
+tstamp_20070501 <-abline_at_date("2007-05-01", col='grey60', lty=2)
+tstamp_20080601 <-abline_at_date("2008-06-01", col='grey60', lty=2)
+tstamp_20080815 <-abline_at_date("2008-08-15", col='grey60', lty=2)
+tstamp_20090501 <-abline_at_date("2009-05-01", col='grey60', lty=2)
+tstamp_20100201 <-abline_at_date("2010-02-01", col='white', lty=2)
+
+
+text(x=c( tstamp_20041112+(tstamp_20050301-tstamp_20041112)/2,
+ tstamp_20050301+(tstamp_20050615-tstamp_20050301)/2,
+ tstamp_20050615+(tstamp_20051023-tstamp_20050615)/2,
+ tstamp_20051023+(tstamp_20070101-tstamp_20051023)/2,
+ tstamp_20070101+(tstamp_20070501-tstamp_20070101)/2,
+ tstamp_20080601+(tstamp_20080815-tstamp_20080601)/2,
+ tstamp_20090501+(tstamp_20100201-tstamp_20090501)/2 ),
+ y=c(120),
+ labels=c('3.0', '3.1', '3.1S', '3.2', '4.0', '4.2', '4.3'))
+
+par(mai=c(1,1,0.1,0.1))
+for ( s in c(7) )
+{
+ d<- median_time_to_resolve_window(t2, "2004/1/1", "2010/2/28", s, "%b")
+ plot(d[,1], exp(as.numeric(d[,5]))/24, type='l', lty=1, xlab="",
+ axes=F, ylim=c(0.01, 15), ylab="Resolution Time by", col='grey50',
+ xlim=c(min(x1), max(x1)))
+ mtext("Quartile (days)", 2, 2)
+ lines(d[,1], exp(as.numeric(d[,4]))/24, lty=1, col='black')
+ lines(d[,1], exp(as.numeric(d[,3]))/24, lty=1, col='grey50')
+ #axis(1, labels=d[,7], at=d[,1])
+ axis(1, labels=ot[3,], at=ot[1,], cex.axis=0.7)
+ mtext("2004 2005 2006 2007 2008 2009", 1,2)
+ axis(2, las=1)
+ m<-round(max(exp(as.numeric(d[,4]))/24), 2)
+ axis(2, labels=m, at=m, las=1)
+ abline(h=m, lty=2, col='grey40')
+}
+
+tstamp_20041112 <-abline_at_date("2004-11-12", col='grey60', lty=2)
+tstamp_20050301 <-abline_at_date("2005-03-01", col='grey60', lty=2)
+tstamp_20050615 <-abline_at_date("2005-06-15", col='grey60', lty=2)
+tstamp_20051023 <-abline_at_date("2005-10-23", col='grey60', lty=2)
+tstamp_20070101 <-abline_at_date("2007-01-01", col='grey60', lty=2)
+tstamp_20070501 <-abline_at_date("2007-05-01", col='grey60', lty=2)
+tstamp_20080601 <-abline_at_date("2008-06-01", col='grey60', lty=2)
+tstamp_20080815 <-abline_at_date("2008-08-15", col='grey60', lty=2)
+tstamp_20090501 <-abline_at_date("2009-05-01", col='grey60', lty=2)
+tstamp_20100201 <-abline_at_date("2010-02-01", col='white', lty=2)
+
+
+text(x=c( tstamp_20041112+(tstamp_20050301-tstamp_20041112)/2,
+ tstamp_20050301+(tstamp_20050615-tstamp_20050301)/2,
+ tstamp_20050615+(tstamp_20051023-tstamp_20050615)/2,
+ tstamp_20051023+(tstamp_20070101-tstamp_20051023)/2,
+ tstamp_20070101+(tstamp_20070501-tstamp_20070101)/2,
+ tstamp_20080601+(tstamp_20080815-tstamp_20080601)/2,
+ tstamp_20090501+(tstamp_20100201-tstamp_20090501)/2 ),
+ y=c(15),
+ labels=c('3.0', '3.1', '3.1S', '3.2', '4.0', '4.2', '4.3'))
+
+end_image()
git://git.onelab.eu / monitor.git / blobdiff