Minor fixes to the graph generator scripts in R, increased text size
Change-Id: Iaff237d0dcbd3518ca4ddb858d5bb0d07c3d6a05
diff --git a/TestON/JenkinsFile/scripts/SCPFswitchLat.R b/TestON/JenkinsFile/scripts/SCPFswitchLat.R
new file mode 100644
index 0000000..9131be9
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+++ b/TestON/JenkinsFile/scripts/SCPFswitchLat.R
@@ -0,0 +1,172 @@
+# Copyright 2017 Open Networking Foundation (ONF)
+#
+# Please refer questions to either the onos test mailing list at <onos-test@onosproject.org>,
+# the System Testing Plans and Results wiki page at <https://wiki.onosproject.org/x/voMg>,
+# or the System Testing Guide page at <https://wiki.onosproject.org/x/WYQg>
+#
+# TestON is free software: you can redistribute it and/or modify
+# it under the terms of the GNU General Public License as published by
+# the Free Software Foundation, either version 2 of the License, or
+# (at your option) any later version.
+#
+# TestON is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+# GNU General Public License for more details.
+#
+# You should have received a copy of the GNU General Public License
+# along with TestON. If not, see <http://www.gnu.org/licenses/>.
+#
+# If you have any questions, or if you don't understand R,
+# please contact Jeremy Ronquillo: jeremyr@opennetworking.org
+
+# **********************************************************
+# STEP 1: File management.
+# **********************************************************
+
+print( "STEP 1: File management." )
+
+# Command line arguments are read. Args usually include the database filename and the output
+# directory for the graphs to save to.
+# ie: Rscript SCPFgraphGenerator SCPFsampleDataDB.csv ~/tmp/
+print( "Reading commmand-line args." )
+args <- commandArgs( trailingOnly=TRUE )
+
+# Import libraries to be used for graphing and organizing data, respectively.
+# Find out more about ggplot2: https://github.com/tidyverse/ggplot2
+# reshape2: https://github.com/hadley/reshape
+print( "Importing libraries." )
+library( ggplot2 )
+library( reshape2 )
+library( RPostgreSQL ) # For databases
+
+# Check if sufficient args are provided.
+if ( is.na( args[ 7 ] ) ){
+ print( "Usage: Rscript SCPFswitchLat <database-host> <database-port> <database-user-id> <database-password> <test-name> <branch-name> <directory-to-save-graphs>" )
+ q() # basically exit(), but in R
+}
+
+# Filenames for output graphs include the testname and the graph type.
+# See the examples below. paste() is used to concatenate strings.
+errBarOutputFileUp <- paste( args[ 7 ], "SCPFswitchLat_", sep = "" )
+errBarOutputFileUp <- paste( errBarOutputFileUp, args[ 6 ], sep = "" )
+errBarOutputFileUp <- paste( errBarOutputFileUp, "_UpErrBarWithStack.jpg", sep = "" )
+
+errBarOutputFileDown <- paste( args[ 7 ], "SCPFswitchLat_", sep = "" )
+errBarOutputFileDown <- paste( errBarOutputFileDown, args[ 6 ], sep = "" )
+errBarOutputFileDown <- paste( errBarOutputFileDown, "_DownErrBarWithStack.jpg", sep = "" )
+
+print( "Reading from databases." )
+
+con <- dbConnect( dbDriver( "PostgreSQL" ), dbname="onostest", host=args[ 1 ], port=strtoi( args[ 2 ] ), user=args[ 3 ],password=args[ 4 ] )
+
+command <- paste( "SELECT * FROM switch_latency_details WHERE branch = '", args[ 6 ], sep="" )
+command <- paste( command, "' AND date IN ( SELECT MAX( date ) FROM switch_latency_details WHERE branch='", sep = "")
+command <- paste( command, args[ 6 ], sep="" )
+command <- paste( command, "' )", sep="" )
+
+print( paste( "Sending SQL command:", command ) )
+
+fileData <- dbGetQuery( con, command )
+
+# **********************************************************
+# STEP 2: Organize data.
+# **********************************************************
+
+print( "Sorting data." )
+
+upAvgs <- c( fileData[ 'up_device_to_graph_avg' ], fileData[ 'role_reply_to_device_avg' ], fileData[ 'role_request_to_role_reply_avg' ], fileData[ 'feature_reply_to_role_request_avg' ], fileData[ 'tcp_to_feature_reply_avg' ] )
+upAvgsData <- melt( upAvgs )
+upAvgsData$scale <- fileData$scale
+upAvgsData$up_std <- fileData$up_std
+
+colnames( upAvgsData ) <- c( "ms", "type", "scale", "stds" )
+upAvgsData$type <- as.character( upAvgsData$type )
+upAvgsData$type <- factor( upAvgsData$type, levels=unique( upAvgsData$type ) )
+
+downAvgs <- c( fileData[ 'down_device_to_graph_avg' ], fileData[ 'ack_to_device_avg' ], fileData[ 'fin_ack_to_ack_avg' ] )
+downAvgsData <- melt( downAvgs )
+downAvgsData$scale <- fileData$scale
+downAvgsData$down_std <- fileData$down_std
+
+colnames( downAvgsData ) <- c( "ms", "type", "scale", "stds" )
+downAvgsData$type <- as.character( downAvgsData$type )
+downAvgsData$type <- factor( downAvgsData$type, levels=unique( downAvgsData$type ) )
+
+upAvgsData <- na.omit( upAvgsData ) # Omit any data that doesn't exist
+downAvgsData <- na.omit( downAvgsData )
+
+print( "Up Averages Results:" )
+print( upAvgsData )
+
+print( "Down Averages Results:" )
+print( downAvgsData )
+
+# **********************************************************
+# STEP 3: Generate graphs.
+# **********************************************************
+
+
+print( "Generating fundamental graph data (Switch Up Latency)." )
+width <- 1
+ if ( min( fileData[ 'up_end_to_end_avg' ] - upAvgsData$stds ) < 0 ) {
+ yMin <- min( fileData[ 'up_end_to_end_avg' ] + upAvgsData$stds ) * 1.05
+ } else {
+ yMin <- 0
+ }
+yMax <- max( fileData[ 'up_end_to_end_avg' ] + upAvgsData$stds )
+
+theme_set( theme_grey( base_size = 20 ) ) # set the default text size of the graph.
+
+mainPlot <- ggplot( data = upAvgsData, aes( x = scale, y = ms, fill = type, ymin = fileData[ 'up_end_to_end_avg' ] - stds, ymax = fileData[ 'up_end_to_end_avg' ] + stds ) )
+xScaleConfig <- scale_x_continuous( breaks=c( 1, 3, 5, 7, 9) )
+yLimit <- ylim( yMin, yMax )
+xLabel <- xlab( "Scale" )
+yLabel <- ylab( "Latency (ms)" )
+fillLabel <- labs( fill="Type" )
+theme <- theme( plot.title=element_text( hjust = 0.5, size = 28, face='bold' ) )
+
+fundamentalGraphData <- mainPlot + yLimit + xScaleConfig + xLabel + yLabel + fillLabel + theme
+
+print( "Generating bar graph with error bars (Switch Up Latency)." )
+barGraphFormat <- geom_bar( stat="identity", width = width )
+errorBarFormat <- geom_errorbar( width = width )
+
+title <- ggtitle( "Switch Up Latency" )
+result <- fundamentalGraphData + barGraphFormat + errorBarFormat + title
+
+
+print( paste( "Saving bar chart with error bars (Switch Up Latency) to", errBarOutputFileUp ) )
+ggsave( errBarOutputFileUp, width = 10, height = 6, dpi = 200 )
+
+
+print( paste( "Successfully wrote bar chart with error bars (Switch Up Latency) out to", errBarOutputFileUp ) )
+
+
+print( "Generating fundamental graph data (Switch Down Latency)." )
+ if ( min( fileData[ 'down_end_to_end_avg' ] - downAvgsData$stds ) < 0 ) {
+ yMin <- min( fileData[ 'down_end_to_end_avg' ] - downAvgsData$stds )
+ } else {
+ yMin <- 0
+ }
+ yMax <- max( fileData[ 'down_end_to_end_avg' ] + downAvgsData$stds )
+
+mainPlot <- ggplot( data = downAvgsData, aes( x = scale, y = ms, fill = type, ymin = fileData[ 'down_end_to_end_avg' ] - stds, ymax = fileData[ 'down_end_to_end_avg' ] + stds ) )
+yLimit <- ylim( yMin, yMax )
+theme <- theme( plot.title=element_text( hjust = 0.5, size = 28, face='bold' ) )
+
+fundamentalGraphData <- mainPlot + yLimit + xScaleConfig + xLabel + yLabel + fillLabel + theme
+
+print( "Generating bar graph with error bars (Switch Down Latency)." )
+barGraphFormat <- geom_bar( stat="identity", width = width )
+errorBarFormat <- geom_errorbar( width = width )
+
+title <- ggtitle( "Switch Down Latency" )
+result <- fundamentalGraphData + barGraphFormat + errorBarFormat + title
+
+
+print( paste( "Saving bar chart with error bars (Switch Down Latency) to", errBarOutputFileDown ) )
+ggsave( errBarOutputFileDown, width = 10, height = 6, dpi = 200 )
+
+
+print( paste( "Successfully wrote bar chart with error bars (Switch Down Latency) out to", errBarOutputFileDown ) )