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Jeremy Ronquillo6df87812017-08-28 16:17:36 +00001# Copyright 2017 Open Networking Foundation (ONF)
2#
3# Please refer questions to either the onos test mailing list at <onos-test@onosproject.org>,
4# the System Testing Plans and Results wiki page at <https://wiki.onosproject.org/x/voMg>,
5# or the System Testing Guide page at <https://wiki.onosproject.org/x/WYQg>
6#
7# TestON is free software: you can redistribute it and/or modify
8# it under the terms of the GNU General Public License as published by
9# the Free Software Foundation, either version 2 of the License, or
10# (at your option) any later version.
11#
12# TestON is distributed in the hope that it will be useful,
13# but WITHOUT ANY WARRANTY; without even the implied warranty of
14# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
15# GNU General Public License for more details.
16#
17# You should have received a copy of the GNU General Public License
18# along with TestON. If not, see <http://www.gnu.org/licenses/>.
19#
20# If you have any questions, or if you don't understand R,
Jeremy Ronquillob6268842017-10-03 13:02:58 -070021# please contact Jeremy Ronquillo: j_ronquillo@u.pacific.edu
Jeremy Ronquillo6df87812017-08-28 16:17:36 +000022
23# **********************************************************
24# STEP 1: File management.
25# **********************************************************
26
27print( "STEP 1: File management." )
28
Jeremy Ronquillob6268842017-10-03 13:02:58 -070029# Command line arguments are read.
Jeremy Ronquillo6df87812017-08-28 16:17:36 +000030print( "Reading commmand-line args." )
31args <- commandArgs( trailingOnly=TRUE )
32
33# Import libraries to be used for graphing and organizing data, respectively.
34# Find out more about ggplot2: https://github.com/tidyverse/ggplot2
35# reshape2: https://github.com/hadley/reshape
36print( "Importing libraries." )
37library( ggplot2 )
38library( reshape2 )
39library( RPostgreSQL ) # For databases
40
41# Check if sufficient args are provided.
42if ( is.na( args[ 7 ] ) ){
43 print( "Usage: Rscript SCPFswitchLat <database-host> <database-port> <database-user-id> <database-password> <test-name> <branch-name> <directory-to-save-graphs>" )
44 q() # basically exit(), but in R
45}
46
Jeremy Ronquillob6268842017-10-03 13:02:58 -070047# paste() is used to concatenate strings.
Jeremy Ronquillo6df87812017-08-28 16:17:36 +000048errBarOutputFileUp <- paste( args[ 7 ], "SCPFswitchLat_", sep = "" )
49errBarOutputFileUp <- paste( errBarOutputFileUp, args[ 6 ], sep = "" )
50errBarOutputFileUp <- paste( errBarOutputFileUp, "_UpErrBarWithStack.jpg", sep = "" )
51
52errBarOutputFileDown <- paste( args[ 7 ], "SCPFswitchLat_", sep = "" )
53errBarOutputFileDown <- paste( errBarOutputFileDown, args[ 6 ], sep = "" )
54errBarOutputFileDown <- paste( errBarOutputFileDown, "_DownErrBarWithStack.jpg", sep = "" )
55
56print( "Reading from databases." )
57
58con <- dbConnect( dbDriver( "PostgreSQL" ), dbname="onostest", host=args[ 1 ], port=strtoi( args[ 2 ] ), user=args[ 3 ],password=args[ 4 ] )
59
60command <- paste( "SELECT * FROM switch_latency_details WHERE branch = '", args[ 6 ], sep="" )
61command <- paste( command, "' AND date IN ( SELECT MAX( date ) FROM switch_latency_details WHERE branch='", sep = "")
62command <- paste( command, args[ 6 ], sep="" )
63command <- paste( command, "' )", sep="" )
64
65print( paste( "Sending SQL command:", command ) )
66
67fileData <- dbGetQuery( con, command )
68
69# **********************************************************
70# STEP 2: Organize data.
71# **********************************************************
72
73print( "Sorting data." )
74
75upAvgs <- 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' ] )
76upAvgsData <- melt( upAvgs )
77upAvgsData$scale <- fileData$scale
78upAvgsData$up_std <- fileData$up_std
79
80colnames( upAvgsData ) <- c( "ms", "type", "scale", "stds" )
81upAvgsData$type <- as.character( upAvgsData$type )
82upAvgsData$type <- factor( upAvgsData$type, levels=unique( upAvgsData$type ) )
83
84downAvgs <- c( fileData[ 'down_device_to_graph_avg' ], fileData[ 'ack_to_device_avg' ], fileData[ 'fin_ack_to_ack_avg' ] )
85downAvgsData <- melt( downAvgs )
86downAvgsData$scale <- fileData$scale
87downAvgsData$down_std <- fileData$down_std
88
89colnames( downAvgsData ) <- c( "ms", "type", "scale", "stds" )
90downAvgsData$type <- as.character( downAvgsData$type )
91downAvgsData$type <- factor( downAvgsData$type, levels=unique( downAvgsData$type ) )
92
Jeremy Ronquillo2d2649d2017-09-14 12:53:06 -070093upAvgsData <- na.omit( upAvgsData ) # Omit any data that doesn't exist
94downAvgsData <- na.omit( downAvgsData )
95
96print( "Up Averages Results:" )
97print( upAvgsData )
98
99print( "Down Averages Results:" )
100print( downAvgsData )
Jeremy Ronquillo6df87812017-08-28 16:17:36 +0000101
102# **********************************************************
103# STEP 3: Generate graphs.
104# **********************************************************
105
106
107print( "Generating fundamental graph data (Switch Up Latency)." )
108width <- 1
Jeremy Ronquillo6df87812017-08-28 16:17:36 +0000109
Jeremy Ronquillo2d2649d2017-09-14 12:53:06 -0700110theme_set( theme_grey( base_size = 20 ) ) # set the default text size of the graph.
111
Jeremy Ronquillo6df87812017-08-28 16:17:36 +0000112mainPlot <- 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 ) )
113xScaleConfig <- scale_x_continuous( breaks=c( 1, 3, 5, 7, 9) )
Jeremy Ronquillo6df87812017-08-28 16:17:36 +0000114xLabel <- xlab( "Scale" )
115yLabel <- ylab( "Latency (ms)" )
116fillLabel <- labs( fill="Type" )
Jeremy Ronquillo2d2649d2017-09-14 12:53:06 -0700117theme <- theme( plot.title=element_text( hjust = 0.5, size = 28, face='bold' ) )
Jeremy Ronquillo6df87812017-08-28 16:17:36 +0000118
Jeremy Ronquillob6268842017-10-03 13:02:58 -0700119fundamentalGraphData <- mainPlot + xScaleConfig + xLabel + yLabel + fillLabel + theme
Jeremy Ronquillo6df87812017-08-28 16:17:36 +0000120
121print( "Generating bar graph with error bars (Switch Up Latency)." )
122barGraphFormat <- geom_bar( stat="identity", width = width )
123errorBarFormat <- geom_errorbar( width = width )
124
125title <- ggtitle( "Switch Up Latency" )
126result <- fundamentalGraphData + barGraphFormat + errorBarFormat + title
127
128
129print( paste( "Saving bar chart with error bars (Switch Up Latency) to", errBarOutputFileUp ) )
130ggsave( errBarOutputFileUp, width = 10, height = 6, dpi = 200 )
131
132
133print( paste( "Successfully wrote bar chart with error bars (Switch Up Latency) out to", errBarOutputFileUp ) )
134
135
136print( "Generating fundamental graph data (Switch Down Latency)." )
Jeremy Ronquillo6df87812017-08-28 16:17:36 +0000137
138mainPlot <- 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 ) )
Jeremy Ronquillo2d2649d2017-09-14 12:53:06 -0700139theme <- theme( plot.title=element_text( hjust = 0.5, size = 28, face='bold' ) )
Jeremy Ronquillo6df87812017-08-28 16:17:36 +0000140
Jeremy Ronquillob6268842017-10-03 13:02:58 -0700141fundamentalGraphData <- mainPlot + xScaleConfig + xLabel + yLabel + fillLabel + theme
Jeremy Ronquillo6df87812017-08-28 16:17:36 +0000142
143print( "Generating bar graph with error bars (Switch Down Latency)." )
144barGraphFormat <- geom_bar( stat="identity", width = width )
145errorBarFormat <- geom_errorbar( width = width )
146
147title <- ggtitle( "Switch Down Latency" )
148result <- fundamentalGraphData + barGraphFormat + errorBarFormat + title
149
150
151print( paste( "Saving bar chart with error bars (Switch Down Latency) to", errBarOutputFileDown ) )
152ggsave( errBarOutputFileDown, width = 10, height = 6, dpi = 200 )
153
154
155print( paste( "Successfully wrote bar chart with error bars (Switch Down Latency) out to", errBarOutputFileDown ) )