blob: 82638dc2bfaa742ffacbd883ce58464c36e686ac [file] [log] [blame]
# 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: j_ronquillo@u.pacific.edu
# **********************************************************
# STEP 1: Data management.
# **********************************************************
print( "**********************************************************" )
print( "STEP 1: Data management." )
print( "**********************************************************" )
# Command line arguments are read.
print( "Reading commmand-line args." )
args <- commandArgs( trailingOnly=TRUE )
# ----------------
# Import Libraries
# ----------------
print( "Importing libraries." )
library( ggplot2 )
library( reshape2 )
library( RPostgreSQL ) # For databases
# -------------------
# Check CLI Arguments
# -------------------
print( "Verifying CLI args." )
if ( is.na( args[ 7 ] ) ){
print( paste( "Usage: Rscript SCPFmastershipFailoverLat",
"<database-host>",
"<database-port>",
"<database-user-id>",
"<database-password>",
"<test-name>",
"<branch-name>",
"<directory-to-save-graphs>",
sep=" " ) )
q() # basically exit(), but in R
}
# -----------------
# Create File Names
# -----------------
print( "Creating filenames and title of graph." )
chartTitle <- "Mastership Failover Latency"
errBarOutputFile <- paste( args[ 7 ],
args[ 5 ],
"_",
args[ 6 ],
"_errGraph.jpg",
sep="" )
stackedBarOutputFile <- paste( args[ 7 ],
args[ 5 ],
"_",
args[ 6 ],
"_stackedGraph.jpg",
sep="" )
# ------------------
# SQL Initialization
# ------------------
print( "Initializing SQL" )
con <- dbConnect( dbDriver( "PostgreSQL" ),
dbname = "onostest",
host = args[ 1 ],
port = strtoi( args[ 2 ] ),
user = args[ 3 ],
password = args[ 4 ] )
# ---------------------------------------
# Mastership Failover Latency SQL Command
# ---------------------------------------
print( "Generating Mastership Failover Latency SQL command" )
command <- paste( "SELECT * FROM mastership_failover_tests WHERE branch = '",
args[ 6 ],
"' AND date IN ( SELECT MAX( date ) FROM mastership_failover_tests WHERE branch = '",
args[ 6 ],
"' ) ",
sep = "" )
print( "Sending SQL command:" )
print( command )
fileData <- dbGetQuery( con, command )
# **********************************************************
# STEP 2: Organize data.
# **********************************************************
print( "**********************************************************" )
print( "STEP 2: Organize Data." )
print( "**********************************************************" )
# ------------
# Data Sorting
# ------------
print( "Combining averages into a list." )
avgs <- c( fileData[ 'kill_deact_avg' ],
fileData[ 'deact_role_avg' ] )
# --------------------
# Construct Data Frame
# --------------------
print( "Constructing Data Frame from list." )
dataFrame <- melt( avgs )
dataFrame$scale <- fileData$scale
dataFrame$stds <- c( fileData$kill_deact_std,
fileData$deact_role_std )
colnames( dataFrame ) <- c( "ms",
"type",
"scale",
"stds" )
dataFrame <- na.omit( dataFrame ) # Omit any data that doesn't exist
sum <- fileData[ 'deact_role_avg' ] +
fileData[ 'kill_deact_avg' ]
print( "Data Frame Results:" )
print( dataFrame )
# **********************************************************
# STEP 3: Generate graphs.
# **********************************************************
print( "**********************************************************" )
print( "STEP 3: Generate Graph." )
print( "**********************************************************" )
# ------------------------------------
# Initialize Variables for Both Graphs
# ------------------------------------
print( "Initializing variables used in both graphs." )
theme_set( theme_grey( base_size = 22 ) ) # set the default text size of the graph.
xScaleConfig <- scale_x_continuous( breaks = c( 1, 3, 5, 7, 9) )
xLabel <- xlab( "Scale" )
yLabel <- ylab( "Latency (ms)" )
fillLabel <- labs( fill = "Type" )
barWidth <- 0.9
imageWidth <- 15
imageHeight <- 10
imageDPI <- 200
theme <- theme( plot.title = element_text( hjust = 0.5, size = 32, face='bold' ),
legend.position = "bottom",
legend.text = element_text( size=22 ),
legend.title = element_blank(),
legend.key.size = unit( 1.5, 'lines' ) )
barColors <- scale_fill_manual( values=c( "#F77670",
"#619DFA" ) )
wrapLegend <- guides( fill=guide_legend( nrow=1, byrow=TRUE ) )
# ----------------------------------
# Error Bar Graph Generate Main Plot
# ----------------------------------
print( "Creating main plot." )
mainPlot <- ggplot( data = dataFrame, aes( x = scale,
y = ms,
ymin = ms,
ymax = ms + stds,
fill = type ) )
# ----------------------------------------------
# Error Bar Graph Fundamental Variables Assigned
# ----------------------------------------------
print( "Generating fundamental graph data for the error bar graph." )
errorBarColor <- rgb( 140, 140, 140, maxColorValue=255 )
title <- ggtitle( chartTitle )
fundamentalGraphData <- mainPlot +
xScaleConfig +
xLabel +
yLabel +
fillLabel +
theme +
title +
wrapLegend
# -------------------------------------------
# Error Bar Graph Generating Bar Graph Format
# -------------------------------------------
print( "Generating bar graph with error bars." )
barGraphFormat <- geom_bar( stat = "identity",
position = position_dodge(),
width = barWidth )
errorBarFormat <- geom_errorbar( width = barWidth,
position = position_dodge(),
color = errorBarColor )
values <- geom_text( aes( x = dataFrame$scale,
y = dataFrame$ms + 0.02 * max( dataFrame$ms ),
label = format( dataFrame$ms,
digits = 3,
big.mark = ",",
scientific = FALSE ) ),
size = 7.0,
fontface = "bold",
position = position_dodge( 0.9 ) )
result <- fundamentalGraphData +
barGraphFormat +
barColors +
errorBarFormat +
values
# ---------------------------------------
# Error Bar Graph Exporting Graph to File
# ---------------------------------------
print( paste( "Saving bar chart with error bars to", errBarOutputFile ) )
ggsave( errBarOutputFile,
width = imageWidth,
height = imageHeight,
dpi = imageDPI )
print( paste( "[SUCCESS] Successfully wrote bar chart with error bars out to", errBarOutputFile ) )
# ------------------------------------------------
# Stacked Bar Graph Fundamental Variables Assigned
# ------------------------------------------------
print( "Generating fundamental graph data for the stacked bar graph." )
title <- ggtitle( chartTitle )
fundamentalGraphData <- mainPlot +
xScaleConfig +
xLabel +
yLabel +
fillLabel +
theme +
title +
wrapLegend
# ---------------------------------------------
# Stacked Bar Graph Generating Bar Graph Format
# ---------------------------------------------
print( "Generating stacked bar chart." )
stackedBarFormat <- geom_bar( stat = "identity",
width = barWidth )
values <- geom_text( aes( x = dataFrame$scale,
y = sum + 0.02 * max( sum ),
label = format( sum,
digits = 3,
big.mark = ",",
scientific = FALSE ) ),
size = 7.0,
fontface = "bold" )
result <- fundamentalGraphData +
stackedBarFormat +
barColors +
title +
values
# -----------------------------------------
# Stacked Bar Graph Exporting Graph to File
# -----------------------------------------
print( paste( "Saving stacked bar chart to", stackedBarOutputFile ) )
ggsave( stackedBarOutputFile,
width = imageWidth,
height = imageHeight,
dpi = imageDPI )
print( paste( "[SUCCESS] Successfully wrote stacked bar chart out to", stackedBarOutputFile ) )