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# 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( "**********************************************************" )
database_host = 1
database_port = 2
database_u_id = 3
database_pw = 4
test_name = 5
branch_name = 6
save_directory = 7
# 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[ save_directory ] ) ){
print( paste( "Usage: Rscript SCPFgraphGenerator",
"<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." )
outputFile <- paste( args[ save_directory ],
args[ test_name ],
"_",
args[ branch_name ],
"_graph.jpg",
sep="" )
chartTitle <- "Scale Topology Latency Test"
# ------------------
# SQL Initialization
# ------------------
print( "Initializing SQL" )
con <- dbConnect( dbDriver( "PostgreSQL" ),
dbname = "onostest",
host = args[ database_host ],
port = strtoi( args[ database_port ] ),
user = args[ database_u_id ],
password = args[ database_pw ] )
# --------------------------
# Scale Topology SQL Command
# --------------------------
print( "Generating Scale Topology SQL Command" )
command <- paste( "SELECT * FROM scale_topo_latency_details WHERE branch = '",
args[ branch_name ],
"' AND date IN ( SELECT MAX( date ) FROM scale_topo_latency_details WHERE branch = '",
args[ branch_name ],
"' ) ",
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( "Sorting data." )
avgs <- c( fileData[ 'last_role_request_to_last_topology' ],
fileData[ 'last_connection_to_last_role_request' ],
fileData[ 'first_connection_to_last_connection' ] )
# --------------------
# Construct Data Frame
# --------------------
print( "Constructing Data Frame" )
# Parse lists into data frames.
dataFrame <- melt( avgs )
dataFrame$scale <- fileData$scale
colnames( dataFrame ) <- c( "s",
"type",
"scale")
# Format data frame so that the data is in the same order as it appeared in the file.
dataFrame$type <- as.character( dataFrame$type )
dataFrame$type <- factor( dataFrame$type, levels=unique( dataFrame$type ) )
dataFrame$iterative <- seq( 1, nrow( fileData ), by = 1 )
dataFrame <- na.omit( dataFrame ) # Omit any data that doesn't exist
sum <- fileData[ 'last_role_request_to_last_topology' ] +
fileData[ 'last_connection_to_last_role_request' ] +
fileData[ 'first_connection_to_last_connection' ]
print( "Data Frame Results:" )
print( dataFrame )
# **********************************************************
# STEP 3: Generate graphs.
# **********************************************************
print( "**********************************************************" )
print( "STEP 3: Generate Graph." )
print( "**********************************************************" )
# ------------------
# Generate Main Plot
# ------------------
print( "Creating main plot." )
mainPlot <- ggplot( data = dataFrame, aes( x = iterative,
y = s,
fill = type ) )
# ------------------------------
# Fundamental Variables Assigned
# ------------------------------
print( "Generating fundamental graph data." )
theme_set( theme_grey( base_size = 20 ) ) # set the default text size of the graph.
width <- 0.6 # Width of the bars.
xScaleConfig <- scale_x_continuous( breaks = dataFrame$iterative,
label = dataFrame$scale )
xLabel <- xlab( "Scale" )
yLabel <- ylab( "Latency (s)" )
fillLabel <- labs( fill="Type" )
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' ) )
values <- geom_text( aes( x = dataFrame$iterative,
y = sum + 0.02 * max( sum ),
label = format( sum,
big.mark = ",",
scientific = FALSE ),
fontface = "bold" ),
size = 7.0 )
wrapLegend <- guides( fill = guide_legend( nrow=2, byrow=TRUE ) )
title <- ggtitle( chartTitle, "" )
# Store plot configurations as 1 variable
fundamentalGraphData <- mainPlot +
xScaleConfig +
xLabel +
yLabel +
fillLabel +
theme +
values +
wrapLegend +
title
# ---------------------------
# Generating Bar Graph Format
# ---------------------------
print( "Generating bar graph." )
barGraphFormat <- geom_bar( stat = "identity", width = width )
result <- fundamentalGraphData +
barGraphFormat
# -----------------------
# Exporting Graph to File
# -----------------------
print( paste( "Saving bar chart to", outputFile ) )
ggsave( outputFile,
width = imageWidth,
height = imageHeight,
dpi = imageDPI )
print( paste( "[SUCCESS] Successfully wrote bar chart out to", outputFile ) )