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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 SCPFhostLat",
"<database-host>",
"<database-port>",
"<database-user-id>",
"<database-password>",
"<test-name>",
"<branch-name>",
"<directory-to-save-graphs>",
sep=" " ) )
quit( status = 1 ) # basically exit(), but in R
}
# -----------------
# Create File Names
# -----------------
print( "Creating filenames and title of graph." )
errBarOutputFile <- paste( args[ save_directory ],
args[ test_name ],
"_",
args[ branch_name ],
"_errGraph.jpg",
sep="" )
chartTitle <- "Host Latency"
# ------------------
# 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 ] )
# ------------------------
# Host Latency SQL Command
# ------------------------
print( "Generating Host Latency SQL Command" )
command <- paste( "SELECT * FROM host_latency_tests WHERE branch = '",
args[ branch_name ],
"' AND date IN ( SELECT MAX( date ) FROM host_latency_tests 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." )
requiredColumns <- c( "avg" )
tryCatch( avgs <- c( fileData[ requiredColumns] ),
error = function( e ) {
print( "[ERROR] One or more expected columns are missing from the data. Please check that the data and SQL command are valid, then try again." )
print( "Required columns: " )
print( requiredColumns )
print( "Actual columns: " )
print( names( fileData ) )
print( "Error dump:" )
print( e )
quit( status = 1 )
}
)
# --------------------
# Construct Data Frame
# --------------------
print( "Constructing Data Frame" )
dataFrame <- melt( avgs )
dataFrame$scale <- fileData$scale
dataFrame$std <- fileData$std
colnames( dataFrame ) <- c( "ms",
"type",
"scale",
"std" )
dataFrame <- na.omit( dataFrame ) # Omit any data that doesn't exist
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 = scale,
y = ms,
ymin = ms,
ymax = ms + std ) )
# ------------------------------
# Fundamental Variables Assigned
# ------------------------------
print( "Generating fundamental graph data." )
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" )
theme <- theme( plot.title = element_text( hjust = 0.5, size = 32, face ='bold' ),
plot.subtitle = element_text( size=16, hjust=1.0 ) )
subtitle <- paste( "Last Updated: ", format( Sys.time(), format = "%b %d, %Y at %I:%M %p %Z" ), sep="" )
title <- labs( title = chartTitle, subtitle = subtitle )
errorBarColor <- rgb( 140, 140, 140, maxColorValue = 255 )
imageWidth <- 15
imageHeight <- 10
imageDPI <- 200
fundamentalGraphData <- mainPlot +
xScaleConfig +
xLabel +
yLabel +
fillLabel +
theme +
title
# ---------------------------
# Generating Bar Graph Format
# ---------------------------
print( "Generating bar graph with error bars." )
barWidth <- 0.9
barGraphFormat <- geom_bar( stat = "identity",
position = position_dodge(),
width = barWidth,
fill = "#A700EF" )
errorBarFormat <- geom_errorbar( position = position_dodge(),
width = barWidth,
color = errorBarColor )
values <- geom_text( aes( x=dataFrame$scale,
y=dataFrame$ms + 0.06 * max( dataFrame$ms ),
label = format( dataFrame$ms,
digits=3,
big.mark = ",",
scientific = FALSE ) ),
size = 7.0,
fontface = "bold" )
result <- fundamentalGraphData +
barGraphFormat +
errorBarFormat +
values
# -----------------------
# Exporting Graph to File
# -----------------------
print( paste( "Saving bar chart with error bars to", errBarOutputFile ) )
tryCatch( ggsave( errBarOutputFile,
width = imageWidth,
height = imageHeight,
dpi = imageDPI ),
error = function( e ){
print( "[ERROR] There was a problem saving the graph due to a graph formatting exception. Error dump:" )
print( e )
quit( status = 1 )
}
)
print( paste( "[SUCCESS] Successfully wrote bar chart out to", errBarOutputFile ) )
quit( status = 0 )