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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 SCPFportLat",
"<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." )
errBarOutputFileUp <- paste( args[ save_directory ],
"SCPFportLat_",
args[ branch_name ],
"_UpErrBarWithStack.jpg",
sep = "" )
errBarOutputFileDown <- paste( args[ save_directory ],
"SCPFportLat_",
args[ branch_name ],
"_DownErrBarWithStack.jpg",
sep = "" )
# ------------------
# 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 ] )
# ------------------------
# Port Latency SQL Command
# ------------------------
print( "Generating Port Latency SQL Command" )
command <- paste( "SELECT * FROM port_latency_details WHERE branch = '",
args[ branch_name ],
"' AND date IN ( SELECT MAX( date ) FROM port_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( "**********************************************************" )
# -----------------------------
# Port Up Averages Data Sorting
# -----------------------------
print( "Sorting data for Port Up Averages." )
upAvgs <- c( fileData[ 'up_ofp_to_dev_avg' ],
fileData[ 'up_dev_to_link_avg' ],
fileData[ 'up_link_to_graph_avg' ] )
# ----------------------------
# Port Up Construct Data Frame
# ----------------------------
print( "Constructing Port Up data frame." )
upAvgsDataFrame <- melt( upAvgs )
upAvgsDataFrame$scale <- fileData$scale
upAvgsDataFrame$up_std <- fileData$up_std
colnames( upAvgsDataFrame ) <- c( "ms",
"type",
"scale",
"stds" )
upAvgsDataFrame <- na.omit( upAvgsDataFrame )
upAvgsDataFrame$type <- as.character( upAvgsDataFrame$type )
upAvgsDataFrame$type <- factor( upAvgsDataFrame$type, levels=unique( upAvgsDataFrame$type ) )
sumOfUpAvgs <- fileData[ 'up_ofp_to_dev_avg' ] +
fileData[ 'up_dev_to_link_avg' ] +
fileData[ 'up_link_to_graph_avg' ]
print( "Up Averages Results:" )
print( upAvgsDataFrame )
# -------------------------------
# Port Down Averages Data Sorting
# -------------------------------
print( "Sorting data for Port Down Averages." )
downAvgs <- c( fileData[ 'down_ofp_to_dev_avg' ],
fileData[ 'down_dev_to_link_avg' ],
fileData[ 'down_link_to_graph_avg' ] )
# ------------------------------
# Port Down Construct Data Frame
# ------------------------------
print( "Constructing Port Down data frame." )
downAvgsDataFrame <- melt( downAvgs )
downAvgsDataFrame$scale <- fileData$scale
downAvgsDataFrame$down_std <- fileData$down_std
colnames( downAvgsDataFrame ) <- c( "ms",
"type",
"scale",
"stds" )
downAvgsDataFrame <- na.omit( downAvgsDataFrame )
downAvgsDataFrame$type <- as.character( downAvgsDataFrame$type )
downAvgsDataFrame$type <- factor( downAvgsDataFrame$type, levels=unique( downAvgsDataFrame$type ) )
sumOfDownAvgs <- fileData[ 'down_ofp_to_dev_avg' ] +
fileData[ 'down_dev_to_link_avg' ] +
fileData[ 'down_link_to_graph_avg' ]
print( "Down Averages Results:" )
print( downAvgsDataFrame )
# **********************************************************
# 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.
barWidth <- 1
xScaleConfig <- scale_x_continuous( breaks=c( 1, 3, 5, 7, 9 ) )
xLabel <- xlab( "Scale" )
yLabel <- ylab( "Latency (ms)" )
fillLabel <- labs( fill="Type" )
wrapLegend <- guides( fill=guide_legend( nrow=1, byrow=TRUE ) )
imageWidth <- 15
imageHeight <- 10
imageDPI <- 200
errorBarColor <- rgb( 140, 140, 140, maxColorValue=255 )
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' ) )
colors <- scale_fill_manual( values=c( "#F77670",
"#619DFA",
"#18BA48" ) )
# --------------------------
# Port Up Generate Main Plot
# --------------------------
print( "Generating main plot (Port Up Latency)." )
mainPlot <- ggplot( data = upAvgsDataFrame, aes( x = scale,
y = ms,
fill = type,
ymin = fileData[ 'up_end_to_end_avg' ],
ymax = fileData[ 'up_end_to_end_avg' ] + stds ) )
# --------------------------------------
# Port Up Fundamental Variables Assigned
# --------------------------------------
print( "Generating fundamental graph data (Port Up Latency)." )
title <- ggtitle( "Port Up Latency" )
fundamentalGraphData <- mainPlot +
xScaleConfig +
xLabel +
yLabel +
fillLabel +
theme +
wrapLegend +
title +
colors
# -----------------------------------
# Port Up Generating Bar Graph Format
# -----------------------------------
print( "Generating bar graph with error bars (Port Up Latency)." )
barGraphFormat <- geom_bar( stat = "identity",
width = barWidth )
errorBarFormat <- geom_errorbar( width = barWidth,
color = errorBarColor )
values <- geom_text( aes( x = upAvgsDataFrame$scale,
y = sumOfUpAvgs + 0.03 * max( sumOfUpAvgs ),
label = format( sumOfUpAvgs,
digits=3,
big.mark = ",",
scientific = FALSE ) ),
size = 7.0,
fontface = "bold" )
result <- fundamentalGraphData +
barGraphFormat +
errorBarFormat +
values
# -------------------------------
# Port Up Exporting Graph to File
# -------------------------------
print( paste( "Saving bar chart with error bars (Port Up Latency) to", errBarOutputFileUp ) )
ggsave( errBarOutputFileUp,
width = imageWidth,
height = imageHeight,
dpi = imageDPI )
print( paste( "[SUCCESS] Successfully wrote bar chart with error bars (Port Up Latency) out to", errBarOutputFileUp ) )
# ----------------------------
# Port Down Generate Main Plot
# ----------------------------
print( "Generating main plot (Port Down Latency)." )
mainPlot <- ggplot( data = downAvgsDataFrame, aes( x = scale,
y = ms,
fill = type,
ymin = fileData[ 'down_end_to_end_avg' ],
ymax = fileData[ 'down_end_to_end_avg' ] + stds ) )
# ----------------------------------------
# Port Down Fundamental Variables Assigned
# ----------------------------------------
print( "Generating fundamental graph data (Port Down Latency)." )
title <- ggtitle( "Port Down Latency" )
fundamentalGraphData <- mainPlot +
xScaleConfig +
xLabel +
yLabel +
fillLabel +
theme +
wrapLegend +
title +
colors
# -------------------------------------
# Port Down Generating Bar Graph Format
# -------------------------------------
print( "Generating bar graph with error bars (Port Down Latency)." )
barGraphFormat <- geom_bar( stat = "identity",
width = barWidth )
errorBarFormat <- geom_errorbar( width = barWidth,
color = errorBarColor )
values <- geom_text( aes( x = downAvgsDataFrame$scale,
y = sumOfDownAvgs + 0.03 * max( sumOfDownAvgs ),
label = format( sumOfDownAvgs,
digits=3,
big.mark = ",",
scientific = FALSE ) ),
size = 7.0,
fontface = "bold" )
result <- fundamentalGraphData +
barGraphFormat +
errorBarFormat +
values
# ---------------------------------
# Port Down Exporting Graph to File
# ---------------------------------
print( paste( "Saving bar chart with error bars (Port Down Latency) to", errBarOutputFileDown ) )
ggsave( errBarOutputFileDown,
width = imageWidth,
height = imageHeight,
dpi = imageDPI )
print( paste( "[SUCCESS] Successfully wrote bar chart with error bars (Port Down Latency) out to", errBarOutputFileDown ) )