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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
#
# Example script:
# Single Bench Flow Latency Graph with Eventually Consistent Flow Rule Store (https://jenkins.onosproject.org/view/QA/job/postjob-BM/lastSuccessfulBuild/artifact/SCPFbatchFlowResp_master_OldFlow_PostGraph.jpg):
# Rscript SCPFbatchFlowResp.R <url> <port> <username> <pass> SCPFbatchFlowResp.R master y /path/to/save/directory/
# **********************************************************
# STEP 1: Data management.
# **********************************************************
old_flow <- 7
save_directory <- 8
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
source( "~/OnosSystemTest/TestON/JenkinsFile/wikiGraphRScripts/dependencies/saveGraph.R" )
source( "~/OnosSystemTest/TestON/JenkinsFile/wikiGraphRScripts/dependencies/fundamentalGraphData.R" )
source( "~/OnosSystemTest/TestON/JenkinsFile/wikiGraphRScripts/dependencies/initSQL.R" )
source( "~/OnosSystemTest/TestON/JenkinsFile/wikiGraphRScripts/dependencies/cliArgs.R" )
# -------------------
# Check CLI Arguments
# -------------------
print( "Verifying CLI args." )
if ( length( args ) != save_directory ){
usage( "SCPFbatchFlowResp.R", c( "using-old-flow" ) )
quit( status = 1 )
}
# -----------------
# Create File Names
# -----------------
print( "Creating filenames and title of graph." )
postOutputFile <- paste( args[ save_directory ],
args[ graph_title ],
"_",
args[ branch_name ],
if( args[ old_flow ] == "y" ) "_OldFlow" else "",
"_PostGraph.jpg",
sep="" )
delOutputFile <- paste( args[ save_directory ],
args[ graph_title ],
"_",
args[ branch_name ],
if( args[ old_flow ] == "y" ) "_OldFlow" else "",
"_DelGraph.jpg",
sep="" )
postChartTitle <- paste( "Single Bench Flow Latency - Post\n",
"Last 3 Builds",
if( args[ old_flow ] == "y" ) "\nWith Eventually Consistent Flow Rule Store" else "",
sep = "" )
delChartTitle <- paste( "Single Bench Flow Latency - Del\n",
"Last 3 Builds",
if( args[ old_flow ] == "y" ) "\nWith Eventually Consistent Flow Rule Store" else "",
sep = "" )
# ------------------
# SQL Initialization
# ------------------
print( "Initializing SQL" )
con <- initSQL( args[ database_host ],
args[ database_port ],
args[ database_u_id ],
args[ database_pw ] )
# ---------------------------
# Batch Flow Resp SQL Command
# ---------------------------
print( "Generating Batch Flow Resp SQL Command" )
command <- paste( "SELECT * FROM batch_flow_tests WHERE branch='",
args[ branch_name ],
"' AND " ,
( if( args[ old_flow ] == 'y' ) "" else "NOT " ) ,
"is_old_flow",
" ORDER BY date DESC LIMIT 3",
sep="" )
fileData <- retrieveData( con, command )
# **********************************************************
# STEP 2: Organize data.
# **********************************************************
print( "**********************************************************" )
print( "STEP 2: Organize Data." )
print( "**********************************************************" )
latestBuildDate <- fileData$date[1]
# -----------------
# Post Data Sorting
# -----------------
print( "Sorting data for Post." )
requiredColumns <- c( "posttoconfrm", "elapsepost" )
tryCatch( postAvgs <- c( fileData[ requiredColumns] ),
error = function( e ) {
print( "[ERROR] One or more expected columns are missing from the data. Please check that the data and SQL command are valid, then try again." )
print( "Required columns: " )
print( requiredColumns )
print( "Actual columns: " )
print( names( fileData ) )
print( "Error dump:" )
print( e )
quit( status = 1 )
}
)
# -------------------------
# Post Construct Data Frame
# -------------------------
postDataFrame <- melt( postAvgs )
postDataFrame$scale <- fileData$scale
postDataFrame$date <- fileData$date
postDataFrame$iterative <- rev( seq( 1, nrow( fileData ), by = 1 ) )
colnames( postDataFrame ) <- c( "ms",
"type",
"scale",
"date",
"iterative" )
# Format data frame so that the data is in the same order as it appeared in the file.
postDataFrame$type <- as.character( postDataFrame$type )
postDataFrame$type <- factor( postDataFrame$type,
levels = unique( postDataFrame$type ) )
postDataFrame <- na.omit( postDataFrame ) # Omit any data that doesn't exist
print( "Post Data Frame Results:" )
print( postDataFrame )
# ----------------
# Del Data Sorting
# ----------------
requiredColumns <- c( "deltoconfrm", "elapsedel" )
tryCatch( delAvgs <- c( fileData[ requiredColumns] ),
error = function( e ) {
print( "[ERROR] One or more expected columns are missing from the data. Please check that the data and SQL command are valid, then try again." )
print( "Required columns: " )
print( requiredColumns )
print( "Actual columns: " )
print( names( fileData ) )
print( "Error dump:" )
print( e )
quit( status = 1 )
}
)
# ------------------------
# Del Construct Data Frame
# ------------------------
delDataFrame <- melt( delAvgs )
delDataFrame$scale <- fileData$scale
delDataFrame$date <- fileData$date
delDataFrame$iterative <- rev( seq( 1, nrow( fileData ), by = 1 ) )
colnames( delDataFrame ) <- c( "ms",
"type",
"scale",
"date",
"iterative" )
# Format data frame so that the data is in the same order as it appeared in the file.
delDataFrame$type <- as.character( delDataFrame$type )
delDataFrame$type <- factor( delDataFrame$type,
levels = unique( delDataFrame$type ) )
delDataFrame <- na.omit( delDataFrame ) # Omit any data that doesn't exist
print( "Del Data Frame Results:" )
print( delDataFrame )
# **********************************************************
# STEP 3: Generate graphs.
# **********************************************************
print( "**********************************************************" )
print( "STEP 3: Generate Graph." )
print( "**********************************************************" )
# ------------------------------------------
# Initializing variables used in both graphs
# ------------------------------------------
print( "Initializing variables used in both graphs." )
defaultTextSize()
xLabel <- xlab( "Build Date" )
yLabel <- ylab( "Latency (ms)" )
fillLabel <- labs( fill="Type" )
colors <- scale_fill_manual( values=c( webColor( "redv2" ),
webColor( "light_blue" ) ) )
wrapLegend <- guides( fill=guide_legend( nrow=1, byrow=TRUE ) )
barWidth <- 0.3
theme <- graphTheme()
barGraphFormat <- geom_bar( stat = "identity",
width = barWidth )
# -----------------------
# Post Generate Main Plot
# -----------------------
print( "Creating main plot for Post graph." )
mainPlot <- ggplot( data = postDataFrame, aes( x = iterative,
y = ms,
fill = type ) )
# -----------------------------------
# Post Fundamental Variables Assigned
# -----------------------------------
print( "Generating fundamental graph data for Post graph." )
xScaleConfig <- scale_x_continuous( breaks = postDataFrame$iterative,
label = postDataFrame$date )
title <- labs( title = postChartTitle, subtitle = lastUpdatedLabel( latestBuildDate ) )
fundamentalGraphData <- mainPlot +
xScaleConfig +
xLabel +
yLabel +
fillLabel +
theme +
wrapLegend +
colors +
title
# --------------------------------
# Post Generating Bar Graph Format
# --------------------------------
print( "Generating bar graph for Post graph." )
sum <- fileData[ 'posttoconfrm' ] +
fileData[ 'elapsepost' ]
values <- geom_text( aes( x = postDataFrame$iterative,
y = sum + 0.03 * max( sum ),
label = format( sum,
digits = 3,
big.mark = ",",
scientific = FALSE ) ),
size = 7.0,
fontface = "bold" )
result <- fundamentalGraphData +
barGraphFormat +
values
# ----------------------------
# Post Exporting Graph to File
# ----------------------------
saveGraph( postOutputFile )
# ----------------------
# Del Generate Main Plot
# ----------------------
print( "Creating main plot for Del graph." )
mainPlot <- ggplot( data = delDataFrame, aes( x = iterative,
y = ms,
fill = type ) )
# ----------------------------------
# Del Fundamental Variables Assigned
# ----------------------------------
print( "Generating fundamental graph data for Del graph." )
xScaleConfig <- scale_x_continuous( breaks = delDataFrame$iterative,
label = delDataFrame$date )
title <- labs( title = delChartTitle, subtitle = lastUpdatedLabel( latestBuildDate ) )
fundamentalGraphData <- mainPlot +
xScaleConfig +
xLabel +
yLabel +
fillLabel +
theme +
wrapLegend +
colors +
title
# -------------------------------
# Del Generating Bar Graph Format
# -------------------------------
print( "Generating bar graph for Del graph." )
sum <- fileData[ 'deltoconfrm' ] +
fileData[ 'elapsedel' ]
values <- geom_text( aes( x = delDataFrame$iterative,
y = sum + 0.03 * max( sum ),
label = format( sum,
digits = 3,
big.mark = ",",
scientific = FALSE ) ),
size = 7.0,
fontface = "bold" )
result <- fundamentalGraphData +
barGraphFormat +
title +
values
# ---------------------------
# Del Exporting Graph to File
# ---------------------------
saveGraph( delOutputFile )
quit( status = 0 )