| # 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 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[ 7 ], |
| "SCPFportLat_", |
| args[ 6 ], |
| "_UpErrBarWithStack.jpg", |
| sep = "" ) |
| |
| errBarOutputFileDown <- paste( args[ 7 ], |
| "SCPFportLat_", |
| args[ 6 ], |
| "_DownErrBarWithStack.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 ] ) |
| |
| # ------------------------ |
| # Port Latency SQL Command |
| # ------------------------ |
| |
| print( "Generating Port Latency SQL Command" ) |
| |
| command <- paste( "SELECT * FROM port_latency_details WHERE branch = '", |
| args[ 6 ], |
| "' AND date IN ( SELECT MAX( date ) FROM port_latency_details 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( "**********************************************************" ) |
| |
| # ----------------------------- |
| # 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 ) ) |