| # 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. |
| # ********************************************************** |
| database_host = 1 |
| database_port = 2 |
| database_u_id = 3 |
| database_pw = 4 |
| test_name = 5 |
| branch_name = 6 |
| 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 |
| |
| # ------------------- |
| # Check CLI Arguments |
| # ------------------- |
| |
| print( "Verifying CLI args." ) |
| |
| if ( is.na( args[ save_directory ] ) ){ |
| |
| print( paste( "Usage: Rscript SCPFbatchFlowResp.R", |
| "<database-host>", |
| "<database-port>", |
| "<database-user-id>", |
| "<database-password>", |
| "<test-name>", |
| "<branch-name>", |
| "<using-old-flow>", |
| "<directory-to-save-graphs>", |
| sep=" " ) ) |
| |
| quit( status = 1 ) # basically exit(), but in R |
| } |
| |
| # ----------------- |
| # Create File Names |
| # ----------------- |
| |
| print( "Creating filenames and title of graph." ) |
| |
| postOutputFile <- paste( args[ save_directory ], |
| args[ test_name ], |
| "_", |
| args[ branch_name ], |
| if( args[ old_flow ] == "y" ) "_OldFlow" else "", |
| "_PostGraph.jpg", |
| sep="" ) |
| |
| delOutputFile <- paste( args[ save_directory ], |
| args[ test_name ], |
| "_", |
| 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 <- dbConnect( dbDriver( "PostgreSQL" ), |
| dbname = "onostest", |
| host = args[ database_host ], |
| port = strtoi( args[ database_port ] ), |
| user = args[ database_u_id ], |
| password = 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="" ) |
| |
| print( "Sending SQL command:" ) |
| print( command ) |
| |
| fileData <- dbGetQuery( con, command ) |
| |
| |
| # ********************************************************** |
| # STEP 2: Organize data. |
| # ********************************************************** |
| |
| print( "**********************************************************" ) |
| print( "STEP 2: Organize Data." ) |
| print( "**********************************************************" ) |
| |
| # ----------------- |
| # 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." ) |
| |
| theme_set( theme_grey( base_size = 22 ) ) # set the default text size of the graph. |
| xLabel <- xlab( "Build Date" ) |
| yLabel <- ylab( "Latency (s)" ) |
| fillLabel <- labs( fill="Type" ) |
| colors <- scale_fill_manual( values=c( "#F77670", "#619DFA" ) ) |
| wrapLegend <- guides( fill=guide_legend( nrow=1, byrow=TRUE ) ) |
| barWidth <- 0.3 |
| 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' ), |
| 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="" ) |
| |
| 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 = subtitle ) |
| |
| 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$iterative, |
| y = sum + 0.03 * max( sum ), |
| label = format( sum, |
| digits = 3, |
| big.mark = ",", |
| scientific = FALSE ) ), |
| size = 7.0, |
| fontface = "bold" ) |
| |
| result <- fundamentalGraphData + |
| barGraphFormat + |
| values |
| |
| # ---------------------------- |
| # Post Exporting Graph to File |
| # ---------------------------- |
| |
| print( paste( "Saving Post bar chart to", postOutputFile ) ) |
| |
| tryCatch( ggsave( postOutputFile, |
| width = imageWidth, |
| height = imageHeight, |
| dpi = imageDPI ), |
| error = function( e ){ |
| print( "[ERROR] There was a problem saving the graph due to a graph formatting exception. Error dump:" ) |
| print( e ) |
| quit( status = 1 ) |
| } |
| ) |
| |
| print( paste( "[SUCCESS] Successfully wrote stacked bar chart out to", postOutputFile ) ) |
| |
| # ---------------------- |
| # Del Generate Main Plot |
| # ---------------------- |
| |
| print( "Creating main plot for Del graph." ) |
| |
| mainPlot <- ggplot( data = delDataFrame, aes( x = iterative, |
| y = ms, |
| fill = type ) ) |
| |
| # ---------------------------------- |
| # Del Fundamental Variables Assigned |
| # ---------------------------------- |
| |
| print( "Generating fundamental graph data for Del graph." ) |
| |
| xScaleConfig <- scale_x_continuous( breaks = delDataFrame$iterative, |
| label = delDataFrame$date ) |
| |
| title <- labs( title = delChartTitle, subtitle = subtitle ) |
| |
| fundamentalGraphData <- mainPlot + |
| xScaleConfig + |
| xLabel + |
| yLabel + |
| fillLabel + |
| theme + |
| wrapLegend + |
| colors + |
| title |
| |
| # ------------------------------- |
| # Del Generating Bar Graph Format |
| # ------------------------------- |
| |
| print( "Generating bar graph for Del graph." ) |
| |
| sum <- fileData[ 'deltoconfrm' ] + |
| fileData[ 'elapsedel' ] |
| |
| values <- geom_text( aes( x = delDataFrame$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 |
| # --------------------------- |
| |
| print( paste( "Saving Del bar chart to", delOutputFile ) ) |
| |
| tryCatch( ggsave( delOutputFile, |
| 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 stacked bar chart out to", delOutputFile ) ) |
| quit( status = 0 ) |