| # Copyright 2018 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/>. |
| # |
| # Example script: |
| # ALL tests (https://jenkins.onosproject.org/view/QA/job/postjob-VM/lastSuccessfulBuild/artifact/ALL_master_build-latest_test-suite-summary.jpg): |
| # Rscript histogramMultipleTestGroups.R <url> <port> <username> <pass> ALL master "FUNCbgpls,FUNCflow,FUNCformCluster,FUNCgroup,FUNCintent,FUNCintentRest,FUNCipv6Intent,FUNCnetCfg,FUNCnetconf,FUNCoptical,FUNCovsdbtest,FUNCvirNetNB,HAbackupRecover,HAclusterRestart,HAfullNetPartition,HAkillNodes,HAsanity,HAscaling,HAsingleInstanceRestart,HAstopNodes,HAswapNodes,HAupgrade,HAupgradeRollback,PLATdockertest,USECASE_SdnipFunction,USECASE_SdnipFunctionCluster,VPLSBasic,VPLSfailsafe" latest /path/to/save/directory/ |
| |
| # ********************************************************** |
| # STEP 1: Data management. |
| # ********************************************************** |
| |
| print( "**********************************************************" ) |
| print( "STEP 1: Data management." ) |
| print( "**********************************************************" ) |
| |
| # Command line arguments are read. Args include the database credentials, test name, branch name, and the directory to output files. |
| print( "Reading commmand-line args." ) |
| args <- commandArgs( trailingOnly=TRUE ) |
| |
| testsToInclude <- 7 |
| build_to_show <- 8 |
| save_directory <- 9 |
| |
| # ---------------- |
| # Import Libraries |
| # ---------------- |
| |
| print( "Importing libraries." ) |
| library( ggplot2 ) |
| library( reshape2 ) |
| library( RPostgreSQL ) |
| 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 ){ |
| specialArgs <- c( "tests-to-include-(as-one-string-sep-groups-by-semicolon-title-as-first-group-item-sep-by-dash)", |
| "build-to-show" ) |
| usage( "histogramMultipleTestGroups.R", specialArgs ) |
| quit( status = 1 ) |
| } |
| |
| # ------------------ |
| # SQL Initialization |
| # ------------------ |
| |
| print( "Initializing SQL" ) |
| |
| con <- initSQL( args[ database_host ], |
| args[ database_port ], |
| args[ database_u_id ], |
| args[ database_pw ] ) |
| |
| # --------------------- |
| # Test Case SQL Command |
| # --------------------- |
| |
| print( "Generating Test Case SQL command." ) |
| |
| sqlCommands <- generateGroupedTestSingleBuildSQLCommand( args[ branch_name ], |
| args[ testsToInclude ], |
| args[ build_to_show ] ) |
| |
| titles <- getTitlesFromGroupTest( args[ branch_name ], |
| args[ testsToInclude ] ) |
| |
| dbResults <- list() |
| i <- 1 |
| for ( command in sqlCommands ){ |
| dbResults[[i]] <- retrieveData( con, command ) |
| i <- i + 1 |
| } |
| |
| print( "dbResult:" ) |
| print( dbResults ) |
| |
| # ------------------------------- |
| # Create Title and Graph Filename |
| # ------------------------------- |
| |
| print( "Creating title of graph." ) |
| |
| titlePrefix <- paste( args[ graph_title ], " ", sep="" ) |
| if ( args[ graph_title ] == "ALL" ){ |
| titlePrefix <- "" |
| } |
| |
| if ( args[ build_to_show ] == "latest" ){ |
| buildTitle <- "\nLatest Test Results" |
| filebuild_to_show <- "latest" |
| } else { |
| buildTitle <- paste( " \n Build #", args[ build_to_show ], sep="" ) |
| filebuild_to_show <- args[ build_to_show ] |
| } |
| |
| title <- paste( titlePrefix, |
| "Summary of Test Suites - ", |
| args[ branch_name ], |
| buildTitle, |
| sep="" ) |
| |
| print( "Creating graph filename." ) |
| |
| outputFile <- paste( args[ save_directory ], |
| args[ graph_title ], |
| "_", |
| args[ branch_name ], |
| "_build-", |
| filebuild_to_show, |
| "_test-suite-summary.jpg", |
| sep="" ) |
| |
| # ********************************************************** |
| # STEP 2: Organize data. |
| # ********************************************************** |
| |
| print( "**********************************************************" ) |
| print( "STEP 2: Organize Data." ) |
| print( "**********************************************************" ) |
| |
| passNum <- list() |
| failNum <- list() |
| exeNum <- list() |
| skipNum <- list() |
| totalNum <- list() |
| |
| passPercent <- list() |
| failPercent <- list() |
| exePercent <- list() |
| nonExePercent <- list() |
| |
| actualPassPercent <- list() |
| actualFailPercent <- list() |
| |
| appName <- c() |
| afpName <- c() |
| nepName <- c() |
| |
| tmpPos <- c() |
| tmpCases <- c() |
| |
| for ( i in 1:length( dbResults ) ){ |
| t <- dbResults[[i]] |
| |
| passNum[[i]] <- sum( t$num_passed ) |
| failNum[[i]] <- sum( t$num_failed ) |
| exeNum[[i]] <- passNum[[i]] + failNum[[i]] |
| totalNum[[i]] <- sum( t$num_planned ) |
| skipNum[[i]] <- totalNum[[i]] - exeNum[[i]] |
| |
| passPercent[[i]] <- passNum[[i]] / exeNum[[i]] |
| failPercent[[i]] <- failNum[[i]] / exeNum[[i]] |
| exePercent[[i]] <- exeNum[[i]] / totalNum[[i]] |
| nonExePercent[[i]] <- ( 1 - exePercent[[i]] ) * 100 |
| |
| actualPassPercent[[i]] <- passPercent[[i]] * exePercent[[i]] * 100 |
| actualFailPercent[[i]] <- failPercent[[i]] * exePercent[[i]] * 100 |
| |
| appName <- c( appName, "Passed" ) |
| afpName <- c( afpName, "Failed" ) |
| nepName <- c( nepName, "Skipped/Unexecuted" ) |
| |
| tmpPos <- c( tmpPos, 100 - ( nonExePercent[[i]] / 2 ), actualPassPercent[[i]] + actualFailPercent[[i]] - ( actualFailPercent[[i]] / 2 ), actualPassPercent[[i]] - ( actualPassPercent[[i]] / 2 ) ) |
| tmpCases <- c( tmpCases, skipNum[[i]], failNum[[i]], passNum[[i]] ) |
| } |
| |
| relativePosLength <- length( dbResults ) * 3 |
| |
| relativePos <- c() |
| relativeCases <- c() |
| |
| for ( i in 1:3 ){ |
| relativePos <- c( relativePos, tmpPos[ seq( i, relativePosLength, 3 ) ] ) |
| relativeCases <- c( relativeCases, tmpCases[ seq( i, relativePosLength, 3 ) ] ) |
| } |
| names( actualPassPercent ) <- appName |
| names( actualFailPercent ) <- afpName |
| names( nonExePercent ) <- nepName |
| |
| labels <- paste( titles, "\n", totalNum, " Test Cases", sep="" ) |
| |
| # -------------------- |
| # Construct Data Frame |
| # -------------------- |
| |
| print( "Constructing Data Frame" ) |
| |
| dataFrame <- melt( c( nonExePercent, actualFailPercent, actualPassPercent ) ) |
| dataFrame$title <- seq( 1, length( dbResults ), by = 1 ) |
| colnames( dataFrame ) <- c( "perc", "key", "suite" ) |
| |
| dataFrame$xtitles <- labels |
| dataFrame$relativePos <- relativePos |
| dataFrame$relativeCases <- relativeCases |
| dataFrame$valueDisplay <- c( paste( round( dataFrame$perc, digits = 2 ), "% - ", relativeCases, " Tests", sep="" ) ) |
| |
| dataFrame$key <- factor( dataFrame$key, levels=unique( dataFrame$key ) ) |
| |
| dataFrame$willDisplayValue <- dataFrame$perc > 15.0 / length( dbResults ) |
| |
| for ( i in 1:nrow( dataFrame ) ){ |
| if ( relativeCases[[i]] == "1" ){ |
| dataFrame[ i, "valueDisplay" ] <- c( paste( round( dataFrame$perc[[i]], digits = 2 ), "% - ", relativeCases[[i]], " Test", sep="" ) ) |
| } |
| if ( !dataFrame[ i, "willDisplayValue" ] ){ |
| dataFrame[ i, "valueDisplay" ] <- "" |
| } |
| } |
| |
| print( "Data Frame Results:" ) |
| print( dataFrame ) |
| |
| # ********************************************************** |
| # STEP 3: Generate graphs. |
| # ********************************************************** |
| |
| print( "**********************************************************" ) |
| print( "STEP 3: Generate Graph." ) |
| print( "**********************************************************" ) |
| |
| # ------------------- |
| # Main Plot Generated |
| # ------------------- |
| |
| print( "Creating main plot." ) |
| |
| mainPlot <- ggplot( data = dataFrame, aes( x = suite, |
| y = perc, |
| fill = key ) ) |
| |
| # ------------------------------ |
| # Fundamental Variables Assigned |
| # ------------------------------ |
| |
| print( "Generating fundamental graph data." ) |
| |
| theme_set( theme_grey( base_size = 26 ) ) # set the default text size of the graph. |
| |
| xScaleConfig <- scale_x_continuous( breaks = dataFrame$suite, |
| label = dataFrame$xtitles ) |
| yScaleConfig <- scale_y_continuous( breaks = seq( 0, 100, |
| by = 10 ) ) |
| |
| xLabel <- xlab( "" ) |
| yLabel <- ylab( "Total Test Cases (%)" ) |
| |
| theme <- graphTheme() + theme( axis.text.x = element_text( angle = 0, size = 25 - 1.25 * length( dbResults ) ) ) |
| |
| title <- labs( title = title, subtitle = lastUpdatedLabel() ) |
| |
| # Store plot configurations as 1 variable |
| fundamentalGraphData <- mainPlot + |
| xScaleConfig + |
| yScaleConfig + |
| xLabel + |
| yLabel + |
| theme + |
| title |
| |
| # --------------------------- |
| # Generating Bar Graph Format |
| # --------------------------- |
| |
| print( "Generating bar graph." ) |
| |
| unexecutedColor <- webColor( "gray" ) # Gray |
| failedColor <- webColor( "red" ) # Red |
| passedColor <- webColor( "green" ) # Green |
| |
| colors <- scale_fill_manual( values=c( if ( "Skipped/Unexecuted" %in% dataFrame$key ){ unexecutedColor }, |
| if ( "Failed" %in% dataFrame$key ){ failedColor }, |
| if ( "Passed" %in% dataFrame$key ){ passedColor } ) ) |
| |
| barGraphFormat <- geom_bar( stat = "identity", width = 0.8 ) |
| |
| barGraphValues <- geom_text( aes( x = dataFrame$suite, |
| y = dataFrame$relativePos, |
| label = format( paste( dataFrame$valueDisplay ) ) ), |
| size = 15.50 / length( dbResults ) + 2.33, fontface = "bold" ) |
| |
| result <- fundamentalGraphData + |
| colors + |
| barGraphFormat + |
| barGraphValues |
| |
| # ----------------------- |
| # Exporting Graph to File |
| # ----------------------- |
| |
| saveGraph( outputFile ) # from saveGraph.R |