TestON/JenkinsFile/wikiGraphRScripts/trendIndividualTest.R - OnosSystemTest - Gitiles

 # 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/>.
 #
 # Example script:
 # FUNCintent Results 20 Builds (https://jenkins.onosproject.org/view/QA/job/postjob-VM/lastSuccessfulBuild/artifact/FUNCintent_master_20-builds_graph.jpg):
 # Rscript trendIndividualTest.R <url> <port> <username> <pass> FUNCintent master 20 /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 )

 # Args 1 through 6 reside in fundamentalGraphData.R
 buildsToShow <- 7
 save_directory <- 8

 # ----------------
 # 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(  "#-builds-to-show" )
     usage( "trendIndividualTest.R", specialArgs )
     quit( status = 1 )
 }

 # -------------------------------
 # Create Title and Graph Filename
 # -------------------------------

 print( "Creating title of graph." )

 title <- paste( args[ graph_title ],
                 " - ",
                 args[ branch_name ],
                 " \n Results of Last ",
                 args[ buildsToShow ],
                 " Builds",
                 sep="" )

 print( "Creating graph filename." )

 outputFile <- paste( args[ save_directory ],
                      args[ graph_title ],
                      "_",
                      args[ branch_name ],
                      "_",
                      args[ buildsToShow ],
                      "-builds_graph.jpg",
                      sep="" )

 # ------------------
 # 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." )

 command <- simpleSQLCommand( args[ graph_title ], args[ branch_name ], args[ buildsToShow ] )

 fileData <- retrieveData( con, command )

 # **********************************************************
 # STEP 2: Organize data.
 # **********************************************************

 print( "**********************************************************" )
 print( "STEP 2: Organize Data." )
 print( "**********************************************************" )

 # -------------------------------------------------------
 # Combining Passed, Failed, and Planned Data
 # -------------------------------------------------------

 print( "Combining Passed, Failed, and Planned Data." )

 requiredColumns <- c( "num_failed", "num_passed", "num_planned" )

 tryCatch( categories <- 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 )
           }
          )

 # --------------------
 # Construct Data Frame
 # --------------------

 print( "Constructing data frame from combined data." )

 dataFrame <- melt( categories )

 # Rename column names in dataFrame
 colnames( dataFrame ) <- c( "Tests",
                             "Status" )

 # Add build dates to the dataFrame
 dataFrame$build <- fileData$build

 # Format data frame so that the data is in the same order as it appeared in the file.
 dataFrame$Status <- as.character( dataFrame$Status )
 dataFrame$Status <- factor( dataFrame$Status, levels = unique( dataFrame$Status ) )

 # Add planned, passed, and failed results to the dataFrame (for the fill below the lines)
 dataFrame$num_planned <- fileData$num_planned
 dataFrame$num_passed <- fileData$num_passed
 dataFrame$num_failed <- fileData$num_failed

 # Adding a temporary reversed iterative list to the dataFrame so that there are no gaps in-between build numbers.
 dataFrame$iterative <- rev( seq( 1, nrow( fileData ), by = 1 ) )

 # Omit any data that doesn't exist
 dataFrame <- na.omit( dataFrame )

 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 = iterative,
                                            y = Tests,
                                            color = Status ) )

 # -------------------
 # Main Plot Formatted
 # -------------------

 print( "Formatting main plot." )

 # geom_ribbon is used so that there is a colored fill below the lines. These values shouldn't be changed.
 failedColor <- geom_ribbon( aes( ymin = 0,
                                  ymax = dataFrame$num_failed ),
                                  fill = webColor( "red" ),
                                  linetype = 0,
                                  alpha = 0.07 )

 passedColor <- geom_ribbon( aes( ymin = 0,
                                  ymax = dataFrame$num_passed ),
                                  fill = webColor( "green" ),
                                  linetype = 0,
                                  alpha = 0.05 )

 plannedColor <- geom_ribbon( aes( ymin = 0,
                                   ymax = dataFrame$num_planned ),
                                   fill = webColor( "blue" ),
                                   linetype = 0,
                                   alpha = 0.01 )

 # Colors for the lines
 lineColors <- scale_color_manual( values=c( webColor( "red" ),
                                             webColor( "green" ),
                                             webColor( "blue" ) ) )

 # ------------------------------
 # Fundamental Variables Assigned
 # ------------------------------

 print( "Generating fundamental graph data." )

 defaultTextSize()

 xScaleConfig <- scale_x_continuous( breaks = dataFrame$iterative,
                                     label = dataFrame$build )
 yScaleConfig <- scale_y_continuous( breaks = seq( 0, max( dataFrame$Tests ),
                                     by = ceiling( max( dataFrame$Tests ) / 10 ) ) )

 xLabel <- xlab( "Build Number" )
 yLabel <- ylab( "Test Cases" )

 legendLabels <- scale_colour_discrete( labels = c( "Failed Cases",
                                                    "Passed Cases",
                                                    "Planned Cases" ) )

 title <- labs( title = title, subtitle = lastUpdatedLabel() )

 # Store plot configurations as 1 variable
 fundamentalGraphData <- mainPlot +
                         plannedColor +
                         passedColor +
                         failedColor +
                         xScaleConfig +
                         yScaleConfig +
                         xLabel +
                         yLabel +
                         lineColors +
                         legendLabels +
                         graphTheme() +  # from fundamentalGraphData.R
                         title

 # ----------------------------
 # Generating Line Graph Format
 # ----------------------------

 print( "Generating line graph." )

 lineGraphFormat <- geom_line( size = 1.1 )
 pointFormat <- geom_point( size = 3 )

 result <- fundamentalGraphData +
            lineGraphFormat +
            pointFormat

 # -----------------------
 # Exporting Graph to File
 # -----------------------

 saveGraph( outputFile ) # from saveGraph.R
	# 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/>.
	#
	# Example script:
	# FUNCintent Results 20 Builds (https://jenkins.onosproject.org/view/QA/job/postjob-VM/lastSuccessfulBuild/artifact/FUNCintent_master_20-builds_graph.jpg):
	# Rscript trendIndividualTest.R <url> <port> <username> <pass> FUNCintent master 20 /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 )

	# Args 1 through 6 reside in fundamentalGraphData.R
	buildsToShow <- 7
	save_directory <- 8

	# ----------------
	# 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( "#-builds-to-show" )
	usage( "trendIndividualTest.R", specialArgs )
	quit( status = 1 )
	}

	# -------------------------------
	# Create Title and Graph Filename
	# -------------------------------

	print( "Creating title of graph." )

	title <- paste( args[ graph_title ],
	" - ",
	args[ branch_name ],
	" \n Results of Last ",
	args[ buildsToShow ],
	" Builds",
	sep="" )

	print( "Creating graph filename." )

	outputFile <- paste( args[ save_directory ],
	args[ graph_title ],
	"_",
	args[ branch_name ],
	"_",
	args[ buildsToShow ],
	"-builds_graph.jpg",
	sep="" )

	# ------------------
	# 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." )

	command <- simpleSQLCommand( args[ graph_title ], args[ branch_name ], args[ buildsToShow ] )

	fileData <- retrieveData( con, command )

	# **********************************************************
	# STEP 2: Organize data.
	# **********************************************************

	print( "**********************************************************" )
	print( "STEP 2: Organize Data." )
	print( "**********************************************************" )

	# -------------------------------------------------------
	# Combining Passed, Failed, and Planned Data
	# -------------------------------------------------------

	print( "Combining Passed, Failed, and Planned Data." )

	requiredColumns <- c( "num_failed", "num_passed", "num_planned" )

	tryCatch( categories <- 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 )
	}
	)

	# --------------------
	# Construct Data Frame
	# --------------------

	print( "Constructing data frame from combined data." )

	dataFrame <- melt( categories )

	# Rename column names in dataFrame
	colnames( dataFrame ) <- c( "Tests",
	"Status" )

	# Add build dates to the dataFrame
	dataFrame$build <- fileData$build

	# Format data frame so that the data is in the same order as it appeared in the file.
	dataFrame$Status <- as.character( dataFrame$Status )
	dataFrame$Status <- factor( dataFrame$Status, levels = unique( dataFrame$Status ) )

	# Add planned, passed, and failed results to the dataFrame (for the fill below the lines)
	dataFrame$num_planned <- fileData$num_planned
	dataFrame$num_passed <- fileData$num_passed
	dataFrame$num_failed <- fileData$num_failed

	# Adding a temporary reversed iterative list to the dataFrame so that there are no gaps in-between build numbers.
	dataFrame$iterative <- rev( seq( 1, nrow( fileData ), by = 1 ) )

	# Omit any data that doesn't exist
	dataFrame <- na.omit( dataFrame )

	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 = iterative,
	y = Tests,
	color = Status ) )

	# -------------------
	# Main Plot Formatted
	# -------------------

	print( "Formatting main plot." )

	# geom_ribbon is used so that there is a colored fill below the lines. These values shouldn't be changed.
	failedColor <- geom_ribbon( aes( ymin = 0,
	ymax = dataFrame$num_failed ),
	fill = webColor( "red" ),
	linetype = 0,
	alpha = 0.07 )

	passedColor <- geom_ribbon( aes( ymin = 0,
	ymax = dataFrame$num_passed ),
	fill = webColor( "green" ),
	linetype = 0,
	alpha = 0.05 )

	plannedColor <- geom_ribbon( aes( ymin = 0,
	ymax = dataFrame$num_planned ),
	fill = webColor( "blue" ),
	linetype = 0,
	alpha = 0.01 )

	# Colors for the lines
	lineColors <- scale_color_manual( values=c( webColor( "red" ),
	webColor( "green" ),
	webColor( "blue" ) ) )

	# ------------------------------
	# Fundamental Variables Assigned
	# ------------------------------

	print( "Generating fundamental graph data." )

	defaultTextSize()

	xScaleConfig <- scale_x_continuous( breaks = dataFrame$iterative,
	label = dataFrame$build )
	yScaleConfig <- scale_y_continuous( breaks = seq( 0, max( dataFrame$Tests ),
	by = ceiling( max( dataFrame$Tests ) / 10 ) ) )

	xLabel <- xlab( "Build Number" )
	yLabel <- ylab( "Test Cases" )

	legendLabels <- scale_colour_discrete( labels = c( "Failed Cases",
	"Passed Cases",
	"Planned Cases" ) )

	title <- labs( title = title, subtitle = lastUpdatedLabel() )

	# Store plot configurations as 1 variable
	fundamentalGraphData <- mainPlot +
	plannedColor +
	passedColor +
	failedColor +
	xScaleConfig +
	yScaleConfig +
	xLabel +
	yLabel +
	lineColors +
	legendLabels +
	graphTheme() + # from fundamentalGraphData.R
	title

	# ----------------------------
	# Generating Line Graph Format
	# ----------------------------

	print( "Generating line graph." )

	lineGraphFormat <- geom_line( size = 1.1 )
	pointFormat <- geom_point( size = 3 )

	result <- fundamentalGraphData +
	lineGraphFormat +
	pointFormat

	# -----------------------
	# Exporting Graph to File
	# -----------------------

	saveGraph( outputFile ) # from saveGraph.R