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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/>.
#
# Example script:
# FUNC Test Results Trend (https://jenkins.onosproject.org/view/QA/job/postjob-VM/lastSuccessfulBuild/artifact/FUNC_master_overview.jpg):
# Rscript trendMultipleTests.R <url> <port> <username> <pass> FUNC master "FUNCflow,FUNCformCluster,FUNCgroup,FUNCintent,FUNCintentRest,FUNCipv6Intent,FUNCnetCfg,FUNCnetconf,FUNCoptical,FUNCovsdbtest" 20 /path/to/save/directory/
# **********************************************************
# STEP 1: Data management.
# **********************************************************
print( "**********************************************************" )
print( "STEP 1: Data management." )
print( "**********************************************************" )
tests_to_include <- 7
builds_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." )
args <- commandArgs( trailingOnly=TRUE )
if ( length( args ) != save_directory ){
specialArgs <- c( "tests-to-include-(as-one-string)",
"builds-to-show" )
usage( "trendMultipleTests.R", specialArgs )
quit( status = 1 )
}
# -------------------------------
# Create Title and Graph Filename
# -------------------------------
print( "Creating title of graph." )
title <- paste( args[ graph_title ],
" Test Results Trend - ",
args[ branch_name ],
" \n Results of Last ",
args[ builds_to_show ],
" Nightly Builds",
sep="" )
print( "Creating graph filename." )
outputFile <- paste( args[ save_directory ],
args[ graph_title ],
"_",
args[ branch_name ],
"_overview.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 <- generateMultiTestMultiBuildSQLCommand( args[ branch_name ],
args[ tests_to_include ],
args[ builds_to_show ] )
dbResult <- retrieveData( con, command )
maxBuild <- max( dbResult[ 'build' ] ) - strtoi( args[ builds_to_show ] )
dbResult <- dbResult[ which( dbResult[,4] > maxBuild ), ]
# **********************************************************
# STEP 2: Organize data.
# **********************************************************
print( "**********************************************************" )
print( "STEP 2: Organize Data." )
print( "**********************************************************" )
t <- subset( dbResult, select=c( "actual_test_name", "build", "num_failed" ) )
t$num_failed <- ceiling( t$num_failed / ( t$num_failed + 1 ) )
t$num_planned <- 1
fileData <- aggregate( t$num_failed, by=list( Category=t$build ), FUN=sum )
colnames( fileData ) <- c( "build", "num_failed" )
fileData$num_planned <- ( aggregate( t$num_planned, by=list( Category=t$build ), FUN=sum ) )$x
fileData$num_passed <- fileData$num_planned - fileData$num_failed
print(fileData)
# --------------------
# Construct Data Frame
# --------------------
#
dataFrame <- melt( subset( fileData, select=c( "num_failed", "num_passed", "num_planned" ) ) )
dataFrame$build <- fileData$build
colnames( dataFrame ) <- c( "status", "results", "build" )
dataFrame$num_failed <- fileData$num_failed
dataFrame$num_passed <- fileData$num_passed
dataFrame$num_planned <- fileData$num_planned
dataFrame$iterative <- seq( 1, nrow( fileData ), by = 1 )
print( "Data Frame Results:" )
print( dataFrame )
# **********************************************************
# STEP 3: Generate graphs.
# **********************************************************
print( "**********************************************************" )
print( "STEP 3: Generate Graph." )
print( "**********************************************************" )
# -------------------
# Main Plot Generated
# -------------------
print( "Creating main plot." )
# Create the primary plot here.
# ggplot contains the following arguments:
# - data: the data frame that the graph will be based off of
# - aes: the asthetics of the graph which require:
# - x: x-axis values (usually iterative, but it will become build # later)
# - y: y-axis values (usually tests)
# - color: the category of the colored lines (usually status of test)
mainPlot <- ggplot( data = dataFrame, aes( x = iterative,
y = results,
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( "light_blue" ),
linetype = 0,
alpha = 0.05 )
plannedColor <- geom_ribbon( aes( ymin = 0,
ymax = dataFrame$num_planned ),
fill = webColor( "black" ),
linetype = 0,
alpha = 0.01 )
# Colors for the lines
lineColors <- scale_color_manual( values=c( webColor( "red" ),
webColor( "light_blue" ),
webColor( "black" )),
labels = c( "Containing Failures",
"No Failures",
"Total Built" ) )
# ------------------------------
# Fundamental Variables Assigned
# ------------------------------
print( "Generating fundamental graph data." )
defaultTextSize()
xScaleConfig <- scale_x_continuous( breaks = dataFrame$iterative,
label = dataFrame$build )
yScaleConfig <- scale_y_continuous( breaks = seq( 0, max( dataFrame$results ),
by = ceiling( max( dataFrame$results ) / 10 ) ) )
xLabel <- xlab( "Build Number" )
yLabel <- ylab( "Tests" )
theme <- graphTheme()
title <- labs( title = title, subtitle = lastUpdatedLabel( Sys.time() ) )
# Store plot configurations as 1 variable
fundamentalGraphData <- mainPlot +
plannedColor +
passedColor +
failedColor +
xScaleConfig +
yScaleConfig +
xLabel +
yLabel +
theme +
title +
lineColors
# ----------------------------
# 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 )