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# 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 scripts:
#
# ALL tests with pass/fail (https://jenkins.onosproject.org/view/QA/job/postjob-VM/lastSuccessfulBuild/artifact/ALL_master_build-latest_executed_pieChart.jpg):
# Rscript pieMultipleTests.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 y /path/to/save/directory/
#
# ALL tests with execution result (https://jenkins.onosproject.org/view/QA/job/postjob-VM/lastSuccessfulBuild/artifact/ALL_master_build-latest_passfail_pieChart.jpg):
# Rscript pieMultipleTests.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 n /path/to/save/directory/
# **********************************************************
# STEP 1: Data management.
# **********************************************************
print( "**********************************************************" )
print( "STEP 1: Data management." )
print( "**********************************************************" )
tests_to_include <- 7
build_to_show <- 8
is_displaying_plan <- 9
save_directory <- 10
# ----------------
# 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 ( is.na( args[ save_directory ] ) ){
# Check if sufficient args are provided.
if ( length( args ) != save_directory ){
specialArgs <- c( "tests-to-include",
"build-to-show",
"is-displaying-plan" )
usage( "trendSCPF.R", specialArgs )
quit( status = 1 )
}
}
# ------------------
# 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 ] )
# ---------------------
# Test Case SQL Command
# ---------------------
print( "Generating Test Case SQL command." )
command <- generateMultiTestSingleBuildSQLCommand( args[ branch_name ],
args[ tests_to_include ],
args[ build_to_show ] )
dbResult <- retrieveData( con, command )
print( "dbResult:" )
print( dbResult )
# -------------------------------
# Create Title and Graph Filename
# -------------------------------
print( "Creating title of graph." )
typeOfPieTitle <- "Executed Results"
typeOfPieFile <- "_passfail"
isPlannedPie <- FALSE
if ( args[ is_displaying_plan ] == "y" ){
typeOfPieTitle <- "Test Execution"
typeOfPieFile <- "_executed"
isPlannedPie <- TRUE
}
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( args[ graph_title ],
" Tests: Summary of ",
typeOfPieTitle,
"",
" - ",
args[ branch_name ],
buildTitle,
sep="" )
print( "Creating graph filename." )
outputFile <- paste( args[ save_directory ],
args[ graph_title ],
"_",
args[ branch_name ],
"_build-",
filebuild_to_show,
typeOfPieFile,
"_pieChart.jpg",
sep="" )
# **********************************************************
# STEP 2: Organize data.
# **********************************************************
print( "**********************************************************" )
print( "STEP 2: Organize Data." )
print( "**********************************************************" )
t <- subset( dbResult, select=c( "actual_test_name", "num_passed", "num_failed", "num_planned" ) )
executedTests <- sum( t$num_passed ) + sum( t$num_failed )
# --------------------
# Construct Data Frame
# --------------------
print( "Constructing Data Frame." )
if ( isPlannedPie ){
nonExecutedTests <- sum( t$num_planned ) - executedTests
totalTests <- sum( t$num_planned )
executedPercent <- round( executedTests / totalTests * 100, digits = 2 )
nonExecutedPercent <- 100 - executedPercent
dfData <- c( nonExecutedPercent, executedPercent )
labels <- c( "Executed Test Cases", "Skipped Test Cases" )
dataFrame <- data.frame(
rawData <- dfData,
displayedData <- c( paste( nonExecutedPercent, "%\n", nonExecutedTests, " / ", totalTests, " Tests", sep="" ), paste( executedPercent, "%\n", executedTests, " / ", totalTests," Tests", sep="" ) ),
names <- factor( rev( labels ), levels = labels ) )
} else {
sumPassed <- sum( t$num_passed )
sumFailed <- sum( t$num_failed )
sumExecuted <- sumPassed + sumFailed
percentPassed <- sumPassed / sumExecuted
percentFailed <- sumFailed / sumExecuted
dfData <- c( percentFailed, percentPassed )
labels <- c( "Failed Test Cases", "Passed Test Cases" )
dataFrame <- data.frame(
rawData <- dfData,
displayedData <- c( paste( round( percentFailed * 100, 2 ), "%\n", sumFailed, " / ", sumExecuted, " Tests", sep="" ), paste( round( percentPassed * 100, 2 ), "%\n", sumPassed, " / ", sumExecuted, " Tests", sep="" ) ),
names <- factor( labels, levels = rev( labels ) ) )
}
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 = "", y=rawData, fill = names ) )
# -------------------
# Main Plot Formatted
# -------------------
print( "Formatting main plot." )
# ------------------------------
# Fundamental Variables Assigned
# ------------------------------
print( "Generating fundamental graph data." )
defaultTextSize()
# Set other graph configurations here.
theme <- graphTheme() +
theme( axis.text.x = element_blank(),
axis.title.x = element_blank(),
axis.title.y = element_blank(),
axis.ticks = element_blank(),
panel.border = element_blank(),
panel.grid=element_blank(),
legend.position = "bottom" )
title <- labs( title = title, subtitle = lastUpdatedLabel() )
# Store plot configurations as 1 variable
fundamentalGraphData <- mainPlot +
theme +
title
# ----------------------------
# Generating Line Graph Format
# ----------------------------
print( "Generating line graph." )
if ( isPlannedPie ){
executedColor <- webColor( "light_blue" )
nonExecutedColor <- webColor( "gray" )
pieColors <- scale_fill_manual( values = c( executedColor, nonExecutedColor ) )
} else {
passColor <- webColor( "green" )
failColor <- webColor( "red" )
pieColors <- scale_fill_manual( values = c( passColor, failColor ) )
}
pieFormat <- geom_bar( width = 1, stat = "identity" )
pieLabels <- geom_text( aes( y = rawData / length( rawData ) + c( 0, cumsum( rawData )[ -length( rawData ) ] ) ),
label = dataFrame$displayedData,
size = 7, fontface = "bold" )
result <- fundamentalGraphData +
pieFormat + coord_polar( "y" ) + pieLabels + pieColors
# -----------------------
# Exporting Graph to File
# -----------------------
saveGraph( outputFile )