Merge "Removing old Rscript directory"
diff --git a/TestON/JenkinsFile/scripts/README.md b/TestON/JenkinsFile/scripts/README.md
deleted file mode 100644
index dab3f68..0000000
--- a/TestON/JenkinsFile/scripts/README.md
+++ /dev/null
@@ -1,23 +0,0 @@
-<h1>Wiki Graph Scripts</h1>
-
-The scripts that generate the graphs are written in the R programming language.
-
-The scripts are structured in the following format:
-1. Data Management
- * Data is obtained from the databases through SQL. CLI arguments, filename, and titles are also handled here.
- 1. Importing libraries
- 2. Command line arguments
- 3. Title of the graph
- 4. Filename
- 5. SQL Initialization and Data Gathering
-2. Organize Data
- * Raw data is sorted into a data frame. The data frame is used in generating the graph.
- 1. Combining data into a single list.
- 2. Using the list to construct a data frame
- 3. Adding data as columns to the data frame
-3. Generate Graphs
- * The graphs are formatted and constructed here.
- 1. Main plot generated
- 2. Fundamental variables assigned
- 3. Generate specific graph format
- 4. Exporting graph to file
diff --git a/TestON/JenkinsFile/scripts/SCPFIntentInstallWithdrawRerouteLat.R b/TestON/JenkinsFile/scripts/SCPFIntentInstallWithdrawRerouteLat.R
deleted file mode 100644
index 6f67b0d..0000000
--- a/TestON/JenkinsFile/scripts/SCPFIntentInstallWithdrawRerouteLat.R
+++ /dev/null
@@ -1,386 +0,0 @@
-# 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.
-# **********************************************************
-print( "**********************************************************" )
-print( "STEP 1: Data management." )
-print( "**********************************************************" )
-has_flow_obj = 1
-database_host = 2
-database_port = 3
-database_u_id = 4
-database_pw = 5
-test_name = 6
-branch_name = 7
-batch_size = 8
-old_flow = 9
-save_directory = 10
-
-# 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 SCPFIntentInstallWithdrawRerouteLat.R",
- "<isFlowObj>" ,
- "<database-host>",
- "<database-port>",
- "<database-user-id>",
- "<database-password>",
- "<test-name>",
- "<branch-name>",
- "<batch-size>",
- "<using-old-flow>",
- "<directory-to-save-graphs>",
- sep=" " ) )
- quit( status = 1 ) # basically exit(), but in R
-}
-
-# -----------------------------------
-# Create File Name and Title of Graph
-# -----------------------------------
-
-print( "Creating filename and title of graph." )
-
-chartTitle <- "Intent Install, Withdraw, & Reroute Latencies"
-flowObjFileModifier <- ""
-errBarOutputFile <- paste( args[ save_directory ],
- "SCPFIntentInstallWithdrawRerouteLat_",
- args[ branch_name ],
- sep="" )
-
-if ( args[ has_flow_obj ] == "y" ){
- errBarOutputFile <- paste( errBarOutputFile, "_fobj", sep="" )
- flowObjFileModifier <- "fobj_"
- chartTitle <- paste( chartTitle, "w/ FlowObj" )
-}
-if ( args[ old_flow ] == "y" ){
- errBarOutputFile <- paste( errBarOutputFile, "_OldFlow", sep="" )
- chartTitle <- paste( chartTitle,
- "With Eventually Consistent Flow Rule Store",
- sep="\n" )
-}
-errBarOutputFile <- paste( errBarOutputFile,
- "_",
- args[ batch_size ],
- "-batchSize_graph.jpg",
- sep="" )
-
-chartTitle <- paste( chartTitle,
- "\nBatch Size =",
- args[ batch_size ],
- 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 ] )
-
-# ---------------------------------------
-# Intent Install and Withdraw SQL Command
-# ---------------------------------------
-print( "Generating Intent Install and Withdraw SQL Command" )
-
-installWithdrawSQLCommand <- paste( "SELECT * FROM intent_latency_",
- flowObjFileModifier,
- "tests WHERE batch_size=",
- args[ batch_size ],
- " AND branch = '",
- args[ branch_name ],
- "' AND date IN ( SELECT MAX( date ) FROM intent_latency_",
- flowObjFileModifier,
- "tests WHERE branch='",
- args[ branch_name ],
- "' AND ",
- ( if( args[ old_flow ] == 'y' ) "" else "NOT " ) ,
- "is_old_flow",
- ")",
- sep="" )
-
-print( "Sending Intent Install and Withdraw SQL command:" )
-print( installWithdrawSQLCommand )
-installWithdrawData <- dbGetQuery( con, installWithdrawSQLCommand )
-
-# --------------------------
-# Intent Reroute SQL Command
-# --------------------------
-
-print( "Generating Intent Reroute SQL Command" )
-
-rerouteSQLCommand <- paste( "SELECT * FROM intent_reroute_latency_",
- flowObjFileModifier,
- "tests WHERE batch_size=",
- args[ batch_size ],
- " AND branch = '",
- args[ branch_name ],
- "' AND date IN ( SELECT MAX( date ) FROM intent_reroute_latency_",
- flowObjFileModifier,
- "tests WHERE branch='",
- args[ branch_name ],
- "' AND ",
- ( if( args[ old_flow ] == 'y' ) "" else "NOT " ) ,
- "is_old_flow",
- ")",
- sep="" )
-
-print( "Sending Intent Reroute SQL command:" )
-print( rerouteSQLCommand )
-rerouteData <- dbGetQuery( con, rerouteSQLCommand )
-
-# **********************************************************
-# STEP 2: Organize Data.
-# **********************************************************
-
-print( "**********************************************************" )
-print( "STEP 2: Organize Data." )
-print( "**********************************************************" )
-
-# -------------------------------------------------------
-# Combining Install, Withdraw, and Reroute Latencies Data
-# -------------------------------------------------------
-
-print( "Combining Install, Withdraw, and Reroute Latencies Data" )
-
-if ( ncol( rerouteData ) == 0 ){ # Checks if rerouteData exists, so we can exclude it if necessary
-
- requiredColumns <- c( "install_avg",
- "withdraw_avg" )
-
- tryCatch( avgs <- c( installWithdrawData[ 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 )
- }
- )
-} else{
- colnames( rerouteData ) <- c( "date",
- "name",
- "date",
- "branch",
- "is_old_flow",
- "commit",
- "scale",
- "batch_size",
- "reroute_avg",
- "reroute_std" )
-
- tryCatch( avgs <- c( installWithdrawData[ 'install_avg' ],
- installWithdrawData[ 'withdraw_avg' ],
- rerouteData[ 'reroute_avg' ] ),
- 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 )
- }
- )
-
-}
-
-# Combine lists into data frames.
-dataFrame <- melt( avgs )
-
-# --------------------
-# Construct Data Frame
-# --------------------
-
-print( "Constructing data frame." )
-
-if ( ncol( rerouteData ) == 0 ){ # Checks if rerouteData exists (due to batch size) for the dataFrame this time
- dataFrame$scale <- c( installWithdrawData$scale,
- installWithdrawData$scale )
-
- dataFrame$stds <- c( installWithdrawData$install_std,
- installWithdrawData$withdraw_std )
-} else{
- dataFrame$scale <- c( installWithdrawData$scale,
- installWithdrawData$scale,
- rerouteData$scale )
-
- dataFrame$stds <- c( installWithdrawData$install_std,
- installWithdrawData$withdraw_std,
- rerouteData$reroute_std )
-}
-
-colnames( dataFrame ) <- c( "ms",
- "type",
- "scale",
- "stds" )
-
-# Format data frame so that the data is in the same order as it appeared in the file.
-dataFrame$type <- as.character( dataFrame$type )
-dataFrame$type <- factor( dataFrame$type, levels=unique( dataFrame$type ) )
-
-dataFrame <- na.omit( dataFrame ) # Omit any data that doesn't exist
-
-print( "Data Frame Results:" )
-print( dataFrame )
-
-# **********************************************************
-# STEP 3: Generate graph.
-# **********************************************************
-
-print( "**********************************************************" )
-print( "STEP 3: Generate Graph." )
-print( "**********************************************************" )
-
-# -------------------
-# Main Plot Generated
-# -------------------
-
-print( "Creating the main plot." )
-
-mainPlot <- ggplot( data = dataFrame, aes( x = scale,
- y = ms,
- ymin = ms,
- ymax = ms + stds,
- fill = type ) )
-
-# ------------------------------
-# Fundamental Variables Assigned
-# ------------------------------
-
-print( "Generating fundamental graph data." )
-
-theme_set( theme_grey( base_size = 22 ) )
-barWidth <- 1.3
-xScaleConfig <- scale_x_continuous( breaks = c( 1, 3, 5, 7, 9) )
-xLabel <- xlab( "Scale" )
-yLabel <- ylab( "Latency (ms)" )
-fillLabel <- labs( fill="Type" )
-imageWidth <- 15
-imageHeight <- 10
-imageDPI <- 200
-errorBarColor <- rgb( 140, 140, 140, maxColorValue=255 )
-
-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="" )
-
-title <- labs( title = chartTitle, subtitle = subtitle )
-
-colors <- scale_fill_manual( values=c( "#F77670",
- "#619DFA",
- "#18BA48" ) )
-
-# Store plot configurations as 1 variable
-fundamentalGraphData <- mainPlot +
- xScaleConfig +
- xLabel +
- yLabel +
- fillLabel +
- theme +
- title +
- colors
-
-# ---------------------------
-# Generating Bar Graph Format
-# ---------------------------
-
-print( "Generating bar graph with error bars." )
-
-barGraphFormat <- geom_bar( stat = "identity",
- width = barWidth,
- position = "dodge" )
-
-errorBarFormat <- geom_errorbar( width = barWidth,
- position = position_dodge( barWidth ),
- color = errorBarColor )
-
-values <- geom_text( aes( x = dataFrame$scale,
- y = dataFrame$ms + 0.035 * max( dataFrame$ms ),
- label = format( dataFrame$ms,
- digits = 3,
- big.mark = ",",
- scientific = FALSE ) ),
- position = position_dodge( width = barWidth ),
- size = 5.5,
- fontface = "bold" )
-
-wrapLegend <- guides( fill = guide_legend( nrow = 1, byrow = TRUE ) )
-
-result <- fundamentalGraphData +
- barGraphFormat +
- errorBarFormat +
- values +
- wrapLegend
-
-# -----------------------
-# Exporting Graph to File
-# -----------------------
-
-print( paste( "Saving bar chart with error bars to", errBarOutputFile ) )
-
-tryCatch( ggsave( errBarOutputFile,
- 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 bar chart with error bars out to", errBarOutputFile ) )
-quit( status = 0 )
diff --git a/TestON/JenkinsFile/scripts/SCPFLineGraph.R b/TestON/JenkinsFile/scripts/SCPFLineGraph.R
deleted file mode 100644
index 8c59c0d..0000000
--- a/TestON/JenkinsFile/scripts/SCPFLineGraph.R
+++ /dev/null
@@ -1,303 +0,0 @@
-# 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
-
-# This is the R script that generates the SCPF front page graphs.
-
-
-# **********************************************************
-# STEP 1: Data management.
-# **********************************************************
-
-database_host = 1
-database_port = 2
-database_u_id = 3
-database_pw = 4
-graph_title = 5
-branch_name = 6
-num_dates = 7
-sql_commands = 8
-y_axis = 9
-old_flow = 10
-save_directory = 11
-
-print( "**********************************************************" )
-print( "STEP 1: Data management." )
-print( "**********************************************************" )
-
-# ----------------
-# Import Libraries
-# ----------------
-
-print( "Importing libraries." )
-library( ggplot2 )
-library( reshape2 )
-library( RPostgreSQL )
-
-# -------------------
-# Check CLI Arguments
-# -------------------
-
-print( "Verifying CLI args." )
-
-# 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 )
-
-# Check if sufficient args are provided.
-if ( is.na( args[ save_directory ] ) ){
-
- print( paste( "Usage: Rscript testresultgraph.R",
- "<database-host>",
- "<database-port>",
- "<database-user-id>",
- "<database-password>",
- "<graph-title>", # part of the output filename as well
- "<branch-name>", # part of the output filename
- "<#-dates>", # part of the output filename
- "<SQL-command>",
- "<y-axis-title>", # y-axis may be different among other SCPF graphs (ie: batch size, latency, etc. )
- "<using-old-flow>",
- "<directory-to-save-graph>",
- sep = " " ) )
- quit( status = 1 ) # basically exit(), but in R
-}
-
-# -------------------------------
-# Create Title and Graph Filename
-# -------------------------------
-
-print( "Creating title of graph" )
-
-# Title of graph based on command line args.
-
-title <- args[ graph_title ]
-title <- paste( title, if( args[ old_flow ] == "y" ) "\nWith Eventually Consistent Flow Rule Store" else "" )
-
-print( "Creating graph filename." )
-
-# Filenames for the output graph include the testname, branch, and the graph type.
-outputFile <- paste( args[ save_directory ],
- "SCPF_Front_Page_",
- gsub( " ", "_", args[ graph_title ] ),
- "_",
- args[ branch_name ],
- "_",
- args[ num_dates ],
- "-dates",
- if( args[ old_flow ] == "y" ) "_OldFlow" else "",
- "_graph.jpg",
- 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 ] )
-
-print( "Sending SQL command:" )
-print( args[ sql_commands ] )
-
-fileData <- dbGetQuery( con, args[ sql_commands ] )
-
-# Check if data has been received
-if ( nrow( fileData ) == 0 ){
- print( "[ERROR]: No data received from the databases. Please double check this by manually running the SQL command." )
- quit( status = 1 )
-}
-
-# **********************************************************
-# STEP 2: Organize data.
-# **********************************************************
-
-print( "**********************************************************" )
-print( "STEP 2: Organize Data." )
-print( "**********************************************************" )
-
-# Create lists c() and organize data into their corresponding list.
-print( "Combine data retrieved from databases into a list." )
-
-buildNums <- fileData$build
-fileData$build <- c()
-print( fileData )
-
-if ( ncol( fileData ) > 1 ){
- for ( i in 2:ncol( fileData ) ){
- fileData[ i ] <- fileData[ i - 1 ] + fileData[ i ]
- }
-}
-
-
-# --------------------
-# Construct Data Frame
-# --------------------
-
-print( "Constructing data frame from combined data." )
-
-dataFrame <- melt( fileData )
-dataFrame$date <- fileData$date
-
-colnames( dataFrame ) <- c( "Legend",
- "Values" )
-
-# Format data frame so that the data is in the same order as it appeared in the file.
-dataFrame$Legend <- as.character( dataFrame$Legend )
-dataFrame$Legend <- factor( dataFrame$Legend, levels=unique( dataFrame$Legend ) )
-dataFrame$build <- buildNums
-
-# Adding a temporary iterative list to the dataFrame so that there are no gaps in-between date numbers.
-dataFrame$iterative <- rev( seq( 1, nrow( fileData ), by = 1 ) )
-
-dataFrame <- na.omit( dataFrame ) # Omit any data that doesn't exist
-
-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 date # later)
-# - y: y-axis values (usually tests)
-# - color: the category of the colored lines (usually legend of test)
-
-mainPlot <- ggplot( data = dataFrame, aes( x = iterative,
- y = Values,
- color = Legend ) )
-
-# -------------------
-# Main Plot Formatted
-# -------------------
-
-print( "Formatting main plot." )
-
-limitExpansion <- expand_limits( y = 0 )
-
-tickLength <- 3
-breaks <- seq( max( dataFrame$iterative ) %% tickLength, max( dataFrame$iterative ), by = tickLength )
-breaks <- breaks[ which( breaks != 0 ) ]
-
-maxYDisplay <- max( dataFrame$Values ) * 1.05
-yBreaks <- ceiling( max( dataFrame$Values ) / 10 )
-yScaleConfig <- scale_y_continuous( breaks = seq( 0, maxYDisplay, by = yBreaks ) )
-xScaleConfig <- scale_x_continuous( breaks = breaks, label = rev( dataFrame$build )[ breaks ] )
-
-# ------------------------------
-# Fundamental Variables Assigned
-# ------------------------------
-
-print( "Generating fundamental graph data." )
-
-theme_set( theme_grey( base_size = 22 ) ) # set the default text size of the graph.
-xLabel <- xlab( "Build" )
-yLabel <- ylab( args[ y_axis ] )
-
-imageWidth <- 15
-imageHeight <- 10
-imageDPI <- 200
-
-# Set other graph configurations here.
-theme <- theme( axis.text.x = element_text( angle = 0, size = 13 ),
- plot.title = element_text( size = 32, face='bold', hjust = 0.5 ),
- legend.position = "bottom",
- legend.text = element_text( size=22 ),
- legend.title = element_blank(),
- legend.key.size = unit( 1.5, 'lines' ),
- legend.direction = 'horizontal',
- 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="" )
-
-title <- labs( title = title, subtitle = subtitle )
-
-# Colors used for the lines.
-# Note: graphs that have X lines will use the first X colors in this list.
-colors <- scale_color_manual( values=c( "#111111", # black
- "#008CFF", # blue
- "#FF3700", # red
- "#00E043", # green
- "#EEB600", # yellow
- "#E500FF") ) # purple (not used)
-
-wrapLegend <- guides( color = guide_legend( nrow = 2, byrow = TRUE ) )
-
-fundamentalGraphData <- mainPlot +
- limitExpansion +
- xScaleConfig +
- yScaleConfig +
- xLabel +
- yLabel +
- theme +
- colors +
- wrapLegend +
- title
-
-# ----------------------------
-# Generating Line Graph Format
-# ----------------------------
-
-print( "Generating line graph." )
-
-lineGraphFormat <- geom_line( size = 0.75 )
-pointFormat <- geom_point( size = 1.75 )
-
-result <- fundamentalGraphData +
- lineGraphFormat +
- pointFormat
-
-# -----------------------
-# Exporting Graph to File
-# -----------------------
-
-print( paste( "Saving result graph to", outputFile ) )
-
-tryCatch( ggsave( outputFile,
- 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 result graph out to", outputFile ) )
-quit( status = 0 )
diff --git a/TestON/JenkinsFile/scripts/SCPFbatchFlowResp.R b/TestON/JenkinsFile/scripts/SCPFbatchFlowResp.R
deleted file mode 100644
index dd0868e..0000000
--- a/TestON/JenkinsFile/scripts/SCPFbatchFlowResp.R
+++ /dev/null
@@ -1,418 +0,0 @@
-# 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 )
diff --git a/TestON/JenkinsFile/scripts/SCPFcbench.R b/TestON/JenkinsFile/scripts/SCPFcbench.R
deleted file mode 100644
index 9d1972a..0000000
--- a/TestON/JenkinsFile/scripts/SCPFcbench.R
+++ /dev/null
@@ -1,267 +0,0 @@
-# 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.
-# **********************************************************
-
-print( "**********************************************************" )
-print( "STEP 1: Data management." )
-print( "**********************************************************" )
-database_host = 1
-database_port = 2
-database_u_id = 3
-database_pw = 4
-test_name = 5
-branch_name = 6
-save_directory = 7
-# 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 SCPFcbench",
- "<database-host>",
- "<database-port>",
- "<database-user-id>",
- "<database-password>",
- "<test-name>",
- "<branch-name>",
- "<directory-to-save-graphs>",
- sep=" " ) )
-
- quit( status = 1 ) # basically exit(), but in R
-}
-
-# -----------------
-# Create File Names
-# -----------------
-
-print( "Creating filenames and title of graph." )
-
-errBarOutputFile <- paste( args[ save_directory ],
- args[ test_name ],
- "_",
- args[ branch_name ],
- "_errGraph.jpg",
- sep="" )
-
-chartTitle <- paste( "Single-Node CBench Throughput", "Last 3 Builds", sep = "\n" )
-
-# ------------------
-# 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 ] )
-
-# ------------------
-# Cbench SQL Command
-# ------------------
-
-print( "Generating Scale Topology SQL Command" )
-
-command <- paste( "SELECT * FROM cbench_bm_tests WHERE branch='",
- args[ branch_name ],
- "' 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( "**********************************************************" )
-
-# ------------
-# Data Sorting
-# ------------
-
-print( "Sorting data." )
-
-requiredColumns <- c( "avg" )
-
-tryCatch( avgs <- 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" )
-
-dataFrame <- melt( avgs )
-dataFrame$std <- c( fileData$std )
-dataFrame$date <- c( fileData$date )
-dataFrame$iterative <- rev( seq( 1, nrow( fileData ), by = 1 ) )
-
-colnames( dataFrame ) <- c( "ms",
- "type",
- "std",
- "date",
- "iterative" )
-
-dataFrame <- na.omit( dataFrame ) # Omit any data that doesn't exist
-
-print( "Data Frame Results:" )
-print( dataFrame )
-
-# **********************************************************
-# STEP 3: Generate graphs.
-# **********************************************************
-
-print( "**********************************************************" )
-print( "STEP 3: Generate Graph." )
-print( "**********************************************************" )
-
-# ------------------
-# Generate Main Plot
-# ------------------
-
-print( "Creating main plot." )
-
-mainPlot <- ggplot( data = dataFrame, aes( x = iterative,
- y = ms,
- ymin = ms,
- ymax = ms + std ) )
-
-# ------------------------------
-# Fundamental Variables Assigned
-# ------------------------------
-
-print( "Generating fundamental graph data." )
-
-theme_set( theme_grey( base_size = 22 ) ) # set the default text size of the graph.
-barWidth <- 0.3
-xScaleConfig <- scale_x_continuous( breaks = dataFrame$iterative,
- label = dataFrame$date )
-xLabel <- xlab( "Build Date" )
-yLabel <- ylab( "Responses / sec" )
-fillLabel <- labs( fill = "Type" )
-imageWidth <- 15
-imageHeight <- 10
-imageDPI <- 200
-errorBarColor <- rgb( 140,140,140, maxColorValue=255 )
-
-theme <- theme( plot.title = element_text( hjust = 0.5, size = 32, face = 'bold' ),
- legend.position = "bottom",
- legend.text = element_text( size = 18, face = "bold" ),
- legend.title = element_blank(),
- 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="" )
-
-title <- labs( title = chartTitle, subtitle = subtitle )
-
-fundamentalGraphData <- mainPlot +
- xScaleConfig +
- xLabel +
- yLabel +
- fillLabel +
- theme +
- title
-
-# ---------------------------
-# Generating Bar Graph Format
-# ---------------------------
-
-print( "Generating bar graph with error bars." )
-
-barGraphFormat <- geom_bar( stat = "identity",
- position = position_dodge(),
- width = barWidth,
- fill = "#00AA13" )
-
-errorBarFormat <- geom_errorbar( width = barWidth,
- color = errorBarColor )
-
-values <- geom_text( aes( x=dataFrame$iterative,
- y=fileData[ 'avg' ] + 0.025 * max( fileData[ 'avg' ] ),
- label = format( fileData[ 'avg' ],
- digits=3,
- big.mark = ",",
- scientific = FALSE ) ),
- size = 7.0,
- fontface = "bold" )
-
-result <- fundamentalGraphData +
- barGraphFormat +
- errorBarFormat +
- values
-
-# -----------------------
-# Exporting Graph to File
-# -----------------------
-
-print( paste( "Saving bar chart with error bars to", errBarOutputFile ) )
-
-tryCatch( ggsave( errBarOutputFile,
- 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 bar chart with error bars out to", errBarOutputFile ) )
diff --git a/TestON/JenkinsFile/scripts/SCPFflowTp1g.R b/TestON/JenkinsFile/scripts/SCPFflowTp1g.R
deleted file mode 100644
index ffb91a9..0000000
--- a/TestON/JenkinsFile/scripts/SCPFflowTp1g.R
+++ /dev/null
@@ -1,327 +0,0 @@
-# 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.
-# **********************************************************
-has_flow_obj = 1
-database_host = 2
-database_port = 3
-database_u_id = 4
-database_pw = 5
-test_name = 6
-branch_name = 7
-has_neighbors = 8
-old_flow = 9
-save_directory = 10
-
-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 SCPFflowTp1g.R",
- "<has-flow-obj>",
- "<database-host>",
- "<database-port>",
- "<database-user-id>",
- "<database-password>",
- "<test-name>",
- "<branch-name>",
- "<has-neighbors>",
- "<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." )
-
-chartTitle <- "Flow Throughput Test"
-fileNeighborsModifier <- "no"
-commandNeighborModifier <- ""
-fileFlowObjModifier <- ""
-sqlFlowObjModifier <- ""
-if ( args[ has_flow_obj ] == 'y' ){
- fileFlowObjModifier <- "_flowObj"
- sqlFlowObjModifier <- "_fobj"
- chartTitle <- paste( chartTitle, " with Flow Objectives", sep="" )
-}
-
-chartTitle <- paste( chartTitle, "\nNeighbors =", sep="" )
-
-fileOldFlowModifier <- ""
-if ( args[ has_neighbors ] == 'y' ){
- fileNeighborsModifier <- "all"
- commandNeighborModifier <- "scale=1 OR NOT "
- chartTitle <- paste( chartTitle, "Cluster Size - 1" )
-} else {
- chartTitle <- paste( chartTitle, "0" )
-}
-if ( args[ old_flow ] == 'y' ){
- fileOldFlowModifier <- "_OldFlow"
- chartTitle <- paste( chartTitle, "With Eventually Consistent Flow Rule Store", sep="\n" )
-}
-errBarOutputFile <- paste( args[ save_directory ],
- args[ test_name ],
- "_",
- args[ branch_name ],
- "_",
- fileNeighborsModifier,
- "-neighbors",
- fileFlowObjModifier,
- fileOldFlowModifier,
- "_graph.jpg",
- 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 ] )
-
-# ---------------------------
-# Flow Throughput SQL Command
-# ---------------------------
-
-print( "Generating Flow Throughput SQL command." )
-
-command <- paste( "SELECT scale, avg( avg ), avg( std ) FROM flow_tp",
- sqlFlowObjModifier,
- "_tests WHERE (",
- commandNeighborModifier,
- "neighbors = 0 ) AND branch = '",
- args[ branch_name ],
- "' AND date IN ( SELECT max( date ) FROM flow_tp",
- sqlFlowObjModifier,
- "_tests WHERE branch='",
- args[ branch_name ],
- "' AND ",
- ( if( args[ old_flow ] == 'y' ) "" else "NOT " ),
- "is_old_flow",
- " ) GROUP BY scale ORDER BY scale",
- sep="" )
-
-print( "Sending SQL command:" )
-print( command )
-
-fileData <- dbGetQuery( con, command )
-
-# **********************************************************
-# STEP 2: Organize data.
-# **********************************************************
-
-print( "**********************************************************" )
-print( "STEP 2: Organize Data." )
-print( "**********************************************************" )
-
-# ------------
-# Data Sorting
-# ------------
-
-print( "Sorting data for Flow Throughput." )
-
-colnames( fileData ) <- c( "scale",
- "avg",
- "std" )
-
-requiredColumns <- c( "avg" )
-
-tryCatch( avgs <- 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 )
- }
- )
-
-
-# ----------------------------
-# Flow TP Construct Data Frame
-# ----------------------------
-
-print( "Constructing Flow TP data frame." )
-
-dataFrame <- melt( avgs ) # This is where reshape2 comes in. Avgs list is converted to data frame
-dataFrame$scale <- fileData$scale # Add node scaling to the data frame.
-dataFrame$std <- fileData$std
-
-colnames( dataFrame ) <- c( "throughput",
- "type",
- "scale",
- "std" )
-
-dataFrame <- na.omit( dataFrame ) # Omit any data that doesn't exist
-
-print( "Data Frame Results:" )
-print( dataFrame )
-
-# **********************************************************
-# STEP 3: Generate graphs.
-# **********************************************************
-
-print( "**********************************************************" )
-print( "STEP 3: Generate Graph." )
-print( "**********************************************************" )
-
-# ------------------
-# Generate Main Plot
-# ------------------
-
-print( "Generating main plot." )
-# Create the primary plot here.
-# ggplot contains the following arguments:
-# - data: the data frame that the graph will be based off of
-# - aes: the asthetics of the graph which require:
-# - x: x-axis values (usually node scaling)
-# - y: y-axis values (usually time in milliseconds)
-# - fill: the category of the colored side-by-side bars (usually type)
-
-mainPlot <- ggplot( data = dataFrame, aes( x = scale,
- y = throughput,
- ymin = throughput,
- ymax = throughput + std,
- fill = type ) )
-# ------------------------------
-# Fundamental Variables Assigned
-# ------------------------------
-
-print( "Generating fundamental graph data." )
-
-# Formatting the plot
-theme_set( theme_grey( base_size = 22 ) ) # set the default text size of the graph.
-width <- 0.7 # Width of the bars.
-xScaleConfig <- scale_x_continuous( breaks = dataFrame$scale,
- label = dataFrame$scale )
-xLabel <- xlab( "Scale" )
-yLabel <- ylab( "Throughput (,000 Flows/sec)" )
-fillLabel <- labs( fill="Type" )
-imageWidth <- 15
-imageHeight <- 10
-imageDPI <- 200
-errorBarColor <- rgb( 140, 140, 140, maxColorValue=255 )
-
-theme <- theme( plot.title = element_text( hjust = 0.5,
- size = 32,
- face = 'bold' ),
- plot.subtitle = element_text( size=16, hjust=1.0 ) )
-
-subtitle <- paste( "Last Updated: ", format( Sys.time(), format = "%b %d, %Y at %I:%M %p %Z" ), sep="" )
-
-title <- labs( title = chartTitle, subtitle = subtitle )
-
-# Store plot configurations as 1 variable
-fundamentalGraphData <- mainPlot +
- xScaleConfig +
- xLabel +
- yLabel +
- fillLabel +
- theme +
- title
-
-# ---------------------------
-# Generating Bar Graph Format
-# ---------------------------
-
-# Create the stacked bar graph with error bars.
-# geom_bar contains:
-# - stat: data formatting (usually "identity")
-# - width: the width of the bar types (declared above)
-# geom_errorbar contains similar arguments as geom_bar.
-print( "Generating bar graph with error bars." )
-barGraphFormat <- geom_bar( stat = "identity",
- width = width,
- fill = "#FFAA3C" )
-
-errorBarFormat <- geom_errorbar( width = width,
- position = position_dodge(),
- color = errorBarColor )
-
-values <- geom_text( aes( x = dataFrame$scale,
- y = dataFrame$throughput + 0.03 * max( dataFrame$throughput ),
- label = format( dataFrame$throughput,
- digits=3,
- big.mark = ",",
- scientific = FALSE ) ),
- size = 7.0,
- fontface = "bold" )
-
-result <- fundamentalGraphData +
- barGraphFormat +
- errorBarFormat +
- values
-
-# -----------------------
-# Exporting Graph to File
-# -----------------------
-
-print( paste( "Saving bar chart with error bars to", errBarOutputFile ) )
-
-tryCatch( ggsave( errBarOutputFile,
- 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 bar chart with error bars out to", errBarOutputFile ) )
-quit( status = 0 )
diff --git a/TestON/JenkinsFile/scripts/SCPFhostLat.R b/TestON/JenkinsFile/scripts/SCPFhostLat.R
deleted file mode 100644
index b291551..0000000
--- a/TestON/JenkinsFile/scripts/SCPFhostLat.R
+++ /dev/null
@@ -1,263 +0,0 @@
-# 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.
-# **********************************************************\
-print( "**********************************************************" )
-print( "STEP 1: Data management." )
-print( "**********************************************************" )
-database_host = 1
-database_port = 2
-database_u_id = 3
-database_pw = 4
-test_name = 5
-branch_name = 6
-save_directory = 7
-
-# 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 SCPFhostLat",
- "<database-host>",
- "<database-port>",
- "<database-user-id>",
- "<database-password>",
- "<test-name>",
- "<branch-name>",
- "<directory-to-save-graphs>",
- sep=" " ) )
-
- quit( status = 1 ) # basically exit(), but in R
-}
-
-# -----------------
-# Create File Names
-# -----------------
-
-print( "Creating filenames and title of graph." )
-
-errBarOutputFile <- paste( args[ save_directory ],
- args[ test_name ],
- "_",
- args[ branch_name ],
- "_errGraph.jpg",
- sep="" )
-
-chartTitle <- "Host Latency"
-# ------------------
-# 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 ] )
-
-# ------------------------
-# Host Latency SQL Command
-# ------------------------
-
-print( "Generating Host Latency SQL Command" )
-
-command <- paste( "SELECT * FROM host_latency_tests WHERE branch = '",
- args[ branch_name ],
- "' AND date IN ( SELECT MAX( date ) FROM host_latency_tests WHERE branch = '",
- args[ branch_name ],
- "' ) ",
- sep = "" )
-
-print( "Sending SQL command:" )
-print( command )
-
-fileData <- dbGetQuery( con, command )
-
-
-# **********************************************************
-# STEP 2: Organize data.
-# **********************************************************
-
-print( "**********************************************************" )
-print( "STEP 2: Organize Data." )
-print( "**********************************************************" )
-
-# ------------
-# Data Sorting
-# ------------
-
-print( "Sorting data." )
-
-requiredColumns <- c( "avg" )
-
-tryCatch( avgs <- 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" )
-
-dataFrame <- melt( avgs )
-dataFrame$scale <- fileData$scale
-dataFrame$std <- fileData$std
-
-colnames( dataFrame ) <- c( "ms",
- "type",
- "scale",
- "std" )
-
-dataFrame <- na.omit( dataFrame ) # Omit any data that doesn't exist
-
-print( "Data Frame Results:" )
-print( dataFrame )
-
-# **********************************************************
-# STEP 3: Generate graphs.
-# **********************************************************
-
-print( "**********************************************************" )
-print( "STEP 3: Generate Graph." )
-print( "**********************************************************" )
-
-# ------------------
-# Generate Main Plot
-# ------------------
-
-print( "Creating main plot." )
-
-mainPlot <- ggplot( data = dataFrame, aes( x = scale,
- y = ms,
- ymin = ms,
- ymax = ms + std ) )
-
-# ------------------------------
-# Fundamental Variables Assigned
-# ------------------------------
-
-print( "Generating fundamental graph data." )
-
-theme_set( theme_grey( base_size = 22 ) ) # set the default text size of the graph.
-xScaleConfig <- scale_x_continuous( breaks=c( 1, 3, 5, 7, 9 ) )
-xLabel <- xlab( "Scale" )
-yLabel <- ylab( "Latency (ms)" )
-fillLabel <- labs( fill="Type" )
-theme <- theme( plot.title = element_text( hjust = 0.5, size = 32, face ='bold' ),
- 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="" )
-
-title <- labs( title = chartTitle, subtitle = subtitle )
-errorBarColor <- rgb( 140, 140, 140, maxColorValue = 255 )
-imageWidth <- 15
-imageHeight <- 10
-imageDPI <- 200
-
-fundamentalGraphData <- mainPlot +
- xScaleConfig +
- xLabel +
- yLabel +
- fillLabel +
- theme +
- title
-
-# ---------------------------
-# Generating Bar Graph Format
-# ---------------------------
-
-print( "Generating bar graph with error bars." )
-
-barWidth <- 0.9
-barGraphFormat <- geom_bar( stat = "identity",
- position = position_dodge(),
- width = barWidth,
- fill = "#A700EF" )
-
-errorBarFormat <- geom_errorbar( position = position_dodge(),
- width = barWidth,
- color = errorBarColor )
-
-values <- geom_text( aes( x=dataFrame$scale,
- y=dataFrame$ms + 0.06 * max( dataFrame$ms ),
- label = format( dataFrame$ms,
- digits=3,
- big.mark = ",",
- scientific = FALSE ) ),
- size = 7.0,
- fontface = "bold" )
-
-result <- fundamentalGraphData +
- barGraphFormat +
- errorBarFormat +
- values
-
-# -----------------------
-# Exporting Graph to File
-# -----------------------
-
-print( paste( "Saving bar chart with error bars to", errBarOutputFile ) )
-
-tryCatch( ggsave( errBarOutputFile,
- 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 bar chart out to", errBarOutputFile ) )
-quit( status = 0 )
diff --git a/TestON/JenkinsFile/scripts/SCPFintentEventTp.R b/TestON/JenkinsFile/scripts/SCPFintentEventTp.R
deleted file mode 100644
index e9a9dc4..0000000
--- a/TestON/JenkinsFile/scripts/SCPFintentEventTp.R
+++ /dev/null
@@ -1,310 +0,0 @@
-# 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.
-# **********************************************************
-
-print( "**********************************************************" )
-print( "STEP 1: Data management." )
-print( "**********************************************************" )
-has_flow_obj = 1
-database_host = 2
-database_port = 3
-database_u_id = 4
-database_pw = 5
-test_name = 6
-branch_name = 7
-has_neighbors = 8
-old_flow = 9
-save_directory = 10
-
-# 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 SCPFIntentEventTp.R",
- "<has-flow-obj>",
- "<database-host>",
- "<database-port>",
- "<database-user-id>",
- "<database-password>",
- "<test-name>",
- "<branch-name>",
- "<has-neighbors>",
- "<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." )
-
-chartTitle <- "Intent Event Throughput"
-fileNeighborsModifier <- "no"
-commandNeighborModifier <- ""
-fileFlowObjModifier <- ""
-sqlFlowObjModifier <- ""
-
-if ( args[ has_flow_obj ] == 'y' ){
- fileFlowObjModifier <- "_flowObj"
- sqlFlowObjModifier <- "_fobj"
- chartTitle <- paste( chartTitle, " with Flow Objectives", sep="" )
-}
-
-chartTitle <- paste( chartTitle, "\nevents/second with Neighbors =", sep="" )
-
-fileOldFlowModifier <- ""
-if ( args[ has_neighbors ] == 'y' ){
- fileNeighborsModifier <- "all"
- commandNeighborModifier <- "scale=1 OR NOT "
- chartTitle <- paste( chartTitle, "all" )
-} else {
- chartTitle <- paste( chartTitle, "0" )
-}
-if ( args[ old_flow ] == 'y' ){
- fileOldFlowModifier <- "_OldFlow"
- chartTitle <- paste( chartTitle, "With Eventually Consistent Flow Rule Store", sep="\n" )
-}
-
-errBarOutputFile <- paste( args[ save_directory ],
- args[ test_name ],
- "_",
- args[ branch_name ],
- "_",
- fileNeighborsModifier,
- "-neighbors",
- fileFlowObjModifier,
- fileOldFlowModifier,
- "_graph.jpg",
- 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 ] )
-
-# -----------------------------------
-# Intent Event Throughput SQL Command
-# -----------------------------------
-
-print( "Generating Intent Event Throughput SQL command." )
-
-command <- paste( "SELECT scale, SUM( avg ) as avg FROM intent_tp",
- sqlFlowObjModifier,
- "_tests WHERE (",
- commandNeighborModifier,
- "neighbors = 0 ) AND branch = '",
- args[ branch_name ],
- "' AND date IN ( SELECT max( date ) FROM intent_tp",
- sqlFlowObjModifier,
- "_tests WHERE branch='",
- args[ branch_name ],
- "' AND ",
- ( if( args[ old_flow ] == 'y' ) "" else "NOT " ),
- "is_old_flow",
- " ) GROUP BY scale ORDER BY scale",
- sep="" )
-
-print( "Sending SQL command:" )
-print( command )
-
-fileData <- dbGetQuery( con, command )
-
-# **********************************************************
-# STEP 2: Organize data.
-# **********************************************************
-
-print( "**********************************************************" )
-print( "STEP 2: Organize Data." )
-print( "**********************************************************" )
-
-# ------------
-# Data Sorting
-# ------------
-
-print( "Sorting data." )
-
-requiredColumns <- c( "avg" )
-
-tryCatch( avgs <- 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." )
-dataFrame <- melt( avgs ) # This is where reshape2 comes in. Avgs list is converted to data frame
-dataFrame$scale <- fileData$scale # Add node scaling to the data frame.
-
-colnames( dataFrame ) <- c( "throughput",
- "type",
- "scale" )
-
-dataFrame <- na.omit( dataFrame ) # Omit any data that doesn't exist
-
-print( "Data Frame Results:" )
-print( dataFrame )
-
-
-# **********************************************************
-# STEP 3: Generate graphs.
-# **********************************************************
-
-print( "**********************************************************" )
-print( "STEP 3: Generate Graph." )
-print( "**********************************************************" )
-
-# ------------------
-# Generate Main Plot
-# ------------------
-
-print( "Generating main plot." )
-# Create the primary plot here.
-# ggplot contains the following arguments:
-# - data: the data frame that the graph will be based off of
-# - aes: the asthetics of the graph which require:
-# - x: x-axis values (usually node scaling)
-# - y: y-axis values (usually time in milliseconds)
-# - fill: the category of the colored side-by-side bars (usually type)
-
-mainPlot <- ggplot( data = dataFrame, aes( x = scale,
- y = throughput,
- fill = type ) )
-# ------------------------------
-# Fundamental Variables Assigned
-# ------------------------------
-
-print( "Generating fundamental graph data." )
-
-# Formatting the plot
-theme_set( theme_grey( base_size = 22 ) ) # set the default text size of the graph.
-width <- 0.7 # Width of the bars.
-xScaleConfig <- scale_x_continuous( breaks = dataFrame$scale, label = dataFrame$scale )
-xLabel <- xlab( "Scale" )
-yLabel <- ylab( "Throughput (events/second)" )
-fillLabel <- labs( fill="Type" )
-imageWidth <- 15
-imageHeight <- 10
-imageDPI <- 200
-
-theme <- theme( plot.title = element_text( hjust = 0.5, size = 32, face = 'bold' ),
- legend.position = "bottom",
- legend.text = element_text( size = 18, face = "bold" ),
- legend.title = element_blank(),
- plot.subtitle = element_text( size=16, hjust=1.0 ) )
-
-subtitle <- paste( "Last Updated: ", format( Sys.time(), format = "%b %d, %Y at %I:%M %p %Z" ), sep="" )
-
-values <- geom_text( aes( x = dataFrame$scale,
- y = dataFrame$throughput + 0.03 * max( dataFrame$throughput ),
- label = format( dataFrame$throughput,
- digits=3,
- big.mark = ",",
- scientific = FALSE ) ),
- size = 7,
- fontface = "bold" )
-
-# Store plot configurations as 1 variable
-fundamentalGraphData <- mainPlot +
- xScaleConfig +
- xLabel +
- yLabel +
- fillLabel +
- theme +
- values
-
-# ---------------------------
-# Generating Bar Graph Format
-# ---------------------------
-
-print( "Generating bar graph." )
-barGraphFormat <- geom_bar( stat = "identity",
- width = width,
- fill = "#169EFF" )
-
-title <- labs( title = chartTitle, subtitle = subtitle )
-
-result <- fundamentalGraphData +
- barGraphFormat +
- title
-
-# -----------------------
-# Exporting Graph to File
-# -----------------------
-
-print( paste( "Saving bar chart to", errBarOutputFile ) )
-
-tryCatch( ggsave( errBarOutputFile,
- 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 bar chart out to", errBarOutputFile ) )
-quit( status = 0 )
diff --git a/TestON/JenkinsFile/scripts/SCPFmastershipFailoverLat.R b/TestON/JenkinsFile/scripts/SCPFmastershipFailoverLat.R
deleted file mode 100644
index 9a61592..0000000
--- a/TestON/JenkinsFile/scripts/SCPFmastershipFailoverLat.R
+++ /dev/null
@@ -1,353 +0,0 @@
-# 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.
-# **********************************************************
-
-print( "**********************************************************" )
-print( "STEP 1: Data management." )
-print( "**********************************************************" )
-database_host = 1
-database_port = 2
-database_u_id = 3
-database_pw = 4
-test_name = 5
-branch_name = 6
-save_directory = 7
-
-# 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 SCPFmastershipFailoverLat",
- "<database-host>",
- "<database-port>",
- "<database-user-id>",
- "<database-password>",
- "<test-name>",
- "<branch-name>",
- "<directory-to-save-graphs>",
- sep=" " ) )
-
- quit( status = 1 ) # basically exit(), but in R
-}
-
-# -----------------
-# Create File Names
-# -----------------
-
-print( "Creating filenames and title of graph." )
-
-chartTitle <- "Mastership Failover Latency"
-
-errBarOutputFile <- paste( args[ save_directory ],
- args[ test_name ],
- "_",
- args[ branch_name ],
- "_errGraph.jpg",
- sep="" )
-
-stackedBarOutputFile <- paste( args[ save_directory ],
- args[ test_name ],
- "_",
- args[ branch_name ],
- "_stackedGraph.jpg",
- 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 ] )
-
-# ---------------------------------------
-# Mastership Failover Latency SQL Command
-# ---------------------------------------
-
-print( "Generating Mastership Failover Latency SQL command" )
-
-command <- paste( "SELECT * FROM mastership_failover_tests WHERE branch = '",
- args[ branch_name ],
- "' AND date IN ( SELECT MAX( date ) FROM mastership_failover_tests WHERE branch = '",
- args[ branch_name ],
- "' ) ",
- sep = "" )
-
-print( "Sending SQL command:" )
-print( command )
-
-fileData <- dbGetQuery( con, command )
-
-# **********************************************************
-# STEP 2: Organize data.
-# **********************************************************
-
-print( "**********************************************************" )
-print( "STEP 2: Organize Data." )
-print( "**********************************************************" )
-
-# ------------
-# Data Sorting
-# ------------
-
-print( "Combining averages into a list." )
-
-requiredColumns <- c( "kill_deact_avg", "deact_role_avg" )
-
-tryCatch( avgs <- 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 list." )
-
-dataFrame <- melt( avgs )
-dataFrame$scale <- fileData$scale
-dataFrame$stds <- c( fileData$kill_deact_std,
- fileData$deact_role_std )
-
-colnames( dataFrame ) <- c( "ms",
- "type",
- "scale",
- "stds" )
-
-dataFrame <- na.omit( dataFrame ) # Omit any data that doesn't exist
-
-sum <- fileData[ 'deact_role_avg' ] +
- fileData[ 'kill_deact_avg' ]
-
-print( "Data Frame Results:" )
-print( dataFrame )
-
-
-# **********************************************************
-# STEP 3: Generate graphs.
-# **********************************************************
-
-print( "**********************************************************" )
-print( "STEP 3: Generate Graph." )
-print( "**********************************************************" )
-
-# ------------------------------------
-# Initialize Variables for Both Graphs
-# ------------------------------------
-
-print( "Initializing variables used in both graphs." )
-
-theme_set( theme_grey( base_size = 22 ) ) # set the default text size of the graph.
-xScaleConfig <- scale_x_continuous( breaks = c( 1, 3, 5, 7, 9) )
-xLabel <- xlab( "Scale" )
-yLabel <- ylab( "Latency (ms)" )
-fillLabel <- labs( fill = "Type" )
-barWidth <- 0.9
-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="" )
-
-barColors <- scale_fill_manual( values=c( "#F77670",
- "#619DFA" ) )
-
-wrapLegend <- guides( fill=guide_legend( nrow=1, byrow=TRUE ) )
-
-# ----------------------------------
-# Error Bar Graph Generate Main Plot
-# ----------------------------------
-
-print( "Creating main plot." )
-
-mainPlot <- ggplot( data = dataFrame, aes( x = scale,
- y = ms,
- ymin = ms,
- ymax = ms + stds,
- fill = type ) )
-
-# ----------------------------------------------
-# Error Bar Graph Fundamental Variables Assigned
-# ----------------------------------------------
-
-print( "Generating fundamental graph data for the error bar graph." )
-
-errorBarColor <- rgb( 140, 140, 140, maxColorValue=255 )
-
-title <- labs( title = chartTitle, subtitle = subtitle )
-
-fundamentalGraphData <- mainPlot +
- xScaleConfig +
- xLabel +
- yLabel +
- fillLabel +
- theme +
- title +
- wrapLegend
-
-# -------------------------------------------
-# Error Bar Graph Generating Bar Graph Format
-# -------------------------------------------
-
-print( "Generating bar graph with error bars." )
-
-barGraphFormat <- geom_bar( stat = "identity",
- position = position_dodge(),
- width = barWidth )
-
-errorBarFormat <- geom_errorbar( width = barWidth,
- position = position_dodge(),
- color = errorBarColor )
-
-values <- geom_text( aes( x = dataFrame$scale,
- y = dataFrame$ms + 0.02 * max( dataFrame$ms ),
- label = format( dataFrame$ms,
- digits = 3,
- big.mark = ",",
- scientific = FALSE ) ),
- size = 7.0,
- fontface = "bold",
- position = position_dodge( 0.9 ) )
-
-result <- fundamentalGraphData +
- barGraphFormat +
- barColors +
- errorBarFormat +
- values
-
-# ---------------------------------------
-# Error Bar Graph Exporting Graph to File
-# ---------------------------------------
-
-print( paste( "Saving bar chart with error bars to", errBarOutputFile ) )
-
-tryCatch( ggsave( errBarOutputFile,
- 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 bar chart with error bars out to", errBarOutputFile ) )
-
-# ------------------------------------------------
-# Stacked Bar Graph Fundamental Variables Assigned
-# ------------------------------------------------
-
-print( "Generating fundamental graph data for the stacked bar graph." )
-
-title <- labs( title = chartTitle, subtitle = subtitle )
-
-fundamentalGraphData <- mainPlot +
- xScaleConfig +
- xLabel +
- yLabel +
- fillLabel +
- theme +
- title +
- wrapLegend
-
-# ---------------------------------------------
-# Stacked Bar Graph Generating Bar Graph Format
-# ---------------------------------------------
-
-print( "Generating stacked bar chart." )
-stackedBarFormat <- geom_bar( stat = "identity",
- width = barWidth )
-
-values <- geom_text( aes( x = dataFrame$scale,
- y = sum + 0.02 * max( sum ),
- label = format( sum,
- digits = 3,
- big.mark = ",",
- scientific = FALSE ) ),
- size = 7.0,
- fontface = "bold" )
-
-result <- fundamentalGraphData +
- stackedBarFormat +
- barColors +
- title +
- values
-
-# -----------------------------------------
-# Stacked Bar Graph Exporting Graph to File
-# -----------------------------------------
-
-print( paste( "Saving stacked bar chart to", stackedBarOutputFile ) )
-
-tryCatch( ggsave( stackedBarOutputFile,
- 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", stackedBarOutputFile ) )
-quit( status = 0 )
diff --git a/TestON/JenkinsFile/scripts/SCPFportLat.R b/TestON/JenkinsFile/scripts/SCPFportLat.R
deleted file mode 100644
index 3398b0b..0000000
--- a/TestON/JenkinsFile/scripts/SCPFportLat.R
+++ /dev/null
@@ -1,409 +0,0 @@
-# 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.
-# **********************************************************
-print( "**********************************************************" )
-print( "STEP 1: Data management." )
-print( "**********************************************************" )
-database_host = 1
-database_port = 2
-database_u_id = 3
-database_pw = 4
-test_name = 5
-branch_name = 6
-save_directory = 7
-
-# 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 SCPFportLat",
- "<database-host>",
- "<database-port>",
- "<database-user-id>",
- "<database-password>",
- "<test-name>",
- "<branch-name>",
- "<directory-to-save-graphs>",
- sep=" " ) )
-
- quit( status = 1 ) # basically exit(), but in R
-}
-
-# -----------------
-# Create File Names
-# -----------------
-
-print( "Creating filenames and title of graph." )
-errBarOutputFileUp <- paste( args[ save_directory ],
- "SCPFportLat_",
- args[ branch_name ],
- "_UpErrBarWithStack.jpg",
- sep = "" )
-
-errBarOutputFileDown <- paste( args[ save_directory ],
- "SCPFportLat_",
- args[ branch_name ],
- "_DownErrBarWithStack.jpg",
- 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 ] )
-
-# ------------------------
-# Port Latency SQL Command
-# ------------------------
-
-print( "Generating Port Latency SQL Command" )
-
-command <- paste( "SELECT * FROM port_latency_details WHERE branch = '",
- args[ branch_name ],
- "' AND date IN ( SELECT MAX( date ) FROM port_latency_details WHERE branch = '",
- args[ branch_name ],
- "' ) ",
- sep = "" )
-
-print( "Sending SQL command:" )
-print( command )
-
-fileData <- dbGetQuery( con, command )
-
-# **********************************************************
-# STEP 2: Organize data.
-# **********************************************************
-
-print( "**********************************************************" )
-print( "STEP 2: Organize Data." )
-print( "**********************************************************" )
-
-# -----------------------------
-# Port Up Averages Data Sorting
-# -----------------------------
-
-print( "Sorting data for Port Up Averages." )
-
-requiredColumns <- c( "up_ofp_to_dev_avg", "up_dev_to_link_avg", "up_link_to_graph_avg" )
-
-tryCatch( upAvgs <- 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 )
- }
- )
-
-
-# ----------------------------
-# Port Up Construct Data Frame
-# ----------------------------
-
-print( "Constructing Port Up data frame." )
-
-upAvgsDataFrame <- melt( upAvgs )
-upAvgsDataFrame$scale <- fileData$scale
-upAvgsDataFrame$up_std <- fileData$up_std
-
-colnames( upAvgsDataFrame ) <- c( "ms",
- "type",
- "scale",
- "stds" )
-
-upAvgsDataFrame <- na.omit( upAvgsDataFrame )
-
-upAvgsDataFrame$type <- as.character( upAvgsDataFrame$type )
-upAvgsDataFrame$type <- factor( upAvgsDataFrame$type, levels=unique( upAvgsDataFrame$type ) )
-
-sumOfUpAvgs <- fileData[ 'up_ofp_to_dev_avg' ] +
- fileData[ 'up_dev_to_link_avg' ] +
- fileData[ 'up_link_to_graph_avg' ]
-
-print( "Up Averages Results:" )
-print( upAvgsDataFrame )
-
-# -------------------------------
-# Port Down Averages Data Sorting
-# -------------------------------
-
-print( "Sorting data for Port Down Averages." )
-
-requiredColumns <- c( "down_ofp_to_dev_avg", "down_dev_to_link_avg", "down_link_to_graph_avg" )
-
-tryCatch( downAvgs <- 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 )
- }
- )
-
-# ------------------------------
-# Port Down Construct Data Frame
-# ------------------------------
-
-print( "Constructing Port Down data frame." )
-
-downAvgsDataFrame <- melt( downAvgs )
-downAvgsDataFrame$scale <- fileData$scale
-downAvgsDataFrame$down_std <- fileData$down_std
-
-colnames( downAvgsDataFrame ) <- c( "ms",
- "type",
- "scale",
- "stds" )
-
-downAvgsDataFrame <- na.omit( downAvgsDataFrame )
-
-downAvgsDataFrame$type <- as.character( downAvgsDataFrame$type )
-downAvgsDataFrame$type <- factor( downAvgsDataFrame$type, levels=unique( downAvgsDataFrame$type ) )
-
-sumOfDownAvgs <- fileData[ 'down_ofp_to_dev_avg' ] +
- fileData[ 'down_dev_to_link_avg' ] +
- fileData[ 'down_link_to_graph_avg' ]
-
-print( "Down Averages Results:" )
-print( downAvgsDataFrame )
-
-# **********************************************************
-# STEP 3: Generate graphs.
-# **********************************************************
-
-print( "**********************************************************" )
-print( "STEP 3: Generate Graph." )
-print( "**********************************************************" )
-
-# ------------------------------------
-# Initialize Variables For Both Graphs
-# ------------------------------------
-
-print( "Initializing variables used in both graphs." )
-
-theme_set( theme_grey( base_size = 22 ) ) # set the default text size of the graph.
-barWidth <- 1
-xScaleConfig <- scale_x_continuous( breaks=c( 1, 3, 5, 7, 9 ) )
-xLabel <- xlab( "Scale" )
-yLabel <- ylab( "Latency (ms)" )
-fillLabel <- labs( fill="Type" )
-wrapLegend <- guides( fill=guide_legend( nrow=1, byrow=TRUE ) )
-imageWidth <- 15
-imageHeight <- 10
-imageDPI <- 200
-errorBarColor <- rgb( 140, 140, 140, maxColorValue=255 )
-
-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="" )
-
-colors <- scale_fill_manual( values=c( "#F77670",
- "#619DFA",
- "#18BA48" ) )
-
-# --------------------------
-# Port Up Generate Main Plot
-# --------------------------
-
-print( "Generating main plot (Port Up Latency)." )
-
-mainPlot <- ggplot( data = upAvgsDataFrame, aes( x = scale,
- y = ms,
- fill = type,
- ymin = fileData[ 'up_end_to_end_avg' ],
- ymax = fileData[ 'up_end_to_end_avg' ] + stds ) )
-
-# --------------------------------------
-# Port Up Fundamental Variables Assigned
-# --------------------------------------
-
-print( "Generating fundamental graph data (Port Up Latency)." )
-
-title <- labs( title = "Port Up Latency", subtitle = subtitle )
-
-fundamentalGraphData <- mainPlot +
- xScaleConfig +
- xLabel +
- yLabel +
- fillLabel +
- theme +
- wrapLegend +
- title +
- colors
-
-# -----------------------------------
-# Port Up Generating Bar Graph Format
-# -----------------------------------
-
-print( "Generating bar graph with error bars (Port Up Latency)." )
-
-barGraphFormat <- geom_bar( stat = "identity",
- width = barWidth )
-errorBarFormat <- geom_errorbar( width = barWidth,
- color = errorBarColor )
-
-values <- geom_text( aes( x = upAvgsDataFrame$scale,
- y = sumOfUpAvgs + 0.03 * max( sumOfUpAvgs ),
- label = format( sumOfUpAvgs,
- digits=3,
- big.mark = ",",
- scientific = FALSE ) ),
- size = 7.0,
- fontface = "bold" )
-
-result <- fundamentalGraphData +
- barGraphFormat +
- errorBarFormat +
- values
-
-# -------------------------------
-# Port Up Exporting Graph to File
-# -------------------------------
-
-print( paste( "Saving bar chart with error bars (Port Up Latency) to", errBarOutputFileUp ) )
-
-tryCatch( ggsave( errBarOutputFileUp,
- 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 bar chart with error bars (Port Up Latency) out to", errBarOutputFileUp ) )
-
-# ----------------------------
-# Port Down Generate Main Plot
-# ----------------------------
-
-print( "Generating main plot (Port Down Latency)." )
-
-mainPlot <- ggplot( data = downAvgsDataFrame, aes( x = scale,
- y = ms,
- fill = type,
- ymin = fileData[ 'down_end_to_end_avg' ],
- ymax = fileData[ 'down_end_to_end_avg' ] + stds ) )
-
-# ----------------------------------------
-# Port Down Fundamental Variables Assigned
-# ----------------------------------------
-
-print( "Generating fundamental graph data (Port Down Latency)." )
-
-title <- labs( title = "Port Down Latency", subtitle = subtitle )
-
-fundamentalGraphData <- mainPlot +
- xScaleConfig +
- xLabel +
- yLabel +
- fillLabel +
- theme +
- wrapLegend +
- title +
- colors
-
-# -------------------------------------
-# Port Down Generating Bar Graph Format
-# -------------------------------------
-
-print( "Generating bar graph with error bars (Port Down Latency)." )
-
-barGraphFormat <- geom_bar( stat = "identity",
- width = barWidth )
-errorBarFormat <- geom_errorbar( width = barWidth,
- color = errorBarColor )
-
-values <- geom_text( aes( x = downAvgsDataFrame$scale,
- y = sumOfDownAvgs + 0.03 * max( sumOfDownAvgs ),
- label = format( sumOfDownAvgs,
- digits=3,
- big.mark = ",",
- scientific = FALSE ) ),
- size = 7.0,
- fontface = "bold" )
-
-result <- fundamentalGraphData +
- barGraphFormat +
- errorBarFormat +
- values
-
-# ---------------------------------
-# Port Down Exporting Graph to File
-# ---------------------------------
-
-print( paste( "Saving bar chart with error bars (Port Down Latency) to", errBarOutputFileDown ) )
-
-tryCatch( ggsave( errBarOutputFileDown,
- 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 bar chart with error bars (Port Down Latency) out to", errBarOutputFileDown ) )
-quit( status = 0 )
diff --git a/TestON/JenkinsFile/scripts/SCPFscaleTopo.R b/TestON/JenkinsFile/scripts/SCPFscaleTopo.R
deleted file mode 100644
index f6da0d2..0000000
--- a/TestON/JenkinsFile/scripts/SCPFscaleTopo.R
+++ /dev/null
@@ -1,268 +0,0 @@
-# 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.
-# **********************************************************
-print( "**********************************************************" )
-print( "STEP 1: Data management." )
-print( "**********************************************************" )
-database_host = 1
-database_port = 2
-database_u_id = 3
-database_pw = 4
-test_name = 5
-branch_name = 6
-save_directory = 7
-
-# 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 SCPFgraphGenerator",
- "<database-host>",
- "<database-port>",
- "<database-user-id>",
- "<database-password>",
- "<test-name>",
- "<branch-name>",
- "<directory-to-save-graphs>",
- sep=" ") )
-
- quit( status = 1 ) # basically exit(), but in R
-}
-
-# -----------------
-# Create File Names
-# -----------------
-
-print( "Creating filenames and title of graph." )
-
-outputFile <- paste( args[ save_directory ],
- args[ test_name ],
- "_",
- args[ branch_name ],
- "_graph.jpg",
- sep="" )
-
-chartTitle <- "Scale Topology Latency Test"
-
-# ------------------
-# 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 ] )
-
-# --------------------------
-# Scale Topology SQL Command
-# --------------------------
-
-print( "Generating Scale Topology SQL Command" )
-
-command <- paste( "SELECT * FROM scale_topo_latency_details WHERE branch = '",
- args[ branch_name ],
- "' AND date IN ( SELECT MAX( date ) FROM scale_topo_latency_details WHERE branch = '",
- args[ branch_name ],
- "' ) ",
- sep = "" )
-
-print( "Sending SQL command:" )
-print( command )
-fileData <- dbGetQuery( con, command )
-
-# **********************************************************
-# STEP 2: Organize data.
-# **********************************************************
-
-print( "**********************************************************" )
-print( "STEP 2: Organize Data." )
-print( "**********************************************************" )
-
-# ------------
-# Data Sorting
-# ------------
-
-print( "Sorting data." )
-
-requiredColumns <- c( "last_role_request_to_last_topology", "last_connection_to_last_role_request", "first_connection_to_last_connection" )
-
-tryCatch( avgs <- 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" )
-
-# Parse lists into data frames.
-dataFrame <- melt( avgs )
-dataFrame$scale <- fileData$scale
-colnames( dataFrame ) <- c( "s",
- "type",
- "scale")
-
-# Format data frame so that the data is in the same order as it appeared in the file.
-dataFrame$type <- as.character( dataFrame$type )
-dataFrame$type <- factor( dataFrame$type, levels=unique( dataFrame$type ) )
-dataFrame$iterative <- seq( 1, nrow( fileData ), by = 1 )
-
-dataFrame <- na.omit( dataFrame ) # Omit any data that doesn't exist
-
-sum <- fileData[ 'last_role_request_to_last_topology' ] +
- fileData[ 'last_connection_to_last_role_request' ] +
- fileData[ 'first_connection_to_last_connection' ]
-
-print( "Data Frame Results:" )
-print( dataFrame )
-
-# **********************************************************
-# STEP 3: Generate graphs.
-# **********************************************************
-
-print( "**********************************************************" )
-print( "STEP 3: Generate Graph." )
-print( "**********************************************************" )
-
-# ------------------
-# Generate Main Plot
-# ------------------
-
-print( "Creating main plot." )
-
-mainPlot <- ggplot( data = dataFrame, aes( x = iterative,
- y = s,
- fill = type ) )
-
-# ------------------------------
-# Fundamental Variables Assigned
-# ------------------------------
-
-print( "Generating fundamental graph data." )
-
-theme_set( theme_grey( base_size = 20 ) ) # set the default text size of the graph.
-width <- 0.6 # Width of the bars.
-xScaleConfig <- scale_x_continuous( breaks = dataFrame$iterative,
- label = dataFrame$scale )
-xLabel <- xlab( "Scale" )
-yLabel <- ylab( "Latency (s)" )
-fillLabel <- labs( fill="Type" )
-imageWidth <- 15
-imageHeight <- 10
-imageDPI <- 200
-
-theme <- theme( plot.title = element_text( hjust = 0.5, size = 32, face = 'bold' ),
- legend.position = "bottom",
- legend.text = element_text( size=22 ),
- legend.title = element_blank(),
- legend.key.size = unit( 1.5, 'lines' ),
- plot.subtitle = element_text( size=16, hjust=1.0 ) )
-
-subtitle <- paste( "Last Updated: ", format( Sys.time(), format = "%b %d, %Y at %I:%M %p %Z" ), sep="" )
-
-values <- geom_text( aes( x = dataFrame$iterative,
- y = sum + 0.02 * max( sum ),
- label = format( sum,
- big.mark = ",",
- scientific = FALSE ),
- fontface = "bold" ),
- size = 7.0 )
-
-wrapLegend <- guides( fill = guide_legend( nrow=2, byrow=TRUE ) )
-
-title <- labs( title = chartTitle, subtitle = subtitle )
-
-# Store plot configurations as 1 variable
-fundamentalGraphData <- mainPlot +
- xScaleConfig +
- xLabel +
- yLabel +
- fillLabel +
- theme +
- values +
- wrapLegend +
- title
-
-# ---------------------------
-# Generating Bar Graph Format
-# ---------------------------
-
-print( "Generating bar graph." )
-
-barGraphFormat <- geom_bar( stat = "identity", width = width )
-
-result <- fundamentalGraphData +
- barGraphFormat
-
-# -----------------------
-# Exporting Graph to File
-# -----------------------
-
-print( paste( "Saving bar chart to", outputFile ) )
-
-tryCatch( ggsave( outputFile,
- 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 bar chart out to", outputFile ) )
-quit( status = 0 )
diff --git a/TestON/JenkinsFile/scripts/SCPFscalingMaxIntents.R b/TestON/JenkinsFile/scripts/SCPFscalingMaxIntents.R
deleted file mode 100644
index 045f5e7..0000000
--- a/TestON/JenkinsFile/scripts/SCPFscalingMaxIntents.R
+++ /dev/null
@@ -1,290 +0,0 @@
-# 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.
-# **********************************************************
-
-print( "**********************************************************" )
-print( "STEP 1: Data management." )
-print( "**********************************************************" )
-has_flow_obj = 1
-database_host = 2
-database_port = 3
-database_u_id = 4
-database_pw = 5
-test_name = 6
-branch_name = 7
-old_flow = 8
-save_directory = 9
-
-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 SCPFInstalledIntentsFlows",
- "<has-flowObj>",
- "<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." )
-
-fileFlowObjModifier <- ""
-sqlFlowObjModifier <- ""
-chartTitle <- "Number of Installed Intents & Flows"
-
-if ( args[ has_flow_obj ] == "y" ){
- fileFlowObjModifier <- "_flowObj"
- sqlFlowObjModifier <- "fobj_"
- chartTitle <- "Number of Installed Intents & Flows\n with Flow Objectives"
-}
-fileOldFlowModifier <- ""
-if ( args[ old_flow ] == 'y' ){
- fileOldFlowModifier <- "_OldFlow"
- chartTitle <- paste( chartTitle, "With Eventually Consistent Flow Rule Store", sep="\n" )
-}
-
-outputFile <- paste( args[ save_directory ],
- args[ test_name ],
- fileFlowObjModifier,
- fileOldFlowModifier,
- "_",
- args[ branch_name ],
- "_errGraph.jpg",
- 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 ] )
-
-# -------------------------------
-# Scaling Max Intents SQL Command
-# -------------------------------
-
-print( "Scaling Max Intents SQL Command" )
-
-command <- paste( "SELECT * FROM max_intents_",
- sqlFlowObjModifier,
- "tests WHERE branch = '",
- args[ branch_name ],
- "' AND date IN ( SELECT MAX( date ) FROM max_intents_",
- sqlFlowObjModifier,
- "tests WHERE branch = '",
- args[ branch_name ],
- "' AND ",
- ( if( args[ old_flow ] == 'y' ) "" else "NOT " ),
- "is_old_flow",
- " ) ",
- sep="" )
-
-print( "Sending SQL command:" )
-print( command )
-fileData <- dbGetQuery( con, command )
-
-# **********************************************************
-# STEP 2: Organize data.
-# **********************************************************
-
-print( "**********************************************************" )
-print( "STEP 2: Organize Data." )
-print( "**********************************************************" )
-
-# ------------
-# Data Sorting
-# ------------
-
-print( "Sorting data." )
-
-requiredColumns <- c( "max_intents_ovs", "max_flows_ovs" )
-
-tryCatch( avgs <- 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" )
-
-dataFrame <- melt( avgs )
-dataFrame$scale <- fileData$scale
-
-colnames( dataFrame ) <- c( "ms", "type", "scale" )
-
-dataFrame$type <- as.character( dataFrame$type )
-dataFrame$type <- factor( dataFrame$type, levels=unique( dataFrame$type ) )
-
-dataFrame <- na.omit( dataFrame ) # Omit any data that doesn't exist
-
-print( "Data Frame Results:" )
-print( dataFrame )
-
-# **********************************************************
-# STEP 3: Generate graphs.
-# **********************************************************
-
-print( "**********************************************************" )
-print( "STEP 3: Generate Graph." )
-print( "**********************************************************" )
-
-# ------------------
-# Generate Main Plot
-# ------------------
-
-print( "Creating main plot." )
-mainPlot <- ggplot( data = dataFrame, aes( x = scale,
- y = ms,
- fill = type ) )
-
-# ------------------------------
-# Fundamental Variables Assigned
-# ------------------------------
-
-print( "Generating fundamental graph data." )
-
-barWidth <- 1.3
-theme_set( theme_grey( base_size = 22 ) ) # set the default text size of the graph.
-xScaleConfig <- scale_x_continuous( breaks=c( 1, 3, 5, 7, 9 ) )
-xLabel <- xlab( "Scale" )
-yLabel <- ylab( "Max Number of Intents/Flow Rules" )
-fillLabel <- labs( fill="Type" )
-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="" )
-
-colors <- scale_fill_manual( values = c( "#F77670",
- "#619DFA" ) )
-
-wrapLegend <- guides( fill = guide_legend( nrow = 1, byrow = TRUE ) )
-
-title <- labs( title = chartTitle, subtitle = subtitle )
-
-fundamentalGraphData <- mainPlot +
- xScaleConfig +
- xLabel +
- yLabel +
- fillLabel +
- theme +
- wrapLegend +
- title +
- colors
-
-# ---------------------------
-# Generating Bar Graph Format
-# ---------------------------
-
-print( "Generating bar graph." )
-
-barGraphFormat <- geom_bar( stat = "identity",
- position = position_dodge(),
- width = barWidth )
-
-values <- geom_text( aes( x = dataFrame$scale,
- y = dataFrame$ms + 0.015 * max( dataFrame$ms ),
- label = format( dataFrame$ms,
- digits=3,
- big.mark = ",",
- scientific = FALSE ) ),
- size = 5.2,
- fontface = "bold",
- position = position_dodge( width = 1.25 ) )
-
-result <- fundamentalGraphData +
- barGraphFormat +
- values
-
-# -----------------------
-# Exporting Graph to File
-# -----------------------
-
-print( paste( "Saving bar chart to", outputFile ) )
-
-tryCatch( ggsave( outputFile,
- 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 bar chart out to", outputFile ) )
-quit( status = 0 )
diff --git a/TestON/JenkinsFile/scripts/SCPFswitchLat.R b/TestON/JenkinsFile/scripts/SCPFswitchLat.R
deleted file mode 100644
index 86290db..0000000
--- a/TestON/JenkinsFile/scripts/SCPFswitchLat.R
+++ /dev/null
@@ -1,407 +0,0 @@
-# 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.
-# **********************************************************
-
-print( "**********************************************************" )
-print( "STEP 1: Data management." )
-print( "**********************************************************" )
-database_host = 1
-database_port = 2
-database_u_id = 3
-database_pw = 4
-test_name = 5
-branch_name = 6
-save_directory = 7
-
-# 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 SCPFswitchLat",
- "<database-host>",
- "<database-port>",
- "<database-user-id>",
- "<database-password>",
- "<test-name>",
- "<branch-name>",
- "<directory-to-save-graphs>",
- sep=" ") )
-
- quit( status = 1 ) # basically exit(), but in R
-}
-
-# -----------------
-# Create File Names
-# -----------------
-
-print( "Creating filenames and title of graph." )
-
-errBarOutputFileUp <- paste( args[ save_directory ],
- "SCPFswitchLat_",
- args[ branch_name ],
- "_UpErrBarWithStack.jpg",
- sep="" )
-
-errBarOutputFileDown <- paste( args[ save_directory ],
- "SCPFswitchLat_",
- args[ branch_name ],
- "_DownErrBarWithStack.jpg",
- 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 ] )
-
-# --------------------------
-# Switch Latency SQL Command
-# --------------------------
-
-print( "Generating Switch Latency SQL Command" )
-
-command <- paste( "SELECT * FROM switch_latency_details WHERE branch = '",
- args[ branch_name ],
- "' AND date IN ( SELECT MAX( date ) FROM switch_latency_details WHERE branch='",
- args[ branch_name ],
- "' )",
- sep="" )
-
-print( "Sending SQL command:" )
-print( command )
-
-fileData <- dbGetQuery( con, command )
-
-# **********************************************************
-# STEP 2: Organize data.
-# **********************************************************
-
-print( "**********************************************************" )
-print( "STEP 2: Organize Data." )
-print( "**********************************************************" )
-
-# -------------------------------
-# Switch Up Averages Data Sorting
-# -------------------------------
-
-print( "Sorting data for Switch Up Averages." )
-
-requiredColumns <- c( "up_device_to_graph_avg",
- "feature_reply_to_device_avg",
- "tcp_to_feature_reply_avg" )
-
-tryCatch( upAvgs <- 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 )
- }
- )
-
-# ------------------------------
-# Switch Up Construct Data Frame
-# ------------------------------
-
-print( "Constructing Switch Up data frame." )
-
-upAvgsData <- melt( upAvgs )
-upAvgsData$scale <- fileData$scale
-upAvgsData$up_std <- fileData$up_std
-upAvgsData <- na.omit( upAvgsData )
-
-colnames( upAvgsData ) <- c( "ms",
- "type",
- "scale",
- "stds" )
-
-upAvgsData$type <- as.character( upAvgsData$type )
-upAvgsData$type <- factor( upAvgsData$type, levels=unique( upAvgsData$type ) )
-
-sumOfUpAvgs <- fileData[ 'up_device_to_graph_avg' ] +
- fileData[ 'feature_reply_to_device_avg' ] +
- fileData[ 'tcp_to_feature_reply_avg' ]
-
-print( "Up Averages Results:" )
-print( upAvgsData )
-
-# ---------------------------------
-# Switch Down Averages Data Sorting
-# ---------------------------------
-
-print( "Sorting data for Switch Down Averages." )
-
-requiredColumns <- c( "down_device_to_graph_avg",
- "ack_to_device_avg",
- "fin_ack_to_ack_avg" )
-
-tryCatch( downAvgs <- 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 )
- }
- )
-
-# --------------------------------
-# Switch Down Construct Data Frame
-# --------------------------------
-
-print( "Constructing Switch Down data frame." )
-
-downAvgsData <- melt( downAvgs )
-downAvgsData$scale <- fileData$scale
-downAvgsData$down_std <- fileData$down_std
-
-colnames( downAvgsData ) <- c( "ms",
- "type",
- "scale",
- "stds" )
-
-downAvgsData$type <- as.character( downAvgsData$type )
-downAvgsData$type <- factor( downAvgsData$type, levels=unique( downAvgsData$type ) )
-
-downAvgsData <- na.omit( downAvgsData )
-
-sumOfDownAvgs <- fileData[ 'down_device_to_graph_avg' ] +
- fileData[ 'ack_to_device_avg' ] +
- fileData[ 'fin_ack_to_ack_avg' ]
-
-print( "Down Averages Results:" )
-print( downAvgsData )
-
-# **********************************************************
-# STEP 3: Generate graphs.
-# **********************************************************
-
-print( "**********************************************************" )
-print( "STEP 3: Generate Graph." )
-print( "**********************************************************" )
-
-# ------------------------------------
-# Initialize Variables For Both Graphs
-# ------------------------------------
-
-print( "Initializing variables used in both graphs." )
-
-theme_set( theme_grey( base_size = 22 ) ) # set the default text size of the graphs
-xScaleConfig <- scale_x_continuous( breaks = c( 1, 3, 5, 7, 9 ) )
-xLabel <- xlab( "Scale" )
-yLabel <- ylab( "Latency (ms)" )
-imageWidth <- 15
-imageHeight <- 10
-imageDPI <- 200
-errorBarColor <- rgb( 140, 140, 140, maxColorValue = 255 )
-barWidth <- 1
-
-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="" )
-
-# ----------------------------
-# Switch Up Generate Main Plot
-# ----------------------------
-
-print( "Creating main plot (Switch Up Latency)." )
-
-mainPlot <- ggplot( data = upAvgsData, aes( x = scale,
- y = ms,
- fill = type,
- ymin = fileData[ 'up_end_to_end_avg' ],
- ymax = fileData[ 'up_end_to_end_avg' ] + stds ) )
-
-# ----------------------------------------
-# Switch Up Fundamental Variables Assigned
-# ----------------------------------------
-
-print( "Generating fundamental graph data (Switch Up Latency)." )
-
-title <- labs( title = "Switch Up Latency", subtitle = subtitle )
-
-fundamentalGraphData <- mainPlot +
- xScaleConfig +
- xLabel +
- yLabel +
- theme +
- title
-
-# -------------------------------------
-# Switch Up Generating Bar Graph Format
-# -------------------------------------
-
-print( "Generating bar graph with error bars (Switch Up Latency)." )
-
-barGraphFormat <- geom_bar( stat = "identity", width = barWidth )
-errorBarFormat <- geom_errorbar( width = barWidth, color = errorBarColor )
-
-barGraphValues <- geom_text( aes( x = upAvgsData$scale,
- y = sumOfUpAvgs + 0.04 * max( sumOfUpAvgs ),
- label = format( sumOfUpAvgs,
- digits = 3,
- big.mark = ",",
- scientific = FALSE ) ),
- size = 7.0,
- fontface = "bold" )
-
-wrapLegend <- guides( fill = guide_legend( nrow = 2, byrow = TRUE ) )
-
-result <- fundamentalGraphData +
- barGraphFormat +
- errorBarFormat +
- barGraphValues +
- wrapLegend
-
-# ---------------------------------
-# Switch Up Exporting Graph to File
-# ---------------------------------
-
-print( paste( "Saving bar chart with error bars (Switch Up Latency) to", errBarOutputFileUp ) )
-
-tryCatch( ggsave( errBarOutputFileUp,
- 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 bar chart with error bars (Switch Up Latency) out to", errBarOutputFileUp ) )
-
-# ------------------------------
-# Switch Down Generate Main Plot
-# ------------------------------
-
-print( "Creating main plot (Switch Down Latency)." )
-
-mainPlot <- ggplot( data = downAvgsData, aes( x = scale,
- y = ms,
- fill = type,
- ymin = fileData[ 'down_end_to_end_avg' ],
- ymax = fileData[ 'down_end_to_end_avg' ] + stds ) )
-
-# ------------------------------------------
-# Switch Down Fundamental Variables Assigned
-# ------------------------------------------
-
-print( "Generating fundamental graph data (Switch Down Latency)." )
-
-colors <- scale_fill_manual( values=c( "#F77670", # Red
- "#619DFA", # Blue
- "#18BA48" ) ) # Green
-
-title <- labs( title = "Switch Down Latency", subtitle = subtitle )
-
-fundamentalGraphData <- mainPlot +
- xScaleConfig +
- xLabel +
- yLabel +
- theme +
- title
-
-# ---------------------------------------
-# Switch Down Generating Bar Graph Format
-# ---------------------------------------
-
-print( "Generating bar graph with error bars (Switch Down Latency)." )
-barGraphFormat <- geom_bar( stat = "identity", width = barWidth )
-errorBarFormat <- geom_errorbar( width = barWidth, color = errorBarColor )
-
-barGraphValues <- geom_text( aes( x = downAvgsData$scale,
- y = sumOfDownAvgs + 0.04 * max( sumOfDownAvgs ),
- label = format( sumOfDownAvgs,
- digits = 3,
- big.mark = ",",
- scientific = FALSE ) ),
- size = 7.0,
- fontface = "bold" )
-
-wrapLegend <- guides( fill = guide_legend( nrow = 1, byrow = TRUE ) )
-
-result <- fundamentalGraphData +
- barGraphFormat +
- colors +
- errorBarFormat +
- barGraphValues +
- wrapLegend
-
-# -----------------------------------
-# Switch Down Exporting Graph to File
-# -----------------------------------
-
-print( paste( "Saving bar chart with error bars (Switch Down Latency) to", errBarOutputFileDown ) )
-
-tryCatch( ggsave( errBarOutputFileDown,
- 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 bar chart with error bars (Switch Down Latency) out to", errBarOutputFileDown ) )
-quit( status = 0 )
diff --git a/TestON/JenkinsFile/scripts/testCaseGraphGenerator.R b/TestON/JenkinsFile/scripts/testCaseGraphGenerator.R
deleted file mode 100644
index 5671a38..0000000
--- a/TestON/JenkinsFile/scripts/testCaseGraphGenerator.R
+++ /dev/null
@@ -1,323 +0,0 @@
-# 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
-
-# This is the R script that generates the FUNC, HA, and various USECASE result graphs.
-
-# **********************************************************
-# 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 )
-
-# ----------------
-# Import Libraries
-# ----------------
-
-print( "Importing libraries." )
-library( ggplot2 )
-library( reshape2 )
-library( RPostgreSQL )
-
-# -------------------
-# Check CLI Arguments
-# -------------------
-
-print( "Verifying CLI args." )
-
-if ( is.na( args[ 8 ] ) ){
-
- print( paste( "Usage: Rscript testCaseGraphGenerator.R",
- "<database-host>",
- "<database-port>",
- "<database-user-id>",
- "<database-password>",
- "<test-name>", # part of the output filename
- "<branch-name>", # for sql and output filename
- "<#-builds-to-show>", # for sql and output filename
- "<directory-to-save-graphs>",
- sep=" " ) )
-
- quit( status = 1 ) # basically exit(), but in R
-}
-
-# -------------------------------
-# Create Title and Graph Filename
-# -------------------------------
-
-print( "Creating title of graph." )
-
-title <- paste( args[ 5 ],
- " - ",
- args[ 6 ],
- " \n Results of Last ",
- args[ 7 ],
- " Builds",
- sep="" )
-
-print( "Creating graph filename." )
-
-outputFile <- paste( args[ 8 ],
- args[ 5 ],
- "_",
- args[ 6 ],
- "_",
- args[ 7 ],
- "-builds_graph.jpg",
- sep="" )
-
-# ------------------
-# SQL Initialization
-# ------------------
-
-print( "Initializing SQL" )
-
-con <- dbConnect( dbDriver( "PostgreSQL" ),
- dbname = "onostest",
- host = args[ 1 ],
- port = strtoi( args[ 2 ] ),
- user = args[ 3 ],
- password = args[ 4 ] )
-
-# ---------------------
-# Test Case SQL Command
-# ---------------------
-print( "Generating Test Case SQL command." )
-
-command <- paste( "SELECT * FROM executed_test_tests WHERE actual_test_name='",
- args[ 5 ],
- "' AND branch='",
- args[ 6 ],
- "' ORDER BY date DESC LIMIT ",
- args[ 7 ],
- sep="" )
-
-print( "Sending SQL command:" )
-print( command )
-fileData <- dbGetQuery( 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$iterative <- rev( seq( 1, nrow( fileData ), by = 1 ) )
-
-# Omit any data that doesn't exist
-dataFrame <- na.omit( dataFrame )
-
-print( "Data Frame Results:" )
-print( dataFrame )
-
-# **********************************************************
-# STEP 3: Generate graphs.
-# **********************************************************
-
-print( "**********************************************************" )
-print( "STEP 3: Generate Graph." )
-print( "**********************************************************" )
-
-# -------------------
-# Main Plot Generated
-# -------------------
-
-print( "Creating main plot." )
-# Create the primary plot here.
-# ggplot contains the following arguments:
-# - data: the data frame that the graph will be based off of
-# - aes: the asthetics of the graph which require:
-# - x: x-axis values (usually iterative, but it will become build # later)
-# - y: y-axis values (usually tests)
-# - color: the category of the colored lines (usually status of test)
-
-mainPlot <- ggplot( data = dataFrame, aes( x = iterative,
- y = Tests,
- color = Status ) )
-
-# -------------------
-# Main Plot Formatted
-# -------------------
-
-print( "Formatting main plot." )
-
-# geom_ribbon is used so that there is a colored fill below the lines. These values shouldn't be changed.
-failedColor <- geom_ribbon( aes( ymin = 0,
- ymax = dataFrame$num_failed ),
- fill = "red",
- linetype = 0,
- alpha = 0.07 )
-
-passedColor <- geom_ribbon( aes( ymin = 0,
- ymax = dataFrame$num_passed ),
- fill = "green",
- linetype = 0,
- alpha = 0.05 )
-
-plannedColor <- geom_ribbon( aes( ymin = 0,
- ymax = dataFrame$num_planned ),
- fill = "blue",
- linetype = 0,
- alpha = 0.01 )
-
-# Colors for the lines
-lineColors <- scale_color_manual( values=c( "#E80000", # red
- "#00B208", # green
- "#00A5FF") ) # blue
-
-# ------------------------------
-# 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$iterative,
- label = dataFrame$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" )
-
-imageWidth <- 15
-imageHeight <- 10
-imageDPI <- 200
-
-legendLabels <- scale_colour_discrete( labels = c( "Failed Cases",
- "Passed Cases",
- "Planned Cases" ) )
-
-# Set other graph configurations here.
-theme <- theme( plot.title = element_text( hjust = 0.5, size = 32, face ='bold' ),
- axis.text.x = element_text( angle = 0, size = 14 ),
- 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="" )
-
-title <- labs( title = title, subtitle = subtitle )
-
-# Store plot configurations as 1 variable
-fundamentalGraphData <- mainPlot +
- plannedColor +
- passedColor +
- failedColor +
- xScaleConfig +
- yScaleConfig +
- xLabel +
- yLabel +
- lineColors +
- legendLabels +
- theme +
- 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
-# -----------------------
-
-print( paste( "Saving result graph to", outputFile ) )
-
-tryCatch( ggsave( outputFile,
- 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 result graph out to", outputFile ) )
-quit( status = 0 )
diff --git a/TestON/JenkinsFile/scripts/testCategoryBuildStats.R b/TestON/JenkinsFile/scripts/testCategoryBuildStats.R
deleted file mode 100644
index 94c3572..0000000
--- a/TestON/JenkinsFile/scripts/testCategoryBuildStats.R
+++ /dev/null
@@ -1,399 +0,0 @@
-# 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/>.
-#
-# 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.
-# **********************************************************
-
-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 )
-
-databaseHost <- 1
-databasePort <- 2
-databaseUserID <- 3
-databasePassword <- 4
-testSuiteName <- 5
-branchName <- 6
-testsToInclude <- 7
-buildToShow <- 8
-saveDirectory <- 9
-
-# ----------------
-# Import Libraries
-# ----------------
-
-print( "Importing libraries." )
-library( ggplot2 )
-library( reshape2 )
-library( RPostgreSQL )
-
-# -------------------
-# Check CLI Arguments
-# -------------------
-
-print( "Verifying CLI args." )
-
-if ( is.na( args[ saveDirectory ] ) ){
-
- print( paste( "Usage: Rscript testCategoryBuildStats.R",
- "<database-host>",
- "<database-port>",
- "<database-user-id>",
- "<database-password>",
- "<test-suite-name>",
- "<branch-name>",
- "<tests-to-include-(as-one-string-sep-groups-by-semicolon-title-as-first-group-item-sep-by-dash)>",
- "<build-to-show>",
- "<directory-to-save-graphs>",
- sep=" " ) )
-
- quit( status = 1 ) # basically exit(), but in R
-}
-
-# ------------------
-# SQL Initialization
-# ------------------
-
-print( "Initializing SQL" )
-
-con <- dbConnect( dbDriver( "PostgreSQL" ),
- dbname = "onostest",
- host = args[ databaseHost ],
- port = strtoi( args[ databasePort ] ),
- user = args[ databaseUserID ],
- password = args[ databasePassword ] )
-
-# ---------------------
-# Test Case SQL Command
-# ---------------------
-
-print( "Generating Test Case SQL command." )
-
-tests <- "'"
-for ( test in as.list( strsplit( args[ testsToInclude ], "," )[[1]] ) ){
- tests <- paste( tests, test, "','", sep="" )
-}
-tests <- substr( tests, 0, nchar( tests ) - 2 )
-
-fileBuildToShow <- args[ buildToShow ]
-operator <- "= "
-buildTitle <- ""
-if ( args[ buildToShow ] == "latest" ){
- buildTitle <- "\nLatest Test Results"
- operator <- ">= "
- args[ buildToShow ] <- "1000"
-} else {
- buildTitle <- paste( " \n Build #", args[ buildToShow ] , sep="" )
-}
-
-tests <- strsplit( args[ testsToInclude ], ";" )
-dbResults <- list()
-titles <- list()
-
-for ( i in 1:length( tests[[1]] ) ){
- splitTestList <- strsplit( tests[[1]][ i ], "-" )
- testList <- splitTestList[[1]][2]
- titles[[i]] <- splitTestList[[1]][1]
-
- testsCommand <- "'"
- for ( test in as.list( strsplit( testList, "," )[[1]] ) ){
- testsCommand <- paste( testsCommand, test, "','", sep="" )
- }
- testsCommand <- substr( testsCommand, 0, nchar( testsCommand ) - 2 )
-
- command <- paste( "SELECT * ",
- "FROM executed_test_tests a ",
- "WHERE ( SELECT COUNT( * ) FROM executed_test_tests b ",
- "WHERE b.branch='",
- args[ branchName ],
- "' AND b.actual_test_name IN (",
- testsCommand,
- ") AND a.actual_test_name = b.actual_test_name AND a.date <= b.date AND b.build ", operator,
- args[ buildToShow ],
- " ) = ",
- 1,
- " AND a.branch='",
- args[ branchName ],
- "' AND a.actual_test_name IN (",
- testsCommand,
- ") AND a.build ", operator,
- args[ buildToShow ],
- " ORDER BY a.actual_test_name DESC, a.date DESC",
- sep="")
- print( "Sending SQL command:" )
- print( command )
- dbResults[[i]] <- dbGetQuery( con, command )
-}
-
-print( "dbResult:" )
-print( dbResults )
-
-# -------------------------------
-# Create Title and Graph Filename
-# -------------------------------
-
-print( "Creating title of graph." )
-
-titlePrefix <- paste( args[ testSuiteName ], " ", sep="" )
-if ( args[ testSuiteName ] == "ALL" ){
- titlePrefix <- ""
-}
-
-title <- paste( titlePrefix,
- "Summary of Test Suites - ",
- args[ branchName ],
- buildTitle,
- sep="" )
-
-print( "Creating graph filename." )
-
-outputFile <- paste( args[ saveDirectory ],
- args[ testSuiteName ],
- "_",
- args[ branchName ],
- "_build-",
- fileBuildToShow,
- "_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$perc[[i]], digits = 2 ), "% - ", relativeCases[[i]], " Test", sep="" ) )
- }
- if ( !dataFrame[ i, "willDisplayValue" ] ){
- dataFrame[ i, "valueDisplay" ] <- ""
- }
-}
-
-print( "Data Frame Results:" )
-print( dataFrame )
-
-# **********************************************************
-# STEP 3: Generate graphs.
-# **********************************************************
-
-print( "**********************************************************" )
-print( "STEP 3: Generate Graph." )
-print( "**********************************************************" )
-
-# -------------------
-# Main Plot Generated
-# -------------------
-
-print( "Creating main plot." )
-# Create the primary plot here.
-# ggplot contains the following arguments:
-# - data: the data frame that the graph will be based off of
-# - aes: the asthetics of the graph which require:
-# - x: x-axis values (usually iterative, but it will become build # later)
-# - y: y-axis values (usually tests)
-# - color: the category of the colored lines (usually status of test)
-
-# -------------------
-# Main Plot Formatted
-# -------------------
-
-print( "Formatting main plot." )
-mainPlot <- ggplot( data = dataFrame, aes( x = suite,
- y = perc,
- fill = key ) )
-
-# ------------------------------
-# Fundamental Variables Assigned
-# ------------------------------
-
-print( "Generating fundamental graph data." )
-
-theme_set( theme_grey( base_size = 26 ) ) # set the default text size of the graph.
-
-xScaleConfig <- scale_x_continuous( breaks = dataFrame$suite,
- label = dataFrame$xtitles )
-yScaleConfig <- scale_y_continuous( breaks = seq( 0, 100,
- by = 10 ) )
-
-xLabel <- xlab( "" )
-yLabel <- ylab( "Total Test Cases (%)" )
-
-imageWidth <- 15
-imageHeight <- 10
-imageDPI <- 200
-
-# Set other graph configurations here.
-theme <- theme( plot.title = element_text( hjust = 0.5, size = 32, face ='bold' ),
- axis.text.x = element_text( angle = 0, size = 25 - 1.25 * length( dbResults ) ),
- legend.position = "bottom",
- legend.text = element_text( size = 22 ),
- legend.title = element_blank(),
- legend.key.size = unit( 1.5, 'lines' ),
- plot.subtitle = element_text( size=16, hjust=1.0 ) )
-
-subtitle <- paste( "Last Updated: ", format( Sys.time(), format = "%b %d, %Y at %I:%M %p %Z" ), sep="" )
-
-title <- labs( title = title, subtitle = subtitle )
-
-# Store plot configurations as 1 variable
-fundamentalGraphData <- mainPlot +
- xScaleConfig +
- yScaleConfig +
- xLabel +
- yLabel +
- theme +
- title
-
-# ---------------------------
-# Generating Bar Graph Format
-# ---------------------------
-
-print( "Generating bar graph." )
-
-unexecutedColor <- "#CCCCCC" # Gray
-failedColor <- "#E02020" # Red
-passedColor <- "#16B645" # Green
-
-colors <- scale_fill_manual( values=c( if ( "Skipped/Unexecuted" %in% dataFrame$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
-# -----------------------
-
-print( paste( "Saving result graph to", outputFile ) )
-
-tryCatch( ggsave( outputFile,
- 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 result graph out to", outputFile ) )
-quit( status = 0 )
diff --git a/TestON/JenkinsFile/scripts/testCategoryPiePassFail.R b/TestON/JenkinsFile/scripts/testCategoryPiePassFail.R
deleted file mode 100644
index 0b731b5..0000000
--- a/TestON/JenkinsFile/scripts/testCategoryPiePassFail.R
+++ /dev/null
@@ -1,341 +0,0 @@
-# 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/>.
-#
-# 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.
-# **********************************************************
-
-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 )
-
-databaseHost <- 1
-databasePort <- 2
-databaseUserID <- 3
-databasePassword <- 4
-testSuiteName <- 5
-branchName <- 6
-testsToInclude <- 7
-buildToShow <- 8
-isDisplayingPlan <- 9
-saveDirectory <- 10
-
-# ----------------
-# Import Libraries
-# ----------------
-
-print( "Importing libraries." )
-library( ggplot2 )
-library( reshape2 )
-library( RPostgreSQL )
-
-# -------------------
-# Check CLI Arguments
-# -------------------
-
-print( "Verifying CLI args." )
-
-if ( is.na( args[ saveDirectory ] ) ){
-
- print( paste( "Usage: Rscript testCategoryPiePassFail.R",
- "<database-host>",
- "<database-port>",
- "<database-user-id>",
- "<database-password>",
- "<test-suite-name>",
- "<branch-name>",
- "<tests-to-include-(as-one-string)>",
- "<build-to-show>",
- "<is-displaying-plan>",
- "<directory-to-save-graphs>",
- sep=" " ) )
-
- quit( status = 1 ) # basically exit(), but in R
-}
-
-# ------------------
-# SQL Initialization
-# ------------------
-
-print( "Initializing SQL" )
-
-con <- dbConnect( dbDriver( "PostgreSQL" ),
- dbname = "onostest",
- host = args[ databaseHost ],
- port = strtoi( args[ databasePort ] ),
- user = args[ databaseUserID ],
- password = args[ databasePassword ] )
-
-# ---------------------
-# Test Case SQL Command
-# ---------------------
-
-print( "Generating Test Case SQL command." )
-
-tests <- "'"
-for ( test in as.list( strsplit( args[ testsToInclude ], "," )[[1]] ) ){
- tests <- paste( tests, test, "','", sep="" )
-}
-tests <- substr( tests, 0, nchar( tests ) - 2 )
-
-fileBuildToShow <- args[ buildToShow ]
-operator <- "= "
-buildTitle <- ""
-if ( args[ buildToShow ] == "latest" ){
- buildTitle <- "\nLatest Test Results"
- operator <- ">= "
- args[ buildToShow ] <- "1000"
-} else {
- buildTitle <- paste( " \n Build #", args[ buildToShow ], sep="" )
-}
-
-command <- paste( "SELECT * ",
- "FROM executed_test_tests a ",
- "WHERE ( SELECT COUNT( * ) FROM executed_test_tests b ",
- "WHERE b.branch='",
- args[ branchName ],
- "' AND b.actual_test_name IN (",
- tests,
- ") AND a.actual_test_name = b.actual_test_name AND a.date <= b.date AND b.build ", operator,
- args[ buildToShow ],
- " ) = ",
- 1,
- " AND a.branch='",
- args[ branchName ],
- "' AND a.actual_test_name IN (",
- tests,
- ") AND a.build ", operator,
- args[ buildToShow ],
- " ORDER BY a.actual_test_name DESC, a.date DESC",
- sep="")
-
-print( "Sending SQL command:" )
-print( command )
-
-dbResult <- dbGetQuery( 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[ isDisplayingPlan ] == "y" ){
- typeOfPieTitle <- "Test Execution"
- typeOfPieFile <- "_executed"
- isPlannedPie <- TRUE
-}
-
-title <- paste( args[ testSuiteName ],
- " Tests: Summary of ",
- typeOfPieTitle,
- "",
- " - ",
- args[ branchName ],
- buildTitle,
- sep="" )
-
-print( "Creating graph filename." )
-
-outputFile <- paste( args[ saveDirectory ],
- args[ testSuiteName ],
- "_",
- args[ branchName ],
- "_build-",
- fileBuildToShow,
- 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." )
-
-theme_set( theme_grey( base_size = 26 ) ) # set the default text size of the graph.
-
-imageWidth <- 12
-imageHeight <- 10
-imageDPI <- 200
-
-# Set other graph configurations here.
-theme <- theme( plot.title = element_text( hjust = 0.5, size = 30, face ='bold' ),
- 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",
- 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="" )
-
-title <- labs( title = title, subtitle = subtitle )
-
-# Store plot configurations as 1 variable
-fundamentalGraphData <- mainPlot +
- theme +
- title
-
-# ----------------------------
-# Generating Line Graph Format
-# ----------------------------
-
-print( "Generating line graph." )
-
-if ( isPlannedPie ){
- executedColor <- "#00A5FF" # Blue
- nonExecutedColor <- "#CCCCCC" # Gray
- pieColors <- scale_fill_manual( values = c( executedColor, nonExecutedColor ) )
-} else {
- passColor <- "#16B645" # Green
- failColor <- "#E02020" # 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
-# -----------------------
-
-print( paste( "Saving result graph to", outputFile ) )
-
-tryCatch( ggsave( outputFile,
- 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 result graph out to", outputFile ) )
-quit( status = 0 )
diff --git a/TestON/JenkinsFile/scripts/testCategoryTrend.R b/TestON/JenkinsFile/scripts/testCategoryTrend.R
deleted file mode 100644
index 33664b0..0000000
--- a/TestON/JenkinsFile/scripts/testCategoryTrend.R
+++ /dev/null
@@ -1,325 +0,0 @@
-# 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
-
-pipelineMinValue = 1000
-
-# **********************************************************
-# 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 )
-
-databaseHost <- 1
-databasePort <- 2
-databaseUserID <- 3
-databasePassword <- 4
-testSuiteName <- 5
-branchName <- 6
-testsToInclude <- 7
-buildsToShow <- 8
-saveDirectory <- 9
-
-# ----------------
-# Import Libraries
-# ----------------
-
-print( "Importing libraries." )
-library( ggplot2 )
-library( reshape2 )
-library( RPostgreSQL )
-
-# -------------------
-# Check CLI Arguments
-# -------------------
-
-print( "Verifying CLI args." )
-
-if ( is.na( args[ saveDirectory ] ) ){
-
- print( paste( "Usage: Rscript testCategoryTrend.R",
- "<database-host>",
- "<database-port>",
- "<database-user-id>",
- "<database-password>",
- "<test-suite-name>",
- "<branch-name>",
- "<tests-to-include-(as-one-string)>",
- "<builds-to-show>",
- "<directory-to-save-graphs>",
- sep=" " ) )
-
- quit( status = 1 ) # basically exit(), but in R
-}
-
-# -------------------------------
-# Create Title and Graph Filename
-# -------------------------------
-
-print( "Creating title of graph." )
-
-title <- paste( args[ testSuiteName ],
- " Test Results Trend - ",
- args[ branchName ],
- " \n Results of Last ",
- args[ buildsToShow ],
- " Nightly Builds",
- sep="" )
-
-print( "Creating graph filename." )
-
-outputFile <- paste( args[ saveDirectory ],
- args[ testSuiteName ],
- "_",
- args[ branchName ],
- "_overview.jpg",
- sep="" )
-
-# ------------------
-# SQL Initialization
-# ------------------
-
-print( "Initializing SQL" )
-
-con <- dbConnect( dbDriver( "PostgreSQL" ),
- dbname = "onostest",
- host = args[ databaseHost ],
- port = strtoi( args[ databasePort ] ),
- user = args[ databaseUserID ],
- password = args[ databasePassword ] )
-
-# ---------------------
-# Test Case SQL Command
-# ---------------------
-print( "Generating Test Case SQL command." )
-
-tests <- "'"
-for ( test in as.list( strsplit( args[ testsToInclude ], "," )[[1]] ) ){
- tests <- paste( tests, test, "','", sep="" )
-}
-tests <- substr( tests, 0, nchar( tests ) - 2 )
-
-command <- paste( "SELECT * ",
- "FROM executed_test_tests a ",
- "WHERE ( SELECT COUNT( * ) FROM executed_test_tests b ",
- "WHERE b.branch='",
- args[ branchName ],
- "' AND b.actual_test_name IN (",
- tests,
- ") AND a.actual_test_name = b.actual_test_name AND a.date <= b.date AND b.build >= ",
- pipelineMinValue,
- " ) <= ",
- args[ buildsToShow ],
- " AND a.branch='",
- args[ branchName ],
- "' AND a.actual_test_name IN (",
- tests,
- ") AND a.build >= ",
- pipelineMinValue,
- " ORDER BY a.actual_test_name DESC, a.date DESC",
- sep="")
-
-print( "Sending SQL command:" )
-print( command )
-dbResult <- dbGetQuery( con, command )
-maxBuild <- max( dbResult[ 'build' ] ) - strtoi( args[ buildsToShow ] )
-dbResult <- dbResult[ which( dbResult[,4]>maxBuild ), ]
-print( dbResult )
-
-# **********************************************************
-# 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$num_failed ),
- fill = "#ff0000",
- linetype = 0,
- alpha = 0.07 )
-
-passedColor <- geom_ribbon( aes( ymin = 0,
- ymax = dataFrame$num_passed ),
- fill = "#0083ff",
- linetype = 0,
- alpha = 0.05 )
-
-plannedColor <- geom_ribbon( aes( ymin = 0,
- ymax = dataFrame$num_planned ),
- fill = "#000000",
- linetype = 0,
- alpha = 0.01 )
-
-# Colors for the lines
-lineColors <- scale_color_manual( values=c( "#ff0000", # fail
- "#0083ff", # pass
- "#000000"),
- labels = c( "Containing Failures",
- "No Failures",
- "Total Built" ) ) # planned
-
-# ------------------------------
-# Fundamental Variables Assigned
-# ------------------------------
-
-print( "Generating fundamental graph data." )
-
-theme_set( theme_grey( base_size = 26 ) ) # set the default text size of the graph.
-
-xScaleConfig <- scale_x_continuous( breaks = dataFrame$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" )
-
-imageWidth <- 15
-imageHeight <- 10
-imageDPI <- 200
-
-# Set other graph configurations here.
-theme <- theme( plot.title = element_text( hjust = 0.5, size = 32, face ='bold' ),
- axis.text.x = element_text( angle = 0, size = 14 ),
- 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="" )
-
-title <- labs( title = title, subtitle = subtitle )
-
-# 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
-# -----------------------
-
-print( paste( "Saving result graph to", outputFile ) )
-
-tryCatch( ggsave( outputFile,
- 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 result graph out to", outputFile ) )
-quit( status = 0 )