Add extra table about node information into PDF report.

Signed-off-by: Morales Quispe, Marcela <marcela.morales.quispe@intel.com>
This commit is contained in:
Morales Quispe, Marcela
2019-10-15 22:27:38 -05:00
committed by David Lyle
parent 9c01cbfacb
commit f2e89413ad
2 changed files with 105 additions and 0 deletions
@@ -60,3 +60,13 @@ in the test results files.
```{r dut, echo=FALSE, fig.cap="System configuration details"}
source('dut-details.R')
```
\pagebreak
# Test setup node details
This table describes node details within the Kubernetes cluster that have been used for test.
```{r node, echo=FALSE, fig.cap="Node information within Kubernetes cluster"}
source('node-info.R')
```
+95
View File
@@ -0,0 +1,95 @@
#!/usr/bin/env Rscript
# Copyright (c) 2019 Intel Corporation
#
# SPDX-License-Identifier: Apache-2.0
# Display details for the 'Nodes within Kubernetes cluster'.
suppressMessages(suppressWarnings(library(tidyr))) # for gather().
library(tibble)
suppressMessages(suppressWarnings(library(plyr))) # rbind.fill
# So we can plot multiple graphs
library(gridExtra) # together.
suppressMessages(suppressWarnings(library(ggpubr))) # for ggtexttable.
suppressMessages(library(jsonlite)) # to load the data.
# A list of all the known results files we might find the information inside.
resultsfiles=c(
"k8s-scaling.json"
)
stats=c()
stats_names=c()
max_char_name_node=18
# list for each dirstats
dirstats_list=list()
j=1
# For each set of results
for (currentdir in resultdirs) {
dirstats=c()
for (resultsfile in resultsfiles) {
fname=paste(inputdir, currentdir, resultsfile, sep="/")
if ( !file.exists(fname)) {
next
}
# Derive the name from the test result dirname
datasetname=basename(currentdir)
# Import the data
fdata=fromJSON(fname)
if (length(fdata$'kubectl-version') != 0 ) {
numnodes= nrow(fdata$'kubectl-get-nodes'$items)
for (i in 1:numnodes) {
node_i=fdata$'kubectl-get-nodes'$items[i,]
node_info=fdata$'socketsPerNode'[i,]
# Substring node name so it fits properly into final table
node_name=node_i$metadata$name
if ( nchar(node_name) >= max_char_name_node) {
dirstats=tibble("Node \nname"=as.character(substring(node_name, 1, max_char_name_node)))
} else {
dirstats=tibble("Node \nname"=as.character(node_name))
}
dirstats=cbind(dirstats, "CPUs"=as.character(node_i$status$capacity$cpu))
dirstats=cbind(dirstats, "Memory"=as.character(node_i$status$capacity$memory))
dirstats=cbind(dirstats, "Max \nPods"=as.character(node_i$status$capacity$pods))
dirstats=cbind(dirstats, "Count \nsockets"=as.character(node_info$num_sockets))
dirstats=cbind(dirstats, "Have \nhypervisor"=as.character(node_info$hypervisor))
dirstats=cbind(dirstats, "kernel"=as.character(node_i$status$nodeInfo$kernelVersion))
dirstats=cbind(dirstats, "OS"=as.character(node_i$status$nodeInfo$osImage))
dirstats=cbind(dirstats, "Test"=as.character(datasetname))
dirstats_list[[j]]=dirstats
j=j+1
}
complete_data = do.call(rbind, dirstats_list)
}
}
if ( length(complete_data) == 0 ) {
warning(paste("No valid data found for directory ", currentdir))
}
# use plyr rbind.fill so we can combine disparate version info frames
stats=rbind.fill(stats, complete_data)
stats_names=rbind(stats_names, datasetname)
}
# Build us a text table of numerical results
# Set up as left hand justify, so the node data indent renders.
tablefontsize=8
tbody.style = tbody_style(hjust=0, x=0.1, size=tablefontsize)
stats_plot = suppressWarnings(ggtexttable(data.frame(complete_data, check.names=FALSE),
theme=ttheme(base_size=tablefontsize, tbody.style=tbody.style),
rows=NULL))
# It may seem odd doing a grid of 1x1, but it should ensure we get a uniform format and
# layout to match the other charts and tables in the report.
master_plot = grid.arrange(stats_plot,
nrow=1,
ncol=1 )