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2a2dcaf25d
New argument --metric, which can be cpu|drops, controls whether to graph cpu usage or event drop percentage. Titles/axis labels/etc. change appropriately.
53 lines
1.4 KiB
R
53 lines
1.4 KiB
R
require(jsonlite)
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library(ggplot2)
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library(GetoptLong)
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initial.options <- commandArgs(trailingOnly = FALSE)
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file.arg.name <- "--file="
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script.name <- sub(file.arg.name, "", initial.options[grep(file.arg.name, initial.options)])
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script.basename <- dirname(script.name)
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if (substr(script.basename, 1, 1) != '/') {
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script.basename = paste(getwd(), script.basename, sep='/')
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}
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results = paste(script.basename, "results.json", sep='/')
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output = "./output.png"
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metric = "cpu"
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GetoptLong(
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"results=s", "Path to results file",
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"benchmark=s", "Benchmark from results file to graph",
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"variant=s@", "Variant(s) to include in graph. Can be specified multiple times",
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"output=s", "Output graph file",
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"metric=s", "Metric to graph. Can be one of (cpu|drops)"
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)
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if (metric == "cpu") {
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data_metric="cpu_usage"
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yaxis_label="CPU Usage (%)"
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title="Falco/Sysdig/Multimatch CPU Usage: %s"
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} else if (metric == "drops") {
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data_metric="drop_pct"
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yaxis_label="Event Drops (%)"
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title="Falco/Sysdig/Multimatch Event Drops: %s"
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}
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res <- fromJSON(results, flatten=TRUE)
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res2 = res[res$benchmark == benchmark & res$variant %in% variant,]
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plot <- ggplot(data=res2, aes(x=sample, y=get(data_metric), group=variant, colour=variant)) +
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geom_line() +
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ylab(yaxis_label) +
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xlab("Time") +
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ggtitle(sprintf(title, benchmark))
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theme(legend.position=c(.2, .88));
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print(paste("Writing graph to", output, sep=" "))
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ggsave(file=output)
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