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6445cdb950
* Use correct copyright years. Also include the start year. * Improve copyright notices. Use the proper start year instead of just 2018. Add the right owner Draios dba Sysdig. Add copyright notices to some files that were missing them.
71 lines
2.1 KiB
R
71 lines
2.1 KiB
R
#
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# Copyright (C) 2016-2018 Draios Inc dba Sysdig.
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#
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# This file is part of falco.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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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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