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https://github.com/vacp2p/dst-gossipsub-test-node.git
synced 2026-01-08 21:18:01 -05:00
64 lines
2.0 KiB
Nim
64 lines
2.0 KiB
Nim
import os
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import strutils, sequtils
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import ggplotnim
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var
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time: seq[int]
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latency: seq[int]
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bandwidth: seq[int]
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for l in lines(paramStr(1)):
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if "BW:" in l:
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bandwidth.add(parseInt(l.split({' ', ':'})[^1].split(".")[0]))
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if "DUPS:" in l: continue
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if "milliseconds" notin l: continue
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let splitted = l.split({' ', ':'})
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time.add(splitted[^4].parseInt)
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latency.add(splitted[^1].parseInt)
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echo "BW: ", foldl(bandwidth, a + b, 0)
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#var
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# time = @[0, 0, 0, 5, 5, 5, 9, 9]
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# latency = @[300, 500, 600, 100, 500, 600, 800, 900]
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var df = toDf(time, latency)
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let minTime = df["time", int].min
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df = df
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.mutate(f{"time" ~ float(`time` - minTime) / 1000000000})
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.arrange("time").groupBy("time")
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.summarize(f{int: "amount" << int(size(col("latency")))},
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f{int -> int: "maxLatencies" << max(col("latency"))},
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f{int -> int: "meanLatencies" << mean(col("latency"))},
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f{int -> int: "minLatencies" << min(col("latency"))})
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let
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maxLatency = df["maxLatencies", int].max
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maxTime = df["time", float].max
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maxAmount = df["amount", int].max
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factor = float(maxLatency) / float(maxAmount)
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df = df.filter(f{`time` < maxTime - 3}).mutate(f{"scaled_amount" ~ `amount` * factor})
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df.writeCsv("/tmp/df.csv")
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echo "Average max latency: ", df["maxLatencies", int].mean
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echo "Average mean latency: ", df["meanLatencies", int].mean
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echo "Average min latency: ", df["minLatencies", int].mean
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echo "Average received count: ", df["amount", int].mean
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echo "Minimum received count: ", df["amount", int].min
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let sa = secAxis(name = "Reception count", trans = f{1.0 / factor})
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ggplot(df, aes("time", "maxLatencies")) +
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geom_line(aes("time", y = "scaled_amount", color = "Amount")) +
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ylim(0, maxLatency) +
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ggtitle(paramStr(2)) +
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legendPosition(0.8, -0.2) +
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scale_y_continuous(name = "Latency (ms)", secAxis = sa) +
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geom_line(aes("time", y = "maxLatencies", color = "Max")) +
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geom_line(aes("time", y = "meanLatencies", color = "Mean")) +
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geom_line(aes("time", y = "minLatencies", color = "Min")) +
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ggsave("test.svg", width = 640.0 * 2, height = 480 * 1.5)
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