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# vim: tabstop=8 expandtab shiftwidth=4 softtabstop=4
from dataclasses import dataclass
import os
import platform
import subprocess
from time import monotonic
from typing import Dict
from typing import List
from typing import Set
@dataclass(frozen=True)
class Metric:
axis: str
cumulative: bool
metrics = {
"peak_nonpaged_pool": Metric("x1y1", False),
"nonpaged_pool": Metric("x1y1", False),
"num_page_faults": Metric("x1y2", True),
"paged_pool": Metric("x1y1", False),
"peak_paged_pool": Metric("x1y1", False),
"peak_pagefile": Metric("x1y1", False),
"peak_wset": Metric("x1y1", False),
"private": Metric("x1y1", False),
"rss": Metric("x1y1", False),
"uss": Metric("x1y1", False),
"data": Metric("x1y1", False),
"shared": Metric("x1y1", False),
"text": Metric("x1y1", False),
"dirty": Metric("x1y1", False),
"lib": Metric("x1y1", False),
"vms": Metric("x1y1", False),
"other_bytes": Metric("x1y1", True),
"other_count": Metric("x1y2", True),
"read_bytes": Metric("x1y1", True),
"read_chars": Metric("x1y1", True),
"read_count": Metric("x1y2", True),
"write_bytes": Metric("x1y1", True),
"write_chars": Metric("x1y1", True),
"write_count": Metric("x1y2", True),
"pfaults": Metric("x1y2", True),
"pageins": Metric("x1y2", True),
"minor_faults": Metric("x1y2", True),
"major_faults": Metric("x1y2", True),
"pss": Metric("x1y1", False),
"pss_anon": Metric("x1y1", False),
"pss_file": Metric("x1y1", False),
"pss_shmem": Metric("x1y1", False),
"shared_clean": Metric("x1y1", False),
"shared_dirty": Metric("x1y1", False),
"private_clean": Metric("x1y1", False),
"private_dirty": Metric("x1y1", False),
"referenced": Metric("x1y1", False),
"anonymous": Metric("x1y1", False),
"lazyfree": Metric("x1y1", False),
"anonhugepages": Metric("x1y1", False),
"shmempmdmapped": Metric("x1y1", False),
"filepmdmapped": Metric("x1y1", False),
"shared_hugetlb": Metric("x1y1", False),
"private_hugetlb": Metric("x1y1", False),
"swap": Metric("x1y1", False),
"swappss": Metric("x1y1", False),
"locked": Metric("x1y1", False),
}
@dataclass(frozen=True)
class Plot:
name: str
title: str
ylabel: str
y2label: str
lines: List[str]
plots = [
Plot(
"memory",
"libtorrent memory usage",
"Memory Size",
"",
[
"pss",
"pss_file",
"pss_anon",
"rss",
"dirty",
"private_dirty",
"private_clean",
"lazyfree",
"anonymous",
"vms",
"private",
"paged_pool",
],
),
Plot(
"vm",
"libtorrent vm stats",
"",
"count",
[
"pfaults",
"pageins",
"num_page_faults",
"major_faults",
"minor_faults",
],
),
Plot(
"io",
"libtorrent disk I/O",
"Size",
"count",
[
"other_bytes",
"other_count",
"read_bytes",
"read_chars",
"read_count",
"write_bytes",
"write_chars",
"write_count",
],
),
]
if platform.system() == "Linux":
def capture_sample(
pid: int, start_time: int, output: Dict[str, List[float]]
) -> None:
try:
with open(f"/proc/{pid}/smaps_rollup") as f:
sample = f.read()
with open(f"/proc/{pid}/stat") as f:
sample2 = f.read()
timestamp = monotonic() - start_time
except Exception:
return
if "time" not in output:
time_delta = timestamp - start_time
output["time"] = [timestamp]
else:
time_delta = timestamp - output["time"][-1]
output["time"].append(timestamp)
for line in sample.split("\n"):
if "[rollup]" in line:
continue
if line.strip() == "":
continue
key, value = line.split(":")
val = int(value.split()[0].strip())
key = key.strip().lower()
if key not in output:
output[key] = [val * 1024]
else:
output[key].append(val * 1024)
stats = sample2.split()
def add_counter(key: str, val: float) -> None:
m = metrics[key]
if key not in output:
if m.cumulative:
output[key + "-raw"] = [val]
val = val / time_delta
output[key] = [val]
else:
if m.cumulative:
raw_val = val
val = (val - output[key + "-raw"][-1]) / time_delta
output[key + "-raw"].append(raw_val)
output[key].append(val)
add_counter("minor_faults", float(stats[9]))
add_counter("major_faults", float(stats[11]))
# example output:
# 8affffff000-7fffba926000 ---p 00000000 00:00 0 [rollup]
# Rss: 76932 kB
# Pss: 17508 kB
# Pss_Anon: 11376 kB
# Pss_File: 6101 kB
# Pss_Shmem: 30 kB
# Shared_Clean: 65380 kB
# Shared_Dirty: 88 kB
# Private_Clean: 80 kB
# Private_Dirty: 11384 kB
# Referenced: 76932 kB
# Anonymous: 11376 kB
# LazyFree: 0 kB
# AnonHugePages: 0 kB
# ShmemPmdMapped: 0 kB
# FilePmdMapped: 0 kB
# Shared_Hugetlb: 0 kB
# Private_Hugetlb: 0 kB
# Swap: 0 kB
# SwapPss: 0 kB
# Locked: 0 kB
else:
import psutil
def capture_sample(
pid: int, start_time: int, output: Dict[str, List[float]]
) -> None:
try:
p = psutil.Process(pid)
mem = p.memory_full_info()
io_cnt = p.io_counters()
timestamp = monotonic() - start_time
except Exception:
return
if "time" not in output:
time_delta = timestamp - start_time
output["time"] = [timestamp]
else:
time_delta = timestamp - output["time"][-1]
output["time"].append(timestamp)
for key in dir(mem):
if key not in metrics:
if not key.startswith("_") and key not in [
"pagefile",
"wset",
"count",
"index",
]:
print(f"missing key: {key}")
continue
val = getattr(mem, key)
m = metrics[key]
if key not in output:
if m.cumulative:
output[key + "-raw"] = [val]
val = val / time_delta
output[key] = [val]
else:
if m.cumulative:
raw_val = val
val = (val - output[key + "-raw"][-1]) / time_delta
output[key + "-raw"].append(raw_val)
output[key].append(val)
for key in dir(io_cnt):
if key not in metrics:
if not key.startswith("_") and key not in [
"pagefile",
"wset",
"count",
"index",
]:
print(f"missing key: {key}")
continue
m = metrics[key]
if key not in output:
if m.cumulative:
output[key + "-raw"] = [val]
val = val / time_delta
output[key] = [val]
else:
if m.cumulative:
raw_val = val
val = (val - output[key + "-raw"][-1]) / time_delta
output[key + "-raw"].append(raw_val)
output[key].append(val)
def print_output_to_file(out: Dict[str, List[int]], filename: str) -> List[str]:
if out == {}:
return []
with open(filename, "w+") as stats_output:
non_zero_keys: Set[str] = set()
non_zero_keys.add("time")
keys = out.keys()
for key in keys:
stats_output.write(f"{key} ")
stats_output.write("\n")
idx = 0
while len(out["time"]) > idx:
for key in keys:
stats_output.write(f"{out[key][idx]:f} ")
if out[key][idx] != 0:
non_zero_keys.add(key)
stats_output.write("\n")
idx += 1
return [k if k in non_zero_keys else "" for k in keys]
def plot_output(filename: str, keys: List[str]) -> None:
if "time" not in keys:
return
output_dir, in_file = os.path.split(filename)
gnuplot_file = f"{output_dir}/plot_{in_file}.gnuplot"
with open(gnuplot_file, "w+") as f:
f.write(
"""set term png size 1200,700
set format y '%.0f'
set xlabel "time (s)"
set xrange [0:*]
set yrange [2:*]
set y2range [0:*]
set logscale y 2
set logscale y2 2
set grid
"""
)
for plot in plots:
f.write(
f"""set output "{in_file}-{plot.name}.png"
set title "{plot.title}"
set ylabel "{plot.ylabel} (MB)"
set y2label "{plot.y2label}"
{"set y2tics" if plot.y2label != "" else ""}
"""
)
plot_string = "plot "
tidx = keys.index("time") + 1
idx = 0
for p in keys:
idx += 1
if p == "time" or p == "":
continue
if p not in plot.lines:
continue
m = metrics[p]
title = p.replace("_", "\\\\_")
if m.cumulative:
title += "/s"
divider = 1
if m.axis == "x1y1":
divider = 1024 * 1024
# escape underscores, since gnuplot interprets those as markup
plot_string += (
f'"{in_file}" using {tidx}:(${idx}/{divider}) '
+ f'title "{title}" axis {m.axis} with steps, \\\n'
)
if len(plot_string) > 5:
plot_string = plot_string[0:-4] + "\n\n"
f.write(plot_string)
subprocess.check_output(["gnuplot", os.path.split(gnuplot_file)[1]], cwd=output_dir)
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