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vim-profiler.py
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vim-profiler.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# vim-profiler - Utility script to profile (n)vim (e.g. startup)
# Copyright © 2015 Benjamin Chrétien
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
from __future__ import print_function
import os
import sys
import subprocess
import re
import csv
import operator
import argparse
import collections
def to_list(cmd):
if not isinstance(cmd, (list, tuple)):
cmd = cmd.split(' ')
return cmd
def get_exe(cmd):
# FIXME: this assumes that the first word is the executable
return to_list(cmd)[0]
def is_subdir(paths, subdir):
# See: http://stackoverflow.com/a/18115684/1043187
for path in paths:
path = os.path.realpath(path)
subdir = os.path.realpath(subdir)
reldir = os.path.relpath(subdir, path)
if not (reldir == os.pardir or reldir.startswith(os.pardir + os.sep)):
return True
return False
def stdev(arr):
"""
Compute the standard deviation.
"""
if sys.version_info >= (3, 0):
import statistics
return statistics.pstdev(arr)
else:
# Dependency on NumPy
try:
import numpy
return numpy.std(arr, axis=0)
except ImportError:
return 0.
class StartupData(object):
"""
Data for (n)vim startup (timings etc.).
"""
def __init__(self, cmd, log_filename, check_system=False):
super(StartupData, self).__init__()
self.cmd = cmd
self.log_filename = log_filename
self.times = dict()
self.system_dirs = ["/usr", "/usr/local"]
self.generate(check_system)
def generate(self, check_system=False):
"""
Generate startup data.
"""
self.__run_vim()
try:
self.__load_times(check_system)
except RuntimeError:
print("\nNo plugin found. Exiting.")
sys.exit()
if not self.times:
sys.exit()
def __guess_plugin_dir(self, log_txt):
"""
Try to guess the vim directory containing plugins.
"""
candidates = list()
# Get common plugin dir if any
vim_subdirs = "autoload|ftdetect|plugin|syntax"
matches = re.findall("^\d+.\d+\s+\d+.\d+\s+\d+.\d+: "
"sourcing (.+?)/(?:[^/]+/)(?:%s)/[^/]+"
% vim_subdirs, log_txt, re.MULTILINE)
for plugin_dir in matches:
# Ignore system plugins
if not is_subdir(self.system_dirs, plugin_dir):
candidates.append(plugin_dir)
if candidates:
# FIXME: the directory containing vimrc could be returned as well
return collections.Counter(candidates).most_common(1)[0][0]
else:
raise RuntimeError("no user plugin found")
def __load_times(self, check_system=False):
"""
Load startup times for log file.
"""
# Load log file and process it
print("Loading and processing logs...", end="")
with open(self.log_filename, 'r') as log:
log_txt = log.read()
plugin_dir = ""
# Try to guess the folder based on the logs themselves
try:
plugin_dir = self.__guess_plugin_dir(log_txt)
matches = re.findall("^\d+.\d+\s+\d+.\d+\s+(\d+.\d+): "
"sourcing %s/([^/]+)/" % plugin_dir,
log_txt, re.MULTILINE)
for res in matches:
time = res[0]
plugin = res[1]
if plugin in self.times:
self.times[plugin] += float(time)
else:
self.times[plugin] = float(time)
# Catch exception if no plugin was found
except RuntimeError as e:
if not check_system:
raise
else:
plugin_dir = ""
if check_system:
for d in self.system_dirs:
matches = re.findall("^\d+.\d+\s+\d+.\d+\s+(\d+.\d+): "
"sourcing %s/.+/([^/]+.vim)\n" % d,
log_txt, re.MULTILINE)
for res in matches:
time = res[0]
plugin = "*%s" % res[1]
if plugin in self.times:
self.times[plugin] += float(time)
else:
self.times[plugin] = float(time)
print(" done.")
if plugin_dir:
print("Plugin directory: %s" % plugin_dir)
else:
print("No user plugin found.")
if not self.times:
print("No system plugin found.")
def __run_vim(self):
"""
Run vim/nvim to generate startup logs.
"""
print("Running %s to generate startup logs..." % get_exe(self.cmd),
end="")
self.__clean_log()
full_cmd = to_list(self.cmd) + ["--startuptime", self.log_filename,
"-f", "-c", "q"]
subprocess.call(full_cmd, shell=False)
print(" done.")
def __clean_log(self):
"""
Clean log file.
"""
if os.path.isfile(self.log_filename):
os.remove(self.log_filename)
def __del__(self):
"""
Destructor taking care of clean up.
"""
self.__clean_log()
class StartupAnalyzer(object):
"""
Analyze startup times for (n)vim.
"""
def __init__(self, param):
super(StartupAnalyzer, self).__init__()
self.runs = param.runs
self.cmd = param.cmd
self.raw_data = [StartupData(self.cmd, "vim_%i.log" % (i+1),
check_system=param.check_system)
for i in range(self.runs)]
self.data = self.process_data()
def process_data(self):
"""
Merge startup times for each plugin.
"""
return {k: [d.times[k] for d in self.raw_data]
for k in self.raw_data[0].times.keys()}
def average_data(self):
"""
Return average times for each plugin.
"""
return {k: sum(v)/len(v) for k, v in self.data.items()}
def stdev_data(self):
"""
Return standard deviation for each plugin.
"""
return {k: stdev(v) for k, v in self.data.items()}
def plot(self):
"""
Plot startup data.
"""
import pylab
print("Plotting result...", end="")
avg_data = self.average_data()
avg_data = self.__sort_data(avg_data, False)
if len(self.raw_data) > 1:
err = self.stdev_data()
sorted_err = [err[k] for k in list(zip(*avg_data))[0]]
else:
sorted_err = None
pylab.barh(range(len(avg_data)), list(zip(*avg_data))[1],
xerr=sorted_err, align='center', alpha=0.4)
pylab.yticks(range(len(avg_data)), list(zip(*avg_data))[0])
pylab.xlabel("Average startup time (ms)")
pylab.ylabel("Plugins")
pylab.show()
print(" done.")
def export(self, output_filename="result.csv"):
"""
Write sorted result to file.
"""
assert len(self.data) > 0
print("Writing result to %s..." % output_filename, end="")
with open(output_filename, 'w') as fp:
writer = csv.writer(fp, delimiter='\t')
# Compute average times
avg_data = self.average_data()
# Sort by average time
for name, avg_time in self.__sort_data(avg_data):
writer.writerow(["%.3f" % avg_time, name])
print(" done.")
def print_summary(self, n):
"""
Print summary of startup times for plugins.
"""
title = "Top %i plugins slowing %s's startup" % (n, get_exe(self.cmd))
length = len(title)
print(''.center(length, '='))
print(title)
print(''.center(length, '='))
# Compute average times
avg_data = self.average_data()
# Sort by average time
rank = 0
for name, time in self.__sort_data(avg_data)[:n]:
rank += 1
print("%i\t%7.3f %s" % (rank, time, name))
print(''.center(length, '='))
@staticmethod
def __sort_data(d, reverse=True):
"""
Sort data by decreasing time.
"""
return sorted(d.items(), key=operator.itemgetter(1), reverse=reverse)
def main():
parser = argparse.ArgumentParser(
description='Analyze startup times of vim/neovim plugins.')
parser.add_argument("-o", dest="csv", type=str,
help="Export result to a csv file")
parser.add_argument("-p", dest="plot", action='store_true',
help="Plot result as a bar chart")
parser.add_argument("-s", dest="check_system", action='store_true',
help="Consider system plugins as well (marked with *)")
parser.add_argument("-n", dest="n", type=int, default=10,
help="Number of plugins to list in the summary")
parser.add_argument("-r", dest="runs", type=int, default=1,
help="Number of runs (for average/standard deviation)")
parser.add_argument(dest="cmd", nargs=argparse.REMAINDER, type=str,
help="vim/neovim executable or command")
# Parse CLI arguments
args = parser.parse_args()
output_filename = args.csv
n = args.n
# Command (default = vim)
if args.cmd == []:
args.cmd = "vim"
# Run analysis
analyzer = StartupAnalyzer(args)
if n > 0:
analyzer.print_summary(n)
if output_filename is not None:
analyzer.export(output_filename)
if args.plot:
analyzer.plot()
if __name__ == "__main__":
main()