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322 lines
10 KiB
V
322 lines
10 KiB
V
module main
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import os
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import flag
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import time
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import term
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import math
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import scripting
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import v.util
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struct CmdResult {
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mut:
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runs int
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cmd string
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icmd int
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outputs []string
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oms map[string][]int
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summary map[string]Aints
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timings []int
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atiming Aints
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}
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struct Context {
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mut:
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count int
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series int
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warmup int
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show_help bool
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show_output bool
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use_newline bool // use \n instead of \r, so the last line is not overwritten
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fail_on_regress_percent int
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fail_on_maxtime int // in ms
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verbose bool
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commands []string
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results []CmdResult
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cmd_template string // {T} will be substituted with the current command
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cmd_params map[string][]string
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cline string // a terminal clearing line
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cgoback string
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nmins int // number of minimums to discard
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nmaxs int // number of maximums to discard
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}
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struct Aints {
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values []int
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mut:
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imin int
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imax int
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average f64
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stddev f64
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nmins int // number of discarded fastest results
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nmaxs int // number of discarded slowest results
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}
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fn new_aints(ovals []int, extreme_mins int, extreme_maxs int) Aints {
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mut res := Aints{
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values: ovals // remember the original values
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nmins: extreme_mins
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nmaxs: extreme_maxs
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}
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mut sum := i64(0)
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mut imin := math.max_i32
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mut imax := -math.max_i32
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// discard the extremes:
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mut vals := ovals.clone()
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vals.sort()
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if vals.len > extreme_mins + extreme_maxs {
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vals = vals[extreme_mins..vals.len - extreme_maxs]
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} else {
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vals = []
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}
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// statistical processing of the remaining values:
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for i in vals {
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sum += i
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if i < imin {
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imin = i
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}
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if i > imax {
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imax = i
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}
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}
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res.imin = imin
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res.imax = imax
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if vals.len > 0 {
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res.average = sum / f64(vals.len)
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}
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//
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mut devsum := f64(0.0)
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for i in vals {
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x := f64(i) - res.average
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devsum += (x * x)
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}
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res.stddev = math.sqrt(devsum / f64(vals.len))
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// eprintln('\novals: $ovals\n vals: $vals\n vals.len: $vals.len | res.imin: $res.imin | res.imax: $res.imax | res.average: $res.average | res.stddev: $res.stddev')
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return res
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}
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fn (a Aints) str() string {
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return util.bold('${a.average:6.2f}') +
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'ms ± σ: ${a.stddev:4.1f}ms, min: ${a.imin:4}ms, max: ${a.imax:4}ms, runs:${a.values.len:3}, nmins:${a.nmins:2}, nmaxs:${a.nmaxs:2}'
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}
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const (
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max_fail_percent = 100 * 1000
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max_time = 60 * 1000 // ms
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performance_regression_label = 'Performance regression detected, failing since '
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)
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fn main() {
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mut context := Context{}
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context.parse_options()
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context.run()
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context.show_diff_summary()
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}
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fn (mut context Context) parse_options() {
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mut fp := flag.new_flag_parser(os.args)
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fp.application(os.file_name(os.executable()))
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fp.version('0.0.1')
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fp.description('Repeat command(s) and collect statistics. NB: you have to quote each command, if it contains spaces.')
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fp.arguments_description('CMD1 CMD2 ...')
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fp.skip_executable()
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fp.limit_free_args_to_at_least(1)
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context.count = fp.int('count', `c`, 10, 'Repetition count.')
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context.series = fp.int('series', `s`, 2, 'Series count. `-s 2 -c 4 a b` => aaaabbbbaaaabbbb, while `-s 3 -c 2 a b` => aabbaabbaabb.')
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context.warmup = fp.int('warmup', `w`, 2, 'Warmup runs. These are done *only at the start*, and are ignored.')
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context.show_help = fp.bool('help', `h`, false, 'Show this help screen.')
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context.use_newline = fp.bool('newline', `n`, false, 'Use \\n, do not overwrite the last line. Produces more output, but easier to diagnose.')
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context.show_output = fp.bool('output', `O`, false, 'Show command stdout/stderr in the progress indicator for each command. NB: slower, for verbose commands.')
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context.verbose = fp.bool('verbose', `v`, false, 'Be more verbose.')
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context.fail_on_maxtime = fp.int('max_time', `m`, max_time, 'Fail with exit code 2, when first cmd takes above M milliseconds (regression).')
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context.fail_on_regress_percent = fp.int('fail_percent', `f`, max_fail_percent, 'Fail with exit code 3, when first cmd is X% slower than the rest (regression).')
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context.cmd_template = fp.string('template', `t`, '{T}', 'Command template. {T} will be substituted with the current command.')
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cmd_params := fp.string_multi('parameter', `p`, 'A parameter substitution list. `{p}=val1,val2,val2` means that {p} in the template, will be substituted with each of val1, val2, val3.')
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context.nmins = fp.int('nmins', `i`, 0, 'Ignore the BOTTOM X results (minimum execution time). Makes the results more robust to performance flukes.')
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context.nmaxs = fp.int('nmaxs', `a`, 1, 'Ignore the TOP X results (maximum execution time). Makes the results more robust to performance flukes.')
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for p in cmd_params {
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parts := p.split(':')
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if parts.len > 1 {
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context.cmd_params[parts[0]] = parts[1].split(',')
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}
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}
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if context.show_help {
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println(fp.usage())
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exit(0)
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}
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if context.verbose {
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scripting.set_verbose(true)
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}
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commands := fp.finalize() or {
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eprintln('Error: ' + err)
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exit(1)
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}
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context.commands = context.expand_all_commands(commands)
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context.results = []CmdResult{len: context.commands.len, init: CmdResult{}}
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if context.use_newline {
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context.cline = '\n'
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context.cgoback = '\n'
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} else {
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context.cline = '\r' + term.h_divider('')
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context.cgoback = '\r'
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}
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}
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fn (mut context Context) clear_line() {
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print(context.cline)
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}
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fn (mut context Context) expand_all_commands(commands []string) []string {
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mut all_commands := []string{}
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for cmd in commands {
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maincmd := context.cmd_template.replace('{T}', cmd)
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mut substituted_commands := [maincmd]
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for paramk, paramlist in context.cmd_params {
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for paramv in paramlist {
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mut new_substituted_commands := []string{}
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for cscmd in substituted_commands {
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scmd := cscmd.replace(paramk, paramv)
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new_substituted_commands << scmd
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}
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substituted_commands << new_substituted_commands
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}
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}
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all_commands << substituted_commands
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}
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mut unique := map[string]int{}
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for x in all_commands {
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if x.contains('{') && x.contains('}') {
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continue
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}
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unique[x] = 1
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}
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return unique.keys()
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}
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fn (mut context Context) run() {
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mut run_warmups := 0
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for si in 1 .. context.series + 1 {
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for icmd, cmd in context.commands {
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mut runs := 0
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mut duration := 0
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mut sum := 0
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mut oldres := ''
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println('Series: ${si:4}/${context.series:-4}, command: $cmd')
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if context.warmup > 0 && run_warmups < context.commands.len {
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for i in 1 .. context.warmup + 1 {
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print('${context.cgoback}warming up run: ${i:4}/${context.warmup:-4} for ${cmd:-50s} took ${duration:6} ms ...')
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mut sw := time.new_stopwatch({})
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os.exec(cmd) or { continue }
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duration = int(sw.elapsed().milliseconds())
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}
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run_warmups++
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}
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context.clear_line()
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for i in 1 .. (context.count + 1) {
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avg := f64(sum) / f64(i)
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print('${context.cgoback}Average: ${avg:9.3f}ms | run: ${i:4}/${context.count:-4} | took ${duration:6} ms')
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if context.show_output {
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print(' | result: ${oldres:s}')
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}
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mut sw := time.new_stopwatch({})
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res := scripting.exec(cmd) or { continue }
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duration = int(sw.elapsed().milliseconds())
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if res.exit_code != 0 {
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eprintln('${i:10} non 0 exit code for cmd: $cmd')
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continue
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}
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context.results[icmd].outputs <<
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res.output.trim_right('\r\n').replace('\r\n', '\n').split('\n')
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context.results[icmd].timings << duration
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sum += duration
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runs++
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oldres = res.output.replace('\n', ' ')
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}
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context.results[icmd].cmd = cmd
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context.results[icmd].icmd = icmd
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context.results[icmd].runs += runs
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context.results[icmd].atiming = new_aints(context.results[icmd].timings, context.nmins,
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context.nmaxs)
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context.clear_line()
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print(context.cgoback)
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mut m := map[string][]int{}
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for o in context.results[icmd].outputs {
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x := o.split(':')
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if x.len > 1 {
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k := x[0]
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v := x[1].trim_left(' ').int()
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m[k] << v
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}
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}
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mut summary := map[string]Aints{}
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for k, v in m {
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// show a temporary summary for the current series/cmd cycle
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s := new_aints(v, context.nmins, context.nmaxs)
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println(' $k: $s')
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summary[k] = s
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}
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// merge current raw results to the previous ones
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old_oms := context.results[icmd].oms
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mut new_oms := map[string][]int{}
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for k, v in m {
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if old_oms[k].len == 0 {
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new_oms[k] = v
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} else {
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new_oms[k] << old_oms[k]
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new_oms[k] << v
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}
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}
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context.results[icmd].oms = new_oms
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// println('')
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}
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}
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// create full summaries, taking account of all runs
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for icmd in 0 .. context.results.len {
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mut new_full_summary := map[string]Aints{}
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for k, v in context.results[icmd].oms {
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new_full_summary[k] = new_aints(v, context.nmins, context.nmaxs)
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}
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context.results[icmd].summary = new_full_summary
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}
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}
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fn (mut context Context) show_diff_summary() {
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context.results.sort_with_compare(fn (a &CmdResult, b &CmdResult) int {
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if a.atiming.average < b.atiming.average {
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return -1
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}
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if a.atiming.average > b.atiming.average {
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return 1
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}
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return 0
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})
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println('Summary (commands are ordered by ascending mean time), after $context.series series of $context.count repetitions:')
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base := context.results[0].atiming.average
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mut first_cmd_percentage := f64(100.0)
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for i, r in context.results {
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cpercent := (r.atiming.average / base) * 100 - 100
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first_marker := if r.icmd == 0 { util.bold('>') } else { ' ' }
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if r.icmd == 0 {
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first_cmd_percentage = cpercent
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}
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println(' $first_marker${(i + 1):3} | ${cpercent:5.1f}% slower | ${r.cmd:-57s} | $r.atiming')
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}
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$if debugcontext ? {
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println('context: $context')
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}
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if int(base) > context.fail_on_maxtime {
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print(performance_regression_label)
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println('average time: ${base:6.1f} ms > $context.fail_on_maxtime ms threshold.')
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exit(2)
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}
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if context.fail_on_regress_percent == max_fail_percent || context.results.len < 2 {
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return
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}
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fail_threshold_max := f64(context.fail_on_regress_percent)
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if first_cmd_percentage > fail_threshold_max {
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print(performance_regression_label)
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println('${first_cmd_percentage:5.1f}% > ${fail_threshold_max:5.1f}% threshold.')
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exit(3)
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}
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}
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