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add handy script to summarize multiple json files
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<?hh | ||
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newtype Sample = shape( | ||
'framework' => string, | ||
'runtime' => string, | ||
'rps' => float, | ||
); | ||
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newtype Row = shape( | ||
'framework' => string, | ||
'runtime' => string, | ||
'rps_samples' => Vector<float>, | ||
'rps_mean' => ?float, | ||
'rps_sd' => ?float, | ||
); | ||
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function load_file(string $file): Vector<Sample> { | ||
$json = file_get_contents($file); | ||
$data = json_decode($json, /* as associative array = */ true); | ||
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$results = Vector {}; | ||
foreach ($data as $framework => $framework_data) { | ||
$results->addAll(load_framework($framework, $framework_data)); | ||
} | ||
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return $results; | ||
} | ||
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function load_framework(string $framework, $data): Vector<Sample> { | ||
$results = Vector {}; | ||
foreach ($data as $runtime => $runtime_data) { | ||
$results[] = load_run($framework, $runtime, $runtime_data['Combined']); | ||
} | ||
return $results; | ||
} | ||
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function load_run(string $framework, string $runtime, $data): Sample { | ||
return shape( | ||
'framework' => $framework, | ||
'runtime' => $runtime, | ||
'rps' => $data['Siege RPS'], | ||
); | ||
} | ||
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function load_files(Vector<string> $files): Vector<Row> { | ||
$rows_by_key = Map {}; | ||
foreach ($files as $file) { | ||
$samples = load_file($file); | ||
foreach ($samples as $sample) { | ||
$key = $sample['framework']."\0".$sample['runtime']; | ||
if (!$rows_by_key->containsKey($key)) { | ||
$rows_by_key[$key] = shape( | ||
'framework' => $sample['framework'], | ||
'runtime' => $sample['runtime'], | ||
'rps_samples' => Vector { }, | ||
'rps_mean' => null, | ||
'rps_sd' => null, | ||
); | ||
} | ||
$rows_by_key[$key]['rps_samples'][] = $sample['rps']; | ||
} | ||
} | ||
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foreach ($rows_by_key as $key => $row) { | ||
$samples = $row['rps_samples']; | ||
$count = count($samples); | ||
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// toArray(): https://github.com/facebook/hhvm/issues/5454 | ||
$mean = (float) array_sum($samples->toArray()) / $count; | ||
$variance = array_sum( | ||
$samples->map($x ==> pow($mean - $x, 2))->toArray() | ||
) / $count; | ||
$sd = sqrt($variance); | ||
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$row['rps_mean'] = $mean; | ||
$row['rps_sd'] = $sd; | ||
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$rows_by_key[$key] = $row; | ||
} | ||
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return $rows_by_key->values(); | ||
} | ||
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function dump_csv(Vector<Row> $rows): void { | ||
$header = Vector { | ||
'Framework', | ||
'Runtime', | ||
'Mean RPS', | ||
'RPS Standard Deviation', | ||
}; | ||
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$max_sample_count = max($rows->map($row ==> count($row['rps_samples']))); | ||
for ($i = 1; $i <= $max_sample_count; ++$i) { | ||
$header[] = 'Sample '.$i.' RPS'; | ||
} | ||
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fputcsv(STDOUT, $header); | ||
foreach ($rows as $row) { | ||
$out = Vector { | ||
$row['framework'], | ||
$row['runtime'], | ||
$row['rps_mean'], | ||
$row['rps_sd'], | ||
}; | ||
$out->addAll($row['rps_samples']); | ||
fputcsv(STDOUT, $out); | ||
} | ||
} | ||
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function main(Vector<string> $argv) { | ||
$files = clone $argv; | ||
$files->removeKey(0); | ||
if ($files->isEmpty()) { | ||
fprintf(STDERR, "Usage: %s results.json [results2.json ...]\n", $argv[0]); | ||
exit(1); | ||
} | ||
dump_csv(load_files($files)); | ||
} | ||
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main(new Vector($argv)); |