DRY
This commit is contained in:
askiiart
parent
4e20db145e
commit
45a783ae65
GPG key ID:
EA85979611654C30
3 changed files with 37 additions and 488 deletions
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@ -2,19 +2,19 @@ labels = ['Null 25 GiB file', 'Random 25 GiB file', '100 million-sided polygon d
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data = [
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{
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label: 'DwarFS',
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data: [351.30788, 3513.96, 480.97789, 0.882576, 0.000811, 0.000661],
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data: [0.35130788, 3.51396, 0.48097789, 0.0008825759999999999, 1.333e-06, 1.242e-06],
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backgroundColor: 'rgb(255, 99, 132)',
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},
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{
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label: 'fuse-archive (tar)',
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data: [0.0, 0.0, 0.0, 0.0, 0.000652, 0.000772],
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data: [0.0, 0.0, 0.0, 0.0, 1.4119999999999998e-06, 2.144e-06],
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backgroundColor: 'rgb(75, 192, 192)',
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},
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{
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label: 'Btrfs',
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data: [5.51523, 91.13626, 94.05722, 0.949771, 0.000741, 0.0007509999999999999],
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data: [0.00551523, 0.09113626, 0.09405722, 0.0009497709999999999, 9.82e-07, 1.242e-06],
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backgroundColor: 'rgb(54, 162, 235)',
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},
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@ -30,7 +30,7 @@ data = [
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plugins: {
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title: {
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display: true,
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text: 'Random Read Latency - in ms'
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text: 'Random Read Latency - in s'
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},
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},
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responsive: true,
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@ -50,334 +50,29 @@ class HelperFunctions:
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time = re.sub('[^0-9\\.]', '', time)
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return float(time)
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def get_seq_latency_data() -> tuple:
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def get_data(single_files_index: int, bulk_test_name: str):
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# format: { 'labels': ['btrfs'], 'btrfs': [9, 8, 4, 6]}
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datasets = {'labels': []}
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data = {'labels': []}
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with open('assets/benchmarking-dwarfs/data/benchmark-data.csv', 'rt') as f:
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for line in csv.reader(f):
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fs = HelperFunctions.get_fs(line[0])
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label = HelperFunctions.get_label(line[1])
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datasets['labels'].append(label) if label not in datasets[
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data['labels'].append(label) if label not in data[
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'labels'
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] else False
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try:
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datasets[fs].append(line[4])
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data[fs].append(line[single_files_index])
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except KeyError:
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datasets[fs] = []
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datasets[fs].append(line[4])
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# NOTE: this will break if the bulk data contains a larger unit than the single file data, but that's unlikely to happen so I'm not gonna deal with it
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largest_time_unit = 'ns'
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for key in datasets.keys():
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if key == 'labels':
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continue
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for item in datasets[key]:
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if largest_time_unit == 's':
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break
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if item.endswith('ms'):
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largest_time_unit = 'ms'
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elif item.endswith('µs') and largest_time_unit != 'ms':
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largest_time_unit = 'µs'
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elif (
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item.endswith('ns')
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and largest_time_unit != 'ms'
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and largest_time_unit != 'µs'
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):
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largest_time_unit = 'ns'
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elif re.sub('[0-9]\\.', '', item) == 's':
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largest_time_unit = 's'
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break
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for key in datasets.keys():
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if key == 'labels':
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continue
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for i in range(len(datasets[key])):
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datasets[key][i] = HelperFunctions.convert_time(
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datasets[key][i], largest_time_unit
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)
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with open('assets/benchmarking-dwarfs/data/bulk.csv', 'rt') as f:
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for line in csv.reader(f):
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if line[2] != 'bulk_sequential_read_latency':
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continue
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fs = HelperFunctions.get_fs(line[0])
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label = HelperFunctions.get_label(line[1])
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datasets['labels'].append(label) if label not in datasets[
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'labels'
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] else False
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for item in line[3:]:
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if largest_time_unit == 's':
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break
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if item.endswith('ms'):
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largest_time_unit = 'ms'
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elif item.endswith('µs') and largest_time_unit != 'ms':
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largest_time_unit = 'µs'
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elif (
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item.endswith('ns')
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and largest_time_unit != 'ms'
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and largest_time_unit != 'µs'
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):
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largest_time_unit = 'ns'
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elif re.sub('[0-9]\\.', '', item) == 's':
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largest_time_unit = 's'
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break
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for i in range(len(line[3:])):
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line[i + 3] = HelperFunctions.convert_time(item, largest_time_unit)
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datasets[fs].append(sum(line[3:]) / len(line[3:]))
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return (datasets, largest_time_unit)
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def seq_latency():
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with open('assets/benchmarking-dwarfs/js/seq_latency.js', 'wt') as f:
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# from https://github.com/chartjs/Chart.js/blob/master/docs/scripts/utils.js (CHART_COLORS)
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# modified so similar color aren't adjacent
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chart_colors = [
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"'rgb(255, 99, 132)'", # red
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"'rgb(75, 192, 192)'", # green
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"'rgb(54, 162, 235)'", # blue
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"'rgb(255, 159, 64)'", # orange
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"'rgb(153, 102, 255)'", # purple
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"'rgb(255, 205, 86)'", # yellow
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"'rgb(201, 203, 207)'", # grey
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]
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labels_code = 'labels = $labels$'
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dataset_code = '''
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{
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label: '$label$',
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data: $data$,
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backgroundColor: $color$,
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},
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'''
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config_code = '''
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config = {
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type: 'bar',
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data: {
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datasets: data,
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labels
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},
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options: {
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plugins: {
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title: {
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display: true,
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text: '$title$ - in $timeunit$'
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},
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},
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responsive: true,
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interaction: {
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intersect: false,
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},
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}
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};
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'''
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data, largest_time_unit = get_seq_latency_data()
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labels_code = labels_code.replace('$labels$', format(data['labels']))
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f.write(labels_code)
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data.pop('labels')
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f.write('\ndata = [')
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for fs in data.keys():
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f.write(
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dataset_code.replace('$label$', fs)
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.replace('$data$', format(data[fs]))
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.replace('$color$', format(chart_colors[list(data.keys()).index(fs)]))
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)
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f.write('\n]\n')
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title = 'Sequential Read Latency'
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f.write(
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config_code.replace('$title$', title).replace(
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'$timeunit$', largest_time_unit
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)
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)
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f.write('\nChart.defaults.borderColor = "#eee"\n')
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f.write('Chart.defaults.color = "#eee";\n')
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f.write('ctx = document.getElementById("seq_read_latency_chart");\n')
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f.write('new Chart(ctx, config);\n')
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def get_rand_latency_data() -> tuple:
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# format: { 'labels': ['btrfs'], 'btrfs': [9, 8, 4, 6]}
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datasets = {'labels': []}
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with open('assets/benchmarking-dwarfs/data/benchmark-data.csv', 'rt') as f:
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for line in csv.reader(f):
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fs = HelperFunctions.get_fs(line[0])
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label = HelperFunctions.get_label(line[1])
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datasets['labels'].append(label) if label not in datasets[
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'labels'
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] else False
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try:
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datasets[fs].append(line[5])
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except KeyError:
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datasets[fs] = []
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datasets[fs].append(line[5])
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# NOTE: this will break if the bulk data contains a larger unit than the single file data, but that's unlikely to happen so I'm not gonna deal with it
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largest_time_unit = 'ns'
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for key in datasets.keys():
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if key == 'labels':
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continue
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for item in datasets[key]:
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if largest_time_unit == 's':
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break
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if item.endswith('ms'):
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largest_time_unit = 'ms'
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elif item.endswith('µs') and largest_time_unit != 'ms':
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largest_time_unit = 'µs'
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elif (
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item.endswith('ns')
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and largest_time_unit != 'ms'
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and largest_time_unit != 'µs'
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):
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largest_time_unit = 'ns'
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elif re.sub('[0-9]\\.', '', item) == 's':
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largest_time_unit = 's'
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break
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for key in datasets.keys():
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if key == 'labels':
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continue
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for i in range(len(datasets[key])):
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datasets[key][i] = HelperFunctions.convert_time(
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datasets[key][i], largest_time_unit
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)
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with open('assets/benchmarking-dwarfs/data/bulk.csv', 'rt') as f:
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for line in csv.reader(f):
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if line[2] != 'bulk_random_read_latency':
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continue
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fs = HelperFunctions.get_fs(line[0])
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label = HelperFunctions.get_label(line[1])
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datasets['labels'].append(label) if label not in datasets[
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'labels'
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] else False
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for item in line[3:]:
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if largest_time_unit == 's':
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break
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if item.endswith('ms'):
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largest_time_unit = 'ms'
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elif item.endswith('µs') and largest_time_unit != 'ms':
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largest_time_unit = 'µs'
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elif (
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item.endswith('ns')
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and largest_time_unit != 'ms'
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and largest_time_unit != 'µs'
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):
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largest_time_unit = 'ns'
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elif re.sub('[0-9]\\.', '', item) == 's':
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largest_time_unit = 's'
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break
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for i in range(len(line[3:])):
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line[i + 3] = HelperFunctions.convert_time(item, largest_time_unit)
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datasets[fs].append(sum(line[3:]) / len(line[3:]))
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return (datasets, largest_time_unit)
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def rand_latency():
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with open('assets/benchmarking-dwarfs/js/rand_latency.js', 'wt') as f:
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# from https://github.com/chartjs/Chart.js/blob/master/docs/scripts/utils.js (CHART_COLORS)
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# modified so similar color aren't adjacent
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chart_colors = [
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"'rgb(255, 99, 132)'", # red
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"'rgb(75, 192, 192)'", # green
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"'rgb(54, 162, 235)'", # blue
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"'rgb(255, 159, 64)'", # orange
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"'rgb(153, 102, 255)'", # purple
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"'rgb(255, 205, 86)'", # yellow
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"'rgb(201, 203, 207)'", # grey
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]
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labels_code = 'labels = $labels$'
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dataset_code = '''
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{
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label: '$label$',
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data: $data$,
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backgroundColor: $color$,
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},
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'''
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config_code = '''
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config = {
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type: 'bar',
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data: {
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datasets: data,
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labels
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},
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options: {
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plugins: {
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title: {
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display: true,
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text: '$title$ - in $timeunit$'
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},
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},
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responsive: true,
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interaction: {
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intersect: false,
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},
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}
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};
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'''
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data, largest_time_unit = get_rand_latency_data()
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labels_code = labels_code.replace('$labels$', format(data['labels']))
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f.write(labels_code)
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data.pop('labels')
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f.write('\ndata = [')
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for fs in data.keys():
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f.write(
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dataset_code.replace('$label$', fs)
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.replace('$data$', format(data[fs]))
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.replace('$color$', format(chart_colors[list(data.keys()).index(fs)]))
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)
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f.write('\n]\n')
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title = 'Random Read Latency'
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f.write(
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config_code.replace('$title$', title).replace(
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'$timeunit$', largest_time_unit
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)
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)
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f.write('\nChart.defaults.borderColor = "#eee"\n')
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f.write('Chart.defaults.color = "#eee";\n')
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f.write('ctx = document.getElementById("rand_read_latency_chart");\n')
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f.write('new Chart(ctx, config);\n')
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def get_seq_read_data() -> tuple:
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# format: { 'labels': ['btrfs'], 'btrfs': [9, 8, 4, 6]}
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datasets = {'labels': []}
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with open('assets/benchmarking-dwarfs/data/benchmark-data.csv', 'rt') as f:
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for line in csv.reader(f):
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fs = HelperFunctions.get_fs(line[0])
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label = HelperFunctions.get_label(line[1])
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datasets['labels'].append(label) if label not in datasets[
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'labels'
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] else False
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try:
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datasets[fs].append(line[2])
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except KeyError:
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datasets[fs] = []
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datasets[fs].append(line[2])
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data[fs] = []
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data[fs].append(line[single_files_index])
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# NOTE: this will break if the bulk data contains a larger unit than the single file data, but that's unlikely to happen so I'm not gonna deal with it
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# and it's a bit broken regardless but whatever
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largest_time_unit = 'ns'
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for key in datasets.keys():
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for key in data.keys():
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if key == 'labels':
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continue
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for item in datasets[key]:
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for item in data[key]:
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if largest_time_unit == 's':
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break
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if item.endswith('ms'):
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@ -394,21 +89,21 @@ def get_seq_read_data() -> tuple:
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largest_time_unit = 's'
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break
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for key in datasets.keys():
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for key in data.keys():
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if key == 'labels':
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continue
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for i in range(len(datasets[key])):
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datasets[key][i] = HelperFunctions.convert_time(
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datasets[key][i], largest_time_unit
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for i in range(len(data[key])):
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data[key][i] = HelperFunctions.convert_time(
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data[key][i], largest_time_unit
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)
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with open('assets/benchmarking-dwarfs/data/bulk.csv', 'rt') as f:
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for line in csv.reader(f):
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if line[2] != 'bulk_sequential_read':
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if line[2] != bulk_test_name:
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continue
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fs = HelperFunctions.get_fs(line[0])
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label = HelperFunctions.get_label(line[1])
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datasets['labels'].append(label) if label not in datasets[
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data['labels'].append(label) if label not in data[
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'labels'
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] else False
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|
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@ -432,13 +127,13 @@ def get_seq_read_data() -> tuple:
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for i in range(len(line[3:])):
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line[i + 3] = HelperFunctions.convert_time(item, largest_time_unit)
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datasets[fs].append(sum(line[3:]) / len(line[3:]))
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data[fs].append(sum(line[3:]) / len(line[3:]))
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return (datasets, largest_time_unit)
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return (data, largest_time_unit)
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def seq_read():
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with open('assets/benchmarking-dwarfs/js/seq_read.js', 'wt') as f:
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def run(single_files_index: int, bulk_test_name: str, filename: str, title: str, chart_canvas_id: str):
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with open(f'assets/benchmarking-dwarfs/js/{filename}', 'wt') as f:
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# from https://github.com/chartjs/Chart.js/blob/master/docs/scripts/utils.js (CHART_COLORS)
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# modified so similar color aren't adjacent
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chart_colors = [
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@ -482,7 +177,7 @@ def seq_read():
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};
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'''
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data, largest_time_unit = get_seq_read_data()
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data, largest_time_unit = get_data(single_files_index, bulk_test_name)
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labels_code = labels_code.replace('$labels$', format(data['labels']))
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f.write(labels_code)
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data.pop('labels')
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|
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@ -495,7 +190,6 @@ def seq_read():
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)
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f.write('\n]\n')
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title = 'Sequential Read Times'
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f.write(
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config_code.replace('$title$', title).replace(
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'$timeunit$', largest_time_unit
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|
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@ -504,167 +198,22 @@ def seq_read():
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f.write('\nChart.defaults.borderColor = "#eee"\n')
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f.write('Chart.defaults.color = "#eee";\n')
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f.write('ctx = document.getElementById("seq_read_chart");\n')
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f.write('new Chart(ctx, config);\n')
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def get_rand_read_data() -> tuple:
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# format: { 'labels': ['btrfs'], 'btrfs': [9, 8, 4, 6]}
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datasets = {'labels': []}
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with open('assets/benchmarking-dwarfs/data/benchmark-data.csv', 'rt') as f:
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for line in csv.reader(f):
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fs = HelperFunctions.get_fs(line[0])
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label = HelperFunctions.get_label(line[1])
|
||||
datasets['labels'].append(label) if label not in datasets[
|
||||
'labels'
|
||||
] else False
|
||||
try:
|
||||
datasets[fs].append(line[3])
|
||||
except KeyError:
|
||||
datasets[fs] = []
|
||||
datasets[fs].append(line[3])
|
||||
|
||||
# NOTE: this will break if the bulk data contains a larger unit than the single file data, but that's unlikely to happen so I'm not gonna deal with it
|
||||
# and it's a bit broken regardless but whatever
|
||||
largest_time_unit = 'ns'
|
||||
for key in datasets.keys():
|
||||
if key == 'labels':
|
||||
continue
|
||||
for item in datasets[key]:
|
||||
if largest_time_unit == 's':
|
||||
break
|
||||
if item.endswith('ms'):
|
||||
largest_time_unit = 'ms'
|
||||
elif item.endswith('µs') and largest_time_unit != 'ms':
|
||||
largest_time_unit = 'µs'
|
||||
elif (
|
||||
item.endswith('ns')
|
||||
and largest_time_unit != 'ms'
|
||||
and largest_time_unit != 'µs'
|
||||
):
|
||||
largest_time_unit = 'ns'
|
||||
elif re.sub('[0-9\\.]', '', item) == 's':
|
||||
largest_time_unit = 's'
|
||||
break
|
||||
|
||||
for key in datasets.keys():
|
||||
if key == 'labels':
|
||||
continue
|
||||
for i in range(len(datasets[key])):
|
||||
datasets[key][i] = HelperFunctions.convert_time(
|
||||
datasets[key][i], largest_time_unit
|
||||
)
|
||||
|
||||
with open('assets/benchmarking-dwarfs/data/bulk.csv', 'rt') as f:
|
||||
for line in csv.reader(f):
|
||||
if line[2] != 'bulk_random_read':
|
||||
continue
|
||||
fs = HelperFunctions.get_fs(line[0])
|
||||
label = HelperFunctions.get_label(line[1])
|
||||
datasets['labels'].append(label) if label not in datasets[
|
||||
'labels'
|
||||
] else False
|
||||
|
||||
for item in line[3:]:
|
||||
if largest_time_unit == 's':
|
||||
break
|
||||
if item.endswith('ms'):
|
||||
largest_time_unit = 'ms'
|
||||
elif item.endswith('µs') and largest_time_unit != 'ms':
|
||||
largest_time_unit = 'µs'
|
||||
elif (
|
||||
item.endswith('ns')
|
||||
and largest_time_unit != 'ms'
|
||||
and largest_time_unit != 'µs'
|
||||
):
|
||||
largest_time_unit = 'ns'
|
||||
elif re.sub('[0-9]\\.', '', item) == 's':
|
||||
largest_time_unit = 's'
|
||||
break
|
||||
|
||||
for i in range(len(line[3:])):
|
||||
line[i + 3] = HelperFunctions.convert_time(item, largest_time_unit)
|
||||
|
||||
datasets[fs].append(sum(line[3:]) / len(line[3:]))
|
||||
|
||||
return (datasets, largest_time_unit)
|
||||
|
||||
|
||||
def rand_read():
|
||||
with open('assets/benchmarking-dwarfs/js/rand_read.js', 'wt') as f:
|
||||
# from https://github.com/chartjs/Chart.js/blob/master/docs/scripts/utils.js (CHART_COLORS)
|
||||
# modified so similar color aren't adjacent
|
||||
chart_colors = [
|
||||
"'rgb(255, 99, 132)'", # red
|
||||
"'rgb(75, 192, 192)'", # green
|
||||
"'rgb(54, 162, 235)'", # blue
|
||||
"'rgb(255, 159, 64)'", # orange
|
||||
"'rgb(153, 102, 255)'", # purple
|
||||
"'rgb(255, 205, 86)'", # yellow
|
||||
"'rgb(201, 203, 207)'", # grey
|
||||
]
|
||||
|
||||
labels_code = 'labels = $labels$'
|
||||
dataset_code = '''
|
||||
{
|
||||
label: '$label$',
|
||||
data: $data$,
|
||||
backgroundColor: $color$,
|
||||
},
|
||||
'''
|
||||
|
||||
config_code = '''
|
||||
config = {
|
||||
type: 'bar',
|
||||
data: {
|
||||
datasets: data,
|
||||
labels
|
||||
},
|
||||
options: {
|
||||
plugins: {
|
||||
title: {
|
||||
display: true,
|
||||
text: '$title$ - in $timeunit$'
|
||||
},
|
||||
},
|
||||
responsive: true,
|
||||
interaction: {
|
||||
intersect: false,
|
||||
},
|
||||
}
|
||||
};
|
||||
'''
|
||||
|
||||
data, largest_time_unit = get_rand_read_data()
|
||||
labels_code = labels_code.replace('$labels$', format(data['labels']))
|
||||
f.write(labels_code)
|
||||
data.pop('labels')
|
||||
f.write('\ndata = [')
|
||||
for fs in data.keys():
|
||||
f.write(
|
||||
dataset_code.replace('$label$', fs)
|
||||
.replace('$data$', format(data[fs]))
|
||||
.replace('$color$', format(chart_colors[list(data.keys()).index(fs)]))
|
||||
)
|
||||
f.write('\n]\n')
|
||||
|
||||
title = 'Random Read Times'
|
||||
f.write(
|
||||
config_code.replace('$title$', title).replace(
|
||||
'$timeunit$', largest_time_unit
|
||||
)
|
||||
)
|
||||
|
||||
f.write('\nChart.defaults.borderColor = "#eee"\n')
|
||||
f.write('Chart.defaults.color = "#eee";\n')
|
||||
f.write('ctx = document.getElementById("rand_read_chart");\n')
|
||||
f.write(f'ctx = document.getElementById("{chart_canvas_id}");\n')
|
||||
f.write('new Chart(ctx, config);\n')
|
||||
|
||||
def declare_vars():
|
||||
with open('assets/benchmarking-dwarfs/js/declare_vars.js', 'wt') as f:
|
||||
f.write('let labels;\n')
|
||||
f.write('let config;\n')
|
||||
f.write('let data;\n')
|
||||
f.write('let ctx;\n')
|
||||
|
||||
if __name__ == '__main__':
|
||||
# NOTE: this code is absolutely horrible and all these functions (except declare_vars) should be one function that just takes the title, chart canvas id, filename, test name in bulk, and index in singles
|
||||
# and what function to get data from, if that's possible
|
||||
# i will repent to the DRY gods someday
|
||||
seq_read()
|
||||
rand_read()
|
||||
seq_latency()
|
||||
rand_latency()
|
||||
declare_vars()
|
||||
run(2, 'bulk_sequential_read', 'seq_read.js', 'Sequential Read Times', 'seq_read_chart')
|
||||
run(3, 'bulk_random_read', 'rand_read.js', 'Random Read Times', 'rand_read_chart')
|
||||
run(4, 'bulk_sequential_read_latency', 'seq_latency.js', 'Sequential Read Latency', 'seq_read_latency_chart')
|
||||
run(5, 'bulk_random_read_latency', 'rand_latency.js', 'Random Read Latency', 'rand_read_latency_chart')
|
||||
|
|
|
|||
Loading…
Reference in a new issue