Fork of https://github.com/oxigraph/oxigraph.git for the purpose of NextGraph project
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55 lines
2.0 KiB
55 lines
2.0 KiB
import matplotlib.pyplot as plt
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import xml.etree.ElementTree as ET
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from collections import defaultdict
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from glob import glob
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from numpy import array
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def plot_y_per_x_per_plot(data, xlabel, ylabel, file, log=False):
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plt.figure(file)
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bar_width = 1 / (len(data) + 1)
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for i, (label, xys) in enumerate(sorted(data.items())):
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plt.bar(array(list(xys.keys())) + bar_width * (i + 1 - len(data) / 2), array(list(xys.values())), bar_width,
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label=label)
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plt.legend()
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plt.xlabel(xlabel)
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plt.ylabel(ylabel)
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plt.yscale('log')
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if log:
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plt.yscale('log')
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plt.savefig(file)
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def plot_usecase(name: str):
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aqet = defaultdict(dict)
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avgresults_by_query = defaultdict(lambda: defaultdict(dict))
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for file in glob('bsbm.{}.*.xml'.format(name)):
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parts = file.split('.')
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run = '.'.join(parts[2:-1])
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for query in ET.parse(file).getroot().find('queries').findall('query'):
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query_id = int(query.attrib['nr'])
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for child in query.iter():
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if child.tag == "aqet":
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val = float(query.find('aqet').text)
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if val > 0:
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aqet[run][query_id] = val
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elif child.tag == "avgresults":
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avgresults_by_query[query_id][int(parts[-3])][run] = float(query.find('avgresults').text)
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plot_y_per_x_per_plot(aqet, 'query id', 'execution time (s)', 'bsbm.{}.svg'.format(name))
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# we check if avgresults seems consistent
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for query, t in avgresults_by_query.items():
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for size, value_by_run in t.items():
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avg = sum(value_by_run.values()) / len(value_by_run)
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if not all(abs(v - avg) < 1 for v in value_by_run.values()):
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print(
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f'Strange value for average results for usecase {name} of size {size} and query {query}: {value_by_run}')
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plot_usecase('explore')
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plot_usecase('exploreAndUpdate')
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plot_usecase('businessIntelligence')
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plt.show()
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