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72 lines
2.2 KiB
Python
72 lines
2.2 KiB
Python
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"""Evaluator for the K-Bench default test."""
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import os
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import re
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from collections import defaultdict
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from typing import Dict
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pod_latencies = {
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'pod_create': 'create pod latency:',
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'pod_list': 'list pod latency:',
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'pod_get': 'get pod latency:',
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'pod_update': 'update pod latency:',
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'pod_delete': 'delete pod latency:',
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}
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deployment_latencies = {
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'depl_create': 'create deployment latency:',
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'depl_list': 'list deployment latency:',
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'depl_update': 'update deployment latency:',
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'depl_scale': 'scale deployment latency:',
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'depl_delete': 'delete deployment latency:',
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}
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service_latencies = {
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'svc_create': 'create service latency:',
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'svc_list': 'list service latency:',
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'svc_get': 'get service latency:',
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'svc_update': 'update service latency:',
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'svc_delete': 'delete service latency:',
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}
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def eval(tests: Dict[str, str]) -> Dict[str, Dict[str, float]]:
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"""Read the results of the default tests.
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Return a result dictionary.
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"""
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result = {}
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for t in tests:
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row = defaultdict(float)
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# read the default result file
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kbench = []
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with open(os.path.join(tests[t], 'default', 'kbench.log'), 'r') as f:
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kbench = f.readlines()
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if not kbench:
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raise Exception("Empty kbench.log")
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subtests = [pod_latencies, service_latencies, deployment_latencies]
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for latency_dict in subtests:
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# Get the API Call Latencies (median)
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for key in latency_dict:
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line = get_line_containing_needle(
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lines=kbench, needle=latency_dict[key])
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median = get_median_from_line(line=line)
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row[key] = float(median)
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result[t] = row
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return result
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def get_median_from_line(line):
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"""Extract the value (median) from the line."""
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return re.search(r'\s(\d+\.\d+)(.+)', line).group(1)
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def get_line_containing_needle(lines, needle):
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"""Find matching line from list of lines."""
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matches = list(filter(lambda l: needle in l, lines))
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if len(matches) > 1:
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raise Exception(f"'{needle}' matched multiple times..")
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return matches[0]
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