mirror of https://github.com/zulip/zulip.git
70 lines
1.7 KiB
Python
Executable File
70 lines
1.7 KiB
Python
Executable File
#!/usr/bin/env python
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from __future__ import print_function
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from collections import defaultdict
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from typing import Any, Dict, Iterable
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import ujson
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def analyze_url_coverage():
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# type: () -> None
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fn = 'var/url_coverage.txt' # TODO: make path more robust, maybe use json suffix
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calls = []
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for line in open(fn):
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calls.append(ujson.loads(line))
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show_slow_endpoints(calls)
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show_best_coverage(calls)
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show_which_tests_ran_endpoints(calls)
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def show_slow_endpoints(calls):
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# type: (Iterable[Dict[str, Any]]) -> None
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tups = []
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for call in calls:
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tups.append((call['delay'], call['url'], call['method']))
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tups.sort(reverse=True)
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num = 10
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print('%d slowest endpoints' % (num,))
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for delay, url, method in tups[:num]:
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print('%.03f %s %s' % (delay, url, method))
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print()
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def show_best_coverage(calls):
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# type: (Iterable[Dict[str, Any]]) -> None
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count = defaultdict(int) # type: Dict[str, int]
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for call in calls:
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count[call['url']] += 1
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counts = [(v, k) for k, v in count.items()]
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counts.sort(reverse=True)
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num = 10
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print('%d best covered endpoints' % (num,))
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for cnt, url in counts[:num]:
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print('%3d %s' % (cnt, url))
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print()
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def show_which_tests_ran_endpoints(calls):
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# type: (Iterable[Dict[str, Any]]) -> None
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test_name_dct = defaultdict(list) # type: Dict[str, List[str]]
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for call in calls:
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url = call['url']
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test_name_dct[url].append(call['test_name'])
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for k in sorted(test_name_dct):
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print(k)
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for test_name in sorted(test_name_dct[k]):
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print(' %s' % (test_name,))
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print()
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print()
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if __name__ == '__main__':
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analyze_url_coverage()
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