zulip/tools/analyze-url-coverage

65 lines
1.5 KiB
Python
Executable File

#!/usr/bin/env python
from __future__ import print_function
from collections import defaultdict
import ujson
def analyze_url_coverage():
fn = 'var/url_coverage.txt' # TODO: make path more robust, maybe use json suffix
calls = []
for line in open(fn):
calls.append(ujson.loads(line))
show_slow_endpoints(calls)
show_best_coverage(calls)
show_which_tests_ran_endpoints(calls)
def show_slow_endpoints(calls):
tups = []
for call in calls:
tups.append((call['delay'], call['url'], call['method']))
tups.sort(reverse=True)
num = 10
print('%d slowest endpoints' % (num,))
for delay, url, method in tups[:num]:
print('%.03f %s %s' % (delay, url, method))
print()
def show_best_coverage(calls):
count = defaultdict(int) # type: Dict[str, int]
for call in calls:
count[call['url']] += 1
counts = [(v, k) for k, v in count.items()]
counts.sort(reverse=True)
num = 10
print('%d best covered endpoints' % (num,))
for cnt, url in counts[:num]:
print('%3d %s' % (cnt, url))
print()
def show_which_tests_ran_endpoints(calls):
test_name_dct = defaultdict(list) # type: Dict[str, List[str]]
for call in calls:
url = call['url']
test_name_dct[url].append(call['test_name'])
for k in sorted(test_name_dct):
print(k)
for test_name in sorted(test_name_dct[k]):
print(' %s' % (test_name,))
print()
print()
if __name__ == '__main__':
analyze_url_coverage()