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Rubocop summary stats generator
#!/usr/bin/env python3
"""
A little script to quickly identify the worst offenders. Easily extensible to
find and sort by other issues. Expects you to have results available in an
easily consumable JSON file, which you can generate by running:
rubocop --format progress --format json --out rubocop.json
"""
import json
import sys
from collections import Counter
def generate_offense_breakdown(offenses):
"""
Given a list of offenses, return a dict with keys as offenses
and values the counts of that offense.
"""
c = Counter()
for o in offenses:
c.update([o['cop_name']])
return c
def offenses_by_type(blob):
"""
Given a JSON blob, return a bunch of offenses.
"""
offending_files = []
for f in blob['files']:
r = {
"total_offenses": len(f['offenses']),
"offense_breakdown": generate_offense_breakdown(f['offenses']),
"filename": f['path']
}
offending_files.append(r)
return sorted(offending_files,
key=lambda k: k['total_offenses'],
reverse=True)
def offenses(blob):
"""
Just get the basic count of offenses.
"""
offending_files = []
for f in blob['files']:
offending_files.append([len(f['offenses']), f['path']])
offending_files.sort(reverse=True)
return offending_files
def print_offense_breakdown(offense_counter):
"""
Given an offense counter, print the individual offense counts.
"""
items = offense_counter.most_common()
for k, v in items:
if (k, v) != items[-1]:
print(' ├──', k + ":", v)
else:
print(' └──', k + ":", v)
def main():
results = json.loads(open('rubocop.json').read())
rubocop_results = offenses_by_type(results)
for r in rubocop_results:
if r['total_offenses'] >= 5:
print(r['filename'])
print(str.join("",
["└─┬ TotalOffenses: ", str(r['total_offenses'])]
))
print_offense_breakdown(r['offense_breakdown'])
print()
if __name__ == "__main__":
main()
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