governance/tools/teamstats.py
Flavio Percoco 73d58516f7 Update thresholds for active reviewers
We've been using 30 as the threshold to determine when reviewers are
active in a project. This commit expands the threshold to include also
reviewers that have reviewed at least 2% of the proposed patches.

Change-Id: I256a031b8a9b1e5b8635f626c0a13e0d06648256
2016-07-22 14:53:10 +02:00

265 lines
9.4 KiB
Python

#!/usr/bin/env python
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import functools
import os
import sys
import time
import requests
import requests_cache
import yaml
import base
# Since the stackalytics is slow and we can call it twice, cache the results
requests_cache.install_cache(backend='memory', expire_after=60)
s = requests.session()
six_months = int(time.time() - 30*6*24*60*60) # 6 months ago
# NOTE(flaper87): This value affects both, single-vendor and diverse-affiliation
# tags and it's been tuned to a reasonable enough threshold to measure reviews
# activeness. Changes to this value must be discussed separately.
MIN_PERCENTAGE_REVIEWS = 0.02 # 2%
MIN_REVIEWS = 30
MIN_COMMITS = 6
def _memoize(func):
cache = {}
@functools.wraps(func)
def memoized(*args, **kwargs):
key = (args, tuple(kwargs.items()))
try:
return cache[key]
except KeyError:
cache[key] = func(*args, **kwargs)
return cache[key]
return memoized
@_memoize
def _get_number_of_commits(group, start_date=six_months):
commits = s.get('http://stackalytics.com/api/'
'1.0/stats/companies?metric=commits&release=all'
'&project_type=all&module=%s&start_date=%s'
% (group, start_date)).json()
return sum([company['metric'] for company in commits['stats']])
@_memoize
def get_team_size_stats(team):
team_stats = {}
group = "%s-group" % team.lower()
commits_total = _get_number_of_commits(group)
min_percent = int(commits_total * MIN_PERCENTAGE_REVIEWS)
reviews = s.get('http://stackalytics.com/api/'
'1.0/stats/engineers?metric=marks&release=all'
'&start_date=%s&project_type=all'
'&module=%s' % (six_months, group)).json()
team_stats['active_reviewers'] = 0
for eng in reviews['stats']:
if eng['metric'] >= MIN_REVIEWS or eng['metric'] >= min_percent:
team_stats['active_reviewers'] += 1
team_stats['active_committers'] = 0
commits = s.get('http://stackalytics.com/api/'
'1.0/stats/engineers?metric=commits&release=all'
'&project_type=all&module=%s&start_date=%s'
% (group, six_months)).json()
for eng in commits['stats']:
if eng['metric'] >= MIN_COMMITS:
team_stats['active_committers'] += 1
return team_stats
@_memoize
def get_core_reviews_by_company(group):
# reviews by individual
commits_total = _get_number_of_commits(group)
min_percent = int(commits_total * MIN_PERCENTAGE_REVIEWS)
reviews = s.get('http://stackalytics.com/api/'
'1.0/stats/engineers?metric=marks&release=all'
'&start_date=%s&project_type=all'
'&module=%s' % (six_months, group)).json()
companies = {}
for eng in reviews['stats']:
if eng['core'] != 'master':
continue
company = s.get('http://stackalytics.com/api/1.0/'
'stats/companies?metric=marks&'
'module=%s&user_id=%s&project_type=all'
'&release=all&start_date=%s'
% (group, eng['id'],
six_months)).json()['stats'][0]['id']
companies.setdefault(company, {'reviewers': 0, 'reviews': 0})
if eng['metric'] >= MIN_REVIEWS or eng['metric'] >= min_percent:
companies[company]['reviews'] += eng['metric']
companies[company]['reviewers'] += 1
return companies
@_memoize
def get_diversity_stats(project):
team_stats = {}
# commits by company
group = "%s-group" % project.lower()
commits = s.get('http://stackalytics.com/api/'
'1.0/stats/companies?metric=commits&release=all'
'&project_type=all&module=%s&start_date=%s'
% (group, six_months)).json()
# reviews by company
reviews = s.get('http://stackalytics.com/api/'
'1.0/stats/companies?metric=marks&release=all'
'&project_type=all&module=%s&start_date=%s'
% (group, six_months)).json()
core_reviews_by_company = get_core_reviews_by_company(group)
commits_total = sum([company['metric'] for company in commits['stats']])
top2 = [
commits['stats'][0]['metric'] if len(commits['stats']) > 0 else 0,
commits['stats'][1]['metric'] if len(commits['stats']) > 1 else 0,
]
team_stats['commits_top'] = (
(float(top2[0]) / commits_total * 100) if commits_total else 0)
team_stats['commits_top2'] = (
(float(sum(top2)) / commits_total * 100) if commits_total else 0)
reviews_total = sum([company['metric'] for company in reviews['stats']])
top2 = [
reviews['stats'][0]['metric'] if len(reviews['stats']) > 0 else 0,
reviews['stats'][1]['metric'] if len(reviews['stats']) > 1 else 0,
]
team_stats['reviews_top'] = (
(float(top2[0]) / reviews_total * 100) if reviews_total else 0)
team_stats['reviews_top2'] = (
(float(sum(top2)) / reviews_total * 100) if reviews_total else 0)
core_review_values = [company['reviews'] for company in
core_reviews_by_company.itervalues()]
if len(core_review_values) == 1:
core_review_values = [core_review_values[0], 0]
core_review_values.sort(reverse=True)
core_reviews_total = sum(core_review_values)
team_stats['core_reviews_top'] = (
(float(core_review_values[0]) / core_reviews_total * 100)
if core_reviews_total else 0)
team_stats['core_reviews_top2'] = (
((float(core_review_values[0]) + float(core_review_values[1])) /
core_reviews_total * 100) if core_reviews_total else 0)
core_reviewers_values = [company['reviewers'] for company in
core_reviews_by_company.itervalues()]
if len(core_reviewers_values) == 1:
core_reviewers_values = [core_reviewers_values[0], 0]
core_reviewers_values.sort(reverse=True)
core_reviewers_total = sum(core_reviewers_values)
team_stats['core_reviewers_top'] = (
(float(core_reviewers_values[0]) / core_reviewers_total * 100)
if core_reviewers_total else 0)
team_stats['core_reviewers_top2'] = (
((float(core_reviewers_values[0]) + float(core_reviewers_values[1])) /
core_reviewers_total * 100) if core_reviewers_total else 0)
return team_stats
def is_diverse(team):
team_stats = get_diversity_stats(team)
diversity = all((
(team_stats['commits_top'] <= 50),
(team_stats['reviews_top'] <= 50),
(team_stats['core_reviews_top'] <= 50),
(team_stats['core_reviewers_top'] <= 50),
(team_stats['commits_top2'] <= 80),
(team_stats['reviews_top2'] <= 80),
(team_stats['core_reviews_top2'] <= 80),
(team_stats['core_reviewers_top2'] <= 80),
))
return diversity
def is_single_vendor(team):
team_stats = get_diversity_stats(team)
multi_vendor = all((
(team_stats['commits_top'] < 90),
(team_stats['reviews_top'] < 90),
(team_stats['core_reviews_top'] < 90),
(team_stats['core_reviewers_top'] < 90),
))
return not multi_vendor
def print_diversity(team):
team_stats = get_diversity_stats(team)
print '%-18s (%.2f%% | %.2f%% | %.2f%% | %.2f%%)' % (
team, team_stats['commits_top'], team_stats['reviews_top'],
team_stats['core_reviews_top'], team_stats['core_reviewers_top'])
print '%-18s (%.2f%% | %.2f%% | %.2f%% | %.2f%%)' % (
'', team_stats['commits_top2'], team_stats['reviews_top2'],
team_stats['core_reviews_top2'], team_stats['core_reviewers_top2'])
def print_team_size(team):
team_stats = get_team_size_stats(team)
print '%-18s (%6s | %6s)' % (
'', team_stats['active_committers'],
team_stats['active_reviewers'])
class ValidateDiversity(base.ValidatorBase):
@staticmethod
def validate(team):
"""Return True of team should have 'team:diverse-affiliation'"""
return is_diverse(team)
@staticmethod
def get_tag_name():
return "team:diverse-affiliation"
class ValidateSingleVendor(base.ValidatorBase):
@staticmethod
def validate(team):
"""Return True of team should have 'team:single-vendor'"""
return is_single_vendor(team)
@staticmethod
def get_tag_name():
return "team:single-vendor"
def main():
filename = os.path.abspath('reference/projects.yaml')
with open(filename, 'r') as f:
projects = [k for k in yaml.load(f.read())]
projects.sort()
print '<Team> (top commit % | top review % | top core review % | ' \
'top core reviewer %)'
print ' (top 2 commit % | top 2 review % | top 2 core review % | ' \
'top 2 core reviewer %)'
print ' (active committers | active reviewers)'
for project in projects:
print_diversity(project)
print_team_size(project)
if __name__ == '__main__':
sys.exit(main())