1c98c456b5
Turn on flake8 for code style checks, like in our other repos. Fix or explicitly ignore various issues to allow the linter job to pass. Change-Id: I7bfd8cf5e9c00dfa83c0393a4307fd54d2113047 Signed-off-by: Doug Hellmann <doug@doughellmann.com>
270 lines
9.6 KiB
Python
270 lines
9.6 KiB
Python
#!/usr/bin/env python
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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import functools
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import os
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import sys
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import time
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import uuid
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import requests
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import requests_cache
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import yaml
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import base
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# Since the stackalytics is slow and we can call it twice, cache the results
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requests_cache.install_cache(backend='memory', expire_after=60)
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s = requests.session()
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six_months = int(time.time() - 30*6*24*60*60) # 6 months ago
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# NOTE(flaper87): This value affects both, single-vendor and diverse-affiliation
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# tags and it's been tuned to a reasonable enough threshold to measure reviews
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# activeness. Changes to this value must be discussed separately.
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MIN_PERCENTAGE_REVIEWS = 0.02 # 2%
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MIN_REVIEWS = 30
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MIN_COMMITS = 6
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def _memoize(func):
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cache = {}
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@functools.wraps(func)
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def memoized(*args, **kwargs):
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key = (args, tuple(kwargs.items()))
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try:
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return cache[key]
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except KeyError:
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cache[key] = func(*args, **kwargs)
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return cache[key]
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return memoized
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@_memoize
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def _get_number_of_commits(group, start_date=six_months):
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commits = s.get('http://stackalytics.com/api/'
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'1.0/stats/companies?metric=commits&release=all'
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'&project_type=all&module=%s&start_date=%s'
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% (group, start_date)).json()
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return sum([company['metric'] for company in commits['stats']])
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@_memoize
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def get_team_size_stats(team):
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team_stats = {}
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group = "%s-group" % team.lower()
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commits_total = _get_number_of_commits(group)
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min_percent = int(commits_total * MIN_PERCENTAGE_REVIEWS)
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reviews = s.get('http://stackalytics.com/api/'
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'1.0/stats/engineers?metric=marks&release=all'
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'&start_date=%s&project_type=all'
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'&module=%s' % (six_months, group)).json()
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team_stats['active_reviewers'] = 0
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for eng in reviews['stats']:
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if eng['metric'] >= MIN_REVIEWS or eng['metric'] >= min_percent:
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team_stats['active_reviewers'] += 1
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team_stats['active_committers'] = 0
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commits = s.get('http://stackalytics.com/api/'
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'1.0/stats/engineers?metric=commits&release=all'
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'&project_type=all&module=%s&start_date=%s'
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% (group, six_months)).json()
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for eng in commits['stats']:
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if eng['metric'] >= MIN_COMMITS:
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team_stats['active_committers'] += 1
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return team_stats
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@_memoize
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def get_core_reviews_by_company(group):
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# reviews by individual
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commits_total = _get_number_of_commits(group)
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min_percent = int(commits_total * MIN_PERCENTAGE_REVIEWS)
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reviews = s.get('http://stackalytics.com/api/'
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'1.0/stats/engineers?metric=marks&release=all'
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'&start_date=%s&project_type=all'
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'&module=%s' % (six_months, group)).json()
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companies = {}
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for eng in reviews['stats']:
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if eng['core'] != 'master':
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continue
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for stat in s.get('http://stackalytics.com/api/1.0/stats/'
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'companies?metric=marks&module=%s&user_id=%s&'
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'project_type=all&release=all&start_date=%s' %
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(group, eng['id'], six_months)).json()['stats']:
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company = stat['id']
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if company == '*independent':
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# several independent reviewers are not working in one company
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company = 'independent-%s' % uuid.uuid4()
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companies.setdefault(company, {'reviewers': 0, 'reviews': 0})
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if eng['metric'] >= MIN_REVIEWS or eng['metric'] >= min_percent:
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companies[company]['reviews'] += stat['metric']
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companies[company]['reviewers'] += 1
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return companies
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@_memoize
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def get_diversity_stats(project):
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team_stats = {}
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# commits by company
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group = "%s-group" % project.lower()
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commits = s.get('http://stackalytics.com/api/'
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'1.0/stats/companies?metric=commits&release=all'
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'&project_type=all&module=%s&start_date=%s'
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% (group, six_months)).json()
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# reviews by company
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reviews = s.get('http://stackalytics.com/api/'
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'1.0/stats/companies?metric=marks&release=all'
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'&project_type=all&module=%s&start_date=%s'
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% (group, six_months)).json()
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core_reviews_by_company = get_core_reviews_by_company(group)
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commits_total = sum([company['metric'] for company in commits['stats']])
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top2 = [
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commits['stats'][0]['metric'] if len(commits['stats']) > 0 else 0,
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commits['stats'][1]['metric'] if len(commits['stats']) > 1 else 0,
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]
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team_stats['commits_top'] = (
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(float(top2[0]) / commits_total * 100) if commits_total else 0)
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team_stats['commits_top2'] = (
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(float(sum(top2)) / commits_total * 100) if commits_total else 0)
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reviews_total = sum([company['metric'] for company in reviews['stats']])
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top2 = [
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reviews['stats'][0]['metric'] if len(reviews['stats']) > 0 else 0,
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reviews['stats'][1]['metric'] if len(reviews['stats']) > 1 else 0,
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]
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team_stats['reviews_top'] = (
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(float(top2[0]) / reviews_total * 100) if reviews_total else 0)
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team_stats['reviews_top2'] = (
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(float(sum(top2)) / reviews_total * 100) if reviews_total else 0)
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core_review_values = [company['reviews'] for company in
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core_reviews_by_company.values()]
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if len(core_review_values) == 1:
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core_review_values = [core_review_values[0], 0]
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core_review_values.sort(reverse=True)
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core_reviews_total = sum(core_review_values)
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team_stats['core_reviews_top'] = (
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(float(core_review_values[0]) / core_reviews_total * 100)
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if core_reviews_total else 0)
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team_stats['core_reviews_top2'] = (
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((float(core_review_values[0]) + float(core_review_values[1])) /
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core_reviews_total * 100) if core_reviews_total else 0)
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core_reviewers_values = [company['reviewers'] for company in
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core_reviews_by_company.values()]
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if len(core_reviewers_values) == 1:
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core_reviewers_values = [core_reviewers_values[0], 0]
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core_reviewers_values.sort(reverse=True)
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core_reviewers_total = sum(core_reviewers_values)
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team_stats['core_reviewers_top'] = (
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(float(core_reviewers_values[0]) / core_reviewers_total * 100)
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if core_reviewers_total else 0)
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team_stats['core_reviewers_top2'] = (
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((float(core_reviewers_values[0]) + float(core_reviewers_values[1])) /
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core_reviewers_total * 100) if core_reviewers_total else 0)
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return team_stats
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def is_diverse(team):
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team_stats = get_diversity_stats(team)
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diversity = all((
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(team_stats['commits_top'] <= 50),
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(team_stats['reviews_top'] <= 50),
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(team_stats['core_reviews_top'] <= 50),
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(team_stats['core_reviewers_top'] <= 50),
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(team_stats['commits_top2'] <= 80),
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(team_stats['reviews_top2'] <= 80),
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(team_stats['core_reviews_top2'] <= 80),
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(team_stats['core_reviewers_top2'] <= 80),
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))
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return diversity
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def is_single_vendor(team):
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team_stats = get_diversity_stats(team)
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multi_vendor = all((
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(team_stats['commits_top'] < 90),
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(team_stats['reviews_top'] < 90),
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(team_stats['core_reviews_top'] < 90),
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(team_stats['core_reviewers_top'] < 90),
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))
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return not multi_vendor
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def print_diversity(team):
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team_stats = get_diversity_stats(team)
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print('%-18s (%.2f%% | %.2f%% | %.2f%% | %.2f%%)' % (
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team, team_stats['commits_top'], team_stats['reviews_top'],
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team_stats['core_reviews_top'], team_stats['core_reviewers_top']))
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print('%-18s (%.2f%% | %.2f%% | %.2f%% | %.2f%%)' % (
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'', team_stats['commits_top2'], team_stats['reviews_top2'],
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team_stats['core_reviews_top2'], team_stats['core_reviewers_top2']))
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def print_team_size(team):
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team_stats = get_team_size_stats(team)
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print('%-18s (%6s | %6s)' % (
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'', team_stats['active_committers'],
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team_stats['active_reviewers']))
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class ValidateDiversity(base.ValidatorBase):
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@staticmethod
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def validate(team):
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"""Return True of team should have 'team:diverse-affiliation'"""
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return is_diverse(team)
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@staticmethod
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def get_tag_name():
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return "team:diverse-affiliation"
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class ValidateSingleVendor(base.ValidatorBase):
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@staticmethod
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def validate(team):
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"""Return True of team should have 'team:single-vendor'"""
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return is_single_vendor(team)
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@staticmethod
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def get_tag_name():
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return "team:single-vendor"
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def main():
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filename = os.path.abspath('reference/projects.yaml')
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with open(filename, 'r') as f:
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projects = [k for k in yaml.safe_load(f.read())]
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projects.sort()
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print('<Team> (top commit % | top review % | top core review % | '
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'top core reviewer %)')
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print(' (top 2 commit % | top 2 review % | top 2 core review % | '
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'top 2 core reviewer %)')
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print(' (active committers | active reviewers)')
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for project in projects:
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print_diversity(project)
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print_team_size(project)
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if __name__ == '__main__':
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sys.exit(main())
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