def run(args):
Views.wait()
try:
s = Schwa(args.repository)
analytics = s.analyze(max_commits=args.commits, parallel=not args.single)
Views.results(analytics)
except (RepositoryExtractionException, SchwaConfigurationException) as e:
Views.failed(e)
sys.exit(1)
def learn(args):
Views.wait()
try:
s = Schwa(args.repository)
solution = s.learn(max_commits=args.commits, parallel=not args.single, bits=args.bits,
generations=args.generations)
Views.learn(solution, args.repository, args.commits)
except (RepositoryExtractionException, SchwaConfigurationException) as e:
Views.failed(e)
sys.exit(1)
def test_wrong_weights(self):
s = Schwa(".")
configs = {
"commits": 100,
"features_weights": {
"revisions": 0.4,
"fixes": 0.3,
"authors": 0.5
}
}
self.reset_weights()
max_commits = None
with self.assertRaises(SchwaConfigurationException):
max_commits = s.configure_yaml(configs, max_commits)
def test_valid_configuration(self):
s = Schwa(".")
configs = {
"commits": 100,
"features_weights": {
"revisions": 0.2,
"fixes": 0.3,
"authors": 0.5
}
}
max_commits = None
max_commits = s.configure_yaml(configs, max_commits)
self.assertEqual(max_commits, 100)
self.assertEqual(Metrics.REVISIONS_WEIGHT, 0.2)
self.assertEqual(Metrics.FIXES_WEIGHT, 0.3)
self.assertEqual(Metrics.AUTHORS_WEIGHT, 0.5)
max_commits = 2
max_commits = s.configure_yaml(configs, max_commits)
self.assertEqual(max_commits, 2)
del configs["features_weights"]
self.reset_weights()
s.configure_yaml(configs, max_commits)
self.assertEqual(Metrics.REVISIONS_WEIGHT, self.r_w)
self.assertEqual(Metrics.FIXES_WEIGHT, self.f_w)
self.assertEqual(Metrics.AUTHORS_WEIGHT, self.a_w)
def run_json(args):
s = Schwa(args.repository)
analytics = s.analyze(max_commits=args.commits, parallel=not args.single)
Views.results_json(analytics)
