def testScoringWithTimes(self):
self._setup()
scorer = MigrationScorer({
'user_priority_weighting': [5.0, 2.0, 1.0, 0.5, 0.2],
'file_size_weighting': 1.0,
'file_access_weighting': 1.0,
'file_age_weighting': 1.0,
'file_size_threshold': 0,
'file_access_threshold': 0,
'file_age_threshold': 1})
self.assertEquals(0.0, scorer.datafile_score(self.df1))
f = tempfile.NamedTemporaryFile(dir=settings.FILE_STORE_PATH)
f.write("Hi Mom!!\n")
self.df1.url = f.name
self.assertEquals(2.0, scorer.datafile_score(self.df1))
older = time.time() - (60 * 60 * 24 + 300)
os.utime(f.name, (older, older))
self.assertEquals(3.0, scorer.datafile_score(self.df1))
older = time.time() - (60 * 60 * 24 * 2 + 300)
os.utime(f.name, (older, older))
self.assertEquals(5.0, scorer.datafile_score(self.df1))
f.close()
def testScoringWithTimes(self):
self._setup()
scorer = MigrationScorer(
Location.get_location('local').id, {
'user_priority_weighting': [5.0, 2.0, 1.0, 0.5, 0.2],
'file_size_weighting': 1.0,
'file_access_weighting': 1.0,
'file_age_weighting': 1.0,
'file_size_threshold': 0,
'file_access_threshold': 0,
'file_age_threshold': 1
})
self.assertEquals(0.0, scorer.datafile_score(self.df1))
f = tempfile.NamedTemporaryFile(dir=settings.FILE_STORE_PATH)
f.write("Hi Mom!!\n")
rep = Replica.objects.get(pk=self.rep1.pk)
rep.url = f.name
rep.save()
self.assertEquals(2.0, scorer.datafile_score(self.df1))
older = time.time() - (60 * 60 * 24 + 300)
os.utime(f.name, (older, older))
self.assertEquals(3.0, scorer.datafile_score(self.df1))
older = time.time() - (60 * 60 * 24 * 2 + 300)
os.utime(f.name, (older, older))
self.assertEquals(5.0, scorer.datafile_score(self.df1))
f.close()
def _do_score_all(self):
scorer = MigrationScorer(settings.MIGRATION_SCORING_PARAMS)
return scorer.score_all_datafiles()
def testScoring(self):
self._setup()
scorer = MigrationScorer()
self.assertEquals(2.0, scorer.datafile_score(self.df1))
self.assertEquals(2, get_user_priority(self.user1))
self.assertEquals(1, get_user_priority(self.user2))
self.assertEquals(1.0, scorer.user_score(self.user1))
self.assertEquals(2.0, scorer.user_score(self.user2))
self.assertEquals(2.0, scorer.experiment_score(self.exp1))
self.assertEquals(2.0, scorer.dataset_score(self.df1.dataset))
self.assertEquals(4.0, scorer.score_datafile(self.df1))
self.assertEquals([(self.df1, 4.0)],
scorer.score_datafiles_in_dataset(self.ds1))
self.assertEquals([(self.df5, 8.0), (self.df4, 6.0), (self.df1, 4.0)],
scorer.score_datafiles_in_experiment(self.exp1))
self.assertEquals([(self.df5, 8.0), (self.df4, 6.0)],
scorer.score_datafiles_in_experiment(self.exp2))
self.assertEquals([(self.df6, 5.0)],
scorer.score_datafiles_in_experiment(self.exp3))
self.assertEquals([(self.df5, 8.0), (self.df4, 6.0), (self.df6, 5.0),
(self.df1, 4.0), (self.df7, 0.0), (self.df8, 0.0)],
scorer.score_all_datafiles())
self.assertEquals([(self.df7, 0.0), (self.df8, 0.0)],
scorer.score_datafiles_in_dataset(self.ds4))
def _do_score_all(self):
scorer = MigrationScorer(self.source.id,
settings.MIGRATION_SCORING_PARAMS)
return scorer.score_all_datafiles()
def testScoring(self):
self._setup()
scorer = MigrationScorer(Location.get_location('local').id)
self.assertEquals(2.0, scorer.datafile_score(self.df1))
self.assertEquals(2, get_user_priority(self.user1))
self.assertEquals(1, get_user_priority(self.user2))
self.assertEquals(1.0, scorer.user_score(self.user1))
self.assertEquals(2.0, scorer.user_score(self.user2))
self.assertEquals(2.0, scorer.experiment_score(self.exp1))
self.assertEquals(2.0, scorer.dataset_score(self.df1.dataset))
self.assertEquals(4.0, scorer.score_datafile(self.df1))
self.assertEquals([(self.df1, self.rep1, 4.0)],
scorer.score_datafiles_in_dataset(self.ds1))
self.assertEquals([(self.df5, self.rep5, 8.0),
(self.df4, self.rep4, 6.0),
(self.df1, self.rep1, 4.0)],
scorer.score_datafiles_in_experiment(self.exp1))
self.assertEquals([(self.df5, self.rep5, 8.0),
(self.df4, self.rep4, 6.0)],
scorer.score_datafiles_in_experiment(self.exp2))
self.assertEquals([(self.df6, self.rep6, 5.0)],
scorer.score_datafiles_in_experiment(self.exp3))
self.assertEquals([(self.df5, self.rep5, 8.0),
(self.df4, self.rep4, 6.0),
(self.df6, self.rep6, 5.0),
(self.df1, self.rep1, 4.0),
(self.df7, self.rep7, 0.0),
(self.df8, self.rep8, 0.0)],
scorer.score_all_datafiles())
self.assertEquals([(self.df7, self.rep7, 0.0),
(self.df8, self.rep8, 0.0)],
scorer.score_datafiles_in_dataset(self.ds4))