class LocalSystemTest(unittest.TestCase):
def setUp(self):
self.user = LocalSystem()
def test_get_time_score_invalid_file(self):
result = self.user.get_time_score('invalid_path')
self.assertFalse(result)
self.assertEqual(len(result), 0)
def get_user(self, no_auto_pkg_profile):
config = Config()
user = LocalSystem()
user.filter_pkg_profile(os.path.join(config.filters_dir,
"desktopapps"))
user.maximal_pkg_profile()
if no_auto_pkg_profile:
user.no_auto_pkg_profile()
return user
class LocalSystemTest(unittest.TestCase):
def setUp(self):
self.user = LocalSystem()
def test_get_time_score_invalid_file(self):
result = self.user.get_time_score('invalid_path')
self.assertFalse(result)
self.assertEqual(len(result), 0)
def get_user(self, no_auto_pkg_profile):
config = Config()
user = LocalSystem()
user.filter_pkg_profile(
os.path.join(config.filters_dir, "desktopapps"))
user.maximal_pkg_profile()
if no_auto_pkg_profile:
user.no_auto_pkg_profile()
return user
def create_pkg_data(self):
user = LocalSystem()
user.maximal_pkg_profile()
user.no_auto_pkg_profile()
user_pkgs = user.pkg_profile
pkgs_time = self.get_packages_time(user_pkgs)
self.save_package_time(pkgs_time)
return pkgs_time
def reset(self, params, rep):
if params['name'].startswith("content"):
cfg = Config()
# if the index was not built yet
# app_axi = AppAptXapianIndex(cfg.axi,"results/arnaldo/AppAxi")
cfg.axi = "data/AppAxi"
cfg.index_mode = "old"
cfg.weight = params['weight']
self.rec = Recommender(cfg)
self.rec.set_strategy(params['strategy'])
self.repo_size = self.rec.items_repository.get_doccount()
self.user = LocalSystem()
self.user.app_pkg_profile(self.rec.items_repository)
self.sample_size = int(
len(self.user.pkg_profile) * params['sample'])
class LocalSystemTest(unittest.TestCase):
def setUp(self):
self.user = LocalSystem()
@patch('commands.getoutput')
@patch('glob.glob', return_value=['test'])
def test_get_apt_installed_pkgs(self, mock_glob, mock_command):
mock_command.return_value = 'Commandline: apt install test1 test2\n'
apt_pkgs = self.user.get_apt_installed_pkgs()
self.assertEqual(2, len(apt_pkgs))
self.assertIn('test1', apt_pkgs)
self.assertIn('test2', apt_pkgs)
mock_command.return_value = 'Commandline: apt remove test1 test2\n'
apt_pkgs = self.user.get_apt_installed_pkgs()
self.assertEqual(0, len(apt_pkgs))
mock_command.return_value = 'Commandline: apt upgrade\n'
apt_pkgs = self.user.get_apt_installed_pkgs()
self.assertEqual(0, len(apt_pkgs))
import sys
sys.path.insert(0, '../')
import logging
import datetime
from apprecommender.config import Config
from apprecommender.recommender import Recommender
from apprecommender.user import LocalSystem
from apprecommender.error import Error
if __name__ == '__main__':
try:
cfg = Config()
rec = Recommender(cfg)
user = LocalSystem()
user.no_auto_pkg_profile()
# user.maximal_pkg_profile()
begin_time = datetime.datetime.now()
logging.debug("Recommendation computation started at %s" % begin_time)
print rec.get_recommendation(user)
end_time = datetime.datetime.now()
logging.debug("Recommendation computation completed at %s" % end_time)
delta = end_time - begin_time
logging.info("Time elapsed: %d seconds." % delta.seconds)
except Error:
logging.critical("Aborting proccess. Use '--debug' for more details.")
def setUp(self):
self.user = LocalSystem()
import logging
import datetime
from apprecommender.config import Config
from apprecommender.evaluation import (Precision, Recall, F1, Accuracy,
SimpleAccuracy, CrossValidation)
from apprecommender.recommender import Recommender
from apprecommender.user import LocalSystem
from apprecommender.error import Error
if __name__ == '__main__':
try:
cfg = Config()
rec = Recommender(cfg)
print "\nRecommender strategy: ", rec.strategy.description
user = LocalSystem()
# user.app_pkg_profile(rec.items_repository)
user.no_auto_pkg_profile()
begin_time = datetime.datetime.now()
logging.debug("Cross-validation started at %s" % begin_time)
metrics = []
metrics.append(Precision())
metrics.append(Recall())
metrics.append(F1())
metrics.append(Accuracy())
metrics.append(SimpleAccuracy())
validation = CrossValidation(0.9, 10, rec, metrics, 0.1)
validation.run(user)
print validation
class ContentBasedSuite(expsuite.PyExperimentSuite):
def reset(self, params, rep):
if params['name'].startswith("content"):
cfg = Config()
# if the index was not built yet
# app_axi = AppAptXapianIndex(cfg.axi,"results/arnaldo/AppAxi")
cfg.axi = "data/AppAxi"
cfg.index_mode = "old"
cfg.weight = params['weight']
self.rec = Recommender(cfg)
self.rec.set_strategy(params['strategy'])
self.repo_size = self.rec.items_repository.get_doccount()
self.user = LocalSystem()
self.user.app_pkg_profile(self.rec.items_repository)
self.sample_size = int(
len(self.user.pkg_profile) * params['sample'])
# iteration should be set to 10 in config file
# self.profile_size = range(10,101,10)
def iterate(self, params, rep, n):
if params['name'].startswith("content"):
item_score = dict.fromkeys(self.user.pkg_profile, 1)
# Prepare partition
sample = {}
for i in range(self.sample_size):
key = random.choice(item_score.keys())
sample[key] = item_score.pop(key)
# Get full recommendation
user = User(item_score)
recommendation = self.rec.get_recommendation(user, self.repo_size)
# Write recall log
recall_file = "results/content/recall/%s-%s-%.2f-%d" % \
(params['strategy'], params[
'weight'], params['sample'], n)
output = open(recall_file, 'w')
output.write("# weight=%s\n" % params['weight'])
output.write("# strategy=%s\n" % params['strategy'])
output.write("# sample=%f\n" % params['sample'])
output.write("\n%d %d %d\n" %
(self.repo_size, len(item_score), self.sample_size))
notfound = []
ranks = []
for pkg in sample.keys():
if pkg in recommendation.ranking:
ranks.append(recommendation.ranking.index(pkg))
else:
notfound.append(pkg)
for r in sorted(ranks):
output.write(str(r) + "\n")
if notfound:
output.write("Out of recommendation:\n")
for pkg in notfound:
output.write(pkg + "\n")
output.close()
# Plot metrics summary
accuracy = []
precision = []
recall = []
f1 = []
g = Gnuplot.Gnuplot()
g('set style data lines')
g.xlabel('Recommendation size')
for size in range(1, len(recommendation.ranking) + 1, 100):
predicted = RecommendationResult(
dict.fromkeys(recommendation.ranking[:size], 1))
real = RecommendationResult(sample)
evaluation = Evaluation(predicted, real, self.repo_size)
accuracy.append([size, evaluation.run(Accuracy())])
precision.append([size, evaluation.run(Precision())])
recall.append([size, evaluation.run(Recall())])
f1.append([size, evaluation.run(F1())])
g.plot(Gnuplot.Data(accuracy, title="Accuracy"),
Gnuplot.Data(precision, title="Precision"),
Gnuplot.Data(recall, title="Recall"),
Gnuplot.Data(f1, title="F1"))
g.hardcopy(recall_file + "-plot.ps", enhanced=1, color=1)
# Iteration log
result = {'iteration': n,
'weight': params['weight'],
'strategy': params['strategy'],
'accuracy': accuracy[20],
'precision': precision[20],
'recall:': recall[20],
'f1': f1[20]}
return result
def setUp(self):
self.user = LocalSystem()