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test_.py
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test_.py
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import unittest
from pathlib import Path
import compute_regional_stats
import compute_stats
import create_dict_using_json
from src import appids, compute_bayesian_rating, compute_wilson_score
class TestAppidsMethods(unittest.TestCase):
def test_main(self):
assert appids.main()
class TestComputeWilsonScoreMethods(unittest.TestCase):
def test_compute_wilson_score(self):
wilson_score_value = compute_wilson_score.compute_wilson_score(
num_pos=90,
num_neg=10,
confidence=0.975,
)
assert wilson_score_value > 0
def test_main(self):
assert compute_wilson_score.main()
class TestComputeBayesianRatingMethods(unittest.TestCase):
def test_choose_prior(self):
observations = {
"Blockbuster": {"score": 0.85, "num_votes": 1000},
"Average game": {"score": 0.75, "num_votes": 100},
"Hidden gem": {"score": 0.95, "num_votes": 10},
}
bayes_prior = compute_bayesian_rating.choose_prior(observations, verbose=True)
self.assertDictEqual(bayes_prior, {"score": 0.85, "num_votes": 100})
def test_main(self):
assert compute_bayesian_rating.main()
class TestCreateDictUsingJsonMethods(unittest.TestCase):
def test_main(self):
assert create_dict_using_json.main()
class TestComputeRegionalStatsMethods(unittest.TestCase):
def test_run_regional_workflow_wilson_reviews(self):
quality_measure_str = (
"wilson_score" # Either 'wilson_score' or 'bayesian_rating'
)
popularity_measure_str = "num_reviews" # Either 'num_reviews' or 'num_owners'
assert compute_regional_stats.run_regional_workflow(
quality_measure_str=quality_measure_str,
popularity_measure_str=popularity_measure_str,
perform_optimization_at_runtime=True,
num_top_games_to_print=50,
verbose=False,
keywords_to_include=None,
keywords_to_exclude=None,
load_from_cache=True,
compute_prior_on_whole_steam_catalog=False,
compute_language_specific_prior=False,
)
def test_run_regional_workflow_wilson_owners(self):
quality_measure_str = (
"wilson_score" # Either 'wilson_score' or 'bayesian_rating'
)
popularity_measure_str = "num_owners" # Either 'num_reviews' or 'num_owners'
assert compute_regional_stats.run_regional_workflow(
quality_measure_str=quality_measure_str,
popularity_measure_str=popularity_measure_str,
perform_optimization_at_runtime=True,
num_top_games_to_print=50,
verbose=False,
keywords_to_include=None,
keywords_to_exclude=None,
load_from_cache=True,
compute_prior_on_whole_steam_catalog=False,
compute_language_specific_prior=False,
)
def test_run_regional_workflow_bayes_reviews(self):
quality_measure_str = (
"bayesian_rating" # Either 'wilson_score' or 'bayesian_rating'
)
popularity_measure_str = "num_reviews" # Either 'num_reviews' or 'num_owners'
assert compute_regional_stats.run_regional_workflow(
quality_measure_str=quality_measure_str,
popularity_measure_str=popularity_measure_str,
perform_optimization_at_runtime=True,
num_top_games_to_print=50,
verbose=False,
keywords_to_include=None,
keywords_to_exclude=None,
load_from_cache=True,
compute_prior_on_whole_steam_catalog=False,
compute_language_specific_prior=True,
)
def test_run_regional_workflow_bayes_owners(self):
quality_measure_str = (
"bayesian_rating" # Either 'wilson_score' or 'bayesian_rating'
)
popularity_measure_str = "num_owners" # Either 'num_reviews' or 'num_owners'
assert compute_regional_stats.run_regional_workflow(
quality_measure_str=quality_measure_str,
popularity_measure_str=popularity_measure_str,
perform_optimization_at_runtime=True,
num_top_games_to_print=50,
verbose=True,
keywords_to_include=None,
keywords_to_exclude=None,
load_from_cache=True,
compute_prior_on_whole_steam_catalog=False,
compute_language_specific_prior=True,
)
def test_run_regional_workflow_bayes_reviews_with_hidden_gem_constant_prior(self):
quality_measure_str = (
"bayesian_rating" # Either 'wilson_score' or 'bayesian_rating'
)
popularity_measure_str = "num_reviews" # Either 'num_reviews' or 'num_owners'
assert compute_regional_stats.run_regional_workflow(
quality_measure_str=quality_measure_str,
popularity_measure_str=popularity_measure_str,
perform_optimization_at_runtime=True,
num_top_games_to_print=50,
verbose=False,
keywords_to_include=None,
keywords_to_exclude=None,
load_from_cache=True,
compute_prior_on_whole_steam_catalog=False,
compute_language_specific_prior=False,
)
def test_run_regional_workflow_bayes_owners_with_hidden_gem_constant_prior(self):
quality_measure_str = (
"bayesian_rating" # Either 'wilson_score' or 'bayesian_rating'
)
popularity_measure_str = "num_owners" # Either 'num_reviews' or 'num_owners'
assert compute_regional_stats.run_regional_workflow(
quality_measure_str=quality_measure_str,
popularity_measure_str=popularity_measure_str,
perform_optimization_at_runtime=True,
num_top_games_to_print=50,
verbose=True,
keywords_to_include=None,
keywords_to_exclude=None,
load_from_cache=True,
compute_prior_on_whole_steam_catalog=False,
compute_language_specific_prior=False,
)
def test_run_regional_workflow_bayes_reviews_with_global_constant_prior(self):
quality_measure_str = (
"bayesian_rating" # Either 'wilson_score' or 'bayesian_rating'
)
popularity_measure_str = "num_reviews" # Either 'num_reviews' or 'num_owners'
assert compute_regional_stats.run_regional_workflow(
quality_measure_str=quality_measure_str,
popularity_measure_str=popularity_measure_str,
perform_optimization_at_runtime=True,
num_top_games_to_print=50,
verbose=False,
keywords_to_include=None,
keywords_to_exclude=None,
load_from_cache=True,
compute_prior_on_whole_steam_catalog=True,
compute_language_specific_prior=False,
)
def test_run_regional_workflow_bayes_owners_with_global_constant_prior(self):
quality_measure_str = (
"bayesian_rating" # Either 'wilson_score' or 'bayesian_rating'
)
popularity_measure_str = "num_owners" # Either 'num_reviews' or 'num_owners'
assert compute_regional_stats.run_regional_workflow(
quality_measure_str=quality_measure_str,
popularity_measure_str=popularity_measure_str,
perform_optimization_at_runtime=True,
num_top_games_to_print=50,
verbose=True,
keywords_to_include=None,
keywords_to_exclude=None,
load_from_cache=True,
compute_prior_on_whole_steam_catalog=True,
compute_language_specific_prior=False,
)
class TestComputeStatsMethods(unittest.TestCase):
def test_run_workflow_wilson_reviews(self):
create_dict_using_json.main()
assert compute_stats.run_workflow(
quality_measure_str="wilson_score",
popularity_measure_str="num_reviews",
perform_optimization_at_runtime=False,
num_top_games_to_print=50,
verbose=True,
)
def test_run_workflow_wilson_owners(self):
create_dict_using_json.main()
assert compute_stats.run_workflow(
quality_measure_str="wilson_score",
popularity_measure_str="num_owners",
perform_optimization_at_runtime=False,
num_top_games_to_print=50,
verbose=True,
)
def test_run_workflow_bayes_reviews(self):
create_dict_using_json.main()
assert compute_stats.run_workflow(
quality_measure_str="bayesian_rating",
popularity_measure_str="num_reviews",
perform_optimization_at_runtime=False,
num_top_games_to_print=50,
verbose=True,
)
def test_run_workflow_bayes_owners(self):
create_dict_using_json.main()
assert compute_stats.run_workflow(
quality_measure_str="bayesian_rating",
popularity_measure_str="num_owners",
perform_optimization_at_runtime=False,
num_top_games_to_print=50,
verbose=True,
)
def test_run_workflow_filtering_in(self):
create_dict_using_json.main()
assert compute_stats.run_workflow(
quality_measure_str="wilson_score",
popularity_measure_str="num_reviews",
perform_optimization_at_runtime=False,
num_top_games_to_print=50,
verbose=True,
language=None,
keywords_to_include=["Early Access", "Free To Play"],
keywords_to_exclude=None,
)
def test_run_workflow_while_removing_reference_hidden_gems(self):
create_dict_using_json.main()
# A dictionary will be stored in the following text file
dict_filename = "dict_top_rated_games_on_steam.txt"
import ast
# Import the local dictionary from the input file
with Path(dict_filename).open(encoding="utf8") as infile:
lines = infile.readlines()
# The dictionary is on the second line
# noinspection PyPep8Naming
d = ast.literal_eval(lines[1])
for appid in appids.appid_hidden_gems_reference_set:
print(
f"Ensuring reference {d[appid][0]} (appID={appid}) does not appear in the final ranking.",
)
d[appid][-1] = False
# If True, UnEpic should end up about rank 1828. Otherwise, UnEpic should not appear on there.
# Save the dictionary to a text file
with Path(dict_filename).open("w", encoding="utf8") as outfile:
print(create_dict_using_json.get_leading_comment(), file=outfile)
print(d, file=outfile)
assert compute_stats.run_workflow(
quality_measure_str="wilson_score",
popularity_measure_str="num_reviews",
perform_optimization_at_runtime=False,
num_top_games_to_print=2000,
verbose=True,
language=None,
keywords_to_include=["Action", "Indie", "RPG"],
keywords_to_exclude=None,
)
def test_run_workflow_filtering_in_unknown_tag(self):
create_dict_using_json.main()
assert compute_stats.run_workflow(
quality_measure_str="wilson_score",
popularity_measure_str="num_reviews",
perform_optimization_at_runtime=False,
num_top_games_to_print=50,
verbose=False,
language=None,
keywords_to_include=["Rogue-Like"],
keywords_to_exclude=None,
)
def test_run_workflow_filtering_out(self):
create_dict_using_json.main()
assert compute_stats.run_workflow(
quality_measure_str="wilson_score",
popularity_measure_str="num_reviews",
perform_optimization_at_runtime=False,
num_top_games_to_print=50,
verbose=False,
language=None,
keywords_to_include=None,
keywords_to_exclude=["Visual Novel", "Anime"],
)
def test_run_workflow_wilson_owners_optimized_at_runtime(self):
create_dict_using_json.main()
assert compute_stats.run_workflow(
quality_measure_str="wilson_score",
popularity_measure_str="num_owners",
perform_optimization_at_runtime=True,
num_top_games_to_print=50,
verbose=False,
)
def test_main(self):
create_dict_using_json.main()
assert compute_stats.main()
if __name__ == "__main__":
unittest.main()