def execute_query(dataset_file, results_file, engine, m_relation, driver):
keywords = []
results = []
#open dataset file
with open(dataset_file, "r") as dataset:
#get keywords
keywords = util.random_keywords(dataset)
#gathering results for any metamorphic relation
if m_relation == "MPublished":
results = metamorphic_relations.MPublished(engine, keywords, driver)
if m_relation == "MPTitle":
results = metamorphic_relations.MPTitle(engine, keywords, driver)
if (m_relation == "MPReverseJD") or (m_relation == "SwapJD"):
results = metamorphic_relations.MPReverseJD_SwapJD(
engine, keywords, driver)
if m_relation == "Top1Absent":
results = metamorphic_relations.Top1Absent(engine, keywords, driver)
#saving results into CSV file
with open(results_file, "a") as sheet_results:
out = csv.writer(sheet_results, delimiter=',', quoting=csv.QUOTE_ALL)
out.writerow(results)
def execute_query(dataset_file, results_file, engine, m_relation, driver):
keywords = []
results = []
#open dataset file
with open(dataset_file, "r") as dataset:
#get keywords
keywords = util.random_keywords(dataset)
#gathering results for any metamorphic relation
if m_relation == "MPublished":
results, condition = metamorphic_relations.MPublished(engine, keywords, driver)
if m_relation == "MPTitle":
results, condition = metamorphic_relations.MPTitle(engine, keywords, driver)
if (m_relation == "MPReverseJD") or (m_relation == "MPShuffleJD"):
results, condition = metamorphic_relations.MPShuffleJD(engine, keywords, driver)
if m_relation == "Top1Absent":
results, condition = metamorphic_relations.Top1Absent(engine, keywords, driver)
#condition is a boolean value that stands if the execution happened as expected (we abort executions that went worong. Eg.: Scidirect strings > 255 chars)
if condition:
#saving results into CSV file
with open(results_file, "a", encoding='utf-8') as sheet_results:
out = csv.writer(sheet_results, delimiter=',',quoting=csv.QUOTE_ALL)
out.writerow(results)
def test_create_search_string():
path_file = os.getcwd() + "/dataset/keywords_sample.csv"
with open(path_file, "r") as afile:
keywords = util.random_keywords(afile)
result = engines_string_generator.ieee_string(
keywords, title="Some title of test")
print("IEEE|Springer String: %s" % (result))
result = engines_string_generator.spring_string(
keywords, title="Some title of test")
print("Springer String: %s" % (result))
result = engines_string_generator.scopus_string(
keywords, title="Some title of test")
print("Scopus String: %s" % (result))
result = engines_string_generator.sciente_direct_string(
keywords, title="Some title of test")
print("Science Direct String: %s" % (result))
result = engines_string_generator.acm_string(
keywords, title="Some title of test")
print("ACM String: %s" % (result))
def test_random_keywords():
path_file = os.getcwd() + "/dataset/keywords_sample.csv"
with open(path_file, "r") as afile:
keywords = util.random_keywords(afile)
print(("A random keywords list from a file: %s") % (keywords))
def test_random_keywords(self):
path_file = os.getcwd() + "/dataset/keywords_sample.csv"
with open(path_file, "r") as afile:
keywords = util.random_keywords(afile)
print(("A random keywords list from a file: %s") % (keywords))
self.assertTrue(isinstance(keywords, list))