def test_merge_subset_new_recs_case(self):
for i in range(0,10):
if i < 3: # Assign the last signature to the first person.
run_sql(self.query, (self.cluster + ".1", self.sigs[i][0],
self.sigs[i][1], self.sigs[i][2]))
elif i > 7:
run_sql(self.query, (self.cluster + ".2", self.sigs[i][0],
self.sigs[i][1], self.sigs[i][2]))
# Two extra records one per author!
last_bibref = get_last_bibref_value()
last_recid = get_last_recid()
sig = ["100", last_bibref +1, last_recid + 1]
run_sql(self.query, (self.cluster + ".1", "100", last_bibref +1,
last_recid + 1))
run_sql(self.query, (self.cluster + ".2", "100", last_bibref +2,
last_recid + 2))
self.merge_func()
first_author_sigs = self.sigs[0:5]
recs_one = set([sig[2] for sig in first_author_sigs])
second_author_sigs = self.sigs[5:10]
recs_two = set([sig[2] for sig in second_author_sigs])
self.assertMergeResults(recs_one, recs_two)
def setUp(self):
'''
We create ten records for two authors of the same surname (cluster).
Then we create an artificial result that may as well have been created by tortoise.
'''
super(BibauthoridSymetricMergerTestCase, self).setUp()
for i in range(0,10):
last_bibref = get_last_bibref_value()
last_recid = get_last_recid()
sig = ["100", last_bibref +1, last_recid + 1]
if i < 5: # The first 3 papers to the first author.
add_signature(sig, self.first_author_name, self.author_id_one)
else: # The other 7 to the second author.
add_signature(sig, self.second_author_name, self.author_id_two)
self.sigs.append(sig)
def setUp(self):
super(BibauthoridAsymetricRejectMergerTestCase, self).setUp()
for i in range(0,10):
last_bibref = get_last_bibref_value()
last_recid = get_last_recid()
sig = ["100", last_bibref +1, last_recid + 1]
if i == 0:
add_signature(sig, self.second_author_name, self.author_id_two)
add_signature(sig, self.first_author_name, self.author_id_one)
run_sql("update aidPERSONIDPAPERS set flag=-2 where bibrec = %s and personid= %s", (sig[2], self.author_id_one))
elif i == 1:
add_signature(sig, self.second_author_name, self.author_id_two)
else:
add_signature(sig, self.first_author_name, self.author_id_one)
self.sigs.append(sig)
def setUp(self):
super(BibauthoridBibrefMergerTestCase, self).setUp()
last_bibref = get_last_bibref_value()
last_recid = get_last_recid()
# Record 1
rec_1 = last_recid + 1
sig = ["100", last_bibref + 1, rec_1]
self.sigs.append(sig)
add_signature(sig, self.first_author_name, self.author_id_one)
sig = ["100", last_bibref + 2, rec_1]
self.sigs.append(sig)
add_signature(sig, self.first_author_name, self.author_id_one)
sig = ["100", last_bibref + 3, rec_1]
self.sigs.append(sig)
rec_2 = rec_1 + 1
sig = ["100", last_bibref + 3, rec_2]
self.sigs.append(sig)
add_signature(sig, self.second_author_name, self.author_id_two)
def setUp(self):
'''
We create ten records for two authors of the same surname (cluster).
Then we create an artificial result that may as well have been created by tortoise.
'''
super(BibauthoridSplitMergerTestCase, self).setUp()
for i in range(0,10):
last_bibref = get_last_bibref_value()
last_recid = get_last_recid()
sig = ["100", last_bibref +1, last_recid + 1]
add_signature(sig, self.first_author_name, self.author_id_one)
self.sigs.append(sig)
for i in range(0,10):
if i < 5:
run_sql(self.query, (self.cluster + ".1", self.sigs[i][0],
self.sigs[i][1], self.sigs[i][2]))
else:
run_sql(self.query, (self.cluster + ".2", self.sigs[i][0],
self.sigs[i][1], self.sigs[i][2]))