def add_citation_identity(self, ci, only_fast_match_methods = True):
"""According to records in ZBL file (self.main_zbl_path) and id-maps (self.mr_to_id_map, self.zbl_to_id_map)
tries to assign identity (<an> field) to citation (given as a dictionary)."""
self.__match_identity_on_id__(ci)
if ci.has_key(zbl_io.ZBL_ID_FIELD):
#print "Assigning to citation [ID/ZBL/MR]:", ci[zbl_io.ZBL_ID_FIELD]
self.matched = self.matched + 1
return ci
elif only_fast_match_methods:
self.missed = self.missed + 1
return ci
candidates = []
f = open(self.main_zbl_path, 'r')
for record in zbl_io.read_zbl_records(f):
if ci.has_key("py") and record.has_key("py"):
if ci["py"] != record["py"]:
continue
if self.similarity_operator(record, ci):
candidates.append(aux_zbl_record)
f.close()
if len(candidates) == 0:
self.missed = self.missed + 1
return ci
matching_record = zbl_similarity.select_best_fitting_record(ci, candidates, self.selection_fields)
ci[zbl_io.ZBL_ID_FIELD] = matching_record[zbl_io.ZBL_ID_FIELD]
#print "Assigning to citation [SIMILARITY]:", ci[zbl_io.ZBL_ID_FIELD]
self.matched = self.matched + 1
return ci
def find_most_similar_zbl_record(self, main_zbl_record):
"""Walks through the list of loaded (self.aux_zbl_recs_list)
(aux) records and searches for zbl record
that self.similarity_operator(rec1, rec2) states as similar to main_zbl_record.
If more than one found then the most similar is selected.
The most similar means the one that has the smallest edit distance calculated on self.selection_fields."""
candidates = []
if main_zbl_record.has_key("py"):
#check all publications with this year:
for aux_zbl_record in self.aux_zbl_recs_dict_py.get(main_zbl_record["py"], []):
if self.similarity_operator(main_zbl_record, aux_zbl_record):
candidates.append(aux_zbl_record)
#check all the publications without year:
for aux_zbl_record in self.aux_zbl_recs_list_no_py:
if self.similarity_operator(main_zbl_record, aux_zbl_record):
candidates.append(aux_zbl_record)
else:
#check all the publications
for aux_zbl_record in self.aux_zbl_recs_list:
if self.similarity_operator(main_zbl_record, aux_zbl_record):
candidates.append(aux_zbl_record)
if len(candidates) == 0:
return None
matching_record = zbl_similarity.select_best_fitting_record(main_zbl_record, candidates, self.selection_fields)
#print "[find_most_similar_zbl_record] matching:", main_zbl_record[zbl_io.ZBL_ID_FIELD], "&", matching_record[zbl_io.ZBL_ID_FIELD], "out of", [r[zbl_io.ZBL_ID_FIELD] for r in candidates]
return matching_record
def add_citation_identity(self, ci, only_fast_match_methods=True):
"""According to records in ZBL file (self.main_zbl_path) and id-maps (self.mr_to_id_map, self.zbl_to_id_map)
tries to assign identity (<an> field) to citation (given as a dictionary)."""
self.__match_identity_on_id__(ci)
if ci.has_key(zbl_io.ZBL_ID_FIELD):
#print "Assigning to citation [ID/ZBL/MR]:", ci[zbl_io.ZBL_ID_FIELD]
self.matched = self.matched + 1
return ci
elif only_fast_match_methods:
self.missed = self.missed + 1
return ci
candidates = []
f = open(self.main_zbl_path, 'r')
for record in zbl_io.read_zbl_records(f):
if ci.has_key("py") and record.has_key("py"):
if ci["py"] != record["py"]:
continue
if self.similarity_operator(record, ci):
candidates.append(aux_zbl_record)
f.close()
if len(candidates) == 0:
self.missed = self.missed + 1
return ci
matching_record = zbl_similarity.select_best_fitting_record(
ci, candidates, self.selection_fields)
ci[zbl_io.ZBL_ID_FIELD] = matching_record[zbl_io.ZBL_ID_FIELD]
#print "Assigning to citation [SIMILARITY]:", ci[zbl_io.ZBL_ID_FIELD]
self.matched = self.matched + 1
return ci
def find_most_similar_zbl_record(self, main_zbl_record):
"""Walks through the list of loaded (self.aux_zbl_recs_list)
(aux) records and searches for zbl record
that self.similarity_operator(rec1, rec2) states as similar to main_zbl_record.
If more than one found then the most similar is selected.
The most similar means the one that has the smallest edit distance calculated on self.selection_fields."""
candidates = []
if main_zbl_record.has_key("py"):
#check all publications with this year:
for aux_zbl_record in self.aux_zbl_recs_dict_py.get(
main_zbl_record["py"], []):
if self.similarity_operator(main_zbl_record, aux_zbl_record):
candidates.append(aux_zbl_record)
#check all the publications without year:
for aux_zbl_record in self.aux_zbl_recs_list_no_py:
if self.similarity_operator(main_zbl_record, aux_zbl_record):
candidates.append(aux_zbl_record)
else:
#check all the publications
for aux_zbl_record in self.aux_zbl_recs_list:
if self.similarity_operator(main_zbl_record, aux_zbl_record):
candidates.append(aux_zbl_record)
if len(candidates) == 0:
return None
matching_record = zbl_similarity.select_best_fitting_record(
main_zbl_record, candidates, self.selection_fields)
#print "[find_most_similar_zbl_record] matching:", main_zbl_record[zbl_io.ZBL_ID_FIELD], "&", matching_record[zbl_io.ZBL_ID_FIELD], "out of", [r[zbl_io.ZBL_ID_FIELD] for r in candidates]
return matching_record
