#Parser to convert the Datini onomastics CSV file into TTL format # Utilities to read/write csv files import csv # Utilities to handle character encodings import unicodedata # Ordered Dicts from collections import OrderedDict import json import re # OPZIONAL IMPORTS # For timestamping/simple speed tests from datetime import datetime # Random number generator from random import * # System & command line utilities import sys # Json for the dictionary import json import_dir = '/Users/federicaspinelli/Google Drive/OVI-CNR/CSV/ASPO/ospedale/' export_dir = '/Users/federicaspinelli/Google Drive/OVI-CNR/RDF/ASPO/ospedale/' # Custom class to store URIs + related infos for the ontologies/repositories class RDFcoords: def __init__(self, uri, prefix, code = None): self.uri = uri self.prefix = prefix self.code = code # Repositories aspoCoords = RDFcoords('', 'aspo:') foafCoords = RDFcoords('', 'foaf:') cidocCoords = RDFcoords('', 'crm:') schemaCoords = RDFcoords('', 'schema:') personCoords = RDFcoords('', 'person:') nsCoords = RDFcoords('', 'rdf:') rdfsCoords = RDFcoords('', 'rdfs:') # Basic functions for triples / shortened triples in TTL format def triple(subject, predicate, object1): line = subject + ' ' + predicate + ' ' + object1 return line def doublet(predicate, object1): line = ' ' + predicate + ' ' + object1 return line def singlet(object1): line = ' ' + object1 return line # Line endings in TTL format continueLine1 = ' ;\n' continueLine2 = ' ,\n' closeLine = ' .\n' def writeTTLHeader(output): output.write('@prefix ' + aspoCoords.prefix + ' ' + aspoCoords.uri + closeLine) output.write('@prefix ' + foafCoords.prefix + ' ' + foafCoords.uri + closeLine) output.write('@prefix ' + cidocCoords.prefix + ' ' + cidocCoords.uri + closeLine) output.write('@prefix ' + personCoords.prefix + ' ' + personCoords.uri + closeLine) output.write('@prefix ' + schemaCoords.prefix + ' ' + schemaCoords.uri + closeLine) output.write('@prefix ' + nsCoords.prefix + ' ' + nsCoords.uri + closeLine) output.write('@prefix ' + rdfsCoords.prefix + ' ' + rdfsCoords.uri + closeLine) output.write('\n') filePrefix = 'onomastica_' fileType = 'ospedale' max_entries = 1000000000 with open(import_dir + filePrefix + fileType + '.csv', newline="") as csv_file, open( export_dir + filePrefix + fileType + '.ttl', 'w') as output: reader = csv.DictReader(csv_file) writeTTLHeader(output) first = True ii = 0 for row in reader: # The index ii is used to process a limited number of entries for testing purposes ii = ii + 1 if row['entityType'] == 'person': id_aspo = row['recordId'] #placeHolders aspoPlaceHolder = aspoCoords.prefix + id_aspo line = triple(aspoPlaceHolder, nsCoords.prefix + 'type', cidocCoords.prefix + 'E21_Person') + closeLine output.write(line) line = triple(aspoPlaceHolder, nsCoords.prefix + 'type', personCoords.prefix + 'Person') + closeLine output.write(line) line = triple(aspoPlaceHolder, nsCoords.prefix + 'type', foafCoords.prefix + 'person') + closeLine output.write(line) line = triple(aspoPlaceHolder, cidocCoords.prefix + 'P1_is_identified_by', aspoPlaceHolder + "_E42") + closeLine output.write(line) line = triple(aspoPlaceHolder + "_E42", nsCoords.prefix + 'type', cidocCoords.prefix + 'E42_Identifier') + closeLine output.write(line) line = triple(aspoPlaceHolder + "_E42", rdfsCoords.prefix + 'label', '\"' + id_aspo + '\"') + closeLine output.write(line) line = triple(aspoPlaceHolder, foafCoords.prefix + 'name', '\"' + row['nameEntry@normal'] + '\"') + closeLine output.write(line) line = triple(aspoPlaceHolder, rdfsCoords.prefix + 'label', '\"' + row['nameEntry@normal'] + '\"') + closeLine output.write(line) if row['nome proprio'] != '': #Remove all white-space characters: txt = row['nome proprio'] x = re.sub(" \n", "", txt) y = re.sub("\s\s", "", x) line = triple(aspoPlaceHolder, foafCoords.prefix + 'givenName', '\"' + y + '\"') + closeLine output.write(line) if row['nome di famiglia'] != '': #Remove all white-space characters: txt = row['nome di famiglia'] x = re.sub("\n", " ", txt) y = re.sub("\s\s", "", x) line = triple(aspoPlaceHolder, foafCoords.prefix + 'familyName', '\"' + y + '\"') + closeLine output.write(line) if row['Alias'] != '' and row['Alias'] != ' ': #Remove all white-space characters: txt = row['Alias'] x = re.sub("\n", " ", txt) y = re.sub("\s\s", "", x) line = triple(aspoPlaceHolder, schemaCoords.prefix + 'alternateName', '\"' + y + '\"') + closeLine output.write(line) if row['genere'] != '': #Remove all white-space characters: txt = row['genere'] x = re.sub("\n", " ", txt) y = re.sub("\s\s", "", x) line = triple(aspoPlaceHolder, foafCoords.prefix + 'gender', '\"' + y + '\"') + closeLine output.write(line) if row['patronimico/matronimico'] != '': #Remove all white-space characters: txt = row['patronimico/matronimico'] x = re.sub("\n", " ", txt) y = re.sub("\s\s", "", x) line = triple(aspoPlaceHolder, personCoords.prefix + 'patronymicName', '\"' + y + '\"') + closeLine output.write(line) if row['occupation'] != '' and row['occupation'] != ' ' : #Remove all white-space characters: txt = row['occupation'] x = re.sub("\n", " ", txt) y = re.sub("\s\s", "", x) occ = re.sub(r'[^A-Za-z]','', y) occupationPlaceHolder = '' line = triple(aspoPlaceHolder, schemaCoords.prefix + 'hasOccupation', occupationPlaceHolder) + closeLine output.write(line) line = triple(occupationPlaceHolder, nsCoords.prefix + 'type', schemaCoords.prefix + 'Occupation') + closeLine output.write(line) line = triple(occupationPlaceHolder, rdfsCoords.prefix + 'label', '\"' + y + '\"') + closeLine output.write(line) if row['avo 1'] != '': avo1 = '" line = triple(aspoPlaceHolder, schemaCoords.prefix + 'relatedTo', avo1) + closeLine output.write(line) line = triple(avo1, nsCoords.prefix + 'type', foafCoords.prefix + 'Person') + closeLine output.write(line) line = triple(avo1, rdfsCoords.prefix + 'label', '\"' + row['avo 1'] + '\"') + closeLine output.write(line) if row['avo 2'] != '': avo2 = '" line = triple(aspoPlaceHolder, schemaCoords.prefix + 'relatedTo', avo2) + closeLine output.write(line) line = triple(avo2, nsCoords.prefix + 'type', foafCoords.prefix + 'Person') + closeLine output.write(line) line = triple(avo2, rdfsCoords.prefix + 'label', '\"' + row['avo 2'] + '\"') + closeLine output.write(line) if row['Qualifica'] != '': #Remove all white-space characters: txt = row['Qualifica'] x = re.sub("\n", " ", txt) y = re.sub("\s\s", " ", x) line = triple(aspoPlaceHolder, schemaCoords.prefix + 'honorificPrefix', '\"' + y + '\"') + closeLine output.write(line) #if row['place_occupation_Qualifica'] != '': #Remove all white-space characters: # txt = row['place_occupation_Qualifica'] # x = re.sub("\n", " ", txt) # y = re.sub("\s\s", "", x) # line = triple(aspoPlaceHolder, # schemaCoords.prefix + 'workLocation', # '\"' + row['place_occupation_Qualifica'].replace('\\','\\\\').replace('"','\\"') + '\"') + closeLine # output.write(line) if row['biogHist p'] != '': #Remove all white-space characters: txt = row['biogHist p'] x = re.sub("\n", " ", txt) y = re.sub("\s\s", " ", x) note = re.sub("\"", "", x) line = triple(aspoPlaceHolder, cidocCoords.prefix + 'P3_has_note', '\"' + note + '\"') + closeLine output.write(line) output.write('\n') # # # Limit number of entries processed (if desired) if (ii > max_entries): break