# Utilities to read/write csv files
import csv
# Utilities to handle character encodings
import unicodedata
# Ordered Dicts
from collections import OrderedDict

import json


# 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/leonardocanova/Library/CloudStorage/OneDrive-UniversityofPisa(1)/Documenti/Progetti università/OVI/Programmazione/ASPO/Luoghi/'
export_dir = '/Users/leonardocanova/Library/CloudStorage/OneDrive-UniversityofPisa(1)/Documenti/Progetti università/OVI/Programmazione/ASPO/Luoghi/'


# 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
cidocCoords = RDFcoords('<http://www.cidoc-crm.org/cidoc-crm/>', 'crm:')
tgnCoords = RDFcoords('<http://vocab.getty.edu/tgn/>', 'tgn:')
nsCoords = RDFcoords('<http://www.w3.org/1999/02/22-rdf-syntax-ns#>', 'rdf:')
schemaCoords = RDFcoords('<http://www.w3.org/2000/01/rdf-schema#>', 'rdfs:')
owlCoords = RDFcoords('<http://www.w3.org/2002/07/owl#>', 'owl:')
devCoords = RDFcoords('<http://dev.restore.ovi.cnr.it/vocabularies/places/>', 'dev:')



# 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 ' + cidocCoords.prefix + ' ' + cidocCoords.uri + closeLine)
    output.write('@prefix ' + tgnCoords.prefix + ' ' + tgnCoords.uri + closeLine)
    output.write('@prefix ' + schemaCoords.prefix + ' ' + schemaCoords.uri + closeLine)
    output.write('@prefix ' + nsCoords.prefix + ' ' + nsCoords.uri + closeLine)
    output.write('@prefix ' + owlCoords.prefix + ' ' + owlCoords.uri + closeLine)
    output.write('@prefix ' + devCoords.prefix + ' ' + devCoords.uri + closeLine)

    output.write('\n')


file = "merge_luoghi_ASPO - comuni_microtoponimi_UNIQUE"
max_entries = 1000000000

with open(import_dir + file + '.csv', newline="") as csv_file, open(
        export_dir + file + '.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

        #placeHolders
        devPlaceHolder_comune = devCoords.prefix + row['ID_RESTORE_comune']
        devPlaceHolder_provincia = devCoords.prefix + row['ID_PROVINCIA']
        
        if row['ID_RESTORE_microtoponimo'] != "": 
            if row['ID_RESTORE_comune'] != "" and " ":
                devPlaceHolder_microtoponimo = devCoords.prefix + row['ID_RESTORE_microtoponimo']
                line = triple(devPlaceHolder_microtoponimo,
                      cidocCoords.prefix + 'P89_falls_within',
                      devPlaceHolder_comune) + closeLine
                output.write(line)        
            else:
                if row ['ID_PROVINCIA'] != "" and " ":
                    line = triple(devPlaceHolder_microtoponimo,
                        cidocCoords.prefix + 'P89_falls_within',
                        devPlaceHolder_provincia) + closeLine
                    output.write(line)
                         
        output.write('\n')
        #
        #
        # Limit number of entries processed (if desired)
        if (ii > max_entries):
            break