def handle0(subfield0):
#NAF-flavored identifiers parsed, searched
if re.match(constants.naf_re, subfield0):
lc = subfield0
lc_uri = constants.naf_base + lc
lc_prefLabel = querying.getLCprefLabel(lc_uri)
lc_score = 100
#Ask WikiData if there is match for that NAF
LCqueryout = querying.sparqlLCid(lc)
wikidata0 = LCqueryout['wikidata']
lc0 = ({
'lcnaf_uri': lc_uri,
'lc_prefLabel': lc_prefLabel,
'lc_score': lc_score
})
getty0 = LCqueryout['getty']
fast0 = LCqueryout['fast']
viaf0 = LCqueryout['viaf']
#FAST-flavored identifiers parsed, searched
elif re.match(constants.fast_re, subfield0):
fast = subfield0
fast_uri = constants.fast_base + fast.replace('fst', '')
fast_prefLabel = querying.getFASTprefLabel(fast_uri)
fast_score = 100
#Ask WikiData if there is match for that FAST
FASTqueryout = querying.sparqlFASTid(fast)
wikidata0 = FASTqueryout['wikidata']
lc0 = FASTqueryout['lc']
getty0 = FASTqueryout['getty']
fast0 = ({
'fast_uri': fast_uri,
'fast_prefLabel': fast_prefLabel,
'fast_score': fast_score
})
viaf0 = FASTqueryout['viaf']
else:
lc0 = {}
getty0 = {}
fast0 = {}
viaf0 = {}
wikidata0 = {}
out = {}
out['lc'] = [lc0]
out['wikidata'] = [wikidata0]
out['viaf'] = [viaf0]
out['getty'] = [getty0]
out['fast'] = [fast0]
return (out)
logging.debug(out)
def handle0(subfield0):
#NAF-flavored identifiers parsed, searched
if re.match(constants.naf_re, subfield0):
lc = subfield0
lc_uri = constants.naf_base + lc
lc_prefLabel = querying.getLCprefLabel(lc_uri)
lc_score = 100
#Ask WikiData if there is match for that NAF
LCqueryout = querying.sparqlLCid(lc)
wikidata0 = LCqueryout['wikidata']
lc0 = ({'lcnaf_uri': lc_uri, 'lc_prefLabel': lc_prefLabel,
'lc_score': lc_score})
getty0 = LCqueryout['getty']
fast0 = LCqueryout['fast']
viaf0 = LCqueryout['viaf']
#FAST-flavored identifiers parsed, searched
elif re.match(constants.fast_re, subfield0):
fast = subfield0
fast_uri = constants.fast_base + fast.replace('fst', '')
fast_prefLabel = querying.getFASTprefLabel(fast_uri)
fast_score = 100
#Ask WikiData if there is match for that FAST
FASTqueryout = querying.sparqlFASTid(fast)
wikidata0 = FASTqueryout['wikidata']
lc0 = FASTqueryout['lc']
getty0 = FASTqueryout['getty']
fast0 = ({'fast_uri': fast_uri,
'fast_prefLabel': fast_prefLabel,
'fast_score': fast_score})
viaf0 = FASTqueryout['viaf']
else:
lc0 = {}
getty0 = {}
fast0 = {}
viaf0 = {}
wikidata0 = {}
out = {}
out['lc'] = [lc0]
out['wikidata'] = [wikidata0]
out['viaf'] = [viaf0]
out['getty'] = [getty0]
out['fast'] = [fast0]
return(out)
logging.debug(out)
def processMarc(datafile, args, fields):
response = {}
fields = fields
reader = pymarc.MARCReader(open(datafile, 'rb'))
for record in reader:
recordID = record['001'].data
try:
title = record['245']['a'].replace(' /', '')
except TypeError:
title = None
try:
uniformTitle = record['240']['a']
except TypeError:
uniformTitle = None
try:
stmtOfResp = record['245']['c']
except TypeError:
stmtOfResp = None
try:
topics = []
for topic in record.get_fields('650'):
topics.append(topic.format_field().replace(' -- ', '--'))
except TypeError:
topics = None
for field in fields:
for name in record.get_fields(field):
resp = dict()
#If has something to not make a personal name, skip
if not name['t'] and not name['v'] and not name['x']:
query = name.format_field()
query_norm = name['a']
if "," in query_norm and name.indicator1 == '1':
lastname = query_norm.split(', ', 1)[0]
firstname = query_norm.split(', ', 1)[1]
query_inv = firstname.strip(',') + " " + lastname
else:
query_inv = None
try:
date = name['d']
except TypeError:
date = None
try:
bdate = name['d'][:4]
except TypeError:
bdate = None
try:
ddate = name['d'].split("-", 1)[1]
except (TypeError, AttributeError):
ddate = None
try:
role = name['e']
except TypeError:
role = None
try:
role_code = name['4']
except TypeError:
role_code = None
try:
affiliation = name['u']
except TypeError:
affiliation = None
try:
field_id = name['0']
except TypeError:
field_id = None
#start Recon Resp JSON construction
resp['query'] = query
resp['recordID'] = recordID
resp['query_norm'] = query_norm
resp['query_inv'] = query_inv
resp['match_fields'] = {}
resp['match_fields']['title'] = title
resp['match_fields']['uniformTitle'] = uniformTitle
resp['match_fields']['stmtOfResp'] = stmtOfResp
resp['match_fields']['topic'] = topics
resp['match_fields']['bdate'] = bdate
resp['match_fields']['ddate'] = ddate
resp['match_fields']['date'] = date
resp['match_fields']['role'] = role
resp['match_fields']['role_code'] = role_code
resp['match_fields']['affiliation'] = affiliation
resp['match_fields']['field_id'] = field_id
resp['request_info'] = {}
resp['request_info']['queryType'] = args.queryType
resp['request_info']['match'] = args.match
resp['request_info']['givenFormat'] = args.format
resp['matches'] = {}
resp['matches']['lc'] = []
resp['matches']['viaf'] = []
resp['matches']['getty'] = []
resp['matches']['vivo'] = []
resp['matches']['fast'] = []
resp['matches']['wikidata'] = []
#if the heading has an ID already, match on that first
recon_resp = False
if field_id and recon_resp is False:
id_resp = handle0(field_id)
resp['matches']['lc'].append(id_resp['lc'])
resp['matches']['viaf'].append(id_resp['viaf'])
resp['matches']['fast'].append(id_resp['fast'])
resp['matches']['getty'].append(id_resp['getty'])
resp['matches']['wikidata'].append(id_resp['wikidata'])
if id_resp['wikidata'] is not None:
recon_resp = True
#If name does not have $0 but has $d, $q, $b, $c
#Then run against NAF first for id checking
if ((name['d'] or name['q'] or name['b'] or name['c'])
and recon_resp is False):
#Look for NAF Identifier first
lc_results = querying.LCsuggest(query, role_code, role)
if lc_results['lc_uri']:
#Consider a match?
lc_uri = lc_results['lc_uri']
lc_prefLabel = lc_results['lc_prefLabel']
lc = lc_results['lc']
lc_score = 90 #make better later according to
#which subfield did matching
#Ask WikiData if there is match for that NAF
LCqueryout = querying.sparqlLCid(lc)
lc0 = ({
'lcnaf_uri': lc_uri,
'lc_prefLabel': lc_prefLabel,
'lc_score': lc_score
})
resp['matches']['lc'].append(lc0)
resp['matches']['wikidata'].append(
LCqueryout['wikidata'])
resp['matches']['getty'].append(
LCqueryout['getty'])
resp['matches']['fast'].append(LCqueryout['fast'])
resp['matches']['viaf'].append(LCqueryout['viaf'])
if resp['matches']['wikidata'] is not None:
recon_resp = True
if recon_resp is False:
#wikidata sparql query with query_inv
if query_inv:
WDqueryout = querying.sparqlWD(query_inv, resp)
resp['matches']['wikidata'] = WDqueryout[
'wikidata']
resp['matches']['lc'] = WDqueryout['lc']
resp['matches']['viaf'] = WDqueryout['viaf']
resp['matches']['fast'] = WDqueryout['fast']
resp['matches']['getty'] = WDqueryout['getty']
else:
WDqueryout = querying.sparqlWD(query_norm, resp)
resp['matches']['wikidata'] = WDqueryout[
'wikidata']
resp['matches']['lc'] = WDqueryout['lc']
resp['matches']['viaf'] = WDqueryout['viaf']
resp['matches']['fast'] = WDqueryout['fast']
resp['matches']['getty'] = WDqueryout['getty']
response[recordID + '_' + query_norm] = resp
return (response)
def processMarc(datafile, args, fields):
response = {}
fields = fields
reader = pymarc.MARCReader(open(datafile, 'rb'))
for record in reader:
recordID = record['001'].data
try:
title = record['245']['a'].replace(' /', '')
except TypeError:
title = None
try:
uniformTitle = record['240']['a']
except TypeError:
uniformTitle = None
try:
stmtOfResp = record['245']['c']
except TypeError:
stmtOfResp = None
try:
topics = []
for topic in record.get_fields('650'):
topics.append(topic.format_field().replace(' -- ', '--'))
except TypeError:
topics = None
for field in fields:
for name in record.get_fields(field):
resp = dict()
#If has something to not make a personal name, skip
if not name['t'] and not name['v'] and not name['x']:
query = name.format_field()
query_norm = name['a']
if "," in query_norm and name.indicator1 == '1':
lastname = query_norm.split(', ', 1)[0]
firstname = query_norm.split(', ', 1)[1]
query_inv = firstname.strip(',') + " " + lastname
else:
query_inv = None
try:
date = name['d']
except TypeError:
date = None
try:
bdate = name['d'][:4]
except TypeError:
bdate = None
try:
ddate = name['d'].split("-", 1)[1]
except (TypeError, AttributeError):
ddate = None
try:
role = name['e']
except TypeError:
role = None
try:
role_code = name['4']
except TypeError:
role_code = None
try:
affiliation = name['u']
except TypeError:
affiliation = None
try:
field_id = name['0']
except TypeError:
field_id = None
#start Recon Resp JSON construction
resp['query'] = query
resp['recordID'] = recordID
resp['query_norm'] = query_norm
resp['query_inv'] = query_inv
resp['match_fields'] = {}
resp['match_fields']['title'] = title
resp['match_fields']['uniformTitle'] = uniformTitle
resp['match_fields']['stmtOfResp'] = stmtOfResp
resp['match_fields']['topic'] = topics
resp['match_fields']['bdate'] = bdate
resp['match_fields']['ddate'] = ddate
resp['match_fields']['date'] = date
resp['match_fields']['role'] = role
resp['match_fields']['role_code'] = role_code
resp['match_fields']['affiliation'] = affiliation
resp['match_fields']['field_id'] = field_id
resp['request_info'] = {}
resp['request_info']['queryType'] = args.queryType
resp['request_info']['match'] = args.match
resp['request_info']['givenFormat'] = args.format
resp['matches'] = {}
resp['matches']['lc'] = []
resp['matches']['viaf'] = []
resp['matches']['getty'] = []
resp['matches']['vivo'] = []
resp['matches']['fast'] = []
resp['matches']['wikidata'] = []
#if the heading has an ID already, match on that first
recon_resp = False
if field_id and recon_resp is False:
id_resp = handle0(field_id)
resp['matches']['lc'].append(id_resp['lc'])
resp['matches']['viaf'].append(id_resp['viaf'])
resp['matches']['fast'].append(id_resp['fast'])
resp['matches']['getty'].append(id_resp['getty'])
resp['matches']['wikidata'].append(id_resp['wikidata'])
if id_resp['wikidata'] is not None:
recon_resp = True
#If name does not have $0 but has $d, $q, $b, $c
#Then run against NAF first for id checking
if ((name['d'] or name['q'] or name['b'] or name['c']) and recon_resp is False):
#Look for NAF Identifier first
lc_results = querying.LCsuggest(query, role_code, role)
if lc_results['lc_uri']:
#Consider a match?
lc_uri = lc_results['lc_uri']
lc_prefLabel = lc_results['lc_prefLabel']
lc = lc_results['lc']
lc_score = 90 #make better later according to
#which subfield did matching
#Ask WikiData if there is match for that NAF
LCqueryout = querying.sparqlLCid(lc)
lc0 = ({'lcnaf_uri': lc_uri, 'lc_prefLabel':
lc_prefLabel, 'lc_score': lc_score})
resp['matches']['lc'].append(lc0)
resp['matches']['wikidata'].append(LCqueryout['wikidata'])
resp['matches']['getty'].append(LCqueryout['getty'])
resp['matches']['fast'].append(LCqueryout['fast'])
resp['matches']['viaf'].append(LCqueryout['viaf'])
if resp['matches']['wikidata'] is not None:
recon_resp = True
if recon_resp is False:
#wikidata sparql query with query_inv
if query_inv:
WDqueryout = querying.sparqlWD(query_inv, resp)
resp['matches']['wikidata'] = WDqueryout['wikidata']
resp['matches']['lc'] = WDqueryout['lc']
resp['matches']['viaf'] = WDqueryout['viaf']
resp['matches']['fast'] = WDqueryout['fast']
resp['matches']['getty'] = WDqueryout['getty']
else:
WDqueryout = querying.sparqlWD(query_norm, resp)
resp['matches']['wikidata'] = WDqueryout['wikidata']
resp['matches']['lc'] = WDqueryout['lc']
resp['matches']['viaf'] = WDqueryout['viaf']
resp['matches']['fast'] = WDqueryout['fast']
resp['matches']['getty'] = WDqueryout['getty']
response[recordID + '_' + query_norm] = resp
return(response)
