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Ill1000_add_solos.py
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# Python3
""" adding solo fragments and their performers to RDF for the Illinois subset
of the 1000 tracks dataset
Polina Proutskova
August 2019
"""
##############################################################
# paths
from os.path import join
DATA_CSV = "DATA/solo_extract_meta.csv"
RDFfile = "TTL/ILL_inst.ttl"
RDFnewfile = "TTL/ILL_solos.ttl"
NO_MUSICIANS_FILE = "PyLOG/Ill_no_musicians_found.json"
NO_MATCHING_INSTRUMENT_FILE = "PyLOG/Ill_no_matching_instrument_found.json"
MULTIPLE_MUSICIANS_FILE = "PyLOG/Ill_multiple_musicians_found.json"
import dtlutil
# logging
import logging
MIN_LEVEL = logging.WARNING
dtlutil.setup_log(MIN_LEVEL)
##############################################################
# create rdf graph
import rdflib
from rdflib.graph import Graph, Store, URIRef, Literal, BNode
from rdflib.namespace import Namespace, RDFS
from rdflib import plugin
from rdflib.plugins import sparql
from rdflib import Namespace
from rdflib.namespace import RDF, FOAF, RDFS, DC, XSD
MO, TL, EVENT, OLO, DTL, initNs = dtlutil.init_namespaces()
g = dtlutil.create_graph()
dtlutil.read_in_rdf(g, RDFfile)
####################################################################
from dtlutil import *
def create_uri(forWhat, uid):
uri = "http://www.DTL.org/Ill/" + forWhat +"/" + str(uid)
return URIRef(uri)
def exists_fingerprint(fprint):
return Literal(fprint) in g.objects(predicate=DTL.fingerprint_short)
def find_signal_by_fingerprint(fprint):
return g.value(subject=None, predicate=DTL.fingerprint_short, object=Literal(fprint), default=None, any=False)
def find_performance(signalURI):
return g.value(subject=signalURI, predicate=DTL.captures, object=None, default=None, any=False)
def exists_instrument(inst):
return find_instrument(inst) != None
def find_instrument(inst):
return g.value(subject=None, predicate=DTL.dtl_inst_label, object=inst, default=None, any=False)
def create_time_interval(start, end, timeline=TL.UniversalTimeline):
eventnode = rdflib.BNode()
g.add( (eventnode, RDF.type, TL.Interval) )
g.add( (eventnode, TL.beginsAt, Literal(start)) )
g.add( (eventnode, TL.endsAt, Literal(end)) )
g.add( (eventnode, TL.onTimeLine, timeline) )
return eventnode
#########################################################################
# main
import uuid
import csv
with open(DATA_CSV) as csvfile:
logging.info("\nReading data from file: %s", DATA_CSV)
csvreader = csv.reader(csvfile, delimiter=',')
csvreader.__next__()
found = 0
NO_MUSICIANS = []
NO_MATCHING_INSTRUMENT = []
MULTIPLE_MUSICIANS = []
for count, row in enumerate(csvreader):
logging.info("\nprocessing row %i:", count + 1)
soloid = row[0].replace(".csv","")
fprint = row[1]
instrument = row[2]
start = row[3]
end = row[4]
logging.info("fprint: %s", fprint)
logging.info("instrument: %s", instrument)
if not row[1].startswith("JE-"):
found += 1
if str(fprint) != "AQAHB6kSLR9xZRApLce5wy9-4U_QcIUi" and str(fprint) != "AQAIJVQSa-oSfFOCHw9yH8kyPujEOnij"\
and str(fprint) != "AQAKzkmoZVGihMPzINzgHL2OHw96vDeO" and str(fprint) != "AQALPkqULUqkRBPGeA7c5MF5PEGtIgyl"\
and str(fprint) != "AQANwUmSaIoeJUmg5cFzpFv14A2-nPjg" and str(fprint) != "AQAUq0kmJk5kPDA-QmV8PE-PTBfOow-8":
signalURI = find_signal_by_fingerprint(fprint)
trackURI = g.value(subject=signalURI, predicate=MO.published_as, object=None, default=None, any=False)
track_title = g.value(subject=trackURI, predicate=DC.title, object=None, default=None, any=False)
logging.debug("track title: %s", track_title)
performanceURI = find_performance(signalURI)
# create solo performance
soloperformanceURI = create_uri("solo_performances", soloid)
g.add( (soloperformanceURI, RDF.type, DTL.SoloPerformance) )
g.add( (performanceURI, EVENT.sub_event, soloperformanceURI) )
g.add( (soloperformanceURI, DTL.solo_id, Literal(soloid)) )
logging.debug("created solo performance for track %s", track_title)
# add timestamps
if exists_timeline(g, performanceURI):
timelineURI = find_timeline(g, performanceURI)
else:
timelineURI = create_timeline(g, performanceURI)
logging.debug("timeline uri: %s", timelineURI)
start_xsd = start.replace(".", ":", 2)
end_xsd = end.replace(".", ":", 2)
logging.debug("start: %s, end: %s", start_xsd, end_xsd)
g.add( (soloperformanceURI, EVENT.time, create_time_interval(start_xsd, end_xsd, timelineURI)) )
# add solo instrument
instrumentURI = g.value(subject=None, predicate=DTL.lord_inst_label, object=Literal(instrument), default=None, any=False)
if instrumentURI == None:
# this instrument has not come up in the ILL1000 tracks, creating it
logging.debug("new instrument %s created", instrument)
instrumentURI = create_uri("instruments", uuid.uuid4())
g.add( (instrumentURI, RDF.type, MO.Instrument) )
g.add( (instrumentURI, DTL.lord_inst_label, Literal(instrument)) )
g.add( (instrumentURI, DTL.dtl_inst_label, Literal(instrument)) )
g.add( (instrumentURI, DTL.orig_inst_label, Literal(instrument)) )
g.add( (soloperformanceURI, DTL.solo_instrument, instrumentURI) )
logging.debug("connected instrument %s to the solo performance of track %s", instrument, track_title)
# find performers
performers = g.objects(performanceURI, MO.performer)
exist_performers = False
candidates = []
for performer in performers:
exist_performers = True
perf_inst = g.value(subject=performer, predicate=DTL.instrument, object=None, default=None, any=False)
perf_inst_label = g.value(subject=perf_inst, predicate=DTL.dtl_inst_label, object=None, default=None, any=False)
musician = g.value(subject=performer, predicate=DTL.musician, object=None, default=None, any=False)
name = g.value(subject=musician, predicate=FOAF.name, object=None, default=None, any=False)
logging.debug("performer: %s, instrument: %s", name, perf_inst_label)
if str(perf_inst_label) == str(instrument):
candidates.append(performer)
logging.debug("performer: %s", name)
if len(candidates) == 1:
# one performer found - relate to solo performance
performer = candidates[0]
perf_inst = g.value(subject=performer, predicate=DTL.instrument, object=None, default=None, any=False)
perf_inst_label = g.value(subject=perf_inst, predicate=DTL.dtl_inst_label, object=None, default=None, any=False)
musician = g.value(subject=performer, predicate=DTL.musician, object=None, default=None, any=False)
name = g.value(subject=musician, predicate=FOAF.name, object=None, default=None, any=False)
g.set( (soloperformanceURI, DTL.solo_instrument, perf_inst) )
g.add( (soloperformanceURI, DTL.solo_performer, performer) )
logging.debug("added performer %s and instrument %s to the solo performance of track %s", name, perf_inst_label, track_title)
elif len(candidates) < 1:
if not exist_performers:
# no performers found
NO_MUSICIANS.append( (track_title, fprint, instrument) )
logging.warning("No performers found on track %s with fingerprint %s", track_title, fprint)
else:
# no performers with a matching instrument found
NO_MATCHING_INSTRUMENT.append( (track_title, fprint, instrument) )
logging.warning("No performers found playing %s on track %s with fingerprint %s", instrument, track_title, fprint)
elif len(candidates) > 1:
# multiple performers found
logging.warning("Multiple performers found playing %s on track %s with fingerprint %s:", instrument, track_title, fprint)
names_list = []
for performer in candidates:
musician = g.value(subject=performer, predicate=DTL.musician, object=None, default=None, any=False)
name = g.value(subject=musician, predicate=FOAF.name, object=None, default=None, any=False)
logging.warning("%s", name)
names_list.append(name)
MULTIPLE_MUSICIANS.append( (track_title, fprint, instrument, names_list) )
# add possible solo performers
for performer in candidates:
musician = g.value(subject=performer, predicate=DTL.musician, object=None, default=None, any=False)
name = g.value(subject=musician, predicate=FOAF.name, object=None, default=None, any=False)
g.add( (soloperformanceURI, DTL.possible_solo_performer, performer) )
logging.debug("added performer %s as a possible performer to the solo performance of track %s", name, track_title)
else:
logging.info("fingerprint not found: %s", fprint)
# stats
logging.info("\n##############\nSTATS")
logging.info("Processed %i fingerprints", found)
logging.info("No performer found: %i (%i%s)", len(NO_MUSICIANS), len(NO_MUSICIANS)/found*100, "%")
logging.info("No matching instrument found: %i (%i%s)", len(NO_MATCHING_INSTRUMENT), len(NO_MATCHING_INSTRUMENT)/found*100, "%")
logging.info("Multiple performers found: %i (%i%s)", len(MULTIPLE_MUSICIANS), len(MULTIPLE_MUSICIANS)/found*100, "%")
logging.info("##############\n")
# write problem cases to files
from dtlutil import write_json
write_json(NO_MUSICIANS, NO_MUSICIANS_FILE)
write_json(NO_MATCHING_INSTRUMENT, NO_MATCHING_INSTRUMENT_FILE)
write_json(MULTIPLE_MUSICIANS, MULTIPLE_MUSICIANS_FILE)
# write rdf
dtlutil.write_rdf(g, RDFnewfile)