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ld_converter.py
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# -*- coding: utf-8 -*-
import os
import re
import time
import json
import pickle
import urllib
import datetime
import argparse
import unicodedata
import numpy as np
import pandas as pd
import xml.etree.ElementTree as ET
from tqdm import tqdm
from hashlib import sha1
from os.path import exists, dirname, join, isfile
from rdflib import Namespace, URIRef, ConjunctiveGraph, Literal
from rdflib.namespace import FOAF, DC, SKOS, RDF, RDFS, XSD, DCTERMS
parser = argparse.ArgumentParser(description='MeMAD Converter')
parser.add_argument("-p", "--path", type=str, help="Specify the path for the file or folder to process", default='data/ld') #, required=True)
parser.add_argument("-o", "--output", type=str, help="Specify the path to which the TTL output would be written.", default='data/dump/') #, required=True)
parser.add_argument("-f", "--flow_mapping", type=str, help="Specify the path to a file containing the mapping between filenames and their Flow identifier.",
default='data/file_flow_mapping.json') #, required=True)
parser.add_argument("-k", "--keep_mappings", help="add this flag to generate CSV files for mapping Programmes to their URIs", action='store_true', default=True) #, required=True)
args = parser.parse_args()
data_path = args.path
output_path = args.output
flow_mapping_file = args.flow_mapping
keep_mappings = args.keep_mappings
if not exists(data_path) :
print('Error: the provided path does not exist.')
exit()
if not exists(output_path):
print('Creating directory :' + dirname(output_path))
os.makedirs(dirname(output_path))
data_path = data_path + '/' if data_path[-1] != '/' else data_path
repos_to_process = sorted(os.listdir(data_path))
if repos_to_process[0][-3:] == 'csv':
dataset_name = data_path.split('/')[-2]
data_path = data_path[:-(len(dataset_name)+1)]
repos_to_process = [dataset_name]
print('Processing the "', dataset_name, '" dataset @', data_path)
else:
print('Processing', len(repos_to_process), 'datasets..')
dfs_program = []
dfs_segment = []
for dataset in repos_to_process: # ['14-may2019']: #
if '.' in dataset:
continue
files = os.listdir(data_path+dataset)
for file in files:
if file.split('.')[-1] != 'csv': break
filepath = join(data_path+dataset, file)
df = pd.read_csv(filepath, encoding='latin-1', delimiter=';', low_memory=False).fillna('')
if 'TitreSujet' in df.columns:
dfs_segment.append(df)
else:
dfs_program.append(df)
df_eall, df_sall = [], []
if dfs_program:
df_eall = pd.concat(dfs_program, sort=False).fillna('')
df_eall = df_eall.replace('', "'", regex=True).replace('', "-", regex=True).replace(' ', "", regex=True)
if dfs_segment:
df_sall = pd.concat(dfs_segment, sort=False).fillna('')
print(len(df_eall))
print(len(df_sall))
MeMAD = Namespace('http://data.memad.eu/ontology#')
EBUCore = Namespace('http://www.ebu.ch/metadata/ontologies/ebucore/ebucore#')
base = 'http://data.memad.eu/'
g = ConjunctiveGraph()
radio_channels = set(['BEU', 'BFM', 'CHE', 'D8_', 'EU1', 'MUV', 'GA1', 'EU2', 'FBL', 'FCR',
'FIF', 'FIT', 'FMU', 'FUN', 'MUV', 'NOS', 'NRJ' , 'RBL', 'RCL' , 'RFI',
'RFM', 'RIR', 'RMC', 'RT2', 'RTL', 'RT9', 'SKY', 'SUD', 'VIR'])
def save_graph(path='ld.ttl'):
g.serialize(path, format='turtle')
def reset_graph():
global g
g = ConjunctiveGraph()
g.bind('memad', MeMAD)
g.bind('skos', SKOS)
g.bind('ebucore', EBUCore)
g.bind('dcterm', DCTERMS)
def add_to_graph(triplet, signal_empty_values=False):
""" Add a non-empty triplet to the global graph g """
if triplet[2] and len(triplet[2]) > 0 and str(triplet[2]) != 'None': # the predicate has a non-null value
g.add(triplet)
elif signal_empty_values:
print(str(triplet[0]) + '.' + str(triplet[1]) + ' was not added to the graph (empty value)')
def clean_string(s):
""" Transforming any text strings into valid ascii slugs """
to_dash = '\\/\',.":;^[]()!? #=&$%@{«°»¿=>+*\u0019\xa0' # \u0019 is NOT utf8-frieldy
cleaned = ''.join(c for c in unicodedata.normalize('NFD', s) if unicodedata.category(c) != 'Mn')
cleaned = ''.join('-' if c in to_dash else c for c in cleaned)
cleaned = ''.join(c if i == 0 or (c == '-' and cleaned[i-1]) != '-' else '' for i, c in enumerate(cleaned))
cleaned = cleaned.lower().strip('-')
return cleaned
def transform(field, value):
if field == 'channel':
channel_codes = json.load(open('mappings/ina_channel2code.json'))
return channel_codes[value].lower()
elif field == 'role':
roles = json.load(open('mappings/ina_code2role.json'))
return roles[value].lower()
elif field == 'genre':
genres = json.load(open('mappings/ina_genres.json'))
return genres[value].lower()
elif field == 'theme':
themes = json.load(open('mappings/ina_themes.json'))
return themes[value].lower()
elif field == 'datetime':
Y, M, D = value[:10].split('-')
date = Y + '-' + M + '-' + D
h, m, s = value[11:13], value[14:16], value[17:19]
if int(h) > 23:
h = str(int(h) - 24)
D = str(int(D) + 1)
return Literal(date + 'T' + h + ':' + m + ':' + s, datatype=XSD.dateTime)
elif field == 'time':
return Literal(value, datatype=XSD.time)
elif field == 'duration':
if not value: return None
h = str(int(value / 3600))
m = str(int((value % 3600) / 60))
s = str(value % 60)
t = 'PT'+h.zfill(2)+'H'+m.zfill(2)+'M'+s.zfill(2)+'S'
return Literal(t, datatype=XSD.duration)
elif field == 'contributor_role':
roles = json.load(open('mappings/yle_id2role.json'))
return roles[value] # value is the id
elif field == 'end_datetime':
try:
date, duration = value
if not duration: return None
date = datetime.datetime.strptime(date, '%Y-%m-%dT%H:%M:%S')
duration = datetime.timedelta(seconds=int(duration))
end_datetime = (date + duration).strftime("%Y-%m-%dT%H:%M:%S")
return Literal(end_datetime, datatype=XSD.dateTime)
except Exception as e:
print("Can't generate end time, ", str(e), '(', value, ')')
else:
raise Exception('No transformation defined for field ' + field + '( value ) :' + str(value))
def encode_uri(resource, data):
if resource == 'program':
hashed = sha1(data['id'].encode()).hexdigest()
source = data['source'].lower()
parent = clean_string(data['parent'])
return URIRef(base + source + '/' + parent + '/' + hashed)
elif resource == 'channel':
channel_code = transform('channel', data['name'])
return URIRef(base + 'channel/' + channel_code)
elif resource == 'media':
hashed = sha1(data['id'].encode()).hexdigest()
return URIRef(base + 'media/' + hashed)
elif resource == 'agent':
agent_name_cleaned = clean_string(data['name'])
return URIRef(base + 'agent/' + agent_name_cleaned)
elif resource in ['timeslot', 'collection']:
if not data['name']: return None
name_cleaned = clean_string(data['name'])
return URIRef(base + data['source'].lower() + '/' + name_cleaned)
elif resource == 'history':
return URIRef(str(data['program_uri']) + '/publication')
elif resource == 'publication':
# datetime = ''.join(c for c in data['datetime'] if c in '0123456789')
n = data['n']
return URIRef(str(data['program_uri']) + '/publication/' + n)
elif resource == 'role':
role = str(data['role']).lower().replace(' ', '_')
return URIRef(base + 'role/' + role)
elif resource == 'genre':
genre = str(data['genre']).lower().replace(' ', '_')
return URIRef(base + 'genre/' + genre)
elif resource == 'theme':
theme = str(data['theme']).lower().replace(' ', '_')
return URIRef(base + 'theme/' + theme)
elif resource == 'keyword':
keyword = clean_string(data['keyword'].lower().replace(' ', '_')) # remove accents
keyword = keyword.split('(')[0] # remove any parenthesis
return URIRef(base + 'keyword/' + keyword)
elif resource == 'language':
# all entries in INA-PA are in French
return URIRef(base + 'language/french')
else:
raise Exception('No URI encoding for resource ' + resource)
def time_between(d1, d2):
# "2014-05-01 05:32:32", "2014-05-01T05:33:17+01:00"
d1 = datetime.datetime.strptime(d1, "%Y-%m-%d %H:%M:%S")
d2 = datetime.datetime.strptime(d2[:19], "%Y-%m-%d %H:%M:%S")
diff = max(d1, d2) - min(d1, d2)
return (datetime.datetime.min + diff).time().strftime("%H:%M:%S")
def time_after(t, d):
if d == str(None) : return None
t = datetime.datetime.strptime(t, "%H:%M:%S")
if '.' in d: d = d.split('.')[0]+'S'
d = datetime.datetime.strptime(d, "PT%HH%MM%SS")
d = datetime.timedelta(hours=d.hour, minutes=d.minute, seconds=d.second)
return (d + t).time().strftime("%H:%M:%S")
def add_vocabulary():
roles = json.load(open('mappings/ina_code2role.json'))
genres = json.load(open('mappings/ina_genres.json'))
themes = json.load(open('mappings/ina_themes.json'))
# print('Adding the following roles to the graph:', ', '.join(sorted(roles_en.values())))
for label_fr, label_en in roles.items():
role_uri = URIRef(base + 'role/' + label_en.lower().replace(' ', '_'))
add_to_graph((role_uri, RDF.type, EBUCore.Role))
add_to_graph((role_uri, RDFS.label, Literal(label_en)))
add_to_graph((role_uri, RDFS.label, Literal(label_fr, lang='fr')))
for label_fr, label_en in genres.items():
genre_uri = URIRef(base + 'genre/' + label_en.lower().replace(' ', '_'))
add_to_graph((genre_uri, RDF.type, EBUCore.Genre))
add_to_graph((genre_uri, RDFS.label, Literal(label_en)))
add_to_graph((genre_uri, RDFS.label, Literal(label_fr, lang='fr')))
for label_fr, label_en in themes.items():
theme_uri = URIRef(base + 'theme/' + label_en.lower().replace(' ', '_'))
add_to_graph((theme_uri, RDF.type, EBUCore.Theme))
add_to_graph((theme_uri, RDFS.label, Literal(label_en)))
add_to_graph((theme_uri, RDFS.label, Literal(label_fr, lang='fr')))
fr_uri = URIRef(base + 'language/french')
add_to_graph((fr_uri, RDF.type, EBUCore.Language))
add_to_graph((fr_uri, RDFS.label, Literal('French')))
add_to_graph((fr_uri, RDFS.label, Literal('Français', lang='fr')))
if len(df_eall) > 0:
reset_graph()
mapping = []
add_vocabulary()
for i, entry in tqdm(df_eall.iterrows(), total=len(df_eall)):
# if i == 1000: break
try:
assert('Identifiant' in entry)
except Exception:
raise Exception('The provided file doesn\'t have the appropriate Legal Deposit program format')
# Source
channel_name = entry['Chaine']
channel_uri = encode_uri('channel', {'name': channel_name})
channel_code = transform('channel', channel_name)
radio_program = channel_code.upper() in radio_channels
add_to_graph((channel_uri, RDF.type, EBUCore.PublicationChannel))
add_to_graph((channel_uri, EBUCore.publicationChannelId, Literal(channel_code.upper())))
add_to_graph((channel_uri, EBUCore.publicationChannelName, Literal(channel_name)))
add_to_graph((channel_uri, EBUCore.serviceDescription, Literal(("Radio" if radio_program else "TV") + ' channel')))
timeslot_name = entry['TitreTrancheHoraire']
timeslot_uri = encode_uri('timeslot', {'name': timeslot_name, 'source':channel_code})
if timeslot_uri:
add_to_graph((timeslot_uri, RDF.type, MeMAD.Timeslot))
add_to_graph((timeslot_uri, EBUCore.title, Literal(timeslot_name)))
collection_name = entry['TitreCollection']
collection_uri = encode_uri('collection', {'name': collection_name, 'source':channel_code})
if collection_uri:
add_to_graph((collection_uri, RDF.type, EBUCore.Collection))
add_to_graph((collection_uri, EBUCore.title, Literal(collection_name)))
program_id = entry['Identifiant']
parent = 'orphan'
if collection_name or timeslot_name: # if the program has a parent collection
parent = collection_name if collection_name else timeslot_name
program_uri = encode_uri('program', {'id': program_id, 'source': channel_code, 'parent': parent})
program_type = EBUCore.RadioProgramme if radio_program else EBUCore.TVProgramme
if collection_uri: add_to_graph((collection_uri, EBUCore.isParentOf, program_uri))
if timeslot_uri : add_to_graph((timeslot_uri, EBUCore.isParentOf, program_uri))
# Program Metadata
title = entry['TitreEmission'].strip()
summary = entry['Resume'].strip().replace('\r', '')
lead = entry['Chapeau'].strip().replace('\r', '')
producer_summary = entry['ResumeProducteur'].strip().replace('\r', '')
duration = transform('duration', entry['DureeSecondes'])
language_uri = encode_uri('language', {'language': 'Français'})
add_to_graph((program_uri, DCTERMS.publisher, Literal("INA-LD")))
add_to_graph((program_uri, RDF.type, program_type))
add_to_graph((program_uri, EBUCore.hasIdentifier, Literal(program_uri.split('/')[-1])))
# add_to_graph((program_uri, EBUCore.hasIdentifier, Literal(program_id)))
add_to_graph((program_uri, EBUCore.title, Literal(title, lang='fr')))
add_to_graph((program_uri, EBUCore.summary, Literal(summary, lang='fr')))
add_to_graph((program_uri, MeMAD.producerSummary, Literal(producer_summary, lang='fr')))
add_to_graph((program_uri, MeMAD.lead, Literal(lead, lang='fr')))
add_to_graph((program_uri, EBUCore.duration, duration))
add_to_graph((program_uri, EBUCore.hasLanguage, language_uri))
# Media
Imedia_id = entry['IdentifiantImedia']
Mediametrie_id = entry['IdentifiantMediametrie']
media_uri = encode_uri('media', {'id': program_id})
add_to_graph((media_uri, RDF.type, EBUCore.MediaResource))
add_to_graph((program_uri, EBUCore.isInstantiatedBy, media_uri))
# add_to_graph((media_uri, MeMAD.hasImediaIdentifier, Literal(Imedia_id)))
# add_to_graph((media_uri, MeMAD.hasMediametrieIdentifier, Literal(Mediametrie_id)))
# Genres
genres = entry['Genres'].strip().split('|')
for genre in genres:
if genre.strip():
genre_uri = encode_uri('genre', {'genre': transform('genre', genre.strip())})
add_to_graph((program_uri, EBUCore.hasGenre, genre_uri))
# Themes
themes = entry['Thematique'].strip().split('|')
for theme in themes:
if theme.strip():
theme_uri = encode_uri('theme', {'theme': transform('theme', theme.strip())})
add_to_graph((program_uri, EBUCore.hasTheme, theme_uri))
# Keywords
keywords = entry['Descripteurs'].strip().split('|')
for keyword in keywords:
if keyword.strip():
keyword_uri = encode_uri('keyword', {'keyword': keyword.strip()})
add_to_graph((keyword_uri, RDF.type, EBUCore.Keyword))
add_to_graph((keyword_uri, RDFS.label, Literal(keyword, lang="fr")))
add_to_graph((program_uri, EBUCore.hasKeyword, keyword_uri))
# Producers
producers = entry['Producteurs'].strip().split('|')
for producer in producers:
if producer.strip() : add_to_graph((program_uri, EBUCore.hasProducer, Literal(producer)))
# Contributors
credits = entry['Generiques'].strip().split('|')
for credit in credits:
if credit == '': continue
if '#' in credit : uid, credit = credit.split('#')
if '(' in credit : name, role = credit.split('(')
role = role.strip()[:-1] # remove ')'
name = name.strip()
agent_uri = encode_uri('agent', {'name': name})
add_to_graph((agent_uri, RDF.type, EBUCore.Agent))
add_to_graph((program_uri, EBUCore.hasContributor, agent_uri))
add_to_graph((agent_uri, EBUCore.agentName, Literal(name)))
if role:
t_role = transform('role', role)
role_uri = encode_uri('role', {'role': t_role})
add_to_graph((agent_uri, EBUCore.hasRole, role_uri))
# Pubevent
pubevent_datetime = transform('datetime', entry['startDate'])
pubevent_datetime_end = transform('datetime', entry['endDate'])
history_uri = encode_uri('history', {'program_uri': program_uri})
pubevent_uri = encode_uri('publication', {'program_uri': program_uri, 'n': '0'})
add_to_graph((history_uri, RDF.type, EBUCore.PublicationHistory))
add_to_graph((program_uri, EBUCore.hasPublicationHistory, history_uri))
add_to_graph((history_uri, EBUCore.hasPublicationEvent, pubevent_uri))
add_to_graph((pubevent_uri, RDF.type, EBUCore.PublicationEvent))
add_to_graph((pubevent_uri, RDF.type, MeMAD.FirstRun))
add_to_graph((pubevent_uri, EBUCore.publishes, program_uri))
add_to_graph((pubevent_uri, EBUCore.isReleasedBy, channel_uri))
add_to_graph((pubevent_uri, EBUCore.publicationStartDateTime, pubevent_datetime))
add_to_graph((pubevent_uri, EBUCore.publicationEndDateTime, pubevent_datetime_end))
add_to_graph((pubevent_uri, EBUCore.firstShowing, Literal("1", datatype=XSD.boolean)))
mapping.append((program_id, str(program_uri), channel_code, str(pubevent_datetime), str(pubevent_datetime_end)))
print('Serializing the graph ..')
tick = time.time()
save_graph(path=output_path + 'ld.ttl')
print('Time elapsed:', round(time.time() - tick, 2), "seconds")
mapping_df = pd.DataFrame(mapping, columns=['identifier', 'URI', 'channel', 'start', 'end'])
mapping_df.to_csv('ina_ld_mapping.csv', index=False, encoding='utf-8')
if len(df_sall) > 0:
reset_graph()
segment_mapping = []
for i, entry in tqdm(df_sall.iterrows(), total=len(df_sall)):
# if i == 100: break
try:
assert('Identifiant' in entry)
except Exception:
raise Exception('The provided file doesn\'t have the appropriate Legal Deposit program format')
# Source
channel_name = entry['Chaine']
channel_uri = encode_uri('channel', {'name': channel_name})
channel_code = transform('channel', channel_name)
radio_program = channel_code in radio_channels
add_to_graph((channel_uri, RDF.type, EBUCore.PublicationChannel))
add_to_graph((channel_uri, EBUCore.publicationChannelId, Literal(channel_code.upper())))
add_to_graph((channel_uri, EBUCore.publicationChannelName, Literal(channel_name)))
add_to_graph((channel_uri, EBUCore.serviceDescription, Literal(("Radio" if radio_program else "TV") + ' channel')))
timeslot_name = entry['TitreTrancheHoraire']
timeslot_uri = encode_uri('timeslot', {'name': timeslot_name, 'source':channel_code})
if timeslot_uri:
add_to_graph((timeslot_uri, RDF.type, MeMAD.Timeslot))
add_to_graph((timeslot_uri, EBUCore.title, Literal(timeslot_name)))
collection_name = entry['TitreCollection']
collection_uri = encode_uri('collection', {'name': collection_name, 'source':channel_code})
if collection_uri:
add_to_graph((collection_uri, RDF.type, EBUCore.Collection))
add_to_graph((collection_uri, EBUCore.title, Literal(collection_name)))
segment_id = entry['Identifiant']
parent = 'orphan'
if collection_name or timeslot_name: # if the program has a parent collection
parent = collection_name if collection_name else timeslot_name
program_uri = encode_uri('program', {'id': segment_id[:-4], 'source': channel_code, 'parent': parent})
segment_uri = encode_uri('program', {'id': segment_id, 'source': channel_code, 'parent': parent})
# Program Metadata
title = entry['TitreEmission'].strip()
lead = entry['Chapeau'].strip().replace('\r', '')
duration = transform('duration', entry['DureeSecondes'])
add_to_graph((segment_uri, RDF.type, EBUCore.Part))
add_to_graph((segment_uri, EBUCore.hasIdentifier, Literal(segment_uri.split('/')[-1])))
add_to_graph((program_uri, EBUCore.hasPart, segment_uri))
add_to_graph((segment_uri, EBUCore.title, Literal(title, lang='fr')))
# add_to_graph((segment_uri, EBUCore.hasIdentifier, Literal(segment_id)))
add_to_graph((segment_uri, MeMAD.lead, Literal(lead, lang='fr')))
add_to_graph((segment_uri, EBUCore.duration, duration))
# Keywords
keywords = entry['Descripteurs'].strip().split('|')
for keyword in keywords:
if keyword.strip():
keyword_uri = encode_uri('keyword', {'keyword': keyword.strip()})
add_to_graph((keyword_uri, RDF.type, EBUCore.Keyword))
add_to_graph((keyword_uri, RDFS.label, Literal(keyword, lang="fr")))
add_to_graph((segment_uri, EBUCore.hasKeyword, keyword_uri))
# Contributors
credits = entry['Generique'].strip().split('|')
for credit in credits:
if credit == '': continue
if '#' in credit : uid, credit = credit.split('#')
if '(' in credit : name, role = credit.split('(')
role = role.strip()[:-1] # remove ')'
name = name.strip()
agent_uri = encode_uri('agent', {'name': name})
add_to_graph((agent_uri, RDF.type, EBUCore.Agent))
add_to_graph((agent_uri, EBUCore.agentName, Literal(name)))
add_to_graph((segment_uri, EBUCore.hasContributor, agent_uri))
if role:
t_role = transform('role', role)
role_uri = encode_uri('role', {'role': t_role})
add_to_graph((agent_uri, EBUCore.hasRole, role_uri))
# Pubevent
pubevent_datetime = transform('datetime', entry['startDate'])
pubevent_end_datetime = transform('end_datetime', (str(pubevent_datetime), entry['DureeSecondes']))
"""
history_uri = encode_uri('history', {'program_uri': segment_uri})
pubevent_uri = encode_uri('publication', {'program_uri': segment_uri, 'n': '0'})
add_to_graph((history_uri, RDF.type, EBUCore.PublicationHistory))
add_to_graph((segment_uri, EBUCore.hasPublicationHistory, history_uri))
add_to_graph((history_uri, EBUCore.hasPublicationEvent, pubevent_uri))
add_to_graph((pubevent_uri, RDF.type, EBUCore.PublicationEvent))
add_to_graph((pubevent_uri, EBUCore.publishes, program_uri))
add_to_graph((pubevent_uri, EBUCore.isReleasedBy, channel_uri))
add_to_graph((pubevent_uri, EBUCore.hasPublicationStartDateTime, pubevent_datetime))
add_to_graph((pubevent_uri, EBUCore.hasPublicationEndDateTime, pubevent_end_datetime))
"""
source_program = df_eall[df_eall['Identifiant'] == segment_id[:-4]]
source_program_start = source_program['startDate'].iloc[0]
segment_start = str(transform('datetime', entry['startDate'])).replace('T', ' ')
start = time_between(source_program_start, segment_start)
t_start = transform('time', start)
end = time_after(start, str(duration))
t_end = transform('time', end)
add_to_graph((segment_uri, EBUCore.start, t_start))
add_to_graph((segment_uri, EBUCore.end, t_end))
segment_mapping.append((segment_id, str(segment_uri), channel_code, str(pubevent_datetime), str(pubevent_end_datetime)))
print('Serializing the graph ..')
tick = time.time()
save_graph(path=output_path + 'ld_sujets.ttl')
print('Time elapsed:', round(time.time() - tick, 2), "seconds")
segment_mapping_df = pd.DataFrame(segment_mapping, columns=['identifier', 'URI', 'channel', 'start', 'end'])
segment_mapping_df.to_csv('ina_ld_segments_mapping.csv', index=False)
if flow_mapping_file:
print('FLOW triplets generation..')
data = json.load(open(flow_mapping_file, 'r'))
reset_graph()
found = []
mapping_all = []
for obj in data:
try:
filename = obj['name']
identifier = filename.split('.')[0][1:] if filename.startswith('R') else filename.split('.')[0]
try:
program = mapping_df[mapping_df['identifier'] == identifier].iloc[0]
except:
program = mapping_df[mapping_df['identifier'] == 'R'+identifier].iloc[0]
program_uri = program['URI']
media_uri = URIRef(base + 'media/' + program_uri.split('/')[-1])
flow_href = URIRef(obj['flowHRef'])
add_to_graph((media_uri, EBUCore.locator, flow_href))
add_to_graph((media_uri, EBUCore.filename, Literal(obj['name'])))
found.append(identifier)
mapping_all.append({'uri':str(media_uri), 'flow_href': str(flow_href), 'filename': filename})
except Exception as e:
pass
save_graph(path=output_path+'ld_flow_filenames.ttl')
mapping_all_df = pd.DataFrame(mapping_all)
mapping_all_df.to_csv('ina_ld_flow_mapping.csv')
print('INA LD Flow mappings have been succesfully generated.')
if not keep_mappings:
print('Deleting mappings.. Done.')
os.remove("ina_ld_mapping.csv")
os.remove("ina_ld_segments_mapping.csv")
os.remove("ina_ld_flow_mapping.csv")