def write_named_entities_config():
wordlist_configfilename = "/etc/opensemanticsearch/ocr/dictionary.txt"
tmp_wordlist_configfilename = tempfile.gettempdir() + os.path.sep + next(
tempfile._get_candidate_names()) + '_ocr_dictionary.txt'
facets = []
# create named entities configs for all ontologies
for ontology in Ontologies.objects.all():
print("Importing Ontology or List {} (ID: {})".format(
ontology, ontology.id))
# Download, if URI
is_tempfile, filename = get_ontology_file(ontology)
facet = get_facetname(ontology)
# analyse content type & encoding
contenttype, encoding = get_contenttype_and_encoding(filename)
print("Detected content type: {}".format(contenttype))
print("Detected encoding: {}".format(encoding))
#
# export entries to entities index
#
if contenttype == 'application/rdf+xml':
#
# write labels, words and synonyms config files
#
ontology_tagger = OntologyTagger()
# load graph from RDF file
ontology_tagger.parse(filename)
# add the labels to entities index for normalization and entity linking
ontology_tagger.solr_entities = 'http://localhost:8983/solr/'
ontology_tagger.solr_core_entities = 'opensemanticsearch-entities'
# append synonyms to Solr managed synonyms resource "skos"
ontology_tagger.solr = 'http://localhost:8983/solr/'
ontology_tagger.solr_core = 'opensemanticsearch'
ontology_tagger.synonyms_resourceid = 'skos'
# append single words of concept labels to wordlist for OCR word dictionary
ontology_tagger.wordlist_configfile = tmp_wordlist_configfilename
# additional all labels fields for language dependent / additional analyzers/stemmers
if ontology.stemming:
for stemmer in ontology.stemming.split(','):
ontology_tagger.additional_all_labels_fields.append(
'all_labels_stemming_' + stemmer + '_ss')
if ontology.stemming_force:
for stemmer in ontology.stemming_force.split(','):
ontology_tagger.additional_all_labels_fields.append(
'all_labels_stemming_force_' + stemmer + '_ss')
if ontology.stemming_hunspell:
for stemmer in ontology.stemming_hunspell.split(','):
ontology_tagger.additional_all_labels_fields.append(
'all_labels_stemming_hunspell_' + stemmer + '_ss')
if ontology.stemming_force_hunspell:
for stemmer in ontology.stemming_force_hunspell.split(','):
ontology_tagger.additional_all_labels_fields.append(
'all_labels_stemming_force_hunspell_' + stemmer +
'_ss')
# setup synonyms config and entities index
ontology_tagger.apply(target_facet=facet)
elif contenttype.startswith('text/plain'):
dictionary2wordlist(
sourcefilename=filename,
encoding=encoding,
wordlist_configfilename=tmp_wordlist_configfilename)
importer = Entity_Importer_List()
importer.import_entities(filename=filename,
types=[facet],
encoding=encoding)
else:
print("Unknown format {}".format(contenttype))
# remember each new facet for which there a list has been created so we can later write all this facets to schema.xml config part
if not facet in facets:
facets.append(facet)
# Delete if downloaded ontology by URL to tempfile
if is_tempfile:
os.remove(filename)
# Write thesaurus entries to facet entities list(s) / dictionaries, entities index and synonyms
thesaurus_facets = thesaurus.views.export_entities(
wordlist_configfilename=tmp_wordlist_configfilename)
# add facets used in thesaurus but not yet in an ontology to facet config
for thesaurus_facet in thesaurus_facets:
if not thesaurus_facet in facets:
facets.append(thesaurus_facet)
# Move temp OCR words config file to destination
if os.path.isfile(tmp_wordlist_configfilename):
shutil.move(tmp_wordlist_configfilename, wordlist_configfilename)
# Create config for UI
write_facet_config()
# Create config for ETL / entity extraction
setup.views.generate_etl_configfile()
# Reload/restart Solr core with new synonyms config
# Todo: Use the Solr URI from config
urlopen(
'http://localhost:8983/solr/admin/cores?action=RELOAD&core=opensemanticsearch'
)
def write_named_entities_config():
dictionary_manager = Dictionary_Manager()
wordlist_configfilename = "/etc/opensemanticsearch/ocr/dictionary.txt"
tmp_wordlist_configfilename = dictionary_manager.solr_dictionary_config_path + os.path.sep + 'tmp_ocr_dictionary.txt'
facets = []
# create named entities configs for all ontologies
for ontology in Ontologies.objects.all():
print("Importing Ontology or List {} (ID: {})".format(
ontology, ontology.id))
# Download, if URI
is_tempfile, filename = get_ontology_file(ontology)
facet = get_facetname(ontology)
# analyse content type & encoding
contenttype, encoding = get_contenttype_and_encoding(filename)
print("Detected content type: {}".format(contenttype))
print("Detected encoding: {}".format(encoding))
# file to export all labels
tmplistfilename = dictionary_manager.solr_dictionary_config_path + os.path.sep + 'tmp_' + facet + '.txt'
#
# export entries to listfiles
#
if contenttype == 'application/rdf+xml':
#
# write labels, words and synonyms config files
#
ontology_tagger = OntologyTagger()
# load graph from RDF file
ontology_tagger.parse(filename)
# add the labels to entities index for normalization and entity linking
ontology_tagger.solr_entities = 'http://localhost:8983/solr/'
ontology_tagger.solr_core_entities = 'opensemanticsearch-entities'
# append synonyms to Solr managed synonyms resource "skos"
ontology_tagger.solr = 'http://localhost:8983/solr/'
ontology_tagger.solr_core = 'opensemanticsearch'
ontology_tagger.synonyms_resourceid = 'skos'
# append single words of concept labels to wordlist for OCR word dictionary
ontology_tagger.wordlist_configfile = tmp_wordlist_configfilename
# append all labels to the facets labels list
ontology_tagger.labels_configfile = tmplistfilename
# write synonyms config file
ontology_tagger.apply(target_facet=facet)
elif contenttype.startswith('text/plain'):
append_from_txtfile(
sourcefilename=filename,
encoding=encoding,
wordlist_configfilename=tmp_wordlist_configfilename)
importer = Entity_Importer_List()
importer.import_entities(filename=filename,
types=[facet],
dictionary=facet,
facet_dictionary_is_tempfile=True,
encoding=encoding)
else:
print("Unknown format {}".format(contenttype))
# remember each new facet for which there a list has been created so we can later write all this facets to schema.xml config part
if not facet in facets:
facets.append(facet)
# Delete if downloaded ontology by URL to tempfile
if is_tempfile:
os.remove(filename)
# Write thesaurus entries to facet entities list(s) / dictionaries, entities index and synonyms
thesaurus_facets = thesaurus.views.export_entities(
wordlist_configfilename=tmp_wordlist_configfilename,
facet_dictionary_is_tempfile=True)
# add facets used in thesaurus but not yet in an ontology to facet config
for thesaurus_facet in thesaurus_facets:
if not thesaurus_facet in facets:
facets.append(thesaurus_facet)
# Move new and complete facet file to destination
for facet in facets:
tmplistfilename = dictionary_manager.solr_dictionary_config_path + os.path.sep + 'tmp_' + facet + '.txt'
listfilename = dictionary_manager.solr_dictionary_config_path + os.path.sep + facet + '.txt'
os.rename(tmplistfilename, listfilename)
# Move temp synonyms and OCR words config file to destination
if os.path.isfile(tmp_wordlist_configfilename):
os.rename(tmp_wordlist_configfilename, wordlist_configfilename)
# Add facet dictionaries to Open Semantic Entity Search API config
for facet in facets:
dictionary_manager.create_dictionary(facet)
# Create config for UI
write_facet_config(automatch_facets=facets)
# Reload/restart Solr core / schema / config to apply changed configs
# so added config files / ontolgies / facets / new dictionary entries will be considered by analyzing/indexing new documents
# Todo: Use the Solr URI from config
urlopen(
'http://localhost:8983/solr/admin/cores?action=RELOAD&core=opensemanticsearch'
)
urlopen(
'http://localhost:8983/solr/admin/cores?action=RELOAD&core=opensemanticsearch-entities'
)
def write_named_entities_config():
wordlist_configfilename = "/etc/opensemanticsearch/ocr/dictionary.txt"
tmp_wordlist_configfilename = tempfile.gettempdir() + os.path.sep + next(tempfile._get_candidate_names()) + '_ocr_dictionary.txt'
facets = []
# create named entities configs for all ontologies
for ontology in Ontologies.objects.all():
print ("Importing Ontology or List {} (ID: {})".format( ontology, ontology.id ) )
# Download, if URI
is_tempfile, filename = get_ontology_file(ontology)
facet = get_facetname(ontology)
# analyse content type & encoding
contenttype, encoding = get_contenttype_and_encoding(filename)
print ( "Detected content type: {}".format(contenttype) )
print ( "Detected encoding: {}".format(encoding) )
#
# export entries to entities index
#
if contenttype=='application/rdf+xml':
#
# write labels, words and synonyms config files
#
ontology_tagger = OntologyTagger()
# load graph from RDF file
ontology_tagger.parse(filename)
# add the labels to entities index for normalization and entity linking
ontology_tagger.solr_entities = 'http://localhost:8983/solr/'
ontology_tagger.solr_core_entities = 'opensemanticsearch-entities'
# append synonyms to Solr managed synonyms resource "skos"
ontology_tagger.solr = 'http://localhost:8983/solr/'
ontology_tagger.solr_core = 'opensemanticsearch'
ontology_tagger.synonyms_resourceid = 'skos'
# append single words of concept labels to wordlist for OCR word dictionary
ontology_tagger.wordlist_configfile = tmp_wordlist_configfilename
# additional all labels fields for language dependent / additional analyzers/stemmers
if ontology.stemming:
for stemmer in ontology.stemming.split(','):
ontology_tagger.additional_all_labels_fields.append('all_labels_stemming_' + stemmer + '_ss')
if ontology.stemming_force:
for stemmer in ontology.stemming_force.split(','):
ontology_tagger.additional_all_labels_fields.append('all_labels_stemming_force_' + stemmer + '_ss')
if ontology.stemming_hunspell:
for stemmer in ontology.stemming_hunspell.split(','):
ontology_tagger.additional_all_labels_fields.append('all_labels_stemming_hunspell_' + stemmer + '_ss')
if ontology.stemming_force_hunspell:
for stemmer in ontology.stemming_force_hunspell.split(','):
ontology_tagger.additional_all_labels_fields.append('all_labels_stemming_force_hunspell_' + stemmer + '_ss')
# setup synonyms config and entities index
ontology_tagger.apply(target_facet=facet)
elif contenttype.startswith('text/plain'):
dictionary2wordlist(sourcefilename=filename, encoding=encoding, wordlist_configfilename=tmp_wordlist_configfilename)
importer = Entity_Importer_List()
importer.import_entities(filename=filename, types=[facet], encoding=encoding)
else:
print ( "Unknown format {}".format(contenttype) )
# remember each new facet for which there a list has been created so we can later write all this facets to schema.xml config part
if not facet in facets:
facets.append(facet)
# Delete if downloaded ontology by URL to tempfile
if is_tempfile:
os.remove(filename)
# Write thesaurus entries to facet entities list(s) / dictionaries, entities index and synonyms
thesaurus_facets = thesaurus.views.export_entities(wordlist_configfilename=tmp_wordlist_configfilename)
# add facets used in thesaurus but not yet in an ontology to facet config
for thesaurus_facet in thesaurus_facets:
if not thesaurus_facet in facets:
facets.append(thesaurus_facet)
# Move temp OCR words config file to destination
if os.path.isfile(tmp_wordlist_configfilename):
shutil.move(tmp_wordlist_configfilename, wordlist_configfilename)
# Create config for UI
write_facet_config()
# Create config for ETL / entity extraction
setup.views.generate_etl_configfile()
# Reload/restart Solr core with new synonyms config
# Todo: Use the Solr URI from config
urlopen('http://localhost:8983/solr/admin/cores?action=RELOAD&core=opensemanticsearch')