read_terms(open('/bibdev/travail/typage/typage_biotope_task3.4/data/expe_20120912/bacteria_habitat_OntoBiotope-34'))
read_heads(open('/bibdev/travail/typage/typage_biotope_task3.4/data/expe_20120912/heads_tolearn_onto'), action='learn')
#test.cleaning_helper()
print '#' * 100
#test.cleaning_helper()
# LEARNING
print 'LEARNING'
print "Reading lemma"
read_lemma(open('/bibdev/travail/typage/typage_biotope_task3.4/data/expe_20120912/lemma'))
print "Reading types"
read_types(open('/bibdev/travail/typage/typage_biotope_task3.4/data/expe_20120912/types'))
print "Reading heads"
read_heads(open('/bibdev/travail/typage/typage_biotope_task3.4/data/expe_20120912/heads_tolearn_dico'), action='learn')
print "Saving"
test.save(prefix='/bibdev/travail/typage/typage_biotope_task3.4/dumps/expe1_20120912/expe1_20120912_after_learning')
# TAGGING
print "\nTAGGING"
print "Tagging heads"
read_heads(open('/bibdev/travail/typage/typage_biotope_task3.4/data/expe_20120912/heads_totag'), action='tag')
print "Saving"
test.save(prefix='/bibdev/travail/typage/typage_biotope_task3.4/dumps/expe1_20120912/expe1_20120912_after_tagging')
#trouves = 0
#non_trouves = 0
#for k,v in test.terms.items():
# print k, ':', v
# if hasattr(v, 'head') and hasattr(v, '_subsets'):
# trouves += 1
# else:
#read_terms(open('../data/mbto.obo'))
#read_heads(open('../data/mbto.heads'), action='learn')
#test.cleaning_helper()
print '#' * 100
#test.cleaning_helper()
# LEARNING
print 'LEARNING'
print "Reading lemma"
read_lemma(open('../data/expe1_20120910/lemma'))
print "Reading types"
read_types(open('../data/expe1_20120910/types'))
print "Reading heads"
read_heads(open('../data/expe1_20120910/heads_tolearn'), action='learn')
print "Saving"
test.save(prefix='../dumps/expe1_20120910/expe1_20120910_after_learning')
# TAGGING
print "\nTAGGING"
print "Tagging heads"
read_heads(open('../data/expe1_20120910/heads_totag'), action='tag')
print "Saving"
test.save(prefix='../dumps/expe1_20120910/expe1_20120910_after_tagging')
#trouves = 0
#non_trouves = 0
#for k,v in test.terms.items():
# print k, ':', v
# if hasattr(v, 'head') and hasattr(v, '_subsets'):
# trouves += 1
# else:
print "Reading onto"
read_terms(codecs.open(BASE_DATA + u'onto'))
print '%d terms currently in memory.\n' % len(test.terms)
print 'The following inconsistencies were found in the ontology:'
test.cleaning_helper()
print
print "Reading onto heads"
read_heads(codecs.open(BASE_DATA + u'heads_tolearn_onto', encoding='UTF-8'), action='learn')
print '%d terms currently in memory.\n' % len(test.terms)
print 'The following inconsistencies were found in the ontology:'
test.cleaning_helper()
print
print "Saving after learning onto"
test.save(prefix=BASE_DUMPS + EXPE + u'_after_learning_onto')
print '-' * 80
if FLAT_OK:
#############################################################################
# LEARNING FLAT RESOURCES
print 'LEARNING FLAT RESOURCES'
print '-' * 80
#############################################################################
print "Reading flat resources types"
read_types(codecs.open(BASE_DATA + u'types', encoding='UTF-8'))
print '%d terms currently in memory.\n' % len(test.terms)
print "Reading flat resources heads"
read_heads(codecs.open(BASE_DATA + u'heads_tolearn_dico', encoding='UTF-8'), action='learn')
def vote_person(id):
names[id]["likes"] += 1
test.save(names)
return redirect("/info/" + id)
def vote(id):
names[id]["likes"] += 1
test.save(names)
return redirect("/")
# read_terms(open('../data/mbto.obo'))
# read_heads(open('../data/mbto.heads'), action='learn')
# test.cleaning_helper()
print "#" * 100
# test.cleaning_helper()
# LEARNING
print "LEARNING"
print "Reading lemma"
read_lemma(open("../data/expe1_20120908/lemma"))
print "Reading types"
read_types(open("../data/expe1_20120908/types"))
print "Reading heads"
read_heads(open("../data/expe1_20120908/heads_tolearn"), action="learn")
print "Saving"
test.save(prefix="../dumps/expe1/expe1_20120908_after_learning")
# TAGGING
print "\nTAGGING"
print "Tagging heads"
read_heads(open("../data/expe1_20120908/heads_totag"), action="tag")
print "Saving"
test.save(prefix="../dumps/expe1/expe1_20120908_after_tagging")
# trouves = 0
# non_trouves = 0
# for k,v in test.terms.items():
# print k, ':', v
# if hasattr(v, 'head') and hasattr(v, '_subsets'):
# trouves += 1
# else:
elif prompt == 'update':
# Loop through all items and ask for a new value
for category, info in scentsyItems.items():
print(f"\nCategory: {category.title()}")
for item in info.keys():
try:
newValue = int(
input(f"How many {item.title()} do you have? >> "))
except ValueError:
newValue = 0
print(f"Update: {item.title()}: {newValue}\n")
scentsyItems[category][item] = newValue
save(scentsyItems)
continue
elif prompt == 'save':
# Save into .json file
save(scentsyItems)
elif prompt == 'delete':
# Delete an item from a category
category = input("What category are you looking for? >> ")
for key, value in scentsyItems.items():
if category == key:
print(
f"You have accessed the '{category.title()}' category.\n")
for nested_key, nested_value in value.items():
print(