def process_graphs(graphs):
engine = Engine(idd3.all_rulesets, idd3.all_transformations)
stats = defaultdict(int)
for index in range(len(graphs)):
print('-' * int(columns))
relations = []
for relation in graphs[index].nodes.values():
relations.append(Relation(**relation))
print(colored('Sentence %d:' % (index + 1), 'white', attrs=['bold']))
print('\t' + get_sentence(graphs[index]))
print(colored('Propositions:', 'white', attrs=['bold']))
try:
engine.analyze(relations)
for i, prop in enumerate(engine.props):
print(str(i + 1) + ' ' + str(prop))
stats[prop.kind] += 1
except Exception as e:
logger.error('{0} in engine.analyze: {1}'.format(
e.__class__.__name__, e))
print('-' * int(columns))
return stats
def process_graphs(graphs):
engine = Engine(idd3.all_rulesets, idd3.all_transformations)
stats = defaultdict(int)
for index in range(len(graphs)):
print('-' * int(columns))
relations = []
for relation in graphs[index].nodes.values():
relations.append(Relation(**relation))
print(colored('Sentence %d:' % (index + 1), 'white', attrs=['bold']))
print('\t' + get_sentence(graphs[index]))
print(colored('Propositions:', 'white', attrs=['bold']))
try:
engine.analyze(relations)
for i, prop in enumerate(engine.props):
print(str(i + 1) + ' ' + str(prop))
stats[prop.kind] += 1
except Exception as e:
logger.error('{0} in engine.analyze: {1}'.format(
e.__class__.__name__, e))
print('-' * int(columns))
return stats
def process_graphs(graphs, verbose=False):
engine = Engine(rules.all_rulesets, transform.all_transformations)
stats = defaultdict(int)
for index in range(len(graphs) - 1):
if verbose:
print('-' * int(columns))
relations = []
for node in graphs[index].nodes:
relation = graphs[index].nodes[node]
if relation['rel'] == 'ROOT':
relation['rel'] = 'root'
relations.append(Relation(**relation))
if verbose:
print(colored('Sentence %d:' % (index + 1), 'white', attrs=['bold']))
print('\t' + get_sentence(graphs[index]))
print(colored('Propositions:', 'white', attrs=['bold']))
try:
engine.analyze(relations)
for i, prop in enumerate(engine.props):
if verbose:
print(str(i + 1) + ' ' + str(prop))
stats[prop.kind] += 1
except Exception:
pass
if verbose:
print('-' * int(columns))
return stats
def demo():
graphs = nltk.parse.dependencygraph.DependencyGraph.load(argv[1])
index = int(argv[2]) - 1
engine = Engine(rules.all_rulesets, transform.all_transformations)
relations = []
for relation in graphs[index].nodelist:
relations.append(Relation(**relation))
print(colored('Sentence %d:' % (index + 1), 'white', attrs=['bold']))
pprint.pprint(relations)
print(colored('Propositions:', 'white', attrs=['bold']))
engine.analyze(relations)
for i, prop in enumerate(engine.props):
print(str(i + 1) + ' ' + str(prop))
print(colored('Unprocessed relations:', 'white', attrs=['bold']))
for relation in engine.get_unprocessed_relations(relations):
print(relation)
def demo():
graphs = nltk.parse.dependencygraph.DependencyGraph.load(argv[1])
index = int(argv[2]) - 1
engine = Engine(rules.all_rulesets, transform.all_transformations)
relations = []
for relation in graphs[index].nodelist:
relations.append(Relation(**relation))
print(colored('Sentence %d:' % (index + 1), 'white', attrs=['bold']))
pprint.pprint(relations)
print(colored('Propositions:', 'white', attrs=['bold']))
engine.analyze(relations)
for i, prop in enumerate(engine.props):
print(str(i + 1) + ' ' + str(prop))
print(colored('Unprocessed relations:', 'white', attrs=['bold']))
for relation in engine.get_unprocessed_relations(relations):
print(relation)
def process_graphs(graphs):
engine = Engine(rules.all_rulesets, transform.all_transformations)
stats = defaultdict(int)
for index in range(len(graphs) - 1):
print('-' * int(columns))
relations = []
for relation in graphs[index].nodelist:
relations.append(Relation(**relation))
print(colored('Sentence %d:' % (index + 1), 'white', attrs=['bold']))
print('\t' + get_sentence(graphs[index]))
print(colored('Propositions:', 'white', attrs=['bold']))
try:
engine.analyze(relations)
for i, prop in enumerate(engine.props):
print(str(i + 1) + ' ' + str(prop))
stats[prop.kind] += 1
except Exception:
pass
print('-' * int(columns))
return stats