def run_from_command_line():
logging.basicConfig(level=logging.INFO, format='%(message)s')
try:
relation_name = iepy.instance.rules.RELATION
except AttributeError:
logging.error("RELATION not defined in rules file")
sys.exit(1)
try:
relation = models.Relation.objects.get(name=relation_name)
except ObjectDoesNotExist:
logging.error("Relation {!r} not found".format(relation_name))
sys.exit(1)
# Load rules
rules = load_rules()
# Load evidences
evidences = CandidateEvidenceManager.candidates_for_relation(relation)
# Run the pipeline
iextractor = RuleBasedCore(relation, evidences, rules)
iextractor.start()
iextractor.process()
predictions = iextractor.predict()
output.dump_output_loop(predictions)
def run_from_command_line():
logging.basicConfig(level=logging.INFO, format='%(message)s')
try:
relation_name = iepy.instance.rules.RELATION
except AttributeError:
logging.error("RELATION not defined in rules file")
sys.exit(1)
try:
relation = models.Relation.objects.get(name=relation_name)
except ObjectDoesNotExist:
logging.error("Relation {!r} not found".format(relation_name))
sys.exit(1)
# Load rules
rules = load_rules()
# Load evidences
evidences = CandidateEvidenceManager.candidates_for_relation(relation)
# Run the pipeline
iextractor = RuleBasedCore(relation, rules)
iextractor.start()
iextractor.process()
predictions = iextractor.predict(evidences)
output.dump_output_loop(predictions)
def get_rules(rule_name):
# Load rules
rules = load_rules()
if rule_name:
rules = [x for x in rules if x.__name__ == rule_name]
if not rules:
logging.error("rule '{}' does not exists".format(rule_name))
sys.exit(1)
return rules
