def main():
builder = OntoBuilder()
builder.build_knowledge_base('data/knowledge_base.txt')
builder.build_facts('data/fact_base.txt')
# builder.store('data/knowledge_base.json')
onto_container = OntoContainer()
# onto_container.load("data/sample1.json")
onto_container.load("data/knowledge_base.json")
onto_container.build_secondary_connections()
algo1 = Algorithm(onto_container=onto_container,
filename='algo/patterns/because_i_know.json')
algo2 = Algorithm(onto_container=onto_container,
filename='algo/patterns/inference_bridge.json')
algo3 = Algorithm(onto_container=onto_container,
filename='algo/patterns/resolve_ambiguity.json')
algo_container = AlgoContainer()
algo_container.add_algorithm(algo1)
algo_container.add_algorithm(algo2)
algo_container.add_algorithm(algo3)
brain = Brain(onto_container=onto_container, algo_container=algo_container)
input = 'what language do people speak in english speaking country?'
# input = 'what language people speak in Russia?'
# input = ['country', 'check', 'side', 'left', 'cross', 'street']
graph_walker = GraphWalker(brain=brain)
result = graph_walker.resolve(input)
print(result)
def main():
builder = OntoBuilder2()
# builder.build_knowledge_base('data/knowledge_base.txt')
builder.build_facts('data/fact_base.txt')
builder.store('data/knowledge_base.json')
onto_container = OntoContainer()
onto_container.load("data/knowledge_base.json")
onto_container.build_secondary_connections()
algo1 = Algorithm(onto_container=onto_container, filename='algo/patterns/simple_connection.json')
algo_container = AlgoContainer()
algo_container.add_algorithm(algo1)
brain = Brain(onto_container=onto_container, algo_container=algo_container)
estimator = Estimator(brain)
algo_builder = AlgoBuilder(brain)
algo_builder.build_from('data/algo_base.txt', './algo/patterns')
# input = 'do people in a slavic speaking country speak english?'
input = 'do people in a USA speak english?'
# input = 'does USA have people?'
graph_walker = GraphWalker(brain=brain)
graph_walker.train_mode = True
result = graph_walker.resolve(input)
print(result)
exit()
def main():
builder = OntoBuilder()
builder.build_knowledge_base('data/knowledge_base.txt')
builder.build_facts('data/fact_base.txt')
# builder.store('data/knowledge_base.json')
onto_container = OntoContainer()
onto_container.load("data/knowledge_base.json")
onto_container.build_secondary_connections()
algo1 = Algorithm(onto_container=onto_container,
filename='algo/patterns/simple_connection.json')
algo_container = AlgoContainer()
algo_container.add_algorithm(algo1)
brain = Brain(onto_container=onto_container, algo_container=algo_container)
estimator = Estimator(brain)
algo_composer = AlgoComposer(brain=brain, estimator=estimator)
input = 'do people in Russia speak english?'
# input = 'does USA have people?'
graph_walker = GraphWalker(brain=brain)
graph_walker.train_mode = True
result = graph_walker.resolve(input)
print(result)
exit()
algorithm = algo_composer.compose(input, 'right')
if algorithm:
algorithm.save('algo/patterns/composed.json')
def main():
builder = OntoBuilder2()
builder.build_facts('data/fact_base.txt')
builder.store('data/knowledge_base.json')
onto_container = OntoContainer()
onto_container.load("data/knowledge_base.json")
onto_container.build_secondary_connections()
algo_container = AlgoContainer()
brain = Brain(onto_container=onto_container, algo_container=algo_container)
estimator = Estimator(brain)
algo_builder = AlgoBuilder(brain)
algo_builder.build_from('data/algo_base.txt', './algo/patterns')
algo_container.add_algorithm(
Algorithm(onto_container=onto_container,
filename='algo/patterns/closed_q_reply.json'))
algo_container.add_algorithm(
Algorithm(onto_container=onto_container,
filename='algo/patterns/what_question_reply.json'))
algo_container.add_algorithm(
Algorithm(onto_container=onto_container,
filename='algo/patterns/switch_context.json'))
algo_container.add_algorithm(
Algorithm(onto_container=onto_container,
filename='algo/patterns/get_closest.json'))
algo_container.attach_to_brain(brain)
# input = 'do people in a slavic speaking country speak english?'
input = 'do people in a USA speak english?'
# input = 'does USA have people?'
algo_runner = AlgoRunner(brain=brain)
result = algo_runner.run(input)
print(result)
from nlp import Clause
from onto.onto_container import OntoContainer
from onto_resolver import OntoResolver
container = OntoContainer()
container.load("onto/moneycare.json")
clause = Clause()
clause.load("test/sample_query3.json")
resolver = OntoResolver(container)
reply = resolver.get_reply(clause)
print(reply)
from onto.onto_container import OntoContainer
container = OntoContainer()
container.load("light_match.json")