def run_pipeline():
templates = {
'john': NNP(Male('John')),
'paul': NNP(Male('Paul')),
'george': NNP(Male('George')),
'ringo': NNP(Male('Ringo')),
'guitar': Noun('guitar'),
'bass': Noun('bass guitar'),
'drums': Noun('drum', features={
NUMBER.plural,
}),
'Happy': Clause(NP(Var(0)), VP('be', AdjP('happy'))),
'Play': Clause(NP(Var(0)), VP('play', NP(Var(1)))),
}
lex = Lexicaliser(templates=templates)
# FIXME: embedded coordination doesn't work; flatten or fix in simplenlg?
input_str = 'Play(john, guitar) & Play(paul, guitar) & ' \
'Play(george, bass) & Play(ringo, drums)'
sentence = lex(formula_to_rst(expr(input_str)))
for e in sentence.elements():
print(repr(e))
output_str = realise(sentence)
print(output_str)
def translate(formula, templates=None, simplifications=None):
if isinstance(formula, str):
formulas = [expr(f) for f in formula.split(';') if f.strip()]
pipeline = Nlg()
context = Context(ontology=None)
context.templates = templates or {}
doc = []
for f in formulas:
if simplifications:
for s in filter(lambda x: x in simplification_ops, simplifications):
f = simplification_ops[s](f)
doc.append(formula_to_rst(f))
translations = pipeline.process_nlg_doc2(doc, None, context)
return translations
def translate(request):
"""Read a given FOL formula as jason data and return it as text. """
response_data = {}
formula = request.POST['formula'].strip()
response_data['formula'] = formula
simplifications = [
x.strip() for x in request.POST.get('simplifications', '').split('|')
]
try:
realise = Realiser(host='roman.kutlak.info')
if formula:
template_instances = TemplateModel.objects.all()
templates = {}
errors = []
for t in template_instances:
name = t.name
try:
template = eval(t.content)
templates[name] = template
except Exception as e:
errors.append(
('danger', str(e))) # use bootstrap terminology...
lex = Lexicaliser(templates=templates)
response_data['text'] = realise(lex(formula_to_rst(expr(formula))))
response_data['status'] = 'success'
response_data['messages'] = json.dumps(errors)
else:
response_data[
'text'] = "Enter a formula first. E.g., 'happy(roman)'"
response_data['status'] = 'default'
except nltk.sem.logic.LogicalExpressionException as e:
response_data['text'] = str(e)
response_data['status'] = 'error'
except Exception as e:
logger.exception(e)
return JsonResponse(response_data)
def test_simple_predicate(self):
p = expr('Happy(john)')
spec = formula_to_rst(p)
self.assertEqual(PredicateMsg('Happy', 'john'), spec)
def test_simple_predicate(self):
p = expr('Happy(john)')
spec = formula_to_rst(p)
self.assertEqual(PredicateMsg(Expr('Happy', ['john'])), spec)