Exemplo n.º 1
0
def extract_pizza_features(parse_tree):
    non_tops = set(search(parse_tree, 'negation_phrase topping_item'))
    all_tops = set(search(parse_tree, 'topping_item'))
    yes_tops = all_tops.difference(non_tops)

    crust_size = extract(parse_tree, 'crust_size') or 'medium'
    crust_type = extract(parse_tree, 'crust_type') or 'regular'
    crust = '{} {}'.format(crust_size, crust_type)

    num_pizzas = text_to_int(extract(parse_tree, 'number') or 'one')

    toppings = []
    for t in yes_tops:
        item = extract(t, 'topping_item')
        amount = 'normal'
        parent_ = parent(parse_tree, t)
        if parent and parent_[0] == 'ingredient':
            amount = extract(parent_, 'topping_amount') or amount
        toppings.append((item, amount))

    for t in non_tops:
        item = extract(t, 'topping_item')
        amount = 'none'
        toppings.append((item, amount))

    return {
        'crust': crust,
        'quantity': num_pizzas,
        'options': toppings,
    }
Exemplo n.º 2
0
def extract_pizza_features(parse_tree):
    non_tops = set(search(parse_tree, 'negation_phrase topping_item'))
    all_tops = set(search(parse_tree, 'topping_item'))
    yes_tops = all_tops.difference(non_tops)

    crust_size = extract(parse_tree, 'crust_size') or 'medium'
    crust_type = extract(parse_tree, 'crust_type') or 'regular'
    crust = '{} {}'.format(crust_size, crust_type)

    num_pizzas = text_to_int(extract(parse_tree, 'number') or 'one')

    toppings = []
    for t in yes_tops:
        item = extract(t, 'topping_item')
        amount = 'normal'
        parent_ = parent(parse_tree, t)
        if parent and parent_[0] == 'ingredient':
            amount = extract(parent_, 'topping_amount') or amount
        toppings.append((item, amount))

    for t in non_tops:
        item = extract(t, 'topping_item')
        amount = 'none'
        toppings.append((item, amount))

    return {
        'crust': crust,
        'quantity': num_pizzas,
        'options': toppings,
    }
Exemplo n.º 3
0
Arquivo: tmp.py Projeto: Machyne/pal
#!/usr/bin/env python
# coding: utf-8
#
# Copyright (c) 2015, PAL Team.
# All rights reserved. See LICENSE for details.

import pprint
from pal.grammars.grammars import make_chomsky_normal_form
from pal.grammars.grammars import parse_grammar_from_file
from pal.grammars.parser import parse, generate_grammar_features, extract, search, parent

string = 'how much for two medium thin pizza with extra pineapple but no cheese sauce or mushrooms'

grammar = parse_grammar_from_file('pal/grammars/services/dominos_grammar.txt')
make_chomsky_normal_form(grammar)
grammar_features = generate_grammar_features(grammar)
parse_tree = parse(string, grammar_features)
pprint.pprint(parse_tree)

print 'NOT'
for x in search(parse_tree, 'negation_phrase topping_item'):
    print extract(x, x[0])  # flatten
    print parent(parse_tree, x)[0]

print '\nWITH'
for x in set(search(parse_tree, 'topping_item')).difference(
        set(search(parse_tree, 'negation_phrase topping_item'))):
    print extract(x, x[0])  # flatten
    print parent(parse_tree, x)[0]
Exemplo n.º 4
0
Arquivo: tmp.py Projeto: Machyne/pal
#!/usr/bin/env python
# coding: utf-8
#
# Copyright (c) 2015, PAL Team.
# All rights reserved. See LICENSE for details.

import pprint
from pal.grammars.grammars import make_chomsky_normal_form
from pal.grammars.grammars import parse_grammar_from_file
from pal.grammars.parser import parse, generate_grammar_features, extract, search, parent

string = 'how much for two medium thin pizza with extra pineapple but no cheese sauce or mushrooms'

grammar = parse_grammar_from_file('pal/grammars/services/dominos_grammar.txt')
make_chomsky_normal_form(grammar)
grammar_features = generate_grammar_features(grammar)
parse_tree = parse(string, grammar_features)
pprint.pprint(parse_tree)


print 'NOT'
for x in search(parse_tree, 'negation_phrase topping_item'):
    print extract(x, x[0])  # flatten
    print parent(parse_tree, x)[0]


print '\nWITH'
for x in set(search(parse_tree, 'topping_item')).difference(set(search(parse_tree, 'negation_phrase topping_item'))):
    print extract(x, x[0])  # flatten
    print parent(parse_tree, x)[0]