def decodeInventoryEntry_level1(document):
"""
Decodes a basic entry such as: '6 lobster cake' or '6' cakes
@param document : NLP Doc object
:return: Status if decoded correctly (true, false), and Inventory object
"""
count = Inventory(str(document))
for token in document:
if token.pos_ == (u'NOUN' or u'NNS' or u'NN'):
item = str(token)
for child in token.children:
if child.dep_ == u'compound' or child.dep_ == u'ad':
item = str(child) + str(item)
elif child.dep_ == u'nummod':
count.amount = str(child).strip()
for numerical_child in child.children:
# this isn't arithmetic rather than treating it such as a string
count.amount = str(numerical_child) + str(count.amount).strip()
else:
print "WARNING: unknown child: " + str(child) + ':'+str(child.dep_)
count.item = item
count.unit = item
return count
def decodeInventoryEntry_level2(document):
"""
Entry level 2, a more complicated parsing scheme that covers examples such as
'i have 80 boxes of freshly baked pies'
@document @param document : NLP Doc object
:return: Status if decoded correctly (true, false), and Inventory object-
"""
count = Inventory(str(document))
for token in document:
# Look for a preposition object that is a noun (this is the item we are counting).
# If found, look at its' dependency (if a preposition that is not indicative of
# inventory location, the dependency of the preposition must be a noun
if token.dep_ == (u'pobj' or u'meta') and token.pos_ == (u'NOUN' or u'NNS' or u'NN'):
item = ''
# Go through all the token's children, these are possible adjectives and other add-ons
# this deals with cases such as 'hollow rounded waffle pancakes"
for i in token.children:
item += ' ' + str(i)
item += ' ' + str(token)
count.item = item
# Get the head of the item:
if token.head.dep_ != u'prep':
# Break out of the loop, this is a confusing entry
break
else:
amountUnit = token.head.head
count.unit = str(amountUnit)
for inner in amountUnit.children:
if inner.pos_ == u'NUM':
count.amount += str(inner)
return count
