def post(self):
content = self.request.get('content')
for line in content.split('\n'):
spelling, meaning = line.split(',')
word = Word()
word.spelling = spelling
word.meaning = meaning
word.put()
self.redirect('/words')
def get(self):
i = 0
for wordlist in wordlists:
wl = WordList(name="wordlist%02d" % i, owner=users.get_current_user())
wl.put()
for spelling, meaning in wordlist:
w = Word(spelling=spelling, meaning=meaning)
w.put()
m = WordMember(wordlist=wl, word=w)
m.put()
i += 1
self.redirect('/words')
def translate(self, value):
value = value.strip().lower()
word = Word.query.filter_by(word=value).first()
if word:
word.power += 1
db.session.commit()
return {'success': True, 'model': word}
response = self.request(value)
if response.status_code != 200:
return {'success': False, 'message': response.json()['message']}
word = Word()
word.word = value
word.definitions = response.json()['definitions']
db.session.add(word)
db.session.commit()
return {'success': True, 'model': word}
def add_words(self, sentence, parsed_sentence, raw_text):
"""Given a Sentence and its parsed text, and find the PoS, lemmas,
and space_befores of each word in the sentence, and add them to the
Sentence object.
"""
words = dict()
position = 0
space = re.compile(r'\s')
cr = re.compile(r'[\n\r]')
for word_data in parsed_sentence["words"]:
surface = word_data[0]
part_of_speech = word_data[1]["PartOfSpeech"]
try:
lemma = word_data[1]["Lemma"].lower()
except AttributeError as err:
# this word wasn't recognized as a word by the parser,
# it's probably a weird character or something
lemma = "*" * (int(word_data[1]["CharacterOffsetEnd"]) - int(word_data[1]["CharacterOffsetBegin"]))
surface = "*" * (int(word_data[1]["CharacterOffsetEnd"]) - int(word_data[1]["CharacterOffsetBegin"]))
space_before = ""
try:
prevChar = raw_text[int(word_data[1]["CharacterOffsetBegin"]) - 1]
if space.match(prevChar):
if cr.match(prevChar):
space_before = "\n"
else:
space_before = " "
except IndexError:
pass
key = (surface.lower(), part_of_speech, lemma)
if key in words:
word = words[key]
else:
try:
word = Word.query.filter_by(lemma=lemma, surface=surface.lower(),
part_of_speech=part_of_speech).one()
except MultipleResultsFound:
project_logger.warning("Duplicate records found for: %s",
str(key))
except NoResultFound:
word = Word(lemma=lemma, surface=surface.lower(), part_of_speech=part_of_speech)
word.save(False)
words[key] = word
sentence.add_word(
word=word,
position=position,
space_before=space_before,
surface=surface,
project=self.project,
force=False
)
position += 1
db.session.commit()
def add_words(self, sentence, parsed_sentence, raw_text):
"""Given a Sentence and its parsed text, and find the PoS, lemmas,
and space_befores of each word in the sentence, and add them to the
Sentence object.
"""
words = dict()
position = 0
space = re.compile(r'\s')
cr = re.compile(r'[\n\r]')
for word_data in parsed_sentence["words"]:
surface = word_data[0]
part_of_speech = word_data[1]["PartOfSpeech"]
try:
lemma = word_data[1]["Lemma"].lower()
except AttributeError as err:
# this word wasn't recognized as a word by the parser,
# it's probably a weird character or something
lemma = "*" * (int(word_data[1]["CharacterOffsetEnd"]) -
int(word_data[1]["CharacterOffsetBegin"]))
surface = "*" * (int(word_data[1]["CharacterOffsetEnd"]) -
int(word_data[1]["CharacterOffsetBegin"]))
space_before = ""
try:
prevChar = raw_text[int(word_data[1]["CharacterOffsetBegin"]) -
1]
if space.match(prevChar):
if cr.match(prevChar):
space_before = "\n"
else:
space_before = " "
except IndexError:
pass
key = (surface.lower(), part_of_speech, lemma)
if key in words:
word = words[key]
else:
try:
word = Word.query.filter_by(
lemma=lemma,
surface=surface.lower(),
part_of_speech=part_of_speech).one()
except MultipleResultsFound:
project_logger.warning("Duplicate records found for: %s",
str(key))
except NoResultFound:
word = Word(lemma=lemma,
surface=surface.lower(),
part_of_speech=part_of_speech)
word.save(False)
words[key] = word
sentence.add_word(word=word,
position=position,
space_before=space_before,
surface=surface,
project=self.project,
force=False)
position += 1
db.session.commit()
"definition": "the quantity contained in a bottle",
"partOfSpeech": "noun"
}, {
"definition":
"a vessel fitted with a flexible teat and filled with milk or formula; used as a substitute for breast feeding infants and very young children",
"partOfSpeech": "noun"
}, {
"definition":
"a glass or plastic vessel used for storing drinks or other liquids; typically cylindrical without handles and with a narrow neck that can be plugged or capped",
"partOfSpeech": "noun"
}, {
"definition": "put into bottles",
"partOfSpeech": "verb"
}, {
"definition": "store (liquids or gases) in bottles",
"partOfSpeech": "verb"
}]
word_one = Word()
word_one.word = "flask"
word_one.definitions = definition_one
word_two = Word()
word_two.word = "bottle"
word_two.definitions = definition_two
db.session.add(word_one)
db.session.add(word_two)
db.session.commit()
