def test_pipeline():
RULE = rule(pipeline(['a b c', 'b c']), 'd')
parser = Parser(RULE)
assert parser.match('b c d')
assert parser.match('a b c d')
RULE = rule(pipeline(['a b']).repeatable(), 'c')
parser = Parser(RULE)
assert parser.match('a b a b c')
RULE = rule(caseless_pipeline(['A B']), 'c')
parser = Parser(RULE)
assert parser.match('A b c')
RULE = morph_pipeline([
'текст',
'текст песни',
'материал',
'информационный материал',
])
parser = Parser(RULE)
matches = list(parser.findall('текстом песни музыкальной группы'))
assert len(matches) == 1
match = matches[0]
assert [_.value for _ in match.tokens] == ['текстом', 'песни']
matches = list(parser.findall('информационного материала под названием'))
assert len(matches) == 1
match = matches[0]
assert [_.value for _ in match.tokens] == ['информационного', 'материала']
RULE = morph_pipeline(['1 B.'])
parser = Parser(RULE)
assert parser.match('1 b .')
def get_rules():
RU = type('RU')
INT = type('INT')
NONE = type('NONE')
NOUN = gram('NOUN')
ADJF = gram('ADJF')
NAME = gram('Name')
PREP = gram('PREP')
#GEO=gram('Geox')
GEO = rule(
and_(
gram('Geox'),
not_(
or_(
eq('артема'),
eq('фармана'),
eq('оскол'),
eq('мунарева'),
))))
NAME_OR_NOUN = or_(NAME, NOUN)
CITY = morph_pipeline(['город', 'Нижний', 'новгород'])
CITY_EXEP = rule(morph_pipeline(['артем', 'фармана', 'оскол']))
CITY_NOT = rule(not_(or_(eq('артем'), eq('фармана'), eq('оскол'), INT)))
CITY_PITER = rule(eq('санкт'), eq('-'), eq('петербург'))
COMPLICATED_CITY = or_(rule(CITY.optional(), GEO), CITY_PITER)
FINAL_CITY = or_(COMPLICATED_CITY)
return FINAL_CITY
def __init__(self, logger=None, env='local'):
self.env = env
if logger is None:
self.logger = logging.getLogger("OGRNExtractor")
self.logger.setLevel(logging.DEBUG)
handler = RotatingFileHandler("ogrn_extractor.log",
mode='a',
encoding='utf-8',
backupCount=5,
maxBytes=1 * 1024 * 1024)
formatter = logging.Formatter(
'%(asctime)s - %(name)s - %(levelname)s - %(message)s')
handler.setFormatter(formatter)
self.logger.addHandler(handler)
else:
self.logger = logger
self.tokenizer = MorphTokenizer()
OGRN = morph_pipeline([
'огрн', 'основной государственный регистрационный номер', 'огрнип'
])
INT = type('INT')
OGRN_NUMBER = rule(OGRN, INT)
self.full_ogrn_parser = Parser(OGRN_NUMBER)
self.ogrn_num_parser = Parser(rule(INT))
def test_type_errors():
F = fact('F', ['a'])
RULE = rule(
'a',
eq('1').interpretation(
custom(int)
)
).interpretation(
F.a
)
parser = Parser(RULE)
match = parser.match('a 1')
with pytest.raises(TypeError):
match.fact
F = fact('F', ['a'])
RULE = rule(
'a',
eq('1').interpretation(
custom(int)
)
).interpretation(
custom(str)
)
parser = Parser(RULE)
match = parser.match('a 1')
with pytest.raises(TypeError):
match.fact
def test_person():
Name = fact(
'Name',
['first', 'last'],
)
Person = fact('Person', ['position', 'name'])
LAST = and_(
gram('Surn'),
not_(gram('Abbr')),
)
FIRST = and_(
gram('Name'),
not_(gram('Abbr')),
)
POSITION = morph_pipeline(['управляющий директор', 'вице-мэр'])
gnc = gnc_relation()
NAME = rule(
FIRST.interpretation(Name.first).match(gnc),
LAST.interpretation(Name.last).match(gnc)).interpretation(Name)
PERSON = rule(
POSITION.interpretation(Person.position).match(gnc),
NAME.interpretation(Person.name)).interpretation(Person)
parser = Parser(PERSON)
match = parser.match('управляющий директор Иван Ульянов')
assert match
assert match.fact == Person(position='управляющий директор',
name=Name(first='Иван', last='Ульянов'))
def test_type_errors():
F = fact('F', ['a'])
RULE = rule(
'a',
eq('1').interpretation(
custom(int)
)
).interpretation(
F.a
)
parser = Parser(RULE)
match = parser.match('a 1')
with pytest.raises(TypeError):
match.fact
F = fact('F', ['a'])
RULE = rule(
'a',
eq('1').interpretation(
custom(int)
)
).interpretation(
custom(str)
)
parser = Parser(RULE)
match = parser.match('a 1')
with pytest.raises(TypeError):
match.fact
def test_merge_facts():
F = fact('F', ['a', 'b'])
A = rule(eq('a').interpretation(F.a)).interpretation(F)
B = rule(eq('b').interpretation(F.b)).interpretation(F)
RULE = rule(A, B).interpretation(F)
parser = Parser(RULE)
match = parser.match('a b')
record = match.fact
assert record == F(a='a', b='b')
assert record.spans == [(0, 1), (2, 3)]
assert record.as_json == {'a': 'a', 'b': 'b'}
def __init__(self, logger = None, env = 'local'):
self.env = env
if logger is None:
self.logger = logging.getLogger("AdsExtractor")
self.logger.setLevel(logging.DEBUG)
handler = RotatingFileHandler("ads_extractor.log", mode='a', encoding='utf-8', backupCount=5,
maxBytes=1 * 1024 * 1024)
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
handler.setFormatter(formatter)
self.logger.addHandler(handler)
else:
self.logger = logger
self.texttools = texttools.TextTools(self.logger)
self.tokenizer = MorphTokenizer()
self.morph = pymorphy2.MorphAnalyzer()
EXCLUDE = morph_pipeline([
'без',
'не',
'вправе отказаться',
'может отказаться',
'услуга'
])
AGREEMENT = morph_pipeline([
'соглашаться с получением'
])
SUBJECT = morph_pipeline([
'рассылка',
'предложение'
])
KIND = morph_pipeline([
'рекламный'
])
SPECIALS = morph_pipeline([
'рекламныя цель'
])
ADS = or_(
rule(KIND, SUBJECT),
rule(SUBJECT, KIND),
or_(SPECIALS, AGREEMENT)
)
self.ads_parser = Parser(ADS)
self.exclude_parser = Parser(rule(EXCLUDE))
def get_hyperonyms(main_word):
HYPONYM = eq(utils.deaccent(main_word))
RULE = or_(rule(HYPONYM, ATAKJE, START, MID, END), rule(HYPONYM, MID, END),
rule(START_S, END, KAK, HYPONYM), rule(END, INCLUDING, HYPONYM))
parser = Parser(RULE)
text = utils.deaccent(wikipedia.summary(main_word))
print(text)
text = re.sub(r'\(.+?\)', '', text)
text = text.lower().replace('* сергии радонежскии* ', '')
for idx, match in enumerate(parser.findall(text.lower())):
k = [_.value for _ in match.tokens]
print(k)
def get_first_rules():
RU = type('RU')
INT = type('INT')
NONE = type('NONE')
NOUN= gram('NOUN')
ADJF = gram('ADJF')
ANIM=gram('anim')
GENT=gram('gent')
SGTM=gram('Sgtm')
CONJ=gram('CONJ')
PATR=gram('Patr')
NAME = gram('Name')
PREP=gram('PREP')
STATE=or_(
eq('моторин'),
eq('юрок'),
eq('вакула'),
eq('эйхвальд'),
eq('иммуно'),
eq('из'),
eq('славы'),
eq('хайбулаев'),
eq('михална'),
eq('валиде'),
eq('шиян'),
eq('сим'),
eq('мазитов'),
eq('хамидов')
)
NAME_CONST=rule(
and_(
NAME,
ANIM,
not_(
SGTM
),
not_(STATE)
)
)
COMPLICATED=rule(
NAME_CONST.repeatable()
)
FINAL = or_(COMPLICATED)
return FINAL
def test_repeatable_optional():
A = rule('a')
assert_bnf(
A.optional().repeatable(),
"R0 -> e | 'a' R0 | 'a'",
)
assert_bnf(
A.repeatable().optional(),
"R0 -> e | 'a' R0 | 'a'",
)
assert_bnf(
A.repeatable().optional().repeatable(),
"R0 -> e | 'a' R0 | 'a'",
)
assert_bnf(A.repeatable().repeatable(), "R0 -> 'a' R0 | 'a'")
assert_bnf(
A.optional().optional(),
"R0 -> e | 'a'",
)
assert_bnf(A.repeatable(max=2).repeatable(), "R0 -> 'a' R0 | 'a'")
assert_bnf(A.repeatable().repeatable(min=1, max=2), "R0 -> 'a' R0 | 'a'")
assert_bnf(A.optional().repeatable(max=2), 'R0 -> e | R1',
"R1 -> 'a' 'a' | 'a'")
assert_bnf(A.repeatable(reverse=True).optional(), "R0 -> e | 'a' | 'a' R0")
assert_bnf(A.repeatable().repeatable(reverse=True), "R0 -> 'a' | 'a' R0")
assert_bnf(
A.repeatable(reverse=True).repeatable(min=1, max=2),
"R0 -> 'a' | 'a' R0")
assert_bnf(A.repeatable().repeatable(min=2, reverse=True),
"R0 -> 'a' R0 | 'a'")
assert_bnf(A.repeatable(max=2, reverse=True), "R0 -> 'a' | 'a' 'a'")
def test_name():
Name = fact(
'Name',
['first', 'last']
)
gnc = gnc_relation()
FIRST = gram('Name').interpretation(
Name.first.inflected()
).match(gnc)
LAST = gram('Surn').interpretation(
Name.last.inflected()
).match(gnc)
NAME = rule(
FIRST,
LAST
).interpretation(Name)
parser = Parser(NAME)
match = parser.match('саше иванову')
assert match.fact == Name(first='саша', last='иванов')
match = parser.match('сашу иванову')
assert match.fact == Name(first='саша', last='иванова')
match = parser.match('сашу ивановой')
assert not match
def __init__(self, name=None):
self.section_rule = rule(
dictionary({"раздел", "тема", "дисциплина", "наименование"}))
self.lectures_rule = rule(
morph_pipeline([
'тема лекций', 'содержание занятий',
'содержание лекционного занятия'
]))
self.pract_rule = rule(morph_pipeline(['наименование']))
self.srs_rule = rule(morph_pipeline(['СРС']))
self.docxdoc = DocumentPrepare(name).open_doc()
def update_rules(name):
NAME = pipeline(name).interpretation(Socdem.name)
SOCDEM_ELEMS = rule(or_(NAME, GENDER, date.DATE, AGE, LOCATION))
SOCDEM = rule(
NAME, GENDER.optional(),
or_(
rule(AGE.optional(),
date.DATE.interpretation(Socdem.date_of_birth).optional()),
rule(
date.DATE.interpretation(Socdem.date_of_birth).optional(),
AGE.optional()),
), LOCATION.optional()).interpretation(Socdem)
return SOCDEM_ELEMS, SOCDEM
def __init__(self, names: list = [], version_numbers: list = [], version_names: list = [], consoles: list = []):
rules = rule(morph_pipeline(names).interpretation(self.__game.name.const(names[0])),
morph_pipeline(version_numbers).interpretation(self.__game.version_number).optional(),
morph_pipeline(version_names).interpretation(self.__game.version_name).optional(),
morph_pipeline(consoles).interpretation(self.__game.console).optional())
game = or_(rules).interpretation(self.__game)
self.parser = Parser(game)
def test_inflected_custom():
MONTHS = {'январь': 1}
RULE = rule('январе').interpretation(
inflected({'nomn', 'sing'}).custom(MONTHS.get))
parser = Parser(RULE)
match = parser.match('январе')
assert match.fact == 1
def _abbreviate(word: str, abbrs: List[str], opt=False):
abbrs, dashed = partition(lambda abbr: '-' in abbr, abbrs)
dashed = map(
lambda a: rule(*map(caseless, intersperse('-', a.split('-')))), dashed)
original_word = rule(normalized(word))
dashed_sequence = rule(or_(*dashed))
abbr_with_dot = rule(
or_(*map(caseless, abbrs)),
eq('.').optional(),
)
result = or_(original_word, dashed_sequence, abbr_with_dot) \
.interpretation(interpretation.const(word))
return result.optional() if opt else result
def get_all_collocation(lines, word):
"""
Function for finding all collocations of word and any word after it.
:param lines: list of string
Lines for processing.
:param word: str
Word for searching.
:return:
List of all valid collocations.
"""
if not isinstance(lines, list) or not isinstance(word, str):
raise TypeError
gr = rule(normalized(word),
and_(not_(yargy_type('PUNCT')), not_(yargy_type('OTHER'))))
result_list = []
for line in lines:
if not isinstance(line, str):
raise TypeError
for match in Parser(gr).findall(line):
result_list.append(' '.join(
[Normalizer.normalise(token.value) for token in match.tokens]))
return result_list
def test_merge_facts():
F = fact('F', ['a', 'b'])
A = rule(
eq('a').interpretation(F.a)
).interpretation(F)
B = rule(
eq('b').interpretation(F.b)
).interpretation(F)
RULE = rule(
A, B
).interpretation(F)
parser = Parser(RULE)
match = parser.match('a b')
record = match.fact
assert record == F(a='a', b='b')
assert record.spans == [(0, 1), (2, 3)]
assert record.as_json == {'a': 'a', 'b': 'b'}
def test_inflected_custom_attribute():
F = fact('F', ['a'])
MONTHS = {'январь': 1}
RULE = rule('январе').interpretation(
F.a.inflected({'nomn', 'sing'}).custom(MONTHS.get)).interpretation(F)
parser = Parser(RULE)
match = parser.match('январе')
assert match.fact == F(a=1)
def test_normalized_custom_attribute():
F = fact('F', ['a'])
MONTHS = {'январь': 1}
RULE = rule('январе').interpretation(F.a.normalized().custom(
MONTHS.get)).interpretation(F)
parser = Parser(RULE)
match = parser.match('январе')
assert match.fact == F(a=1)
def test_inflected():
RULE = rule(
'московским'
).interpretation(
inflected({'nomn', 'femn'})
)
parser = Parser(RULE)
match = parser.match('московским')
assert match.fact == 'московская'
def test_rule_custom():
RULE = rule(
'3', '.', '14'
).interpretation(
custom(float)
)
parser = Parser(RULE)
match = parser.match('3.14')
assert match.fact == 3.14
def text_normalized():
RULE = rule(
'московским'
).interpretation(
normalized()
)
parser = Parser(RULE)
match = parser.match('московским')
assert match.fact == 'московский'
def test_inflected():
RULE = rule(
'московским'
).interpretation(
inflected({'nomn', 'femn'})
)
parser = Parser(RULE)
match = parser.match('московским')
assert match.fact == 'московская'
def test_const():
RULE = rule(
'a'
).interpretation(
const(1)
)
parser = Parser(RULE)
match = parser.match('a')
assert match.fact == 1
def test_const():
RULE = rule(
'a'
).interpretation(
const(1)
)
parser = Parser(RULE)
match = parser.match('a')
assert match.fact == 1
def test_rule_custom():
RULE = rule(
'3', '.', '14'
).interpretation(
custom(float)
)
parser = Parser(RULE)
match = parser.match('3.14')
assert match.fact == 3.14
def text_normalized():
RULE = rule(
'московским'
).interpretation(
normalized()
)
parser = Parser(RULE)
match = parser.match('московским')
assert match.fact == 'московский'
def test_attribute_normalized():
F = fact('F', 'a')
RULE = rule('январе').interpretation(F.a.normalized()).interpretation(F)
parser = Parser(RULE)
match = parser.match('январе')
record = match.fact
assert record == F(a='январь')
assert record.spans == [(0, 6)]
assert record.as_json == {'a': 'январь'}
def test_bnf():
from yargy.interpretation import fact
from yargy.relations import gnc_relation
F = fact('F', ['a'])
gnc = gnc_relation()
assert_bnf(rule('a').named('A').interpretation(F), "F -> 'a'")
assert_bnf(
rule('a').interpretation(F.a).interpretation(F), 'F -> F.a',
"F.a -> 'a'")
assert_bnf(rule('a').match(gnc).interpretation(F.a), "F.a^gnc -> 'a'")
assert_bnf(
rule('a').interpretation(F.a).repeatable(), 'R0 -> F.a | F.a R0',
"F.a -> 'a'")
assert_bnf(
rule('a').repeatable().interpretation(F.a), 'F.a -> R1',
"R1 -> 'a' | 'a' R1")
def test_rule_attribute():
F = fact('F', ['a'])
RULE = rule('a', 'A').interpretation(F.a).interpretation(F)
parser = Parser(RULE)
match = parser.match('a A')
record = match.fact
assert record == F(a='a A')
assert record.spans == [(0, 5)]
assert record.as_json == {'a': 'a A'}
def test_attribute_custom():
F = fact('F', 'a')
RULE = rule('1').interpretation(F.a.custom(int)).interpretation(F)
parser = Parser(RULE)
match = parser.match('1')
record = match.fact
assert record == F(a=1)
assert record.spans == [(0, 1)]
assert record.as_json == {'a': 1}
def test_attribute_custom_custom():
F = fact('F', 'a')
MAPPING = {'a': 1}
RULE = rule('A').interpretation(F.a.custom(str.lower).custom(
MAPPING.get)).interpretation(F)
parser = Parser(RULE)
match = parser.match('A')
record = match.fact
assert record == F(a=1)
def test_rule_custom_custom():
MAPPING = {'a': 1}
RULE = rule(
'A'
).interpretation(
custom(str.lower).custom(MAPPING.get)
)
parser = Parser(RULE)
match = parser.match('A')
assert match.fact == 1
def test_constant_attribute():
MONEY_RULE = rule(
gram('INT').interpretation(Money.count),
dictionary({'тысяча'}).interpretation(Money.base.const(10**3)),
dictionary({'рубль', 'доллар'}).interpretation(Money.currency),
).interpretation(Money)
parser = Parser(MONEY_RULE)
matches = list(parser.match('1 тысяча рублей'))
assert matches[0].fact == Money(count=1, base=1000, currency='рублей')
def test_attribute():
F = fact('F', 'a')
RULE = rule(
'a'
).interpretation(
F.a
)
parser = Parser(RULE)
match = parser.match('a')
assert match.fact == 'a'
def define(self, item, *items):
from yargy import rule
if not items and is_rule(item):
if isinstance(item, ForwardRule):
raise ValueError('forward(forward(...)) not allowed')
self.rule = item
else:
self.rule = rule(item, *items)
return self
def test_attribute_const():
F = fact('F', 'a')
RULE = rule(
'январь'
).interpretation(
F.a.const(1)
)
parser = Parser(RULE)
match = parser.match('январь')
assert match.fact == 1
def test_insted_attributes():
F = fact('F', ['a', 'b'])
RULE = rule(eq('a').interpretation(F.a)).interpretation(
F.b).interpretation(F)
parser = Parser(RULE)
match = parser.match('a')
record = match.fact
assert record == F(a=None, b='a')
assert record.spans == [(0, 1)]
assert record.as_json == {'b': 'a'}
def test_pipeline():
RULE = rule(
pipeline(['a b c', 'b c']),
'd'
)
parser = Parser(RULE)
assert parser.match('b c d')
assert parser.match('a b c d')
RULE = rule(
pipeline(['a b']).repeatable(),
'c'
)
parser = Parser(RULE)
assert parser.match('a b a b c')
RULE = rule(
caseless_pipeline(['A B']),
'c'
)
parser = Parser(RULE)
assert parser.match('A b c')
RULE = morph_pipeline([
'текст',
'текст песни',
'материал',
'информационный материал',
])
parser = Parser(RULE)
matches = list(parser.findall('текстом песни музыкальной группы'))
assert len(matches) == 1
match = matches[0]
assert [_.value for _ in match.tokens] == ['текстом', 'песни']
matches = list(parser.findall('информационного материала под названием'))
assert len(matches) == 1
match = matches[0]
assert [_.value for _ in match.tokens] == ['информационного', 'материала']
RULE = morph_pipeline(['1 B.'])
parser = Parser(RULE)
assert parser.match('1 b .')
def test_predicate_attribute():
F = fact('F', ['a'])
RULE = rule(
eq('a').interpretation(F.a)
).interpretation(F)
parser = Parser(RULE)
match = parser.match('a')
record = match.fact
assert record == F(a='a')
assert record.spans == [(0, 1)]
assert record.as_json == {'a': 'a'}
def test_rule_attribute_custom():
F = fact('F', ['a'])
RULE = rule(
'1'
).interpretation(
F.a
).interpretation(
custom(int)
)
parser = Parser(RULE)
match = parser.match('1')
assert match.fact == 1
def test_inflected_custom():
MONTHS = {
'январь': 1
}
RULE = rule(
'январе'
).interpretation(
inflected({'nomn', 'sing'}).custom(MONTHS.get)
)
parser = Parser(RULE)
match = parser.match('январе')
assert match.fact == 1
def test_normalized_custom():
MONTHS = {
'январь': 1
}
RULE = rule(
'январе'
).interpretation(
normalized().custom(MONTHS.get)
)
parser = Parser(RULE)
match = parser.match('январе')
assert match.fact == 1
def test_insted_attributes():
F = fact('F', ['a', 'b'])
RULE = rule(
eq('a').interpretation(F.a)
).interpretation(
F.b
).interpretation(F)
parser = Parser(RULE)
match = parser.match('a')
record = match.fact
assert record == F(a=None, b='a')
assert record.spans == [(0, 1)]
assert record.as_json == {'b': 'a'}
def test_repeatable():
F = fact('F', [attribute('a').repeatable()])
RULE = rule(
eq('a').interpretation(F.a),
eq('b').interpretation(F.a)
).interpretation(
F
)
parser = Parser(RULE)
match = parser.match('a b')
record = match.fact
assert record == F(a=['a', 'b'])
assert record.spans == [(0, 1), (2, 3)]
assert record.as_json == {'a': ['a', 'b']}
def test_attribute_custom_custom():
F = fact('F', 'a')
MAPPING = {'a': 1}
RULE = rule(
'A'
).interpretation(
F.a.custom(str.lower).custom(MAPPING.get)
).interpretation(
F
)
parser = Parser(RULE)
match = parser.match('A')
record = match.fact
assert record == F(a=1)
def test_inflected_custom_attribute():
F = fact('F', ['a'])
MONTHS = {
'январь': 1
}
RULE = rule(
'январе'
).interpretation(
F.a.inflected({'nomn', 'sing'}).custom(MONTHS.get)
).interpretation(
F
)
parser = Parser(RULE)
match = parser.match('январе')
assert match.fact == F(a=1)
def test_attribute_normalized():
F = fact('F', 'a')
RULE = rule(
'январе'
).interpretation(
F.a.normalized()
).interpretation(
F
)
parser = Parser(RULE)
match = parser.match('январе')
record = match.fact
assert record == F(a='январь')
assert record.spans == [(0, 6)]
assert record.as_json == {'a': 'январь'}
def test_attribute_custom():
F = fact('F', 'a')
RULE = rule(
'1'
).interpretation(
F.a.custom(int)
).interpretation(
F
)
parser = Parser(RULE)
match = parser.match('1')
record = match.fact
assert record == F(a=1)
assert record.spans == [(0, 1)]
assert record.as_json == {'a': 1}
def test_attribute_inflected():
F = fact('F', 'a')
RULE = rule(
'январе'
).interpretation(
F.a.inflected({'nomn', 'plur'})
).interpretation(
F
)
parser = Parser(RULE)
match = parser.match('январе')
record = match.fact
assert record == F(a='январи')
assert record.spans == [(0, 6)]
assert record.as_json == {'a': 'январи'}
def test_normalized_custom_attribute():
F = fact('F', ['a'])
MONTHS = {
'январь': 1
}
RULE = rule(
'январе'
).interpretation(
F.a.normalized().custom(MONTHS.get)
).interpretation(
F
)
parser = Parser(RULE)
match = parser.match('январе')
assert match.fact == F(a=1)
def test_nested_facts():
F = fact('F', ['a'])
G = fact('G', ['b'])
RULE = rule(
eq('a').interpretation(F.a)
).interpretation(
F
).interpretation(
G.b
).interpretation(
G
)
parser = Parser(RULE)
match = parser.match('a')
record = match.fact
assert record == G(b=F(a='a'))
assert record.spans == [(0, 1)]
assert record.as_json == {'b': {'a': 'a'}}
MONTH = and_(
gte(1),
lte(12)
).interpretation(
Date.month.custom(int)
)
DAY = and_(
gte(1),
lte(31)
).interpretation(
Date.day.custom(int)
)
YEAR_WORD = or_(
rule('г', eq('.').optional()),
rule(normalized('год'))
)
YEAR = and_(
gte(1000),
lte(2100)
).interpretation(
Date.year.custom(int)
)
YEAR_SHORT = and_(
length_eq(2),
gte(0),
lte(99)
).interpretation(
EURO = or_(
normalized('евро'),
eq('€')
).interpretation(
const(dsl.EURO)
)
DOLLARS = or_(
normalized('доллар'),
eq('$')
).interpretation(
const(dsl.DOLLARS)
)
RUBLES = or_(
rule(normalized('рубль')),
rule(
or_(
caseless('руб'),
caseless('р'),
eq('₽')
),
DOT.optional()
)
).interpretation(
const(dsl.RUBLES)
)
CURRENCY = or_(
EURO,
DOLLARS,
['number', 'type']
)
DASH = eq('-')
DOT = eq('.')
ADJF = gram('ADJF')
NOUN = gram('NOUN')
INT = type('INT')
TITLE = is_title()
ANUM = rule(
INT,
DASH.optional(),
in_caseless({
'я', 'й', 'е',
'ое', 'ая', 'ий', 'ой'
})
)
#########
#
# STRANA
#
##########
# TODO
COUNTRY_VALUE = dictionary({
'россия',
'агроном',
'президент',
'сопрезидент',
'вице-президент',
'экс-президент',
'председатель',
'руководитель',
'директор',
'глава',
])
GENT = gram('gent')
WHERE = or_(
rule(GENT),
rule(GENT, GENT),
rule(GENT, GENT, GENT),
rule(GENT, GENT, GENT, GENT),
rule(GENT, GENT, GENT, GENT, GENT),
)
POSITION = or_(
POSITION,
rule(POSITION, WHERE)
).interpretation(
Person.position
)
NAME = NAME.interpretation(
Person.name
ABBR,
TITLE
).interpretation(
Name.middle
).match(gnc)
#########
#
# FI IF
#
#########
FIRST_LAST = rule(
FIRST,
LAST
)
LAST_FIRST = rule(
LAST,
FIRST
)
###########
#
# ABBR
#
###########
from yargy.relations import gnc_relation
Location = fact(
'Location',
['name'],
)
gnc = gnc_relation()
REGION = rule(
gram('ADJF').match(gnc),
dictionary({
'край',
'район',
'область',
'губерния',
'уезд',
}).match(gnc),
).interpretation(Location.name.inflected())
gnc = gnc_relation()
FEDERAL_DISTRICT = rule(
rule(caseless('северо'), '-').optional(),
dictionary({
'центральный',
'западный',
'южный',
'кавказский',
'приволжский',
