80 lines
3.7 KiB
Python
80 lines
3.7 KiB
Python
|
"""Conservative matching for operational addresses.
|
|||
|
|
|
|||
|
|
Names are compared as whole normalized words (never four-letter prefixes), and
|
|||
|
|
numbered address components remain attached to their labels. Extra detail in a
|
|||
|
|
trainee's address is allowed, but a street typo or swapped house/apartment is
|
|||
|
|
not treated as a match. Explicit road types (for example, street vs. lane) are
|
|||
|
|
also operationally significant.
|
|||
|
|
"""
|
|||
|
|
|
|||
|
|
import re
|
|||
|
|
|
|||
|
|
|
|||
|
|
_ALIASES = {
|
|||
|
|
"ул": "улица", "улица": "улица",
|
|||
|
|
"д": "дом", "дом": "дом",
|
|||
|
|
"корп": "корпус", "корпус": "корпус",
|
|||
|
|
"стр": "строение", "строение": "строение",
|
|||
|
|
"кв": "квартира", "квартира": "квартира",
|
|||
|
|
"под": "подъезд", "подъезд": "подъезд",
|
|||
|
|
"эт": "этаж", "этаж": "этаж",
|
|||
|
|
"код": "код", "домофон": "код",
|
|||
|
|
"г": "город", "город": "город",
|
|||
|
|
"обл": "область", "область": "область",
|
|||
|
|
"пр": "проспект", "просп": "проспект", "проспект": "проспект",
|
|||
|
|
"пер": "переулок", "переулок": "переулок",
|
|||
|
|
"наб": "набережная", "набережная": "набережная",
|
|||
|
|
"ш": "шоссе", "шоссе": "шоссе",
|
|||
|
|
}
|
|||
|
|
_COMPONENTS = {"дом", "корпус", "строение", "квартира", "подъезд", "этаж", "код"}
|
|||
|
|
_ROAD_TYPES = {"улица", "проспект", "переулок", "набережная", "шоссе"}
|
|||
|
|
_NON_CONTENT = _COMPONENTS | {
|
|||
|
|
"город", "область",
|
|||
|
|
} | _ROAD_TYPES
|
|||
|
|
|
|||
|
|
|
|||
|
|
def _tokens(value: str | None) -> list[str]:
|
|||
|
|
if not value:
|
|||
|
|
return []
|
|||
|
|
raw = re.findall(r"[a-zа-яё0-9]+", value.casefold().replace("ё", "е"))
|
|||
|
|
return [_ALIASES.get(token, token) for token in raw if token != "номер"]
|
|||
|
|
|
|||
|
|
|
|||
|
|
def _components(tokens: list[str]) -> dict[str, set[str]]:
|
|||
|
|
result: dict[str, set[str]] = {}
|
|||
|
|
for index, token in enumerate(tokens[:-1]):
|
|||
|
|
if token in _COMPONENTS:
|
|||
|
|
result.setdefault(token, set()).add(tokens[index + 1])
|
|||
|
|
return result
|
|||
|
|
|
|||
|
|
|
|||
|
|
def address_matches(expected: str | None, supplied: str | None) -> bool:
|
|||
|
|
"""Return true only if all expected address words/components are preserved."""
|
|||
|
|
expected_tokens = _tokens(expected)
|
|||
|
|
supplied_tokens = _tokens(supplied)
|
|||
|
|
if not expected_tokens:
|
|||
|
|
return bool(supplied_tokens)
|
|||
|
|
if not supplied_tokens:
|
|||
|
|
return False
|
|||
|
|
|
|||
|
|
expected_content = {token for token in expected_tokens if token not in _NON_CONTENT}
|
|||
|
|
supplied_content = {token for token in supplied_tokens if token not in _NON_CONTENT}
|
|||
|
|
if not expected_content <= supplied_content:
|
|||
|
|
return False
|
|||
|
|
|
|||
|
|
expected_components = _components(expected_tokens)
|
|||
|
|
supplied_components = _components(supplied_tokens)
|
|||
|
|
expected_road_types = set(expected_tokens) & _ROAD_TYPES
|
|||
|
|
supplied_road_types = set(supplied_tokens) & _ROAD_TYPES
|
|||
|
|
# Тип объекта не является декоративным словом: «улица Ленина» и
|
|||
|
|
# «переулок Ленина» — разные адреса, даже при одинаковых остальных токенах.
|
|||
|
|
# Если тип явно указан в ответе, он должен совпасть с источником; краткая
|
|||
|
|
# форма без типа остаётся допустимой, как и прочие проверенные сокращения.
|
|||
|
|
if (
|
|||
|
|
expected_road_types
|
|||
|
|
and supplied_road_types
|
|||
|
|
and supplied_road_types != expected_road_types
|
|||
|
|
):
|
|||
|
|
return False
|
|||
|
|
return all(supplied_components.get(kind) == values
|
|||
|
|
for kind, values in expected_components.items())
|