Specialized processor for postcodes. Supports a 'lookup' variant of the
token, which produces variants with optional spaces.
"""
+from typing import Any, List
from nominatim.tokenizer.token_analysis.generic_mutation import MutationVariantGenerator
+from nominatim.data.place_name import PlaceName
### Configuration section
-def configure(rules, normalization_rules): # pylint: disable=W0613
+def configure(*_: Any) -> None:
""" All behaviour is currently hard-coded.
"""
return None
### Analysis section
-def create(normalizer, transliterator, config): # pylint: disable=W0613
+def create(normalizer: Any, transliterator: Any, config: None) -> 'PostcodeTokenAnalysis': # pylint: disable=W0613
""" Create a new token analysis instance for this module.
"""
return PostcodeTokenAnalysis(normalizer, transliterator)
+
class PostcodeTokenAnalysis:
- """ Detects common housenumber patterns and normalizes them.
+ """ Special normalization and variant generation for postcodes.
+
+ This analyser must not be used with anything but postcodes as
+ it follows some special rules: the canonial ID is the form that
+ is used for the output. `compute_variants` then needs to ensure that
+ the generated variants once more follow the standard normalization
+ and transliteration, so that postcodes are correctly recognised by
+ the search algorithm.
"""
- def __init__(self, norm, trans):
+ def __init__(self, norm: Any, trans: Any) -> None:
self.norm = norm
self.trans = trans
self.mutator = MutationVariantGenerator(' ', (' ', ''))
- def normalize(self, name):
+ def get_canonical_id(self, name: PlaceName) -> str:
""" Return the standard form of the postcode.
"""
- return name.strip().upper()
+ return name.name.strip().upper()
- def get_variants_ascii(self, norm_name):
+ def compute_variants(self, norm_name: str) -> List[str]:
""" Compute the spelling variants for the given normalized postcode.
- The official form creates one variant. If a 'lookup version' is
- given, then it will create variants with optional spaces.
+ Takes the canonical form of the postcode, normalizes it using the
+ standard rules and then creates variants of the result where
+ all spaces are optional.
"""
# Postcodes follow their own transliteration rules.
# Make sure at this point, that the terms are normalized in a way
# that they are searchable with the standard transliteration rules.
return [self.trans.transliterate(term) for term in
- self.mutator.generate([self.norm.transliterate(norm_name)])]
+ self.mutator.generate([self.norm.transliterate(norm_name)]) if term]