Nominatim/nominatim/tokenizer/icu_rule_loader.py

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"""
Helper class to create ICU rules from a configuration file.
"""
import io
import logging
from collections import defaultdict
import itertools
import yaml
from icu import Transliterator
from nominatim.errors import UsageError
LOG = logging.getLogger()
class ICURuleLoader:
""" Compiler for ICU rules from a tokenizer configuration file.
"""
def __init__(self, configfile):
self.configfile = configfile
self.compound_suffixes = set()
self.abbreviations = defaultdict()
if configfile.suffix == '.yaml':
self._load_from_yaml()
else:
raise UsageError("Unknown format of tokenizer configuration.")
def get_search_rules(self):
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""" Return the ICU rules to be used during search.
The rules combine normalization, compound decomposition (including
abbreviated compounds) and transliteration.
"""
# First apply the normalization rules.
rules = io.StringIO()
rules.write(self.normalization_rules)
# For all compound suffixes: add them in their full and any abbreviated form.
suffixes = set()
for suffix in self.compound_suffixes:
suffixes.add(suffix)
suffixes.update(self.abbreviations.get(suffix, []))
for suffix in sorted(suffixes, key=len, reverse=True):
rules.write("'{0} ' > ' {0} ';".format(suffix))
# Finally add transliteration.
rules.write(self.transliteration_rules)
return rules.getvalue()
def get_normalization_rules(self):
""" Return rules for normalisation of a term.
"""
return self.normalization_rules
def get_transliteration_rules(self):
""" Return the rules for converting a string into its asciii representation.
"""
return self.transliteration_rules
def get_replacement_pairs(self):
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""" Return the list of possible compound decompositions with
application of abbreviations included.
The result is a list of pairs: the first item is the sequence to
replace, the second is a list of replacements.
"""
synonyms = defaultdict(set)
for full, abbr in self.abbreviations.items():
key = ' ' + full + ' '
# Entries in the abbreviation list always apply to full words:
synonyms[key].update((' ' + a + ' ' for a in abbr))
# Replacements are optional, so add a noop
synonyms[key].add(key)
# Entries in the compound list expand to themselves and to
# abbreviations.
for suffix in self.compound_suffixes:
keyset = synonyms[suffix + ' ']
keyset.add(' ' + suffix + ' ')
keyset.update((' ' + a + ' ' for a in self.abbreviations.get(suffix, [])))
# The terms the entries are shortended to, need to be decompunded as well.
for abbr in self.abbreviations.get(suffix, []):
synonyms[abbr + ' '].add(' ' + abbr + ' ')
# sort the resulting list by descending length (longer matches are prefered).
sorted_keys = sorted(synonyms.keys(), key=len, reverse=True)
return [(k, list(synonyms[k])) for k in sorted_keys]
def _load_from_yaml(self):
rules = yaml.load(self.configfile.read_text())
self.normalization_rules = self._cfg_to_icu_rules(rules, 'normalization')
self.transliteration_rules = self._cfg_to_icu_rules(rules, 'transliteration')
self._parse_compound_suffix_list(self._get_section(rules, 'compound_suffixes'))
self._parse_abbreviation_list(self._get_section(rules, 'abbreviations'))
def _get_section(self, rules, section):
""" Get the section named 'section' from the rules. If the section does
not exist, raise a usage error with a meaningful message.
"""
if section not in rules:
LOG.fatal("Section '%s' not found in tokenizer config '%s'.",
section, str(self.configfile))
raise UsageError("Syntax error in tokenizer configuration file.")
return rules[section]
def _cfg_to_icu_rules(self, rules, section):
""" Load an ICU ruleset from the given section. If the section is a
simple string, it is interpreted as a file name and the rules are
loaded verbatim from the given file. The filename is expected to be
relative to the tokenizer rule file. If the section is a list then
each line is assumed to be a rule. All rules are concatenated and returned.
"""
content = self._get_section(rules, section)
if isinstance(content, str):
return (self.configfile.parent / content).read_text().replace('\n', ' ')
return ';'.join(content) + ';'
def _parse_compound_suffix_list(self, rules):
if not rules:
self.compound_suffixes = set()
return
norm = Transliterator.createFromRules("rule_loader_normalization",
self.normalization_rules)
# Make sure all suffixes are in their normalised form.
self.compound_suffixes = set((norm.transliterate(s) for s in rules))
def _parse_abbreviation_list(self, rules):
self.abbreviations = defaultdict(list)
if not rules:
return
norm = Transliterator.createFromRules("rule_loader_normalization",
self.normalization_rules)
for rule in rules:
parts = rule.split('=>')
if len(parts) != 2:
LOG.fatal("Syntax error in abbreviation section, line: %s", rule)
raise UsageError("Syntax error in tokenizer configuration file.")
# Make sure all terms match the normalised version.
fullterms = (norm.transliterate(t.strip()) for t in parts[0].split(','))
abbrterms = (norm.transliterate(t.strip()) for t in parts[1].split(','))
for full, abbr in itertools.product(fullterms, abbrterms):
self.abbreviations[full].append(abbr)