]> git.openstreetmap.org Git - nominatim.git/blobdiff - nominatim/tokenizer/icu_rule_loader.py
Merge pull request #2786 from lonvia/export-centroid-for-tokenizer
[nominatim.git] / nominatim / tokenizer / icu_rule_loader.py
index a8bdba933637195b3a62a687142b3c08752a3cc8..4c36282ca54bfbd3526d24ead471a3e9fe9dbc33 100644 (file)
@@ -1,20 +1,27 @@
+# SPDX-License-Identifier: GPL-2.0-only
+#
+# This file is part of Nominatim. (https://nominatim.org)
+#
+# Copyright (C) 2022 by the Nominatim developer community.
+# For a full list of authors see the git log.
 """
 Helper class to create ICU rules from a configuration file.
 """
-import importlib
+from typing import Mapping, Any, Dict, Optional
 import io
 import json
 import logging
-import itertools
-import re
 
 from icu import Transliterator
 
-from nominatim.config import flatten_config_list
+from nominatim.config import flatten_config_list, Configuration
 from nominatim.db.properties import set_property, get_property
+from nominatim.db.connection import Connection
 from nominatim.errors import UsageError
 from nominatim.tokenizer.place_sanitizer import PlaceSanitizer
-import nominatim.tokenizer.icu_variants as variants
+from nominatim.tokenizer.icu_token_analysis import ICUTokenAnalysis
+from nominatim.tokenizer.token_analysis.base import AnalysisModule, Analyzer
+import nominatim.data.country_info
 
 LOG = logging.getLogger()
 
@@ -23,7 +30,7 @@ DBCFG_IMPORT_TRANS_RULES = "tokenizer_import_transliteration"
 DBCFG_IMPORT_ANALYSIS_RULES = "tokenizer_import_analysis_rules"
 
 
-def _get_section(rules, section):
+def _get_section(rules: Mapping[str, Any], section: str) -> Any:
     """ Get the section named 'section' from the rules. If the section does
         not exist, raise a usage error with a meaningful message.
     """
@@ -34,26 +41,18 @@ def _get_section(rules, section):
     return rules[section]
 
 
-class VariantRule:
-    """ Saves a single variant expansion.
-
-        An expansion consists of the normalized replacement term and
-        a dicitonary of properties that describe when the expansion applies.
-    """
-
-    def __init__(self, replacement, properties):
-        self.replacement = replacement
-        self.properties = properties or {}
-
-
 class ICURuleLoader:
     """ Compiler for ICU rules from a tokenizer configuration file.
     """
 
-    def __init__(self, config):
+    def __init__(self, config: Configuration) -> None:
+        self.config = config
         rules = config.load_sub_configuration('icu_tokenizer.yaml',
                                               config='TOKENIZER_CONFIG')
 
+        # Make sure country information is available to analyzers and sanitizers.
+        nominatim.data.country_info.setup_country_config(config)
+
         self.normalization_rules = self._cfg_to_icu_rules(rules, 'normalization')
         self.transliteration_rules = self._cfg_to_icu_rules(rules, 'transliteration')
         self.analysis_rules = _get_section(rules, 'token-analysis')
@@ -63,17 +62,27 @@ class ICURuleLoader:
         self.sanitizer_rules = rules.get('sanitizers', [])
 
 
-    def load_config_from_db(self, conn):
+    def load_config_from_db(self, conn: Connection) -> None:
         """ Get previously saved parts of the configuration from the
             database.
         """
-        self.normalization_rules = get_property(conn, DBCFG_IMPORT_NORM_RULES)
-        self.transliteration_rules = get_property(conn, DBCFG_IMPORT_TRANS_RULES)
-        self.analysis_rules = json.loads(get_property(conn, DBCFG_IMPORT_ANALYSIS_RULES))
+        rules = get_property(conn, DBCFG_IMPORT_NORM_RULES)
+        if rules is not None:
+            self.normalization_rules = rules
+
+        rules = get_property(conn, DBCFG_IMPORT_TRANS_RULES)
+        if rules is not None:
+            self.transliteration_rules = rules
+
+        rules = get_property(conn, DBCFG_IMPORT_ANALYSIS_RULES)
+        if rules:
+            self.analysis_rules = json.loads(rules)
+        else:
+            self.analysis_rules = []
         self._setup_analysis()
 
 
-    def save_config_to_db(self, conn):
+    def save_config_to_db(self, conn: Connection) -> None:
         """ Save the part of the configuration that cannot be changed into
             the database.
         """
@@ -82,20 +91,20 @@ class ICURuleLoader:
         set_property(conn, DBCFG_IMPORT_ANALYSIS_RULES, json.dumps(self.analysis_rules))
 
 
-    def make_sanitizer(self):
+    def make_sanitizer(self) -> PlaceSanitizer:
         """ Create a place sanitizer from the configured rules.
         """
-        return PlaceSanitizer(self.sanitizer_rules)
+        return PlaceSanitizer(self.sanitizer_rules, self.config)
 
 
-    def make_token_analysis(self):
+    def make_token_analysis(self) -> ICUTokenAnalysis:
         """ Create a token analyser from the reviouly loaded rules.
         """
-        return self.analysis[None].create(self.normalization_rules,
-                                          self.transliteration_rules)
+        return ICUTokenAnalysis(self.normalization_rules,
+                                self.transliteration_rules, self.analysis)
 
 
-    def get_search_rules(self):
+    def get_search_rules(self) -> str:
         """ Return the ICU rules to be used during search.
             The rules combine normalization and transliteration.
         """
@@ -108,26 +117,31 @@ class ICURuleLoader:
         return rules.getvalue()
 
 
-    def get_normalization_rules(self):
+    def get_normalization_rules(self) -> str:
         """ Return rules for normalisation of a term.
         """
         return self.normalization_rules
 
 
-    def get_transliteration_rules(self):
+    def get_transliteration_rules(self) -> str:
         """ Return the rules for converting a string into its asciii representation.
         """
         return self.transliteration_rules
 
 
-    def _setup_analysis(self):
+    def _setup_analysis(self) -> None:
         """ Process the rules used for creating the various token analyzers.
         """
-        self.analysis = {}
+        self.analysis: Dict[Optional[str], TokenAnalyzerRule]  = {}
 
         if not isinstance(self.analysis_rules, list):
             raise UsageError("Configuration section 'token-analysis' must be a list.")
 
+        norm = Transliterator.createFromRules("rule_loader_normalization",
+                                              self.normalization_rules)
+        trans = Transliterator.createFromRules("rule_loader_transliteration",
+                                              self.transliteration_rules)
+
         for section in self.analysis_rules:
             name = section.get('id', None)
             if name in self.analysis:
@@ -136,12 +150,13 @@ class ICURuleLoader:
                 else:
                     LOG.fatal("ICU tokenizer configuration has two token "
                               "analyzers with id '%s'.", name)
-                UsageError("Syntax error in ICU tokenizer config.")
-            self.analysis[name] = TokenAnalyzerRule(section, self.normalization_rules)
+                raise UsageError("Syntax error in ICU tokenizer config.")
+            self.analysis[name] = TokenAnalyzerRule(section, norm, trans,
+                                                    self.config)
 
 
     @staticmethod
-    def _cfg_to_icu_rules(rules, section):
+    def _cfg_to_icu_rules(rules: Mapping[str, Any], section: str) -> str:
         """ 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
@@ -161,133 +176,21 @@ class TokenAnalyzerRule:
         and creates a new token analyzer on request.
     """
 
-    def __init__(self, rules, normalization_rules):
-        # Find the analysis module
-        module_name = 'nominatim.tokenizer.token_analysis.' \
-                      + _get_section(rules, 'analyzer').replace('-', '_')
-        analysis_mod = importlib.import_module(module_name)
-        self._mod_create = analysis_mod.create
-
-        # Load the configuration.
-        self.config = {}
-        self._parse_variant_list(rules.get('variants'), normalization_rules)
-
-
-    def create(self, normalization_rules, transliteration_rules):
-        """ Create an analyzer from the given rules.
-        """
-        return self._mod_create(normalization_rules,
-                                transliteration_rules,
-                                self.config)
-
-
-    def _parse_variant_list(self, rules, normalization_rules):
-        vset = set()
-
-        if not rules:
-            return
-
-        rules = flatten_config_list(rules, 'variants')
-
-        vmaker = _VariantMaker(normalization_rules)
-
-        properties = []
-        for section in rules:
-            # Create the property field and deduplicate against existing
-            # instances.
-            props = variants.ICUVariantProperties.from_rules(section)
-            for existing in properties:
-                if existing == props:
-                    props = existing
-                    break
-            else:
-                properties.append(props)
+    def __init__(self, rules: Mapping[str, Any],
+                 normalizer: Any, transliterator: Any,
+                 config: Configuration) -> None:
+        analyzer_name = _get_section(rules, 'analyzer')
+        if not analyzer_name or not isinstance(analyzer_name, str):
+            raise UsageError("'analyzer' parameter needs to be simple string")
 
-            for rule in (section.get('words') or []):
-                vset.update(vmaker.compute(rule, props))
-
-        self.config['variants'] = vset
-
-
-class _VariantMaker:
-    """ Generater for all necessary ICUVariants from a single variant rule.
-
-        All text in rules is normalized to make sure the variants match later.
-    """
+        self._analysis_mod: AnalysisModule = \
+            config.load_plugin_module(analyzer_name, 'nominatim.tokenizer.token_analysis')
 
-    def __init__(self, norm_rules):
-        self.norm = Transliterator.createFromRules("rule_loader_normalization",
-                                                   norm_rules)
+        self.config = self._analysis_mod.configure(rules, normalizer,
+                                                   transliterator)
 
 
-    def compute(self, rule, props):
-        """ Generator for all ICUVariant tuples from a single variant rule.
+    def create(self, normalizer: Any, transliterator: Any) -> Analyzer:
+        """ Create a new analyser instance for the given rule.
         """
-        parts = re.split(r'(\|)?([=-])>', rule)
-        if len(parts) != 4:
-            raise UsageError("Syntax error in variant rule: " + rule)
-
-        decompose = parts[1] is None
-        src_terms = [self._parse_variant_word(t) for t in parts[0].split(',')]
-        repl_terms = (self.norm.transliterate(t.strip()) for t in parts[3].split(','))
-
-        # If the source should be kept, add a 1:1 replacement
-        if parts[2] == '-':
-            for src in src_terms:
-                if src:
-                    for froms, tos in _create_variants(*src, src[0], decompose):
-                        yield variants.ICUVariant(froms, tos, props)
-
-        for src, repl in itertools.product(src_terms, repl_terms):
-            if src and repl:
-                for froms, tos in _create_variants(*src, repl, decompose):
-                    yield variants.ICUVariant(froms, tos, props)
-
-
-    def _parse_variant_word(self, name):
-        name = name.strip()
-        match = re.fullmatch(r'([~^]?)([^~$^]*)([~$]?)', name)
-        if match is None or (match.group(1) == '~' and match.group(3) == '~'):
-            raise UsageError("Invalid variant word descriptor '{}'".format(name))
-        norm_name = self.norm.transliterate(match.group(2))
-        if not norm_name:
-            return None
-
-        return norm_name, match.group(1), match.group(3)
-
-
-_FLAG_MATCH = {'^': '^ ',
-               '$': ' ^',
-               '': ' '}
-
-
-def _create_variants(src, preflag, postflag, repl, decompose):
-    if preflag == '~':
-        postfix = _FLAG_MATCH[postflag]
-        # suffix decomposition
-        src = src + postfix
-        repl = repl + postfix
-
-        yield src, repl
-        yield ' ' + src, ' ' + repl
-
-        if decompose:
-            yield src, ' ' + repl
-            yield ' ' + src, repl
-    elif postflag == '~':
-        # prefix decomposition
-        prefix = _FLAG_MATCH[preflag]
-        src = prefix + src
-        repl = prefix + repl
-
-        yield src, repl
-        yield src + ' ', repl + ' '
-
-        if decompose:
-            yield src, repl + ' '
-            yield src + ' ', repl
-    else:
-        prefix = _FLAG_MATCH[preflag]
-        postfix = _FLAG_MATCH[postflag]
-
-        yield prefix + src + postfix, prefix + repl + postfix
+        return self._analysis_mod.create(normalizer, transliterator, self.config)