make token analyzers configurable modules

Adds a mandatory section 'analyzer' to the token-analysis entries
which define, which analyser to use. Currently there is exactly
one, generic, which implements the former ICUNameProcessor.

nominatim/tokenizer/icu_rule_loader.py

@@ -1,6 +1,7 @@
 """
 Helper class to create ICU rules from a configuration file.
 """
+import importlib
 import io
 import json
 import logging
@@ -12,7 +13,6 @@ from icu import Transliterator
 from nominatim.config import flatten_config_list
 from nominatim.db.properties import set_property, get_property
 from nominatim.errors import UsageError
-from nominatim.tokenizer.icu_name_processor import ICUNameProcessor
 from nominatim.tokenizer.place_sanitizer import PlaceSanitizer
 import nominatim.tokenizer.icu_variants as variants
 
@@ -23,6 +23,17 @@ DBCFG_IMPORT_TRANS_RULES = "tokenizer_import_transliteration"
 DBCFG_IMPORT_ANALYSIS_RULES = "tokenizer_import_analysis_rules"
 
 
+def _get_section(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.", section)
+        raise UsageError("Syntax error in tokenizer configuration file.")
+
+    return rules[section]
+
+
 class VariantRule:
     """ Saves a single variant expansion.
 
@@ -45,7 +56,7 @@ class ICURuleLoader:
 
         self.normalization_rules = self._cfg_to_icu_rules(rules, 'normalization')
         self.transliteration_rules = self._cfg_to_icu_rules(rules, 'transliteration')
-        self.analysis_rules = self._get_section(rules, 'token-analysis')
+        self.analysis_rules = _get_section(rules, 'token-analysis')
         self._setup_analysis()
 
         # Load optional sanitizer rule set.
@@ -130,25 +141,14 @@ class ICURuleLoader:
 
 
     @staticmethod
-    def _get_section(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.", section)
-            raise UsageError("Syntax error in tokenizer configuration file.")
-
-        return rules[section]
-
-
-    def _cfg_to_icu_rules(self, rules, section):
+    def _cfg_to_icu_rules(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)
+        content = _get_section(rules, section)
 
         if content is None:
             return ''
@@ -162,19 +162,27 @@ class TokenAnalyzerRule:
     """
 
     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 ICUNameProcessor(normalization_rules,
+        return self._mod_create(normalization_rules,
                                 transliteration_rules,
-                                self.variants)
+                                self.config)
 
 
     def _parse_variant_list(self, rules, normalization_rules):
-        self.variants = set()
+        vset = set()
 
         if not rules:
             return
@@ -196,7 +204,9 @@ class TokenAnalyzerRule:
                 properties.append(props)
 
             for rule in (section.get('words') or []):
-                self.variants.update(vmaker.compute(rule, props))
+                vset.update(vmaker.compute(rule, props))
+
+        self.config['variants'] = vset
 
 
 class _VariantMaker:

nominatim/tokenizer/token_analysis/generic.py

@@ -1,6 +1,5 @@
 """
-Processor for names that are imported into the database based on the
-ICU library.
+Generic processor for names that creates abbreviation variants.
 """
 from collections import defaultdict
 import itertools
@@ -8,8 +7,15 @@ import itertools
 from icu import Transliterator
 import datrie
 
+### Analysis section
 
-class ICUNameProcessor:
+def create(norm_rules, trans_rules, config):
+    """ Create a new token analysis instance for this module.
+    """
+    return GenericTokenAnalysis(norm_rules, trans_rules, config['variants'])
+
+
+class GenericTokenAnalysis:
     """ Collects the different transformation rules for normalisation of names
         and provides the functions to apply the transformations.
     """

settings/icu_tokenizer.yaml

@@ -28,7 +28,8 @@ sanitizers:
     - step: split-name-list
     - step: strip-brace-terms
 token-analysis:
-    - variants:
+    - analyzer: generic
+      variants:
           - !include icu-rules/variants-bg.yaml
           - !include icu-rules/variants-ca.yaml
           - !include icu-rules/variants-cs.yaml

test/python/test_tokenizer_icu.py

@@ -72,7 +72,8 @@ def analyzer(tokenizer_factory, test_config, monkeypatch,
         cfgstr = {'normalization': list(norm),
                   'sanitizers': sanitizers,
                   'transliteration': list(trans),
-                  'token-analysis': [{'variants': [{'words': list(variants)}]}]}
+                  'token-analysis': [{'analyzer': 'generic',
+                                      'variants': [{'words': list(variants)}]}]}
         (test_config.project_dir / 'icu_tokenizer.yaml').write_text(yaml.dump(cfgstr))
         tok.loader = ICURuleLoader(test_config)
 

test/python/test_tokenizer_icu_rule_loader.py

@@ -34,7 +34,7 @@ def cfgrules(test_config):
             - "::  Latin ()"
             - "[[:Punctuation:][:Space:]]+ > ' '"
         """)
-        content += "token-analysis:\n  - variants:\n     - words:\n"
+        content += "token-analysis:\n  - analyzer: generic\n    variants:\n     - words:\n"
         content += '\n'.join(("         - " + s for s in variants)) + '\n'
         for k, v in kwargs:
             content += "    {}: {}\n".format(k, v)
@@ -50,7 +50,8 @@ def test_empty_rule_set(test_config):
         normalization:
         transliteration:
         token-analysis:
-          - variants:
+          - analyzer: generic
+            variants:
         """))
 
     rules = ICURuleLoader(test_config)
@@ -108,7 +109,8 @@ def test_transliteration_rules_from_file(test_config):
             - "'ax' > 'b'"
             - !include transliteration.yaml
         token-analysis:
-            - variants:
+            - analyzer: generic
+              variants:
         """))
     transpath = test_config.project_dir / ('transliteration.yaml')
     transpath.write_text('- "x > y"')
@@ -128,7 +130,7 @@ class TestGetReplacements:
 
     def get_replacements(self, *variants):
         loader = ICURuleLoader(self.cfgrules(*variants))
-        rules = loader.analysis[None].variants
+        rules = loader.analysis[None].config['variants']
 
         return set((v.source, v.replacement) for v in rules)
 

test/python/tokenizer/token_analysis/test_generic.py

@@ -28,7 +28,7 @@ def cfgfile(def_config, tmp_path):
             - "::  Latin ()"
             - "'🜵' > ' '"
         """)
-        content += "token-analysis:\n  - variants:\n      - words:\n"
+        content += "token-analysis:\n  - analyzer: generic\n    variants:\n      - words:\n"
         content += '\n'.join(("          - " + s for s in variants)) + '\n'
         for k, v in kwargs:
             content += "        {}: {}\n".format(k, v)