fix typos and grammar issues

[nominatim.git] / nominatim / tokenizer / icu_rule_loader.py

diff --git a/nominatim/tokenizer/icu_rule_loader.py b/nominatim/tokenizer/icu_rule_loader.py
index 0e6e40b4c88dc3109e5aa9fa60cb27925458454b..4c36282ca54bfbd3526d24ead471a3e9fe9dbc33 100644 (file)
--- a/nominatim/tokenizer/icu_rule_loader.py
+++ b/nominatim/tokenizer/icu_rule_loader.py
@@ -1,60 +1,110 @@
+# 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.
 """
 """
 Helper class to create ICU rules from a configuration file.
 """

+from typing import Mapping, Any, Dict, Optional

 import io
 import io

+import json

 import logging
 import logging

-import itertools
-import re

 
 from icu import Transliterator
 
 
 from icu import Transliterator
 

+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.errors import UsageError

-import nominatim.tokenizer.icu_variants as variants
+from nominatim.tokenizer.place_sanitizer import PlaceSanitizer
+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()
 
 
 LOG = logging.getLogger()
 

-def _flatten_config_list(content):
-    if not content:
-        return []
+DBCFG_IMPORT_NORM_RULES = "tokenizer_import_normalisation"
+DBCFG_IMPORT_TRANS_RULES = "tokenizer_import_transliteration"
+DBCFG_IMPORT_ANALYSIS_RULES = "tokenizer_import_analysis_rules"

 
 

-    if not isinstance(content, list):
-        raise UsageError("List expected in ICU configuration.")

 
 

-    output = []
-    for ele in content:
-        if isinstance(ele, list):
-            output.extend(_flatten_config_list(ele))
-        else:
-            output.append(ele)
-
-    return output
-
-
-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 _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.

     """
     """

+    if section not in rules:
+        LOG.fatal("Section '%s' not found in tokenizer config.", section)
+        raise UsageError("Syntax error in tokenizer configuration file.")

 
 

-    def __init__(self, replacement, properties):
-        self.replacement = replacement
-        self.properties = properties or {}
+    return rules[section]

 
 
 class ICURuleLoader:
     """ Compiler for ICU rules from a tokenizer configuration file.
     """
 
 
 
 class ICURuleLoader:
     """ Compiler for ICU rules from a tokenizer configuration file.
     """
 

-    def __init__(self, rules):
-        self.variants = set()
+    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.normalization_rules = self._cfg_to_icu_rules(rules, 'normalization')
         self.transliteration_rules = self._cfg_to_icu_rules(rules, 'transliteration')

-        self._parse_variant_list(self._get_section(rules, 'variants'))
+        self.analysis_rules = _get_section(rules, 'token-analysis')
+        self._setup_analysis()
+
+        # Load optional sanitizer rule set.
+        self.sanitizer_rules = rules.get('sanitizers', [])
+
+
+    def load_config_from_db(self, conn: Connection) -> None:
+        """ Get previously saved parts of the configuration from the
+            database.
+        """
+        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: Connection) -> None:
+        """ Save the part of the configuration that cannot be changed into
+            the database.
+        """
+        set_property(conn, DBCFG_IMPORT_NORM_RULES, self.normalization_rules)
+        set_property(conn, DBCFG_IMPORT_TRANS_RULES, self.transliteration_rules)
+        set_property(conn, DBCFG_IMPORT_ANALYSIS_RULES, json.dumps(self.analysis_rules))
+
+
+    def make_sanitizer(self) -> PlaceSanitizer:
+        """ Create a place sanitizer from the configured rules.
+        """
+        return PlaceSanitizer(self.sanitizer_rules, self.config)
+

 
 

+    def make_token_analysis(self) -> ICUTokenAnalysis:
+        """ Create a token analyser from the reviouly loaded 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.
         """
         """ Return the ICU rules to be used during search.
             The rules combine normalization and transliteration.
         """


@@ -66,157 +116,81 @@ class ICURuleLoader:
         rules.write(self.transliteration_rules)
         return rules.getvalue()
 
         rules.write(self.transliteration_rules)
         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
 
         """ 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
 
         """ Return the rules for converting a string into its asciii representation.
         """
         return self.transliteration_rules
 

-    def get_replacement_pairs(self):
-        """ 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.
+
+    def _setup_analysis(self) -> None:
+        """ Process the rules used for creating the various token analyzers.

         """
         """

-        return self.variants
+        self.analysis: Dict[Optional[str], TokenAnalyzerRule]  = {}

 
 

+        if not isinstance(self.analysis_rules, list):
+            raise UsageError("Configuration section 'token-analysis' must be a list.")

 
 

-    @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.")
+        norm = Transliterator.createFromRules("rule_loader_normalization",
+                                              self.normalization_rules)
+        trans = Transliterator.createFromRules("rule_loader_transliteration",
+                                              self.transliteration_rules)

 
 

-        return rules[section]
+        for section in self.analysis_rules:
+            name = section.get('id', None)
+            if name in self.analysis:
+                if name is None:
+                    LOG.fatal("ICU tokenizer configuration has two default token analyzers.")
+                else:
+                    LOG.fatal("ICU tokenizer configuration has two token "
+                              "analyzers with id '%s'.", name)
+                raise UsageError("Syntax error in ICU tokenizer config.")
+            self.analysis[name] = TokenAnalyzerRule(section, norm, trans,
+                                                    self.config)

 
 
 
 

-    def _cfg_to_icu_rules(self, rules, section):
+    @staticmethod
+    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
             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.
         """
         """ 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 ''
 
 
         if content is None:
             return ''
 

-        return ';'.join(_flatten_config_list(content)) + ';'
-
-
-    def _parse_variant_list(self, rules):
-        self.variants.clear()
-
-        if not rules:
-            return
-
-        rules = _flatten_config_list(rules)
+        return ';'.join(flatten_config_list(content, section)) + ';'

 
 

-        vmaker = _VariantMaker(self.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)
-
-            for rule in (section.get('words') or []):
-                self.variants.update(vmaker.compute(rule, props))

 
 

+class TokenAnalyzerRule:
+    """ Factory for a single analysis module. The class saves the configuration
+        and creates a new token analyzer on request.
+    """

 
 

-class _VariantMaker:
-    """ Generater for all necessary ICUVariants from a single variant rule.
+    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")

 
 

-        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)