]> git.openstreetmap.org Git - nominatim.git/blobdiff - src/nominatim_db/tokenizer/legacy_tokenizer.py
remove remaining references to php code
[nominatim.git] / src / nominatim_db / tokenizer / legacy_tokenizer.py
index 04b7b8814c64eb716e44b23ffb89a57f1c6a2c78..788053322741c5b7cf7403f03520e0d33bffae06 100644 (file)
@@ -14,7 +14,6 @@ import logging
 from pathlib import Path
 import re
 import shutil
-from textwrap import dedent
 
 from icu import Transliterator
 import psycopg
@@ -120,8 +119,6 @@ class LegacyTokenizer(AbstractTokenizer):
 
         self.normalization = config.TERM_NORMALIZATION
 
-        self._install_php(config, overwrite=True)
-
         with connect(self.dsn) as conn:
             _check_module(module_dir, conn)
             self._save_config(conn, config)
@@ -145,8 +142,6 @@ class LegacyTokenizer(AbstractTokenizer):
                             config.lib_dir.module,
                             config.project_dir / 'module')
 
-        self._install_php(config, overwrite=False)
-
     def finalize_import(self, config: Configuration) -> None:
         """ Do any required postprocessing to make the tokenizer data ready
             for use.
@@ -272,21 +267,6 @@ class LegacyTokenizer(AbstractTokenizer):
             return list(s[0] for s in cur)
 
 
-    def _install_php(self, config: Configuration, overwrite: bool = True) -> None:
-        """ Install the php script for the tokenizer.
-        """
-        if config.lib_dir.php is not None:
-            php_file = self.data_dir / "tokenizer.php"
-
-            if not php_file.exists() or overwrite:
-                php_file.write_text(dedent(f"""\
-                    <?php
-                    @define('CONST_Max_Word_Frequency', {config.MAX_WORD_FREQUENCY});
-                    @define('CONST_Term_Normalization_Rules', "{config.TERM_NORMALIZATION}");
-                    require_once('{config.lib_dir.php}/tokenizer/legacy_tokenizer.php');
-                    """), encoding='utf-8')
-
-
     def _init_db_tables(self, config: Configuration) -> None:
         """ Set up the word table and fill it with pre-computed word
             frequencies.