X-Git-Url: https://git.openstreetmap.org./nominatim.git/blobdiff_plain/b45f761227ffed8eb328df7a5d9e979197b8c690..6299afcad75e57ef28375201a9078cfaad057546:/docs/develop/Tokenizers.md?ds=sidebyside diff --git a/docs/develop/Tokenizers.md b/docs/develop/Tokenizers.md index eb0d4ea2..f4a55adc 100644 --- a/docs/develop/Tokenizers.md +++ b/docs/develop/Tokenizers.md @@ -91,14 +91,9 @@ for a custom tokenizer implementation. ### Directory Structure -Nominatim expects two files for a tokenizer: - -* `nominatim/tokenizer/_tokenizer.py` containing the Python part of the - implementation -* `lib-php/tokenizer/_tokenizer.php` with the PHP part of the - implementation - -where `` is a unique name for the tokenizer consisting of only lower-case +Nominatim expects a single file `src/nominatim_db/tokenizer/_tokenizer.py` +containing the Python part of the implementation. +`` is a unique name for the tokenizer consisting of only lower-case letters, digits and underscore. A tokenizer also needs to install some SQL functions. By convention, these should be placed in `lib-sql/tokenizer`. @@ -130,18 +125,18 @@ class as defined below. ### Python Tokenizer Class -All tokenizers must inherit from `nominatim.tokenizer.base.AbstractTokenizer` +All tokenizers must inherit from `nominatim_db.tokenizer.base.AbstractTokenizer` and implement the abstract functions defined there. -::: nominatim.tokenizer.base.AbstractTokenizer - rendering: - heading_level: 4 +::: nominatim_db.tokenizer.base.AbstractTokenizer + options: + heading_level: 6 ### Python Analyzer Class -::: nominatim.tokenizer.base.AbstractAnalyzer - rendering: - heading_level: 4 +::: nominatim_db.tokenizer.base.AbstractAnalyzer + options: + heading_level: 6 ### PL/pgSQL Functions @@ -282,73 +277,3 @@ permanently. The indexer calls this function when all processing is done and replaces the content of the `token_info` column with the returned value before the trigger stores the information in the database. May return NULL if no information should be stored permanently. - -### PHP Tokenizer class - -The PHP tokenizer class is instantiated once per request and responsible for -analyzing the incoming query. Multiple requests may be in flight in -parallel. - -The class is expected to be found under the -name of `\Nominatim\Tokenizer`. To find the class the PHP code includes the file -`tokenizer/tokenizer.php` in the project directory. This file must be created -when the tokenizer is first set up on import. The file should initialize any -configuration variables by setting PHP constants and then require the file -with the actual implementation of the tokenizer. - -The tokenizer class must implement the following functions: - -```php -public function __construct(object &$oDB) -``` - -The constructor of the class receives a database connection that can be used -to query persistent data in the database. - -```php -public function checkStatus() -``` - -Check that the tokenizer can access its persistent data structures. If there -is an issue, throw an `\Exception`. - -```php -public function normalizeString(string $sTerm) : string -``` - -Normalize string to a form to be used for comparisons when reordering results. -Nominatim reweighs results how well the final display string matches the actual -query. Before comparing result and query, names and query are normalised against -this function. The tokenizer can thus remove all properties that should not be -taken into account for reweighing, e.g. special characters or case. - -```php -public function tokensForSpecialTerm(string $sTerm) : array -``` - -Return the list of special term tokens that match the given term. - -```php -public function extractTokensFromPhrases(array &$aPhrases) : TokenList -``` - -Parse the given phrases, splitting them into word lists and retrieve the -matching tokens. - -The phrase array may take on two forms. In unstructured searches (using `q=` -parameter) the search query is split at the commas and the elements are -put into a sorted list. For structured searches the phrase array is an -associative array where the key designates the type of the term (street, city, -county etc.) The tokenizer may ignore the phrase type at this stage in parsing. -Matching phrase type and appropriate search token type will be done later -when the SearchDescription is built. - -For each phrase in the list of phrases, the function must analyse the phrase -string and then call `setWordSets()` to communicate the result of the analysis. -A word set is a list of strings, where each string refers to a search token. -A phrase may have multiple interpretations. Therefore a list of word sets is -usually attached to the phrase. The search tokens themselves are returned -by the function in an associative array, where the key corresponds to the -strings given in the word sets. The value is a list of search tokens. Thus -a single string in the list of word sets may refer to multiple search tokens. -