3 The tokenizer is the component of Nominatim that is responsible for
4 analysing names of OSM objects and queries. Nominatim provides different
5 tokenizers that use different strategies for normalisation. This page describes
6 how tokenizers are expected to work and the public API that needs to be
7 implemented when creating a new tokenizer. For information on how to configure
8 a specific tokenizer for a database see the
9 [tokenizer chapter in the administration guide](../admin/Tokenizers.md).
11 ## Generic Architecture
13 ### About Search Tokens
15 Search in Nominatim is organised around search tokens. Such a token represents
16 string that can be part of the search query. Tokens are used so that the search
17 index does not need to be organised around strings. Instead the database saves
18 for each place which tokens match this place's name, address, house number etc.
19 To be able to distinguish between these different types of information stored
20 with the place, a search token also always has a certain type: name, house number,
23 During search an incoming query is transformed into a ordered list of such
24 search tokens (or rather many lists, see below) and this list is then converted
25 into a database query to find the right place.
27 It is the core task of the tokenizer to create, manage and assign the search
28 tokens. The tokenizer is involved in two distinct operations:
30 * __at import time__: scanning names of OSM objects, normalizing them and
31 building up the list of search tokens.
32 * __at query time__: scanning the query and returning the appropriate search
38 The indexer is responsible to enrich an OSM object (or place) with all data
39 required for geocoding. It is split into two parts: the controller collects
40 the places that require updating, enriches the place information as required
41 and hands the place to Postgresql. The collector is part of the Nominatim
42 library written in Python. Within Postgresql, the `placex_update`
43 trigger is responsible to fill out all secondary tables with extra geocoding
44 information. This part is written in PL/pgSQL.
46 The tokenizer is involved in both parts. When the indexer prepares a place,
47 it hands it over to the tokenizer to inspect the names and create all the
48 search tokens applicable for the place. This usually involves updating the
49 tokenizer's internal token lists and creating a list of all token IDs for
50 the specific place. This list is later needed in the PL/pgSQL part where the
51 indexer needs to add the token IDs to the appropriate search tables. To be
52 able to communicate the list between the Python part and the pl/pgSQL trigger,
53 the placex table contains a special JSONB column `token_info` which is there
54 for the exclusive use of the tokenizer.
56 The Python part of the tokenizer returns a structured information about the
57 tokens of a place to the indexer which converts it to JSON and inserts it into
58 the `token_info` column. The content of the column is then handed to the PL/pqSQL
59 callbacks of the tokenizer which extracts the required information. Usually
60 the tokenizer then removes all information from the `token_info` structure,
61 so that no information is ever persistently saved in the table. All information
62 that went in should have been processed after all and put into secondary tables.
63 This is however not a hard requirement. If the tokenizer needs to store
64 additional information about a place permanently, it may do so in the
65 `token_info` column. It just may never execute searches over it and
66 consequently not create any special indexes on it.
70 The tokenizer is responsible for the initial parsing of the query. It needs
71 to split the query into appropriate words and terms and match them against
72 the saved tokens in the database. It then returns the list of possibly matching
73 tokens and the list of possible splits to the query parser. The parser uses
74 this information to compute all possible interpretations of the query and
75 rank them accordingly.
79 The following section describes the functions that need to be implemented
80 for a custom tokenizer implementation.
83 This API is currently in early alpha status. While this API is meant to
84 be a public API on which other tokenizers may be implemented, the API is
85 far away from being stable at the moment.
87 ### Directory Structure
89 Nominatim expects two files for a tokenizer:
91 * `nominiatim/tokenizer/<NAME>_tokenizer.py` containing the Pythonpart of the
93 * `lib-php/tokenizer/<NAME>_tokenizer.php` with the PHP part of the
96 where `<NAME>` is a unique name for the tokenizer consisting of only lower-case
97 letters, digits and underscore. A tokenizer also needs to install some SQL
98 functions. By convention, these should be placed in `lib-sql/tokenizer`.
100 If the tokenizer has a default configuration file, this should be saved in
101 the `settings/<NAME>_tokenizer.<SUFFIX>`.
103 ### Configuration and Persistance
105 Tokenizers may define custom settings for their configuration. All settings
106 must be prefixed with `NOMINATIM_TOKENIZER_`. Settings may be transient or
107 persistent. Transient settings are loaded from the configuration file when
108 Nominatim is started and may thus be changed at any time. Persistent settings
109 are tied to a database installation and must only be read during installation
110 time. If they are needed for the runtime then they must be saved into the
111 `nominatim_properties` table and later loaded from there.
113 ### The Python module
115 The Python module is expect to export a single factory function:
118 def create(dsn: str, data_dir: Path) -> AbstractTokenizer
121 The `dsn` parameter contains the DSN of the Nominatim database. The `data_dir`
122 is a directory in the project directory that the tokenizer may use to save
123 database-specific data. The function must return the instance of the tokenizer
124 class as defined below.
126 ### Python Tokenizer Class
128 All tokenizers must inherit from `nominatim.tokenizer.base.AbstractTokenizer`
129 and implement the abstract functions defined there.
131 ::: nominatim.tokenizer.base.AbstractTokenizer
135 ### Python Analyzer Class
137 ::: nominatim.tokenizer.base.AbstractAnalyzer