to OSM objects and the terms of an incoming query in order to make sure, they
can be matched appropriately.
-Nominatim offers different tokenizer modules, which behave differently and have
-different configuration options. This sections describes the tokenizers and how
-they can be configured.
+Nominatim currently offers only one tokenizer module, the ICU tokenizer. This section
+describes the tokenizer and how it can be configured.
!!! important
- The use of a tokenizer is tied to a database installation. You need to choose
+ The selection of tokenizer is tied to a database installation. You need to choose
and configure the tokenizer before starting the initial import. Once the import
is done, you cannot switch to another tokenizer anymore. Reconfiguring the
chosen tokenizer is very limited as well. See the comments in each tokenizer
See the [Token analysis](#token-analysis) section below for more
information.
-During query time, only normalization and transliteration are relevant.
-An incoming query is first split into name chunks (this usually means splitting
-the string at the commas) and the each part is normalised and transliterated.
-The result is used to look up places in the search index.
+During query time, the tokeinzer is responsible for processing incoming
+queries. This happens in two stages:
+
+1. During **query preprocessing** the incoming text is split into name
+ chunks and normalised. This usually means applying the same normalisation
+ as during the import process but may involve other processing like,
+ for example, word break detection.
+2. The **token analysis** step breaks down the query parts into tokens,
+ looks them up in the database and assignes them possible functions and
+ probabilities.
+
+Query processing can be further customized while the rest of the analysis
+is hard-coded.
### Configuration
Here is an example configuration file:
``` yaml
+query-preprocessing:
+ - normalize
normalization:
- ":: lower ()"
- "ß > 'ss'" # German szet is unambiguously equal to double ss
The configuration file contains four sections:
`normalization`, `transliteration`, `sanitizers` and `token-analysis`.
+#### Query preprocessing
+
+The section for `query-preprocessing` defines an ordered list of functions
+that are applied to the query before the token analysis.
+
+The following is a list of preprocessors that are shipped with Nominatim.
+
+##### normalize
+
+::: nominatim_api.query_preprocessing.normalize
+ options:
+ members: False
+ heading_level: 6
+ docstring_section_style: spacy
+
+
#### Normalization and Transliteration
The normalization and transliteration sections each define a set of
implemented, it is not guaranteed to be stable at the moment.
-## Using non-standard sanitizers and token analyzers
+## Using non-standard modules
-Sanitizer names (in the `step` property) and token analysis names (in the
-`analyzer`) may refer to externally supplied modules. There are two ways
+Sanitizer names (in the `step` property), token analysis names (in the
+`analyzer`) and query preprocessor names (in the `step` property)
+may refer to externally supplied modules. There are two ways
to include external modules: through a library or from the project directory.
To include a module from a library, use the absolute import path as name and
somewhere in your project directory and then use the relative path to the
file. Include the whole name of the file including the `.py` ending.
+## Custom query preprocessors
+
+A query preprocessor must export a single factory function `create` with
+the following signature:
+
+``` python
+create(self, config: QueryConfig) -> Callable[[list[Phrase]], list[Phrase]]
+```
+
+The function receives the custom configuration for the preprocessor and
+returns a callable (function or class) with the actual preprocessing
+code. When a query comes in, then the callable gets a list of phrases
+and needs to return the transformed list of phrases. The list and phrases
+may be changed in place or a completely new list may be generated.
+
+The `QueryConfig` is a simple dictionary which contains all configuration
+options given in the yaml configuration of the ICU tokenizer. It is up to
+the function to interpret the values.
+
+A `nominatim_api.search.Phrase` describes a part of the query that contains one or more independent
+search terms. Breaking a query into phrases helps reducing the number of
+possible tokens Nominatim has to take into account. However a phrase break
+is definitive: a multi-term search word cannot go over a phrase break.
+A Phrase object has two fields:
+
+ * `ptype` further refines the type of phrase (see list below)
+ * `text` contains the query text for the phrase
+
+The order of phrases matters to Nominatim when doing further processing.
+Thus, while you may split or join phrases, you should not reorder them
+unless you really know what you are doing.
+
+Phrase types (`nominatim_api.search.PhraseType`) can further help narrowing
+down how the tokens in the phrase are interpreted. The following phrase types
+are known:
+
+::: nominatim_api.search.PhraseType
+ options:
+ heading_level: 6
+
+
## Custom sanitizer modules
A sanitizer module must export a single factory function `create` with the
The following sanitizer removes the directional prefixes from street names
in the US:
-``` python
-import re
-
-def _filter_function(obj):
- if obj.place.country_code == 'us' \
- and obj.place.rank_address >= 26 and obj.place.rank_address <= 27:
- for name in obj.names:
- name.name = re.sub(r'^(north|south|west|east) ',
- '',
- name.name,
- flags=re.IGNORECASE)
-
-def create(config):
- return _filter_function
-```
+!!! example
+ ``` python
+ import re
+
+ def _filter_function(obj):
+ if obj.place.country_code == 'us' \
+ and obj.place.rank_address >= 26 and obj.place.rank_address <= 27:
+ for name in obj.names:
+ name.name = re.sub(r'^(north|south|west|east) ',
+ '',
+ name.name,
+ flags=re.IGNORECASE)
+
+ def create(config):
+ return _filter_function
+ ```
This is the most simple form of a sanitizer module. If defines a single
filter function and implements the required `create()` function by returning
!!! warning
This example is just a simplified show case on how to create a sanitizer.
- It is not really read for real-world use: while the sanitizer would
+ It is not really meant for real-world use: while the sanitizer would
correctly transform `West 5th Street` into `5th Street`. it would also
shorten a simple `North Street` to `Street`.
For more sanitizer examples, have a look at the sanitizers provided by Nominatim.
They can be found in the directory
-[`nominatim/tokenizer/sanitizers`](https://github.com/osm-search/Nominatim/tree/master/nominatim/tokenizer/sanitizers).
+[`src/nominatim_db/tokenizer/sanitizers`](https://github.com/osm-search/Nominatim/tree/master/src/nominatim_db/tokenizer/sanitizers).
## Custom token analysis module
projects / nominatim.git / commitdiff