3 The Nominatim search frontend can directly be used as a Python library in
4 scripts and applications. When you have imported your own Nominatim database,
5 then it is no longer necessary to run a full web service for it and access
6 the database through http requests. There are
7 also less constraints on the kinds of data that can be accessed. The library
8 allows to get access to more detailed information about the objects saved
12 The library interface is currently in an experimental stage. There might
13 be some smaller adjustments to the public interface until the next version.
17 To use the Nominatim library, you need access to a local Nominatim database.
18 Follow the [installation](../admin/Installation.md) and
19 [import](../admin/Import.md) instructions to set up your database.
21 The Nominatim frontend library is contained in the 'nominatim-api' package.
22 To install the package from the source tree directly, run:
24 pip install packaging/nominatim-api
26 Usually, you would want to run this in a virtual environment.
28 ### A simple search example
30 To query the Nominatim database you need to first set up a connection. This
31 is done by creating an Nominatim API object. This object exposes all the
32 search functions of Nominatim that are also known from its web API.
34 This code snippet implements a simple search for the town of 'Brugge':
37 === "NominatimAPIAsync"
39 from pathlib import Path
42 import nominatim_api as napi
44 async def search(query):
45 api = napi.NominatimAPIAsync(Path('.'))
47 return await api.search(query)
49 results = asyncio.run(search('Brugge'))
51 print('Cannot find Brugge')
53 print(f'Found a place at {results[0].centroid.x},{results[0].centroid.y}')
58 from pathlib import Path
60 import nominatim_api as napi
62 api = napi.NominatimAPI(Path('.'))
64 results = api.search('Brugge')
67 print('Cannot find Brugge')
69 print(f'Found a place at {results[0].centroid.x},{results[0].centroid.y}')
72 The Nominatim library is designed around
73 [asyncio](https://docs.python.org/3/library/asyncio.html). `NominatimAPIAsync`
74 provides you with an interface of coroutines.
75 If you have many requests to make, coroutines can speed up your applications
78 For smaller scripts there is also a synchronous wrapper around the API. By
79 using `NominatimAPI`, you get exactly the same interface using classic functions.
81 The examples in this chapter will always show-case both
82 implementations. The documentation itself will usually refer only to
83 'Nominatim API class' when both flavours are meant. If a functionality is
84 available only for the synchronous or asynchronous version, this will be
87 ### Defining which database to use
89 The [Configuration](../admin/Import.md#configuration-setup-in-env)
90 section explains how Nominatim is configured using the
91 [dotenv](https://github.com/theskumar/python-dotenv) library.
92 The same configuration mechanism is used with the
93 Nominatim API library. You should therefore be sure you are familiar with
96 The constructor of the 'Nominatim API class' takes one mandatory parameter:
97 the path to the [project directory](../admin/Import.md#creating-the-project-directory).
98 You should have set up this directory as part of the Nominatim import.
99 Any configuration found in the `.env` file in this directory will automatically
102 You may also configure Nominatim by setting environment variables.
103 Normally, Nominatim will check the operating system environment. This can be
104 overwritten by giving the constructor a dictionary of configuration parameters.
106 Let us look up 'Brugge' in the special database named 'belgium' instead of the
107 standard 'nominatim' database:
110 === "NominatimAPIAsync"
112 from pathlib import Path
115 import nominatim_api as napi
118 'NOMINATIM_DATABASE_DSN': 'pgsql:dbname=belgium'
121 async def search(query):
122 api = napi.NominatimAPIAsync(Path('.'), environ=config_params)
124 return await api.search(query)
126 results = asyncio.run(search('Brugge'))
131 from pathlib import Path
133 import nominatim_api as napi
136 'NOMINATIM_DATABASE_DSN': 'pgsql:dbname=belgium'
139 api = napi.NominatimAPI(Path('.'), environ=config_params)
141 results = api.search('Brugge')
144 ### Presenting results to humans
146 All search functions return the raw results from the database. There is no
147 full human-readable label. To create such a label, you need two things:
149 * the address details of the place
150 * adapt the result to the language you wish to use for display
152 Again searching for 'Brugge', this time with a nicely formatted result:
155 === "NominatimAPIAsync"
157 from pathlib import Path
160 import nominatim_api as napi
162 async def search(query):
163 api = napi.NominatimAPIAsync(Path('.'))
165 return await api.search(query, address_details=True)
167 results = asyncio.run(search('Brugge'))
169 locale = napi.Locales(['fr', 'en'])
170 for i, result in enumerate(results):
171 address_parts = result.address_rows.localize(locale)
172 print(f"{i + 1}. {', '.join(address_parts)}")
177 from pathlib import Path
179 import nominatim_api as napi
181 api = napi.NominatimAPI(Path('.'))
183 results = api.search('Brugge', address_details=True)
185 locale = napi.Locales(['fr', 'en'])
186 for i, result in enumerate(results):
187 address_parts = result.address_rows.localize(locale)
188 print(f"{i + 1}. {', '.join(address_parts)}")
191 To request information about the address of a result, add the optional
192 parameter 'address_details' to your search:
195 >>> results = api.search('Brugge', address_details=True)
198 An additional field `address_rows` will set in results that are returned.
199 It contains a list of all places that make up the address of the place. For
200 simplicity, this includes name and house number of the place itself. With
201 the names in this list it is possible to create a human-readable description
202 of the result. To do that, you first need to decide in which language the
203 results should be presented. As with the names in the result itself, the
204 places in `address_rows` contain all possible name translation for each row.
206 The library has a helper class `Locale` which helps extracting a name of a
207 place in the preferred language. It takes a single parameter with a list
208 of language codes in the order of preference. So
211 locale = napi.Locale(['fr', 'en'])
214 creates a helper class that returns the name preferably in French. If that is
215 not possible, it tries English and eventually falls back to the default `name`
218 The `Locale` object can be applied to a name dictionary to return the best-matching
222 >>> print(locale.display_name(results[0].names))
226 The `address_row` field has a helper function to apply the function to all
227 its members and save the result in the `local_name` field. It also returns
228 all the localized names as a convenient simple list. This list can be used
229 to create a human-readable output:
232 >>> address_parts = results[0].address_rows.localize(locale)
233 >>> print(', '.join(address_parts))
234 Bruges, Flandre-Occidentale, Flandre, Belgique
237 This is a fairly simple way to create a human-readable description. The
238 place information in `address_rows` contains further information about each
239 place. For example, which OSM `adlin_level` was used, what category the place
240 belongs to or what rank Nominatim has assigned. Use this to adapt the output
241 to local address formats.
243 For more information on address rows, see
244 [detailed address description](Result-Handling.md#detailed-address-description).