openpoiservice | flask application which hosts a highly customizable points | Map library

openpoiservice is a Python library typically used in Geo, Map applications. openpoiservice has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install openpoiservice' or download it from GitHub, PyPI.

Openpoiservice (ops) is a flask application which hosts a highly customizable points of interest database derived from OpenStreetMap.org data and thereby exploits its notion of tags... OpenStreetMap tags consisting of a key and value describe specific features of map elements (nodes, ways, or relations) or changesets. Both items are free format text fields, but often represent numeric or other structured items. This service consumes OSM tags on nodes, ways and relations by grouping them into predefined categories. If it picks up an OSM object tagged with one of the osm keys defined in categories.yml it will import this point of interest with specific additional tags which may be defined in ops_settings.yml. Any additional tag, for instance wheelchair or smoking may then be used to query the service via the API after import. For instance, if you want to request all pois accessible by wheelchair within a geometry, you could add then add wheelchair: ['yes', 'dedicated] in filters within the body of your HTTP POST request. You may pass 3 different types of geometry within the request to the database. Currently, "Point" and "LineString" with a corresponding and buffer are supported as well as a polygon. Points of interest will be returned within the given geometry. You can control the maximum size of geometries and further restrictions in the settings file of this service. The osm file(s) to be imported are parsed several times to extract points of interest from relations (osm_type 3), ways (osm_type 2) and nodes (osm_type 1) in order. Which type the specific point of interest originated from will be returned within the response - this will help you find the object directly on OpenStreetMap.org.