Pelias is a geocoder powered completely by open data, available freely to everyone.
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What is Pelias?
Pelias is a search engine for places worldwide, powered by open data. It turns addresses and place names into geographic coordinates, and turns geographic coordinates into places and addresses. With Pelias, you’re able to turn your users’ place searches into actionable geodata and transform your geodata into real places.
We think open data, open source, and open strategy win over proprietary solutions at any part of the stack and we want to ensure the services we offer are in line with that vision. We believe that an open geocoder improves over the long-term only if the community can incorporate truly representative local knowledge.
This is the API server for the Pelias project. It's the service that runs to process user HTTP requests and return results as GeoJSON by querying Elasticsearch and the other Pelias services.
Full documentation for the Pelias API lives in the pelias/documentation repository.
The Pelias API has no dependencies beyond Node.js
See Pelias Software requirements for the supported and recommended versions.
npm installAs of February 2018, the Pelias Libpostal microservice is required to perform queries. This is available at Dockerhub under pelias/go-whosonfirst-libpostal and requires exposure of 8080. To run the Pelias suite locally we recommend running docker-compose up from the Venicegeo Pelias Dockerfiles repository.
YAML snippet:
image: pelias/go-whosonfirst-libpostal
container_name: pelias_libpostal
restart: always
ports: [ "8080:8080" ]
networks: [ "pelias" ]Note: This is required for use of the convert endpoint.
See VeniceGeo Repo
Once you have the GeoTrans container running, you will need to set the ENV GEOTRANS_URL in this repository's docker file.
You can set these to your host:port or the GeoTrans container's IP and port at which it is exposed.
docker build -t pelias-api . && docker run -it -p 3100:3100 pelias-api
The API ships with several convenience commands (runnable via npm):
npm start: start the servernpm test: run unit testsnpm run ciao: run functional tests (this requires that the server be running)npm run docs: generate API documentationnpm run coverage: generate code coverage reportsnpm run config: dump the configuration to the command line, which is useful for debugging configuration issues
To run the API with your custom config, specify the location of the config file in the environment variable PELIAS_CONFIG like so:
PELIAS_CONFIG=/path/to/pelias.json npm run start
The API recognizes the following properties under the top-level api key in your pelias.json config file:
| parameter | required | default | description |
|---|---|---|---|
services |
no | Service definitions for point-in-polygon, libpostal, placeholder, and interpolation services. For a description of when different Pelias services are recommended or required, see our services documentation. | |
defaultParameters.focus.point.lon defaultParameters.focus.point.lat |
no | default coordinates for focus point | |
targets.auto_discover |
no | false | Should sources and layers be automatically discovered by querying elasticsearch at process startup. (See more info in the Custom sources and layers section below). |
targets.layers_by_source targets.source_aliases targets.layer_aliases |
no | custom values for which sources and layers the API accepts (See more info in the Custom sources and layers section below). We recommend using the targets.auto_discover:true configuration instead of setting these manually. |
|
customBoosts |
no | {} |
Allows configuring boosts for specific sources and layers, in order to influence result order. See Configurable Boosts below for details |
autocomplete.exclude_address_length |
no | 0 | As a performance optimization, this optional parameter allows excluding address results for queries below the configured length. Addresses are usually the bulk of the records in Elasticsearch, and searching across all of them for very short text inputs can be slow, with little benefit. Consider setting this to 1 or 2 if you have several million addresses in Pelias. |
indexName |
no | pelias | name of the Elasticsearch index to be used when building queries |
attributionURL |
no | (autodetected) | The full URL to use for the attribution link returned in all Pelias responses. Pelias will attempt to autodetect this host, but it will often be incorrect if, for example, there is a proxy between Pelias and its users. This parameter allows setting a specific URL to avoid any such issues |
accessLog |
no | name of the format to use for access logs; may be any one of the predefined values in the morgan package. Defaults to "common"; if set to false, or an otherwise falsy value, disables access-logging entirely. |
|
relativeScores |
no | true | if set to true, confidence scores will be normalized, realistically at this point setting this to false is not tested or desirable |
exposeInternalDebugTools |
no | true | Exposes several debugging tools, such as the ability to enable Elasticsearch explain mode, that may come at a performance cost or expose sensitive infrastructure details. Not recommended if the Pelias API is open to the public. |
A good starting configuration file includes this section (fill in the service and Elasticsearch hosts as needed):
{
"esclient": {
"hosts": [{
"host": "elasticsearch"
}]
},
"api": {
"services": {
"placeholder": {
"url": "http://placeholder:4100"
},
"libpostal": {
"url": "http://libpostal:8080"
},
"pip": {
"url": "http://pip-service:4200",
"timeout": 1000,
"retries": 2
},
"interpolation": {
"url": "http://interpolation:4300"
}
}
},
"logger": {
"level": "debug"
}
}
The timeout and retry values, as show in in the pip service section, are optional but configurable for all services (see pelias/microservice-wrapper for more details).
Pelias allows importing your own data with custom values for source and layer.
Custom sources and layers are not automatically detected, you MUST set targets.auto_discover to true in your pelias.json to make Pelias aware of them.
The auto_discover functionality sends a request to elasticsearch in order to automatically discover sources and layers from elasticsearch when the API server starts-up.
Be aware that the query sent to Elasticsearch can take several seconds to execute the first time against a large index, potentially impacting the performance of other queries hitting Elasticsearch at the same time. The query is cached in Elasticsearch for subsequent requests.
If you are importing custom layers and are running a city or small region sized build then the impact of this query will likely be negligible, you can safely use targets.auto_discover:true.
For advanced users running a full-planet build with custom layers or sources, and also concerned about this start-up delay, you have two options:
- execute the
auto_discoverquery once manually to prime the cache or - set
targets.auto_discover: falseand manually define the layers as documented below.
This parameter tells Pelias what type of records it can expect a given datasource to have. Anything put here will extend the default configuration which handles all the open data project Pelias supports out of the box. The parameter is an object where your custom source names are the keys, and the list of layers in that source are the values in an array. For example, if you have two custom sources, mysource which contains addresses and countries, and mysource2 containing neighbourhoods, the following would work well:
"api": {
"targets": {
"layers_by_source": {
"mysource": ["address", "country"],
"mysource2": ["neighbourhood"]
}
}
}
An optional list of alternate names for sources. These 'aliases' are a convenient way to provide a short alias for a more verbose source name. An alias may refer to one or more sources. The keys on the left side represent a previously undefined 'alias', while the values in the array on the right refer to sources previously defined in "layers_by_source".
For example, to create an alias that allows conveniently searching the two open data projects who's name starts with "Open", use the following configuration:
{
"api": {
"targets": {
"source_aliases": {
"opensomething": [ "openstreetmap", "openaddresses" ]
}
}
}
An optional list of alternate names for layers. These 'aliases' are a convenient way to provide a short alias for a more verbose layer name. An alias may refer to one or more layers. The keys on the left side represent a previously undefined 'alias', while the values in the array on the right refer to layers previously defined in "layers_by_source"
For example, to create a layer alias water that represents all the water layer types supported by Pelias:
{
"api": {
"targets": {
"layer_aliases": {
"water": [ "ocean", "marinearea" ]
}
}
}
The customBoosts config section allows influencing the sorting of results returned from most Pelias queries. Every Pelias record has a source and layer value, and this section allows prioritizing certain sources and layers.
First, keep in mind:
- This will not affect all Pelias queries. In particular, when using the
/v1/searchendpoint, queries for administrative areas (cities, countries, etc) will likely not be affected - Custom boosts allow influencing results, but not completely controlling them. Very good matches that aren't in a boosted
sourceorlayermay still be returned first.
The basic form of the configuration looks like this:
{
"api":
"customBoosts": {
"layer": {
"layername": 5,
"layername2": 3
},
"source": {
"sourcename": 5
}
}
}
}There are subsections for both layer and source, and each subsection must be an object. Keys in those objects represent the sources and layers to be boosted, and the value associated with those keys must be a numeric value.
Boost values are essentially multipliers, so values greater than 1 will cause a source or layer to be returned more often, and higher in results. Boosts of the value 1 are the same as no boost, and boosts between 0 and 1 will de-prioritize matching records.
Recommended boost values are between 1 and 5. Higher boosts are likely to cause unexpected impact without really improving results much.
Most Pelias configuration is done through pelias-config, however the API has additional environment variables that affect its operation:
| environment variable | default | description |
|---|---|---|
| HOST | undefined |
The network interface the Pelias API will bind to. Defaults to whatever the current Node.js default is, which is currently to listen on all interfaces. See the Node.js Net documentation for more info. |
| PORT | 3100 | The TCP port the Pelias API will use for incoming network connections. |
Please fork and pull request against upstream master on a feature branch. Pretty please; provide unit tests and script
fixtures in the test directory.
You can run the unit test suite using the command:
$ npm testWe have another set of tests which are used to test the HTTP API layer, these tests send expected HTTP requests and then assert that the responses coming back have the correct geoJSON format and HTTP status codes.
You can run the HTTP test suite using the command:
$ npm run ciaoNote: some of the tests in this suite fail when no data is present in the index, there is a small set of test documents
provided in ./test/ciao_test_data which can be inserted in order to avoid these errors.
To inject dummy data in to your local index:
$ node test/ciao_test_data.jsYou can confirm the dummy data has been inserted with the command:
$ curl localhost:9200/pelias/_count?pretty
{
"count" : 9,
...
}Travis tests every release against all supported Node.js versions.
We rely on semantic-release and Greenkeeper to maintain our module and dependency versions.
