Configuration
Once you have installed pygeoapi, it’s time to setup a configuration. pygeoapi’s runtime configuration is defined
in the YAML format which is then referenced via the PYGEOAPI_CONFIG
environment variable. You can name the
file whatever you wish; typical filenames end with .yml
.
Note
A sample configuration can always be found in the pygeoapi GitHub repository.
pygeoapi configuration contains the following core sections:
server
: server-wide settingslogging
: logging configurationmetadata
: server-wide metadata (contact, licensing, etc.)resources
: dataset collections, processes and stac-collections offered by the server
The full configuration schema with descriptions of all available properties can be found here.
Note
Standard YAML mechanisms can be used (anchors, references, etc.) for reuse and compactness.
Configuration directives and reference are described below via annotated examples.
Reference
server
The server
section provides directives on binding and high level tuning.
For more information related to API design rules (the api_rules
property in the example below) see API Design Rules.
server:
bind:
host: 0.0.0.0 # listening address for incoming connections
port: 5000 # listening port for incoming connections
url: http://localhost:5000/ # url of server
mimetype: application/json; charset=UTF-8 # default MIME type
encoding: utf-8 # default server encoding
language: en-US # default server language
locale_dir: /path/to/translations
gzip: false # default server config to gzip/compress responses to requests with gzip in the Accept-Encoding header
cors: true # boolean on whether server should support CORS
pretty_print: true # whether JSON responses should be pretty-printed
limits: # server limits on number of items to return. This property can also be defined at the resource level to override global server settings
default_items: 50
max_items: 1000
max_distance_x: 25
max_distance_y: 25
max_distance_units: m
on_exceed: throttle # throttle or error (default=throttle)
admin: false # whether to enable the Admin API
# optional configuration to specify a different set of templates for HTML pages. Recommend using absolute paths. Omit this to use the default provided templates
# This property can also be defined at the resource level to override global server settings for specific datasets
templates: # optional configuration to specify a different set of templates for HTML pages. Recommend using absolute paths. Omit this to use the default provided templates
path: /path/to/jinja2/templates/folder # path to templates folder containing the Jinja2 template HTML files
static: /path/to/static/folder # path to static folder containing css, js, images and other static files referenced by the template
map: # leaflet map setup for HTML pages
url: https://tile.openstreetmap.org/{z}/{x}/{y}.png
attribution: '© <a href="https://openstreetmap.org/copyright">OpenStreetMap contributors</a>'
ogc_schemas_location: /opt/schemas.opengis.net # local copy of https://schemas.opengis.net
manager: # optional OGC API - Processes asynchronous job management
name: TinyDB # plugin name (see pygeoapi.plugin for supported process_manager's)
connection: /tmp/pygeoapi-process-manager.db # connection info to store jobs (e.g. filepath)
output_dir: /tmp/ # temporary file area for storing job results (files)
api_rules: # optional API design rules to which pygeoapi should adhere
api_version: 1.2.3 # omit to use pygeoapi's software version
strict_slashes: true # trailing slashes will not be allowed and result in a 404
url_prefix: 'v{api_major}' # adds a /v1 prefix to all URL paths
version_header: X-API-Version # add a response header of this name with the API version
logging
The logging
section provides directives for logging messages which are useful for debugging.
logging:
level: ERROR # the logging level (see https://docs.python.org/3/library/logging.html#logging-levels)
logfile: /path/to/pygeoapi.log # the full file path to the logfile
logformat: # example for milliseconds:'[%(asctime)s.%(msecs)03d] {%(pathname)s:%(lineno)d} %(levelname)s - %(message)s'
dateformat: # example for milliseconds:'%Y-%m-%dT%H:%M:%S'
Note
If level
is defined and logfile
is undefined, logging messages are output to the server’s stdout
.
logging.rotation
The rotation
supports rotation of disk log files. The logfile
file is opened and used as the stream for logging.
logging:
logfile: /path/to/pygeoapi.log # the full file path to the logfile
rotation:
mode: # [time|size]
when: # [s|m|h|d|w0-w6|midnight]
interval:
max_bytes:
backup_count:
Note
Rotation block is not mandatory and defined only when needed. The mode
can be defined by size or time.
For RotatingFileHandler set mode size and parameters max_bytes and backup_count.
For TimedRotatingFileHandler set mode time and parameters when, interval and backup_count.
metadata
The metadata
section provides settings for overall service metadata and description.
metadata:
identification:
title: pygeoapi default instance # the title of the service
description: pygeoapi provides an API to geospatial data # some descriptive text about the service
keywords: # list of keywords about the service
- geospatial
- data
- api
keywords_type: theme # keyword type as per the ISO 19115 MD_KeywordTypeCode codelist. Accepted values are discipline, temporal, place, theme, stratum
terms_of_service: https://creativecommons.org/licenses/by/4.0/ # terms of service
url: https://example.org # informative URL about the service
license: # licensing details
name: CC-BY 4.0 license
url: https://creativecommons.org/licenses/by/4.0/
provider: # service provider details
name: Organization Name
url: https://pygeoapi.io
contact: # service contact details
name: Lastname, Firstname
position: Position Title
address: Mailing Address
city: City
stateorprovince: Administrative Area
postalcode: Zip or Postal Code
country: Country
phone: +xx-xxx-xxx-xxxx
fax: +xx-xxx-xxx-xxxx
email: you@example.org
url: Contact URL
hours: Mo-Fr 08:00-17:00
instructions: During hours of service. Off on weekends.
role: pointOfContact
resources
The resources
section lists 1 or more dataset collections to be published by the server. The
key of the resource name is the advertised collection identifier.
The resource.type
property is required. Allowed types are:
collection
process
stac-collection
The providers
block is a list of 1..n providers with which to operate the data on. Each
provider requires a type
property. Allowed types are:
feature
coverage
tile
A collection’s default provider can be qualified with default: true
in the provider
configuration. If default
is not included, the first provider is assumed to be the
default.
resources:
obs:
type: collection # REQUIRED (collection, process, or stac-collection)
visibility: default # OPTIONAL
title: Observations # title of dataset
description: My cool observations # abstract of dataset
keywords: # list of related keywords
- observations
- monitoring
linked-data: # linked data configuration (see Linked Data section)
context:
- datetime: https://schema.org/DateTime
- vocab: https://example.com/vocab#
stn_id: "vocab:stn_id"
value: "vocab:value"
links: # list of 1..n related links
- type: text/csv # MIME type
rel: canonical # link relations per https://www.iana.org/assignments/link-relations/link-relations.xhtml
title: data # title
href: https://github.com/mapserver/mapserver/blob/branch-7-0/msautotest/wxs/data/obs.csv # URL
hreflang: en-US # language
extents: # spatial and temporal extents
spatial: # required
bbox: [-180,-90,180,90] # list of minx, miny, maxx, maxy
crs: http://www.opengis.net/def/crs/OGC/1.3/CRS84 # CRS
temporal: # optional
begin: 2000-10-30T18:24:39Z # start datetime in RFC3339
end: 2007-10-30T08:57:29Z # end datetime in RFC3339
trs: http://www.opengis.net/def/uom/ISO-8601/0/Gregorian # TRS
providers: # list of 1..n required connections information
# provider name
# see pygeoapi.plugin for supported providers
# for custom built plugins, use the import path (e.g. mypackage.provider.MyProvider)
# see Plugins section for more information
- type: feature # underlying data geospatial type: (allowed values are: feature, coverage, record, tile, edr)
default: true # optional: if not specified, the first provider definition is considered the default
name: CSV
data: tests/data/obs.csv # required: the data filesystem path or URL, depending on plugin setup
id_field: id # required for vector data, the field corresponding to the ID
uri_field: uri # optional field corresponding to the Uniform Resource Identifier (see Linked Data section)
time_field: datetimestamp # optional field corresponding to the temporal property of the dataset
title_field: foo # optional field of which property to display as title/label on HTML pages
properties: # optional: only return the following properties, in order
- stn_id
- value
# editable transactions: DO NOT ACTIVATE unless you have setup access control beyond pygeoapi
editable: true # optional: if backend is writable, default is false
# coordinate reference systems (CRS) section is optional
# default CRSs are http://www.opengis.net/def/crs/OGC/1.3/CRS84 (coordinates without height)
# and http://www.opengis.net/def/crs/OGC/1.3/CRS84h (coordinates with ellipsoidal height)
crs: # supported coordinate reference systems (CRS) for 'crs' and 'bbox-crs' query parameters
- http://www.opengis.net/def/crs/EPSG/0/28992
- http://www.opengis.net/def/crs/OGC/1.3/CRS84
- http://www.opengis.net/def/crs/EPSG/0/4326
storage_crs: http://www.opengis.net/def/crs/OGC/1.3/CRS84 # optional CRS in which data is stored, default: as 'crs' field
storage_crs_coordinate_epoch: : 2017.23 # optional, if storage_crs is a dynamic coordinate reference system
format: # optional default format
name: GeoJSON # required: format name
mimetype: application/json # required: format mimetype
options: # optional options to pass to provider (i.e. GDAL creation)
option_name: option_value
hello-world: # name of process
type: process # REQUIRED (collection, process, or stac-collection)
processor:
name: HelloWorld # Python path of process definition
See also
Linked Data for optionally configuring linked data datasets
See also
Customizing pygeoapi: plugins for more information on plugins
Using environment variables
pygeoapi configuration supports using system environment variables, which can be helpful for deploying into 12 factor environments for example.
Below is an example of how to integrate system environment variables in pygeoapi.
server:
bind:
host: ${MY_HOST}
port: ${MY_PORT}
Multiple environment variables are supported as follows:
data: ${MY_HOST}:${MY_PORT}
It is also possible to define a default value for a variable in case it does not exist in
the environment using a syntax like: value: ${ENV_VAR:-the default}
server:
bind:
host: ${MY_HOST:-localhost}
port: ${MY_PORT:-5000}
metadata:
identification:
title:
en: This is pygeoapi host ${MY_HOST} and port ${MY_PORT:-5000}, nice to meet you!
Adding links to collections
You can add any type of link to a resource of type collection. pygeoapi does not enforce anything here, as long as the link has a type, rel, and href parameter. The type parameter defines the MIME type (Content-Type) of the linked resource. The rel parameter tell something about what kind of link it is. You could set this to license to add a data license link, or to describedBy if you wish to add a schema definition for example.
It’s also possible to add (bulk) download links to a collection. These links should have their rel parameter set to enclosure and must have a length parameter that defines the content length (byte size) of the file. If you know the content length and it never changes, you can set this and pygeoapi will return the enclosure link(s) as-is.
However, the downloadable resource may be subject to change (e.g. it may grow in size over time). In that case, you can omit the length and pygeoapi will figure out the actual Content-Length header by issuing a HEAD request on the given URL (href parameter). Furthermore, if it notices that the defined type (MIME type) of the link does not match the actual Content-Type in the response headers, it will automatically update the type accordingly. Note that type is a mandatory link parameter though, so you must always set it.
So for example, you could define a download link like so:
links
- type: application/octet-stream # must have some MIME type
rel: enclosure
title: download link
href: https://myserver.com/data/file.zip # URL
And pygeoapi will turn that into:
{
"links": {
"type": "application/zip",
"rel": "enclosure",
"title": "download link",
"href": "https://myserver.com/data/file.zip",
"length": 46435
}
}
Note how the MIME type was updated to match the actual Content-Type and that the length was set according to the Content-Length header.
Note
If the length parameter is omitted and pygeoapi was not able to verify the Content-Length within 1 second and/or within 1 URL redirect, the enclosure link will not be included in the response. This means that if you want to be sure that the link is always included, you will have to set a length.
API Design Rules
Some pygeoapi setups may wish to adhere to specific API design rules that apply at an organization.
The api_rules
object in the server
section of the configuration can be used for this purpose.
Note that the entire api_rules
object is optional. No rules will be applied if the object is omitted.
The following properties can be set:
api_version
If specified, this property is a string that defines the semantic version number of the API. Note that this number should reflect the state of the API data model (request and response object structure, API endpoints, etc.) and does not necessarily correspond to the software version of pygeoapi. For example, the software could have been completely rewritten (which changes the software version number), but the API data model might still be the same as before.
Unfortunately, pygeoapi currently does not offer a way to keep track of the API version. This means that you need to set (and maintain) your own version here or leave it empty or unset. In the latter case, the software version of pygeoapi will be used instead.
strict_slashes
Some API rules state that trailing slashes at the end of a URL are not allowed if they point to a specific resource item.
In that case, you may wish to set this property to true
. Doing so will result in a 404 Not Found
if a user adds a /
to the end of a URL.
If omitted or false
(default), it does not matter whether the user omits or adds the /
to the end of the URL.
url_prefix
Set this property to include a prefix in the URL path (e.g. https://base.com/<my_prefix>/endpoint). Note that you do not need to include slashes (either at the start or the end) here: they will be added automatically.
If you wish to include the API version number (depending on the api_version property) in the prefix, you can use the following variables:
{api_version}
: full semantic version number{api_major}
: major version number{api_minor}
: minor version number{api_build}
: build number
For example, if the API version is 1.2.3, then a URL prefix template of v{api_major}
will result in v1 as the actual prefix.
version_header
Set this property to add a header to each pygeoapi response that includes the semantic API version (see api_version).
If omitted, no header will be added. Common names for this header are API-Version
or X-API-Version
.
Note that pygeoapi already adds a X-Powered-By
header by default that includes the software version number.
Hierarchical collections
Collections defined in the resources
section are identified by the resource key. The
key of the resource name is the advertised collection identifier. For example, given the following:
resources:
lakes:
...
The resulting collection will be made available at http://localhost:5000/collections/lakes
All collections are published by default to http://localhost:5000/collections. To enable hierarchical collections, provide the hierarchy in the resource key. Given the following:
resources:
naturalearth/lakes:
...
The resulting collection will then be made available at http://localhost:5000/collections/naturalearth/lakes
Note
This functionality may change in the future given how hierarchical collection extension specifications evolve at OGC.
Note
Collection grouping is not available. This means that while URLs such as http://localhost:5000/collections/naturalearth/lakes function as expected, URLs such as http://localhost:5000/collections/naturalearth will not provide aggregate collection listing or querying. This functionality is also to be determined based on the evolution of hierarchical collection extension specifications at OGC.
Selective properties in feature and record providers
Providers defined in the providers
section of a feature/record collection definition can support
selective properties to return only a subset of the schema attributes. This allows to
specialise the behavior of queryables and the GeoJSON’s properties returned in the
payload.
For example, given the above example of the lakes
collection a restriction on
the schema properties returned by its provider can be defined with the following:
resources:
lakes:
...
providers:
- type: feature
name: ...
data:
...
properties:
- name
Examples:
curl https://example.org/collections/lakes/queryables # only the name definition is returned
curl https://example.org/collections/lakes/items # only the name attribute is returned in properties
curl https://example.org/collections/lakes/items/{item_id} # only the name attribute is returned in properties
Limiting data responses
pygeoapi defines a limits
configuration parameter that will allow a user to define default and maximum limits for multiple data types. This parameter is defined at the server level (server.limits
) with the ability to override at resource level (resources[*].limits
). An example of this setting is shown below:
limits:
default_items: 10 # applies to vector data
max_items: 500 # applies to vector data
max_distance_x: 123 # applies to all datasets
max_distance_y: 456 # applies to all datasets
max_distance_units: m # as per UCUM https://ucum.org/ucum#section-Tables-of-Terminal-Symbols
on_exceed: error # one of error, throttle
The limits
setting is applied as follows:
can be defined at both the server and resources levels, with resource limits overriding server wide limits settings
on_exceed
can be set toerror
orthrottle
(default). If a client specified limit exceeds those set by the server: - when set toerror
, an exception is returned - when set tothrottle
the maximum data allowed by the collection/server/provider is returned
Vector data (features, records)
when a limit not specified by the client,
limits.default_items
can be used to set the result set sizewhen a limit is specified by the client, the minimum of the
limit
parameter andlimits.max_items
is calculated to set the result set size
Raster data (coverages, environmental data retrieval)
when a bbox or spatial subset is specified by the client,
limits.max_distance_x
,limits.max_distance_y
andlimits.max_distance_units
are used to determine whether a request has asked for more data than the collection is configured to provide and respond accordingly (viaon_exceed
)
Linked Data

pygeoapi supports structured metadata about a deployed instance, and is also capable of presenting data as structured data. JSON-LD equivalents are available for each HTML page, and are embedded as data blocks within the corresponding page for search engine optimisation (SEO). Tools such as the Google Structured Data Testing Tool can be used to check the structured representations.
The metadata for an instance is determined by the content of the metadata section of the configuration. This metadata is included automatically, and is sufficient for inclusion in major indices of datasets, including the Google Dataset Search.
For collections, at the level of item, the default JSON-LD representation adds:
An
@id
for the item, which is the URL for that item. If uri_field is specified, it is used, otherwise the URL is to its HTML representation in pygeoapi.Separate GeoSPARQL/WKT and schema.org/geo versions of the geometry. schema.org/geo only supports point, line, and polygon geometries. Multipart lines are merged into a single line. The rest of the multipart geometries are transformed reduced and into a polygon via unary union or convex hull transform.
@context
for the GeoSPARQL and schema geometries.The unpacked properties block into the main body of the item.
For collections, at the level of items, the default JSON-LD representation adds:
A schema.org itemList of the
@id
and@type
of each feature in the collection.
The optional configuration options for collections, at the level of an item of items, are:
If
uri_field
is specified, JSON-LD will be updated such that the@id
has the value ofuri_field
for each item in a collection
Note
While this is enough to provide valid RDF (as GeoJSON-LD), it does not allow the properties of your items to be unambiguously interpretable.
pygeoapi currently allows for the extension of the @context
to allow properties to be aliased to terms from
vocabularies. This is done by adding a context
section to the configuration of a dataset
.
The default pygeoapi configuration includes an example for the obs
sample dataset:
linked-data:
context:
- datetime: https://schema.org/DateTime
- vocab: https://example.com/vocab#
stn_id: "vocab:stn_id"
value: "vocab:value"
This is a non-existent vocabulary included only to illustrate the expected data structure within the configuration.
In particular, the links for the stn_id
and value
properties do not resolve. We can extend this example to
one with terms defined by schema.org:
linked-data:
context:
- schema: https://schema.org/
stn_id: schema:identifier
datetime:
"@id": schema:observationDate
"@type": schema:DateTime
value:
"@id": schema:value
"@type": schema:Number
Now this has been elaborated, the benefit of a structured data representation becomes clearer. What was once an
unexplained property called datetime
in the source CSV, it can now be expanded
to https://schema.org/observationDate, thereby eliminating ambiguity and enhancing interoperability. Its type is
also expressed as https://schema.org/DateTime.
This example demonstrates how to use this feature with a CSV data provider, using included sample data. The
implementation of JSON-LD structured data is available for any data provider but is currently limited to defining a
@context
. Relationships between items can be expressed but is dependent on such relationships being expressed
by the dataset provider, not pygeoapi.
An example of a data provider that includes relationships between items is the SensorThings API provider.
SensorThings API, by default, has relationships between entities within its data model.
Setting the intralink
field of the SensorThings provider to true
sets pygeoapi
to represent the relationship between configured entities as intra-pygeoapi links or URIs.
This relationship can further be maintained in the JSON-LD structured data using the appropriate
@context
with the sosa/ssn ontology. For example:
Things:
linked-data:
context:
- sosa: "http://www.w3.org/ns/sosa/"
ssn: "http://www.w3.org/ns/ssn/"
Datastreams: sosa:ObservationCollection
Datastreams:
linked-data:
context:
- sosa: "http://www.w3.org/ns/sosa/"
ssn: "http://www.w3.org/ns/ssn/"
Observations: sosa:hasMember
Thing: sosa:hasFeatureOfInterest
Observations:
linked-data:
context:
- sosa: "http://www.w3.org/ns/sosa/"
ssn: "http://www.w3.org/ns/ssn/"
Datastream: sosa:isMemberOf
Sometimes, the JSON-LD desired for an individual feature in a collection is more complicated than can
be achieved by aliasing properties using a context. In this case, it is possible to implement a custom
Jinja2 template. GeoJSON-LD is rendered using the Jinja2 templates defined in collections/items/item.jsonld
and collections/items/index.jsonld
. A pygeoapi collection requiring custom GeoJSON-LD can overwrite these
templates using dataset level templating. To learn more about Jinja2 templates, see HTML Templating.
linked-data:
context:
- datetime: https://schema.org/DateTime
Validating the configuration
To ensure your configuration is valid, pygeoapi provides a validation utility that can be run as follows:
pygeoapi config validate -c /path/to/my-pygeoapi-config.yml
Summary
At this point, you have the configuration ready to administer the server.