@stefcud/geopicker
v1.11.7
Published
Geospatial data picker via fast http rest interface
Downloads
40
Maintainers
Readme
GeoPicker
Geospatial dataset picker via fast Api Rest interface written in NodeJs for GDAL bindings and Fastify
Scope
It is basically an advanced elevation service and Geopicker has been specially designed to offer the widest range of formats and methods of data requests that is possible, to adapt to any context of use by the client. Each endpoint and the parameters it accepts have been designed on the basis of the functioning of already existing services, gathering a complete and coherent collection of APIs. At present the index.html page contains a large implementation of browser side requests using LeafletJs as basemap and jQuery.
Features
- Large Rest API: ergonomic endpoints suitable for any type of use case
- Validation: full validation of endpoint and parameters via JSON-Schema which allows output optimization
- Configuration: friendly configs and to help devs in many deployment contexts
- Formats: support for different geospatial input and output formats
- Compression: configurable output compression if client accept encoding: deflate,gzip
and includes some other additional functions:
- Densify: add more interpolated points in input coordinates, this improves the display on an elevation graph, adding intermediate positions at a minimum fixed distance.
- Simplify: unlike densify it removes points that are too close together from coordinates.
- Height: add the vertical distance from the ground, if input has elevation add a fourth coordinate with this value.
- Metadata: get additional informations for a certain geometry, for example: length, direction, bbox, centroid, middlepoint
API Rest endpoints
The API is work in progress.
This basic structure can be extended starting from the environment variable PREFIX
which by default /
(✔️ Work ❌ TODO 🚧 Work in Progress)
|Status|Method| Path | Return | Description |
|------|------|----------------------|--------|-------------|
| ✔️ | GET | / | html | default demo map page if enabled by env var DEMO_PAGE=true
|
| ✔️ | GET | /status | object | service status, versions, datasets |
| ✔️ | GET | /datasets | array | list available datasets and their attributes |
| ✔️ | GET | /datasets/:datasetId | object | search dataset by id |
| ✔️ | GET | /datasets/:lon/:lat | array | search dataset contains lon
,lat
|
| ✔️ | GET | /:datasetId | object | show attributes of a certain dataset by id |
| | | | | |
| ✔️ | GET | /:datasetId/:lon/:lat | array | get single location value of dataset, densify not supported|
| ✔️ | GET | /:datasetId/:locations | array | locations is a string (format: lon,lat|lon,lat|lon,lat
), densify not supported |
| | | | | |
| ✔️ | POST | /:datasetId/lonlat | arrays | accept array or object in body |
| ✔️ | POST | /:datasetId/locations| arrays | accept array or object of locations in body (format is [[lon,lat],[lon,lat],[lon,lat]]
) |
| ✔️ | POST | /:datasetId/geometry | object | geojson Point or LineString in body (support feature/geometry/f.collection)|
| | | | | |
| ✔️ | GET | /metadata/:locations | object | return info about direction, length, centroid, middlepoint of locations |
| ✔️ | POST | /metadata/geometry | object | return info about direction, length, centroid, middlepoint of geometry |
Global Parameters
|Status|Parameter | Default | Description |
|------|----------|----------|-------------|
| ✔️ | precision| input
| rounded to digits decimal precision |
| ✔️ | format | input
| output format conversion |
| ✔️ | densify | input
| enable densification of points in the result |
| ✔️ | simplify | input
| enable simplication geometry of the result |
| ❌ | height | false | add vertical distance from the ground(only input has elevation) |
Some behaviors to know about parameters are that:
precision
anddensify
parameters is only supported by endpoints and formats that return coordinatesdatasetId
can have the valuedefault
to referring the main dataset defined in config- from version v1.6.1
/<datasetId>/...
is the same of/datasets/<datasetId>/...
/datasets/
is implicit.
Formats
If the format
parameter is not specified the default behavior is to output the same format as the input
- input format can be specified by
Content-type:
header in request - output format can be specified by
format
parameter
the support for various input and output formats is summarized in the table
| Value | In |Out | Description |
|-----------|----|----|-------------|
| input
| ✔️ | ✔️ | means the same format as the input data |
| array
| ✔️ | 🚧 | each location is Array
and a Z dimension as value [lon,lat,val]
|
| json
| ✔️ | 🚧 | each location is Object
having lon
,lat
and val
attributes |
| geojson
| ✔️ | 🚧 | standard GeoJSON objects Feature
, Geometry
with a Z dimension in coordinates
as value |
| polyline
| 🚧 | ✔️ | Encoded Polyline Algorithm |
| gpx
| 🚧 | ✔️ | GPS eXchange Format is an XML textual format |
| csv
| ❌ | ❌ | Comma-separated values is an textual format |
| kml
| ❌ | ❌ | Keyhole Markup Language is an XML format for Google Earth|
each endpoint has its own default format, for example endpoint /dataset/lon/lat
return a simple array of one value.
Usage
Running by official Docker image:
docker run -v "/$(pwd)/tests/data:/data" -e DEMO_PAGE=true -p 9090:9090 stefcud/geopicker
Running from source code in development mode, requirements: nodejs 16.x > and glibc 2.28 (Ubuntu 20.x > ):
npm install
cd server && npm install && cd -
npm run dev
Browse the demo page: http://localhost:9090/
Configuration
Full configuration options can be found in docs config
Development
some useful tools for contributors npm run <scriptname>
start
run in production modedev
run in development modedocker-up
run in local docker-compose containerbench
run benchmarksnpm publish .
build and publish new docker image
Requests Example
Get single location exchanging a few bytes:
$ curl "http://localhost:9090/default/11.123/46.123"
[195]
$ curl "http://localhost:9090/default/11.123/46.123?format=gpx"
output is a waypoint in GPX format:
<gpx version="1.1" creator="Geopicker">
<metadata/>
<wpt lat="46.123" lon="11.123">
<name/>
<desc/>
<ele>400</ele>
</wpt>
</gpx>
Post a json object and receive the same decorated with the result(still works with longitude
,latitude
):
$ curl -X POST -d '{"lon": 11.123, "lat": 46.123"}' \
-H 'Content-Type: application/json' \
"http://localhost:9090/elevation/lonlat"
{"lon": 11.123,"lat": 46.123,"val":195}
Get many stringified locations in one time(designed for not too long LineString):
curl "http://localhost:9090/elevation/11.1,46.1|11.2,46.2|11.3,46.3"
[195,1149,1051]
Post a very long LineString saving bytes:
$ curl -X POST -d '[[10.9998,46.0064],[10.9998,46.0065],[10.9999,46.0066],[11.0000,46.0067]]' \
-H 'Content-Type: application/json' \
"http://localhost:9090/elevation/locations"
[[10.9998,46.0064,900],[10.9998,46.0065,898],[10.9999,46.0066,898],[11.0000,46.0067,900]]
Post anyone GeoJSON geometry, the same input geometry is always returned which has a third dimension:
$ curl -X POST -d '{"type":"LineString","coordinates":[[11.1,46.1],[11.2,46.2],[11.3,46.3]]}' \
-H 'Content-Type: application/json' \
"http://localhost:9090/elevation/geometry"
{"type":"LineString","coordinates":[[11.1,46.1,195],[11.2,46.2,1149],[11.3,46.3,1051]]}
Post a GeoJSON geometry of 2 points and Densify the linestring adding point each 400 meters, this will help you build a less angular elevation graph:
$ curl -X POST -d '{"type":"LineString","coordinates":[[11,46],[11.01,46.01]]}' \
-H 'Content-Type: application/json' \
"http://localhost:9090/elevation/geometry?densify=400&precision=5"
output contains 3 additional interpolated locations with reduced precision digits:
{
"type": "Feature",
"geometry": {
"type": "LineString",
"coordinates": [
[11, 46, 897],
[11.003, 46.003, 968],
[11.006, 46.006, 1029],
[11.009, 46.009, 1122],
[11.01, 46.01, 1187]
]
}
}
Get the elevation value between two locations every 100 meters
curl "http://localhost:9090/elevation/11,46|11.01,46.01?densify=100"
[925,858,909,963,968,1001,1018,997,1025,1062,1064,1102,1115,1163,1187]
Benchmarks
benchmarks scripts: tests/benchmarks.js
using AutoCannon
cd tests && npm install && cd -
npm run bench
The results testing a dataset of 2x2km geotiff
┌─────────┬──────┬──────┬───────┬──────┬─────────┬─────────┬──────┐
│ Stat │ 2.5% │ 50% │ 97.5% │ 99% │ Avg │ Stdev │ Max │
├─────────┼──────┼──────┼───────┼──────┼─────────┼─────────┼──────┤
│ Latency │ 0 ms │ 0 ms │ 0 ms │ 1 ms │ 0.02 ms │ 0.16 ms │ 6 ms │
└─────────┴──────┴──────┴───────┴──────┴─────────┴─────────┴──────┘
┌───────────┬─────────┬─────────┬─────────┬─────────┬──────────┬─────────┬─────────┐
│ Stat │ 1% │ 2.5% │ 50% │ 97.5% │ Avg │ Stdev │ Min │
├───────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┤
│ Req/Sec │ 18111 │ 18111 │ 22783 │ 23471 │ 22175.28 │ 1473.21 │ 18099 │
├───────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┤
│ Bytes/Sec │ 4.02 MB │ 4.02 MB │ 5.05 MB │ 5.21 MB │ 4.92 MB │ 327 kB │ 4.01 MB │
└───────────┴─────────┴─────────┴─────────┴─────────┴──────────┴─────────┴─────────┘
Req/Bytes counts sampled once per second.
# of samples: 11
244k requests in 11.01s, 54.1 MB read
Roadmap
for details see the descriptions in the Roadmap issues
|Status| Goal | |------|-------------| | ✔️ | Swagger Documentation Interface | | 🚧 | manage multiple datasets | | 🚧 | ES6 modules | | 🚧 | extend benchmarks for any endpoints | | ✔️ | enable densify function | | 🚧 | enable simply function | | ❌ | unit testing | | ❌ | support vector format in datasets, such as shapefile | | ❌ | limit access by api key | | ❌ | caching responses | | ❌ | interfaces: websocket, jsonrpc | | ❌ | command line interface |
Copyright
Created by Stefano Cudini @zakis Distributed under the BSD 2-Clause license.