Australian Election 2016 Application
See LICENSE for usage and distribution restrictions.
Summary
In 2016 there was a national election in Australia, this application was used to show the current state of the nation, where it was possible to vote, and once voting had closed the live results as they came in.
It consists of three main components:
-
A dart-based client (under
dart_frontend). This is an Angular2 application which uses a simple read-only HTTP API to get geospatial data combined with Firebase to have real-time data and application state. -
A go-based server (under
go_backend). This was responsible for serving the static geospatial data, as well as the physical locations of polling places. It was also capable of computing the electorate for a given location. -
[Not Included]: A utility that read various data sources (predominantly the AEC) for the state of the election and pushed this data to Firebase. It is possible to understand the Firebase schema readily from the running website or from the
firebase_service.
The live version of this website is visible at: https://ausvotes.withgoogle.com
Dependencies
You'll need:
- Docker - without need for sudo-prefix.
- Go - ensure GOPATH is set.
- Dart
- Make
- If using Appengine Go Appengine
- A Google Maps API key, for the go backend and the dart frontend.
Please also ensure you comply with the various [licenses] (./LICENSE).
Running the Application
Running Locally - go backend
To run the go backend locally:
make
./serveIf all the dependencies are met, make will create the dataset, build the go application and the dart frontend.
Access the local server at http://localhost:8090/.
Running Locally - Dart frontend
To run the frontend client against an existing backend:
make
cd dart_frontend
pub serveAccess the local server at http://localhost:8080/.
You can edit [dart_frontend/lib/conf/config_debug.yaml] (dart_frontend/lib/conf/config_debug.yaml) to modify pub serve's backend.
Deployment to Appengine
To deploy to appengine, ensure the cloned project is associated with an appengine project (normally done via https://console.cloud.google.com/code/develop).
Once that's done, you should be able run make install.
Examples of the Raw API
The following REST requests show how the Go App Engine hosted API can be used to make queries against the shape data that is used to show electorates on the map.
Which electorates are in this viewport?
Request:
/viewport/11?bbox=-12.73,130.83,-12.26,131.2
Response:
{
"type":"FeatureCollection",
"features":[
{
"id":"electorate_ids",
"type":"Feature",
"geometry":null,
"properties":{
"electorates":[
"lingiari",
"solomon"
],
"type":"electorate_ids"
}
},
{
"id":"solomon",
"type":"Feature",
"geometry":{
"type":"MultiPoint",
"coordinates":[
[
130.94715881347656,
-12.411874771118164
]
]
},
"properties":{
"name":"Solomon",
"type":"electorate_label"
}
},
{
"id":"lingiari",
"type":"Feature",
"geometry":{
"type":"MultiPoint",
"coordinates":[
[
133.43023681640625,
-19.41421890258789
],
[
137.03176879882812,
-15.710556983947754
],
[
136.58103942871094,
-14.002981185913086
],
[
130.35406494140625,
-11.622258186340332
],
[
131.0478973388672,
-11.589698791503906
]
]
},
"properties":{
"name":"Lingiari",
"type":"electorate_label"
}
}
]
}Fetch the geometry for electorates Lingiari and Solomon
Note: For readability, allowEncodedPolylineFeatureCollection in [go_backend/http.go] (go_backend/http.go) was set to false for generating this output.
The application otherwise sends an encoded polyline JSON response, to reduce payload size.
The client can work with either formats.
Request:
/electorates/6?ids=lingiari,solomon
Response (truncated):
{
"type": "FeatureCollection",
"bbox": [
96.816766,
-25.999482,
138.001198,
-10.412356
],
"features": [
{
"id": "lingiari",
"type": "Feature",
"bbox": [
96.816766,
-25.999482,
138.001198,
-10.412356
],
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
136.034257,
-13.716478
],
[
136.015038,
-13.830947
],
...
[
135.917549,
-13.977928
]
]
],
[
[
[
136.949155,
-15.729083
],
[
137.000434,
-15.620942
],
...
[
136.949155,
-15.729083
]
]
],
[
[
[
136.816494,
-13.854235
],
[
136.778979,
-14.023927
],
...
[
136.816494,
-13.854235
]
]
],
]
},
"properties": {
"area_sqkm": 1.352034e+06,
"centroid": [
[
133.43024,
-19.414219
],
[
137.03177,
-15.710557
],
[
136.58104,
-14.002981
]
],
"name": "Lingiari",
"state": "NT"
}
},
{
"id": "solomon",
"type": "Feature",
"bbox": [
130.813098,
-12.547189,
131.051494,
-12.143749
],
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
131.034867,
-12.360879
],
[
131.011878,
-12.531481
],
...
[
131.034867,
-12.360879
]
]
]
]
},
"properties": {
"area_sqkm": 336.6861,
"centroid": [
[
130.94716,
-12.411875
]
],
"name": "Solomon",
"state": "NT"
}
}
]
}This is not an official Google product
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