google_maps_cluster_manager_2 3.2.0 google_maps_cluster_manager_2: ^3.2.0 copied to clipboard
Simple Flutter clustering library for Google Maps based on Geohash.
import 'dart:async';
import 'dart:ui';
import 'package:example/place.dart';
import 'package:flutter/foundation.dart';
import 'package:flutter/material.dart';
import 'package:flutter/services.dart';
import 'package:google_maps_cluster_manager_2/google_maps_cluster_manager_2.dart';
import 'package:google_maps_flutter/google_maps_flutter.dart';
void main() => runApp(MyApp());
class MyApp extends StatelessWidget {
// This widget is the root of your application.
@override
Widget build(BuildContext context) {
return MaterialApp(
title: 'Cluster Manager Demo',
home: MapSample(),
);
}
}
// Clustering maps
class MapSample extends StatefulWidget {
@override
State<MapSample> createState() => MapSampleState();
}
class MapSampleState extends State<MapSample> {
late ClusterManager _manager;
Completer<GoogleMapController> _controller = Completer();
Set<Marker> markers = Set();
final CameraPosition _parisCameraPosition = CameraPosition(target: LatLng(48.856613, 2.352222), zoom: 12.0);
List<Place> items = [
for (int i = 0; i < 10; i++) Place(name: 'Place $i', latLng: LatLng(48.848200 + i * 0.001, 2.319124 + i * 0.001)),
for (int i = 0; i < 10; i++)
Place(name: 'Restaurant $i', isClosed: i % 2 == 0, latLng: LatLng(48.858265 - i * 0.001, 2.350107 + i * 0.001)),
for (int i = 0; i < 10; i++) Place(name: 'Bar $i', latLng: LatLng(48.858265 + i * 0.01, 2.350107 - i * 0.01)),
for (int i = 0; i < 10; i++) Place(name: 'Hotel $i', latLng: LatLng(48.858265 - i * 0.1, 2.350107 - i * 0.01)),
for (int i = 0; i < 10; i++) Place(name: 'Test $i', latLng: LatLng(66.160507 + i * 0.1, -153.369141 + i * 0.1)),
for (int i = 0; i < 10; i++) Place(name: 'Test2 $i', latLng: LatLng(-36.848461 + i * 1, 169.763336 + i * 1)),
];
@override
void initState() {
_manager = _initClusterManager();
super.initState();
}
ClusterManager _initClusterManager() {
return ClusterManager<Place>(
items,
_updateMarkers,
markerBuilder: _markerBuilder,
);
}
void _updateMarkers(Set<Marker> markers) {
print('Updated ${markers.length} markers');
setState(() {
this.markers = markers;
});
}
@override
Widget build(BuildContext context) {
return new Scaffold(
body: GoogleMap(
mapType: MapType.normal,
initialCameraPosition: _parisCameraPosition,
markers: markers,
onMapCreated: (GoogleMapController controller) {
_controller.complete(controller);
_manager.setMapId(controller.mapId);
},
onCameraMove: _manager.onCameraMove,
onCameraIdle: _manager.updateMap),
floatingActionButton: FloatingActionButton(
onPressed: () {
_manager.setItems(<Place>[
for (int i = 0; i < 30; i++)
Place(name: 'New Place ${DateTime.now()} $i', latLng: LatLng(48.858265 + i * 0.01, 2.350107))
]);
},
child: Icon(Icons.update),
),
);
}
Future<Marker> Function(Cluster<Place>) get _markerBuilder => (cluster) async {
return Marker(
markerId: MarkerId(cluster.getId()),
position: cluster.location,
onTap: () {
print('---- $cluster');
cluster.items.forEach((p) => print(p));
},
icon: await _getMarkerBitmap(cluster.isMultiple ? 125 : 75,
text: cluster.isMultiple ? cluster.count.toString() : null),
);
};
Future<BitmapDescriptor> _getMarkerBitmap(int size, {String? text}) async {
if (kIsWeb) size = (size / 2).floor();
final PictureRecorder pictureRecorder = PictureRecorder();
final Canvas canvas = Canvas(pictureRecorder);
final Paint paint1 = Paint()..color = Colors.orange;
final Paint paint2 = Paint()..color = Colors.white;
canvas.drawCircle(Offset(size / 2, size / 2), size / 2.0, paint1);
canvas.drawCircle(Offset(size / 2, size / 2), size / 2.2, paint2);
canvas.drawCircle(Offset(size / 2, size / 2), size / 2.8, paint1);
if (text != null) {
TextPainter painter = TextPainter(textDirection: TextDirection.ltr);
painter.text = TextSpan(
text: text,
style: TextStyle(fontSize: size / 3, color: Colors.white, fontWeight: FontWeight.normal),
);
painter.layout();
painter.paint(
canvas,
Offset(size / 2 - painter.width / 2, size / 2 - painter.height / 2),
);
}
final img = await pictureRecorder.endRecording().toImage(size, size);
final data = await img.toByteData(format: ImageByteFormat.png) as ByteData;
return BitmapDescriptor.fromBytes(data.buffer.asUint8List());
}
}