125 lines
4.7 KiB
Dart
125 lines
4.7 KiB
Dart
import "package:flutter/material.dart";
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import "package:photos/models/file/file.dart";
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import "package:photos/theme/ente_theme.dart";
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import "package:photos/ui/viewer/file/no_thumbnail_widget.dart";
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import "package:photos/ui/viewer/people/cluster_page.dart";
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import "package:photos/ui/viewer/search/result/person_face_widget.dart";
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class ClusterBreakupPage extends StatefulWidget {
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final Map<int, List<EnteFile>> newClusterIDsToFiles;
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final String title;
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const ClusterBreakupPage(
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this.newClusterIDsToFiles,
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this.title, {
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super.key,
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});
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@override
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State<ClusterBreakupPage> createState() => _ClusterBreakupPageState();
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}
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class _ClusterBreakupPageState extends State<ClusterBreakupPage> {
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@override
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Widget build(BuildContext context) {
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final keys = widget.newClusterIDsToFiles.keys.toList();
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final clusterIDsToFiles = widget.newClusterIDsToFiles;
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return Scaffold(
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appBar: AppBar(
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title: Text(widget.title),
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),
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body: ListView.builder(
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itemCount: widget.newClusterIDsToFiles.keys.length,
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itemBuilder: (context, index) {
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final int clusterID = keys[index];
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final List<EnteFile> files = clusterIDsToFiles[keys[index]]!;
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return InkWell(
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onTap: () {
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Navigator.of(context).push(
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MaterialPageRoute(
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builder: (context) => ClusterPage(
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files,
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clusterID: index,
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appendTitle: "(Analysis)",
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),
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),
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);
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},
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child: Container(
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padding: const EdgeInsets.all(8.0),
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child: Row(
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children: <Widget>[
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SizedBox(
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width: 64,
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height: 64,
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child: files.isNotEmpty
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? ClipRRect(
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borderRadius: const BorderRadius.all(
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Radius.elliptical(16, 12),),
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child: PersonFaceWidget(
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files.first,
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clusterID: clusterID,
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),
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)
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: const ClipRRect(
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borderRadius:
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BorderRadius.all(Radius.elliptical(16, 12)),
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child: NoThumbnailWidget(
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addBorder: false,
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),
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),
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),
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const SizedBox(
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width: 8.0,
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), // Add some spacing between the thumbnail and the text
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Expanded(
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child: Padding(
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padding: const EdgeInsets.symmetric(horizontal: 8.0),
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child: Row(
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mainAxisAlignment: MainAxisAlignment.spaceBetween,
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children: <Widget>[
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Text(
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"${clusterIDsToFiles[keys[index]]!.length} photos",
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style: getEnteTextTheme(context).body,
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),
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// GestureDetector(
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// onTap: () async {
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// try {
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// final int result = await FaceMLDataDB
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// .instance
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// .removeClusterToPerson(
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// personID: widget.person.remoteID,
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// clusterID: clusterID,
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// );
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// _logger.info(
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// "Removed cluster $clusterID from person ${widget.person.remoteID}, result: $result",
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// );
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// Bus.instance.fire(PeopleChangedEvent());
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// setState(() {});
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// } catch (e) {
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// _logger.severe(
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// "removing cluster from person,",
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// e,
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// );
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// }
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// },
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// child: const Icon(
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// CupertinoIcons.minus_circled,
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// color: Colors.red,
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// ),
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// ),
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],
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),
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),
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),
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],
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),
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),
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);
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},
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),
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);
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}
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}
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