halkyon/halkyon_learn_flutter/test/feature/jellyfin/jellyfin_browser_test.dart

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feat(jellyfin): watch from one's own Jellyfin server and learn the words of its subtitles Animelon's way of learning from video, from the person's own Jellyfin server: connected per device (Settings, or a studyset's Add material › Watch from Jellyfin) with a name and password or a Quick Connect code, over HTTPS only (plain HTTP only to a server on the same machine); the token stays in the system's keyring. Shows, films and videos tied to a studyset follow the person in their settings as the server's and the item's ids alone (settings schema 9), named by the server when shown. The Watch screen plays the video (video_player on Android, media_kit's libmpv on Linux and Windows) with the line in the studyset's front language cut into the dictionary's words with furigana, and the back language's line beneath; a word tapped pauses the video and becomes a card with the line and its translation as its first hint, tagged with the show. The video's words are listed, most frequent first. The sound is the track in the studyset's language, whichever the file marks default, and the menu switches it; the subtitles read are a whole track, never a forced one (which only covers what the sound doesn't say), and captions for the hard of hearing only without plain ones. The line and its translation take the video's width in a box of a fixed height, so the video keeps its size; in the dark theme the video's colours glow around it, as YouTube's ambient mode, and the words' panel takes the colour of the episode's picture under the pointer. A line is cut into words with one request: DictionaryEndpoint.withKeys looks up every stretch of it that may be a word, as it stands and as every word it may be a conjugation of, in the new dictionary_key table (one row per key, indexed; migration dictionary-keys adds the table and its index, nothing else), which the loader fills beside the entries. The instance gets the text of each line looked up and keeps none of it, as the Watch screen says. Linux builds need libmpv-dev, and the app links libmpv: the snap stages Ubuntu's libmpv2, makes the update-alternatives links for BLAS and LAPACK that ffmpeg's speech recognition needs (staging never runs install scripts), and removes what the GNOME runtime and core24 already hold, as older copies of cairo, pango and librsvg hid the runtime's from its GTK. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-13 11:31:37 +02:00
import 'package:flutter_test/flutter_test.dart';
import 'package:halkyon_learn_flutter/src/core/content/rich_content.dart';
import 'package:halkyon_learn_flutter/src/core/router/route_paths.dart';
import 'package:halkyon_learn_flutter/src/feature/jellyfin/widget/watch_screen.dart';
import 'package:halkyon_learn_flutter/src/feature/studyset/data/studyset_payload.dart';
import 'package:halkyon_learn_flutter/src/feature/studyset/model/studyset_content.dart';
import 'package:material_ui/material_ui.dart';
import '../../support/fake_jellyfin.dart';
import '../../support/fake_studyset_gateway.dart';
import '../../support/pump_app.dart';
import '../../support/sample_episode.dart';
import '../../support/test_dependencies.dart';
void main() {
late FakeJellyfinGateway jellyfin;
late MemoryJellyfinStore store;
setUp(() {
jellyfin = sampleJellyfin();
store = MemoryJellyfinStore();
});
Future<void> show(WidgetTester tester, String location) async {
tester.view.physicalSize = const Size(1200, 1400);
tester.view.devicePixelRatio = 1;
addTearDown(tester.view.reset);
final studysets = FakeStudysetGateway()
..receiveRemoteChange(
'japanese',
encodeStudysetPayload(
StudysetContent(
title: 'Japanese',
description: RichContent.empty(),
frontLanguage: 'ja',
backLanguage: 'en',
),
),
);
await pumpApp(
tester,
testDependencies(
studysetGateway: studysets,
dictionaryGateway: sampleDictionary(),
jellyfinGateway: jellyfin,
jellyfinStore: store,
),
location: location,
);
await tester.pumpAndSettle();
}
/// Finds the server, from Settings or the studyset.
Future<void> findServer(WidgetTester tester) async {
await tester.enterText(
find.widgetWithText(TextField, 'Server address'),
'jellyfin.local:8920',
);
await tester.tap(find.text('Continue'));
await tester.pumpAndSettle();
}
testWidgets('Settings connects a server over HTTPS with a name and '
'password, kept on the device, and signs out of it', (tester) async {
await show(tester, RoutePaths.settings);
await tester.scrollUntilVisible(
find.widgetWithText(TextField, 'Server address'),
200,
scrollable: find.byType(Scrollable).first,
);
await tester.enterText(
find.widgetWithText(TextField, 'Server address'),
'nothing.local',
);
await tester.tap(find.text('Continue'));
await tester.pumpAndSettle();
expect(
find.text('No server answered at that address over HTTPS.'),
findsOneWidget,
);
await tester.enterText(
find.widgetWithText(TextField, 'Server address'),
'http://jellyfin.local:8920',
);
await tester.tap(find.text('Continue'));
await tester.pumpAndSettle();
expect(
find.text(
"That address isn't encrypted, and your password would travel in "
"the clear. Use the server's HTTPS address.",
),
findsOneWidget,
);
await findServer(tester);
expect(find.text('Living room'), findsOneWidget);
await tester.enterText(find.widgetWithText(TextField, 'User name'), 'mika');
await tester.enterText(find.widgetWithText(TextField, 'Password'), 'wrong');
await tester.tap(find.text('Sign in'));
await tester.pumpAndSettle();
expect(find.text('The user name or password is wrong.'), findsOneWidget);
await tester.enterText(
find.widgetWithText(TextField, 'Password'),
'secret',
);
await tester.tap(find.text('Sign in'));
await tester.pumpAndSettle();
expect(find.text('mika on Living room'), findsOneWidget);
expect(store.kept?.account?.token, 'token-1');
await tester.tap(find.byTooltip('Sign out of Jellyfin'));
await tester.pumpAndSettle();
expect(find.widgetWithText(TextField, 'Server address'), findsOneWidget);
expect(jellyfin.signedOut, ['token-1']);
});
testWidgets('a code approved in another Jellyfin app signs in', (
tester,
) async {
await show(tester, RoutePaths.jellyfin('japanese'));
await findServer(tester);
await tester.tap(find.text('Sign in with a code'));
// It waits, spinning, until the code is approved.
await tester.pump();
await tester.pump();
expect(find.text('123456'), findsOneWidget);
await tester.pump(const Duration(seconds: 3));
expect(find.text('123456'), findsOneWidget);
jellyfin.approved = true;
await tester.pump(const Duration(seconds: 3));
await tester.pumpAndSettle();
expect(find.text('Anime'), findsOneWidget);
expect(store.kept?.account?.token, 'token-2');
});
testWidgets('a music library lists its albums and songs; a song without '
'lyrics is greyed and opens nothing, one with lyrics plays', (
tester,
) async {
jellyfin = sampleMusic();
store = signedInJellyfin();
await show(
tester,
RoutePaths.jellyfin(
'japanese',
parentId: 'album-1',
name: 'Sample Album',
),
);
expect(find.text('Sample Song'), findsOneWidget);
expect(find.textContaining('No lyrics'), findsOneWidget);
await tester.tap(find.text('Sample Song (Instrumental)'));
await tester.pumpAndSettle();
expect(find.text('Sample Song (Instrumental)'), findsOneWidget);
await tester.tap(find.text('Sample Song'));
for (var frame = 0; frame < 6; frame++) {
await tester.pump(const Duration(milliseconds: 500));
}
expect(find.text('Words in this song'), findsOneWidget);
});
feat(jellyfin): watch from one's own Jellyfin server and learn the words of its subtitles Animelon's way of learning from video, from the person's own Jellyfin server: connected per device (Settings, or a studyset's Add material › Watch from Jellyfin) with a name and password or a Quick Connect code, over HTTPS only (plain HTTP only to a server on the same machine); the token stays in the system's keyring. Shows, films and videos tied to a studyset follow the person in their settings as the server's and the item's ids alone (settings schema 9), named by the server when shown. The Watch screen plays the video (video_player on Android, media_kit's libmpv on Linux and Windows) with the line in the studyset's front language cut into the dictionary's words with furigana, and the back language's line beneath; a word tapped pauses the video and becomes a card with the line and its translation as its first hint, tagged with the show. The video's words are listed, most frequent first. The sound is the track in the studyset's language, whichever the file marks default, and the menu switches it; the subtitles read are a whole track, never a forced one (which only covers what the sound doesn't say), and captions for the hard of hearing only without plain ones. The line and its translation take the video's width in a box of a fixed height, so the video keeps its size; in the dark theme the video's colours glow around it, as YouTube's ambient mode, and the words' panel takes the colour of the episode's picture under the pointer. A line is cut into words with one request: DictionaryEndpoint.withKeys looks up every stretch of it that may be a word, as it stands and as every word it may be a conjugation of, in the new dictionary_key table (one row per key, indexed; migration dictionary-keys adds the table and its index, nothing else), which the loader fills beside the entries. The instance gets the text of each line looked up and keeps none of it, as the Watch screen says. Linux builds need libmpv-dev, and the app links libmpv: the snap stages Ubuntu's libmpv2, makes the update-alternatives links for BLAS and LAPACK that ffmpeg's speech recognition needs (staging never runs install scripts), and removes what the GNOME runtime and core24 already hold, as older copies of cairo, pango and librsvg hid the runtime's from its GTK. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-13 11:31:37 +02:00
testWidgets('a show tied to the studyset comes first next time; an '
'episode opens to be watched', (tester) async {
store = signedInJellyfin();
await show(tester, RoutePaths.jellyfin('japanese'));
expect(find.text('Tied to this studyset'), findsNothing);
await tester.tap(find.text('Anime'));
await tester.pumpAndSettle();
await tester.tap(find.byTooltip('Tie to this studyset'));
await tester.pumpAndSettle();
expect(find.byTooltip('Untie from this studyset'), findsOneWidget);
await tester.pageBack();
await tester.pumpAndSettle();
expect(find.text('Tied to this studyset'), findsOneWidget);
await tester.tap(find.text('Sample Journey'));
await tester.pumpAndSettle();
await tester.tap(find.text('Season 1'));
await tester.pumpAndSettle();
expect(find.text('S1 E1 · 24 min'), findsOneWidget);
await tester.tap(find.text('The Station'));
await tester.pumpAndSettle();
expect(find.byType(WatchScreen), findsOneWidget);
});
testWidgets('a search finds shows and episodes by their name', (
tester,
) async {
store = signedInJellyfin();
await show(tester, RoutePaths.jellyfin('japanese'));
await tester.enterText(find.byType(TextField), 'station');
await tester.pump(const Duration(milliseconds: 300));
await tester.pumpAndSettle();
expect(find.text('The Station'), findsOneWidget);
expect(find.text('Libraries'), findsNothing);
});
testWidgets("the studyset's Add material offers Jellyfin only once this "
'device is signed in to a server (in Settings), as the assistant '
'shows only once switched on', (tester) async {
await show(tester, RoutePaths.studyset('japanese'));
await tester.tap(find.text('Add material'));
await tester.pumpAndSettle();
expect(find.text('Create a path'), findsOneWidget);
expect(find.text('From Jellyfin'), findsNothing);
});
testWidgets('signed in, Add material › From Jellyfin opens its '
'libraries', (tester) async {
store = signedInJellyfin();
feat(jellyfin): watch from one's own Jellyfin server and learn the words of its subtitles Animelon's way of learning from video, from the person's own Jellyfin server: connected per device (Settings, or a studyset's Add material › Watch from Jellyfin) with a name and password or a Quick Connect code, over HTTPS only (plain HTTP only to a server on the same machine); the token stays in the system's keyring. Shows, films and videos tied to a studyset follow the person in their settings as the server's and the item's ids alone (settings schema 9), named by the server when shown. The Watch screen plays the video (video_player on Android, media_kit's libmpv on Linux and Windows) with the line in the studyset's front language cut into the dictionary's words with furigana, and the back language's line beneath; a word tapped pauses the video and becomes a card with the line and its translation as its first hint, tagged with the show. The video's words are listed, most frequent first. The sound is the track in the studyset's language, whichever the file marks default, and the menu switches it; the subtitles read are a whole track, never a forced one (which only covers what the sound doesn't say), and captions for the hard of hearing only without plain ones. The line and its translation take the video's width in a box of a fixed height, so the video keeps its size; in the dark theme the video's colours glow around it, as YouTube's ambient mode, and the words' panel takes the colour of the episode's picture under the pointer. A line is cut into words with one request: DictionaryEndpoint.withKeys looks up every stretch of it that may be a word, as it stands and as every word it may be a conjugation of, in the new dictionary_key table (one row per key, indexed; migration dictionary-keys adds the table and its index, nothing else), which the loader fills beside the entries. The instance gets the text of each line looked up and keeps none of it, as the Watch screen says. Linux builds need libmpv-dev, and the app links libmpv: the snap stages Ubuntu's libmpv2, makes the update-alternatives links for BLAS and LAPACK that ffmpeg's speech recognition needs (staging never runs install scripts), and removes what the GNOME runtime and core24 already hold, as older copies of cairo, pango and librsvg hid the runtime's from its GTK. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-13 11:31:37 +02:00
await show(tester, RoutePaths.studyset('japanese'));
await tester.tap(find.text('Add material'));
await tester.pumpAndSettle();
await tester.tap(find.text('From Jellyfin'));
feat(jellyfin): watch from one's own Jellyfin server and learn the words of its subtitles Animelon's way of learning from video, from the person's own Jellyfin server: connected per device (Settings, or a studyset's Add material › Watch from Jellyfin) with a name and password or a Quick Connect code, over HTTPS only (plain HTTP only to a server on the same machine); the token stays in the system's keyring. Shows, films and videos tied to a studyset follow the person in their settings as the server's and the item's ids alone (settings schema 9), named by the server when shown. The Watch screen plays the video (video_player on Android, media_kit's libmpv on Linux and Windows) with the line in the studyset's front language cut into the dictionary's words with furigana, and the back language's line beneath; a word tapped pauses the video and becomes a card with the line and its translation as its first hint, tagged with the show. The video's words are listed, most frequent first. The sound is the track in the studyset's language, whichever the file marks default, and the menu switches it; the subtitles read are a whole track, never a forced one (which only covers what the sound doesn't say), and captions for the hard of hearing only without plain ones. The line and its translation take the video's width in a box of a fixed height, so the video keeps its size; in the dark theme the video's colours glow around it, as YouTube's ambient mode, and the words' panel takes the colour of the episode's picture under the pointer. A line is cut into words with one request: DictionaryEndpoint.withKeys looks up every stretch of it that may be a word, as it stands and as every word it may be a conjugation of, in the new dictionary_key table (one row per key, indexed; migration dictionary-keys adds the table and its index, nothing else), which the loader fills beside the entries. The instance gets the text of each line looked up and keeps none of it, as the Watch screen says. Linux builds need libmpv-dev, and the app links libmpv: the snap stages Ubuntu's libmpv2, makes the update-alternatives links for BLAS and LAPACK that ffmpeg's speech recognition needs (staging never runs install scripts), and removes what the GNOME runtime and core24 already hold, as older copies of cairo, pango and librsvg hid the runtime's from its GTK. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-13 11:31:37 +02:00
await tester.pump();
await tester.pumpAndSettle();
expect(find.text('Libraries'), findsOneWidget);
feat(jellyfin): watch from one's own Jellyfin server and learn the words of its subtitles Animelon's way of learning from video, from the person's own Jellyfin server: connected per device (Settings, or a studyset's Add material › Watch from Jellyfin) with a name and password or a Quick Connect code, over HTTPS only (plain HTTP only to a server on the same machine); the token stays in the system's keyring. Shows, films and videos tied to a studyset follow the person in their settings as the server's and the item's ids alone (settings schema 9), named by the server when shown. The Watch screen plays the video (video_player on Android, media_kit's libmpv on Linux and Windows) with the line in the studyset's front language cut into the dictionary's words with furigana, and the back language's line beneath; a word tapped pauses the video and becomes a card with the line and its translation as its first hint, tagged with the show. The video's words are listed, most frequent first. The sound is the track in the studyset's language, whichever the file marks default, and the menu switches it; the subtitles read are a whole track, never a forced one (which only covers what the sound doesn't say), and captions for the hard of hearing only without plain ones. The line and its translation take the video's width in a box of a fixed height, so the video keeps its size; in the dark theme the video's colours glow around it, as YouTube's ambient mode, and the words' panel takes the colour of the episode's picture under the pointer. A line is cut into words with one request: DictionaryEndpoint.withKeys looks up every stretch of it that may be a word, as it stands and as every word it may be a conjugation of, in the new dictionary_key table (one row per key, indexed; migration dictionary-keys adds the table and its index, nothing else), which the loader fills beside the entries. The instance gets the text of each line looked up and keeps none of it, as the Watch screen says. Linux builds need libmpv-dev, and the app links libmpv: the snap stages Ubuntu's libmpv2, makes the update-alternatives links for BLAS and LAPACK that ffmpeg's speech recognition needs (staging never runs install scripts), and removes what the GNOME runtime and core24 already hold, as older copies of cairo, pango and librsvg hid the runtime's from its GTK. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-13 11:31:37 +02:00
});
}