halkyon/halkyon_learn_flutter/test/support/fake_asset_gateway.dart

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Import Anki decks with their files and history Files in content: the person's images and sounds as asset rows synced like all content, their files kept by hash on each device, uploaded after each sync, downloaded on demand and checked against their hash (core/asset/AssetRepository). Rich text names them as asset:<id> URLs, in the editor's image block and an audio block of ours; any other URL is never fetched. Sounds play through audioplayers, one at a time. Content holding only an image or a sound isn't blank, and lists show it as such. The Anki import ("Import from Anki" under Add material): .apkg and .colpkg packages in all three formats Anki has written, read on an isolate of their own. Modern packages compress everything with zstd in frames that don't record their size, which pure_zstd v1.0.0 refuses; our fork decodes them. Fields become rich text by a converter of our own (lines, lists, formatting, images, sounds, cloze deletions hidden on the front). One card per note, the files first, studysets as chosen (flatten, sub-studysets, or tags by subdeck), the notes' tags, and, if wanted, the review history, which FSRS replays: the first template's reviews to the card's schedule, a reversed note type's second to the reverse one. Imported cards say where they came from in their first revision (card schema 3); the dashboard doesn't count them as written. The test fixtures are exported by Anki itself (tool/anki/make_fixtures.py). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-02 04:52:02 +02:00
import 'dart:typed_data';
import 'package:halkyon_learn_flutter/src/core/asset/data/asset_gateway.dart';
/// An [AssetGateway] in memory: ids are `asset-001`, `asset-002`, … in the
/// order of creation.
class FakeAssetGateway() implements AssetGateway {
final _rows = <String, AssetRow>{};
var _next = 1;
/// The rows, in the order they were stored.
List<AssetRow> get rows => [..._rows.values];
feat: PDF sources: read, take notes and cards from pages, deadlines PDFs live in a studyset's new Files tab: uploaded from Add material (a file the studyset holds already asks first), each row with its pages, cards, notes and size, how far it is read and its reading deadline; renamed, given a deadline (a page or a chapter by a day), marked as read, started afresh, deleted with a moment to undo. The reader (/pdfs/:id) opens where reading left off: on wide windows a rail of tools (search, fit, zoom, fullscreen), a page counter with the chapter, and a sidebar; on phones a top bar, a page scrubber and a sheet. The sidebar holds the PDF's flashcards, by page or chapter, made from selected text or written there, each tied to its page and tagged with its chapter; and the page's note, an ordinary note tied to the page. Screenshots of a region become images that know their page. Cards and screenshots lead back to their page; reading on past a chapter with cards suggests studying it. Home shows the deadlines running and to come, and a timeline of them. Server: pdf_source rows (content in the payload, last writer wins) and an append-only pdf_reading log, the furthest page derived from it so devices never conflict. Files up to 50 MB for PDFs (20 MB for others; a larger file that isn't a PDF is deleted once stored). A deleted PDF takes its file's asset row along unless another PDF has the same file. Card payload 4 and note payload 2 keep the page. The reader draws with pdfrx (PDFium) behind PdfEngine in Dependencies; widget tests use a fake, and integration_test/pdf_engine_test.dart checks the real engine on a device or the desktop. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-03 14:40:08 +02:00
/// The rows deleted, in order.
final deleted = <String>[];
Import Anki decks with their files and history Files in content: the person's images and sounds as asset rows synced like all content, their files kept by hash on each device, uploaded after each sync, downloaded on demand and checked against their hash (core/asset/AssetRepository). Rich text names them as asset:<id> URLs, in the editor's image block and an audio block of ours; any other URL is never fetched. Sounds play through audioplayers, one at a time. Content holding only an image or a sound isn't blank, and lists show it as such. The Anki import ("Import from Anki" under Add material): .apkg and .colpkg packages in all three formats Anki has written, read on an isolate of their own. Modern packages compress everything with zstd in frames that don't record their size, which pure_zstd v1.0.0 refuses; our fork decodes them. Fields become rich text by a converter of our own (lines, lists, formatting, images, sounds, cloze deletions hidden on the front). One card per note, the files first, studysets as chosen (flatten, sub-studysets, or tags by subdeck), the notes' tags, and, if wanted, the review history, which FSRS replays: the first template's reviews to the card's schedule, a reversed note type's second to the reverse one. Imported cards say where they came from in their first revision (card schema 3); the dashboard doesn't count them as written. The test fixtures are exported by Anki itself (tool/anki/make_fixtures.py). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-02 04:52:02 +02:00
/// Stores [row] as if another device had written it and a sync had
/// brought it here.
void receiveRemote(AssetRow row) => _rows[row.id] = row;
@override
Future<AssetRow?> byId(String id) async => _rows[id];
@override
Future<AssetRow?> bySha256(String sha256) async =>
_rows.values.where((row) => row.sha256 == sha256).firstOrNull;
@override
Future<String> insert({
required String sha256,
required String mimeType,
required int byteSize,
required ByteData payload,
}) async {
final id = 'asset-${'${_next++}'.padLeft(3, '0')}';
_rows[id] = (
id: id,
sha256: sha256,
mimeType: mimeType,
byteSize: byteSize,
payload: payload,
);
return id;
}
feat: PDF sources: read, take notes and cards from pages, deadlines PDFs live in a studyset's new Files tab: uploaded from Add material (a file the studyset holds already asks first), each row with its pages, cards, notes and size, how far it is read and its reading deadline; renamed, given a deadline (a page or a chapter by a day), marked as read, started afresh, deleted with a moment to undo. The reader (/pdfs/:id) opens where reading left off: on wide windows a rail of tools (search, fit, zoom, fullscreen), a page counter with the chapter, and a sidebar; on phones a top bar, a page scrubber and a sheet. The sidebar holds the PDF's flashcards, by page or chapter, made from selected text or written there, each tied to its page and tagged with its chapter; and the page's note, an ordinary note tied to the page. Screenshots of a region become images that know their page. Cards and screenshots lead back to their page; reading on past a chapter with cards suggests studying it. Home shows the deadlines running and to come, and a timeline of them. Server: pdf_source rows (content in the payload, last writer wins) and an append-only pdf_reading log, the furthest page derived from it so devices never conflict. Files up to 50 MB for PDFs (20 MB for others; a larger file that isn't a PDF is deleted once stored). A deleted PDF takes its file's asset row along unless another PDF has the same file. Card payload 4 and note payload 2 keep the page. The reader draws with pdfrx (PDFium) behind PdfEngine in Dependencies; widget tests use a fake, and integration_test/pdf_engine_test.dart checks the real engine on a device or the desktop. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-03 14:40:08 +02:00
@override
Future<void> delete(String id) async {
if (_rows.remove(id) != null) {
deleted.add(id);
}
}
Import Anki decks with their files and history Files in content: the person's images and sounds as asset rows synced like all content, their files kept by hash on each device, uploaded after each sync, downloaded on demand and checked against their hash (core/asset/AssetRepository). Rich text names them as asset:<id> URLs, in the editor's image block and an audio block of ours; any other URL is never fetched. Sounds play through audioplayers, one at a time. Content holding only an image or a sound isn't blank, and lists show it as such. The Anki import ("Import from Anki" under Add material): .apkg and .colpkg packages in all three formats Anki has written, read on an isolate of their own. Modern packages compress everything with zstd in frames that don't record their size, which pure_zstd v1.0.0 refuses; our fork decodes them. Fields become rich text by a converter of our own (lines, lists, formatting, images, sounds, cloze deletions hidden on the front). One card per note, the files first, studysets as chosen (flatten, sub-studysets, or tags by subdeck), the notes' tags, and, if wanted, the review history, which FSRS replays: the first template's reviews to the card's schedule, a reversed note type's second to the reverse one. Imported cards say where they came from in their first revision (card schema 3); the dashboard doesn't count them as written. The test fixtures are exported by Anki itself (tool/anki/make_fixtures.py). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-02 04:52:02 +02:00
}