589 lines
22 KiB
Dart
589 lines
22 KiB
Dart
import 'dart:async';
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import 'dart:convert';
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import 'dart:io';
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import 'package:crypto/crypto.dart' show sha256;
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import 'package:flutter/foundation.dart';
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import 'package:http/http.dart' as http;
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import 'package:path_provider/path_provider.dart';
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import '../config/app_config.dart';
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/// 识别档位标识：s = 高识别（@1280 精度优先，默认），n = 高性能（@704 速度优先）
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const String kVariantS = 's';
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const String kVariantN = 'n';
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/// 模型身份键：同一数据集不同档位是两个独立条目（下载/激活/记账互不影响）
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typedef ModelKey = ({int datasetId, String variant});
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/// 模型目录条目（GET /api/v1/app/update 响应 data.models[]）。
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/// 服务器发布模型后随版本检查一同下发，App 按目录逐数据集下载/更新。
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/// 双档位（2026-09-03）：每数据集至多 2 条（s/n 各一），[variant] 标识档位。
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class ModelCatalogItem {
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final int datasetId;
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final String datasetName;
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final String variant;
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final String version;
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final List<String> labels;
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final int sizeBytes;
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final String sha256;
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final String downloadUrl;
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final String coverUrl;
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const ModelCatalogItem({
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required this.datasetId,
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required this.datasetName,
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this.variant = kVariantS,
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required this.version,
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required this.labels,
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required this.sizeBytes,
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required this.sha256,
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required this.downloadUrl,
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this.coverUrl = '',
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});
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factory ModelCatalogItem.fromJson(Map<String, dynamic> j) =>
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ModelCatalogItem(
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datasetId: (j['datasetId'] as num?)?.toInt() ?? 0,
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datasetName: j['datasetName'] as String? ?? '',
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// 旧目录无 variant 字段（2026-09-03 前发布的单档 s）→ 归为 s
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variant: j['variant'] as String? ?? kVariantS,
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version: j['version'] as String? ?? '',
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labels: (j['labels'] as List? ?? const [])
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.map((e) => e.toString())
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.toList(),
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sizeBytes: (j['sizeBytes'] as num?)?.toInt() ?? 0,
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sha256: j['sha256'] as String? ?? '',
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downloadUrl: j['downloadUrl'] as String? ?? '',
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coverUrl: j['coverUrl'] as String? ?? '',
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);
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}
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/// 已就绪模型（字节 + 标签，供推理 worker 加载）
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class ModelBundle {
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final int datasetId;
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final String datasetName;
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final String variant;
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final String version;
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final List<String> labels;
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final Uint8List bytes;
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const ModelBundle({
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required this.datasetId,
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required this.datasetName,
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required this.variant,
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required this.version,
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required this.labels,
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required this.bytes,
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});
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}
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/// 模型热更新管理：启动时拉取模型目录（随 /app/update 公开接口下发，无需登录态），
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/// 按需下载/校验/持久化各数据集模型，供相机页多模型并行推理。
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///
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/// 双档位存储（2026-09-03）：`models/<datasetId>/` 存放 s 档（legacy 布局，目录键 =
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/// 档位标识符的「无子目录」形态，存量设备无需迁移），n 档存 `models/<datasetId>/n/`；
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/// 各目录含 model.tflite + labels.json + meta.json，meta 记录 {version, sha256}，
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/// 版本与摘要都未变化时跳过下载。记账键一律是 (datasetId, variant) 二元组。
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/// 激活集与识别档位无关（跨档保持）；推理加载「当前档位」下全部激活模型，
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/// 切档即热加载新档位已激活模型（[mode] 持久化本地）。
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class ModelManager extends ChangeNotifier {
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static final ModelManager instance = ModelManager._();
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final String baseUrl;
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final http.Client _client;
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final Future<Directory> Function()? _rootDirOverride;
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List<ModelBundle> _models = const [];
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List<ModelCatalogItem> _catalog = const [];
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final Set<ModelKey> _active = {};
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final Set<ModelKey> _downloaded = {};
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final Map<ModelKey, double> _progress = {};
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final Map<ModelKey, String> _errors = {};
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final Set<ModelKey> _cancelRequested = {};
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String _mode = kVariantS;
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bool _modeLoaded = false;
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bool _activeLoaded = false;
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bool _ready = false;
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bool _refreshing = false;
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String? _error;
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Future<void>? _inFlight;
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/// 模型文件/激活集变更版本戳：下载完成或激活变化 +1，
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/// UI 据此判断是否需要重建推理 worker（2026-09-01 自动更新引入）
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int _revision = 0;
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int get revision => _revision;
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/// 服务器目录（弹层模型清单展示用；同一数据集可能 s/n 两行）
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List<ModelCatalogItem> get catalog => _catalog;
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/// 当前识别档位（s 高识别默认 / n 高性能），持久化，切档即热加载新档位模型
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String get mode => _mode;
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bool isActive(int datasetId, String variant) =>
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_active.contains((datasetId: datasetId, variant: variant));
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/// 该 (数据集, 档位) 模型文件是否已下载到本地（同步判断，内存态）
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bool isDownloaded(int datasetId, String variant) =>
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_downloaded.contains((datasetId: datasetId, variant: variant));
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/// 下载进度 0..1（无下载/已完成为 null）
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double? progressOf(int datasetId, String variant) =>
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_progress[(datasetId: datasetId, variant: variant)];
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/// 下载失败原因（失败后可重试）
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String? errorOf(int datasetId, String variant) =>
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_errors[(datasetId: datasetId, variant: variant)];
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/// 中断进行中的下载：下一个数据块到达时终止（丢弃 .part），卡片恢复「使用」。
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/// 取消不记错误，可再次下载。
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void cancelDownload(int datasetId, String variant) {
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_cancelRequested.add((datasetId: datasetId, variant: variant));
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}
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ModelManager._({String? baseUrl, http.Client? client})
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: this(baseUrl: baseUrl, client: client);
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/// 可注入 baseUrl / client / 存储根目录（单测用）
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@visibleForTesting
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ModelManager({
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String? baseUrl,
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http.Client? client,
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Future<Directory> Function()? rootDir,
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}) : baseUrl = baseUrl ?? AppConfig.apiBaseUrl,
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_client = client ?? http.Client(),
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_rootDirOverride = rootDir;
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/// 已激活且已下载、且属于当前档位的模型列表（空 = 未加载任何模型，仅预览）
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List<ModelBundle> get models => _models;
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/// 是否成功拉取过目录（即使下载失败也为 true，用于区分"从未联网"与"目录为空"）
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bool get ready => _ready;
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/// 模型目录拉取失败的错误信息（仅目录级；下载/校验失败见 errorOf）
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String? get error => _error;
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bool get refreshing => _refreshing;
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/// 模型名摘要（诊断行展示）：数据集名+档位
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String get modelsLabel {
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if (_models.isEmpty) return '未下载';
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return _models.map((m) => '${m.datasetName}(${m.variant})').join(',');
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}
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/// 切换识别档位：持久化本地并热加载该档位已激活模型（激活集跨档保留）
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Future<void> setMode(String variant) async {
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if (variant != kVariantS && variant != kVariantN) return;
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if (_mode == variant) return;
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_mode = variant;
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await _saveMode();
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_models = await _loadBundles(_catalog);
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_revision++;
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notifyListeners();
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}
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/// 拉取目录并同步本地模型；并发调用共享同一进行中的刷新。
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Future<void> refresh() {
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if (_refreshing) return _inFlight ?? Future.value();
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_refreshing = true;
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_inFlight = _doRefresh().whenComplete(() {
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_refreshing = false;
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_inFlight = null;
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notifyListeners();
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});
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return _inFlight!;
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}
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Future<void> _doRefresh() async {
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try {
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await _loadActive();
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await _loadMode();
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final res = await _client
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.get(Uri.parse('$baseUrl/api/v1/app/update'))
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.timeout(const Duration(seconds: 30));
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// 服务器 Content-Type 无 charset，http 包默认按 latin1 解码会乱码 → 显式 utf8
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final body =
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jsonDecode(utf8.decode(res.bodyBytes)) as Map<String, dynamic>;
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final data = body['data'] as Map<String, dynamic>? ?? const {};
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final list = data['models'] as List? ?? const [];
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_catalog = list
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.map((e) => ModelCatalogItem.fromJson(e as Map<String, dynamic>))
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.toList();
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// 只拉目录不下载；扫描本地已下载（meta+文件齐备）供清单展示
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final downloaded = <ModelKey>{};
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for (final item in _catalog) {
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if (await _isLocal(item)) {
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downloaded.add((datasetId: item.datasetId, variant: item.variant));
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}
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}
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_downloaded
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..clear()
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..addAll(downloaded);
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await _prune(_catalog);
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// 服务器已下线的 (数据集, 档位) 移出激活集
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final catalogKeys = _catalog
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.map((c) => (datasetId: c.datasetId, variant: c.variant))
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.toSet();
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final pruned = _active.where((k) => !catalogKeys.contains(k)).toList();
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if (pruned.isNotEmpty) {
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for (final k in pruned) {
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_active.remove(k);
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}
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await _saveActive();
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}
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_models = await _loadBundles(_catalog);
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_ready = true;
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_error = null;
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// 自动更新：已下载/已激活模型发现新版本后台重下（不阻塞目录刷新）
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unawaited(autoUpdate());
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} catch (e) {
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if (!_ready) _error = '模型目录拉取失败:$e';
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// 已就绪过则保留旧目录/旧模型，不覆盖 error（下载级错误优先展示）
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}
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}
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/// 本地是否已有匹配版本的文件（meta 版本+sha256 相符且文件存在）
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Future<bool> _isLocal(ModelCatalogItem item) async {
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final dir = await _modelDir(item.datasetId, item.variant);
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try {
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final meta = await _readMeta(dir);
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final file = File('${dir.path}/model.tflite');
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return meta != null &&
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meta['version'] == item.version &&
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meta['sha256'] == item.sha256 &&
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await file.exists();
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} catch (e) {
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return false;
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}
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}
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/// 按需下载并激活：流式下载 + sha256 校验 + 落盘（labels/meta）；
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/// 成功自动加入激活集（下载完成即使用；非当前档位则备好待切档）。
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/// 失败重试一次并记录错误。
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Future<bool> downloadModel(ModelCatalogItem item,
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{void Function(int received, int total)? onProgress}) async {
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final key = (datasetId: item.datasetId, variant: item.variant);
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// 并发保护：同一 (数据集, 档位) 已有进行中的下载则直接短路
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if (_progress.containsKey(key)) return false;
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_cancelRequested.remove(key);
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_progress[key] = 0;
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final dir = await _modelDir(item.datasetId, item.variant);
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final file = File('${dir.path}/model.tflite');
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try {
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for (var attempt = 0; attempt < 2; attempt++) {
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if (_cancelRequested.contains(key)) break;
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final ok = await _downloadAndVerify(item, dir, file,
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onProgress: (r, t) {
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_progress[key] = t == 0 ? 0 : r / t;
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onProgress?.call(r, t);
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notifyListeners();
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});
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if (ok) {
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_progress.remove(key);
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_errors.remove(key);
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_downloaded.add(key);
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if (item.variant == _mode) {
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// 字节替换生效（当前档位模型更新需重建 worker 读新文件）
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_revision++;
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}
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_models = await _loadBundles(_catalog);
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notifyListeners();
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await setActive(item.datasetId, item.variant, true);
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return true;
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}
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if (_cancelRequested.contains(key)) break;
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await file.delete().catchError((_) => file);
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await File('${dir.path}/model.tflite.part')
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.delete()
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.catchError((_) => file);
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}
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if (_cancelRequested.contains(key)) {
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// 用户取消：清理残留，不记错误
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await file.delete().catchError((_) => file);
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await File('${dir.path}/model.tflite.part')
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.delete()
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.catchError((_) => file);
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_progress.remove(key);
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notifyListeners();
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debugPrint('[ModelManager] 下载已取消: ${item.datasetName}');
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return false;
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}
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_progress.remove(key);
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_errors[key] = '下载失败，请重试';
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notifyListeners();
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debugPrint('[ModelManager] 下载失败: ${item.datasetName} ${item.version}');
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return false;
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} catch (e) {
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if (_cancelRequested.contains(key)) {
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await file.delete().catchError((_) => file);
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await File('${dir.path}/model.tflite.part')
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.delete()
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.catchError((_) => file);
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_progress.remove(key);
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notifyListeners();
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debugPrint('[ModelManager] 下载已取消: ${item.datasetName}');
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return false;
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}
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_progress.remove(key);
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_errors[key] = '下载异常:$e';
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notifyListeners();
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debugPrint('[ModelManager] 下载异常 ${item.datasetName}: $e');
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return false;
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}
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}
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Future<bool> _downloadAndVerify(
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ModelCatalogItem item, Directory dir, File file,
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{void Function(int received, int total)? onProgress}) async {
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final part = File('${file.path}.part');
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final sink = part.openWrite();
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var received = 0;
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try {
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// 下载无总时长上限（大模型慢网可能数分钟）；连接/响应头与数据流
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// 分别做 30s 停滞判定，避免断流黑洞永久卡死
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final res = await _client
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.send(http.Request('GET', Uri.parse('$baseUrl${item.downloadUrl}')))
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.timeout(const Duration(seconds: 30));
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if (res.statusCode != 200) {
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await sink.close();
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return false;
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}
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final total = res.contentLength ?? item.sizeBytes;
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await for (final chunk
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in res.stream.timeout(const Duration(seconds: 30))) {
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if (_cancelRequested.contains(
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(datasetId: item.datasetId, variant: item.variant))) {
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break; // 用户取消
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}
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sink.add(chunk);
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received += chunk.length;
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onProgress?.call(received, total);
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}
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if (_cancelRequested.contains(
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(datasetId: item.datasetId, variant: item.variant))) {
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await sink.close();
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return false;
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}
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await sink.close();
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final bytes = await part.readAsBytes();
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final hex = sha256.convert(bytes).toString();
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if (item.sha256.isNotEmpty && hex != item.sha256) {
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debugPrint('[ModelManager] sha256 不匹配: ${item.datasetName} '
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'want=${item.sha256} got=$hex');
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return false;
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}
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await part.rename(file.path);
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await dir.create(recursive: true);
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await File('${dir.path}/labels.json')
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.writeAsString(jsonEncode(item.labels));
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await File('${dir.path}/meta.json').writeAsString(jsonEncode({
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'version': item.version,
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'sha256': item.sha256,
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}));
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debugPrint('[ModelManager] 已下载 ${item.datasetName}(${item.variant}) '
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'${bytes.length}B -> ${file.path}');
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return true;
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} catch (e) {
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await sink.close().catchError((_) {});
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debugPrint('[ModelManager] 下载异常 ${item.datasetName}: $e');
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return false;
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}
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}
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/// 清理本地目录：数据集整体下线（s/n 两档都无目录条目）删整目录；
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/// 数据集仍在但某档已下线时清该档子目录（s 档为同级文件，无独立目录，
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/// 残留文件不再被引用，仅占用磁盘，不做细粒度清除）。
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Future<void> _prune(List<ModelCatalogItem> catalog) async {
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final root = await _rootDir();
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if (!await root.exists()) return;
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final dsIds = catalog.map((c) => c.datasetId).toSet();
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final nDsIds = catalog
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.where((c) => c.variant == kVariantN)
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.map((c) => c.datasetId)
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.toSet();
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await for (final e in root.list()) {
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if (e is! Directory) continue;
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// 目录 URI 末尾带 '/'，pathSegments 末位为空串 → 过滤后取目录名
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final name = e.uri.pathSegments.where((s) => s.isNotEmpty).last;
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final dsId = int.tryParse(name);
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if (dsId == null) continue;
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if (!dsIds.contains(dsId)) {
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await e.delete(recursive: true).catchError((_) => e);
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continue;
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}
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if (!nDsIds.contains(dsId)) {
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final sub = Directory('${e.path}/$kVariantN');
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if (await sub.exists()) {
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await sub.delete(recursive: true).catchError((_) => e);
|
||
}
|
||
}
|
||
}
|
||
}
|
||
|
||
/// 设置激活状态（true=使用，false=取消）；持久化到 `root/active.json`。
|
||
/// 激活跨档位保留（切档后仍生效）；仅影响当前档位加载时才需重建推理 worker。
|
||
/// 未下载的模型不可激活（下载完成由 downloadModel 自动激活）。
|
||
Future<void> setActive(int datasetId, String variant, bool active) async {
|
||
final key = (datasetId: datasetId, variant: variant);
|
||
final changed = active ? _active.add(key) : _active.remove(key);
|
||
if (!changed) return;
|
||
if (variant == _mode) {
|
||
_revision++;
|
||
_models = await _loadBundles(_catalog);
|
||
}
|
||
await _saveActive();
|
||
notifyListeners();
|
||
}
|
||
|
||
/// 自动更新：已下载/已激活的模型，目录出现新版本时自动重下（保持原激活状态；
|
||
/// 未下载的模型不自动拉取，避免无谓流量）。下载进度经 downloadModel 通知。
|
||
/// 2026-09-01 用户需求：发布新模型后 App 端自动更新，无需手动触发。
|
||
Future<void> autoUpdate() async {
|
||
if (_catalog.isEmpty) return;
|
||
final tracked = {..._downloaded, ..._active};
|
||
for (final item in _catalog) {
|
||
final key = (datasetId: item.datasetId, variant: item.variant);
|
||
if (!tracked.contains(key)) continue;
|
||
final wasActive = _active.contains(key);
|
||
try {
|
||
// 后台 fire-and-forget：本地检查/下载都可能撞上存储变动（如清理），
|
||
// 不得向外抛未处理异步异常
|
||
if (await _isLocal(item)) continue;
|
||
final ok = await downloadModel(item);
|
||
// 原本未激活：下载完成自动激活后恢复原状态
|
||
if (ok && !wasActive) {
|
||
await setActive(item.datasetId, item.variant, false);
|
||
}
|
||
} catch (e) {
|
||
debugPrint('[ModelManager] 自动更新失败: ${item.datasetName} $e');
|
||
}
|
||
}
|
||
}
|
||
|
||
Future<void> _saveActive() async {
|
||
try {
|
||
final root = await _rootDir();
|
||
await root.create(recursive: true);
|
||
await File('${root.path}/active.json').writeAsString(jsonEncode({
|
||
'active': [
|
||
for (final k in _active) {'d': k.datasetId, 'v': k.variant}
|
||
]
|
||
}));
|
||
} catch (e) {
|
||
debugPrint('[ModelManager] 激活集持久化失败: $e');
|
||
}
|
||
}
|
||
|
||
/// 读取激活集。兼容旧版纯 int 列表（双档位前只有 s 档，int 一律归为 s）。
|
||
Future<void> _loadActive() async {
|
||
if (_activeLoaded) return;
|
||
_activeLoaded = true;
|
||
try {
|
||
final root = await _rootDir();
|
||
final f = File('${root.path}/active.json');
|
||
if (!await f.exists()) return;
|
||
final data = jsonDecode(await f.readAsString()) as Map<String, dynamic>;
|
||
for (final e in data['active'] as List? ?? const []) {
|
||
if (e is num) {
|
||
_active.add((datasetId: e.toInt(), variant: kVariantS));
|
||
} else if (e is Map) {
|
||
final v = e['v'] as String? ?? kVariantS;
|
||
final d = (e['d'] as num?)?.toInt();
|
||
if (d != null && v != kVariantS && v != kVariantN) continue;
|
||
if (d != null) _active.add((datasetId: d, variant: v));
|
||
}
|
||
}
|
||
} catch (e) {
|
||
debugPrint('[ModelManager] 激活集读取失败: $e');
|
||
}
|
||
}
|
||
|
||
Future<void> _saveMode() async {
|
||
try {
|
||
final root = await _rootDir();
|
||
await root.create(recursive: true);
|
||
await File('${root.path}/mode.json')
|
||
.writeAsString(jsonEncode({'mode': _mode}));
|
||
} catch (e) {
|
||
debugPrint('[ModelManager] 识别档位持久化失败: $e');
|
||
}
|
||
}
|
||
|
||
Future<void> _loadMode() async {
|
||
if (_modeLoaded) return;
|
||
_modeLoaded = true;
|
||
try {
|
||
final root = await _rootDir();
|
||
final f = File('${root.path}/mode.json');
|
||
if (!await f.exists()) return;
|
||
final data = jsonDecode(await f.readAsString()) as Map<String, dynamic>;
|
||
final m = data['mode'] as String? ?? kVariantS;
|
||
if (m == kVariantS || m == kVariantN) _mode = m;
|
||
} catch (e) {
|
||
debugPrint('[ModelManager] 识别档位读取失败: $e');
|
||
}
|
||
}
|
||
|
||
Future<List<ModelBundle>> _loadBundles(
|
||
List<ModelCatalogItem> catalog) async {
|
||
final bundles = <ModelBundle>[];
|
||
for (final item in catalog) {
|
||
if (item.variant != _mode) continue;
|
||
final key = (datasetId: item.datasetId, variant: item.variant);
|
||
if (!_active.contains(key)) continue;
|
||
try {
|
||
final dir = await _modelDir(item.datasetId, item.variant);
|
||
final file = File('${dir.path}/model.tflite');
|
||
if (!await file.exists()) continue;
|
||
final labels = await File('${dir.path}/labels.json').exists()
|
||
? (jsonDecode(
|
||
await File('${dir.path}/labels.json').readAsString())
|
||
as List)
|
||
.map((e) => e.toString())
|
||
.toList()
|
||
: item.labels;
|
||
bundles.add(ModelBundle(
|
||
datasetId: item.datasetId,
|
||
datasetName: item.datasetName,
|
||
variant: item.variant,
|
||
version: item.version,
|
||
labels: labels,
|
||
bytes: await file.readAsBytes(),
|
||
));
|
||
} catch (e) {
|
||
debugPrint('[ModelManager] 读取 ${item.datasetName} 失败: $e');
|
||
}
|
||
}
|
||
return bundles;
|
||
}
|
||
|
||
Future<Map<String, dynamic>?> _readMeta(Directory dir) async {
|
||
final f = File('${dir.path}/meta.json');
|
||
if (!await f.exists()) return null;
|
||
try {
|
||
return jsonDecode(await f.readAsString()) as Map<String, dynamic>;
|
||
} catch (_) {
|
||
return null;
|
||
}
|
||
}
|
||
|
||
Future<Directory> _rootDir() async {
|
||
if (_rootDirOverride != null) return _rootDirOverride();
|
||
final support = await getApplicationSupportDirectory();
|
||
return Directory('${support.path}/models');
|
||
}
|
||
|
||
/// 档位目录：s 档存 `models/<datasetId>/`（legacy 无子目录，目录键 = 档位
|
||
/// 标识符的 s 形态，存量设备零迁移）；n 档存 `models/<datasetId>/n/`。
|
||
Future<Directory> _modelDir(int datasetId, String variant) async {
|
||
final root = await _rootDir();
|
||
final sub = variant == kVariantS ? '' : '/$variant';
|
||
final dir = Directory('${root.path}/$datasetId$sub');
|
||
await dir.create(recursive: true);
|
||
return dir;
|
||
}
|
||
}
|