pangolin/client/lib/state/nodes_provider.dart

// nodes_provider.dart — 节点清单 + 当前选择 + 实测延迟
//
// 从 GET /v1/nodes 拉取真实节点(含 host/port);拉取后后台对各节点做 TCP 握手
// 实测 per-client 延迟并回填。未登录 / 失败返回空列表(不再伪造演示节点)。
import 'dart:async';
import 'dart:convert';

import 'package:flutter_riverpod/flutter_riverpod.dart';
import 'package:http/http.dart' as http;
import 'package:shared_preferences/shared_preferences.dart';

import '../models/node.dart';
import '../services/api_config.dart';
import '../services/latency_probe.dart';
import 'auth_provider.dart';

// ── 节点列表 AsyncNotifier ────────────────────────────────────────

class NodesNotifier extends AsyncNotifier<List<Node>> {
  bool _disposed = false;
  DateTime? _lastFetch;

  /// 刷新限流:距上次成功拉取不足此间隔则跳过远端(下拉/按钮/进页多次触发只打一次)。
  static const _minInterval = Duration(seconds: 10);

  @override
  Future<List<Node>> build() async {
    ref.onDispose(() => _disposed = true);
    final auth = ref.watch(authProvider);
    if (!auth.isLoggedIn) return const [];
    final list = await _fetchNodes(auth.accessToken!);
    _lastFetch = DateTime.now();
    unawaited(_measure(list));
    return list;
  }

  /// 刷新节点列表(下拉/按钮/进页调用)。10s 限流;不清空当前列表(后台拉、好了再换),
  /// 避免进页/下拉时列表闪空;失败保留旧数据。
  Future<void> refresh() async {
    final auth = ref.read(authProvider);
    if (!auth.isLoggedIn) {
      state = const AsyncData([]);
      return;
    }
    if (_lastFetch != null && DateTime.now().difference(_lastFetch!) < _minInterval) {
      return; // 限流:10s 内不重复请求远端
    }
    final result = await AsyncValue.guard(() async {
      // ping 是客户端实测(direct TCP / 连接态 urltest 回写),服务端列表不带它(渲染为 0)。
      // 刷新时保留已有 ping,否则会把刚测/回写的延迟清成 0 → 连接页延迟闪成 —。
      final list = _mergePings(await _fetchNodes(auth.accessToken!));
      _lastFetch = DateTime.now();
      unawaited(_measure(list));
      return list;
    });
    if (_disposed) return;
    if (result.hasValue) state = result; // 成功才换;失败保留旧列表
  }

  /// 用当前 state 里各节点已有的 ping 回填新拉到的列表(按 uuid;已有>0 才覆盖占位 0)。
  List<Node> _mergePings(List<Node> fresh) {
    final cur = state.valueOrNull;
    if (cur == null) return fresh;
    final byUuid = {for (final n in cur) n.uuid: n.ping};
    return [
      for (final n in fresh)
        (byUuid[n.uuid] ?? 0) > 0 ? n.copyWith(ping: byUuid[n.uuid]!) : n
    ];
  }

  /// 回写某节点的实测延迟(ms)。连接态由 ConnectionController 用内核 urltest 回填连接节点,
  /// 让「连接页延迟」与「节点列表延迟」同源(都读 node.ping)、显示一致。ms<=0 忽略。
  void setLivePing(String uuid, int ms) {
    if (ms <= 0 || _disposed) return;
    final list = state.valueOrNull;
    if (list == null) return;
    var changed = false;
    final updated = [
      for (final n in list)
        if (n.uuid == uuid && n.ping != ms) (() { changed = true; return n.copyWith(ping: ms); })() else n
    ];
    if (changed) state = AsyncData(updated);
  }

  /// 后台实测各节点延迟,完成后回填(notifier 未销毁才更新)。
  /// 探测失败(返回 0,如连接态全局 TUN 把到节点的 TCP 握手接住)时**保留旧 ping**,
  /// 不把已知延迟覆盖成空——否则连上后节点列表延迟会整列消失。
  Future<void> _measure(List<Node> list) async {
    if (list.isEmpty) return;
    final pings = await probeAll(
      [for (final n in list) (uuid: n.uuid, host: n.host, port: n.port)],
    );
    if (_disposed) return;
    final updated = [
      for (final n in list)
        n.copyWith(ping: (pings[n.uuid] ?? 0) > 0 ? pings[n.uuid]! : n.ping)
    ];
    state = AsyncData(updated);
  }

  static Future<List<Node>> _fetchNodes(String accessToken) async {
    final uri = Uri.parse('$kApiBaseUrl/v1/nodes');
    final resp = await http.get(uri, headers: {
      'Authorization': 'Bearer $accessToken',
    }).timeout(const Duration(seconds: 10));

    if (resp.statusCode != 200) return const [];

    final body = jsonDecode(resp.body) as Map<String, dynamic>;
    final rawList = body['nodes'] as List<dynamic>? ?? [];
    return rawList.map((e) {
      final m = e as Map<String, dynamic>;
      return Node(
        uuid: m['id'] as String? ?? '',
        code: m['region'] as String? ?? '??',
        nameZh: m['name_zh'] as String? ?? '',
        nameEn: m['name_en'] as String? ?? '',
        tier: m['tier'] as String? ?? 'free',
        host: m['host'] as String? ?? '',
        port: (m['port'] as num?)?.toInt() ?? 0,
        status: m['status'] as String? ?? 'up',
        ping: 0, // 由 _measure 实测回填
      );
    }).toList();
  }
}

final nodesProvider =
    AsyncNotifierProvider<NodesNotifier, List<Node>>(NodesNotifier.new);

// ── 当前选中的节点 code；'AUTO' 表示智能选择(默认)─────────────────
//
// 持久化:用户的选择(智能 / 具体节点)跨重启保存,启动时恢复,供自动连接复用上次选择。
const _kSelectedNode = 'selected_node_code';

class SelectedNodeController extends StateNotifier<String> {
  SelectedNodeController() : super(kSmartNodeCode) {
    _load();
  }

  /// 是否已从持久化恢复完(自动连接要等它 true 再读,避免用到未恢复的默认值)。
  bool loaded = false;

  Future<void> _load() async {
    try {
      final p = await SharedPreferences.getInstance();
      if (!mounted) return;
      final v = p.getString(_kSelectedNode);
      if (v != null && v.isNotEmpty) state = v;
    } catch (_) {
      // 测试/无平台:保留默认(智能)。
    }
    loaded = true;
  }

  /// 选择节点(智能传 kSmartNodeCode)并持久化。
  Future<void> select(String code) async {
    state = code;
    try {
      final p = await SharedPreferences.getInstance();
      await p.setString(_kSelectedNode, code);
    } catch (_) {}
  }
}

final selectedNodeCodeProvider =
    StateNotifierProvider<SelectedNodeController, String>((ref) => SelectedNodeController());

/// 是否处于智能选择。
final isSmartSelectProvider = Provider<bool>(
  (ref) => ref.watch(selectedNodeCodeProvider) == kSmartNodeCode,
);

/// 实际生效的节点:列表为空时返回占位;智能选择取实测延迟最小者(未测得排后)。
final effectiveNodeProvider = Provider<Node>((ref) {
  final nodes = ref.watch(nodesProvider).valueOrNull ?? const <Node>[];
  if (nodes.isEmpty) return kPlaceholderNode;

  final code = ref.watch(selectedNodeCodeProvider);
  if (code == kSmartNodeCode) {
    return nodes.reduce((a, b) {
      final pa = a.ping > 0 ? a.ping : 1 << 30;
      final pb = b.ping > 0 ? b.ping : 1 << 30;
      return pa <= pb ? a : b;
    });
  }
  return nodes.firstWhere((n) => n.code == code, orElse: () => nodes.first);
});