8.2 KiB
8.2 KiB
军团与营地系统优化建议
1. 军团系统优化
1.1 当前实现分析
// LegionManager.cs 中的实现
public class LegionManager
{
public LegionManager.Data data;
private Dictionary<string, List<Mercenary>> _mercenaryMap;
private void _OnInit()
{
_mercenaryMap = new Dictionary<string, List<Mercenary>>();
// 初始化军团数据
}
}
// LegionManager.Data.cs
public partial class LegionManager
{
public class Data
{
public int level;
public int exp;
public List<MemberInfo> members;
// 其他数据...
}
}
1.2 优化建议
- 实现军团数据缓存系统：
public class LegionCacheSystem
{
private Dictionary<string, LegionData> _legionCache = new();
private LRUCache<string, MemberData> _memberCache;
public async UniTask<LegionData> GetLegionData(string legionId)
{
if (_legionCache.TryGetValue(legionId, out var cachedData))
{
return cachedData;
}
var data = await LoadLegionData(legionId);
_legionCache[legionId] = data;
return data;
}
public void UpdateMemberCache(string memberId, MemberData data)
{
_memberCache.Set(memberId, data);
}
}
- 优化军团战斗系统：
public class LegionBattleSystem
{
private Dictionary<string, LegionBattleState> _battleStates = new();
private Queue<LegionBattleRequest> _battleQueue = new();
public async UniTask<LegionBattleResult> ProcessBattle(LegionBattleRequest request)
{
// 战斗请求排队
_battleQueue.Enqueue(request);
// 使用协程处理战斗
return await ProcessBattleQueue();
}
private async UniTask<LegionBattleResult> ProcessBattleQueue()
{
while (_battleQueue.Count > 0)
{
var request = _battleQueue.Dequeue();
var result = await ExecuteBattle(request);
await SyncBattleResult(result);
}
}
}
2. 营地系统优化
2.1 当前问题
- 建筑放置性能
- 资源计算频繁
- 数据同步效率
2.2 优化建议
- 实现网格管理系统：
public class GridManager
{
private CampCell[,] _grid;
private Dictionary<int, Building> _buildings = new();
private SpatialHashGrid _spatialHash;
public bool TryPlaceBuilding(Building building, Vector2Int position)
{
if (!IsValidPlacement(building, position))
return false;
// 使用空间哈希快速检查碰撞
if (_spatialHash.HasCollision(position, building.size))
return false;
PlaceBuilding(building, position);
_spatialHash.UpdateBuilding(building);
return true;
}
private bool IsValidPlacement(Building building, Vector2Int position)
{
// 使用位运算优化格子检查
return (GetCellFlags(position) & building.placementFlags) == 0;
}
}
- 资源系统优化：
public class ResourceSystem
{
private Dictionary<ResourceType, float> _baseProduction = new();
private Dictionary<ResourceType, List<ProductionModifier>> _modifiers = new();
// 缓存计算结果
private Dictionary<ResourceType, ResourceCalculation> _cachedCalculations = new();
private float _lastCalculationTime;
public float GetResourceProduction(ResourceType type)
{
var now = Time.time;
if (now - _lastCalculationTime > updateInterval)
{
UpdateCalculations();
}
return _cachedCalculations[type].totalProduction;
}
private void UpdateCalculations()
{
foreach (var type in _baseProduction.Keys)
{
var calc = new ResourceCalculation();
calc.baseValue = _baseProduction[type];
// 应用修饰符
foreach (var modifier in _modifiers[type])
{
modifier.Apply(ref calc);
}
_cachedCalculations[type] = calc;
}
_lastCalculationTime = Time.time;
}
}
3. 数据同步优化
3.1 增量同步系统：
public class IncrementalSyncSystem
{
private Dictionary<string, object> _lastSyncState = new();
private Queue<SyncOperation> _pendingOperations = new();
public void RecordChange(string key, object newValue)
{
if (!_lastSyncState.ContainsKey(key) || !_lastSyncState[key].Equals(newValue))
{
_pendingOperations.Enqueue(new SyncOperation
{
key = key,
value = newValue,
timestamp = DateTime.UtcNow
});
}
}
public async UniTask SyncWithServer()
{
while (_pendingOperations.Count > 0)
{
var operation = _pendingOperations.Dequeue();
await SendToServer(operation);
_lastSyncState[operation.key] = operation.value;
}
}
}
3.2 批量更新系统：
public class BatchUpdateSystem
{
private List<UpdateOperation> _pendingUpdates = new();
private float _batchTimeWindow = 0.1f; // 100ms
private float _lastBatchTime;
public void QueueUpdate(UpdateOperation operation)
{
_pendingUpdates.Add(operation);
if (Time.time - _lastBatchTime >= _batchTimeWindow)
{
ProcessBatch();
}
}
private void ProcessBatch()
{
// 合并相同类型的更新
var mergedUpdates = MergeUpdates(_pendingUpdates);
// 执行批量更新
foreach (var update in mergedUpdates)
{
ExecuteUpdate(update);
}
_pendingUpdates.Clear();
_lastBatchTime = Time.time;
}
}
4. 性能优化建议
4.1 内存优化
- 对象池化：
public class CampObjectPool
{
private Dictionary<Type, Queue<ICampObject>> _pools = new();
public T Get<T>() where T : ICampObject, new()
{
var type = typeof(T);
if (!_pools.ContainsKey(type))
{
_pools[type] = new Queue<ICampObject>();
}
var pool = _pools[type];
if (pool.Count > 0)
{
return (T)pool.Dequeue();
}
return new T();
}
public void Return(ICampObject obj)
{
var type = obj.GetType();
if (!_pools.ContainsKey(type))
{
_pools[type] = new Queue<ICampObject>();
}
obj.Reset();
_pools[type].Enqueue(obj);
}
}
4.2 计算优化
- 区域效果计算：
public class AreaEffectSystem
{
private Dictionary<Vector2Int, List<AreaEffect>> _effectGrid = new();
private SpatialHashGrid _spatialHash;
public void UpdateAreaEffects()
{
// 使用Job System并行计算效果
var job = new CalculateAreaEffectJob
{
effects = _effectGrid.ToNativeArray(),
results = new NativeArray<float>(totalCells)
};
// 调度Job
var handle = job.Schedule(_effectGrid.Count, 64);
handle.Complete();
// 更新结果
ApplyEffectResults(job.results);
}
}
5. 建议改进方向
5.1 军团系统
-
数据管理
- 实现分层缓存
- 优化数据同步
- 增加数据压缩
-
功能优化
- 军团战配对系统
- 军团任务系统
- 军团商店系统
-
性能优化
- 减少数据同步频率
- 优化军团战战斗计算
- 实现军团数据预加载
5.2 营地系统
-
建筑系统
- 优化建筑放置算法
- 改进网格管理
- 增加建筑互动功能
-
资源系统
- 优化资源计算
- 实现资源预测
- 添加资源事件系统
-
性能优化
- 实现区域效果缓存
- 优化寻路系统
- 改进资源计算方式
6. 注意事项
-
数据一致性
- 确保军团数据同步
- 处理网络延迟问题
- 实现数据冲突解决
-
用户体验
- 优化操作响应速度
- 提供实时反馈
- 减少加载等待时间
-
扩展性
- 保持系统模块化
- 支持新功能快速接入
- 维护良好的版本兼容性