Compress 实现 CompressionStrategy 接口
( ctx context.Context, messages []Message, config WindowManagerConfig, )
| 116 | |
| 117 | // Compress 实现 CompressionStrategy 接口 |
| 118 | func (s *PriorityBasedStrategy) Compress( |
| 119 | ctx context.Context, |
| 120 | messages []Message, |
| 121 | config WindowManagerConfig, |
| 122 | ) ([]Message, error) { |
| 123 | if len(messages) <= s.targetSize { |
| 124 | return messages, nil |
| 125 | } |
| 126 | |
| 127 | // 计算所有消息的优先级 |
| 128 | withPriority := CalculateMessagePriorities(ctx, messages, s.priorityCalculator) |
| 129 | |
| 130 | // 保留的消息索引 |
| 131 | keepIndices := make(map[int]bool) |
| 132 | |
| 133 | // 1. 始终保留 system 消息 |
| 134 | if config.AlwaysKeepSystem { |
| 135 | for i, msg := range messages { |
| 136 | if msg.Role == "system" { |
| 137 | keepIndices[i] = true |
| 138 | } |
| 139 | } |
| 140 | } |
| 141 | |
| 142 | // 2. 始终保留最近的 N 条消息 |
| 143 | recentCount := min(config.AlwaysKeepRecent, len(messages)) |
| 144 | for i := len(messages) - recentCount; i < len(messages); i++ { |
| 145 | keepIndices[i] = true |
| 146 | } |
| 147 | |
| 148 | // 3. 按优先级排序,选择最高优先级的消息 |
| 149 | SortMessagesByPriority(withPriority, true) // 降序排序 |
| 150 | |
| 151 | remainingSlots := s.targetSize - len(keepIndices) |
| 152 | for _, msgWithPri := range withPriority { |
| 153 | if remainingSlots <= 0 { |
| 154 | break |
| 155 | } |
| 156 | |
| 157 | // 找到该消息的原始索引 |
| 158 | for i, msg := range messages { |
| 159 | if msg.Role == msgWithPri.Message.Role && msg.Content == msgWithPri.Message.Content { |
| 160 | if !keepIndices[i] { |
| 161 | keepIndices[i] = true |
| 162 | remainingSlots-- |
| 163 | break |
| 164 | } |
| 165 | } |
| 166 | } |
| 167 | } |
| 168 | |
| 169 | // 构建结果(保持原始顺序) |
| 170 | result := []Message{} |
| 171 | for i, msg := range messages { |
| 172 | if keepIndices[i] { |
| 173 | result = append(result, msg) |
| 174 | } |
| 175 | } |