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https://github.com/Ed1s0nZ/CyberStrikeAI.git
synced 2026-08-13 22:50:24 +02:00
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+109
-8
@@ -14,6 +14,7 @@ import (
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"cyberstrike-ai/internal/config"
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"cyberstrike-ai/internal/mcp"
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"cyberstrike-ai/internal/storage"
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"go.uber.org/zap"
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)
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@@ -21,21 +22,55 @@ import (
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type Agent struct {
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openAIClient *http.Client
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config *config.OpenAIConfig
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agentConfig *config.AgentConfig
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mcpServer *mcp.Server
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externalMCPMgr *mcp.ExternalMCPManager // 外部MCP管理器
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logger *zap.Logger
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maxIterations int
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resultStorage ResultStorage // 结果存储
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largeResultThreshold int // 大结果阈值(字节)
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mu sync.RWMutex // 添加互斥锁以支持并发更新
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toolNameMapping map[string]string // 工具名称映射:OpenAI格式 -> 原始格式(用于外部MCP工具)
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}
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// ResultStorage 结果存储接口(直接使用 storage 包的类型)
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type ResultStorage interface {
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SaveResult(executionID string, toolName string, result string) error
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GetResult(executionID string) (string, error)
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GetResultPage(executionID string, page int, limit int) (*storage.ResultPage, error)
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SearchResult(executionID string, keyword string) ([]string, error)
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FilterResult(executionID string, filter string) ([]string, error)
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GetResultMetadata(executionID string) (*storage.ResultMetadata, error)
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DeleteResult(executionID string) error
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}
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// NewAgent 创建新的Agent
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func NewAgent(cfg *config.OpenAIConfig, mcpServer *mcp.Server, externalMCPMgr *mcp.ExternalMCPManager, logger *zap.Logger, maxIterations int) *Agent {
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func NewAgent(cfg *config.OpenAIConfig, agentCfg *config.AgentConfig, mcpServer *mcp.Server, externalMCPMgr *mcp.ExternalMCPManager, logger *zap.Logger, maxIterations int) *Agent {
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// 如果 maxIterations 为 0 或负数,使用默认值 30
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if maxIterations <= 0 {
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maxIterations = 30
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}
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// 设置大结果阈值,默认50KB
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largeResultThreshold := 50 * 1024
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if agentCfg != nil && agentCfg.LargeResultThreshold > 0 {
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largeResultThreshold = agentCfg.LargeResultThreshold
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}
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// 设置结果存储目录,默认tmp
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resultStorageDir := "tmp"
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if agentCfg != nil && agentCfg.ResultStorageDir != "" {
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resultStorageDir = agentCfg.ResultStorageDir
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}
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// 初始化结果存储
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var resultStorage ResultStorage
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if resultStorageDir != "" {
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// 导入storage包(避免循环依赖,使用接口)
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// 这里需要在实际使用时初始化
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// 暂时设为nil,在需要时初始化
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}
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// 配置HTTP Transport,优化连接管理和超时设置
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transport := &http.Transport{
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DialContext: (&net.Dialer{
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@@ -57,15 +92,25 @@ func NewAgent(cfg *config.OpenAIConfig, mcpServer *mcp.Server, externalMCPMgr *m
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Timeout: 30 * time.Minute, // 从5分钟增加到30分钟
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Transport: transport,
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},
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config: cfg,
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mcpServer: mcpServer,
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externalMCPMgr: externalMCPMgr,
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logger: logger,
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maxIterations: maxIterations,
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toolNameMapping: make(map[string]string), // 初始化工具名称映射
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config: cfg,
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agentConfig: agentCfg,
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mcpServer: mcpServer,
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externalMCPMgr: externalMCPMgr,
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logger: logger,
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maxIterations: maxIterations,
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resultStorage: resultStorage,
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largeResultThreshold: largeResultThreshold,
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toolNameMapping: make(map[string]string), // 初始化工具名称映射
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}
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}
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// SetResultStorage 设置结果存储(用于避免循环依赖)
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func (a *Agent) SetResultStorage(storage ResultStorage) {
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a.mu.Lock()
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defer a.mu.Unlock()
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a.resultStorage = storage
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}
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// ChatMessage 聊天消息
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type ChatMessage struct {
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Role string `json:"role"`
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@@ -1037,14 +1082,70 @@ func (a *Agent) executeToolViaMCP(ctx context.Context, toolName string, args map
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resultText.WriteString(content.Text)
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resultText.WriteString("\n")
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}
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resultStr := resultText.String()
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resultSize := len(resultStr)
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// 检测大结果并保存
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a.mu.RLock()
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threshold := a.largeResultThreshold
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storage := a.resultStorage
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a.mu.RUnlock()
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if resultSize > threshold && storage != nil {
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// 异步保存大结果
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go func() {
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if err := storage.SaveResult(executionID, toolName, resultStr); err != nil {
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a.logger.Warn("保存大结果失败",
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zap.String("executionID", executionID),
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zap.String("toolName", toolName),
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zap.Error(err),
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)
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} else {
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a.logger.Info("大结果已保存",
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zap.String("executionID", executionID),
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zap.String("toolName", toolName),
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zap.Int("size", resultSize),
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)
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}
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}()
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// 返回最小化通知
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lines := strings.Split(resultStr, "\n")
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notification := a.formatMinimalNotification(executionID, toolName, resultSize, len(lines))
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return &ToolExecutionResult{
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Result: notification,
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ExecutionID: executionID,
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IsError: result != nil && result.IsError,
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}, nil
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}
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return &ToolExecutionResult{
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Result: resultText.String(),
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Result: resultStr,
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ExecutionID: executionID,
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IsError: result != nil && result.IsError,
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}, nil
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}
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// formatMinimalNotification 格式化最小化通知
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func (a *Agent) formatMinimalNotification(executionID string, toolName string, size int, lineCount int) string {
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var sb strings.Builder
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sb.WriteString(fmt.Sprintf("工具执行完成。结果已保存(ID: %s)。\n\n", executionID))
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sb.WriteString("结果信息:\n")
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sb.WriteString(fmt.Sprintf(" - 工具: %s\n", toolName))
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sb.WriteString(fmt.Sprintf(" - 大小: %d 字节 (%.2f KB)\n", size, float64(size)/1024))
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sb.WriteString(fmt.Sprintf(" - 行数: %d 行\n", lineCount))
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sb.WriteString("\n")
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sb.WriteString("使用以下工具查询完整结果:\n")
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sb.WriteString(fmt.Sprintf(" - 查询第一页: query_execution_result(execution_id=\"%s\", page=1, limit=100)\n", executionID))
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sb.WriteString(fmt.Sprintf(" - 搜索关键词: query_execution_result(execution_id=\"%s\", search=\"关键词\")\n", executionID))
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sb.WriteString(fmt.Sprintf(" - 过滤条件: query_execution_result(execution_id=\"%s\", filter=\"error\")\n", executionID))
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return sb.String()
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}
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// UpdateConfig 更新OpenAI配置
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func (a *Agent) UpdateConfig(cfg *config.OpenAIConfig) {
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a.mu.Lock()
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@@ -0,0 +1,284 @@
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package agent
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import (
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"os"
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"path/filepath"
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"strings"
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"testing"
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"time"
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"cyberstrike-ai/internal/config"
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"cyberstrike-ai/internal/mcp"
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"cyberstrike-ai/internal/storage"
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"go.uber.org/zap"
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)
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// setupTestAgent 创建测试用的Agent
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func setupTestAgent(t *testing.T) (*Agent, *storage.FileResultStorage) {
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logger := zap.NewNop()
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mcpServer := mcp.NewServer(logger)
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openAICfg := &config.OpenAIConfig{
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APIKey: "test-key",
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BaseURL: "https://api.test.com/v1",
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Model: "test-model",
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}
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agentCfg := &config.AgentConfig{
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MaxIterations: 10,
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LargeResultThreshold: 100, // 设置较小的阈值便于测试
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ResultStorageDir: "",
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}
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agent := NewAgent(openAICfg, agentCfg, mcpServer, nil, logger, 10)
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// 创建测试存储
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tmpDir := filepath.Join(os.TempDir(), "test_agent_storage_"+time.Now().Format("20060102_150405"))
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testStorage, err := storage.NewFileResultStorage(tmpDir, logger)
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if err != nil {
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t.Fatalf("创建测试存储失败: %v", err)
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}
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agent.SetResultStorage(testStorage)
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return agent, testStorage
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}
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func TestAgent_FormatMinimalNotification(t *testing.T) {
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agent, testStorage := setupTestAgent(t)
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_ = testStorage // 避免未使用变量警告
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executionID := "test_exec_001"
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toolName := "nmap_scan"
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size := 50000
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lineCount := 1000
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notification := agent.formatMinimalNotification(executionID, toolName, size, lineCount)
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// 验证通知包含必要信息
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if !strings.Contains(notification, executionID) {
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t.Errorf("通知中应该包含执行ID: %s", executionID)
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}
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if !strings.Contains(notification, toolName) {
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t.Errorf("通知中应该包含工具名称: %s", toolName)
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}
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if !strings.Contains(notification, "50000") {
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t.Errorf("通知中应该包含大小信息")
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}
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if !strings.Contains(notification, "1000") {
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t.Errorf("通知中应该包含行数信息")
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}
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if !strings.Contains(notification, "query_execution_result") {
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t.Errorf("通知中应该包含查询工具的使用说明")
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}
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}
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func TestAgent_ExecuteToolViaMCP_LargeResult(t *testing.T) {
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agent, _ := setupTestAgent(t)
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// 创建模拟的MCP工具结果(大结果)
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largeResult := &mcp.ToolResult{
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Content: []mcp.Content{
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{
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Type: "text",
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Text: strings.Repeat("This is a test line with some content.\n", 1000), // 约50KB
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},
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},
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IsError: false,
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}
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// 模拟MCP服务器返回大结果
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// 由于我们需要模拟CallTool的行为,这里需要创建一个mock或者使用实际的MCP服务器
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// 为了简化测试,我们直接测试结果处理逻辑
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// 设置阈值
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agent.mu.Lock()
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agent.largeResultThreshold = 1000 // 设置较小的阈值
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agent.mu.Unlock()
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// 创建执行ID
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executionID := "test_exec_large_001"
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toolName := "test_tool"
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// 格式化结果
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var resultText strings.Builder
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for _, content := range largeResult.Content {
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resultText.WriteString(content.Text)
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resultText.WriteString("\n")
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}
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resultStr := resultText.String()
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resultSize := len(resultStr)
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// 检测大结果并保存
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agent.mu.RLock()
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threshold := agent.largeResultThreshold
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storage := agent.resultStorage
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agent.mu.RUnlock()
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if resultSize > threshold && storage != nil {
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// 保存大结果
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err := storage.SaveResult(executionID, toolName, resultStr)
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if err != nil {
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t.Fatalf("保存大结果失败: %v", err)
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}
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// 生成通知
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lines := strings.Split(resultStr, "\n")
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notification := agent.formatMinimalNotification(executionID, toolName, resultSize, len(lines))
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// 验证通知格式
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if !strings.Contains(notification, executionID) {
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t.Errorf("通知中应该包含执行ID")
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}
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// 验证结果已保存
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savedResult, err := storage.GetResult(executionID)
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if err != nil {
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t.Fatalf("获取保存的结果失败: %v", err)
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}
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if savedResult != resultStr {
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t.Errorf("保存的结果与原始结果不匹配")
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}
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} else {
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t.Fatal("大结果应该被检测到并保存")
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}
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}
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func TestAgent_ExecuteToolViaMCP_SmallResult(t *testing.T) {
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agent, _ := setupTestAgent(t)
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// 创建小结果
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smallResult := &mcp.ToolResult{
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Content: []mcp.Content{
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{
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Type: "text",
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Text: "Small result content",
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},
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},
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IsError: false,
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}
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// 设置较大的阈值
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agent.mu.Lock()
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agent.largeResultThreshold = 100000 // 100KB
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agent.mu.Unlock()
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// 格式化结果
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var resultText strings.Builder
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for _, content := range smallResult.Content {
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resultText.WriteString(content.Text)
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resultText.WriteString("\n")
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}
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resultStr := resultText.String()
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resultSize := len(resultStr)
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// 检测大结果
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agent.mu.RLock()
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threshold := agent.largeResultThreshold
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storage := agent.resultStorage
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agent.mu.RUnlock()
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if resultSize > threshold && storage != nil {
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t.Fatal("小结果不应该被保存")
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}
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// 小结果应该直接返回
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if resultSize <= threshold {
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// 这是预期的行为
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if resultStr == "" {
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t.Fatal("小结果应该直接返回,不应该为空")
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}
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}
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}
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func TestAgent_SetResultStorage(t *testing.T) {
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agent, _ := setupTestAgent(t)
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// 创建新的存储
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tmpDir := filepath.Join(os.TempDir(), "test_new_storage_"+time.Now().Format("20060102_150405"))
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newStorage, err := storage.NewFileResultStorage(tmpDir, zap.NewNop())
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if err != nil {
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t.Fatalf("创建新存储失败: %v", err)
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}
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// 设置新存储
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agent.SetResultStorage(newStorage)
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// 验证存储已更新
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agent.mu.RLock()
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currentStorage := agent.resultStorage
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agent.mu.RUnlock()
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if currentStorage != newStorage {
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t.Fatal("存储未正确更新")
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}
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// 清理
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os.RemoveAll(tmpDir)
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}
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func TestAgent_NewAgent_DefaultValues(t *testing.T) {
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logger := zap.NewNop()
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mcpServer := mcp.NewServer(logger)
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openAICfg := &config.OpenAIConfig{
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APIKey: "test-key",
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BaseURL: "https://api.test.com/v1",
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Model: "test-model",
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}
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// 测试默认配置
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agent := NewAgent(openAICfg, nil, mcpServer, nil, logger, 0)
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if agent.maxIterations != 30 {
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t.Errorf("默认迭代次数不匹配。期望: 30, 实际: %d", agent.maxIterations)
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}
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agent.mu.RLock()
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threshold := agent.largeResultThreshold
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agent.mu.RUnlock()
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if threshold != 50*1024 {
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t.Errorf("默认阈值不匹配。期望: %d, 实际: %d", 50*1024, threshold)
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}
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}
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func TestAgent_NewAgent_CustomConfig(t *testing.T) {
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logger := zap.NewNop()
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mcpServer := mcp.NewServer(logger)
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openAICfg := &config.OpenAIConfig{
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APIKey: "test-key",
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BaseURL: "https://api.test.com/v1",
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Model: "test-model",
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}
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agentCfg := &config.AgentConfig{
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MaxIterations: 20,
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LargeResultThreshold: 100 * 1024, // 100KB
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ResultStorageDir: "custom_tmp",
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}
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agent := NewAgent(openAICfg, agentCfg, mcpServer, nil, logger, 15)
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if agent.maxIterations != 15 {
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t.Errorf("迭代次数不匹配。期望: 15, 实际: %d", agent.maxIterations)
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}
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agent.mu.RLock()
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threshold := agent.largeResultThreshold
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agent.mu.RUnlock()
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if threshold != 100*1024 {
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t.Errorf("阈值不匹配。期望: %d, 实际: %d", 100*1024, threshold)
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}
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}
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