Files
httprunner/uixt/mcp_tools_ai.go
lilong.129 5f400735fc fix: 修复 StartToGoal 命令无法通过 CTRL+C 中断的问题
- 为 AI 相关方法添加 context.Context 参数支持中断

- 在重试循环中添加上下文取消检查

- 创建可取消的上下文并监听中断信号

- 更新 MCP 工具调用使用带上下文的方法

现在用户可以通过 CTRL+C 正常中断长时间运行的 AI 自动化任务
2025-06-05 20:00:20 +08:00

174 lines
5.4 KiB
Go

package uixt
import (
"context"
"fmt"
"github.com/httprunner/httprunner/v5/uixt/option"
"github.com/mark3labs/mcp-go/mcp"
"github.com/mark3labs/mcp-go/server"
"github.com/rs/zerolog/log"
)
// ToolStartToGoal implements the start_to_goal tool call.
type ToolStartToGoal struct{}
func (t *ToolStartToGoal) Name() option.ActionName {
return option.ACTION_StartToGoal
}
func (t *ToolStartToGoal) Description() string {
return "Start AI-driven automation to achieve a specific goal using natural language description"
}
func (t *ToolStartToGoal) Options() []mcp.ToolOption {
unifiedReq := &option.ActionOptions{}
return unifiedReq.GetMCPOptions(option.ACTION_StartToGoal)
}
func (t *ToolStartToGoal) Implement() server.ToolHandlerFunc {
return func(ctx context.Context, request mcp.CallToolRequest) (*mcp.CallToolResult, error) {
driverExt, err := setupXTDriver(ctx, request.Params.Arguments)
if err != nil {
return nil, fmt.Errorf("setup driver failed: %w", err)
}
unifiedReq, err := parseActionOptions(request.Params.Arguments)
if err != nil {
return nil, err
}
// Start to goal logic
log.Info().Str("prompt", unifiedReq.Prompt).Msg("starting to goal")
err = driverExt.StartToGoal(ctx, unifiedReq.Prompt)
if err != nil {
return mcp.NewToolResultError(fmt.Sprintf("Failed to achieve goal: %s", err.Error())), nil
}
return mcp.NewToolResultText(fmt.Sprintf("Successfully achieved goal: %s", unifiedReq.Prompt)), nil
}
}
func (t *ToolStartToGoal) ConvertActionToCallToolRequest(action option.MobileAction) (mcp.CallToolRequest, error) {
if prompt, ok := action.Params.(string); ok {
arguments := map[string]any{
"prompt": prompt,
}
// Extract options to arguments
extractActionOptionsToArguments(action.GetOptions(), arguments)
return buildMCPCallToolRequest(t.Name(), arguments), nil
}
return mcp.CallToolRequest{}, fmt.Errorf("invalid start to goal params: %v", action.Params)
}
func (t *ToolStartToGoal) ReturnSchema() map[string]string {
return map[string]string{
"message": "string: Success message confirming goal was achieved, or error message if failed",
}
}
// ToolAIAction implements the ai_action tool call.
type ToolAIAction struct{}
func (t *ToolAIAction) Name() option.ActionName {
return option.ACTION_AIAction
}
func (t *ToolAIAction) Description() string {
return "Perform AI-driven automation actions using natural language prompts to describe the desired operation"
}
func (t *ToolAIAction) Options() []mcp.ToolOption {
unifiedReq := &option.ActionOptions{}
return unifiedReq.GetMCPOptions(option.ACTION_AIAction)
}
func (t *ToolAIAction) Implement() server.ToolHandlerFunc {
return func(ctx context.Context, request mcp.CallToolRequest) (*mcp.CallToolResult, error) {
driverExt, err := setupXTDriver(ctx, request.Params.Arguments)
if err != nil {
return nil, fmt.Errorf("setup driver failed: %w", err)
}
unifiedReq, err := parseActionOptions(request.Params.Arguments)
if err != nil {
return nil, err
}
// AI action logic
log.Info().Str("prompt", unifiedReq.Prompt).Msg("performing AI action")
err = driverExt.AIAction(ctx, unifiedReq.Prompt)
if err != nil {
return mcp.NewToolResultError(fmt.Sprintf("AI action failed: %s", err.Error())), nil
}
return mcp.NewToolResultText(fmt.Sprintf("Successfully performed AI action with prompt: %s", unifiedReq.Prompt)), nil
}
}
func (t *ToolAIAction) ConvertActionToCallToolRequest(action option.MobileAction) (mcp.CallToolRequest, error) {
if prompt, ok := action.Params.(string); ok {
arguments := map[string]any{
"prompt": prompt,
}
// Extract options to arguments
extractActionOptionsToArguments(action.GetOptions(), arguments)
return buildMCPCallToolRequest(t.Name(), arguments), nil
}
return mcp.CallToolRequest{}, fmt.Errorf("invalid AI action params: %v", action.Params)
}
func (t *ToolAIAction) ReturnSchema() map[string]string {
return map[string]string{
"message": "string: Success message confirming AI action was performed, or error message if failed",
}
}
// ToolFinished implements the finished tool call.
type ToolFinished struct{}
func (t *ToolFinished) Name() option.ActionName {
return option.ACTION_Finished
}
func (t *ToolFinished) Description() string {
return "Mark the current automation task as completed with a result message"
}
func (t *ToolFinished) Options() []mcp.ToolOption {
unifiedReq := &option.ActionOptions{}
return unifiedReq.GetMCPOptions(option.ACTION_Finished)
}
func (t *ToolFinished) Implement() server.ToolHandlerFunc {
return func(ctx context.Context, request mcp.CallToolRequest) (*mcp.CallToolResult, error) {
unifiedReq, err := parseActionOptions(request.Params.Arguments)
if err != nil {
return nil, err
}
log.Info().Str("reason", unifiedReq.Content).Msg("task finished")
return mcp.NewToolResultText(fmt.Sprintf("Task completed: %s", unifiedReq.Content)), nil
}
}
func (t *ToolFinished) ConvertActionToCallToolRequest(action option.MobileAction) (mcp.CallToolRequest, error) {
if reason, ok := action.Params.(string); ok {
arguments := map[string]any{
"content": reason,
}
return buildMCPCallToolRequest(t.Name(), arguments), nil
}
return mcp.CallToolRequest{}, fmt.Errorf("invalid finished params: %v", action.Params)
}
func (t *ToolFinished) ReturnSchema() map[string]string {
return map[string]string{
"message": "string: Success message confirming task completion, or error message if failed",
}
}