Agent-System-Backend/internal/squadadapter/orchestrate_native_test.go

package squadadapter

import (
	"context"
	"fmt"
	osexec "os/exec"
	"strings"
	"testing"

	nativetools "agent-native/runtime/tools"

	agentllm "agent-native/runtime/llm"
	nativeadp "agent-squad/adapters/native"
	"agent-system-backend/internal/skills"
	core "agent-system-core"
)

type orchFakeRc struct {
	subagentFakeRc
	dir string
}

func (f *orchFakeRc) AskHITL(card core.HITLCard) (core.HITLResponse, error) {
	if len(card.Choices) > 0 {
		return core.HITLResponse{ChoiceID: card.Choices[0].ID}, nil
	}
	return core.HITLResponse{ChoiceID: "approve"}, nil
}

// TestOrchestrateRunsOnKernelStub Q3 WP2 行为面：agent-system 退役后，
// Orchestrate 的四阶段骨架经 agent-native 内核（桩 Stream + write_file 落盘
// 交付物 + 种子技能 + Exec 白名单）跑通并产出交付物工件。
func TestOrchestrateRunsOnKernelStub(t *testing.T) {
	skillsRoot := t.TempDir()
	if _, serr := skills.Seed(skillsRoot); serr != nil {
		t.Fatal(serr)
	}
	saved := AgentNativeOptions
	AgentNativeOptions = func(Ctx) (nativeadp.Config, bool) {
		py, _ := osexec.LookPath("python3")
		return nativeadp.Config{DefaultModel: "stub", SkillsRoots: []string{skillsRoot},
			Exec: &nativetools.ExecConfig{Bash: "/bin/bash", Python: py}, Stream: stubStream("# 交付\n\n这是内核桩后端产出的步骤交付物正文，长度超过五十个字符以满足最小质检要求。")}, true
	}
	defer func() { AgentNativeOptions = saved }()
	rc := &orchFakeRc{dir: t.TempDir()}
	dataDir := t.TempDir()
	summary, err := Orchestrate(rc, dataDir, "生成一份示例目标简报")
	t.Logf("summary = %q", summary)
	if err != nil {
		t.Fatalf("err = %v", err)
	}
	if !strings.Contains(summary, "completed") || !strings.Contains(summary, "完成 4") {
		t.Fatalf("summary = %q", summary)
	}
}


func stubStream(text string) agentllm.StreamFunc {
	return func(_ context.Context, _ string, msgs []agentllm.Message, _ []agentllm.ToolDecl, _ agentllm.StreamOptions) <-chan agentllm.Event {
		ch := make(chan agentllm.Event, 8)
		go func() {
			defer close(ch)
			finish := func() {
				ch <- agentllm.Event{Kind: agentllm.KindTextDelta, Text: text}
				ch <- agentllm.Event{Kind: agentllm.KindMessageEnd, Message: agentllm.Message{Role: agentllm.RoleAssistant, Content: text}}
			}
			prompt := ""
			for _, m := range msgs {
				if m.Role == agentllm.RoleTool {
					finish()
					return
				}
				if m.Role == agentllm.RoleUser {
					prompt = m.Content
				}
			}
			i := strings.Index(prompt, "期望产出：[")
			if i < 0 {
				finish()
				return
			}
			j := strings.Index(prompt[i:], "]")
			if j < 0 {
				finish()
				return
			}
			targets := strings.Fields(prompt[i+len("期望产出：[") : i+j])
			var calls []agentllm.ToolCall
			for k, tgt := range targets {
				args := fmt.Sprintf(`{"path":%q,"content":%q}`, tgt, text)
				id := fmt.Sprintf("call_stub_%d", k+1)
				ch <- agentllm.Event{Kind: agentllm.KindToolCallDelta, ToolIndex: k, ToolID: id, ToolName: "write_file", ArgumentsDelta: args}
				calls = append(calls, agentllm.ToolCall{ID: id, Name: "write_file", Arguments: args})
			}
			ch <- agentllm.Event{Kind: agentllm.KindMessageEnd, Message: agentllm.Message{Role: agentllm.RoleAssistant, ToolCalls: calls, StopReason: agentllm.StopToolCalls}}
		}()
		return ch
	}
}