Fix workflow scheduling for Skill Individuals and LeftPanel polling (#57)

- Update `workflow_runner.py` to retrieve `Skill Individual` items with their real `agent_id` rather than names, preventing assignment mismatches when routing via `WorkerCluster`.
- Update `ConsciousnessNode` prompts to strictly instruct the LLM to output real `agent_id`s in `agent_id` workflow fields.
- Update `WorkStep` schemas to reflect the requirement of `agent_id`.
- Add a 2-second polling interval in the frontend `LeftPanel.tsx` to automatically update the workflow list state rather than fetching only once upon tab selection.

Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com>

frontend/src/components/Chat/LeftPanel.tsx

@@ -40,9 +40,10 @@ export function LeftPanel({ activeTab, setActiveTab, selectedWorkflow, setSelect
   const memPercent = totalMemory > 0 ? (usedMemory / totalMemory) * 100 : 0;
 
   useEffect(() => {
-    if (activeTab === 'workflows') {
+    let intervalId: ReturnType<typeof setInterval>;
-      const fetchWorkflows = async () => {
+
-        setLoadingWorkflows(true);
+    const fetchWorkflows = async (isInitial = false) => {
+      if (isInitial) setLoadingWorkflows(true);
       try {
         const response = await apiClient.get('/api/v1/workflow/list');
         // Fallback parsing just in case it returns an object or array
@@ -59,11 +60,18 @@ export function LeftPanel({ activeTab, setActiveTab, selectedWorkflow, setSelect
         console.error("Failed to fetch workflows", error);
         setWorkflows([]);
       } finally {
-          setLoadingWorkflows(false);
+        if (isInitial) setLoadingWorkflows(false);
       }
     };
-      fetchWorkflows();
+
+    if (activeTab === 'workflows') {
+      fetchWorkflows(true);
+      intervalId = setInterval(() => fetchWorkflows(false), 2000);
     }
+
+    return () => {
+      if (intervalId) clearInterval(intervalId);
+    };
   }, [activeTab]);
 
   return (

pretor/core/individual/consciousness_node/consciousness_node.py

@@ -80,9 +80,9 @@ class ConsciousnessNode:
                 prompt += f"- 选定工作流模板 (Workflow Template): {ctx.deps.workflow_template}\n"
             if ctx.deps.available_skills:
                 prompt += "\n=== 当前可用 Skill Individual ===\n"
-                prompt += "你可以直接将以下 Skill Individual 安排进工作流的步骤中（设置 node 为 skill_individual，并将 agent_id 设置为对应的 Skill Individual 名称），作为可调用的工具。\n"
+                prompt += "你可以直接将以下 Skill Individual 安排进工作流的步骤中（设置 node 为 skill_individual，并将 agent_id 设置为对应 Skill Individual 的真实 agent_id，不要用名称！），作为可调用的工具。\n"
                 for skill in ctx.deps.available_skills:
-                    prompt += f"- 名称: {skill['name']}\n  描述: {skill['description']}\n"
+                    prompt += f"- 真实 agent_id: {skill.get('agent_id')}\n  名称: {skill['name']}\n  描述: {skill['description']}\n"
 
             return prompt
 

pretor/core/workflow/workflow.py

@@ -37,7 +37,7 @@ class WorkStep(BaseModel):
     desc: str = Field(..., description="动作细节的自然语言描述，包含人工规范指导")
     inputs: Optional[Union[str, List[str]]] = Field(default=None, description="前置依赖输出")
     outputs: Optional[str] = Field(default=None, description="当前步骤产出物变量名")
-    agent_id: Optional[str] = Field(default=None, description="分配给 skill_individual 的 Skill Individual 名称")
+    agent_id: Optional[str] = Field(default=None, description="分配给 skill_individual 的 Skill Individual 真实 agent_id，不可用名称代替")
     logic_gate: Optional[LogicGate] = Field(default=None, description="逻辑跳转控制")
     status: Literal["waiting", "running", "completed", "failed"] = Field(
         default="waiting",

pretor/core/workflow/workflow_runner.py

@@ -316,13 +316,17 @@ class WorkflowRunningEngine:
                 available_skills = None
                 if self.global_state_machine:
                     try:
-                        raw_skills = await self.global_state_machine.get_skill_list.remote()
+                        all_individuals = await self.global_state_machine.list_individuals.remote()
-                        available_skills = [
+                        available_skills = []
-                            {"name": name, "description": details[0], "instructions": details[1]}
+                        for agent_id, config in all_individuals.items():
-                            for name, details in raw_skills.items()
+                            if config.get("agent_type") == "skill_individual" or config.get("type") == "skill_individual":
-                        ]
+                                available_skills.append({
+                                    "agent_id": agent_id,
+                                    "name": config.get("agent_name", "Unknown"),
+                                    "description": config.get("description", "")
+                                })
                     except Exception as e:
-                        self.logger.warning(f"获取技能列表失败: {e}")
+                        self.logger.warning(f"获取Skill Individual列表失败: {e}")
 
                 payload = ForWorkflowEngineInput(
                     original_command=event.message,

tests/core/workflow/workflow_runner_test.py

@@ -60,6 +60,8 @@ async def test_workflow_engine_run():
     step1.step = 1
     step1.status = "waiting"
     step1.node = "control_node"
+    step1.name = "mock_name"
+    step1.desc = "mock_desc"
     step1.action = "mock_action"
     step1.inputs = []
     step1.outputs = "res"

tests/core/workflow/workflow_test.py

@@ -1,11 +1,5 @@
 import pytest
-from pretor.core.workflow.workflow import WorkerGroup, WorkStep, PretorWorkflow, WorkflowStatus, LogicGate
+from pretor.core.workflow.workflow import WorkStep, PretorWorkflow, WorkflowStatus, LogicGate
-
-def test_worker_group():
-    wg = WorkerGroup(name="group1", primary_individual={"coder": 1}, composite_individual={"tester": 1})
-    assert wg.name == "group1"
-    assert wg.primary_individual == {"coder": 1}
-    assert wg.composite_individual == {"tester": 1}
 
 def test_work_step():
     ws = WorkStep(
@@ -25,31 +19,27 @@ def test_work_step():
 def test_pretor_workflow_validation_success():
     ws1 = WorkStep(step=1, name="s1", node="control_node", action="a1", desc="d1")
     ws2 = WorkStep(step=2, name="s2", node="supervisory_node", action="a2", desc="d2")
-    wg = WorkerGroup(name="g1", primary_individual={"coder": 1}, composite_individual={})
+    wf = PretorWorkflow(title="wf1", work_link=[ws1, ws2], trace_id="t", event_info={"platform":"a", "user_name":"b"})
-    wf = PretorWorkflow(title="wf1", workgroup_list=[wg], work_link=[ws1, ws2], trace_id="t", event_info={"platform":"a", "user_name":"b"})
     assert wf.title == "wf1"
 
 def test_pretor_workflow_validation_error_step_discontinuous():
     ws1 = WorkStep(step=1, name="s1", node="control_node", action="a1", desc="d1")
     ws2 = WorkStep(step=3, name="s3", node="supervisory_node", action="a2", desc="d2")
-    wg = WorkerGroup(name="g1", primary_individual={}, composite_individual={})
     with pytest.raises(ValueError, match="工作链步数不连续"):
-        PretorWorkflow(title="wf1", workgroup_list=[wg], work_link=[ws1, ws2], trace_id="t", event_info={"platform":"a", "user_name":"b"})
+        PretorWorkflow(title="wf1", work_link=[ws1, ws2], trace_id="t", event_info={"platform":"a", "user_name":"b"})
 
 def test_pretor_workflow_validation_error_jump_out_of_bounds():
     lg = LogicGate(if_fail="jump_to_step_3", if_pass="continue")
     ws1 = WorkStep(step=1, name="s1", node="control_node", action="a1", desc="d1", logic_gate=lg)
     ws2 = WorkStep(step=2, name="s2", node="supervisory_node", action="a2", desc="d2")
-    wg = WorkerGroup(name="g1", primary_individual={}, composite_individual={})
     with pytest.raises(ValueError, match="跳转目标 Step 3 越界了"):
-        PretorWorkflow(title="wf1", workgroup_list=[wg], work_link=[ws1, ws2], trace_id="t", event_info={"platform":"a", "user_name":"b"})
+        PretorWorkflow(title="wf1", work_link=[ws1, ws2], trace_id="t", event_info={"platform":"a", "user_name":"b"})
 
 def test_pretor_workflow_validation_error_jump_format_error():
     lg = LogicGate(if_fail="jump_to_step_invalid", if_pass="continue")
     ws1 = WorkStep(step=1, name="s1", node="control_node", action="a1", desc="d1", logic_gate=lg)
-    wg = WorkerGroup(name="g1", primary_individual={}, composite_individual={})
     with pytest.raises(ValueError, match="LogicGate 格式错误"):
-        PretorWorkflow(title="wf1", workgroup_list=[wg], work_link=[ws1], trace_id="t", event_info={"platform":"a", "user_name":"b"})
+        PretorWorkflow(title="wf1", work_link=[ws1], trace_id="t", event_info={"platform":"a", "user_name":"b"})
 
 def test_workflow_status():
     status = WorkflowStatus()