.dockerignore

@@ -8,4 +8,3 @@ frontend/dist
 docker-compose.yml
 .env
 .env.example
-.idea

Dockerfile

@@ -16,7 +16,6 @@ WORKDIR /app
 RUN apt-get update && apt-get install -y --no-install-recommends \
     build-essential \
     libpq-dev \
-    git \
     && rm -rf /var/lib/apt/lists/*
 
 # Install uv package manager

README.md

@@ -42,69 +42,6 @@
 | **pretor-pioneer**                                         | **先驱者** | **知识增强**：RAG 检索增强引擎，管理私有知识库的向量化、索引与精准检索。 | 📅 规划中 |
 
 ---
-## 🚀 快速开始 (Quick Start)
+## 快速开始
+本项目正在开发中...
 
-> **当前版本**：`v0.1.0-alpha` (开发预览版)  
-> 本项目目前处于快速迭代阶段，欢迎提交 Issue 或 Pull Request。
-
-### 方式一：使用 Docker Compose (推荐)
-这是部署 **Pretor 应用** 及其配套 **PostgreSQL 数据库** 最简单、最完整的方式。
-
-1. **准备配置文件**：在本地创建一个目录，并新建 `docker-compose.yml`：
-   ```yaml
-   services:
-     db:
-       image: postgres:16-alpine
-       container_name: pretor_db
-       environment:
-         POSTGRES_USER: postgres
-         POSTGRES_PASSWORD: postgrespassword
-         POSTGRES_DB: pretor
-       healthcheck:
-         test: ["CMD-SHELL", "pg_isready -U postgres -d pretor"]
-         interval: 5s
-         timeout: 5s
-         retries: 5
-
-     pretor:
-       image: zhaoxi5699/pretor:v0.1.0alpha
-       container_name: pretor
-       ports:
-         - "8000:8000"
-         - "8265:8265"
-       depends_on:
-         db:
-           condition: service_healthy
-       environment:
-         - POSTGRES_USER=postgres
-         - POSTGRES_PASSWORD=postgrespassword
-         - POSTGRES_HOST=db
-         - POSTGRES_PORT=5432
-         - POSTGRES_DB=pretor
-         - SECRET_KEY=changethiskey12345  # 请在生产环境中修改此密钥
-   ```
-   
-2. **启动服务**
-    ```bash
-   docker compose up -d
-   ```
-   
-### 方式二：使用 Docker
-1. **启动服务**
-    ```bash
-        docker run -d \
-        --name pretor \
-        -p 8000:8000 \
-        -p 8265:8265 \
-        -e POSTGRES_HOST=你的数据库IP \
-        -e POSTGRES_USER=postgres \
-        -e POSTGRES_PASSWORD=postgrespassword \
-        -e POSTGRES_DB=pretor \
-        -e SECRET_KEY=your_secret_key \
-        zhaoxi5699/pretor:v0.1.0alpha
-    ```
-   
-## 🔍 访问与验证
-服务启动后，可以通过以下地址进行操作：
-- Web 控制台 / API 文档: http://localhost:8000
-- Ray 任务仪表盘: http://localhost:8265

docker-compose.yml

@@ -16,9 +16,9 @@ services:
       timeout: 5s
       retries: 5
 
-  pretor:
+  app:
     build: .
-    container_name: pretor
+    container_name: pretor_app
     ports:
       - "8000:8000"
       - "8265:8265"

frontend/src/components/Chat/LeftPanel.tsx

@@ -40,10 +40,9 @@ export function LeftPanel({ activeTab, setActiveTab, selectedWorkflow, setSelect
   const memPercent = totalMemory > 0 ? (usedMemory / totalMemory) * 100 : 0;
 
   useEffect(() => {
-    let intervalId: ReturnType<typeof setInterval>;
+    if (activeTab === 'workflows') {
-
+      const fetchWorkflows = async () => {
-    const fetchWorkflows = async (isInitial = false) => {
+        setLoadingWorkflows(true);
-      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
@@ -60,18 +59,11 @@ export function LeftPanel({ activeTab, setActiveTab, selectedWorkflow, setSelect
           console.error("Failed to fetch workflows", error);
           setWorkflows([]);
         } finally {
-        if (isInitial) setLoadingWorkflows(false);
+          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 Skill Individual 的真实 agent_id，不要用名称！），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 设置为对应的 Skill Individual 名称），作为可调用的工具。\n"
                 for skill in ctx.deps.available_skills:
-                    prompt += f"- 真实 agent_id: {skill.get('agent_id')}\n  名称: {skill['name']}\n  描述: {skill['description']}\n"
+                    prompt += f"- 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 真实 agent_id，不可用名称代替")
+    agent_id: Optional[str] = Field(default=None, description="分配给 skill_individual 的 Skill Individual 名称")
     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

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

tests/core/workflow/workflow_runner_test.py

@@ -60,8 +60,6 @@ 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

@@ -1,5 +1,11 @@
 import pytest
-from pretor.core.workflow.workflow import WorkStep, PretorWorkflow, WorkflowStatus, LogicGate
+from pretor.core.workflow.workflow import WorkerGroup, 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(
@@ -19,27 +25,31 @@ 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")
-    wf = PretorWorkflow(title="wf1", work_link=[ws1, ws2], trace_id="t", event_info={"platform":"a", "user_name":"b"})
+    wg = WorkerGroup(name="g1", primary_individual={"coder": 1}, composite_individual={})
+    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", work_link=[ws1, ws2], trace_id="t", event_info={"platform":"a", "user_name":"b"})
+        PretorWorkflow(title="wf1", workgroup_list=[wg], 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", work_link=[ws1, ws2], trace_id="t", event_info={"platform":"a", "user_name":"b"})
+        PretorWorkflow(title="wf1", workgroup_list=[wg], 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", work_link=[ws1], trace_id="t", event_info={"platform":"a", "user_name":"b"})
+        PretorWorkflow(title="wf1", workgroup_list=[wg], work_link=[ws1], trace_id="t", event_info={"platform":"a", "user_name":"b"})
 
 def test_workflow_status():
     status = WorkflowStatus()