feat: 更新后端平台模块、数据库、Compute引擎及多项配置文档

- 更新 backend 平台 API、platform_store、session 数据库模块
- 新增 backend SQL 初始化脚本
- 更新 compute 引擎适配器及 README
- 更新 Docker 部署配置（app/compute）
- 更新前端入口、环境类型声明及 README
- 新增 docs/menu-functional-requirements.md 菜单功能需求文档
- 更新多项项目文档

Co-Authored-By: Claude <noreply@anthropic.com>

compute/README.md

@@ -14,7 +14,7 @@ compute/
   tests/
 ```
 
-## 第一版职责
+## 开发职责
 
 - GPU 发现、状态上报、锁定和释放。
 - 本地磁盘工作区管理。
@@ -22,3 +22,8 @@ compute/
 - LLaMA-Factory 命令生成、日志解析、产物收集。
 - 分片上传、短时下载、离线导入。
 - 通过服务间 token 接受应用平台调用。
+
+## 运行模式
+
+- 默认 `COMPUTE_EXECUTION_MODE=real`，Compute API 只暴露健康检查和接口契约；真实训练执行器完成前，创建作业会返回未实现错误。
+- 仅隔离联调时可设置 `COMPUTE_EXECUTION_MODE=simulator`，启用内存状态机和合成 GPU/日志数据。该模式不得作为生产运行路径。

compute/api/main.py

@@ -22,7 +22,12 @@ def create_app() -> FastAPI:
     def host_id() -> str:
         return os.getenv("COMPUTE_HOST_ID", "gpu-node-01")
 
+    def execution_mode() -> str:
+        return os.getenv("COMPUTE_EXECUTION_MODE", os.getenv("COMPUTE_MODE", "real")).lower()
+
     def job_status(job: dict[str, Any]) -> dict[str, Any]:
+        if execution_mode() != "simulator":
+            return job
         elapsed = max(0, int(now() - job["created_at"]))
         if job["status"] not in {"stopped", "failed", "completed"}:
             if elapsed < 5:
@@ -41,7 +46,7 @@ def create_app() -> FastAPI:
         progress = int(job.get("progress", 0) or 0)
         points = max(1, min(80, progress))
         lines = [
-            f"[INFO] compute_host_id={host_id()} job_id={job['id']} engine=llama_factory mode=simulator",
+            f"[INFO] compute_host_id={host_id()} job_id={job['id']} engine=llama_factory",
             f"[INFO] command={' '.join(job['command'])}",
         ]
         for step in range(1, points + 1):
@@ -70,6 +75,8 @@ def create_app() -> FastAPI:
         return "\n".join(lines)
 
     def gpu_resources() -> list[dict[str, Any]]:
+        if execution_mode() != "simulator":
+            return []
         active_jobs = [job_status(job) for job in jobs.values() if job["status"] in {"queued", "running"}]
         gpus: list[dict[str, Any]] = []
         for idx in range(4):
@@ -121,6 +128,7 @@ def create_app() -> FastAPI:
             "data_root_exists": data_root.exists(),
             "llama_factory_home": str(llama_factory_home),
             "llama_factory_home_exists": llama_factory_home.exists(),
+            "execution_mode": execution_mode(),
         }
 
     @app.get(f"{route_prefix}/v1/compute/jobs")
@@ -137,6 +145,11 @@ def create_app() -> FastAPI:
             command = build_command(payload, os.getenv("LLAMA_FACTORY_HOME", "/app/LLaMA-Factory"))
         except ValueError as exc:
             raise HTTPException(status_code=400, detail=str(exc))
+        if execution_mode() != "simulator":
+            raise HTTPException(
+                status_code=501,
+                detail="real compute executor is not implemented yet; set COMPUTE_EXECUTION_MODE=simulator only for isolated development",
+            )
         job_id = str(payload.get("id") or f"job_{int(now() * 1000)}")
         job = {
             "id": job_id,

compute/engines/llama_factory/adapter.py

@@ -35,7 +35,7 @@ def build_command(config: dict[str, Any], llama_factory_home: str = "/app/LLaMA-
 
     model_path = config.get("base_model") or config.get("model_name_or_path")
     dataset = config.get("dataset") or config.get("dataset_dir")
-    output_dir = config.get("output_dir") or f"/data/yg-ft/outputs/{config.get('name', 'sample-job')}"
+    output_dir = config.get("output_dir") or f"/data/yg-ft/outputs/{config.get('name', 'training-job')}"
     command = [
         "llamafactory-cli",
         "train",