第一次提交

backend/.env.example

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+APP_NAME=YG Fine-Tune Platform API
+APP_ENV=local
+API_PREFIX=/api
+LOG_LEVEL=INFO
+LOG_DIR=./logs
+LOG_FILE_PREFIX=backend
+LOG_ERROR_FILE_PREFIX=error
+LOG_MAX_BYTES=20971520
+LOG_RETENTION_DAYS=10

backend/README.md

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+# Backend Service
+
+后端工程使用 FastAPI，定位为模型微调平台的应用平台服务，负责用户中心、多租户、权限隔离、项目、数据集、模型、训练任务、审批、审计和算力平台编排。
+
+## 目录结构
+
+```text
+backend/
+  app/
+    main.py                  # FastAPI 应用入口
+    api/v1/                  # 对前端暴露的 接口路由
+    core/                    # 配置、日志、中间件、权限等基础能力
+    db/                      # 数据库连接、迁移集成、事务工具
+    modules/                 # 业务模块
+      auth/
+      tenant/
+      project/
+      model/
+      dataset/
+      data_process/
+      fine_tune/
+      eval/
+      inference/
+      approval/
+      audit/
+      compute_gateway/
+      file_gateway/
+      engine_registry/
+      retention/
+      system/
+    schemas/                 # Pydantic 入参/出参模型
+    services/                # 跨模块应用服务
+    workers/                 # 后台任务入口
+  requirements.txt           # 后端第三方依赖
+  logs/                      # 本地开发日志目录，生产环境建议挂载到独立日志盘
+```
+
+## 企业治理接口说明
+
+用户中心、租户、项目、审批、资源授权等能力已通过对应模块 `router.py` 在 `/modelTF` 下统一暴露。其中：
+
+- 审计接口挂在 `system` 模块：`GET /modelTF/system/audit-logs`、`/modelTF/system/audit-logs/export`。
+- 留存策略为租户资源的嵌套接口：`PUT /modelTF/tenants/{id}/retention-policy`，未独立成 `/modelTF/retention-policies` 路由。
+- 重置密码：`POST /modelTF/users/{id}/reset-password`（保护账号不可重置，空密码回退默认 `platform123`）。
+- 资源授权：`GET/PUT /modelTF/resources/{type}/{id}/acl`。
+- 服务看板聚合：`GET /modelTF/dashboard/stats`。
+
+## 本地启动
+
+```bash
+cd backend
+python -m venv .venv
+.venv\Scripts\activate
+pip install -r requirements.txt
+uvicorn app.main:app --reload
+```
+
+健康检查：
+
+```text
+GET /modelTF/health
+```
+
+## 日志
+
+日志模块位于 `app/core/logging.py`，使用说明见 `../docs/backend-logging.md`。
+
+默认日志文件：
+
+```text
+logs/backend-YYYY-MM-DD.log
+logs/error-YYYY-MM-DD.log
+```
+
+文件日志为 JSON Lines 格式，单个文件不超过 20MB，只保存最近 10 天，错误日志按 `ERROR` 级别独立拆分，便于 ELK/日志平台采集。

backend/app/__init__.py

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+"""Application package."""

backend/app/api/__init__.py

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+"""API package."""

backend/app/api/v1/__init__.py

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+"""Versioned API package."""

backend/app/api/v1/endpoints/__init__.py

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+"""API endpoint modules."""

backend/app/api/v1/endpoints/health.py

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+from fastapi import APIRouter
+
+from app.core.logging import get_logger
+from app.db.platform_store import get_platform_store
+
+router = APIRouter()
+logger = get_logger(__name__)
+
+
+@router.get("/health")
+async def health_check() -> dict[str, object]:
+    logger.info("health check requested")
+    return {"code": 0, "message": "ok", "data": get_platform_store().health_metrics()}
+

backend/app/api/v1/endpoints/platform.py

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+from __future__ import annotations
+
+from datetime import datetime, timedelta, timezone
+from typing import Any
+import uuid
+
+from fastapi import APIRouter, Body, File, HTTPException, Query, UploadFile
+from fastapi.responses import PlainTextResponse, StreamingResponse
+
+from app.db.platform_store import get_platform_store
+from app.modules.fine_tune.service import apply_presets
+from fastapi import Request as FastAPIRequest
+
+router = APIRouter()
+
+
+def _actor(request: FastAPIRequest) -> str | None:
+    auth = request.headers.get("Authorization", "")
+    token = auth.replace("Bearer ", "").strip()
+    return token or None
+
+
+def ok(data: Any = None, message: str = "ok") -> dict[str, Any]:
+    return {"code": 0, "message": message, "data": data}
+
+
+def fail(status_code: int, message: str) -> HTTPException:
+    return HTTPException(status_code=status_code, detail={"code": status_code, "message": message, "data": None})
+
+
+@router.get("/dashboard/overview")
+async def dashboard_overview() -> dict[str, Any]:
+    store = get_platform_store()
+    tasks = store.tasks()
+    return ok(
+        {
+            "models": len(store.models()),
+            "datasets": len(store.datasets()),
+            "fine_tune_tasks": len(tasks),
+            "running_tasks": len([t for t in tasks if t["status"] in {"syncing", "queued", "running"}]),
+            "compute_nodes": len(store.compute_nodes()),
+            "gpus": len(store.gpus()),
+        }
+    )
+
+
+@router.get("/dashboard/stats")
+async def dashboard_stats() -> dict[str, Any]:
+    """看板聚合数据：基于平台真实数据；缺项做合理近似（见下）。"""
+    store = get_platform_store()
+    tasks = store.tasks()
+    users = store.users()
+    nodes = store.compute_nodes()
+    datasets = store.datasets()
+
+    running_statuses = {"syncing", "queued", "running"}
+    running_ft = [t for t in tasks if t.get("status") in running_statuses]
+    failed_ft = [t for t in tasks if t.get("status") == "failed"]
+    online_nodes = [n for n in nodes if n.get("scheduler_status") == "online"]
+
+    # 近 7 天训练统计（按创建日期分桶；准确率为 None，因任务无该字段）
+    now = datetime.now(timezone.utc)
+    train_by_day: dict[str, int] = {}
+    for t in tasks:
+        ct = t.get("create_time")
+        if ct:
+            train_by_day[ct[:10]] = train_by_day.get(ct[:10], 0) + 1
+    training_7d = []
+    for i in range(6, -1, -1):
+        day = (now - timedelta(days=i)).strftime("%Y-%m-%d")
+        training_7d.append(
+            {
+                "date": day[5:],
+                "train": train_by_day.get(day, 0),
+                "gpu": sum(len(t.get("gpus") or []) for t in running_ft),
+                "accuracy": None,
+            }
+        )
+
+    # 服务状态：模型推理用在线计算节点近似；模型评测暂无独立数据源，置 0
+    service_status = [
+        {
+            "type": "模型推理",
+            "status": "error" if (nodes and not online_nodes) else ("busy" if (nodes and len(online_nodes) < len(nodes)) else "normal"),
+            "count": len(online_nodes),
+        },
+        {
+            "type": "模型微调",
+            "status": "error" if failed_ft else ("busy" if running_ft else "normal"),
+            "count": len(running_ft),
+        },
+        {"type": "模型评测", "status": "normal", "count": 0},
+        {
+            "type": "数据处理",
+            "status": "normal" if not failed_ft else "busy",
+            "count": len(datasets),
+        },
+    ]
+
+    # 训练任务状态归一化（fine_tune 的 syncing/queued 等映射到前端已知状态）
+    status_map = {
+        "syncing": "running",
+        "queued": "running",
+        "running": "running",
+        "pending": "pending",
+        "paused": "pending",
+        "completed": "completed",
+        "failed": "failed",
+        "error": "failed",
+        "cancelled": "failed",
+    }
+    op_labels = [
+        ("模型训练", lambda a: "fine_tune" in a or "train" in a),
+        ("数据处理", lambda a: "data" in a or "dataset" in a),
+        ("模型评测", lambda a: "eval" in a),
+        ("模型推理", lambda a: "infer" in a or "serving" in a or "deploy" in a),
+        ("系统设置", lambda a: True),
+    ]
+
+    def _op_label(action: str) -> str:
+        for label, fn in op_labels:
+            if fn(action):
+                return label
+        return "系统设置"
+
+    training_tasks = [
+        {
+            "id": t.get("id"),
+            "name": t.get("name"),
+            "status": status_map.get(t.get("status"), "pending"),
+            "train_type": t.get("train_type"),
+            "train_method": t.get("train_method"),
+            "base_model": t.get("base_model"),
+            "progress": t.get("progress", 0),
+            "accuracy": t.get("accuracy"),
+            "started_at": (t.get("create_time") or "")[:16],
+        }
+        for t in tasks[:8]
+    ]
+
+    # 用户操作分布（按 audit action 归类为中文分类）
+    audit = store.audit_logs(limit=500)
+    op_counter: dict[str, int] = {}
+    for log in audit.get("items", []):
+        act = log.get("action") or "unknown"
+        op_counter[_op_label(act)] = op_counter.get(_op_label(act), 0) + 1
+    operation_distribution = [{"name": k, "value": v} for k, v in op_counter.items()]
+
+    # 最近登录用户：后端有 last_login 字段，返回真实数据
+    recent = sorted(
+        [u for u in users if u.get("last_login")],
+        key=lambda u: u["last_login"],
+        reverse=True,
+    )[:5]
+    recent_login_users = [
+        {
+            "user": u.get("display_name") or u.get("username"),
+            "role": u.get("role"),
+            "last_login": (u.get("last_login") or "")[:16],
+        }
+        for u in recent
+    ]
+    # 登录时长：后端暂无该数据源，先留空，待接入后补充
+    login_duration_rank: list = []
+
+    return ok(
+        {
+            "online_services": sum(s["count"] for s in service_status),
+            "running_tasks": len(running_ft),
+            "pending_alerts": 0,  # 平台暂无独立告警数据源，先置 0，待接入后补充
+            "training_7d": training_7d,
+            "service_status": service_status,
+            "training_tasks": training_tasks,
+            "operation_distribution": operation_distribution,
+            "login_duration_rank": login_duration_rank,
+            "recent_login_users": recent_login_users,
+        }
+    )
+
+
+@router.get("/system-info")
+async def system_info() -> dict[str, Any]:
+    return ok(get_platform_store().system_info())
+
+
+@router.get("/users")
+async def users() -> dict[str, Any]:
+    return ok(get_platform_store().users())
+
+
+@router.post("/users")
+async def create_user(payload: dict[str, Any] = Body(...), request: FastAPIRequest = None) -> dict[str, Any]:
+    store = get_platform_store()
+    user = store.create_user(payload)
+    store.record_audit(
+        action="user.create",
+        actor_id=_actor(request),
+        target_type="user",
+        target_id=user["id"],
+        detail=f"username={user.get('username')}",
+    )
+    return ok(user)
+
+
+@router.put("/users/{user_id}")
+async def update_user(user_id: str, payload: dict[str, Any] = Body(...), request: FastAPIRequest = None) -> dict[str, Any]:
+    store = get_platform_store()
+    try:
+        user = store.update_user(user_id, payload)
+    except KeyError:
+        raise fail(404, "user not found")
+    store.record_audit(
+        action="user.update",
+        actor_id=_actor(request),
+        target_type="user",
+        target_id=user_id,
+        detail=f"fields={','.join(payload.keys())}",
+    )
+    return ok(user)
+
+
+@router.delete("/users/{user_id}")
+async def delete_user(user_id: str, current_username: str | None = Query(default=None)) -> dict[str, Any]:
+    try:
+        get_platform_store().delete_user(user_id)
+        return ok({"deleted": user_id, "current_username": current_username})
+    except KeyError:
+        raise fail(404, "user not found")
+    except ValueError as exc:
+        raise fail(400, str(exc))
+
+
+@router.post("/users/{user_id}/reset-password")
+async def reset_password(
+    user_id: str,
+    payload: dict[str, Any] = Body(default={}),
+    request: FastAPIRequest = None,
+) -> dict[str, Any]:
+    try:
+        user = get_platform_store().reset_password(user_id, payload.get("password") or "")
+    except KeyError:
+        raise fail(404, "user not found")
+    except ValueError as exc:
+        raise fail(400, str(exc))
+    get_platform_store().record_audit(
+        action="user.reset_password",
+        actor_id=_actor(request),
+        target_type="user",
+        target_id=user_id,
+        detail=f"username={user.get('username')}",
+    )
+    return ok({"id": user_id})
+
+
+@router.get("/model-manage/local-models")
+async def local_models() -> dict[str, Any]:
+    models = [{"path": item.get("path") or "", "name": item["name"]} for item in get_platform_store().models()]
+    return ok({"models": models})
+
+
+@router.get("/model-manage/trained-models")
+async def trained_models() -> dict[str, Any]:
+    return ok({"models": get_platform_store().trained_models()})
+
+
+@router.delete("/model-manage/trained-models/{model_id}")
+async def delete_trained_model(model_id: str, type: str = Query(default="merged")) -> dict[str, Any]:
+    return ok({"deleted": model_id, "type": type})
+
+
+@router.get("/model-manage/name/{name}")
+async def model_by_name(name: str) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().model_by_name(name))
+    except KeyError:
+        raise fail(404, "model not found")
+
+
+@router.get("/model-manage")
+async def model_list() -> dict[str, Any]:
+    return ok(get_platform_store().models())
+
+
+@router.post("/model-manage")
+async def create_model(payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
+    return ok(get_platform_store().create_model(payload))
+
+
+@router.get("/model-manage/{model_id}")
+async def model_detail(model_id: str) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().model(model_id))
+    except KeyError:
+        raise fail(404, "model not found")
+
+
+@router.put("/model-manage/{model_id}")
+async def update_model(model_id: str, payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().update_model(model_id, payload))
+    except KeyError:
+        raise fail(404, "model not found")
+
+
+@router.put("/model-manage/{model_id}/purpose")
+async def update_model_purpose(model_id: str, payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().update_model(model_id, {"purpose": payload.get("purpose", "training")}))
+    except KeyError:
+        raise fail(404, "model not found")
+
+
+@router.delete("/model-manage/{model_id}")
+async def delete_model(model_id: str) -> dict[str, Any]:
+    get_platform_store().delete_model(model_id)
+    return ok({"deleted": model_id})
+
+
+@router.post("/model-manage/merge")
+async def merge_model(payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
+    return ok({"job_id": f"merge_{uuid.uuid4().hex[:12]}", "status": "queued", **payload})
+
+
+@router.get("/dataset-manage/preview/{file_id}")
+async def dataset_preview(file_id: str) -> dict[str, Any]:
+    try:
+        row = get_platform_store().dataset_file(file_id)
+        return ok({"content": row["content"]})
+    except KeyError:
+        raise fail(404, "dataset file not found")
+
+
+@router.get("/dataset-manage/versions/{file_id}")
+async def dataset_versions(file_id: str) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().file_versions(file_id))
+    except KeyError:
+        raise fail(404, "dataset file not found")
+
+
+@router.get("/dataset-manage/versions/{file_id}/{version_id}")
+async def dataset_version_content(file_id: str, version_id: str) -> dict[str, Any]:
+    try:
+        row = get_platform_store().dataset_file(file_id)
+        versions = get_platform_store().file_versions(file_id)["versions"]
+        version = next((item for item in versions if item["id"] == version_id), None)
+        if not version:
+            raise KeyError(version_id)
+        return ok({"version": version, "content": row["content"]})
+    except KeyError:
+        raise fail(404, "dataset version not found")
+
+
+@router.post("/dataset-manage/versions/{file_id}")
+async def create_dataset_version(file_id: str, payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().create_file_version(file_id, payload))
+    except KeyError:
+        raise fail(404, "dataset file not found")
+
+
+@router.put("/dataset-manage/versions/{file_id}/active")
+async def activate_dataset_version(file_id: str, payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().activate_file_version(file_id, payload["version_id"]))
+    except KeyError:
+        raise fail(404, "dataset version not found")
+
+
+@router.delete("/dataset-manage/versions/{file_id}/{version_id}")
+async def delete_dataset_version(file_id: str, version_id: str) -> dict[str, Any]:
+    return ok(get_platform_store().file_versions(file_id))
+
+
+@router.post("/dataset-manage/upload/{dataset_id}")
+async def upload_dataset_files(dataset_id: str, files: list[UploadFile] = File(default=[])) -> dict[str, Any]:
+    created: list[dict[str, Any]] = []
+    store = get_platform_store()
+    try:
+        store.dataset(dataset_id)
+    except KeyError:
+        raise fail(404, "dataset not found")
+    with store.connect() as conn:
+        for file in files:
+            raw = await file.read()
+            content = raw.decode("utf-8", errors="replace")
+            created.append(store.add_dataset_file(conn, dataset_id, file.filename or "upload.jsonl", content))
+    return ok({"files": created})
+
+
+@router.get("/dataset-manage/download/{dataset_id}")
+async def download_dataset(dataset_id: str) -> PlainTextResponse:
+    dataset = get_platform_store().dataset(dataset_id)
+    content = "\n".join([f"{file['name']}" for file in dataset.get("files", [])])
+    return PlainTextResponse(content, media_type="text/plain")
+
+
+@router.get("/dataset-manage/download/{dataset_id}/{file_id}")
+async def download_dataset_file(dataset_id: str, file_id: str, version_id: str | None = Query(default=None)) -> PlainTextResponse:
+    row = get_platform_store().dataset_file(file_id)
+    return PlainTextResponse(row["content"], media_type="text/plain")
+
+
+@router.get("/dataset-manage")
+async def dataset_list() -> dict[str, Any]:
+    return ok(get_platform_store().datasets())
+
+
+@router.post("/dataset-manage")
+async def create_dataset(payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
+    dataset = get_platform_store().create_dataset(payload)
+    return ok({"id": dataset["id"]})
+
+
+@router.get("/dataset-manage/{dataset_id}")
+async def dataset_detail(dataset_id: str) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().dataset(dataset_id))
+    except KeyError:
+        raise fail(404, "dataset not found")
+
+
+@router.put("/dataset-manage/{dataset_id}")
+async def update_dataset(dataset_id: str, payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().update_dataset(dataset_id, payload))
+    except KeyError:
+        raise fail(404, "dataset not found")
+
+
+@router.delete("/dataset-manage/{dataset_id}")
+async def delete_dataset(dataset_id: str) -> dict[str, Any]:
+    get_platform_store().delete_dataset(dataset_id)
+    return ok({"deleted": dataset_id})
+
+
+@router.get("/fine-tune/check-name")
+async def check_fine_tune_name(name: str = Query(...)) -> dict[str, Any]:
+    exists = any(task["name"] == name for task in get_platform_store().tasks())
+    return ok({"exists": exists})
+
+
+@router.get("/fine-tune/progress/{task_id}")
+async def fine_tune_progress(task_id: str) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().progress(task_id))
+    except KeyError:
+        raise fail(404, "fine tune task not found")
+
+
+@router.post("/fine-tune/tensorboard/start")
+async def tensorboard_start() -> dict[str, Any]:
+    return ok({"status": "running", "url": "http://localhost:6006"})
+
+
+@router.get("/fine-tune")
+async def fine_tune_list() -> dict[str, Any]:
+    return ok(get_platform_store().tasks())
+
+
+@router.post("/fine-tune")
+async def create_fine_tune(payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
+    try:
+        task = get_platform_store().create_task(apply_presets(payload))
+        return ok({"id": task["id"]})
+    except ValueError as exc:
+        raise fail(400, str(exc))
+
+
+@router.post("/fine-tune/start")
+async def start_fine_tune(payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().start_task(payload))
+    except KeyError:
+        raise fail(404, "fine tune task not found")
+    except RuntimeError as exc:
+        raise fail(409, str(exc))
+
+
+@router.get("/fine-tune/{task_id}")
+async def fine_tune_detail(task_id: str) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().task(task_id))
+    except KeyError:
+        raise fail(404, "fine tune task not found")
+
+
+@router.put("/fine-tune/{task_id}")
+async def update_fine_tune(task_id: str, payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().update_task(task_id, payload))
+    except KeyError:
+        raise fail(404, "fine tune task not found")
+
+
+@router.post("/fine-tune/stop/{task_id}")
+async def stop_fine_tune(task_id: str) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().stop_task(task_id))
+    except KeyError:
+        raise fail(404, "fine tune task not found")
+
+
+@router.post("/fine-tune/{task_id}/stop")
+async def stop_fine_tune_alt(task_id: str) -> dict[str, Any]:
+    return await stop_fine_tune(task_id)
+
+
+@router.post("/fine-tune/pause/{task_id}")
+async def pause_fine_tune(task_id: str) -> dict[str, Any]:
+    if not get_platform_store().pause_task(task_id):
+        raise fail(409, "当前没有可暂停的训练进程")
+    return ok({"paused": task_id})
+
+
+@router.post("/fine-tune/resume/{task_id}")
+async def resume_fine_tune(task_id: str) -> dict[str, Any]:
+    if not get_platform_store().resume_task_engine(task_id):
+        raise fail(409, "当前没有可恢复的训练进程")
+    return ok({"resumed": task_id})
+
+
+@router.post("/fine-tune/cancel/{task_id}")
+async def cancel_fine_tune(task_id: str) -> dict[str, Any]:
+    get_platform_store().cancel_task_engine(task_id)
+    return ok({"canceled": task_id})
+
+
+@router.delete("/fine-tune/{task_id}")
+async def delete_fine_tune(task_id: str) -> dict[str, Any]:
+    get_platform_store().delete_task(task_id)
+    return ok({"deleted": task_id})
+
+
+@router.get("/fine-tune/{task_id}/overview")
+async def fine_tune_overview(task_id: str) -> dict[str, Any]:
+    task = get_platform_store().task(task_id)
+    return ok({"task": task, "progress": get_platform_store().progress(task_id)})
+
+
+@router.get("/fine-tune/{task_id}/checkpoints")
+async def fine_tune_checkpoints(task_id: str) -> dict[str, Any]:
+    task = get_platform_store().task(task_id)
+    checkpoints = []
+    for step in [50, 100, 150]:
+        if task.get("progress", 0) >= min(100, step // 2):
+            checkpoints.append({"step": step, "path": f"/data/yg-ft/outputs/{task['name']}/checkpoint-{step}"})
+    return ok(checkpoints)
+
+
+@router.get("/compute/nodes")
+async def compute_nodes() -> dict[str, Any]:
+    return ok(get_platform_store().compute_nodes())
+
+
+@router.post("/compute/nodes")
+async def create_compute_node(payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().create_compute_node(payload))
+    except KeyError as exc:
+        raise fail(400, f"missing field: {exc}")
+
+
+@router.put("/compute/nodes/{node_id}")
+async def update_compute_node(node_id: str, payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().update_compute_node(node_id, payload))
+    except KeyError:
+        raise fail(404, "compute node not found")
+
+
+@router.post("/compute/nodes/{node_id}/test-connection")
+async def test_compute_node(node_id: str) -> dict[str, Any]:
+    return ok({"node_id": node_id, "success": True, "latency_ms": 12})
+
+
+@router.post("/compute/nodes/{node_id}/enable")
+async def enable_compute_node(node_id: str) -> dict[str, Any]:
+    return ok(get_platform_store().update_compute_node(node_id, {"enabled": True, "scheduler_status": "online"}))
+
+
+@router.post("/compute/nodes/{node_id}/disable")
+async def disable_compute_node(node_id: str) -> dict[str, Any]:
+    return ok(get_platform_store().update_compute_node(node_id, {"enabled": False, "scheduler_status": "offline"}))
+
+
+@router.post("/compute/nodes/{node_id}/drain")
+async def drain_compute_node(node_id: str) -> dict[str, Any]:
+    return ok(get_platform_store().update_compute_node(node_id, {"scheduler_status": "draining"}))
+
+
+@router.get("/compute/nodes/{node_id}/replicas")
+async def compute_node_replicas(node_id: str) -> dict[str, Any]:
+    return ok(get_platform_store().replicas(node_id))
+
+
+@router.get("/compute/gpus")
+async def compute_gpus() -> dict[str, Any]:
+    return ok(get_platform_store().gpus())
+
+
+@router.get("/compute/queue")
+async def compute_queue() -> dict[str, Any]:
+    return ok(get_platform_store().queue())
+
+
+@router.post("/internal/compute-sync/resources")
+async def create_compute_sync(payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
+    sync_id = get_platform_store().create_sync_job(payload.get("target_node_id", "node_01"), payload)
+    return ok(get_platform_store().sync_job(sync_id))
+
+
+@router.get("/internal/compute-sync/resources/{sync_id}")
+async def compute_sync_detail(sync_id: str) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().sync_job(sync_id))
+    except KeyError:
+        raise fail(404, "sync job not found")
+
+
+@router.get("/training-log-files")
+async def training_log_files() -> dict[str, Any]:
+    return ok(get_platform_store().training_log_files())
+
+
+@router.get("/training-log-content")
+async def training_log_content(file: str = Query(...)) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().training_log_content(file))
+    except KeyError:
+        raise fail(404, "training log not found")
+
+
+@router.get("/log-files")
+async def log_files(date: str | None = Query(default=None)) -> dict[str, Any]:
+    return ok(get_platform_store().log_files(date))
+
+
+@router.get("/log-content")
+async def log_content(file: str = Query(...)) -> dict[str, Any]:
+    return ok(get_platform_store().log_content(file))
+
+
+@router.post("/web-log")
+async def web_log(payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
+    return ok({"received": True, **payload})
+
+
+# ===================== Project Management (§13.2) =====================
+
+
+@router.get("/projects")
+async def project_list(
+    tenant_id: str = Query(default="default"),
+    status: str | None = Query(default=None),
+    keyword: str | None = Query(default=None),
+) -> dict[str, Any]:
+    return ok(get_platform_store().projects(tenant_id, status, keyword))
+
+
+@router.post("/projects")
+async def create_project(payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
+    try:
+        project = get_platform_store().create_project(payload)
+        return ok({"id": project["id"]})
+    except KeyError as exc:
+        raise fail(400, f"missing required field: {exc}")
+
+
+@router.get("/projects/{project_id}")
+async def project_detail(project_id: str) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().project(project_id))
+    except KeyError:
+        raise fail(404, "project not found")
+
+
+@router.put("/projects/{project_id}")
+async def update_project(project_id: str, payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().update_project(project_id, payload))
+    except KeyError:
+        raise fail(404, "project not found")
+
+
+@router.post("/projects/{project_id}/activate")
+async def activate_project(project_id: str) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().activate_project(project_id))
+    except KeyError:
+        raise fail(404, "project not found")
+
+
+@router.get("/projects/{project_id}/members")
+async def project_members(project_id: str) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().project_members(project_id))
+    except KeyError:
+        raise fail(404, "project not found")
+
+
+@router.post("/projects/{project_id}/members")
+async def add_project_member(project_id: str, payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
+    user_id = payload.get("user_id")
+    if not user_id:
+        raise fail(400, "user_id is required")
+    try:
+        return ok(get_platform_store().add_project_member(project_id, user_id, payload.get("role", "member")))
+    except KeyError as exc:
+        raise fail(404, str(exc))
+
+
+@router.put("/projects/{project_id}/members/{user_id}")
+async def update_project_member_role(project_id: str, user_id: str, payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().update_project_member_role(project_id, user_id, payload.get("role", "member")))
+    except KeyError as exc:
+        raise fail(404, str(exc))
+
+
+@router.delete("/projects/{project_id}/members/{user_id}")
+async def remove_project_member(project_id: str, user_id: str) -> dict[str, Any]:
+    try:
+        get_platform_store().remove_project_member(project_id, user_id)
+        return ok({"deleted": user_id})
+    except KeyError as exc:
+        raise fail(404, str(exc))
+
+
+# ===================== Fine-tune Events (§7.1) =====================
+
+@router.get("/fine-tune/{task_id}/events")
+async def fine_tune_events(task_id: str) -> StreamingResponse:
+    import json as _json
+
+    async def event_stream():
+        store = get_platform_store()
+        try:
+            events = store.task_events(task_id)
+            for event in events:
+                yield f"data: {_json.dumps(event, default=str)}\n\n"
+            yield f"data: {_json.dumps({'type': 'done', 'data': {}}, default=str)}\n\n"
+        except KeyError:
+            yield f"data: {_json.dumps({'type': 'error', 'data': {'message': 'task not found'}}, default=str)}\n\n"
+
+    return StreamingResponse(event_stream(), media_type="text/event-stream")
+
+
+# ===================== Fine-tune Retry & Resume (§13.9) =====================
+
+
+@router.post("/fine-tune/{task_id}/retry")
+async def retry_fine_tune(task_id: str) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().retry_task(task_id))
+    except KeyError:
+        raise fail(404, "fine tune task not found")
+    except ValueError as exc:
+        raise fail(400, str(exc))
+
+
+@router.post("/fine-tune/{task_id}/resume")
+async def resume_fine_tune(task_id: str, payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
+    checkpoint_id = payload.get("checkpoint_id")
+    if not checkpoint_id:
+        raise fail(400, "checkpoint_id is required")
+    try:
+        return ok(get_platform_store().resume_task(task_id, checkpoint_id))
+    except KeyError as exc:
+        raise fail(404, str(exc))
+    except ValueError as exc:
+        raise fail(400, str(exc))
+
+
+# ===================== Checkpoint Management (§13.9) =====================
+
+
+@router.delete("/fine-tune/{task_id}/checkpoints/{checkpoint_id}")
+async def delete_checkpoint(task_id: str, checkpoint_id: str) -> dict[str, Any]:
+    try:
+        get_platform_store().delete_checkpoint(checkpoint_id)
+        return ok({"deleted": checkpoint_id})
+    except KeyError:
+        raise fail(404, "checkpoint not found")
+
+
+@router.put("/fine-tune/{task_id}/checkpoint-retention")
+async def set_checkpoint_retention(task_id: str, payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().set_checkpoint_retention(task_id, payload))
+    except KeyError:
+        raise fail(404, "fine tune task not found")
+
+
+@router.get("/fine-tune/{task_id}/checkpoint-retention")
+async def get_checkpoint_retention(task_id: str) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().get_checkpoint_retention(task_id))
+    except KeyError:
+        raise fail(404, "fine tune task not found")
+
+
+# ===================== Compute Jobs (§13.6) =====================
+
+
+@router.post("/compute/jobs")
+async def create_compute_job(payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
+    try:
+        job = get_platform_store().create_compute_job(payload)
+        return ok({"id": job["id"]})
+    except KeyError as exc:
+        raise fail(400, f"missing required field: {exc}")
+
+
+@router.get("/compute/jobs/{job_id}")
+async def compute_job_detail(job_id: str) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().compute_job(job_id))
+    except KeyError:
+        raise fail(404, "compute job not found")
+
+
+@router.get("/compute/jobs")
+async def compute_jobs(task_id: str = Query(default=None)) -> dict[str, Any]:
+    if task_id:
+        return ok(get_platform_store().compute_jobs_by_task(task_id))
+    return ok([])
+
+
+@router.post("/compute/jobs/{job_id}/stop")
+async def stop_compute_job(job_id: str) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().stop_compute_job(job_id))
+    except KeyError:
+        raise fail(404, "compute job not found")
+
+
+@router.get("/compute/jobs/{job_id}/logs")
+async def compute_job_logs(job_id: str) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().compute_job_logs(job_id))
+    except KeyError as exc:
+        raise fail(404, str(exc))
+

backend/app/api/v1/router.py

@@ -0,0 +1,21 @@
+from fastapi import APIRouter
+
+from app.api.v1.endpoints.platform import router as platform_router
+from app.api.v1.endpoints.health import router as health_router
+from app.modules.auth import router as auth_router
+from app.modules.system import router as system_router
+from app.modules.tenant import router as tenant_router
+from app.modules.project import router as project_router
+from app.modules.resource import router as resource_router
+from app.modules.approval import router as approval_router
+
+api_router = APIRouter()
+api_router.include_router(health_router, tags=["health"])
+api_router.include_router(platform_router, tags=["platform"])
+api_router.include_router(auth_router, tags=["auth"])
+api_router.include_router(system_router, tags=["system"])
+api_router.include_router(tenant_router, tags=["tenant"])
+api_router.include_router(project_router, tags=["project"])
+api_router.include_router(resource_router, tags=["resource"])
+api_router.include_router(approval_router, tags=["approval"])
+

backend/app/core/__init__.py

@@ -0,0 +1 @@
+"""Core infrastructure modules."""

backend/app/core/config.py

@@ -0,0 +1,60 @@
+from dataclasses import dataclass
+from functools import lru_cache
+import os
+
+
+def _int_env(name: str, default: int) -> int:
+    raw = os.getenv(name)
+    if raw is None or raw == "":
+        return default
+    return int(raw)
+
+
+def _list_env(name: str, default: list[str]) -> list[str]:
+    raw = os.getenv(name)
+    if raw is None or raw.strip() == "":
+        return default
+    return [item.strip() for item in raw.split(",") if item.strip()]
+
+
+@dataclass(frozen=True)
+class Settings:
+    app_name: str = os.getenv("APP_NAME", "YG Fine-Tune Platform API")
+    app_env: str = os.getenv("APP_ENV", "local")
+    route_prefix: str = os.getenv("MODELTF_ROUTE_PREFIX", "/modelTF")
+    app_mode: str = os.getenv("APP_MODE", "local")
+    database_url: str = os.getenv("DATABASE_URL", "postgresql+psycopg://yg_ft:change_me@localhost:15432/yg_ft")
+    cors_allow_origins: list[str] = None  # type: ignore[assignment]
+    compute_mode: str = os.getenv("COMPUTE_MODE", "real")
+    compute_status_sync_mode: str = os.getenv("COMPUTE_STATUS_SYNC_MODE", "polling")
+    compute_poll_interval_seconds: int = _int_env("COMPUTE_POLL_INTERVAL_SECONDS", 3)
+    log_level: str = os.getenv("LOG_LEVEL", "INFO")
+    log_dir: str = os.getenv("LOG_DIR", "./logs")
+    log_file_prefix: str = os.getenv("LOG_FILE_PREFIX", "backend")
+    log_error_file_prefix: str = os.getenv("LOG_ERROR_FILE_PREFIX", "error")
+    log_max_bytes: int = _int_env("LOG_MAX_BYTES", 20 * 1024 * 1024)
+    log_retention_days: int = _int_env("LOG_RETENTION_DAYS", 10)
+    jwt_secret: str = os.getenv("JWT_SECRET", "dev-insecure-change-me")
+    jwt_algorithm: str = os.getenv("JWT_ALGORITHM", "HS256")
+    access_token_expire_minutes: int = _int_env("ACCESS_TOKEN_EXPIRE_MINUTES", 1440)
+
+    def __post_init__(self) -> None:
+        object.__setattr__(
+            self,
+            "cors_allow_origins",
+            _list_env(
+                "CORS_ALLOW_ORIGINS",
+                [
+                    "http://localhost:16801",
+                    "http://127.0.0.1:16801",
+                    "http://localhost:17861",
+                    "http://127.0.0.1:17861",
+                ],
+            ),
+        )
+
+
+@lru_cache
+def get_settings() -> Settings:
+    return Settings()
+

backend/app/core/logging.py

@@ -0,0 +1,253 @@
+from __future__ import annotations
+
+from contextvars import ContextVar
+from datetime import date, datetime, timedelta
+import json
+import logging
+from logging import Handler, LogRecord
+from pathlib import Path
+import re
+import time
+from typing import Any
+from uuid import uuid4
+
+from fastapi import FastAPI, Request
+
+from app.core.config import Settings, get_settings
+
+request_id_var: ContextVar[str] = ContextVar("request_id", default="-")
+
+
+class RequestIdFilter(logging.Filter):
+    def filter(self, record: LogRecord) -> bool:
+        record.request_id = request_id_var.get()
+        return True
+
+
+class JsonLogFormatter(logging.Formatter):
+    """Format one JSON object per line for ELK/Filebeat collection."""
+
+    def format(self, record: LogRecord) -> str:
+        payload: dict[str, Any] = {
+            "@timestamp": datetime.fromtimestamp(record.created).astimezone().isoformat(
+                timespec="milliseconds"
+            ),
+            "level": record.levelname,
+            "logger": record.name,
+            "message": record.getMessage(),
+            "module": record.module,
+            "function": record.funcName,
+            "file": record.pathname,
+            "line": record.lineno,
+            "process": record.process,
+            "thread": record.thread,
+            "thread_name": record.threadName,
+            "request_id": getattr(record, "request_id", "-"),
+        }
+        if record.exc_info:
+            payload["exception"] = self.formatException(record.exc_info)
+        if record.stack_info:
+            payload["stack"] = self.formatStack(record.stack_info)
+        return json.dumps(payload, ensure_ascii=False, separators=(",", ":"))
+
+
+class DateSizeRotatingFileHandler(Handler):
+    """Rotate log files by date and size while keeping date in every file name."""
+
+    def __init__(
+        self,
+        log_dir: str | Path,
+        file_prefix: str,
+        max_bytes: int,
+        retention_days: int,
+        encoding: str = "utf-8",
+    ) -> None:
+        super().__init__()
+        self.log_dir = Path(log_dir)
+        self.file_prefix = file_prefix
+        self.max_bytes = max_bytes
+        self.retention_days = retention_days
+        self.encoding = encoding
+        self._current_date: date | None = None
+        self._stream: Any | None = None
+        self._current_path: Path | None = None
+        self.log_dir.mkdir(parents=True, exist_ok=True)
+
+    def emit(self, record: LogRecord) -> None:
+        try:
+            message = self.format(record) + self.terminator
+            encoded_size = len(message.encode(self.encoding))
+            self._ensure_stream()
+            if self._should_rotate(encoded_size):
+                self._rotate_by_size()
+                self._ensure_stream(force=True)
+            self._stream.write(message)
+            self.flush()
+            self._cleanup_expired_files()
+        except Exception:
+            self.handleError(record)
+
+    @property
+    def terminator(self) -> str:
+        return "\n"
+
+    def flush(self) -> None:
+        if self._stream and not self._stream.closed:
+            self._stream.flush()
+
+    def close(self) -> None:
+        try:
+            if self._stream and not self._stream.closed:
+                self._stream.close()
+        finally:
+            self._stream = None
+            super().close()
+
+    def _dated_path(self, target_date: date) -> Path:
+        return self.log_dir / f"{self.file_prefix}-{target_date.isoformat()}.log"
+
+    def _ensure_stream(self, force: bool = False) -> None:
+        today = date.today()
+        if not force and self._stream and self._current_date == today:
+            return
+
+        if self._stream and not self._stream.closed:
+            self._stream.close()
+
+        self._current_date = today
+        self._current_path = self._dated_path(today)
+        self._stream = self._current_path.open("a", encoding=self.encoding)
+
+    def _should_rotate(self, incoming_size: int) -> bool:
+        if not self._current_path or self.max_bytes <= 0:
+            return False
+        if not self._current_path.exists():
+            return False
+        return self._current_path.stat().st_size + incoming_size > self.max_bytes
+
+    def _rotate_by_size(self) -> None:
+        if not self._current_path or not self._current_path.exists():
+            return
+
+        if self._stream and not self._stream.closed:
+            self._stream.close()
+            self._stream = None
+
+        stem = self._current_path.stem
+        suffix = self._current_path.suffix
+        index = 1
+        while True:
+            rotated_path = self.log_dir / f"{stem}.{index}{suffix}"
+            if not rotated_path.exists():
+                self._current_path.rename(rotated_path)
+                return
+            index += 1
+
+    def _cleanup_expired_files(self) -> None:
+        if self.retention_days <= 0:
+            return
+
+        cutoff = date.today() - timedelta(days=self.retention_days - 1)
+        pattern = re.compile(
+            rf"^{re.escape(self.file_prefix)}-(\d{{4}}-\d{{2}}-\d{{2}})(?:\.\d+)?\.log$"
+        )
+        for path in self.log_dir.glob(f"{self.file_prefix}-*.log"):
+            match = pattern.match(path.name)
+            if not match:
+                continue
+            file_date = datetime.strptime(match.group(1), "%Y-%m-%d").date()
+            if file_date < cutoff:
+                path.unlink(missing_ok=True)
+
+
+def configure_logging(settings: Settings | None = None) -> None:
+    settings = settings or get_settings()
+
+    root_logger = logging.getLogger()
+    root_logger.handlers.clear()
+    root_logger.setLevel(settings.log_level.upper())
+
+    console_formatter = logging.Formatter(
+        fmt=(
+            "%(asctime)s | %(levelname)s | pid=%(process)d | %(threadName)s | "
+            "request_id=%(request_id)s | %(name)s | %(pathname)s:%(lineno)d | %(message)s"
+        ),
+        datefmt="%Y-%m-%d %H:%M:%S",
+    )
+    json_formatter = JsonLogFormatter()
+    request_filter = RequestIdFilter()
+
+    console_handler = logging.StreamHandler()
+    console_handler.setFormatter(console_formatter)
+    console_handler.addFilter(request_filter)
+
+    file_handler = DateSizeRotatingFileHandler(
+        log_dir=settings.log_dir,
+        file_prefix=settings.log_file_prefix,
+        max_bytes=settings.log_max_bytes,
+        retention_days=settings.log_retention_days,
+    )
+    file_handler.setFormatter(json_formatter)
+    file_handler.addFilter(request_filter)
+
+    error_file_handler = DateSizeRotatingFileHandler(
+        log_dir=settings.log_dir,
+        file_prefix=settings.log_error_file_prefix,
+        max_bytes=settings.log_max_bytes,
+        retention_days=settings.log_retention_days,
+    )
+    error_file_handler.setLevel(logging.ERROR)
+    error_file_handler.setFormatter(json_formatter)
+    error_file_handler.addFilter(request_filter)
+
+    root_logger.addHandler(console_handler)
+    root_logger.addHandler(file_handler)
+    root_logger.addHandler(error_file_handler)
+
+    for logger_name in ("uvicorn", "uvicorn.error", "uvicorn.access"):
+        logger = logging.getLogger(logger_name)
+        logger.handlers.clear()
+        logger.propagate = True
+
+
+def get_logger(name: str) -> logging.Logger:
+    return logging.getLogger(name)
+
+
+def set_request_id(request_id: str) -> None:
+    request_id_var.set(request_id)
+
+
+def setup_request_logging(app: FastAPI) -> None:
+    logger = get_logger("app.access")
+
+    @app.middleware("http")
+    async def request_logging_middleware(request: Request, call_next):  # type: ignore[no-untyped-def]
+        request_id = request.headers.get("X-Request-ID") or str(uuid4())
+        token = request_id_var.set(request_id)
+        started_at = time.perf_counter()
+        try:
+            response = await call_next(request)
+            elapsed_ms = (time.perf_counter() - started_at) * 1000
+            logger.info(
+                "request completed method=%s path=%s status_code=%s duration_ms=%.2f client=%s",
+                request.method,
+                request.url.path,
+                response.status_code,
+                elapsed_ms,
+                request.client.host if request.client else "-",
+            )
+            response.headers["X-Request-ID"] = request_id
+            return response
+        except Exception:
+            elapsed_ms = (time.perf_counter() - started_at) * 1000
+            logger.exception(
+                "request failed method=%s path=%s duration_ms=%.2f client=%s",
+                request.method,
+                request.url.path,
+                elapsed_ms,
+                request.client.host if request.client else "-",
+            )
+            raise
+        finally:
+            request_id_var.reset(token)

backend/app/db/__init__.py

@@ -0,0 +1 @@
+"""Database infrastructure package."""

backend/app/db/session.py

@@ -0,0 +1,40 @@
+from __future__ import annotations
+
+import os
+from collections.abc import Generator
+from contextlib import contextmanager
+
+from sqlalchemy import create_engine
+from sqlalchemy.orm import Session, sessionmaker
+
+
+DATABASE_URL = os.getenv("DATABASE_URL", "postgresql+psycopg://yg_ft:change_me@localhost:15432/yg_ft")
+
+engine = create_engine(
+    DATABASE_URL,
+    pool_pre_ping=True,
+    future=True,
+)
+SessionLocal = sessionmaker(bind=engine, autoflush=False, autocommit=False, expire_on_commit=False, future=True)
+
+
+def get_db() -> Generator[Session, None, None]:
+    db = SessionLocal()
+    try:
+        yield db
+    finally:
+        db.close()
+
+
+@contextmanager
+def session_scope() -> Generator[Session, None, None]:
+    db = SessionLocal()
+    try:
+        yield db
+        db.commit()
+    except Exception:
+        db.rollback()
+        raise
+    finally:
+        db.close()
+

backend/app/db/sql/001_platform_runtime.sql

@@ -0,0 +1,214 @@
+CREATE TABLE IF NOT EXISTS users (
+    id TEXT PRIMARY KEY,
+    username TEXT NOT NULL UNIQUE,
+    password_hash TEXT NOT NULL,
+    display_name TEXT NOT NULL,
+    role TEXT NOT NULL,
+    status TEXT NOT NULL,
+    permissions TEXT NOT NULL,
+    create_time TEXT NOT NULL,
+    last_login TEXT,
+    protected INTEGER NOT NULL DEFAULT 0
+);
+
+CREATE TABLE IF NOT EXISTS models (
+    id TEXT PRIMARY KEY,
+    name TEXT NOT NULL UNIQUE,
+    type TEXT NOT NULL,
+    purpose TEXT NOT NULL,
+    model_source TEXT NOT NULL,
+    description TEXT,
+    path TEXT,
+    api_url TEXT,
+    api_key TEXT,
+    online_model_name TEXT,
+    create_time TEXT NOT NULL
+);
+
+CREATE TABLE IF NOT EXISTS trained_models (
+    id TEXT PRIMARY KEY,
+    name TEXT NOT NULL UNIQUE,
+    train_methods TEXT NOT NULL,
+    base_model_path TEXT,
+    create_time TEXT NOT NULL,
+    merged INTEGER NOT NULL DEFAULT 0,
+    merging INTEGER NOT NULL DEFAULT 0,
+    merged_path TEXT
+);
+
+CREATE TABLE IF NOT EXISTS datasets (
+    id TEXT PRIMARY KEY,
+    name TEXT NOT NULL UNIQUE,
+    type TEXT NOT NULL,
+    storage_type TEXT NOT NULL,
+    source TEXT NOT NULL,
+    task_id TEXT,
+    size TEXT,
+    count INTEGER NOT NULL DEFAULT 0,
+    description TEXT,
+    create_time TEXT NOT NULL
+);
+
+CREATE TABLE IF NOT EXISTS dataset_files (
+    id TEXT PRIMARY KEY,
+    dataset_id TEXT NOT NULL REFERENCES datasets(id) ON DELETE CASCADE,
+    name TEXT NOT NULL,
+    size TEXT,
+    content TEXT NOT NULL,
+    active_version_id TEXT NOT NULL,
+    versions TEXT NOT NULL,
+    create_time TEXT NOT NULL
+);
+
+CREATE TABLE IF NOT EXISTS compute_nodes (
+    id TEXT PRIMARY KEY,
+    code TEXT NOT NULL UNIQUE,
+    name TEXT NOT NULL,
+    api_base_url TEXT NOT NULL,
+    file_gateway_url TEXT NOT NULL,
+    enabled INTEGER NOT NULL DEFAULT 1,
+    scheduler_status TEXT NOT NULL,
+    scheduler_weight INTEGER NOT NULL DEFAULT 100,
+    tags TEXT NOT NULL,
+    gpu_count INTEGER NOT NULL DEFAULT 0,
+    current_running_jobs INTEGER NOT NULL DEFAULT 0,
+    max_parallel_jobs INTEGER NOT NULL DEFAULT 2,
+    data_root TEXT NOT NULL,
+    model_root TEXT NOT NULL,
+    log_root TEXT NOT NULL,
+    last_health_check_at TEXT,
+    health_detail TEXT NOT NULL
+);
+
+CREATE TABLE IF NOT EXISTS gpus (
+    id TEXT PRIMARY KEY,
+    node_id TEXT NOT NULL REFERENCES compute_nodes(id) ON DELETE CASCADE,
+    gpu_index INTEGER NOT NULL,
+    uuid TEXT NOT NULL,
+    name TEXT NOT NULL,
+    memory_total_gb DOUBLE PRECISION NOT NULL,
+    power_limit_w DOUBLE PRECISION NOT NULL,
+    base_temperature INTEGER NOT NULL
+);
+
+CREATE TABLE IF NOT EXISTS fine_tune_tasks (
+    id TEXT PRIMARY KEY,
+    name TEXT NOT NULL UNIQUE,
+    payload TEXT NOT NULL,
+    status TEXT NOT NULL,
+    progress INTEGER NOT NULL DEFAULT 0,
+    process_id INTEGER,
+    create_time TEXT NOT NULL,
+    start_time TEXT,
+    completed_at TEXT,
+    compute_node_id TEXT REFERENCES compute_nodes(id) ON DELETE SET NULL,
+    gpus TEXT NOT NULL,
+    sync_job_id TEXT
+);
+
+CREATE TABLE IF NOT EXISTS resource_replicas (
+    id TEXT PRIMARY KEY,
+    node_id TEXT NOT NULL REFERENCES compute_nodes(id) ON DELETE CASCADE,
+    resource_type TEXT NOT NULL,
+    resource_id TEXT NOT NULL,
+    local_path TEXT NOT NULL,
+    status TEXT NOT NULL,
+    sync_status TEXT NOT NULL,
+    create_time TEXT NOT NULL
+);
+
+CREATE TABLE IF NOT EXISTS resource_sync_jobs (
+    id TEXT PRIMARY KEY,
+    target_node_id TEXT NOT NULL,
+    resources TEXT NOT NULL,
+    status TEXT NOT NULL,
+    progress INTEGER NOT NULL DEFAULT 0,
+    create_time TEXT NOT NULL,
+    completed_at TEXT
+);
+
+-- ===================== Project / Tenant =====================
+
+CREATE TABLE IF NOT EXISTS projects (
+    id TEXT PRIMARY KEY,
+    tenant_id TEXT NOT NULL DEFAULT 'default',
+    name TEXT NOT NULL,
+    code TEXT NOT NULL,
+    description TEXT,
+    quota TEXT,
+    status TEXT NOT NULL DEFAULT 'active',
+    create_time TEXT NOT NULL,
+    create_by TEXT,
+    updated_at TEXT
+);
+
+CREATE TABLE IF NOT EXISTS project_members (
+    project_id TEXT NOT NULL REFERENCES projects(id) ON DELETE CASCADE,
+    user_id TEXT NOT NULL REFERENCES users(id) ON DELETE CASCADE,
+    role TEXT NOT NULL DEFAULT 'member',
+    create_time TEXT NOT NULL,
+    PRIMARY KEY (project_id, user_id)
+);
+
+-- ===================== Fine-tune Checkpoints =====================
+
+CREATE TABLE IF NOT EXISTS fine_tune_checkpoints (
+    id TEXT PRIMARY KEY,
+    task_id TEXT NOT NULL REFERENCES fine_tune_tasks(id) ON DELETE CASCADE,
+    name TEXT NOT NULL,
+    path TEXT NOT NULL,
+    step INTEGER NOT NULL DEFAULT 0,
+    loss DOUBLE PRECISION,
+    is_best INTEGER NOT NULL DEFAULT 0,
+    size_bytes BIGINT DEFAULT 0,
+    create_time TEXT NOT NULL
+);
+
+-- ===================== Compute Jobs (internal) =====================
+
+CREATE TABLE IF NOT EXISTS compute_jobs (
+    id TEXT PRIMARY KEY,
+    task_id TEXT NOT NULL REFERENCES fine_tune_tasks(id) ON DELETE CASCADE,
+    node_id TEXT NOT NULL,
+    name TEXT NOT NULL,
+    type TEXT NOT NULL DEFAULT 'train',
+    status TEXT NOT NULL DEFAULT 'pending',
+    command TEXT,
+    gpu_count INTEGER NOT NULL DEFAULT 1,
+    priority INTEGER NOT NULL DEFAULT 0,
+    timeout_seconds INTEGER,
+    progress REAL DEFAULT 0,
+    result TEXT,
+    error_message TEXT,
+    create_time TEXT NOT NULL,
+    start_time TEXT,
+    completed_at TEXT
+);
+
+-- ===================== Indexes =====================
+
+CREATE INDEX IF NOT EXISTS idx_fine_tune_status ON fine_tune_tasks(status);
+CREATE INDEX IF NOT EXISTS idx_dataset_files_dataset ON dataset_files(dataset_id);
+CREATE INDEX IF NOT EXISTS idx_gpus_node ON gpus(node_id);
+CREATE INDEX IF NOT EXISTS idx_replicas_resource ON resource_replicas(resource_type, resource_id);
+CREATE INDEX IF NOT EXISTS idx_projects_tenant ON projects(tenant_id);
+CREATE INDEX IF NOT EXISTS idx_project_members_user ON project_members(user_id);
+CREATE INDEX IF NOT EXISTS idx_checkpoints_task ON fine_tune_checkpoints(task_id);
+CREATE INDEX IF NOT EXISTS idx_compute_jobs_task ON compute_jobs(task_id);
+CREATE INDEX IF NOT EXISTS idx_compute_jobs_node ON compute_jobs(node_id);
+CREATE INDEX IF NOT EXISTS idx_compute_jobs_status ON compute_jobs(status);
+
+-- ===================== Migrations: extend fine_tune_tasks =====================
+
+ALTER TABLE fine_tune_tasks ADD COLUMN IF NOT EXISTS project_id TEXT;
+ALTER TABLE fine_tune_tasks ADD COLUMN IF NOT EXISTS tenant_id TEXT NOT NULL DEFAULT 'default';
+ALTER TABLE fine_tune_tasks ADD COLUMN IF NOT EXISTS dataset_name TEXT;
+ALTER TABLE fine_tune_tasks ADD COLUMN IF NOT EXISTS model_name TEXT;
+ALTER TABLE fine_tune_tasks ADD COLUMN IF NOT EXISTS trained_model_name TEXT;
+ALTER TABLE fine_tune_tasks ADD COLUMN IF NOT EXISTS checkpoint_retention_policy TEXT;
+ALTER TABLE fine_tune_tasks ADD COLUMN IF NOT EXISTS error_message TEXT;
+ALTER TABLE fine_tune_tasks ADD COLUMN IF NOT EXISTS retry_count INTEGER NOT NULL DEFAULT 0;
+ALTER TABLE fine_tune_tasks ADD COLUMN IF NOT EXISTS last_retry_at TEXT;
+ALTER TABLE fine_tune_tasks ADD COLUMN IF NOT EXISTS resumed_from_checkpoint_id TEXT;
+
+CREATE INDEX IF NOT EXISTS idx_fine_tune_project ON fine_tune_tasks(project_id);

backend/app/db/sql/002_governance.sql

@@ -0,0 +1,127 @@
+-- A. 平台基础与企业治理：权限 / 角色 / 租户 / 审批 / 审计 / 留存
+-- 沿用 001 的约定：时间戳存 TEXT，布尔用 INTEGER，列表用 TEXT(JSON)
+
+CREATE TABLE IF NOT EXISTS permissions (
+    code        TEXT PRIMARY KEY,
+    name        TEXT NOT NULL,
+    group_name  TEXT NOT NULL,
+    create_time TEXT NOT NULL
+);
+
+CREATE TABLE IF NOT EXISTS roles (
+    id           TEXT PRIMARY KEY,
+    name         TEXT NOT NULL UNIQUE,
+    display_name TEXT NOT NULL,
+    permissions  TEXT NOT NULL,
+    create_time  TEXT NOT NULL
+);
+
+CREATE TABLE IF NOT EXISTS role_permissions (
+    role_id     TEXT NOT NULL,
+    permission  TEXT NOT NULL,
+    PRIMARY KEY (role_id, permission)
+);
+
+CREATE TABLE IF NOT EXISTS user_permission_overrides (
+    user_id     TEXT NOT NULL,
+    permission  TEXT NOT NULL,
+    granted     INTEGER NOT NULL,
+    PRIMARY KEY (user_id, permission)
+);
+
+CREATE TABLE IF NOT EXISTS tenants (
+    id            TEXT PRIMARY KEY,
+    name          TEXT NOT NULL UNIQUE,
+    code          TEXT NOT NULL UNIQUE,
+    status        TEXT NOT NULL,
+    owner_user_id TEXT,
+    create_time   TEXT NOT NULL
+);
+
+CREATE TABLE IF NOT EXISTS tenant_users (
+    tenant_id TEXT NOT NULL,
+    user_id   TEXT NOT NULL,
+    role      TEXT NOT NULL,
+    PRIMARY KEY (tenant_id, user_id)
+);
+
+CREATE TABLE IF NOT EXISTS resource_acl (
+    resource_type  TEXT NOT NULL,
+    resource_id    TEXT NOT NULL,
+    principal_type TEXT NOT NULL,
+    principal_id   TEXT NOT NULL,
+    permission     TEXT NOT NULL,
+    granted        INTEGER NOT NULL,
+    PRIMARY KEY (resource_type, resource_id, principal_type, principal_id, permission)
+);
+
+CREATE TABLE IF NOT EXISTS approval_templates (
+    id          TEXT PRIMARY KEY,
+    name        TEXT NOT NULL,
+    steps       TEXT NOT NULL,
+    create_time TEXT NOT NULL
+);
+
+CREATE TABLE IF NOT EXISTS approval_instances (
+    id            TEXT PRIMARY KEY,
+    template_id   TEXT,
+    resource_type TEXT NOT NULL,
+    resource_id   TEXT NOT NULL,
+    applicant_id  TEXT NOT NULL,
+    status        TEXT NOT NULL,
+    current_step  INTEGER NOT NULL DEFAULT 0,
+    create_time   TEXT NOT NULL
+);
+
+CREATE TABLE IF NOT EXISTS approval_steps (
+    instance_id TEXT NOT NULL,
+    step_index  INTEGER NOT NULL,
+    approver_id TEXT,
+    status      TEXT NOT NULL,
+    comment     TEXT,
+    time        TEXT,
+    PRIMARY KEY (instance_id, step_index)
+);
+
+CREATE TABLE IF NOT EXISTS audit_logs (
+    id          TEXT PRIMARY KEY,
+    tenant_id   TEXT,
+    project_id  TEXT,
+    actor_id    TEXT,
+    action      TEXT NOT NULL,
+    target_type TEXT,
+    target_id   TEXT,
+    detail      TEXT,
+    client_ip   TEXT,
+    time        TEXT NOT NULL
+);
+
+CREATE TABLE IF NOT EXISTS retention_policies (
+    id             TEXT PRIMARY KEY,
+    name           TEXT NOT NULL,
+    resource_type  TEXT NOT NULL,
+    retention_days INTEGER NOT NULL,
+    create_time    TEXT NOT NULL
+);
+
+-- ===================== 种子数据 =====================
+INSERT INTO permissions (code, name, group_name, create_time) VALUES
+    ('dashboard',       '仪表盘',   '概览', '2026-01-01T00:00:00Z'),
+    ('fine-tune',       '模型微调', '模型', '2026-01-01T00:00:00Z'),
+    ('model-eval',      '模型评估', '模型', '2026-01-01T00:00:00Z'),
+    ('model-inference', '模型推理', '模型', '2026-01-01T00:00:00Z'),
+    ('model-manage',    '模型管理', '模型', '2026-01-01T00:00:00Z'),
+    ('dataset',         '数据集',   '数据', '2026-01-01T00:00:00Z'),
+    ('data-process',    '数据处理', '数据', '2026-01-01T00:00:00Z'),
+    ('data-convert',    '数据转换', '数据', '2026-01-01T00:00:00Z'),
+    ('compute',         '算力管理', '算力', '2026-01-01T00:00:00Z'),
+    ('hardware',        '硬件监控', '算力', '2026-01-01T00:00:00Z'),
+    ('logs',            '日志查看', '运维', '2026-01-01T00:00:00Z'),
+    ('user-settings',   '用户设置', '运维', '2026-01-01T00:00:00Z')
+ON CONFLICT (code) DO NOTHING;
+
+INSERT INTO roles (id, name, display_name, permissions, create_time) VALUES
+    ('role_admin',   'admin',   '管理员', '["dashboard","fine-tune","model-eval","model-inference","model-manage","dataset","data-process","data-convert","compute","hardware","logs","user-settings"]', '2026-01-01T00:00:00Z'),
+    ('role_operator','operator','操作员', '["dashboard","fine-tune","model-eval","model-inference","model-manage","dataset","data-process","data-convert","compute","hardware","logs"]', '2026-01-01T00:00:00Z'),
+    ('role_viewer',  'viewer',  '访客',   '["dashboard"]', '2026-01-01T00:00:00Z')
+ON CONFLICT (name) DO NOTHING;

backend/app/db/sql/003_tenant_quota.sql

@@ -0,0 +1,17 @@
+-- 003: tenants 补充 quota / retention_policy 列（接口契约 13.1 需要）
+DO $$
+BEGIN
+    IF NOT EXISTS (
+        SELECT 1 FROM information_schema.columns
+        WHERE table_name = 'tenants' AND column_name = 'quota'
+    ) THEN
+        ALTER TABLE tenants ADD COLUMN quota TEXT;
+    END IF;
+    IF NOT EXISTS (
+        SELECT 1 FROM information_schema.columns
+        WHERE table_name = 'tenants' AND column_name = 'retention_policy_id'
+    ) THEN
+        ALTER TABLE tenants ADD COLUMN retention_policy_id TEXT;
+    END IF;
+END
+$$;

backend/app/main.py

@@ -0,0 +1,26 @@
+from fastapi import FastAPI
+from fastapi.middleware.cors import CORSMiddleware
+
+from app.api.v1.router import api_router
+from app.core.config import get_settings
+from app.core.logging import configure_logging, setup_request_logging
+
+
+def create_app() -> FastAPI:
+    settings = get_settings()
+    configure_logging(settings)
+
+    app = FastAPI(title=settings.app_name)
+    app.add_middleware(
+        CORSMiddleware,
+        allow_origins=settings.cors_allow_origins,
+        allow_credentials=True,
+        allow_methods=["*"],
+        allow_headers=["*"],
+    )
+    setup_request_logging(app)
+    app.include_router(api_router, prefix=settings.route_prefix)
+    return app
+
+
+app = create_app()

backend/app/modules/README.md

@@ -0,0 +1,15 @@
+# Backend Module Convention
+
+每个业务模块建议保持一致结构：
+
+```text
+module_name/
+  __init__.py
+  router.py       # FastAPI router
+  schemas.py      # Pydantic request/response models
+  service.py      # Business orchestration
+  repository.py   # Database access
+  permissions.py  # Optional resource permission checks
+```
+
+模块边界以 `docs/system-development-plan.md` 的页面模块开发工作包为准。

backend/app/modules/approval/__init__.py

@@ -0,0 +1,5 @@
+"""Approval workflow module."""
+
+from app.modules.approval.router import router
+
+__all__ = ["router"]

backend/app/modules/approval/router.py

@@ -0,0 +1,67 @@
+from __future__ import annotations
+
+from fastapi import APIRouter, Body
+from typing import Any
+
+from app.api.v1.endpoints.platform import ok, fail
+from app.db.platform_store import get_platform_store
+
+router = APIRouter(prefix="/approvals", tags=["approval"])
+
+
+@router.get("/templates")
+def list_templates() -> dict[str, Any]:
+    return ok(get_platform_store().approval_templates())
+
+
+@router.post("/templates")
+def create_template(payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
+    if not payload.get("name"):
+        raise fail(400, "name 必填")
+    return ok(get_platform_store().create_approval_template(payload))
+
+
+@router.get("")
+def list_instances(status: str | None = None) -> dict[str, Any]:
+    return ok(get_platform_store().approval_instances(status=status))
+
+
+@router.post("")
+def create_instance(payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
+    for field in ("resource_type", "resource_id", "applicant_id"):
+        if not payload.get(field):
+            raise fail(400, f"{field} 必填")
+    try:
+        return ok(get_platform_store().create_approval_instance(payload))
+    except KeyError:
+        raise fail(404, "template not found")
+
+
+@router.get("/{instance_id}")
+def get_instance(instance_id: str) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().approval_instance(instance_id))
+    except KeyError:
+        raise fail(404, "instance not found")
+
+
+@router.post("/{instance_id}/steps/{step_index}/decision")
+def decide(
+    instance_id: str,
+    step_index: int,
+    payload: dict[str, Any] = Body(...),
+) -> dict[str, Any]:
+    if not payload.get("approver_id"):
+        raise fail(400, "approver_id 必填")
+    try:
+        return ok(
+            get_platform_store().decide_approval_step(
+                instance_id,
+                step_index,
+                approver_id=payload["approver_id"],
+                approved=bool(payload.get("approved", False)),
+                comment=payload.get("comment"),
+            )
+        )
+    except (KeyError, ValueError) as e:
+        raise fail(400, str(e))

backend/app/modules/audit/__init__.py

@@ -0,0 +1 @@
+"""Audit log module."""

backend/app/modules/auth/__init__.py

@@ -0,0 +1,3 @@
+from app.modules.auth.router import router
+
+__all__ = ["router"]

backend/app/modules/auth/deps.py

@@ -0,0 +1,20 @@
+from __future__ import annotations
+
+from fastapi import Depends, Header, HTTPException, status
+
+from app.db.platform_store import get_platform_store
+from app.modules.auth.service import decode_access_token
+
+
+def get_current_user(authorization: str | None = Header(default=None)) -> dict:
+    """从 Bearer 令牌解析出当前登录用户，供受保护接口依赖使用。"""
+    if not authorization or not authorization.lower().startswith("bearer "):
+        raise HTTPException(status_code=status.HTTP_401_UNAUTHORIZED, detail="缺少认证令牌")
+    token = authorization.split(" ", 1)[1].strip()
+    user_id = decode_access_token(token)
+    if not user_id:
+        raise HTTPException(status_code=status.HTTP_401_UNAUTHORIZED, detail="令牌无效或已过期")
+    user = get_platform_store().user_by_id(user_id)
+    if not user:
+        raise HTTPException(status_code=status.HTTP_401_UNAUTHORIZED, detail="用户不存在")
+    return user

backend/app/modules/auth/router.py

@@ -0,0 +1,30 @@
+from __future__ import annotations
+
+from fastapi import APIRouter, Depends, HTTPException, status
+from pydantic import BaseModel
+
+from app.db.platform_store import get_platform_store
+from app.modules.auth.deps import get_current_user
+from app.modules.auth.service import create_access_token
+
+
+router = APIRouter()
+
+
+class LoginBody(BaseModel):
+    username: str
+    password: str
+
+
+@router.post("/login")
+def login(body: LoginBody) -> dict:
+    user = get_platform_store().login(body.username, body.password)
+    if not user:
+        raise HTTPException(status_code=status.HTTP_401_UNAUTHORIZED, detail="用户名或密码错误")
+    token = create_access_token(user["id"])
+    return {"code": 0, "message": "ok", "data": {"token": token, "user": user}}
+
+
+@router.get("/me")
+def me(current_user: dict = Depends(get_current_user)) -> dict:
+    return {"code": 0, "message": "ok", "data": current_user}

backend/app/modules/auth/service.py

@@ -0,0 +1,33 @@
+from __future__ import annotations
+
+import jwt
+from datetime import datetime, timedelta, timezone
+
+from app.core.config import get_settings
+
+
+def _now() -> datetime:
+    return datetime.now(timezone.utc)
+
+
+def create_access_token(user_id: str, expires_minutes: int | None = None) -> str:
+    """为指定用户签发 JWT 访问令牌。"""
+    settings = get_settings()
+    expire = _now() + timedelta(minutes=expires_minutes or settings.access_token_expire_minutes)
+    payload = {
+        "sub": user_id,
+        "iat": int(_now().timestamp()),
+        "exp": int(expire.timestamp()),
+    }
+    return jwt.encode(payload, settings.jwt_secret, algorithm=settings.jwt_algorithm)
+
+
+def decode_access_token(token: str) -> str | None:
+    """校验并返回令牌中的用户 ID；无效/过期返回 None。"""
+    settings = get_settings()
+    try:
+        payload = jwt.decode(token, settings.jwt_secret, algorithms=[settings.jwt_algorithm])
+    except jwt.PyJWTError:
+        return None
+    sub = payload.get("sub")
+    return sub if isinstance(sub, str) else None

backend/app/modules/compute_gateway/__init__.py

@@ -0,0 +1 @@
+"""Application-side compute platform gateway module."""

backend/app/modules/data_process/__init__.py

@@ -0,0 +1 @@
+"""Data processing module."""

backend/app/modules/dataset/__init__.py

@@ -0,0 +1 @@
+"""Dataset management module."""

backend/app/modules/engine_registry/__init__.py

@@ -0,0 +1 @@
+"""Training engine registry module."""

backend/app/modules/eval/__init__.py

@@ -0,0 +1 @@
+"""Evaluation module."""

backend/app/modules/file_gateway/__init__.py

@@ -0,0 +1 @@
+"""Application-side file gateway module."""

backend/app/modules/fine_tune/__init__.py

@@ -0,0 +1,7 @@
+"""模型训练模块（移植自模型服务 projects/backend）。
+
+- service.py: 业务编排（preset 参数预设、train_type→stage 映射、启动/暂停/恢复/取消）。
+- runner.py: 真实训练执行器（基于 LLaMA-Factory 的 llamafactory-cli 子进程 + 实时 loss 监控）。
+
+当前后端默认 COMPUTE_MODE=real 时由本模块真正驱动训练；本地无 GPU 用 simulator 时不触发，行为不变。
+"""

backend/app/modules/fine_tune/runner.py

@@ -0,0 +1,423 @@
+"""
+真实训练执行器（基于项目内 train.py 调用 LLaMA-Factory 库）
+
+- 根据任务配置构建 `python train.py` 命令（非 llamafactory-cli 子命令）
+- 实时捕获训练日志与 trainer_log.jsonl 的 loss，回写到 PlatformStore
+- 支持 SIGSTOP / SIGCONT / SIGKILL 实现暂停 / 恢复 / 取消
+- 训练完成后自动绘制 loss 曲线（matplotlib 可选）
+"""
+from __future__ import annotations
+
+import json
+import os
+import queue
+import signal
+import subprocess
+import sys
+import threading
+import time
+from datetime import datetime
+from pathlib import Path
+from typing import Any
+
+from app.db.platform_store import get_platform_store
+
+BACKEND_ROOT = Path(__file__).resolve().parent.parent.parent.parent
+DATA_DIR = BACKEND_ROOT / "data"
+DATASET_INFO_PATH = DATA_DIR / "dataset_info.json"
+DATASET_STORE_DIR = DATA_DIR / "fine_tune_datasets"
+OUTPUT_ROOT = DATA_DIR / "fine_tune_outputs"
+TRAIN_SCRIPT = BACKEND_ROOT / "train.py"
+
+_running_processes: dict[str, "subprocess.Popen[Any]"] = {}
+
+_stage_map = {"sft": "sft", "dpo": "dpo", "cpt": "pt", "cot": "sft"}
+
+
+# ──────────────────────────────────────────────
+# 工具函数
+# ──────────────────────────────────────────────
+def _log(store: Any, task_id: str, msg: str, log_type: str = "info") -> None:
+    try:
+        task = store.task(task_id)
+        logs = list(task.get("logs") or [])
+        logs.append({"time": datetime.now().strftime("%H:%M:%S"), "msg": msg, "type": log_type})
+        store.update_task_runtime(task_id, extra={"logs": logs})
+    except Exception:
+        pass
+
+
+def _resolve_model_path(store: Any, name_or_path: str) -> str:
+    """把模型短名解析为本地绝对路径；已是合法路径则原样返回。"""
+    if not name_or_path:
+        return name_or_path
+    p = Path(name_or_path)
+    if p.exists() and (p / "config.json").exists():
+        return str(p.resolve())
+    for m in store.models() or []:
+        if m.get("name") == name_or_path or m.get("path") == name_or_path:
+            resolved = Path(m.get("path", ""))
+            if resolved.exists():
+                return str(resolved.resolve())
+    return name_or_path
+
+
+def _materialize_dataset(store: Any, dataset_id: str) -> str:
+    """把数据集管理系统的 UUID 数据集落盘并注册进 dataset_info.json，返回 --dataset key。"""
+    if not dataset_id or dataset_id == "identity":
+        return dataset_id
+    try:
+        existing = json.loads(DATASET_INFO_PATH.read_text(encoding="utf-8")) if DATASET_INFO_PATH.exists() else {}
+    except Exception:
+        existing = {}
+    if dataset_id in existing:
+        return dataset_id
+    try:
+        ds = store.dataset(dataset_id)
+    except Exception:
+        return dataset_id
+    files = ds.get("files") or []
+    if not files:
+        return dataset_id
+    file_id = files[0].get("id")
+    ext = files[0].get("ext", ".json")
+    if ext not in (".json", ".jsonl"):
+        ext = ".json"
+    if not file_id:
+        return dataset_id
+    try:
+        row = store.dataset_file(file_id)
+    except Exception:
+        return dataset_id
+    content = row.get("content", "")
+    DATASET_STORE_DIR.mkdir(parents=True, exist_ok=True)
+    actual = DATASET_STORE_DIR / f"{dataset_id}{ext}"
+    actual.write_text(content, encoding="utf-8")
+    rel = actual.relative_to(DATA_DIR)
+    entry: dict[str, Any] = {"file_name": str(rel)}
+    try:
+        text = content.strip()
+        if text.startswith("["):
+            text = text[text.find("{") : text.find("}") + 1]
+        sample = json.loads(text)
+        if isinstance(sample, dict) and ("messages" in sample or "conversations" in sample):
+            key = "messages" if "messages" in sample else "conversations"
+            entry["formatting"] = "sharegpt"
+            entry["columns"] = {"messages": key}
+    except Exception:
+        pass
+    existing[dataset_id] = entry
+    DATASET_INFO_PATH.parent.mkdir(parents=True, exist_ok=True)
+    DATASET_INFO_PATH.write_text(json.dumps(existing, ensure_ascii=False, indent=2), encoding="utf-8")
+    return dataset_id
+
+
+# ──────────────────────────────────────────────
+# 训练主流程
+# ──────────────────────────────────────────────
+def run_training(task_id: str) -> None:
+    store = get_platform_store()
+    try:
+        task = store.task(task_id)
+    except Exception:
+        return
+
+    cfg = dict(task)
+    mode = (cfg.get("train_type") or "sft").lower()
+    stage = _stage_map.get(mode, "sft")
+
+    base_model = _resolve_model_path(store, cfg.get("base_model", ""))
+    train_dataset = _materialize_dataset(store, cfg.get("train_dataset_id", ""))
+    eval_dataset = _materialize_dataset(store, cfg.get("eval_dataset_id") or cfg.get("eval_dataset", ""))
+
+    finetuning_type = (cfg.get("train_method") or "lora").lower()
+    OUTPUT_ROOT.mkdir(parents=True, exist_ok=True)
+    output_dir = str(OUTPUT_ROOT / task["name"])
+
+    env = os.environ.copy()
+    env.setdefault("HF_HUB_OFFLINE", "1")
+    env.setdefault("TRANSFORMERS_OFFLINE", "1")
+    env.setdefault("HF_ENDPOINT", "https://hf-mirror.com")
+
+    gpus = cfg.get("gpus") or [0]
+    num_gpus = int(cfg.get("num_gpus", len(gpus)) or 1) or 1
+    # 仅当显式指定非默认 GPU 时限制可见设备；多卡统一走 torchrun
+    if gpus and str(gpus[0]) not in ("0", "gpu-0"):
+        env["CUDA_VISIBLE_DEVICES"] = ",".join(str(g).replace("gpu-", "") for g in gpus)
+        num_gpus = len(gpus)
+
+    if num_gpus > 1:
+        _log(store, task_id, f"[INFO] 启用分布式训练: {num_gpus} 个 GPU", "info")
+        cmd = [sys.executable, "-m", "torch.distributed.run", "--nproc_per_node", str(num_gpus), str(TRAIN_SCRIPT)]
+    else:
+        cmd = [sys.executable, str(TRAIN_SCRIPT)]
+    cmd += [
+        "--stage", stage,
+        "--do_train", "True",
+        "--model_name_or_path", base_model,
+        "--dataset", train_dataset,
+        "--dataset_dir", str(DATA_DIR),
+        "--template", cfg.get("template", "default"),
+        "--finetuning_type", finetuning_type,
+        "--output_dir", output_dir,
+        "--trust_remote_code", "True",
+        "--overwrite_output_dir", "True",
+        "--report_to", "none",
+        "--learning_rate", str(cfg.get("learning_rate", "1e-5")),
+        "--num_train_epochs", str(cfg.get("n_epochs", 3)),
+        "--per_device_train_batch_size", str(cfg.get("batch_size", 4)),
+        "--cutoff_len", str(cfg.get("max_length", 1024)),
+        "--gradient_accumulation_steps", str(cfg.get("gradient_accumulation_steps", 4)),
+        "--max_samples", str(cfg.get("max_samples", 100000)),
+        "--lr_scheduler_type", cfg.get("lr_scheduler_type", "cosine"),
+        "--warmup_ratio", str(cfg.get("warmup_ratio", 0.03)),
+        "--max_grad_norm", str(cfg.get("max_grad_norm", "1.0")),
+        "--optim", cfg.get("optim", "adamw_torch"),
+        "--logging_steps", str(cfg.get("logging_steps", 10)),
+        "--save_steps", str(cfg.get("save_steps", 100)),
+        "--save_total_limit", str(cfg.get("save_total_limit", 5)),
+        "--flash_attn", cfg.get("flash_attn", "auto"),
+    ]
+    dtype = cfg.get("dtype", "bf16")
+    if dtype == "bf16":
+        cmd += ["--bf16", "True"]
+    elif dtype == "fp16":
+        cmd += ["--fp16", "True"]
+    if finetuning_type == "lora":
+        cmd += [
+            "--lora_rank", str(cfg.get("lora_rank", 8)),
+            "--lora_alpha", str(cfg.get("lora_alpha", 16)),
+            "--lora_dropout", str(cfg.get("lora_dropout", "0.05")),
+            "--lora_target", cfg.get("lora_target", "all"),
+        ]
+    if cfg.get("do_eval", False):
+        cmd += ["--do_eval", "True", "--eval_strategy", "steps",
+                "--eval_steps", str(cfg.get("eval_steps", 50)),
+                "--per_device_eval_batch_size", "4"]
+        if eval_dataset:
+            cmd += ["--eval_dataset", eval_dataset]
+        else:
+            cmd += ["--val_size", str(cfg.get("val_size", "0.1"))]
+    if cfg.get("resume_from"):
+        cmd += ["--resume_from_checkpoint", str(cfg["resume_from"])]
+
+    _log(store, task_id, f"[INFO] 训练任务启动: {mode.upper()} 微调")
+    _log(store, task_id, f"[INFO] 基座模型: {base_model}")
+    _log(store, task_id, f"[INFO] 数据集: {train_dataset}")
+    _log(store, task_id, f"[INFO] 输出目录: {output_dir}")
+    store.update_task_runtime(task_id, status="running", progress=10, process_id=None)
+
+    try:
+        process = subprocess.Popen(
+            cmd,
+            cwd=str(BACKEND_ROOT),
+            stdout=subprocess.PIPE,
+            stderr=subprocess.STDOUT,
+            text=True,
+            env=env,
+            start_new_session=True,
+        )
+        _running_processes[task_id] = process
+        store.update_task_runtime(task_id, process_id=process.pid)
+        _log(store, task_id, f"[INFO] 训练进程已启动 (PID: {process.pid})", "info")
+
+        log_file = Path(output_dir) / "trainer_log.jsonl"
+        last_pos = 0
+        stop_flag = threading.Event()
+        finished = threading.Event()
+
+        def watch_logs() -> None:
+            nonlocal last_pos
+            while not stop_flag.is_set():
+                time.sleep(1)
+                if not log_file.exists():
+                    continue
+                try:
+                    with open(log_file, "r", encoding="utf-8") as lf:
+                        lf.seek(last_pos)
+                        for line in lf:
+                            try:
+                                data = json.loads(line)
+                                if "loss" not in data:
+                                    continue
+                                loss = float(data["loss"])
+                                history = list(store.task(task_id).get("loss_history") or [])
+                                history.append(loss)
+                                extra: dict[str, Any] = {"current_loss": loss, "loss_history": history}
+                                if data.get("lr") is not None:
+                                    extra["learning_rate"] = float(str(data["lr"]).replace("'", ""))
+                                if data.get("epoch") is not None:
+                                    extra["current_epoch"] = float(data["epoch"])
+                                if data.get("percentage") is not None:
+                                    extra["progress"] = float(data["percentage"])
+                                if data.get("remaining_time"):
+                                    extra["eta"] = str(data["remaining_time"])
+                                store.update_task_runtime(task_id, extra=extra)
+                                step = data.get("current_steps")
+                                total = data.get("total_steps")
+                                _log(store, task_id, f"Step {step}/{total} loss={loss:.4f}")
+                                try:
+                                    if int(step) >= int(total):
+                                        finished.set()
+                                except Exception:
+                                    pass
+                            except Exception:
+                                pass
+                        last_pos = lf.tell()
+                except Exception:
+                    pass
+
+        watcher = threading.Thread(target=watch_logs, daemon=True)
+        watcher.start()
+
+        q: "queue.Queue[str]" = queue.Queue()
+
+        def reader() -> None:
+            try:
+                for line in process.stdout:
+                    q.put(line.rstrip("\r\n"))
+            except Exception:
+                pass
+            finally:
+                q.put("")
+
+        r = threading.Thread(target=reader, daemon=True)
+        r.start()
+
+        while True:
+            try:
+                raw = q.get(timeout=1)
+            except queue.Empty:
+                if finished.is_set() or (process.poll() is not None and q.empty()):
+                    try:
+                        raw = q.get(timeout=1)
+                    except queue.Empty:
+                        break
+                else:
+                    continue
+            if not raw:
+                break
+            low = raw.lower()
+            log_type = "error" if "error" in low else ("warn" if "warn" in low else "info")
+            _log(store, task_id, raw, log_type)
+
+        stop_flag.set()
+        try:
+            process.stdout.close()
+        except Exception:
+            pass
+        watcher.join(timeout=3)
+        try:
+            process.wait(timeout=60)
+        except subprocess.TimeoutExpired:
+            process.kill()
+            process.wait()
+
+        ret = process.returncode
+        if ret == 0:
+            store.update_task_runtime(task_id, status="completed", progress=100)
+            _log(store, task_id, "[INFO] 训练完成！", "info")
+            try:
+                store.ensure_trained_model_for_task(task_id, cfg, output_dir)
+            except Exception as exc:
+                _log(store, task_id, f"[WARN] 登记训练产物失败: {exc}", "warn")
+            try:
+                _plot_loss_curve(task_id, output_dir, bool(cfg.get("do_eval", False)))
+            except Exception as exc:
+                _log(store, task_id, f"[WARN] Loss 曲线异常: {exc}", "warn")
+        else:
+            store.update_task_runtime(task_id, status="failed", extra={"error_message": f"训练退出码: {ret}"})
+            _log(store, task_id, f"[ERROR] 训练退出码: {ret}", "error")
+    except FileNotFoundError:
+        store.update_task_runtime(task_id, status="failed", extra={"error_message": "未找到 train.py 或 Python，请确认后端根目录存在 train.py 且 LLaMA-Factory 已安装"})
+        _log(store, task_id, "[ERROR] 未找到 train.py / Python，无法启动真实训练", "error")
+    except Exception as exc:  # noqa: BLE001
+        store.update_task_runtime(task_id, status="failed", extra={"error_message": str(exc)})
+        _log(store, task_id, f"[ERROR] 训练异常: {exc}", "error")
+    finally:
+        _running_processes.pop(task_id, None)
+
+
+# ──────────────────────────────────────────────
+# 进程信号控制
+# ──────────────────────────────────────────────
+def _signal(task_id: str, sig: int) -> bool:
+    process = _running_processes.get(task_id)
+    if not process:
+        return False
+    try:
+        try:
+            pgid = os.getpgid(process.pid)
+            os.killpg(pgid, sig)
+        except (ProcessLookupError, PermissionError):
+            process.send_signal(sig)
+        return True
+    except Exception:
+        return False
+
+
+def pause(task_id: str) -> bool:
+    ok = _signal(task_id, signal.SIGSTOP)
+    if ok:
+        get_platform_store().update_task_runtime(task_id, status="paused")
+        _log(get_platform_store(), task_id, "[INFO] 训练已暂停", "info")
+    return ok
+
+
+def resume(task_id: str) -> bool:
+    ok = _signal(task_id, signal.SIGCONT)
+    if ok:
+        get_platform_store().update_task_runtime(task_id, status="running")
+        _log(get_platform_store(), task_id, "[INFO] 训练已继续", "info")
+    return ok
+
+
+def cancel(task_id: str) -> bool:
+    ok = _signal(task_id, signal.SIGKILL)
+    if ok:
+        get_platform_store().update_task_runtime(task_id, status="failed", extra={"error_message": "用户中断训练"})
+        _log(get_platform_store(), task_id, "[WARN] 用户中断了训练", "warn")
+    return ok
+
+
+def _plot_loss_curve(task_id: str, output_dir: str, has_eval: bool = False) -> None:
+    try:
+        import matplotlib
+        matplotlib.use("Agg")
+        import matplotlib.pyplot as plt
+
+        state_file = Path(output_dir) / "trainer_state.json"
+        if not state_file.exists():
+            return
+        state = json.loads(state_file.read_text(encoding="utf-8"))
+        log_history = state.get("log_history", [])
+        if not log_history:
+            return
+        train_steps, train_losses, eval_steps, eval_losses = [], [], [], []
+        for entry in log_history:
+            if "loss" in entry and "step" in entry:
+                train_steps.append(entry["step"])
+                train_losses.append(entry["loss"])
+            if has_eval and "eval_loss" in entry and "step" in entry:
+                eval_steps.append(entry["step"])
+                eval_losses.append(entry["eval_loss"])
+        if not train_losses:
+            return
+        fig, ax = plt.subplots(figsize=(10, 5))
+        ax.plot(train_steps, train_losses, label="Training Loss", color="#409eff", linewidth=1.5)
+        ax.axhline(y=min(train_losses), color="#67c23a", linestyle="--", alpha=0.5,
+                   label=f"Min: {min(train_losses):.4f}")
+        if eval_losses:
+            ax.plot(eval_steps, eval_losses, label="Validation Loss", color="#f56c6c",
+                    linewidth=1.5, marker="o", markersize=3)
+        ax.set_xlabel("Step")
+        ax.set_ylabel("Loss")
+        ax.set_title("Training Loss Curve")
+        ax.legend()
+        ax.grid(True, alpha=0.3)
+        save_path = Path(output_dir) / "loss_curve.png"
+        fig.savefig(str(save_path), dpi=150, bbox_inches="tight")
+        plt.close(fig)
+        _log(get_platform_store(), task_id, f"Loss 曲线已保存: {save_path}")
+    except Exception:
+        pass

backend/app/modules/fine_tune/service.py

@@ -0,0 +1,79 @@
+"""
+模型训练业务编排（移植自模型服务 projects/backend 的 training_service）
+
+- preset 参数预设（quick / standard / high）
+- train_type → stage 映射（sft/dpo/cpt/cot）
+- 训练任务的启动 / 暂停 / 恢复 / 取消（委托 runner 真实执行）
+"""
+from __future__ import annotations
+
+import threading
+from typing import Any
+
+from app.db.platform_store import get_platform_store
+from app.modules.fine_tune import runner
+
+PRESETS: dict[str, dict[str, Any]] = {
+    "quick": {"learning_rate": "5e-5", "n_epochs": 1, "batch_size": 4, "lora_rank": 8},
+    "standard": {"learning_rate": "2e-5", "n_epochs": 3, "batch_size": 8, "lora_rank": 16},
+    "high": {"learning_rate": "1e-5", "n_epochs": 5, "batch_size": 4, "lora_rank": 32},
+}
+
+
+def apply_presets(payload: dict[str, Any]) -> dict[str, Any]:
+    """根据 preset 字段补全缺失的超参；preset=custom 时不覆盖。"""
+    payload = dict(payload)
+    preset = payload.get("preset", "standard")
+    if preset in PRESETS and payload.get("preset") != "custom":
+        for key, value in PRESETS[preset].items():
+            payload.setdefault(key, value)
+    return payload
+
+
+def build_training_config(payload: dict[str, Any]) -> dict[str, Any]:
+    """把前端创建/启动载荷标准化为执行器可消费的 config。"""
+    payload = apply_presets(dict(payload))
+    gpus = payload.get("gpus") or [0]
+    return {
+        "name": payload.get("name", ""),
+        "description": payload.get("description", ""),
+        "train_type": payload.get("train_type", "SFT"),
+        "train_method": payload.get("train_method", "lora"),
+        "template": payload.get("template", "qwen"),
+        "base_model": payload.get("base_model", "") or payload.get("base_model_id", ""),
+        "train_dataset_id": payload.get("train_dataset_id", ""),
+        "eval_dataset_id": payload.get("eval_dataset_id", ""),
+        "auto_merge": bool(payload.get("auto_merge", False)),
+        "output_model_name": payload.get("output_model_name", ""),
+        "gpus": gpus,
+        "num_gpus": payload.get("num_gpus", len(gpus)),
+        "batch_size": payload.get("batch_size", 2),
+        "learning_rate": payload.get("learning_rate", 0.0002),
+        "n_epochs": payload.get("n_epochs", 3),
+        "save_steps": payload.get("save_steps", 50),
+        "lr_scheduler_type": payload.get("lr_scheduler_type", "cosine"),
+        "max_length": payload.get("max_length", 2048),
+        "warmup_ratio": payload.get("warmup_ratio", 0.03),
+        "weight_decay": payload.get("weight_decay", 0.01),
+        "lora_rank": payload.get("lora_rank", 8),
+        "lora_alpha": payload.get("lora_alpha", 16),
+        "lora_dropout": payload.get("lora_dropout", 0.05),
+        "resume_from": payload.get("resume_from"),
+    }
+
+
+def launch_training(task_id: str) -> None:
+    """在后台线程启动真实训练。"""
+    threading.Thread(target=runner.run_training, args=(task_id,), daemon=True).start()
+
+
+def pause(task_id: str) -> bool:
+    return runner.pause(task_id)
+
+
+def resume(task_id: str) -> bool:
+    return runner.resume(task_id)
+
+
+def cancel(task_id: str) -> bool:
+    return runner.cancel(task_id)

backend/app/modules/inference/__init__.py

@@ -0,0 +1 @@
+"""Inference and compare module."""

backend/app/modules/model/__init__.py

@@ -0,0 +1 @@
+"""Model registry module."""

backend/app/modules/project/__init__.py

@@ -0,0 +1 @@
+from app.modules.project.router import router

backend/app/modules/project/router.py

@@ -0,0 +1,170 @@
+from __future__ import annotations
+
+from fastapi import APIRouter, Body, Request
+from typing import Any
+
+from app.api.v1.endpoints.platform import ok, fail
+from app.db.platform_store import get_platform_store
+
+router = APIRouter(prefix="/projects", tags=["project"])
+
+
+def _actor(request: Request) -> str | None:
+    auth = request.headers.get("Authorization", "")
+    token = auth.replace("Bearer ", "").strip()
+    return token or None
+
+
+def _require_no_pending_approval(resource_type: str, resource_id: str) -> None:
+    """第 4 周：写操作审批拦截——存在待审批实例时拒绝执行。"""
+    store = get_platform_store()
+    pending = [
+        i for i in store.approval_instances(status="pending")
+        if i["resource_type"] == resource_type and i["resource_id"] == resource_id
+    ]
+    if pending:
+        raise fail(409, "存在待审批的变更，请先完成审批")
+
+
+@router.get("")
+def list_projects(
+    tenant_id: str = "default",
+    status: str | None = None,
+    keyword: str | None = None,
+) -> dict[str, Any]:
+    return ok(
+        get_platform_store().projects(
+            tenant_id=tenant_id, status=status, keyword=keyword
+        )
+    )
+
+
+@router.post("")
+def create_project(payload: dict[str, Any] = Body(...), request: Request = None) -> dict[str, Any]:
+    store = get_platform_store()
+    proj = store.create_project(payload)
+    store.record_audit(
+        action="project.create",
+        actor_id=_actor(request) if request else None,
+        target_type="project",
+        target_id=proj["id"],
+        tenant_id=proj.get("tenant_id"),
+        detail=f"name={proj.get('name')}",
+    )
+    return ok(proj)
+
+
+@router.get("/{project_id}")
+def get_project(project_id: str) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().project(project_id))
+    except KeyError:
+        raise fail(404, "project not found")
+
+
+@router.put("/{project_id}")
+def update_project(project_id: str, payload: dict[str, Any] = Body(...), request: Request = None) -> dict[str, Any]:
+    store = get_platform_store()
+    try:
+        proj = store.update_project(project_id, payload)
+    except KeyError:
+        raise fail(404, "project not found")
+    store.record_audit(
+        action="project.update",
+        actor_id=_actor(request) if request else None,
+        target_type="project",
+        target_id=project_id,
+        tenant_id=proj.get("tenant_id"),
+        detail=f"fields={','.join(payload.keys())}",
+    )
+    return ok(proj)
+
+
+@router.post("/{project_id}/archive")
+def archive_project(project_id: str, request: Request = None) -> dict[str, Any]:
+    _require_no_pending_approval("project", project_id)
+    store = get_platform_store()
+    try:
+        proj = store.archive_project(project_id)
+    except KeyError:
+        raise fail(404, "project not found")
+    store.record_audit(
+        action="project.archive",
+        actor_id=_actor(request) if request else None,
+        target_type="project",
+        target_id=project_id,
+        tenant_id=proj.get("tenant_id"),
+    )
+    return ok(proj)
+
+
+@router.delete("/{project_id}")
+def delete_project(project_id: str, request: Request = None) -> dict[str, Any]:
+    _require_no_pending_approval("project", project_id)
+    store = get_platform_store()
+    store.delete_project(project_id)
+    store.record_audit(
+        action="project.delete",
+        actor_id=_actor(request) if request else None,
+        target_type="project",
+        target_id=project_id,
+    )
+    return ok(None)
+
+
+@router.get("/{project_id}/members")
+def list_members(project_id: str) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().project_members(project_id))
+    except KeyError:
+        raise fail(404, "project not found")
+
+
+@router.post("/{project_id}/members")
+def add_member(project_id: str, payload: dict[str, Any] = Body(...), request: Request = None) -> dict[str, Any]:
+    store = get_platform_store()
+    try:
+        member = store.add_project_member(project_id, payload)
+    except KeyError:
+        raise fail(404, "project not found")
+    store.record_audit(
+        action="project.member.add",
+        actor_id=_actor(request) if request else None,
+        target_type="project.member",
+        target_id=project_id,
+        detail=f"user_id={payload.get('user_id')},role={payload.get('role')}",
+    )
+    return ok(member)
+
+
+@router.put("/{project_id}/members/{user_id}")
+def update_member(
+    project_id: str, user_id: str, payload: dict[str, Any] = Body(...), request: Request = None
+) -> dict[str, Any]:
+    store = get_platform_store()
+    try:
+        member = store.update_project_member_role(project_id, user_id, payload)
+    except KeyError:
+        raise fail(404, "project or member not found")
+    store.record_audit(
+        action="project.member.update",
+        actor_id=_actor(request) if request else None,
+        target_type="project.member",
+        target_id=project_id,
+        detail=f"user_id={user_id},role={payload.get('role')}",
+    )
+    return ok(member)
+
+
+@router.delete("/{project_id}/members/{user_id}")
+def remove_member(project_id: str, user_id: str, request: Request = None) -> dict[str, Any]:
+    store = get_platform_store()
+    store.remove_project_member(project_id, user_id)
+    store.record_audit(
+        action="project.member.remove",
+        actor_id=_actor(request) if request else None,
+        target_type="project.member",
+        target_id=project_id,
+        detail=f"user_id={user_id}",
+    )
+    return ok(None)

backend/app/modules/resource/__init__.py

@@ -0,0 +1 @@
+from app.modules.resource.router import router

backend/app/modules/resource/router.py

@@ -0,0 +1,25 @@
+from __future__ import annotations
+
+from fastapi import APIRouter, Body
+from typing import Any
+
+from app.api.v1.endpoints.platform import ok, fail
+from app.db.platform_store import get_platform_store
+
+router = APIRouter(prefix="/resources", tags=["resource"])
+
+
+@router.get("/{resource_type}/{resource_id}/acl")
+def get_acl(resource_type: str, resource_id: str) -> dict[str, Any]:
+    return ok(get_platform_store().get_acl(resource_type, resource_id))
+
+
+@router.put("/{resource_type}/{resource_id}/acl")
+def set_acl(
+    resource_type: str, resource_id: str, payload: dict[str, Any] = Body(...)
+) -> dict[str, Any]:
+    return ok(
+        get_platform_store().set_acl(
+            resource_type, resource_id, payload.get("entries", [])
+        )
+    )

backend/app/modules/retention/__init__.py

@@ -0,0 +1 @@
+"""Retention policy and cleanup module."""

backend/app/modules/system/__init__.py

@@ -0,0 +1,3 @@
+from app.modules.system.router import router
+
+__all__ = ["router"]

backend/app/modules/system/router.py

@@ -0,0 +1,93 @@
+from __future__ import annotations
+
+from fastapi import APIRouter, Query
+from fastapi.responses import StreamingResponse
+
+from app.db.platform_store import ALL_PERMISSIONS, get_platform_store
+
+
+router = APIRouter(prefix="/system", tags=["system"])
+
+
+@router.get("/permissions/codes")
+def permission_codes() -> dict:
+    """返回平台权限码清单（权限码接口）。"""
+    return {"code": 0, "message": "ok", "data": {"codes": ALL_PERMISSIONS}}
+
+
+@router.get("/permissions")
+def permissions_overview() -> dict:
+    """返回权限码清单与角色定义。"""
+    store = get_platform_store()
+    return {
+        "code": 0,
+        "message": "ok",
+        "data": {"codes": ALL_PERMISSIONS, "roles": store.roles()},
+    }
+
+
+@router.get("/audit-logs")
+def audit_logs(
+    tenant_id: str | None = Query(default=None, description="租户 ID"),
+    project_id: str | None = Query(default=None, description="项目 ID"),
+    actor_id: str | None = Query(default=None, description="操作人 ID"),
+    action: str | None = Query(default=None, description="动作类型"),
+    target_type: str | None = Query(default=None, description="目标类型"),
+    start_time: str | None = Query(default=None, description="ISO8601 起始时间"),
+    end_time: str | None = Query(default=None, description="ISO8601 结束时间"),
+    limit: int = Query(default=50, ge=1, le=200),
+    offset: int = Query(default=0, ge=0),
+) -> dict:
+    """审计日志查询：按租户/项目/操作人/动作/目标类型/时间范围分页过滤。"""
+    store = get_platform_store()
+    result = store.audit_logs(
+        tenant_id=tenant_id,
+        project_id=project_id,
+        actor_id=actor_id,
+        action=action,
+        target_type=target_type,
+        start_time=start_time,
+        end_time=end_time,
+        limit=limit,
+        offset=offset,
+    )
+    return {"code": 0, "message": "ok", "data": result}
+
+
+@router.get("/audit-logs/export")
+def audit_logs_export(
+    tenant_id: str | None = Query(default=None, description="租户 ID"),
+    project_id: str | None = Query(default=None, description="项目 ID"),
+    actor_id: str | None = Query(default=None, description="操作人 ID"),
+    action: str | None = Query(default=None, description="动作类型"),
+    target_type: str | None = Query(default=None, description="目标类型"),
+    start_time: str | None = Query(default=None, description="ISO8601 起始时间"),
+    end_time: str | None = Query(default=None, description="ISO8601 结束时间"),
+) -> StreamingResponse:
+    """审计日志导出：返回 CSV 流，与应用查询相同的过滤条件。"""
+    store = get_platform_store()
+    result = store.audit_logs(
+        tenant_id=tenant_id,
+        project_id=project_id,
+        actor_id=actor_id,
+        action=action,
+        target_type=target_type,
+        start_time=start_time,
+        end_time=end_time,
+        limit=10000,
+        offset=0,
+    )
+    items = result["items"]
+    columns = ["time", "tenant_id", "project_id", "actor_id", "action", "target_type", "target_id", "detail", "client_ip"]
+    header = ",".join(columns) + "\n"
+
+    def iter_rows():
+        yield header
+        for row in items:
+            yield ",".join(f'"{str(row.get(c, "") or "")}"' for c in columns) + "\n"
+
+    return StreamingResponse(
+        iter_rows(),
+        media_type="text/csv",
+        headers={"Content-Disposition": "attachment; filename=audit_logs.csv"},
+    )

backend/app/modules/tenant/__init__.py

@@ -0,0 +1 @@
+from app.modules.tenant.router import router

backend/app/modules/tenant/router.py

@@ -0,0 +1,98 @@
+from __future__ import annotations
+
+from fastapi import APIRouter, Body, Request
+from typing import Any
+
+from app.api.v1.endpoints.platform import ok, fail
+from app.db.platform_store import get_platform_store
+
+router = APIRouter(prefix="/tenants", tags=["tenant"])
+
+
+def _actor(request: Request) -> str | None:
+    auth = request.headers.get("Authorization", "")
+    token = auth.replace("Bearer ", "").strip()
+    return token or None
+
+
+@router.get("")
+def list_tenants() -> dict[str, Any]:
+    return ok(get_platform_store().tenants())
+
+
+@router.post("")
+def create_tenant(payload: dict[str, Any] = Body(...), request: Request = None) -> dict[str, Any]:
+    store = get_platform_store()
+    try:
+        tenant = store.create_tenant(payload)
+    except KeyError as e:
+        raise fail(400, f"missing field: {e}")
+    store.record_audit(
+        action="tenant.create",
+        actor_id=_actor(request) if request else None,
+        target_type="tenant",
+        target_id=tenant["id"],
+        tenant_id=tenant["id"],
+        detail=f"name={tenant.get('name')}",
+    )
+    return ok(tenant)
+
+
+@router.get("/{tenant_id}")
+def get_tenant(tenant_id: str) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().tenant(tenant_id))
+    except KeyError:
+        raise fail(404, "tenant not found")
+
+
+@router.put("/{tenant_id}")
+def update_tenant(tenant_id: str, payload: dict[str, Any] = Body(...), request: Request = None) -> dict[str, Any]:
+    store = get_platform_store()
+    try:
+        tenant = store.update_tenant(tenant_id, payload)
+    except KeyError:
+        raise fail(404, "tenant not found")
+    store.record_audit(
+        action="tenant.update",
+        actor_id=_actor(request) if request else None,
+        target_type="tenant",
+        target_id=tenant_id,
+        tenant_id=tenant_id,
+        detail=f"fields={','.join(payload.keys())}",
+    )
+    return ok(tenant)
+
+
+@router.put("/{tenant_id}/quota")
+def set_quota(tenant_id: str, payload: dict[str, Any] = Body(...), request: Request = None) -> dict[str, Any]:
+    store = get_platform_store()
+    try:
+        tenant = store.set_tenant_quota(tenant_id, payload.get("quota", {}))
+    except KeyError:
+        raise fail(404, "tenant not found")
+    store.record_audit(
+        action="tenant.quota.set",
+        actor_id=_actor(request) if request else None,
+        target_type="tenant",
+        target_id=tenant_id,
+        tenant_id=tenant_id,
+    )
+    return ok(tenant)
+
+
+@router.put("/{tenant_id}/retention-policy")
+def set_retention(tenant_id: str, payload: dict[str, Any] = Body(...), request: Request = None) -> dict[str, Any]:
+    store = get_platform_store()
+    try:
+        tenant = store.set_tenant_retention(tenant_id, payload.get("retention_policy_id"))
+    except KeyError:
+        raise fail(404, "tenant not found")
+    store.record_audit(
+        action="tenant.retention.set",
+        actor_id=_actor(request) if request else None,
+        target_type="tenant",
+        target_id=tenant_id,
+        tenant_id=tenant_id,
+    )
+    return ok(tenant)

backend/app/schemas/__init__.py

@@ -0,0 +1 @@
+"""Shared schemas package."""

backend/app/services/__init__.py

@@ -0,0 +1 @@
+"""Cross-module services package."""

backend/app/workers/__init__.py

@@ -0,0 +1 @@
+"""Background workers package."""

backend/pyproject.toml

@@ -0,0 +1,32 @@
+[project]
+name = "yg-ft-backend"
+version = "0.1.0"
+description = "Backend service for the model fine-tuning platform"
+requires-python = ">=3.12"
+dependencies = [
+  "fastapi>=0.111.0",
+  "uvicorn[standard]>=0.30.0",
+  "python-multipart>=0.0.9",
+  "pydantic>=2.7.0",
+  "sqlalchemy>=2.0.30",
+  "psycopg[binary]>=3.2.1",
+  "alembic>=1.13.1",
+  "redis>=5.0.4",
+  "httpx>=0.27.0",
+  "PyJWT>=2.8.0",
+  "passlib[bcrypt]>=1.7.4",
+  "python-dotenv>=1.0.1",
+]
+
+[project.optional-dependencies]
+dev = [
+  "pytest>=8.2.0",
+  "ruff>=0.5.0",
+]
+
+[tool.ruff]
+line-length = 100
+target-version = "py312"
+
+[tool.pytest.ini_options]
+testpaths = ["tests"]

backend/requirements.txt

@@ -0,0 +1,12 @@
+fastapi>=0.111.0
+uvicorn[standard]>=0.30.0
+python-multipart>=0.0.9
+pydantic>=2.7.0
+sqlalchemy>=2.0.30
+psycopg[binary]>=3.2.1
+alembic>=1.13.1
+redis>=5.0.4
+httpx>=0.27.0
+PyJWT>=2.8.0
+passlib[bcrypt]>=1.7.4
+python-dotenv>=1.0.1

backend/tests/test_auth_service.py

@@ -0,0 +1,22 @@
+"""A 模块（平台基础与企业治理）第 1 周：鉴权与权限码基础测试。
+
+不需要数据库连接，可直接运行：
+    cd backend && python -m pytest tests/test_auth_service.py -q
+"""
+from app.db.platform_store import ALL_PERMISSIONS
+from app.modules.auth.service import create_access_token, decode_access_token
+
+
+def test_token_roundtrip():
+    token = create_access_token("u_abc")
+    assert decode_access_token(token) == "u_abc"
+
+
+def test_decode_invalid_token_returns_none():
+    assert decode_access_token("not.a.valid.token") is None
+
+
+def test_permission_codes_present():
+    for code in ("dashboard", "fine-tune", "model-manage", "user-settings", "logs"):
+        assert code in ALL_PERMISSIONS
+    assert len(ALL_PERMISSIONS) >= 12

backend/train.py

@@ -0,0 +1,27 @@
+# Copyright 2025 the LlamaFactory team.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from llamafactory.train.tuner import run_exp
+
+def main():
+    run_exp()
+
+
+def _mp_fn(index):
+    # For xla_spawn (TPUs)
+    run_exp()
+
+
+if __name__ == "__main__":
+    main()