docs: add async score jobs implementation plan

2026-06-24 17:08:01 +08:00
parent 363e8b0f27
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--- a/docs/superpowers/plans/2026-06-24-async-score-jobs.md
+++ b/docs/superpowers/plans/2026-06-24-async-score-jobs.md
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+# 异步评分记录（Async Score Jobs）Implementation Plan
+
+> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking.
+
+**Goal:** 新增 `POST /api/score/async` 异步端点，结果持久化至 `outputs/score-jobs/`，并在前端新增「评分记录」页面展示。
+
+**Architecture:** 新建 `ScoreJobManager`（复用 `pipeline_task_manager` 线程池模式）在后台执行 `InlineScorer.score()`，写入 JSON 文件；新增三个 REST 端点；前端新增导航页加载并轮询记录。
+
+**Tech Stack:** Python 3.12, FastAPI, Pydantic v2, threading, Vanilla JS, pytest
+
+## Global Constraints
+
+- Python 3.12+，PEP 8，4 空格缩进，类型注解必须
+- 存储路径：`outputs/score-jobs/<job_id>.json`
+- 复用现有 `ScoreRequest`（含 `effective_metrics()` 和 `contexts_as_list()` 方法）
+- 复用现有 `InlineScorer.score()` 和 `compute_weighted_score()`
+- 所有测试用 pytest，不依赖真实 LLM
+
+---
+
+## 文件清单
+
+| 操作 | 文件 | 职责 |
+|------|------|------|
+| 新建 | `webapp/services/score_job_manager.py` | ScoreJobManager：线程池 + JSON 持久化 |
+| 新建 | `webapp/api/score_jobs.py` | 3 个端点路由 |
+| 新建 | `webapp/static/js/score_jobs.js` | 前端列表 + 轮询逻辑 |
+| 新建 | `tests/webapp/test_score_jobs_api.py` | API 集成测试 |
+| 修改 | `webapp/models.py` | 新增 `AsyncScoreJobStatus`、`AsyncScoreJobResponse` |
+| 修改 | `webapp/server.py` | 注册 score_jobs router，更新 OPENAPI_TAGS 和 description |
+| 修改 | `webapp/static/index.html` | 新增导航项 + `#view-scorejobs` section |
+| 修改 | `webapp/static/js/api.js` | 新增 `scoreJobsAsync()`、`getScoreJob()`、`listScoreJobs()` |
+| 修改 | `webapp/static/js/app.js` | 注册 `scorejobs` 视图、加载调用 |
+
+---
+
+## Task 1: Pydantic 模型 + ScoreJobManager
+
+**Files:**
+- Modify: `webapp/models.py`
+- Create: `webapp/services/score_job_manager.py`
+- Create: `tests/webapp/test_score_jobs_api.py` (partial)
+
+**Interfaces:**
+- Produces:
+  - `AsyncScoreJobStatus` Pydantic model
+  - `AsyncScoreJobResponse` Pydantic model
+  - `score_job_manager: ScoreJobManager` singleton
+  - `ScoreJobManager.submit(request: ScoreRequest) -> AsyncScoreJobStatus`
+  - `ScoreJobManager.get(job_id: str) -> AsyncScoreJobStatus | None`
+  - `ScoreJobManager.list_jobs() -> list[AsyncScoreJobStatus]`
+
+- [ ] **Step 1: Add models to `webapp/models.py`**
+
+Append after `AsyncScoreJobResponse` (at the end of the file, after `ScoreResponse`):
+
+```python
+# ---------------------------------------------------------------------------
+# 异步评分记录模型
+# ---------------------------------------------------------------------------
+
+class AsyncScoreJobResponse(BaseModel):
+    """Immediate response after submitting an async score job."""
+
+    job_id: str = Field(description="任务唯一标识符，用于后续查询结果。")
+    status: str = Field(default="queued", description="初始状态：queued。")
+
+
+class AsyncScoreJobStatus(BaseModel):
+    """Full state of one async score job, persisted to disk."""
+
+    job_id: str = Field(description="任务唯一标识符。")
+    status: str = Field(description="queued | running | completed | failed")
+    created_at: str = Field(default="", description="创建时间（ISO 8601 UTC）。")
+    finished_at: str = Field(default="", description="完成时间（ISO 8601 UTC）。")
+    request_summary: dict = Field(
+        default_factory=dict,
+        description="请求参数快照（question 前80字、metrics、judge_model 等）。",
+    )
+    scores: dict[str, float | None] = Field(default_factory=dict, description="各指标得分。")
+    weighted_score: float | None = Field(default=None, description="加权综合得分。")
+    latency_ms: int = Field(default=0, description="评分耗时毫秒。")
+    skipped_metrics: list[str] = Field(default_factory=list)
+    error: str | None = Field(default=None)
+```
+
+- [ ] **Step 2: Write failing tests**
+
+Create `tests/webapp/test_score_jobs_api.py`:
+
+```python
+"""Tests for async score jobs API."""
+from __future__ import annotations
+import json
+import time
+import pytest
+from unittest.mock import MagicMock, patch
+from fastapi.testclient import TestClient
+
+
+@pytest.fixture()
+def client(tmp_path, monkeypatch):
+    import webapp.services.score_job_manager as mgr_mod
+    from webapp.services.score_job_manager import ScoreJobManager
+    fresh_mgr = ScoreJobManager(jobs_dir=tmp_path / "score-jobs")
+    monkeypatch.setattr(mgr_mod, "score_job_manager", fresh_mgr)
+    import webapp.api.score_jobs as api_mod
+    monkeypatch.setattr(api_mod, "score_job_manager", fresh_mgr)
+    from webapp.server import create_app
+    return TestClient(create_app())
+
+
+class TestScoreJobManager:
+    def test_submit_returns_job_status_with_queued(self, tmp_path):
+        from webapp.services.score_job_manager import ScoreJobManager
+        from webapp.models import ScoreRequest
+        mgr = ScoreJobManager(jobs_dir=tmp_path / "jobs")
+        req = ScoreRequest(question="q", answer="a", metrics=["answer_relevancy"])
+        with patch.object(mgr, "_execute") as mock_exec:
+            mock_exec.return_value = None
+            status = mgr.submit(req)
+        assert status.status in ("queued", "running", "completed")
+        assert len(status.job_id) > 0
+
+    def test_get_returns_none_for_unknown_id(self, tmp_path):
+        from webapp.services.score_job_manager import ScoreJobManager
+        mgr = ScoreJobManager(jobs_dir=tmp_path / "jobs")
+        assert mgr.get("nonexistent") is None
+
+    def test_list_returns_empty_initially(self, tmp_path):
+        from webapp.services.score_job_manager import ScoreJobManager
+        mgr = ScoreJobManager(jobs_dir=tmp_path / "jobs")
+        assert mgr.list_jobs() == []
+
+    def test_completed_job_persisted_to_disk(self, tmp_path):
+        from webapp.services.score_job_manager import ScoreJobManager
+        from webapp.models import ScoreRequest
+        mgr = ScoreJobManager(jobs_dir=tmp_path / "jobs", max_workers=1)
+        req = ScoreRequest(question="q?", answer="a.", metrics=["answer_relevancy"])
+        mock_scorer = MagicMock()
+        mock_scorer.score.return_value = {"answer_relevancy": 0.85}
+        with patch("webapp.services.score_job_manager.inline_scorer", mock_scorer):
+            with patch("webapp.services.score_job_manager.EvaluationSettings"):
+                status = mgr.submit(req)
+        for _ in range(20):
+            s = mgr.get(status.job_id)
+            if s and s.status in ("completed", "failed"):
+                break
+            time.sleep(0.2)
+        s = mgr.get(status.job_id)
+        assert s is not None
+        json_path = tmp_path / "jobs" / f"{status.job_id}.json"
+        assert json_path.exists()
+        data = json.loads(json_path.read_text(encoding="utf-8"))
+        assert data["job_id"] == status.job_id
+```
+
+- [ ] **Step 3: Run to verify FAIL**
+
+```
+cd C:\Projects\AIProjects\Siemens-AIPOC\siemens_ragas
+python -m pytest tests/webapp/test_score_jobs_api.py::TestScoreJobManager -v
+```
+Expected: `ModuleNotFoundError: No module named 'webapp.services.score_job_manager'`
+
+- [ ] **Step 4: Create `webapp/services/score_job_manager.py`**
+
+```python
+"""Background task manager for async RAGAS single-sample scoring.
+
+Each job runs InlineScorer.score() in a thread pool and persists the
+result as a JSON file under outputs/score-jobs/<job_id>.json so results
+survive server restarts and can be listed by the frontend.
+"""
+
+from __future__ import annotations
+
+import json
+import math
+import threading
+import uuid
+from concurrent.futures import ThreadPoolExecutor
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import Any
+
+from rag_eval.metrics.weights import compute_weighted_score
+from rag_eval.settings import EvaluationSettings
+from webapp.models import AsyncScoreJobStatus, ScoreRequest
+from webapp.services.inline_scorer import inline_scorer
+
+_REPO_ROOT = Path(__file__).resolve().parents[2]
+_DEFAULT_JOBS_DIR = _REPO_ROOT / "outputs" / "score-jobs"
+
+
+def _now_iso() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+class ScoreJobManager:
+    """Thread-pool manager for async RAGAS scoring jobs with JSON persistence."""
+
+    def __init__(
+        self,
+        jobs_dir: Path = _DEFAULT_JOBS_DIR,
+        max_workers: int = 4,
+    ) -> None:
+        self._jobs_dir = Path(jobs_dir)
+        self._jobs_dir.mkdir(parents=True, exist_ok=True)
+        self._executor = ThreadPoolExecutor(max_workers=max_workers)
+        # In-memory index: job_id -> AsyncScoreJobStatus (authoritative while running)
+        self._cache: dict[str, AsyncScoreJobStatus] = {}
+        self._lock = threading.Lock()
+        self._load_existing()
+
+    # ------------------------------------------------------------------ #
+    # Public API
+    # ------------------------------------------------------------------ #
+
+    def submit(self, request: ScoreRequest) -> AsyncScoreJobStatus:
+        """Queue one scoring job and return its initial status immediately."""
+        job_id = uuid.uuid4().hex[:12]
+        status = AsyncScoreJobStatus(
+            job_id=job_id,
+            status="queued",
+            created_at=_now_iso(),
+            request_summary={
+                "question": request.question[:80],
+                "answer": (request.answer or "")[:80],
+                "metrics": list(request.metrics),
+                "judge_model": request.judge_model or "",
+                "embedding_model": request.embedding_model or "",
+                "has_contexts": bool(request.contexts),
+                "has_ground_truth": bool(request.ground_truth),
+            },
+        )
+        with self._lock:
+            self._cache[job_id] = status
+        self._persist(status)
+        self._executor.submit(self._run, job_id, request)
+        return status
+
+    def get(self, job_id: str) -> AsyncScoreJobStatus | None:
+        """Return the current status for one job, or None if unknown."""
+        with self._lock:
+            return self._cache.get(job_id)
+
+    def list_jobs(self) -> list[AsyncScoreJobStatus]:
+        """Return all known jobs sorted newest first."""
+        with self._lock:
+            jobs = list(self._cache.values())
+        jobs.sort(key=lambda j: j.created_at, reverse=True)
+        return jobs
+
+    # ------------------------------------------------------------------ #
+    # Internal
+    # ------------------------------------------------------------------ #
+
+    def _run(self, job_id: str, request: ScoreRequest) -> None:
+        """Execute scoring in the thread pool and persist the result."""
+        self._update(job_id, status="running")
+        settings = EvaluationSettings()
+        judge_model = request.judge_model or settings.ragas_judge_model
+        embedding_model = request.embedding_model or settings.ragas_embedding_model
+        effective = request.effective_metrics()
+        requested = set(request.metrics)
+        skipped = sorted(requested - set(effective))
+
+        import time as _time
+        t0 = _time.monotonic()
+        try:
+            if not effective:
+                scores: dict[str, float | None] = {m: None for m in request.metrics}
+                weighted = None
+            else:
+                raw = inline_scorer.score(
+                    question=request.question,
+                    answer=request.answer,
+                    contexts=request.contexts_as_list(),
+                    ground_truth=request.ground_truth,
+                    metrics=effective,
+                    judge_model=judge_model,
+                    embedding_model=embedding_model,
+                    settings=settings,
+                )
+                scores = {m: None for m in request.metrics}
+                scores.update(raw)
+                weighted_raw = compute_weighted_score(
+                    {k: v for k, v in raw.items() if v is not None}, {}
+                )
+                weighted = round(weighted_raw, 4) if weighted_raw is not None else None
+
+            latency_ms = int((_time.monotonic() - t0) * 1000)
+            self._update(
+                job_id,
+                status="completed",
+                finished_at=_now_iso(),
+                scores=scores,
+                weighted_score=weighted,
+                latency_ms=latency_ms,
+                skipped_metrics=skipped,
+            )
+        except Exception as exc:  # noqa: BLE001
+            latency_ms = int((_time.monotonic() - t0) * 1000)
+            self._update(
+                job_id,
+                status="failed",
+                finished_at=_now_iso(),
+                latency_ms=latency_ms,
+                error=f"{type(exc).__name__}: {exc}",
+            )
+
+    def _update(self, job_id: str, **kwargs: Any) -> None:
+        """Merge kwargs into the job status and persist."""
+        with self._lock:
+            existing = self._cache.get(job_id)
+            if existing is None:
+                return
+            updated = existing.model_copy(update=kwargs)
+            self._cache[job_id] = updated
+        self._persist(updated)
+
+    def _persist(self, status: AsyncScoreJobStatus) -> None:
+        """Write one job's status to its JSON file."""
+        path = self._jobs_dir / f"{status.job_id}.json"
+        path.write_text(
+            json.dumps(status.model_dump(), ensure_ascii=False, indent=2),
+            encoding="utf-8",
+        )
+
+    def _load_existing(self) -> None:
+        """Load completed jobs from disk into memory on startup."""
+        for path in sorted(self._jobs_dir.glob("*.json")):
+            try:
+                data = json.loads(path.read_text(encoding="utf-8"))
+                status = AsyncScoreJobStatus.model_validate(data)
+                self._cache[status.job_id] = status
+            except Exception:  # noqa: BLE001
+                pass  # Corrupt file — skip
+
+
+# Module-level singleton shared by FastAPI routes.
+score_job_manager = ScoreJobManager()
+```
+
+- [ ] **Step 5: Run to verify tests PASS**
+
+```
+python -m pytest tests/webapp/test_score_jobs_api.py::TestScoreJobManager -v
+```
+Expected: 4 tests PASS
+
+- [ ] **Step 6: Commit**
+
+```
+git add webapp/models.py webapp/services/score_job_manager.py tests/webapp/test_score_jobs_api.py
+git commit -m "feat: add AsyncScoreJobStatus model and ScoreJobManager with JSON persistence"
+```
+
+---
+
+## Task 2: API 端点
+
+**Files:**
+- Create: `webapp/api/score_jobs.py`
+- Modify: `webapp/server.py`
+- Modify: `tests/webapp/test_score_jobs_api.py`
+
+**Interfaces:**
+- Consumes: `score_job_manager: ScoreJobManager`, `AsyncScoreJobResponse`, `AsyncScoreJobStatus`, `ScoreRequest`
+- Produces: `POST /api/score/async`, `GET /api/score/jobs`, `GET /api/score/jobs/{job_id}`
+
+- [ ] **Step 1: Add API tests to `tests/webapp/test_score_jobs_api.py`**
+
+Append this class:
+
+```python
+class TestScoreJobsEndpoint:
+    def test_submit_async_returns_202(self, client):
+        with patch("webapp.services.score_job_manager.ScoreJobManager._execute"):
+            resp = client.post("/api/score/async", json={
+                "question": "q?", "answer": "a.",
+                "metrics": ["answer_relevancy"],
+            })
+        assert resp.status_code == 202
+        data = resp.json()
+        assert "job_id" in data
+        assert data["status"] == "queued"
+
+    def test_get_unknown_job_returns_404(self, client):
+        resp = client.get("/api/score/jobs/nonexistent")
+        assert resp.status_code == 404
+
+    def test_list_jobs_returns_empty_initially(self, client):
+        resp = client.get("/api/score/jobs")
+        assert resp.status_code == 200
+        assert resp.json()["jobs"] == []
+
+    def test_submitted_job_appears_in_list(self, client):
+        with patch("webapp.services.score_job_manager.ScoreJobManager._run"):
+            resp = client.post("/api/score/async", json={
+                "question": "q?", "answer": "a.",
+                "metrics": ["answer_relevancy"],
+            })
+        job_id = resp.json()["job_id"]
+        list_resp = client.get("/api/score/jobs")
+        ids = [j["job_id"] for j in list_resp.json()["jobs"]]
+        assert job_id in ids
+
+    def test_get_job_by_id(self, client):
+        with patch("webapp.services.score_job_manager.ScoreJobManager._run"):
+            resp = client.post("/api/score/async", json={
+                "question": "q?", "answer": "a.",
+                "metrics": ["answer_relevancy"],
+            })
+        job_id = resp.json()["job_id"]
+        get_resp = client.get(f"/api/score/jobs/{job_id}")
+        assert get_resp.status_code == 200
+        assert get_resp.json()["job_id"] == job_id
+```
+
+- [ ] **Step 2: Run to verify FAIL**
+
+```
+python -m pytest tests/webapp/test_score_jobs_api.py::TestScoreJobsEndpoint -v
+```
+Expected: FAIL — `ModuleNotFoundError: No module named 'webapp.api.score_jobs'`
+
+- [ ] **Step 3: Create `webapp/api/score_jobs.py`**
+
+```python
+"""Routes for async RAGAS scoring jobs (Dify fire-and-forget integration)."""
+
+from __future__ import annotations
+
+import logging
+
+from fastapi import APIRouter, HTTPException
+
+from webapp.models import AsyncScoreJobResponse, AsyncScoreJobStatus, ScoreRequest
+from webapp.services.score_job_manager import score_job_manager
+
+router = APIRouter(prefix="/api/score", tags=["score"])
+logger = logging.getLogger("webapp.api.score_jobs")
+
+
+@router.post(
+    "/async",
+    status_code=202,
+    response_model=AsyncScoreJobResponse,
+    summary="提交异步评分任务（Dify 推荐方式）",
+    responses={
+        202: {
+            "description": "任务已排队，立即返回 job_id。通过 GET /api/score/jobs/{job_id} 查询结果。",
+            "content": {
+                "application/json": {
+                    "example": {"job_id": "abc123def456", "status": "queued"}
+                }
+            },
+        },
+    },
+)
+def submit_async_score(request: ScoreRequest) -> AsyncScoreJobResponse:
+    """提交异步 RAGAS 评分任务，立即返回 job_id（202 Accepted）。
+
+    评分在后台线程中执行，结果持久化至 `outputs/score-jobs/<job_id>.json`。
+    在 RAGAS 平台「评分记录」页面可查看所有历史评分记录。
+
+    **Dify 工作流推荐使用此接口**：不等待评分完成，工作流立即继续，
+    避免 HTTP 节点超时。评分结果通过平台界面查看。
+    """
+    logger.info(
+        "[score_async] submit  metrics=%s  has_ctx=%s  has_gt=%s",
+        request.metrics, bool(request.contexts), bool(request.ground_truth),
+    )
+    status = score_job_manager.submit(request)
+    logger.info("[score_async] queued  job_id=%s", status.job_id)
+    return AsyncScoreJobResponse(job_id=status.job_id, status=status.status)
+
+
+@router.get(
+    "/jobs",
+    response_model=dict,
+    summary="列出所有评分记录",
+)
+def list_score_jobs() -> dict:
+    """返回所有异步评分记录，按创建时间倒序排列。"""
+    jobs = score_job_manager.list_jobs()
+    logger.info("[score_jobs] list  count=%d", len(jobs))
+    return {"jobs": [j.model_dump() for j in jobs]}
+
+
+@router.get(
+    "/jobs/{job_id}",
+    response_model=AsyncScoreJobStatus,
+    summary="查询评分记录详情",
+    responses={404: {"description": "指定 job_id 的评分记录不存在。"}},
+)
+def get_score_job(job_id: str) -> AsyncScoreJobStatus:
+    """返回一个异步评分任务的当前状态和结果。"""
+    status = score_job_manager.get(job_id)
+    if status is None:
+        raise HTTPException(status_code=404, detail=f"Score job not found: {job_id}")
+    return status
+```
+
+- [ ] **Step 4: Register router in `webapp/server.py`**
+
+Add import:
+```python
+from webapp.api import evaluations, llm_profiles, pipeline, runs, scenarios, score, score_jobs
+```
+
+Add after `app.include_router(score.router)`:
+```python
+    app.include_router(score_jobs.router)
+```
+
+Add entry to `OPENAPI_TAGS` before `"meta"`:
+```python
+    {
+        "name": "score",
+        "description": (
+            "**实时评分 API（同步）** — `POST /api/score`\n\n"
+            "**异步评分 API（Dify 推荐）** — `POST /api/score/async`\n\n"
+            "异步方式立即返回 job_id（202），评分在后台执行，结果在「评分记录」页查看。\n\n"
+            "**鉴权**：若 `.env` 中配置了 `SCORE_API_TOKEN`，需携带 "
+            "`Authorization: Bearer <token>` 请求头。"
+        ),
+    },
+```
+
+> Note: this replaces the existing `"score"` entry in `OPENAPI_TAGS`.
+
+- [ ] **Step 5: Verify no route conflict**
+
+```
+python -c "
+from webapp.server import create_app
+app = create_app()
+score_routes = [(r.path, list(getattr(r,'methods',[]))) for r in app.routes if 'score' in r.path]
+print(score_routes)
+"
+```
+Expected: shows `/api/score`, `/api/score/async`, `/api/score/jobs`, `/api/score/jobs/{job_id}`
+
+- [ ] **Step 6: Run API tests**
+
+```
+python -m pytest tests/webapp/test_score_jobs_api.py -v --tb=short
+```
+Expected: all 9 tests PASS
+
+- [ ] **Step 7: Commit**
+
+```
+git add webapp/api/score_jobs.py webapp/server.py tests/webapp/test_score_jobs_api.py
+git commit -m "feat: add POST /api/score/async and GET /api/score/jobs endpoints"
+```
+
+---
+
+## Task 3: 前端「评分记录」页
+
+**Files:**
+- Modify: `webapp/static/index.html`
+- Modify: `webapp/static/js/api.js`
+- Modify: `webapp/static/js/app.js`
+- Create: `webapp/static/js/score_jobs.js`
+
+**Interfaces:**
+- Consumes: `GET /api/score/jobs`, `GET /api/score/jobs/{job_id}`
+- Produces: `#view-scorejobs` section, `ScoreJobs` JS object
+
+- [ ] **Step 1: Add API methods to `webapp/static/js/api.js`**
+
+Add before the closing `};`:
+```javascript
+  // 异步评分记录 API
+  scoreJobsAsync(body) { return API.post("/api/score/async", body); },
+  getScoreJob(jobId) { return API.get(`/api/score/jobs/${encodeURIComponent(jobId)}`); },
+  listScoreJobs() { return API.get("/api/score/jobs"); },
+```
+
+- [ ] **Step 2: Add nav item and section to `webapp/static/index.html`**
+
+In the `<nav class="nav">` block, add after the `profiles` nav-item and before the `apidocs` nav-item:
+```html
+        <button class="nav-item" data-view="scorejobs">
+          <span class="nav-ico">📋</span><span>评分记录</span>
+        </button>
+```
+
+Add a new section before the `<!-- API 文档视图 -->` comment:
+```html
+      <!-- 评分记录视图 -->
+      <section class="view" id="view-scorejobs" hidden>
+        <div class="panel">
+          <div class="panel-head">
+            <h2>评分记录</h2>
+            <span class="muted" style="font-size:13px">来自 Dify 异步评分任务（POST /api/score/async）</span>
+          </div>
+        </div>
+        <div id="scorejobs-container"></div>
+        <div class="empty" id="scorejobs-empty" hidden>
+          <p>暂无评分记录。</p>
+          <p class="muted">在 Dify 工作流中调用 <code>POST /api/score/async</code> 后，记录将在此显示。</p>
+        </div>
+      </section>
+```
+
+- [ ] **Step 3: Create `webapp/static/js/score_jobs.js`**
+
+```javascript
+// score_jobs.js — 评分记录页面逻辑（异步 RAGAS 评分结果列表）
+
+const ScoreJobs = {
+  _pollTimers: {},   // job_id -> setInterval handle
+
+  async load() {
+    const container = document.getElementById("scorejobs-container");
+    const empty = document.getElementById("scorejobs-empty");
+    container.innerHTML = '<p class="muted">加载中…</p>';
+    try {
+      const data = await API.listScoreJobs();
+      const jobs = data.jobs || [];
+      container.innerHTML = "";
+      if (jobs.length === 0) {
+        empty.hidden = false;
+        return;
+      }
+      empty.hidden = true;
+      jobs.forEach(job => container.appendChild(ScoreJobs.renderRow(job)));
+      // Auto-poll any queued/running jobs
+      jobs.forEach(job => {
+        if (job.status === "queued" || job.status === "running") {
+          ScoreJobs._startPoll(job.job_id);
+        }
+      });
+    } catch (err) {
+      container.innerHTML = `<p class="muted">加载失败：${App.escape(err.message)}</p>`;
+    }
+  },
+
+  renderRow(job) {
+    const row = document.createElement("div");
+    row.className = "panel score-job-row";
+    row.id = `score-job-${job.job_id}`;
+    row.innerHTML = ScoreJobs._rowHtml(job);
+    return row;
+  },
+
+  _rowHtml(job) {
+    const time = App.shortTime(job.created_at);
+    const question = App.escape((job.request_summary?.question || "—").slice(0, 50));
+    const metrics = (job.request_summary?.metrics || []).join(", ");
+    const statusBadge = `<span class="badge ${job.status}">${job.status}</span>`;
+
+    let scoreHtml = "";
+    if (job.status === "completed") {
+      scoreHtml = Object.entries(job.scores || {})
+        .map(([k, v]) => {
+          const cls = App.scoreClass(v);
+          const text = v === null || v === undefined ? "n/a" : Number(v).toFixed(3);
+          return `<span class="metric-chip" title="${App.escape(k)}">${App.escape(App.shortMetric(k))} <b class="${cls}">${text}</b></span>`;
+        })
+        .join(" ");
+      if (job.weighted_score !== null && job.weighted_score !== undefined) {
+        const cls = App.scoreClass(job.weighted_score);
+        scoreHtml += ` <span class="metric-chip">综合 <b class="${cls}">${Number(job.weighted_score).toFixed(3)}</b></span>`;
+      }
+    } else if (job.status === "failed") {
+      scoreHtml = `<span class="muted" style="color:var(--bad)">${App.escape(job.error || "未知错误")}</span>`;
+    } else {
+      scoreHtml = `<span class="muted">评分中…</span>`;
+    }
+
+    return `
+      <div class="run-card-head">
+        <div class="run-card-title">${question}</div>
+        <div>${statusBadge}</div>
+      </div>
+      <div class="run-card-meta">
+        <div>指标：${App.escape(metrics)} · ${time} · ${job.latency_ms}ms</div>
+      </div>
+      <div class="run-card-metrics">${scoreHtml}</div>
+    `;
+  },
+
+  _startPoll(jobId) {
+    if (ScoreJobs._pollTimers[jobId]) return;
+    ScoreJobs._pollTimers[jobId] = setInterval(async () => {
+      try {
+        const job = await API.getScoreJob(jobId);
+        const el = document.getElementById(`score-job-${jobId}`);
+        if (el) el.innerHTML = ScoreJobs._rowHtml(job);
+        if (job.status === "completed" || job.status === "failed") {
+          clearInterval(ScoreJobs._pollTimers[jobId]);
+          delete ScoreJobs._pollTimers[jobId];
+        }
+      } catch (_e) {
+        clearInterval(ScoreJobs._pollTimers[jobId]);
+        delete ScoreJobs._pollTimers[jobId];
+      }
+    }, 5000);
+  },
+
+  stopAllPolls() {
+    Object.values(ScoreJobs._pollTimers).forEach(t => clearInterval(t));
+    ScoreJobs._pollTimers = {};
+  },
+};
+```
+
+- [ ] **Step 4: Update `webapp/static/js/app.js`**
+
+Add `"scorejobs"` to the `views` array and `titles` object:
+
+```javascript
+  views: ["runs", "new", "report", "profiles", "scorejobs", "apidocs"],
+  titles: { runs: "运行列表", new: "新建评估", report: "报告详情", profiles: "LLM 配置", scorejobs: "评分记录", apidocs: "API 文档" },
+```
+
+Add in `_doSwitch` after `if (view === "profiles") Profiles.load();`:
+```javascript
+    if (view === "scorejobs") ScoreJobs.load();
+```
+
+Add `ScoreJobs.stopAllPolls();` when switching away, in `_doSwitch` before view switching logic:
+```javascript
+    // Stop score job pollers when leaving the scorejobs view
+    if (App.activeView === "scorejobs" && view !== "scorejobs") ScoreJobs.stopAllPolls();
+```
+
+- [ ] **Step 5: Add script tag to `webapp/static/index.html`**
+
+Add before `<script src="/static/js/app.js"></script>`:
+```html
+  <script src="/static/js/score_jobs.js"></script>
+```
+
+- [ ] **Step 6: Verify server boots**
+
+```
+python -c "from webapp.server import create_app; create_app(); print('OK')"
+```
+Expected: `OK`
+
+Also verify HTML has all new elements:
+```
+python -c "
+c = open('webapp/static/index.html', encoding='utf-8').read()
+assert 'view-scorejobs' in c
+assert 'scorejobs-container' in c
+assert '评分记录' in c
+print('HTML OK')
+"
+```
+
+- [ ] **Step 7: Commit**
+
+```
+git add webapp/static/index.html webapp/static/js/api.js webapp/static/js/app.js webapp/static/js/score_jobs.js
+git commit -m "feat: add 评分记录 page with async score job list and auto-polling"
+```
+
+---
+
+## Task 4: 全量回归测试 + Dify 说明注释
+
+**Files:**
+- Modify: `webapp/static/js/score_jobs.js` (minor: add Dify curl comment at top)
+
+- [ ] **Step 1: Run full test suite**
+
+```
+python -m pytest tests/ -v --tb=short -q 2>&1 | tail -15
+```
+
+Pre-existing failures to ignore:
+- `test_normalize_sample_pdf_offline_smoke_row`
+- `test_evaluator_and_reporting_write_run_assets`
+- `test_question_generator_rejects_invalid_json`
+- `test_question_generator_rejects_non_list_samples`
+
+Any other failure is a regression — fix before proceeding.
+
+- [ ] **Step 2: Run targeted tests**
+
+```
+python -m pytest tests/webapp/test_score_jobs_api.py tests/webapp/test_score_api.py tests/test_pipeline.py -v --tb=short
+```
+Expected: all PASS
+
+- [ ] **Step 3: Final commit**
+
+```
+git add .
+git commit -m "feat: async score jobs complete — POST /api/score/async + 评分记录 page
+
+- ScoreJobManager: thread pool + JSON persistence (outputs/score-jobs/)
+- POST /api/score/async: 202 immediate response with job_id
+- GET /api/score/jobs + GET /api/score/jobs/{id}: query endpoints
+- Frontend: 评分记录 nav page with 5s auto-polling for pending jobs
+- Dify integration: change /api/score → /api/score/async, remove response parsing
+
+Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>"
+```