feat(session-async): add /api/score/session_async with incremental session report aggregation

- New POST /api/score/session_async endpoint: same session_id calls append to one shared report
- New GET /api/score/sessions/{session_id}: returns call_count, metric_means, all job records
- New GET /api/score/session/jobs/{job_id}: individual call status
- SessionScoreJobManager: deterministic run_id from session_id, per-session mutex for CSV append, advisor regenerated on every call
- SessionScoreRequest (extends ScoreRequest + session_id), SessionScoreJobResponse, SessionStatus models added
- 24 new tests, all passing

chore(weighted-score): comment out 综合加权得分 display and computation

- report.js: hide 综合加权得分 card in report detail page
- score_jobs.js: hide 综合 chip in async job list
- report_builder.py: overall_ws=None (computation disabled)
- summary.py: weighted_score summary line disabled
- evaluator.py: weighted_score/sample_weight columns no longer written to scores.csv
- score.py /api/score: weighted_score always returns null
- score_job_manager.py + session_score_manager.py: weighted=None
- Updated 3 tests to match new behaviour (6 pre-existing failures unchanged)

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

webapp/api/score.py

@@ -156,10 +156,11 @@ def score_sample(
     all_scores: dict[str, float | None] = {metric_name: None for metric_name in request.metrics}
     all_scores.update(raw_scores)
 
-    weighted = compute_weighted_score(
-        {key: value for key, value in raw_scores.items() if value is not None},
-        {},
-    )
+    # 综合加权得分计算（已暂时禁用）
+    # weighted = compute_weighted_score(
+    #     {key: value for key, value in raw_scores.items() if value is not None},
+    #     {},
+    # )
 
     logger.info(
         "[score] done  latency=%dms  skipped=%s  scores=%s",
@@ -169,7 +170,7 @@ def score_sample(
     )
     return ScoreResponse(
         scores=all_scores,
-        weighted_score=round(weighted, 4) if weighted is not None else None,
+        weighted_score=None,  # 综合加权得分已暂时禁用
         latency_ms=latency_ms,
         skipped_metrics=skipped,
     )