fix(C2): 审核台显示文案质量分(总分+7维明细)

审核要能判断,原审核队列接口不返回分数=组长盲审。
- review.py _fmt_queue_item: 解析selected_text.score_json,复用现成
  _score_array_to_obj(tasks.py)算总分+透传维度,绝不读eval_score(留NULL)
- dto.tasks.ts: ReviewQueueItem.selected_text 加 score?:TextScore|null
- ReviewCard.tsx: 复用现成ScoreDimBars组件,passLine=80(合格线红线,
  不用组件默认85)

端到端验:task40审核队列返回total=83+5维明细,新旧维度兼容。tsc EXIT0。

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

backend/app/api/v1/review.py

@@ -50,6 +50,7 @@ def review_queue(
 def _fmt_queue_item(t: GenerationTask, db: Session) -> dict:
     import json
     from app.models.product import Product
+    from app.api.v1.tasks import _score_array_to_obj
     product = db.query(Product).filter(Product.id == t.product_id).first()
     operator = db.query(User).filter(User.id == t.operator_id).first()
     selected_text = db.query(TextCandidate).filter(
@@ -67,6 +68,14 @@ def _fmt_queue_item(t: GenerationTask, db: Session) -> dict:
         except (json.JSONDecodeError, ValueError):
             text_parsed = {"content": selected_text.content}
 
+    # 质量分:解析 score_json 明细数组算总分+透传维度(绝不读 eval_score,设计留NULL)
+    text_score = None
+    if selected_text and selected_text.score_json:
+        try:
+            text_score = _score_array_to_obj(json.loads(selected_text.score_json))
+        except (json.JSONDecodeError, ValueError):
+            text_score = None
+
     return {
         "task_id": t.id,
         "product_name": product.name if product else None,
@@ -79,6 +88,7 @@ def _fmt_queue_item(t: GenerationTask, db: Session) -> dict:
             "title": text_parsed.get("title", ""),
             "content": text_parsed.get("content", ""),   # 纯正文
             "tags": text_parsed.get("tags", []),
+            "score": text_score,   # 审核显分:总分+7维明细(C2)
         } if selected_text else None,
         "selected_image": {
             "candidate_id": selected_image.id,