feat(report): 形象深度诊断全链路——POST /reports/{id}/full 派生 tier=full 报告，复用 basic 输入与 32 维结果；full 流水线（无视觉阶段）LLM 扩写四大块（十二季定位/规则色板/4场景穿搭/30天计划），三重校验+语义重试+规则兜底降级；删除终身一次硬校验（40920 下线，重复生成由配额兜底）；validation 枚举一致性校验放宽（十二季词表）；迁移 0003 SSOT 补 full_report 规则行

apps/api/routers/reports.py

@@ -197,6 +197,23 @@ async def regenerate_report(
     return ok(_submit_payload(submission))
 
 
+@router.post(
+    "/{report_id}/full",
+    summary="生成深度诊断报告（基于该基础报告派生 tier=full，走 full_report 日配额）",
+)
+async def derive_full_report(
+    report_id: int,
+    payload: ReportRegenerateRequest,
+    user_id: CurrentUserId,
+    service: ReportServiceDep,
+) -> dict[str, object]:
+    request_key = payload.request_key or f"report-full:{user_id}:{report_id}:{uuid.uuid4().hex}"
+    submission = await service.derive_full_report(
+        user_id=user_id, report_id=report_id, request_key=request_key
+    )
+    return ok(_submit_payload(submission))
+
+
 @router.post(
     "/{report_id}/export", summary="导出形象报告 PDF（走 hd_export 日配额，tier2 熔断可拦）"
 )

apps/worker/report_tasks.py

@@ -213,7 +213,12 @@ async def _generate_report(task_id: int) -> dict[str, Any]:
 
         gateway = build_llm_gateway(settings)
         try:
-            stages = assemble_stages(settings)
+            if report.tier == "full":
+                # 深度诊断：复用 basic 报告的 derived_features，无视觉阶段，
+                # 文案/校验换 full 专用阶段（产出 result.full 四大块）。
+                stages = assemble_stages(settings, paths=settings.report_full_pipeline_stages)
+            else:
+                stages = assemble_stages(settings)
             ctx = ReportContext(
                 report=report,
                 report_input=report_input,