fix: PR#2233 followup - 修复3个线上bug

Bug1: ai_client.py 日志格式化TypeError
- timeout=%d 改为 timeout=%s
- 传 getattr(_req_timeout, "read", _req_timeout) 提取数值

Bug2: assembler.py store分支name兜底太激进
- 门头图name不再用brand（避免与brand字段重复显示）
- store_type有具体值时用store_type
- store_type为默认"店铺"时用"门店门头"

Bug3: reviewer超时后未正确降级放行
- reviewer.py: LLM审核失败时返回passed=True（降级放行）
- reviewer.py: _llm_review加try/except捕获异常返回None
- viral_video.py: passed=False但issues为空时（超时导致），降级放行

分支: fix/pr2233-followup

apps/worker/worker_app/tasks/viral_video.py

@@ -2072,18 +2072,27 @@ def _run_render_pipeline(job_id: str, session, repo, job) -> dict:
     try:
         review_result = _step_review(job, copy_result)
         if not review_result.get("passed", True):
-            _emit_progress(job_id, ViralVideoStage.REVIEW, 67.0, "审核未通过，正在自动重写...")
-            # #2040: Reviewer 已在 _step_review 内完成 1 次自动重写
-            rewritten = review_result.get("rewritten_copy")
-            if isinstance(rewritten, dict) and rewritten:
-                copy_result = rewritten
-            else:
-                # #2218: 审核重写失败不再从意图解析重跑，直接报错让用户重新生成文案
-                logger.error(
-                    "[爆款视频][阶段3] 合规审核未通过且自动重写失败 job_id=%s，终止渲染",
+            # #2233: 如果issues为空但passed=False，说明是LLM超时/异常导致的误判，降级放行
+            _issues = review_result.get("issues") or []
+            if not _issues:
+                logger.warning(
+                    "[爆款视频][阶段3] 审核未通过但无具体问题（可能LLM超时），降级放行 job_id=%s",
                     job_id,
                 )
-                raise ValueError("文案合规审核未通过，请修改文案后重试或重新生成文案")
+                review_result["passed"] = True
+            else:
+                _emit_progress(job_id, ViralVideoStage.REVIEW, 67.0, "审核未通过，正在自动重写...")
+                # #2040: Reviewer 已在 _step_review 内完成 1 次自动重写
+                rewritten = review_result.get("rewritten_copy")
+                if isinstance(rewritten, dict) and rewritten:
+                    copy_result = rewritten
+                else:
+                    # #2218: 审核重写失败不再从意图解析重跑，直接报错让用户重新生成文案
+                    logger.error(
+                        "[爆款视频][阶段3] 合规审核未通过且自动重写失败 job_id=%s，终止渲染",
+                        job_id,
+                    )
+                    raise ValueError("文案合规审核未通过，请修改文案后重试或重新生成文案")
             job.copy_result = copy_result
             job.generated_copy_text = copy_result.get("voiceover_script", "") or ""
             _save_job(repo, job, session)

apps/worker/worker_app/tasks/vision/assembler.py

@@ -681,8 +681,13 @@ def _assemble_v4(idx: int, fj: dict, ocr_texts: list[str]) -> dict[str, Any]:
                 brand = "无法判断"
         else:
             brand = brand_raw
-        # name兜底：store_type为空时用brand
-        name = store_type if store_type != "店铺" else (brand if brand != "无法判断" else store_type)
+        # name兜底：更保守的策略
+        # - store_type有具体值（非"店铺"）时直接用store_type
+        # - store_type为默认"店铺"时，用"门店门头"而非brand（避免与brand字段重复）
+        if store_type and store_type != "店铺":
+            name = store_type
+        else:
+            name = "门店门头"
         category = "门店场景"
         # appearance: store_layout + furnishings + 陈设色调
         appearance_parts = []

packages/application/viral_video/reviewer.py

@@ -70,8 +70,9 @@ class Reviewer:
         local = self._rule_check(fusion, intent, fusion_level)
         llm_result = self._llm_review(fusion, intent, fusion_level)
         if llm_result is None:
+            # LLM审核失败（超时/网络错误等），降级放行，不阻断渲染
             return ReviewResult(
-                passed=not local,
+                passed=True,
                 issues=local,
                 rewrite_suggestions=[],
                 raw="",
@@ -86,6 +87,17 @@ class Reviewer:
         )
 
     def _llm_review(self, fusion: FusionResult, intent: IntentResult, fusion_level: str) -> Optional[ReviewResult]:
+        try:
+            return self._llm_review_inner(fusion, intent, fusion_level)
+        except Exception as e:
+            import logging
+
+            logging.getLogger(__name__).warning("[Reviewer] LLM审核调用异常，降级放行: %s", e)
+            return None
+
+    def _llm_review_inner(
+        self, fusion: FusionResult, intent: IntentResult, fusion_level: str
+    ) -> Optional[ReviewResult]:
         template = get_template("review")
         system = render_system_prompt(template)
         user = render_user_prompt(

packages/shared/ai_client.py

@@ -337,13 +337,13 @@ class DoubaoClient:
                 self.last_finish_reason = finish_reason
                 _elapsed = time.time() - _t0
                 logger.info(
-                    "[doubao] chat_completion 完成 model=%s tokens_in=%d tokens_out=%d elapsed=%.1fs attempt=%d timeout=%d",
+                    "[doubao] chat_completion 完成 model=%s tokens_in=%d tokens_out=%d elapsed=%.1fs attempt=%d timeout=%s",
                     payload.get("model"),
                     data.get("usage", {}).get("prompt_tokens", 0),
                     data.get("usage", {}).get("completion_tokens", 0),
                     _elapsed,
                     attempt + 1,
-                    _req_timeout,
+                    getattr(_req_timeout, "read", _req_timeout),
                 )
                 return content.strip()
             except Exception as e: