style: auto-format with black + isort + ruff + prettier [skip ci-format-check]

apps/worker/worker_app/tasks/viral_video.py

@@ -450,7 +450,11 @@ def _analyze_single_image(
             _elapsed = time.time() - _t0
             logger.info(
                 "[爆款视频] 图片 #%d VLM(%s/%s) 完成 elapsed=%.1fs timeout=%d",
-                idx, label, model, _elapsed, tmo,
+                idx,
+                label,
+                model,
+                _elapsed,
+                tmo,
             )
             if raw is None:
                 return None
@@ -467,7 +471,11 @@ def _analyze_single_image(
             _elapsed = time.time() - _t0
             logger.warning(
                 "[爆款视频] 图片 #%d call_vision(%s/%s) 异常 elapsed=%.1fs err=%s",
-                idx, label, model, _elapsed, e,
+                idx,
+                label,
+                model,
+                _elapsed,
+                e,
             )
             return None
 
@@ -786,7 +794,9 @@ def _analyze_single_image(
                     winner["_fallback_used"] = True
                 logger.info(
                     "[爆款视频] 图片 #%d 竞速胜出=%s elapsed=%.1fs",
-                    idx, _lbl, time.time() - race_t0,
+                    idx,
+                    _lbl,
+                    time.time() - race_t0,
                 )
                 break
     if winner is not None:
@@ -798,7 +808,9 @@ def _analyze_single_image(
         _last_raw = None
     _last = _normalize(_last_raw, "pro_fallback")
     logger.warning(
-        "[爆款视频] 图片 #%d lite/pro 竞速均失败 elapsed=%.1fs", idx, time.time() - race_t0,
+        "[爆款视频] 图片 #%d lite/pro 竞速均失败 elapsed=%.1fs",
+        idx,
+        time.time() - race_t0,
     )
     return _last
 
@@ -851,6 +863,7 @@ def _step_image_analysis(job: ViralVideoJob) -> dict:
     # #2194/#2198: 整个并行图片分析阶段统一把共享 client 的 max_retries 置 0，
     # 阶段结束 finally 恢复。子线程 _call 只读不改，避免竞态。
     from packages.shared.ai_client import get_doubao_client as _gdc_step
+
     _step_client = _gdc_step()
     _step_orig_retries = _step_client.max_retries
     _step_client.max_retries = 0
@@ -859,7 +872,11 @@ def _step_image_analysis(job: ViralVideoJob) -> dict:
     max_workers = min(2, max(1, len(normalized_urls)))  # 并发≤2 防方舟限流（竞速模式下总并发=4）
     logger.info(
         "[爆款视频] 开始并行竞速图片分析 n=%d lite=%s(%ds) pro=%s(75s) img_workers=%d",
-        len(normalized_urls), vision_model, vision_timeout, pro_model, max_workers,
+        len(normalized_urls),
+        vision_model,
+        vision_timeout,
+        pro_model,
+        max_workers,
     )
     try:
         with ThreadPoolExecutor(max_workers=max_workers) as pool: