完成视频复刻和优化

core/backend/apps/ai/script_agent.py

@@ -1571,7 +1571,10 @@ def stream_script_agent(
     target_index 非空 = 精准只改第 N 镜(读全脚本上下文,后端强制保留其余镜原样)。"""
     from apps.ai.services import create_ai_task, stream_routed_text_request
 
-    fmt, structure = coerce_combo(presentation_format, video_structure)
+    # 极速成片与专业创作都只产出口播。历史项目、模板或请求里的短剧/Vlog
+    # 仅作兼容读取，绝不能重新进入实际生成链路。
+    del presentation_format
+    fmt, structure = coerce_combo(DEFAULT_PRESENTATION_FORMAT, video_structure)
 
     yield _sse({"type": "tool", "id": "skill", "label": f"加载套路:{PRESENTATION_FORMATS[fmt]} · {VIDEO_STRUCTURES[structure]}", "status": "running"})
     skill_loaded = bool(load_ecommerce_skill(fmt, structure))
@@ -1898,7 +1901,8 @@ def regenerate_segment_via_agent(*, project, user, model_config: ModelConfig, se
         raise ValueError(f"镜号越界:第 {target_index + 1} 镜(共 {seg_n} 镜)")
     total_duration = base_draft["total_duration"]  # 已按各镜真实秒数加总,normalize 不会截掉用户增删后的镜
     # 改一镜要沿用原稿的套路,否则重写出来的那一镜镜头语言会跟其余镜打架
-    fmt, structure = combo_keys(base_draft.get("presentation_format"), base_draft.get("video_structure"))
+    # 单镜重写也必须遵守当前统一的口播规则，不能被旧稿的表现形式带回短剧/Vlog。
+    fmt, structure = combo_keys(DEFAULT_PRESENTATION_FORMAT, base_draft.get("video_structure"))
 
     product_image_urls = _script_product_reference_urls(project, model_config)
     messages = build_agent_messages(