feat: add character regeneration endpoint and integrate emotion limits for AI-generated scripts

qwen3-tts-backend/core/llm_service.py

@@ -319,6 +319,29 @@ class LLMService:
         result = await self.stream_chat_json(system_prompt, user_message, max_tokens=4096, usage_callback=usage_callback)
         return result.get("chapters", [])
 
+    @staticmethod
+    def _emotion_limits(violence_level: int, eroticism_level: int) -> tuple[str, str]:
+        v = violence_level / 10
+        e = eroticism_level / 10
+        female_happy = round(0.35 + 0.45 * e, 2)
+        angry   = round(0.15 + 0.65 * v, 2)
+        sad     = round(0.10 + 0.40 * v, 2)
+        fear    = round(0.10 + 0.60 * v, 2)
+        hate    = round(0.35 + 0.25 * max(v, e), 2)
+        low     = round(0.35 + 0.45 * e, 2)
+        surprise= round(0.10 + 0.40 * max(v, e), 2)
+        limits = (
+            f"愤怒={angry}、悲伤={sad}、恐惧={fear}、厌恶={hate}、低沉={low}、惊讶={surprise}、"
+            f"开心：男性角色上限=0.35，女性角色上限={female_happy}"
+        )
+        guidance_parts = []
+        if violence_level >= 4:
+            guidance_parts.append(f"暴力程度{violence_level}/10，台词中的愤怒、恐惧、悲伤情绪必须强烈外露，不得克制")
+        if eroticism_level >= 4:
+            guidance_parts.append(f"色情程度{eroticism_level}/10，女性台词中的开心、低沉、挑逗情绪应充分表达")
+        guidance = "；".join(guidance_parts)
+        return limits, guidance
+
     async def generate_chapter_script(
         self,
         genre: str,
@@ -334,6 +357,19 @@ class LLMService:
     ) -> str:
         char_names = [c.get("name", "") for c in characters if c.get("name") not in ("narrator", "旁白")]
         names_str = "、".join(char_names)
+        limits_str, emo_guidance = self._emotion_limits(violence_level, eroticism_level)
+        emo_guidance_line = f"- {emo_guidance}\n" if emo_guidance else ""
+        max_level = max(violence_level, eroticism_level)
+        if max_level >= 9:
+            narrator_rule = "- 旁白全程必须主动标注情感，强烈场景情感需饱满，不得留空\n"
+        elif max_level >= 7:
+            narrator_rule = "- 旁白在激烈/情欲场景中必须添加情感标注，其余场景也应酌情标注\n"
+        elif max_level >= 5:
+            narrator_rule = "- 旁白在激烈/情欲场景中应添加情感标注，平淡过渡段落可省略\n"
+        elif max_level >= 3:
+            narrator_rule = "- 旁白在情绪明显的场景中可适当添加情感标注\n"
+        else:
+            narrator_rule = "- 旁白叙述一般不需要情感标注\n"
         system_prompt = (
             "你是一个专业的有声书剧本创作助手。请根据章节信息创作完整的对话脚本。\n\n"
             "输出格式规则（严格遵守）：\n"
@@ -342,10 +378,11 @@ class LLMService:
             "  【角色名】\"对话内容\"（情感词:强度）\n\n"
             "情感标注规则：\n"
             "- 情感词可选：开心、愤怒、悲伤、恐惧、厌恶、低沉、惊讶\n"
-            "- 各情感强度上限（严格不超过）：开心=0.35、愤怒=0.15、悲伤=0.1、恐惧=0.1、厌恶=0.35、低沉=0.35、惊讶=0.1\n"
+            f"- 各情感强度上限（严格不超过）：{limits_str}\n"
             "- 情感不明显时可省略（情感词:强度）整个括号\n"
-            "- 旁白叙述一般不需要情感标注\n\n"
-            "其他规则：\n"
+            + narrator_rule
+            + emo_guidance_line
+            + "\n其他规则：\n"
             "- 旁白使用【旁白】标记\n"
             f"- 主要角色名从以下列表选择：{names_str}\n"
             "- 若剧情需要路人/群众/配角台词，可使用简短中文描述性名称（如：路人甲、镇民、警察、店员等），不必限于主角列表\n"