自动同步: 2026-03-20 02:10

skills/kb_workflow/deep_analyzer/__init__.py

@@ -90,22 +90,35 @@ class SimpleAIClient:
 
     def _call_zhipu(self, prompt: str, max_tokens: int, api_key: str, model: str, base_url: str) -> str:
         import requests
+        import sys
+
         base_url = base_url or "https://open.bigmodel.cn/api/coding/paas/v4"
         url = f"{base_url}/chat/completions"
         headers = {"Authorization": f"Bearer {api_key}"}
-        payload = {"model": model, "messages": [{"role": "user", "content": prompt}], "max_tokens": max_tokens}
+        # GLM-4.5/4.6/4.7/5 默认启用thinking mode，使用 thinking.type 参数禁用
+        payload = {
+            "model": model,
+            "messages": [{"role": "user", "content": prompt}],
+            "max_tokens": max_tokens,
+            "thinking": {
+                "type": "disabled"  # 禁用思考模式，获取直接响应
+            }
+        }
         response = requests.post(url, headers=headers, json=payload, timeout=600)
         response.raise_for_status()
         data = response.json()
         message = data.get('choices', [{}])[0].get('message', {})
         content = message.get('content', '')
-        reasoning = message.get('reasoning_content', '')
-        if not content and reasoning:
-            sentences = reasoning.strip().split('。')
-            useful = [s.strip() for s in sentences if s.strip() and len(s.strip()) > 10]
-            if useful:
-                return '。'.join(useful[-3:]) + '。'
-            return reasoning.strip()[:500]
+
+        if not content:
+            # 如果仍然为空，检查是否有reasoning_content（用于调试）
+            reasoning = message.get('reasoning_content', '')
+            if reasoning:
+                print(f"[DEBUG] Zhipu API返回空的content，但有reasoning_content。", file=sys.stderr)
+                print(f"[DEBUG] 这可能表示thinking.type参数未生效或模型不支持。", file=sys.stderr)
+                print(f"[DEBUG] reasoning_content前200字符: {reasoning[:200]}", file=sys.stderr)
+            raise ValueError(f"Zhipu API返回空内容。请检查API配置和模型参数。响应数据: {data}")
+
         return content
 
     def _call_minimax(self, prompt: str, max_tokens: int, api_key: str, model: str, base_url: str) -> str:
@@ -129,6 +142,13 @@ class DeepAnalyzer:
 
     def __init__(self, ai_client: SimpleAIClient = None):
         self.ai_client = ai_client or SimpleAIClient()
+        # 弃用警告：B站视频应使用 SRTProcessor
+        import logging
+        logger = logging.getLogger(__name__)
+        logger.warning(
+            "DeepAnalyzer is deprecated for Bilibili video processing. "
+            "Use SRTProcessor instead."
+        )
 
     def analyze(self, metadata: Dict[str, Any], content: Dict[str, Any], content_type: str = "video") -> AnalysisResult:
         """一次性调用 AI 生成完整分析报告