fix: 小红书文章无正常内容（LLM推理文本污染）、模块列表不匹配、脚本独立运行缺org_id列迁移

platform/backend/app/api/system.py

@@ -193,7 +193,7 @@ def get_modules_status():
         "scheduled_optimize_sources": {"name": "📡 信息源优化", "log": LOGS_DIR / f"optimizer_sources_{today_str}.log"},
         "scheduled_metrics_sync": {"name": "📊 指标同步", "log": LOGS_DIR / f"metrics_sync_{today_str}.log"},
     }
-    jobs = {j.id: j for j in scheduler.get_jobs()}
+    jobs = {j['id']: j for j in scheduler.get_jobs()}
     modules = []
     for mod_id, cfg in log_based.items():
         log_file = cfg["log"]

platform/backend/app/core/nvidia_client.py

@@ -110,7 +110,8 @@ def call_llm(
         if resp.status_code != 200:
             raise LLMError(f"HTTP {resp.status_code}: {resp.text[:200]}")
         if stream:
-            full = []
+            content_parts = []
+            reasoning_parts = []
             for line in resp.iter_lines():
                 if not line: continue
                 if line.startswith(b'data: '):
@@ -119,12 +120,14 @@ def call_llm(
                     try:
                         chunk = json.loads(data)
                         delta = chunk['choices'][0]['delta']
-                        if delta.get('reasoning_content'):
-                            full.append(delta['reasoning_content'])
                         if delta.get('content'):
-                            full.append(delta['content'])
+                            content_parts.append(delta['content'])
+                        if delta.get('reasoning_content'):
+                            reasoning_parts.append(delta['reasoning_content'])
                     except Exception: continue
-            return "".join(full)
+            if content_parts:
+                return "".join(content_parts)
+            return "".join(reasoning_parts)
         else:
             data = resp.json()
             msg = data["choices"][0]["message"]