fix: route compliance to opencode-go, others to nvidia; skip status on force-pass

1. DB active provider switched to nvidia (stepfun-ai/step-3.5-flash)
   → trends/collector/writer 默认用 nvidia
2. compliance_optimizer.py 固定 provider='opencode-go'
   → 合规审查用 deepseek-v4-flash（更好的模型）
3. force_passed 的选题不再更新为 'ready'（待发布）
   → 只有真正修复通过才更新状态

scripts/compliance_optimizer.py

@@ -160,17 +160,15 @@ def polish_with_llm(html: str, platform: str, remaining_issues: Optional[List[Di
     """用 LLM 优化文章内容，返回 (html, log_message_or_None)
     如果指定 remaining_issues，则针对性修复合规问题
     LLM 失败时自动重试一次
+    固定使用 opencode-go (deepseek-v4-flash) — 审查用更好的模型
     """
     if not HAVE_LLM:
         return html, None
-    llm_cfg = get_llm_config()
     for attempt in range(2):
         try:
-            model = llm_cfg.get('model') if llm_cfg else None
+            temperature = 0.5
-            temperature = llm_cfg.get('temperature', 0.5) if llm_cfg else 0.5
+            max_tokens = 4000
-            max_tokens = llm_cfg.get('max_tokens', 4000) if llm_cfg else 4000
+            system_prompt = "你是一个专业的内容合规与优化助手，擅长在保持文章质量和可读性的前提下修复合规问题。"
-            system_prompt = llm_cfg.get('system_prompt') if llm_cfg else "你是一个专业的内容合规与优化助手，擅长在保持文章质量和可读性的前提下修复合规问题。"
-
             if remaining_issues:
                 issues_desc = "\n".join(
                     f"- [{i['type']}] {i.get('category','')}: {i.get('detail','')}"
@@ -179,7 +177,7 @@ def polish_with_llm(html: str, platform: str, remaining_issues: Optional[List[Di
                 prompt = get_prompt("compliance_fix", issues_desc=issues_desc, html=html)
             else:
                 prompt = get_prompt("compliance_polish", html=html)
-            polished = call_llm(prompt, model=model, temperature=temperature, max_tokens=max_tokens, system_prompt=system_prompt)
+            polished = call_llm(prompt, provider="opencode-go", temperature=temperature, max_tokens=max_tokens, system_prompt=system_prompt)
             polished = clean_html_content(polished)
             polished = strip_ai_preface(polished)
             polished = strip_thinking_html(polished)
@@ -226,11 +224,7 @@ def _load_platform_configs() -> Dict[str, Dict]:
 
 def main(topic_ids: List[str] = None):
     logger.info("=== 合规审查与优化开始 ===")
-    llm_cfg = get_llm_config()
+    logger.info("LLM 配置: opencode-go (model=deepseek-v4-flash) — 固定用于合规审查")
-    if llm_cfg:
-        logger.info(f"LLM 配置: {llm_cfg['name']} (model={llm_cfg['model']})")
-    else:
-        logger.info("LLM 配置: 使用环境变量默认值")
 
     platform_configs = _load_platform_configs()
     logger.info(f"已加载 {len(platform_configs)} 个平台配置")
@@ -251,6 +245,7 @@ def main(topic_ids: List[str] = None):
 
     topic_map = load_topic_map()
     results = []
+    force_passed_topics = set()
 
     for html, platform_dir, topic_id in articles:
         topic_data = topic_map.get(topic_id)
@@ -294,6 +289,7 @@ def main(topic_ids: List[str] = None):
             else:
                 save_article(topic_id, platform_dir, current_html)
                 logger.warning(f"⚠️ {label} 仍有 {len(current_issues)} 个问题未修复，已强制通过（当前分 {current_score}）")
+                force_passed_topics.add(topic_id)
                 results.append(OptimizationResult(
                     file=f"db:{platform_dir}_{topic_id}",
                     platform=platform_dir,
@@ -302,7 +298,7 @@ def main(topic_ids: List[str] = None):
                     original_issues=len(issues),
                     fixed_issues=len(issues) - len(current_issues),
                     final_score=current_score,
-                    status="passed"
+                    status="force_passed"
                 ))
         else:
             results.append(OptimizationResult(
@@ -324,6 +320,9 @@ def main(topic_ids: List[str] = None):
         passed_scores[res.topic_id].append(res.final_score)
 
     for tid, scores in passed_scores.items():
+        if tid in force_passed_topics:
+            logger.warning(f"选题 {tid} 仍有未修复问题，跳过状态更新（保留当前状态）")
+            continue
         avg_score = sum(scores) // len(scores)
         update_topic_status(tid, 'ready', compliance_score=avg_score, reviewed_at=datetime.datetime.now())
         logger.info(f"选题 {tid} 状态 → ready（待发布）, 合规分={avg_score}")
@@ -342,8 +341,8 @@ def main(topic_ids: List[str] = None):
     with open(report_file, 'w', encoding='utf-8') as f:
         json.dump(report, f, ensure_ascii=False, indent=2)
 
-    logger.info(f"✅ 合规审查完成: {len(results)} 篇文章全部通过")
+    logger.info(f"✅ 合规审查完成: {len(results)} 篇文章, 其中 {len([r for r in results if r.status=='force_passed'])} 篇强制通过")
-    print(f"OPTIMIZATION_COMPLETE: {len(results)} articles, all passed")
+    print(f"OPTIMIZATION_COMPLETE: {len(results)} articles, {len(force_passed_topics)} topics skipped status update")
     sys.exit(0)
 
 if __name__ == "__main__":