feat: add simulator page and image quote analyzer

qingjian_cs/services/service_gemini.py

@@ -67,6 +67,13 @@ class GeminiExtractV2Service:
   #  DEFAULT_PROMPT = "生成图片，把衣服的图案展开起来做成数码印花印刷平面图。去掉皱褶，生成图案增强细节。排除衣服图案以外内容"
     def __init__(self):
         self.session = None
+
+    @staticmethod
+    def _clip_text(text: str, limit: int = 120) -> str:
+        if not text:
+            return ""
+        compact = re.sub(r"\s+", " ", str(text)).strip()
+        return compact if len(compact) <= limit else f"{compact[:limit]}..."
     
     def image_to_base64(self, image_path: str) -> str:
         """将图片文件转换为base64编码字符串"""
@@ -108,6 +115,12 @@ class GeminiExtractV2Service:
             
         # 使用自定义提示词或默认提示词
         prompt = custom_prompt or self.DEFAULT_PROMPT
+        logger.info(
+            "图片识别任务开始: 输入=%s 输出=%s 提示词=%s",
+            input_path,
+            output_path,
+            self._clip_text(prompt, 100),
+        )
         
         # 按优先级逐个尝试API配置
         for config_index, config in enumerate(self.API_CONFIGS):
@@ -117,6 +130,12 @@ class GeminiExtractV2Service:
             for attempt in range(config['max_retries']):
                 try:
                     logger.info(f"开始Gemini V2印花提取 - {config['name']} (第{attempt + 1}/{config['max_retries']}次尝试): {input_path}")
+                    logger.info(
+                        "%s 模型参数: model=%s aspect_ratio=%s",
+                        config["name"],
+                        config["api_model"],
+                        aspect_ratio,
+                    )
                     
                     # 准备请求数据和URL
                     if config.get('use_gemini_format', False):
@@ -271,7 +290,15 @@ class GeminiExtractV2Service:
             # 根据API格式提取内容
             if config.get('use_gemini_format', False):
                 # Gemini原生API格式: candidates[0].content.parts[0]
-                content_parts = result['candidates'][0]['content']['parts']
+                candidates = result.get("candidates", [])
+                logger.info("%s 返回候选数量: %s", api_name, len(candidates))
+                if not candidates:
+                    logger.error("%s 响应缺少candidates", api_name)
+                    return False, "响应缺少candidates", {}
+                finish_reason = candidates[0].get("finishReason", "")
+                if finish_reason:
+                    logger.info("%s 返回结束原因: %s", api_name, finish_reason)
+                content_parts = candidates[0]['content']['parts']
                 
                 # 查找包含图片数据的part
                 image_data = None
@@ -287,6 +314,8 @@ class GeminiExtractV2Service:
                         except Exception as e:
                             logger.error(f"{api_name} Base64解码失败: {e}")
                             return False, f"Base64解码失败: {e}", {}
+                    elif "text" in part:
+                        logger.info("%s 模型文本输出: %s", api_name, self._clip_text(part.get("text", ""), 160))
                 
                 if not image_data:
                     logger.error(f"{api_name} 在Gemini响应中未找到图片数据")