smartai-v2/smartai-qwen.git

			@@ -30,7 +30,7 @@
			# 将键值对添加到字典中
			self.config[key] = value
			# 创建实例专属logger
			os.makedirs("logs", exist_ok=True)
			os.makedirs(self.config.get("logaddr"), exist_ok=True)
			logging.basicConfig(
			level=logging.INFO,
			format='%(asctime)s - %(filename)s:%(lineno)d - %(funcName)s() - %(levelname)s: %(message)s',
			@@ -38,7 +38,7 @@
			handlers=[
			# 按大小轮转的日志文件（最大10MB，保留3个备份）
			RotatingFileHandler(
			filename=os.path.join("logs", 'qwen_log.log'),
			filename=os.path.join(self.config.get("logaddr"), 'qwen_log.log'),
			maxBytes=10 * 1024 * 1024, # 10MB
			backupCount=3,
			encoding='utf-8'
			@@ -106,39 +106,36 @@
			# image_id = get_mem.smem_read_frame_qianwen(camera_id)
			if len(res_a) > 0:
			sorted_results = sorted(res_a, key=itemgetter("id"), reverse=True)
			# 查询前N个最大的ID
			num = int(self.config.get("threadnum")) - 1
			res_a = sorted_results[:num]
			for res in res_a:
			data = {
			"id": res['id'],
			"event_level_id": res['event_level_id'], # event_level_id
			"event_level_name": res['event_level_name'], # event_level_id
			"rule_id": res["rule_id"],
			"video_point_id": res['video_point_id'], # video_point_id
			"video_point_name": res['video_point_name'],
			"is_waning": 0,
			"is_desc": 1,
			"zh_desc_class": res['zh_desc_class'], # text_vector
			"bounding_box": res['bounding_box'], # bounding_box
			"task_id": res['task_id'], # task_id
			"task_name": res['task_name'], # task_id
			"detect_id": res['detect_id'], # detect_id
			"detect_time": res['detect_time'], # detect_time
			"detect_num": res['detect_num'],
			"waning_value": res['waning_value'],
			"image_path": res['image_path'], # image_path
			"image_desc_path": res['image_desc_path'], # image_desc_path
			"video_path": res['video_path'],
			"text_vector": res['text_vector'],
			"knowledge_id": res['knowledge_id'],
			"suggestion": res['suggestion'],
			}
			# logging.info(f"读取图像成功: {res['id']}")
			# 保存到milvus
			image_id = self.collection.upsert(data).primary_keys
			res['id'] = image_id[0]
			self.pool.submit(res)
			res = sorted_results[0]
			data = {
			"id": res['id'],
			"event_level_id": res['event_level_id'], # event_level_id
			"event_level_name": res['event_level_name'], # event_level_id
			"rule_id": res["rule_id"],
			"video_point_id": res['video_point_id'], # video_point_id
			"video_point_name": res['video_point_name'],
			"is_waning": 0,
			"is_desc": 1,
			"zh_desc_class": res['zh_desc_class'], # text_vector
			"bounding_box": res['bounding_box'], # bounding_box
			"task_id": res['task_id'], # task_id
			"task_name": res['task_name'], # task_id
			"detect_id": res['detect_id'], # detect_id
			"detect_time": res['detect_time'], # detect_time
			"detect_num": res['detect_num'],
			"waning_value": res['waning_value'],
			"image_path": res['image_path'], # image_path
			"image_desc_path": res['image_desc_path'], # image_desc_path
			"video_path": res['video_path'],
			"text_vector": res['text_vector'],
			"knowledge_id": res['knowledge_id'],
			"suggestion": res['suggestion'],
			}
			# logging.info(f"读取图像成功: {res['id']}")
			# 保存到milvus
			image_id = self.collection.upsert(data).primary_keys
			res['id'] = image_id[0]
			self.pool.submit(res)
			except Exception as e:
			logging.info(f"{camera_id}线程错误:{e}")
			time_sel.sleep(0.01)