smartai-v2/smartai-qwen.git

			@@ -9,6 +9,8 @@
			from pymilvus import connections, Collection
			from logging.handlers import RotatingFileHandler
			import get_mem
			from qwen_thread_description import qwen_thread_description


			class ThreadPool:
			def __init__(self):
			@@ -59,8 +61,10 @@
			# 加载集合
			self.collection = Collection(name="smartobject")
			self.collection.load()
			#创建qwen线程池
			self.pool = qwen_thread(self.config,self.logger)
			#创建qwen线程池--预警线程池
			self.poolWarning = qwen_thread(self.config,self.logger)
			# 创建qwen线程池--图片描述等
			self.poolDescription= qwen_thread_description(self.config, self.logger)
			#是否更新
			self._isupdate = False

			@@ -87,16 +91,73 @@
			self.threads[camera_id] = t
			return t

			# 启动线程任务
			# 启动线程任务--预警
			def workerWarning(self, camera_id):
			while True:
			try:
			res_a = self.collection.query(
			expr=f"is_desc == 0 and video_point_id=={camera_id}",
			output_fields=["id", "zh_desc_class", "text_vector", "bounding_box", "video_point_name",
			"task_id",
			"task_name", "event_level_id", "event_level_name",
			"video_point_id", "detect_num", "is_waning", "is_desc", "waning_value",
			"rule_id",
			"detect_id", "knowledge_id", "suggestion", "risk_description",
			"detect_time", "image_path", "image_desc_path", "video_path"],
			consistency_level="Strong",
			order_by_field="id", # 按id字段排序
			order_by_type="desc" # 降序排列
			)
			# 读取共享内存中的图片
			# 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)
			# res = sorted_results[0]
			res = max(res_a, key=itemgetter("id"))
			self.collection.delete(f"id == {res['id']}")
			# 数据组
			data = {
			"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":4,#预警中状态
			"zh_desc_class": res['zh_desc_class'],
			"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'],
			"risk_description": res['risk_description'],
			"suggestion": res['suggestion'],
			"knowledge_id": res['knowledge_id']
			}
			# 保存到milvus
			image_id = self.collection.insert(data).primary_keys
			res['id'] = image_id[0]
			self.poolWarning.submit(res)
			time_sel.sleep(0.01)
			except Exception as e:
			logging.info(f"{camera_id}线程错误:{e}")

			# 启动线程任务--生成图片描述等
			def worker(self, camera_id):
			while True:
			try:
			res_a = self.collection.query(
			expr=f"is_desc == 0 and video_point_id=={camera_id}",
			expr=f"is_desc == 5 and video_point_id=={camera_id}",
			output_fields=["id", "zh_desc_class", "text_vector", "bounding_box", "video_point_name", "task_id",
			"task_name", "event_level_id", "event_level_name",
			"video_point_id", "detect_num", "is_waning", "is_desc", "waning_value", "rule_id",
			"detect_id","knowledge_id","suggestion",
			"detect_id","knowledge_id","suggestion","risk_description",
			"detect_time", "image_path", "image_desc_path", "video_path"],
			consistency_level="Strong",
			order_by_field="id", # 按id字段排序
			@@ -105,18 +166,20 @@
			# 读取共享内存中的图片
			# 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)
			res = sorted_results[0]
			#sorted_results = sorted(res_a, key=itemgetter("id"), reverse=True)
			#res = sorted_results[0]
			res = max(res_a, key=itemgetter("id"))
			self.collection.delete(f"id == {res['id']}")
			# 数据组
			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_waning": res['is_waning'],
			"is_desc": 1,
			"zh_desc_class": res['zh_desc_class'], # text_vector
			"zh_desc_class": res['zh_desc_class'],
			"bounding_box": res['bounding_box'], # bounding_box
			"task_id": res['task_id'], # task_id
			"task_name": res['task_name'], # task_id
			@@ -128,17 +191,18 @@
			"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'],
			"risk_description": res['risk_description'],
			"suggestion": res['suggestion'],
			"knowledge_id": res['knowledge_id']
			}
			# logging.info(f"读取图像成功: {res['id']}")
			# 保存到milvus
			image_id = self.collection.upsert(data).primary_keys
			image_id = self.collection.insert(data).primary_keys
			res['id'] = image_id[0]
			self.pool.submit(res)
			self.poolDescription.submit(res)
			time_sel.sleep(0.01)
			except Exception as e:
			logging.info(f"{camera_id}线程错误:{e}")
			time_sel.sleep(0.01)


			#调用是否需要更新
			def isUpdate(self):
			@@ -223,6 +287,9 @@
			thread = pool.threads.get(camera.get("camera_id"))
			if not thread:
			logging.info(f"开始创建{camera.get('camera_id')}线程")
			#先对数据进行预警
			pool.safe_start(pool.workerWarning, camera.get('camera_id'))
			#在生成图片描述、处理建议等信息
			pool.safe_start(pool.worker, camera.get('camera_id'))
			logging.info(f"{camera.get('camera_id')}线程创建完毕")