#2025/7/12 #增加日志保存路径的配置 #修改每次只处理最新的记录，去掉线程数量判断，只处理一个

shidong

2025-07-12 77c9caeb9d7ced394291f521ac3134bd86b2c726

 qwen_detect.py

@@ -1,5 +1,4 @@
from operator import itemgetter
import torch
import threading
import time as time_sel
from typing import Dict
@@ -7,7 +6,6 @@
import requests
import os
import logging
from transformers import AutoProcessor, AutoModelForVision2Seq
from pymilvus import connections, Collection
from logging.handlers import RotatingFileHandler
import get_mem
@@ -31,26 +29,8 @@
                    value = value.strip()
                    # 将键值对添加到字典中
                    self.config[key] = value
        # 配置日志
        # 确保日志目录存在
        log_dir = "logs"
        os.makedirs(log_dir, exist_ok=True)
        self.threads: Dict[str, threading.Thread] = {}
        self.lock = threading.Lock()

        # 初始化Milvus集合
        connections.connect("default", host=self.config.get("milvusurl"), port=self.config.get("milvusport"))
        # 加载集合
        self.collection = Collection(name="smartobject")
        self.collection.load()
        self.pool = qwen_thread(int(self.config.get("threadnum")), self.config,"/home/debian/Qwen2.5-VL-3B-Instruct-GPTQ-Int4")
        #是否更新
        self._isupdate = False

        # 初始化共享内存
        get_mem.smem_init()

        # 配置日志
        # 创建实例专属logger
        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',
@@ -58,7 +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(log_dir, 'start_log.log'),
                    filename=os.path.join(self.config.get("logaddr"), 'qwen_log.log'),
                    maxBytes=10 * 1024 * 1024,  # 10MB
                    backupCount=3,
                    encoding='utf-8'
@@ -67,6 +47,26 @@
                logging.StreamHandler()
            ]
        )
        self.logger = logging.getLogger(f"{self.__class__}_{id(self)}")
        self.logger.setLevel(logging.INFO)


        self.threads: Dict[str, threading.Thread] = {}
        self.lock = threading.Lock()

        # 初始化Milvus集合
        connections.connect("default", host=self.config.get("milvusurl"), port=self.config.get("milvusport"))
        # 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)
        #是否更新
        self._isupdate = False

        # 初始化共享内存
        get_mem.smem_init()


    #启动线程
    def safe_start(self, target_func, camera_id):
@@ -96,54 +96,49 @@
                    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",
                                   "detect_id","knowledge_id","suggestion",
                                   "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)
                    # 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']
                        }
                        # 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]
                        # logging.info(f"读取图像成功: {image_id}")
                        image_id = self.pool.submit(res)
                        # image_id = pool.tark_do(image_id,self.config.get("ragurl"),self.config.get("ragmode"),self.config.get("max_tokens"))
                        # logging.info(f"处理图像成功: {image_id}")
                    sorted_results = None
                    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)

    #调用是否需要更新
    def isUpdate(self):