import asyncio
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import base64
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import io
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import json
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import os
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import re
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import requests
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import torch
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import logging
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from PIL import Image
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from logging.handlers import RotatingFileHandler
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class detect_tasks():
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def __init__(self):
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#线程名称
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self._thread_name = ''
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# 初始化Milvus集合
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self.collection = None
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# 初始化llm
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self.llm = None
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def remove_duplicate_lines(self,text):
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seen = set()
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result = []
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for line in text.split('。'): # 按句号分割
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if line.strip() and line not in seen:
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seen.add(line)
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result.append(line)
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return '。'.join(result)
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def remove_duplicate_lines_d(self,text):
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seen = set()
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result = []
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for line in text.split(','): # 按句号分割
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if line.strip() and line not in seen:
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seen.add(line)
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result.append(line)
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return '。'.join(result)
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def remove_duplicate_lines_n(self,text):
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seen = set()
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result = []
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for line in text.split('\n'): # 按句号分割
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if line.strip() and line not in seen:
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seen.add(line)
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result.append(line)
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return '。'.join(result)
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def init_logging(self,logname):
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# 创建实例专属logger
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self.logger = logging.getLogger(f"{self.__class__}_{id(self)}")
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self.logger.setLevel(logging.INFO)
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# 避免重复添加handler
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if not self.logger.handlers:
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handler = RotatingFileHandler(
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filename=os.path.join("logs", logname+'_log.log'),
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maxBytes=10 * 1024 * 1024,
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backupCount=3,
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encoding='utf-8'
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)
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formatter = logging.Formatter(
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'%(asctime)s - %(filename)s:%(lineno)d - %(funcName)s() - %(levelname)s: %(message)s'
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)
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handler.setFormatter(formatter)
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self.logger.addHandler(handler)
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def image_desc(self,image_path):
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try:
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image_des = None
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# 构造多模态消息
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messages = [
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{
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"role": "user",
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"content": [
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{"type": "text", "text": "请详细描述图片中的目标信息及特征。返回格式为整段文字描述"},
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{
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"type": "image_url",
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"image_url": {
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"url": f"data:image/jpeg;base64,{self.image_to_base64(image_path)}"
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}
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}
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]
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}
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]
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# 发送请求
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#self.logger.info("发送请求")
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response = self.llm.invoke(messages)
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if response and response.content:
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image_des = response.content
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if len(image_des) > 4 and image_des.startswith("这张图片"):
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image_des = image_des[4:]
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image_des = self.remove_duplicate_lines(image_des)
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image_des = self.remove_duplicate_lines_d(image_des)
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image_des = self.remove_duplicate_lines_n(image_des)
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#self.logger.info(image_des)
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else:
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self.logger.info(f"{self._thread_name}线程：执行图片描述时出错:{image_path, response}")
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return image_des
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except Exception as e:
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self.logger.info(f"{self._thread_name}线程：执行图片描述时出错:{image_path,e}")
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return None
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def get_rule(self,ragurl):
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try:
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rule_text = None
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search_data = {
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"collection_name": "smart_rule",
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"query_text": "",
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"search_mode": "hybrid",
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"limit": 100,
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"weight_dense": 0.7,
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"weight_sparse": 0.3,
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"filter_expr": "",
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"output_fields": ["text"]
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}
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response = requests.post(ragurl + "/search", json=search_data)
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results = response.json().get('results')
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rule_text = ""
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ruleid = 1
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for rule in results:
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if rule['score'] >= 0:
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rule_text = rule_text + str(ruleid) + ". " + rule['entity'].get('text') + ";\n"
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ruleid = ruleid + 1
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# self.logger.info(len(rule_text))
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else:
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self.logger.info(f"{self._thread_name}线程：执行获取规则时出错:{response}")
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return rule_text
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except Exception as e:
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self.logger.info(f"{self._thread_name}线程：执行获取规则时出错:{e}")
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return None
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def image_rule_chat(self, image_des,rule_text, ragurl, rag_mode,max_tokens):
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try:
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content = (
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f"图片描述内容为：\n{image_des}\n规则内容：\n{rule_text}。\n请验证图片描述中是否有符合规则的内容，不进行推理和think。返回结果格式为[xxx符合的规则id]，如果没有返回[]")
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# self.logger.info(content)
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#self.logger.info(len(content))
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search_data = {
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"prompt": "",
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"messages": [
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{
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"role": "user",
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"content": content
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}
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],
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"llm_name": rag_mode,
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"stream": False,
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"gen_conf": {
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"temperature": 0.7,
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"max_tokens": max_tokens
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}
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}
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response = requests.post(ragurl + "/chat", json=search_data)
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results = response.json().get('data')
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#self.logger.info(len(results))
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# self.logger.info(results)
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ret = re.sub(r'<think>.*?</think>', '', results, flags=re.DOTALL)
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ret = ret.replace(" ", "").replace("\t", "").replace("\n", "")
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is_waning = 0
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if len(ret) > 2:
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is_waning = 1
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return is_waning
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except Exception as e:
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self.logger.info(f"{self._thread_name}线程：执行规则匹配时出错:{image_des, rule_text, ragurl, rag_mode,e}")
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return None
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async def insert_json_data(self, ragurl, data):
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try:
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data = {'collection_name': "smartrag", "data": data, "description": ""}
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requests.post(ragurl + "/insert_json_data", json=data, timeout=(0.3, 0.3))
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#self.logger.info(f"调用录像服务:{ragurl, data}")
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except Exception as e:
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#self.logger.info(f"{self._thread_name}线程：调用录像时出错:地址：{ragurl}：{e}")
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return
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# 处理多模态输入（示例：文本+图像）
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def image_to_base64(self,image_path):
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with open(image_path, "rb") as img_file:
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return base64.b64encode(img_file.read()).decode('utf-8')
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def tark_do(self,res,ragurl,rag_mode,max_tokens):
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try :
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# 1. 从集合A获取向量和元数据
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is_waning = 0
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is_desc = 0
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#res_a = self.collection.query(
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# expr=f"id == {image_id}",
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# output_fields=["id", "zh_desc_class", "text_vector", "bounding_box", "video_point_name", "task_id",
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# "task_name","event_level_id","event_level_name",
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# "video_point_id", "detect_num", "is_waning", "waning_value", "rule_id", "detect_id",
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# "detect_time", "image_path", "image_desc_path", "video_path"],
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# consistency_level="Strong"
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#)
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image_des = self.image_desc(f"{res['image_desc_path']}")
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if image_des:
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#rule_text = self.get_rule(ragurl)
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is_waning = self.image_rule_chat(image_des,res['waning_value'],ragurl,rag_mode,max_tokens)
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is_desc = 2
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else:
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is_waning = 0
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is_desc = 3
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data = {
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"id": res['id'],
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"event_level_id": res['event_level_id'], # event_level_id
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"event_level_name": res['event_level_name'], # event_level_id
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"rule_id": res["rule_id"],
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"video_point_id": res['video_point_id'], # video_point_id
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"video_point_name": res['video_point_name'],
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"is_waning": is_waning,
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"is_desc": is_desc,
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"zh_desc_class": image_des, # text_vector
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"bounding_box": res['bounding_box'], # bounding_box
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"task_id": res['task_id'], # task_id
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"task_name": res['task_name'], # task_id
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"detect_id": res['detect_id'], # detect_id
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"detect_time": res['detect_time'], # detect_time
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"detect_num": res['detect_num'],
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"waning_value": res['waning_value'],
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"image_path": res['image_path'], # image_path
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"image_desc_path": res['image_desc_path'], # image_desc_path
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"video_path": res['video_path'],
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"text_vector": res['text_vector']
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}
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# 保存到milvus
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image_id = self.collection.upsert(data).primary_keys
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if is_desc == 2 :
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data = {
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"id": str(image_id[0]),
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"video_point_id": res['video_point_id'],
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"video_path": res["video_point_name"],
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"zh_desc_class": image_des,
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"detect_time": res['detect_time'],
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"image_path": f"{res['image_path']}",
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"task_name": res["task_name"],
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"event_level_name": res["event_level_name"],
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"rtsp_address": f"{res['video_path']}"
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}
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#调用rag
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asyncio.run(self.insert_json_data(ragurl, data))
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return image_id
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except Exception as e:
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self.logger.info(f"{self._thread_name}线程：执行模型解析时出错:任务：{ res['id']} :{e}")
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return 0
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