zfbox/core/ChannelManager.py

import cv2
import threading
import base64
from myutils.ConfigManager import myCongif
#独立模型线程
from core.ModelNode import ModelNode
from core.ChannelData import ChannelData        #其实ChannelNode会更加贴切一些

'''
通道对象管理类，只针对通道节点的维护，和工作线程的开启和停止， ChannelData的操作必须维护在ChannelManager里面！不能输出ChannelData对象！
'''
class ChannelManager:
    def __init__(self):
        self._channels = {}
        self.cm_lock = threading.RLock()  # 用于保证字典操作的线程安全

        # 独立Model_th相关参数  --- modelNode 用一个类封装下model线程和其相关参数
        self.model_list = {}  # model_id -- modelNode
        self.workType = int(myCongif.get_data("workType"))
        self.device_id = myCongif.get_data("device_id")

    #增加节点
    def add_channel(self, channel_id,deque_length,icount_max,warnM):
        ret = False
        with self.cm_lock:
            if channel_id in self._channels:     #若已经有数据，先删除后再增加
                self._channels[channel_id].stop_work(0)  # 停止工作
                del self._channels[channel_id]
                if self.workType == 2:  # 若有model线程停止了，则删除该model节点
                    self.delModelNode()
            #channel_id,deque_length,icount_max,warnM
            ch_data = ChannelData(channel_id, deque_length, icount_max,warnM)
            self._channels[channel_id] = ch_data
            ret = True
        return ret

    #删除节点
    def delete_channel(self, channel_id):   #需要验证资源的释放清空
        '''删除节点，包含了停止该节点工作线程'''
        ret = True
        with self.cm_lock:
            if channel_id == 0:
                for clannel_data in self._channels:
                    clannel_data.stop_work(0)
                self._channels.clear()  #清空节点
            else:
                if channel_id in self._channels:
                    self._channels[channel_id].stop_work(0)  #停止工作
                    del self._channels[channel_id]
            if self.workType == 2:  #若有model线程停止了，则删除该model节点
                self.delModelNode()
        return ret

    #开始工作线程
    def start_channel(self,channel_id,cap_data,model_data,schedule,type):
        '''
        启动通道的工作线程  -- 启动应该没有一下子启动所有
        :param channel_id: 启动通道的ID  channel_id == 0的情况已经在上一层处理了，这里不会有0
        :param cap_data:  [source,type]
        :param model_data: 跟该通道关联的模型数据
        :param schedule
        :param type:   0-启动所有工作线程，1-启动CAP采集线程，2-启动model工资线程
        :return:
        '''
        ret = False
        with self.cm_lock:
            if channel_id in self._channels:
                c_node = self._channels[channel_id]
                model_node = None
                if self.workType == 2 and type !=1: #需要确保当type!=1时，model_data必须有数据 -- 调用时已经有判断
                    model_node = self.CreateModelNode(model_data[0], model_data[5], channel_id)
                ret = c_node.start_work(cap_data,model_data,schedule,type,model_node)
        return ret


    #停止工作线程---要把视频采集线程停止掉
    def stop_channel(self,channel_id,type): #9-10截止目前就重启模型线程时用到该函数(channel_id,2)
        '''
        停止通道的工作线程
        :param channel_id: 0-停止所有通道的工作线程，其他值为具体停止哪个工作线程
        :param type:    0-停止所有工作线程，1-停止CAP采集线程，2-停止model工资线程
        :return:
        '''
        with self.cm_lock:
            ret = False
            if channel_id == 0:
                # for clannel_id,clannel_data in self.channels.items():
                for clannel_data in self._channels:
                    clannel_data.stop_work(type)
                ret = True
            else:
                if channel_id in self._channels:
                    self._channels[channel_id].stop_work(type)
                    ret =True

            if self.workType == 2:  #若有model线程停止了，则删除该model节点
                self.delModelNode()
        return ret

    def get_channel_data(self,channel_id):
        cdata = None
        if channel_id in self._channels:
            cdata = self._channels[channel_id]
        return cdata

    def cm_get_last_frame(self,channel_id): #这里如果加锁的话，阻塞会比较厉害，但具体程度也需要验证。
        frame = None
        if channel_id in self._channels:
            try:
                frame = self._channels[channel_id].get_last_frame()
            except Exception as e:
                print(e)
        return frame

    def cm_get_cap_frame(self,channel_id):
        img_base64 = None
        if channel_id in self._channels:
            channel_data = self._channels[channel_id]
            if channel_data.cap:
                try:
                    for i in range(5):
                        ret, frame = channel_data.cap.read()
                        if ret:
                            ret, frame_bgr_webp = cv2.imencode('.jpg', frame)
                            if ret:
                                # 将图像数据编码为Base64
                                img_base64 = base64.b64encode(frame_bgr_webp).decode('utf-8')
                                break
                except Exception as e:
                    print(e)
        return img_base64

    '''模型独立线程修改2024-9-9，要求是双模式兼容'''
    '''2024-10-13修改独立线程为独立进程---acl初始化需要在子进程中初始化 -- 该方案无法兼容旧版本'''
    def CreateModelNode(self, model_id, model_path, channel_id):
        if model_id in self.model_list:
            modelN = self.model_list[model_id]
        else:
            modelN = ModelNode(self.device_id,model_path)
            self.model_list[model_id] = modelN
        #modelN = ModelNode(self.device_id, model_path,channel_id)
        return modelN

    def delModelNode(self):  #关于modelnodel :1.考虑modelnode是否可以不删除，清空inmq即可，2.mdel_list是否需要加锁。#？
        return
        for model_id, modelNode in self.model_list.items():
            if modelNode.ch_count == 0:
                del self.model_list[model_id]


if __name__ == "__main__":
    # 示例使用
    pass