import wx
import wx.grid
from time import localtime,strftime
import os
import io
import zlib
import dlib  # 人臉識(shí)別的庫(kù)dlib
import numpy as np  # 數(shù)據(jù)處理的庫(kù)numpy
import cv2  # 圖像處理的庫(kù)OpenCv
import _thread
import threading
 
ID_NEW_REGISTER = 160
ID_FINISH_REGISTER = 161
 
ID_START_PUNCHCARD = 190
ID_END_PUNCARD = 191
 
ID_OPEN_LOGCAT = 283
ID_CLOSE_LOGCAT = 284
 
ID_WORKER_UNAVIABLE = -1
 
PATH_FACE = "data/face_img_database/"
# face recognition model, the object maps human faces into 128D vectors
facerec = dlib.face_recognition_model_v1("model/dlib_face_recognition_resnet_model_v1.dat")
# Dlib 預(yù)測(cè)器
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor('model/shape_predictor_68_face_landmarks.dat')
 
class WAS(wx.Frame):
    def __init__(self):
        wx.Frame.__init__(self,parent=None,title="員工考勤系統(tǒng)",size=(920,560))
 
        self.initMenu()
        self.initInfoText()
        self.initGallery()
        self.initDatabase()
        self.initData()
 
    def initData(self):
        self.name = ""
        self.id =ID_WORKER_UNAVIABLE
        self.face_feature = ""
        self.pic_num = 0
        self.flag_registed = False
        self.puncard_time = "21:00:00"
        self.loadDataBase(1)
 
    def initMenu(self):
 
        menuBar = wx.MenuBar()  #生成菜單欄
        menu_Font = wx.Font()#Font(faceName="consolas",pointsize=20)
        menu_Font.SetPointSize(14)
        menu_Font.SetWeight(wx.BOLD)
 
 
        registerMenu = wx.Menu() #生成菜單
        self.new_register = wx.MenuItem(registerMenu,ID_NEW_REGISTER,"新建錄入")
        self.new_register.SetBitmap(wx.Bitmap("drawable/new_register.png"))
        self.new_register.SetTextColour("SLATE BLUE")
        self.new_register.SetFont(menu_Font)
        registerMenu.Append(self.new_register)
 
        self.finish_register = wx.MenuItem(registerMenu,ID_FINISH_REGISTER,"完成錄入")
        self.finish_register.SetBitmap(wx.Bitmap("drawable/finish_register.png"))
        self.finish_register.SetTextColour("SLATE BLUE")
        self.finish_register.SetFont(menu_Font)
        self.finish_register.Enable(False)
        registerMenu.Append(self.finish_register)
 
 
        puncardMenu = wx.Menu()
        self.start_punchcard = wx.MenuItem(puncardMenu,ID_START_PUNCHCARD,"開(kāi)始簽到")
        self.start_punchcard.SetBitmap(wx.Bitmap("drawable/start_punchcard.png"))
        self.start_punchcard.SetTextColour("SLATE BLUE")
        self.start_punchcard.SetFont(menu_Font)
        puncardMenu.Append(self.start_punchcard)
 
 
        self.close_logcat = wx.MenuItem(logcatMenu, ID_CLOSE_LOGCAT, "關(guān)閉日志")
        self.close_logcat.SetBitmap(wx.Bitmap("drawable/close_logcat.png"))
        self.close_logcat.SetFont(menu_Font)
        self.close_logcat.SetTextColour("SLATE BLUE")
        logcatMenu.Append(self.close_logcat)
 
        menuBar.Append(registerMenu,"人臉?shù)浫?)
        menuBar.Append(puncardMenu,"刷臉簽到")
        menuBar.Append(logcatMenu,"考勤日志")
        self.SetMenuBar(menuBar)
 
        self.Bind(wx.EVT_MENU,self.OnNewRegisterClicked,id=ID_NEW_REGISTER)
        self.Bind(wx.EVT_MENU,self.OnFinishRegisterClicked,id=ID_FINISH_REGISTER)
        self.Bind(wx.EVT_MENU,self.OnStartPunchCardClicked,id=ID_START_PUNCHCARD)
        self.Bind(wx.EVT_MENU,self.OnEndPunchCardClicked,id=ID_END_PUNCARD)
        self.Bind(wx.EVT_MENU,self.OnOpenLogcatClicked,id=ID_OPEN_LOGCAT)
        self.Bind(wx.EVT_MENU,self.OnCloseLogcatClicked,id=ID_CLOSE_LOGCAT)
 
 
        pass
 
    def OnCloseLogcatClicked(self,event):
        self.SetSize(920,560)
 
        self.initGallery()
        pass
 
    def register_cap(self,event):
        # 創(chuàng)建 cv2 攝像頭對(duì)象
        self.cap = cv2.VideoCapture(0)
        # cap.set(propId, value)
        # 設(shè)置視頻參數(shù)，propId設(shè)置的視頻參數(shù)，value設(shè)置的參數(shù)值
        # self.cap.set(3, 600)
        # self.cap.set(4,600)
        # cap是否初始化成功
        while self.cap.isOpened():
            # cap.read()
            # 返回兩個(gè)值：
            #    一個(gè)布爾值true/false，用來(lái)判斷讀取視頻是否成功/是否到視頻末尾
            #    圖像對(duì)象，圖像的三維矩陣
            flag, im_rd = self.cap.read()
 
            # 每幀數(shù)據(jù)延時(shí)1ms，延時(shí)為0讀取的是靜態(tài)幀
            kk = cv2.waitKey(1)
            # 人臉數(shù) dets
            dets = detector(im_rd, 1)
 
            # 檢測(cè)到人臉
            if len(dets) != 0:
                biggest_face = dets[0]
                #取占比最大的臉
                maxArea = 0
                for det in dets:
                    w = det.right() - det.left()
                    h = det.top()-det.bottom()
                    if w*h > maxArea:
                        biggest_face = det
                        maxArea = w*h
                        # 繪制矩形框
 
                cv2.rectangle(im_rd, tuple([biggest_face.left(), biggest_face.top()]),
                                      tuple([biggest_face.right(), biggest_face.bottom()]),
                                      (255, 0, 0), 2)
                img_height, img_width = im_rd.shape[:2]
                image1 = cv2.cvtColor(im_rd, cv2.COLOR_BGR2RGB)
                pic = wx.Bitmap.FromBuffer(img_width, img_height, image1)
                # 顯示圖片在panel上
                self.bmp.SetBitmap(pic)
 
                # 獲取當(dāng)前捕獲到的圖像的所有人臉的特征，存儲(chǔ)到 features_cap_arr
                shape = predictor(im_rd, biggest_face)
                features_cap = facerec.compute_face_descriptor(im_rd, shape)
 
                # 對(duì)于某張人臉，遍歷所有存儲(chǔ)的人臉特征
                for i,knew_face_feature in enumerate(self.knew_face_feature):
                    # 將某張人臉與存儲(chǔ)的所有人臉數(shù)據(jù)進(jìn)行比對(duì)
                    compare = return_euclidean_distance(features_cap, knew_face_feature)
                    if compare == "same":  # 找到了相似臉
                        self.infoText.AppendText(self.getDateAndTime()+"工號(hào):"+str(self.knew_id[i])
                                                 +" 姓名:"+self.knew_name[i]+" 的人臉數(shù)據(jù)已存在\r\n")
                        self.flag_registed = True
                        self.OnFinishRegister()
                        _thread.exit()
 
                        # print(features_known_arr[i][-1])
                face_height = biggest_face.bottom()-biggest_face.top()
                face_width = biggest_face.right()- biggest_face.left()
                im_blank = np.zeros((face_height, face_width, 3), np.uint8)
                try:
                    for ii in range(face_height):
                        for jj in range(face_width):
                            im_blank[ii][jj] = im_rd[biggest_face.top() + ii]parent=self.bmp,max=100000000,min=ID_WORKER_UNAVIABLE)
            for knew_id in self.knew_id:
                if knew_id == self.id:
                    self.id = ID_WORKER_UNAVIABLE
                    wx.MessageBox(message="工號(hào)已存在，請(qǐng)重新輸入", caption="警告")
 
        while self.name == '':
            self.name = wx.GetTextFromUser(message="請(qǐng)輸入您的的姓名,用于創(chuàng)建姓名文件夾",
                                           caption="溫馨提示",
                                      default_value="", parent=self.bmp)
 
            # 監(jiān)測(cè)是否重名
            for exsit_name in (os.listdir(PATH_FACE)):
                if self.name == exsit_name:
                    wx.MessageBox(message="姓名文件夾已存在，請(qǐng)重新輸入", caption="警告")
                    self.name = ''
                    break
        os.makedirs(PATH_FACE+self.name)
        _thread.start_new_thread(self.register_cap,(event,))
        pass
 
    def OnFinishRegister(self):
 
        self.new_register.Enable(True)
        self.finish_register.Enable(False)
        self.cap.release()
 
        self.bmp.SetBitmap(wx.Bitmap(self.pic_index))
        if self.flag_registed == True:
            dir = PATH_FACE + self.name
            for file in os.listdir(dir):
                os.remove(dir+"/"+file)
                print("已刪除已錄入人臉的圖片", dir+"/"+file)
            os.rmdir(PATH_FACE + self.name)
            print("已刪除已錄入人臉的姓名文件夾", dir)
            self.initData()
            return
        if self.pic_num>0:
            pics = os.listdir(PATH_FACE + self.name)
            feature_list = []
            feature_average = []
            for i in range(len(pics)):
                pic_path = PATH_FACE + self.name + "/" + pics[i]
                print("正在讀的人臉圖像：", pic_path)
                img = iio.imread(pic_path)
                img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
                dets = detector(img_gray, 1)
                if len(dets) != 0:
                    shape = predictor(img_gray, dets[0])
                    face_descriptor = facerec.compute_face_descriptor(img_gray, shape)
                    feature_list.append(face_descriptor)
                else:
                    face_descriptor = 0
                    print("未在照片中識(shí)別到人臉")
            if len(feature_list) > 0:
                for j in range(128):
                    #防止越界
                    feature_average.append(0)
                    for i in range(len(feature_list)):
                        feature_average[j] += feature_list[i][j]
                    feature_average[j] = (feature_average[j]) / len(feature_list)
                self.insertARow([self.id,self.name,feature_average],1)
                self.infoText.AppendText(self.getDateAndTime()+"工號(hào):"+str(self.id)
                                     +" 姓名:"+self.name+" 的人臉數(shù)據(jù)已成功存入\r\n")
            pass
 
        else:
            os.rmdir(PATH_FACE + self.name)
            print("已刪除空文件夾",PATH_FACE + self.name)
        self.initData()
 
    def OnFinishRegisterClicked(self,event):
        self.OnFinishRegister()
        pass
 
 
    def OnStartPunchCardClicked(self,event):
        # cur_hour = datetime.datetime.now().hour
        # print(cur_hour)
        # if cur_hour>=8 or cur_hour6:
        #     wx.MessageBox(message='''您錯(cuò)過(guò)了今天的簽到時(shí)間，請(qǐng)明天再來(lái)\n
        #     每天的簽到時(shí)間是:6:00~7:59''', caption="警告")
        #     return
        self.start_punchcard.Enable(False)
        self.end_puncard.Enable(True)
        self.loadDataBase(2)
        threading.Thread(target=self.punchcard_cap,args=(event,)).start()
        #_thread.start_new_thread(self.punchcard_cap,(event,))
        pass
 
    def OnEndPunchCardClicked(self,event):
        self.start_punchcard.Enable(True)
        self.end_puncard.Enable(False)
        pass
 
 
    def initGallery(self):
        self.pic_index = wx.Image("drawable/index.png", wx.BITMAP_TYPE_ANY).Scale(600, 500)
        self.bmp = wx.StaticBitmap(parent=self, pos=(320,0), bitmap=wx.Bitmap(self.pic_index))
        pass
 
    def getDateAndTime(self):
        dateandtime = strftime("%Y-%m-%d %H:%M:%S",localtime())
        return "["+dateandtime+"]"
 
    #數(shù)據(jù)庫(kù)部分
    #初始化數(shù)據(jù)庫(kù)
    def initDatabase(self):
        conn = sqlite3.connect("inspurer.db")  #建立數(shù)據(jù)庫(kù)連接
        cur = conn.cursor()             #得到游標(biāo)對(duì)象
        cur.execute('''create table if not exists worker_info
        (name text not null,
        id int not null primary key,
        face_feature array not null)''')
        cur.execute('''create table if not exists logcat
         (datetime text not null,
         id int not null,
         name text not null,
         late text not null)''')
        cur.close()
        conn.commit()
        conn.close()
 
    def adapt_array(self,arr):
        out = io.BytesIO()
        np.save(out, arr)
        out.seek(0)
 
        dataa = out.read()
        # 壓縮數(shù)據(jù)流
        return sqlite3.Binary(zlib.compress(dataa, zlib.Z_BEST_COMPRESSION))
 
    def convert_array(self,text):
        out = io.BytesIO(text)
        out.seek(0)
 
        dataa = out.read()
        # 解壓縮數(shù)據(jù)流
        out = io.BytesIO(zlib.decompress(dataa))
        return np.load(out)
 
    def insertARow(self,Row,type):
        conn = sqlite3.connect("inspurer.db")  # 建立數(shù)據(jù)庫(kù)連接
        cur = conn.cursor()  # 得到游標(biāo)對(duì)象
        if type == 1:
            cur.execute("insert into worker_info (id,name,face_feature) values(?,?,?)",
                    (Row[0],Row[1],self.adapt_array(Row[2])))
            print("寫(xiě)人臉數(shù)據(jù)成功")
        if type == 2:
            cur.execute("insert into logcat (id,name,datetime,late) values(?,?,?,?)",
                        (Row[0],Row[1],Row[2],Row[3]))
            print("寫(xiě)日志成功")
            pass
        cur.close()
        conn.commit()
        conn.close()
        pass
 
    def loadDataBase(self,type):
 
        conn = sqlite3.connect("inspurer.db")  # 建立數(shù)據(jù)庫(kù)連接
        cur = conn.cursor()  # 得到游標(biāo)對(duì)象
 
        if type == 1:
            self.knew_id = []
            self.knew_name = []
            self.knew_face_feature = []
            cur.execute('select id,name,face_feature from worker_info')
            origin = cur.fetchall()
            for row in origin:
                print(row[0])
                self.knew_id.append(row[0])
                print(row[1])
                self.knew_name.append(row[1])
                print(self.convert_array(row[2]))
                self.knew_face_feature.append(self.convert_array(row[2]))
        if type == 2:
            self.logcat_id = []
            self.logcat_name = []
            self.logcat_datetime = []
            self.logcat_late = []
            cur.execute('select id,name,datetime,late from logcat')
            origin = cur.fetchall()
            for row in origin:
                print(row[0])
                self.logcat_id.append(row[0])
                print(row[1])
                self.logcat_name.append(row[1])
                print(row[2])
                self.logcat_datetime.append(row[2])
                print(row[3])
                self.logcat_late.append(row[3])
        pass
app = wx.App()
frame = WAS()
frame.Show()
app.MainLoop()