Merge pull request 'fzh_branch' (#13) from fuzh_branch into master

src/client/in_school.py

@@ -0,0 +1,190 @@
+# from crypt import methods
+# 将对应图片的base64编码解析为图片
+from audioop import add
+import base64
+import os
+from unicodedata import name
+import time
+from flask import Flask,request
+from codecs import ignore_errors
+from pickle import TRUE
+import turtle
+from xmlrpc.client import boolean
+import numpy as np
+from asyncore import write
+import xlrd
+import pandas as pd
+import openpyxl
+from xlrd import Book
+import datetime
+import time
+import time
+from flask import Flask,request
+from encodings import utf_8
+import pymssql
+import json
+import base64
+import jpype
+
+# 出校申请请求的类def decode_base64(base64_data,i):
+    # print(type(base64_data))
+    #print(base64_data)
+    # 如果想要在浏览器上访问base64格式图片，需要在前面加上：data:image/jpeg;base64,
+class in_school:
+    def __init__(self,type='',sno='',name='',phone='',time='',door='',city='',area='',address='',health_code='',Tour_code='',NAT='',Pass=''):
+        self.type=''
+        self.sno=''
+        self.name=''
+        self.phone=''
+        self.time=''
+        self.door=''
+        self.city=''
+        self.area=''
+        self.address=''
+        self.health_code=''
+        self.Tour_code=''
+        self.NAT=''
+        self.Pass=''
+    def in_school1(p,json_data):
+        Conn = pymssql.connect('LAPTOP-FLH9FTB4',"sa","as2799094948","software_project",charset='utf8')
+        cur = Conn.cursor()
+        sql = "Select [sno]  from Form where sno= '{}'".format(json_data['sno'])
+        cur.execute(sql)
+        requests = cur.fetchall()
+        if(len (requests)!=0):
+            return '2'
+        sql = "Select state from [user] where username= '{}'".format(json_data['sno'])
+        cur.execute(sql)
+        requests = cur.fetchall()
+        for row in requests: 
+            if(row[0]==json_data['type']):
+                return '3'
+        cur.close()
+        Conn.close()
+        #将请求得到的数据转换为json格式
+        l1 = len(json_data['test'])
+        '''for i in range(l1):
+            decode_base64(json_data['test'][i],i)  #调用base64编码转换图片的函数得到相应图片并存到目录中'''
+        #查找user表，如果state是在校 就return 2
+        a = in_school()
+        a.type='入校'
+        a.sno=json_data['sno']
+        a.name = json_data['name']
+        a.phone = json_data['phone']
+        a.time = json_data['time']
+        a.door = json_data['door']
+        a.city =json_data['city']
+        a.area =json_data['area']
+        a.address = json_data['address']
+        a.health_code = json_data['test'][0]
+        a.Tour_code = json_data['test'][1]
+        a.NAT = json_data['test'][2]
+        f=a.shengpi1(json_data['area'],json_data['time'],json_data['test'][2],json_data['test'][1],json_data['test'][0])
+        a.Pass = str(f)
+        return a
+    def shengpi1(p,a,b,c,d,e):#a:xx区 b：时间 c：健康码 d：行程码 e：核酸
+                year,month,day=b.split('-',2)
+                Conn = pymssql.connect('LAPTOP-FLH9FTB4',"sa","as2799094948","software_project",charset='utf8')#xxx是防疫表，现在先不填
+                cur = Conn.cursor()
+                sql = "Select [area]  from height"
+                cur.execute(sql)
+                now=str(time.strftime("%d"))#调用本地时间
+                x=0
+                if '区' not in a:
+                    a=a+'区'
+            # wb1=openpyxl.load_workbook('D:\\fanyi.xlsx')
+                #ws1=wb1['Sheet1']
+                #num_rows1 = ws1.max_row  # 总行数
+                #num_cols1 = ws1.max_column
+                row = cur.fetchone() 
+                while row:
+                    if(a==row[0]):
+                        return 3 # ---调用防疫区数据库，将a和防疫区数据库的值进行一一比较，如果找到，返回不通过
+                    row = cur.fetchone()
+                    #-----
+                a2=1
+                if(day!=now):
+                    return 3 #2----将本地时间和b进行比较，如果异常，将数据库中对应用户的通过情况改成不通过。
+                #2----
+                #jarpath =r"D:\tupian\OCR_baidu.jar" # jar包地址
+                #jvmPath = jpype.getDefaultJVMPath()
+                #jpype.startJVM(jvmPath, "-ea", "-Djava.class.path=%s" % (jarpath))
+                java1 = jpype.JClass("HealthCode")
+                java2 = jpype.JClass("TripCode")
+                java3 = jpype.JClass("CovidTestRep")
+                j1 = java1()
+                j2 = java2()
+                j3 = java3()
+                a2=1
+                path="D:/tupian//12.jpg"
+                with open(path,'wb') as file:
+                        img = base64.b64decode(c)
+                        file.write(img)
+                str1 = str(j1.Judge(r"D:\tupian\12.jpg")) #Hst, Hname, Hdata 对应健康码颜色，姓名，日期3---- 将c传给ocr，让ocr把颜色传回来，对应给参数进行比较，如果异常，将数据库中对应用户的通过情况改成不通过。
+                Hst, Hname, Hdata = str1.split(',')
+                year1,month1,day1=Hdata.split('-')
+                #if(year1!=year or month!= month1 or day!=day1):
+                    #return 3
+                print(Hst)
+                #if(Hst!='S绿'):
+                    #return 3
+                path="D:/tupian//13.jpg"
+                with open(path,'wb') as file:
+                        img = base64.b64decode(d)
+                        file.write(img)
+                str2 = str(j2.Judge(r"D:\tupian\13.jpg")) 
+                Tst, Ttel, Tdata, Tdis = str2.split(',')#Tst, Ttel, Tdata, Tdis 对应行程码颜色，电话，日期，去过的地方4--- 将d传给ocr，让ocr把地点，颜色传回来， 查看行程码是否是正常，如果异常，将数据库中对应用户的通过情况改成不通过。
+                year2,month2,day2=Tdata.split('.')
+                #if(year2!=year or month!= month2 or day!=day2):
+                    #return 3
+                if(Tdis!='天津市'):
+                   
+                    
+                    return 3
+                #4---
+                path="D://tupian/11.jpg"
+                with open(path,'wb') as file:
+                        img = base64.b64decode(e)
+                        file.write(img)
+                str3 = str(j3.Judge(r"D:\tupian\11.jpg"))  
+                Cst, Cname, Cdata = str3.split(',')#Cst, Cname, Cdata 对应 核酸结果 姓名 核酸日期5--- 将e传给ocr，让ocr把状态传回来， 查看核酸是否是正常，如果异常，将数据库中对应用户的通过情况改成不通过。
+                year3,month3,day3=Cdata.split('-')
+                #if(year3!=year or month!= month3 or day-day3<=14):
+                    #return 3
+                if(Cst!='阴性'):
+                   
+                    
+                    return 3
+                    
+               
+                return 2
+
+
+    # 路由交换数据
+    # def change(self):
+    #     app= Flask(__name__)
+    #     @app.route('/',methods=['GET','POST'])#开启app.route，进到根目录里面
+    #     def hello_world():
+    #         json_data = request.json  #将请求得到的数据转换为json格式
+    #         l1 = len(json_data['test'])
+    #         for i in range(l1):
+    #             decode_base64(json_data['test'][i],i)  #调用base64编码转换图片的函数得到相应图片并存到目录中
+
+    #         self.name = json_data['name']
+    #         self.sno = json_data['sno']
+    #         self.phone = json_data['phone']
+    #         self.time = json_data['time']
+    #         self.door = json_data['door']
+    #         self.city =json_data['city']
+    #         self.area =json_data['area']
+    #         self.address = json_data['address']
+            
+    #         return '1'  #如果一切正常则返回1
+    #     app.run(host='127.0.0.1',port=2022)
+    
+# if __name__=='__main__':
+#     a = in_school1()
+#     a.change()
+#     print(a.name)
+#     print(a.sno)
+#     print(a.)

src/client/main.py

@@ -0,0 +1,172 @@
+from audioop import add
+import base64
+import os
+import json
+from unicodedata import name
+from codecs import ignore_errors
+from pickle import TRUE
+import turtle
+from xmlrpc.client import boolean
+import numpy as np
+from asyncore import write
+import xlrd
+import pandas as pd
+import openpyxl
+from xlrd import Book
+import datetime
+import time
+from flask import Flask,request
+from encodings import utf_8
+import pymssql
+import json
+import base64
+from out_school import out_school
+from in_school import in_school
+import time
+from flask import Flask,request
+from shengpi import approval
+from admin_log import admin_log
+from user_log import user_log
+from view import view
+from scan_the_code import scan_the_code
+import jpype
+app= Flask(__name__)
+@app.route('/',methods=['GET','POST'])
+def hello():
+    return '2'
+@app.route('/uesr',methods=['GET','POST'])
+def log():
+    a= request.json
+    user=user_log()
+    a1=user.user_log1(a)
+    return a1
+@app.route('/admin',methods=['GET','POST'])
+def log1():
+    a= request.json
+    admin=admin_log()
+    a1=admin.admin_log1(a)
+    #a='{"a":{"test":1},"b":2,"c":3,"d":4,"e":5}'
+    return a1
+@app.route('/in_school',methods=['GET','POST'])#开启app.route，进到根目录里面
+def in_school1():
+    json_data = request.json
+    a=in_school()
+    b=a.in_school1(json_data)
+    
+    if(b=='2' or b == '3'):
+        print(b)
+        return b
+    to_mssql(b)
+    # print(a.sno)
+    return '1'
+    
+
+@app.route('/out_school',methods=['GET','POST'])#开启app.route，进到根目录里面
+def out_school1():
+    json_data = request.json  #将请求得到的数据转换为json格式
+    a=out_school()
+    b=a.out_school1(json_data)
+    
+    if(b=='2' or b == '3'):
+        return b
+    to_mssql(b)
+    return '1'
+def a():
+    password = request.values.get("password")
+    print(password)
+
+@app.route('/shengpi',methods=['GET','POST'])
+def Userdisplay():  #收到request返回所有没有通过申请的用户名字的列表
+    a=approval()
+    data=a.list()
+    data=json.dumps(data,ensure_ascii=False)
+    return data
+
+@app.route('/info',methods=['GET','POST'])
+def Userdisplay1():  #收到学号返回该用户信息
+    a=approval()
+    b=a.list2()
+    a=json.dumps(b,ensure_ascii=False)
+    data=json.loads(a)
+    # print(data)
+    return data
+
+
+
+def to_mssql(a):  
+    Conn = pymssql.connect('LAPTOP-FLH9FTB4',"sa","as2799094948","software_project",charset='utf8')
+    
+    if Conn:
+        print ("连接成功")    
+    else:
+        print("失败")
+
+    # print(a.type,a.sno,a.name,a.phone,a.time,a.door,a.city,a.area,a.address,a.health_code,a.Tour_code,a.NAT,a.Pass)
+    # print(type(a.NAT))
+
+    cur = Conn.cursor()
+    print(a.Pass)
+    insert = "insert into Form([type] ,[sno] ,[name] ,[phone] ,[time] ,[door] ,[city] ,[area] ,[address] ,[health_code] ,[Tour_code] ,[NAT] ,[Pass]) values ('%s','%s','%s','%s','%s','%s','%s','%s','%s','%s','%s','%s','%s') ; COMMIT"%(
+        a.type,a.sno,a.name,a.phone,a.time,a.door,a.city,a.area,a.address,a.health_code,a.Tour_code,a.NAT,a.Pass
+    )
+    cur.execute(insert)
+    print("qqqqq")
+ 
+    cur.close()
+    Conn.close()
+
+
+@app.route('/access',methods=['GET','POST'])#开启app.route，进到根目录里面
+def access():
+    # return '1'
+    a= request.json
+    a1=approval()
+    a1.shengpi2(a)
+    return '1'
+@app.route('/state',methods=['GET','POST'])
+def State():
+    a = request.json
+    num = a['sno']
+    print(num)
+    Conn = pymssql.connect(server="LAPTOP-FLH9FTB4",#本地服务器
+                            user="sa",password="as2799094948",
+                            database="software_project",
+                            charset="utf8")
+    cur = Conn.cursor()
+    Query = 'Select [Pass] from Form where [sno] = %s'%num
+    cur.execute(Query)
+    p = cur.fetchall()
+    if(len(p)==0):
+        print('您还没有提交表单或您的申请已被管理员驳回')
+        return '您还没有提交表单或您的申请已被管理员驳回'
+    if p[0][0] == '1':
+        print('您的申请表待审核')
+        return '您的申请表待审核'
+    elif p[0][0] == '2':
+        print('您的申请表已通过审核')
+        return '您的申请表已通过审核'
+    elif p[0][0] == '3':
+        print('您的申请表自动审批未通过，等待管理员审批')
+        return '您的申请表自动审批未通过，等待管理员审批'
+    else:
+        print('error')
+        return 'error'
+# 查看疫情信息
+@app.route('/look_info',methods=['GET','POST'])
+def look():
+    json_data = request.json
+    a=view()
+    b=a.view1(json_data)
+    return b
+@app.route('/scan_the_code',methods=['GET','POST'])#开启app.route，进到根目录里面
+def scan():
+    data = request.json
+    a=scan_the_code()
+    b=a.scan_the_code1(data)
+    return b
+if __name__ == "__main__":
+    jarpath =r"D:\tupian\OCR_baidu.jar"
+    jvmPath = jpype.getDefaultJVMPath()
+    jpype.startJVM(jvmPath, "-ea", "-Djava.class.path=%s" % (jarpath))
+    app.run(host='127.0.0.1',port=2020)
+    jpype.shutdownJVM ()

src/client/out_school.py

@@ -0,0 +1,149 @@
+from codecs import ignore_errors
+from pickle import TRUE
+import turtle
+from xmlrpc.client import boolean
+import numpy as np
+from asyncore import write
+import xlrd
+import pandas as pd
+import openpyxl
+from xlrd import Book
+import datetime
+import time
+import time
+from flask import Flask,request
+from encodings import utf_8
+import pymssql
+import json
+import base64
+import jpype
+
+class out_school:
+    def __init__(self,type='',sno='',name='',phone='',time='',door='',city='',area='',address='',health_code='',Tour_code='',NAT='',Pass=''):
+        self.type=''
+        self.sno=''
+        self.name=''
+        self.phone=''
+        self.time=''
+        self.door=''
+        self.city=''
+        self.area=''
+        self.address=''
+        self.health_code=''
+        self.Tour_code=''
+        self.NAT=''
+        self.Pass=''
+    def out_school1(p,json_data):
+        l1 = len(json_data['test'])
+        Conn = pymssql.connect('LAPTOP-FLH9FTB4',"sa","as2799094948","software_project",charset='utf8')
+        cur = Conn.cursor()
+        sql = "Select [sno]  from Form where sno= '{}'".format(json_data['sno'])
+        cur.execute(sql)
+        requests = cur.fetchall()
+        if(len (requests)!=0):
+            return '2'
+        sql = "Select state from [user] where username= '{}'".format(json_data['sno'])
+        cur.execute(sql)
+        requests = cur.fetchall()
+        for row in requests: 
+            print(type(json_data['type']))
+            if(row[0]==json_data['type']):
+                return '3'
+        cur.close()
+        Conn.close()
+        '''for i in range(l1):
+            decode_base64(json_data['test'][i],i+3)  #调用base64编码转换图片的函数得到相应图片并存到目录中'''
+        #查找user表，如果state是出校 就return 2
+        a = out_school()
+        a.type = '出校'
+        a.sno = json_data['sno']
+        a.name = json_data['name']
+        a.phone = json_data['phone']
+        a.time = json_data['time']
+        a.door = json_data['door']
+        a.city =json_data['city']
+        a.area =json_data['area']
+        a.address = json_data['address']
+        a.health_code = json_data['test'][0]
+        a.Tour_code = json_data['test'][1]
+        a.NAT = json_data['test'][2]
+        f=a.shengpi1(json_data['area'],json_data['time'],json_data['test'][1],json_data['test'][2],json_data['test'][0])
+        a.Pass=f
+        return a
+    def shengpi1(p,a,b,c,d,e):#a:xx区 b：时间 c：健康码 d：行程码 e：核酸
+            year,month,day=b.split('-',2)
+            Conn = pymssql.connect('LAPTOP-FLH9FTB4',"sa","as2799094948","software_project",charset='utf8')#xxx是防疫表，现在先不填
+            cur = Conn.cursor()
+            sql = "Select [area]  from height"
+            cur.execute(sql)
+            now=str(time.strftime("%d"))#调用本地时间
+            x=0
+            if '区' not in a:
+                a=a+'区'
+            row = cur.fetchone() 
+            while row:
+                if(a==row[0]):
+                    return 3 # ---调用防疫区数据库，将a和防疫区数据库的值进行一一比较，如果找到，返回不通过
+                row = cur.fetchone()
+                #-----
+            sql = "Select [area]  from middle"
+            cur.execute(sql)
+            row = cur.fetchone() 
+            while row:
+                if(a==row[0]):
+                    return 3 # ---调用防疫区数据库，将a和防疫区数据库的值进行一一比较，如果找到，返回不通过
+                row = cur.fetchone()
+            a2=1
+            if(day!=now):
+                return 3 #2----将本地时间和b进行比较，如果异常，将数据库中对应用户的通过情况改成不通过。
+            #2----
+            #jarpath =r"D:\tupian\OCR_baidu.jar" # jar包地址
+            #jvmPath = jpype.getDefaultJVMPath()
+            #jpype.startJVM(jvmPath, "-ea", "-Djava.class.path=%s" % (jarpath))
+            java1 = jpype.JClass("HealthCode")
+            java2 = jpype.JClass("TripCode")
+            java3 = jpype.JClass("CovidTestRep")
+            j1 = java1()
+            j2 = java2()
+            j3 = java3()
+            a2=1
+            path="D:/tupian//12.jpg"
+            with open(path,'wb') as file:
+                    img = base64.b64decode(c)
+                    file.write(img)
+            str1 = str(j1.Judge(r"D:\tupian\12.jpg")) #Hst, Hname, Hdata 对应健康码颜色，姓名，日期3---- 将c传给ocr，让ocr把颜色传回来，对应给参数进行比较，如果异常，将数据库中对应用户的通过情况改成不通过。
+            Hst, Hname, Hdata = str1.split(',')
+            year1,month1,day1=Hdata.split('-')
+            #if(year1!=year or month!= month1 or day!=day1):
+                #return 3
+            if(Hst!='S绿'):
+                
+                
+                return 3
+            path="D:/tupian//13.jpg"
+            with open(path,'wb') as file:
+                    img = base64.b64decode(d)
+                    file.write(img)
+            str2 = str(j2.Judge(r"D:\tupian\13.jpg")) 
+            Tst, Ttel, Tdata, Tdis = str2.split(',')#Tst, Ttel, Tdata, Tdis 对应行程码颜色，电话，日期，去过的地方4--- 将d传给ocr，让ocr把地点，颜色传回来， 查看行程码是否是正常，如果异常，将数据库中对应用户的通过情况改成不通过。
+            year2,month2,day2=Tdata.split('.')
+            #if(year2!=year or month!= month2 or day!=day2):
+                #return 3
+            if(Tdis!='天津市'):
+                
+                return 3
+            #4---
+            path="D://tupian/11.jpg"
+            with open(path,'wb') as file:
+                    img = base64.b64decode(e)
+                    file.write(img)
+            str3 = str(j3.Judge(r"D:\tupian\11.jpg"))  
+            Cst, Cname, Cdata = str3.split(',')#Cst, Cname, Cdata 对应 核酸结果 姓名 核酸日期5--- 将e传给ocr，让ocr把状态传回来， 查看核酸是否是正常，如果异常，将数据库中对应用户的通过情况改成不通过。
+            year3,month3,day3=Cdata.split('-')
+            #if(year3!=year or month!= month3 or day-day3<=14):
+                    #return 3
+            if(Cst!='阴性'):
+                
+                return 3
+            
+            return 2

src/client/shengpi.py

@@ -0,0 +1,113 @@
+from codecs import ignore_errors
+from pickle import TRUE
+import turtle
+from xmlrpc.client import boolean
+import numpy as np
+from asyncore import write
+import xlrd
+import pandas as pd
+import openpyxl
+from xlrd import Book
+import datetime
+import time
+import time
+from flask import Flask,request
+from encodings import utf_8
+import pymssql
+import json
+import base64
+import jpype
+class approval:
+    def shengpi2(p,a):#a:xx区 b：时间 c：健康码 d：行程码 e：核酸
+        Conn = pymssql.connect('LAPTOP-FLH9FTB4',"sa","as2799094948","software_project",charset='utf8')
+        cur = Conn.cursor()
+        sql = "Select [type] ,[sno] ,[name] ,[phone] ,[time] ,[door] ,[city] ,[area] ,[address] ,[health_code] ,[Tour_code] ,[NAT] ,[Pass] from Form"
+        cur.execute(sql)
+        row = cur.fetchone()
+        sno=a['data']
+        sno1,sno=sno.split('：')
+        print(sno)
+        print(a['condition'])
+        while row:
+            if(row[1]==sno):
+                if(a['condition'] == '通过'):
+                    change = "update Form set [Pass] = '2' where [sno] = '%s';COMMIT"%row[1]
+                elif a['condition'] == '不通过':
+                    change = "delete From Form where [sno] = '%s';COMMIT"%row[1]
+                cur.execute(change)
+                break
+                #把row找到的这个值的通过情况改为xxx
+            row = cur.fetchone()
+        cur.close()
+        Conn.close()
+    def list(p):
+        Conn = pymssql.connect('LAPTOP-FLH9FTB4',"sa","as2799094948","software_project",charset='utf8')
+        cur = Conn.cursor()
+        sql = "Select [type] ,[sno] ,[name] ,[phone] ,[time] ,[door] ,[city] ,[area] ,[address] ,[health_code] ,[Tour_code] ,[NAT] ,[Pass] from Form"
+        cur.execute(sql)
+        row = cur.fetchone()
+        data={
+            'test1':[],
+        }
+        while row:  
+        # #row[1].encode('big5hkscs')
+        # print(row[1].encode('latin1').decode('gbk'))
+            if(row[12]=='3'):
+                data['test1'].append(row[2])#将每一行的名字进行对code的编码和在code的基础上进行gbk解码
+            row = cur.fetchone()
+        cur.close()
+        Conn.close()
+        return data
+    def list2(p):
+        Conn = pymssql.connect('LAPTOP-FLH9FTB4',"sa","as2799094948","software_project",charset='utf8')
+        cur = Conn.cursor()
+        sql = "Select [type] ,[sno] ,[name] ,[phone] ,[time] ,[door] ,[city] ,[area] ,[address] ,[health_code] ,[Tour_code] ,[NAT] ,[Pass] from Form"
+        cur.execute(sql)
+        row = cur.fetchone()
+        b={
+                    'test1':[],
+                    'text':'2',
+                    'image':[]
+                }
+        number=0
+        while row:
+            if(row[12]=='3'):
+                b['image'].append([])
+                b['image'][number].append(row[9])
+                b['image'][number].append(row[10])
+                b['image'][number].append(row[11])
+                b['test1'].append([])
+                b['test1'][number].append('申请表类型：{}'.format(row[0]))
+                b['test1'][number].append('姓名：{}'.format(row[2]))
+                b['test1'][number].append('学号：{}'.format(row[1]))
+                b['test1'][number].append('联系电话：{}'.format(row[3]))
+                b['test1'][number].append('时间：{}'.format(row[4]))
+                b['test1'][number].append('校门：{}'.format(row[5]))
+                b['test1'][number].append('省市：{}'.format(row[6]))
+                b['test1'][number].append('区：{}'.format(row[7]))
+                b['test1'][number].append('详细地址：{}'.format(row[8]))
+                # b['test1'][number].append('健康码：{}'.format(row[9]))
+                # b['test1'][number].append('行程码：{}'.format(row[10]))
+                # b['test1'][number].append('核酸：{}'.format(row[11]))
+                b['test1'][number].append('通过情况:不通过')
+                number=number+1
+            row = cur.fetchone()
+        cur.close()
+        Conn.close()
+        return b
+
+'''a1=shengpi()
+path="D://tupian/11.jpg"
+with open(path,'rb') as file:
+        a=file.read()
+        img = base64.b64encode(a)
+path="D://tupian/12.jpg"
+with open(path,'rb') as file:
+        a=file.read()
+        img1 = base64.b64encode(a)
+path="D://tupian/13.jpg"
+with open(path,'rb') as file:
+        a=file.read()
+        img2 = base64.b64encode(a)
+
+print(a1.shengpi1(str('爱华'),'2022-11-12',img1,img2,img))'''

src/client/view.py

@@ -0,0 +1,96 @@
+from audioop import add
+import base64
+import os
+import json
+from unicodedata import name
+from codecs import ignore_errors
+from pickle import TRUE
+import turtle
+from xmlrpc.client import boolean
+import numpy as np
+from asyncore import write
+import xlrd
+import pandas as pd
+import openpyxl
+from xlrd import Book
+import datetime
+import time
+from flask import Flask,request
+from encodings import utf_8
+import pymssql
+import json
+import base64
+from out_school import out_school
+from in_school import in_school
+import time
+class view():
+    def view1(p,json_data):
+        print(type(json_data['name']))
+        area=json_data['name']
+        data={
+        'height':[],
+        'middle':[],
+        'low':[]
+        }
+        conn =pymssql.connect(
+                            server="LAPTOP-FLH9FTB4",#本地服务器
+                            user="sa",password="as2799094948",
+                            database="software_project",
+                            charset="utf8"
+        #这里设置全局的GBK，如果设置的是UTF—8需要将数据库默认的GBK转化成UTF-8    
+            )
+        if conn:
+            print('连接数据库成功!')#测试是否连接上
+        #高风险地区
+        cursor =conn.cursor()  #使用cursor()方法获取操作游标
+        if area=='全部':sql_select="SELECT location FROM height order by location"
+        else:sql_select="SELECT location FROM height where area ='{}' order by location".format(area)
+        # sql_select="SELECT location FROM height where location like '{}%'".format(area)  #数据库查询语句
+        cursor.execute(sql_select) #执行语句
+        results =cursor.fetchall() #获取所有记录列表
+        if len(results)==0:
+            print('该地区暂无高风险区域')
+            data['height'].append('该地区暂无高风险区域')
+        else:
+            print('共查询到{}条信息'.format(len(results)))
+            data['height'].append('共查询到{}条信息'.format(len(results)))
+        for result in results:
+            print(result[0])
+            data['height'].append(result[0])
+
+        #中风险地区
+        cursor =conn.cursor()  #使用cursor()方法获取操作游标
+        if area=='全部':sql_select="SELECT location FROM middle order by location"
+        else:sql_select="SELECT location FROM middle where area ='{}' order by location".format(area)
+        cursor.execute(sql_select) #执行语句
+        results =cursor.fetchall() #获取所有记录列表
+        if len(results)==0:
+            print('该地区暂无中风险区域')
+            data['middle'].append('该地区暂无中风险区域')
+        else:
+            print('共查询到{}条信息'.format(len(results)))
+            data['middle'].append('共查询到{}条信息'.format(len(results)))
+        for result in results:
+            print(result[0])
+            data['middle'].append(result[0])
+
+        #低风险地区
+        cursor =conn.cursor()  #使用cursor()方法获取操作游标
+        if area=='全部':sql_select="SELECT location FROM low order by location"
+        else:sql_select="SELECT location FROM low where area ='{}' order by location".format(area)
+        cursor.execute(sql_select) #执行语句
+        results =cursor.fetchall() #获取所有记录列表
+        if len(results)==0:
+            print('该地区暂无低风险区域')
+            data['low'].append('该地区暂无低风险区域')
+        else:
+            print('共查询到{}条信息'.format(len(results)))
+            data['low'].append('共查询到{}条信息'.format(len(results)))
+        for result in results:
+            print(result[0])
+            data['low'].append(result[0])
+        conn.commit()
+        cursor.close()
+        conn.close()
+        b=json.dumps(data,ensure_ascii=False)
+        return b