【数据结构的补全整理】规定在周一到周五中，赛选出8点到18点中的计划安排，空计划时刻补全空值

# 数据表的设计

class ProMeetTable(models.Model):
    """
        个人安排表
    """
    user = models.ForeignKey(to="UserInfo",verbose_name="所属用户")
    week_choice = (
        (1,"Monday"),
        (2,"Tuesday"),
        (3,"Wednesday"),
        (4,"Thursday"),
        (5,"Friday"),
    )
    week = models.IntegerField(choices=week_choice,verbose_name="星期")
    time_choice = (
        (1, "08:00"),
        (2, "09:00"),
        (3, "10:00"),
        (4, "11:00"),
        (5, "12:00"),
        (6, "13:00"),
        (7, "14:00"),
        (8, "15:00"),
        (9, "16:00"),
        (10, "17:00"),
        (11, "18:00"),
    )
    time = models.IntegerField(choices=week_choice, verbose_name="时刻")
    title = models.CharField(max_length=250,verbose_name="安排",null=True,blank=True)

    def __str__(self):
        return self.title

    class Meta:
        verbose_name = "ProMeetTable"
        verbose_name_plural = verbose_name
        db_table = 'ProMeetTable'



# 假设设计好的个人安排数据

# 接口：


class ProData(APIView):

    authentication_classes = []

    def post(self,request):

        message = {}

        week= [1,2,3,4,5]

        id = int(request.data.get("id"))


        ProTime = []

        # 遍历每个时刻
        for x in [8,9,10,11,12,13,14,15,16,17,18]:
            ProMeetTableRaw = models.ProMeetTable.objects.filter(user_id=id,time=x).all()

            week_plan = []

            for table in ProMeetTableRaw:
                week_plan.append(table.week)

            # 遍历计算出每个时刻空内容的星期 创建一个空包在数据库内
            for week_set in set(week).difference(set(week_plan)):
                models.ProMeetTable.objects.create(week=week_set,time=x,user_id=id,title="")

            # 根据时刻 将周一到周五全部抽出来
            ProMeetTableSet = models.ProMeetTable.objects.filter(user_id=id,time=x).all().order_by("week")
            data_f = {}
            data_f["time"] = "{}:00".format(x)
            for table in ProMeetTableSet:
                data_f[self.type_week(table.week)] = table.title
            ProTime.append(data_f)

            # 删除所有空字段
            models.ProMeetTable.objects.filter(user_id=id, title="").all().delete()

        message['code'] = 200
        message['data'] = ProTime


        return JsonResponse(message)


    def type_time(self, item):
        data = {8: "08:00",9: "09:00",10: "10:00",11: "11:00",12: "12:00",13: "13:00",14: "14:00",
            15: "15:00",16: "16:00",17: "17:00",18: "18:00",}
        res = data[item]
        return res

    def type_week(self, item):
        data = {1: "Monday",2: "Tuesday",3: "Wednesday",4: "Thursday",5: "Friday",}
        res = data[item]
        return res



# 数据渲染

总结：有时候数据结构不方便的时候可以借助数据库(这里建议使用内存型数据库)来整理数据结构也是不错的选择