用python的Django框架写大乐透数据采集预测系统
2024-04-24 12:42:03
何以解忧/唯有暴富/用代码实现人生的致富理想-大乐透
资源下载
1.数据采集的实现
#-*-coding:utf-8-*-
import requests
import re
from lxml import etree
import datetime
import requests
import json
def geturl(URL="http://datachart.500.com/dlt/history/newinc/history.php?limit=3000"):try:data = requests.get(URL).content.decode('utf-8')return dataexcept:data = requests.get(URL).content.decode('gb2312')return dataelse:data = requests.get(URL).content.decode('gbk')return data
几行代码，获取所有的大乐透数据[好像实际只有2010条左右的数据]
2.搭建django项目
创建项目框架
django-admin startproject lottery
创建app模块
python manage.py startapp dlt
创建一个文件夹管理封装的其他工具函数
---LOTTERY|---lottery|---asgi.py|---settings.py|---urls.py|---wsgi.py|---dlt|---admin.py|---tests.py|---apps.py|---models.py|---serializers.py|---views.py|---tool[工具类文件夹]|---getnum.py|---guess.py
3.编辑settings.py进行项目的相关设置
INSTALLED_APPS：注册创建好的模块包，如果创建多个要在这里写明
INSTALLED_APPS = [...'rest_framework','rest_framework.authtoken','dlt' ,#自己创建的app模块
]
ALLOWED_HOSTS：让局域网内的用户能够访问
ALLOWED_HOSTS = ["*"]
上传文件：要给上传文件的地方配置一个路径
MEDIA_URL = '/media/'
MEDIA_ROOT = os.path.join(BASE_DIR, 'media')
LANGUAGE_CODE = ‘en-us’ ：修改下admin管理中文
LANGUAGE_CODE = 'zh-hans'
如果不使用本地数据库
DATABASES = {'default': {'ENGINE': 'django.db.backends.mysql','NAME': '数据库名字','USER': 'root','PASSWORD': '数据库密码','HOST': '数据库路径：127.0.0.1','PORT': '数据库端口',}
}
4.设计整个django项目的models结构
from django.db import models
from django.contrib import admin
from django.dispatch import receiver
from django.db.models.signals import post_save
from django.conf import settings
from django.contrib.auth.models import User
from rest_framework.authtoken.models import Token
@receiver(post_save, sender=settings.AUTH_USER_MODEL)
def create_auth_token(sender, instance=None, created=False, **kwargs):if created:Token.objects.create(user=instance)
class LotteryData(models.Model):"""每期开奖数据"""order = models.PositiveIntegerField(verbose_name='期号', help_text='期号（PositiveIntegerField）', blank=True,null=True)red1 = models.PositiveIntegerField(verbose_name='红球1', help_text='红球1（PositiveIntegerField）', blank=True,null=True)red2 = models.PositiveIntegerField(verbose_name='红球2', help_text='红球2（PositiveIntegerField）', blank=True,null=True)red3 = models.PositiveIntegerField(verbose_name='红球3', help_text='红球3（PositiveIntegerField）', blank=True,null=True)red4 = models.PositiveIntegerField(verbose_name='红球4', help_text='红球4（PositiveIntegerField）', blank=True,null=True)red5 = models.PositiveIntegerField(verbose_name='红球5', help_text='红球5（PositiveIntegerField）', blank=True,null=True)blue1 = models.PositiveIntegerField(verbose_name='蓝球1', help_text='蓝球1（PositiveIntegerField）', blank=True,null=True)blue2 = models.PositiveIntegerField(verbose_name='蓝球2', help_text='蓝球2（PositiveIntegerField）', blank=True,null=True)date = models.CharField(max_length=20, verbose_name='开奖日期', help_text='开奖日期（CharField）', blank=True)class Meta:ordering = ['-id'] #排序verbose_name = '开奖数据' #表示要显示的应用模块的中文名 verbose_name_plural = verbose_name #表示已经是复数形式不用再自动加Sdef __str__(self):# 返回部门名称return str(self.order)+'期:'+str(self.red1)+' ' +str(self.red2)+' ' +str(self.red3)+' ' +str(self.red4)+' ' +str(self.red5)+' ' +str(self.blue1)+' ' +str(self.blue2)+' 开奖时间' +str(self.date)
@admin.register(LotteryData)
class LotteryDataAdminModel(admin.ModelAdmin):"""注册开奖数据到admin系统进行管理"""# 添加分页list_per_page = 100# 列表页展示的字段list_display = ('id','order','red1','red2', 'red3', 'red4', 'red5', 'blue1','blue1','blue2','date')# 搜索框search_fields=('id','order','date')
class LotteryDataForecast(models.Model):"""每期开奖预测数据"""order = models.ForeignKey("LotteryData",verbose_name='上期', help_text='上期（ForeignKey）', blank=True,null=True, on_delete=models.PROTECT)red1 = models.PositiveIntegerField(verbose_name='红球1', help_text='红球1（PositiveIntegerField）', blank=True,null=True)red2 = models.PositiveIntegerField(verbose_name='红球2', help_text='红球2（PositiveIntegerField）', blank=True,null=True)red3 = models.PositiveIntegerField(verbose_name='红球3', help_text='红球3（PositiveIntegerField）', blank=True,null=True)red4 = models.PositiveIntegerField(verbose_name='红球4', help_text='红球4（PositiveIntegerField）', blank=True,null=True)red5 = models.PositiveIntegerField(verbose_name='红球5', help_text='红球5（PositiveIntegerField）', blank=True,null=True)blue1 = models.PositiveIntegerField(verbose_name='蓝球1', help_text='蓝球1（PositiveIntegerField）', blank=True,null=True)blue2 = models.PositiveIntegerField(verbose_name='蓝球2', help_text='蓝球2（PositiveIntegerField）', blank=True,null=True)class Meta:ordering = ['-id'] #排序verbose_name = '开奖预测数据' #表示要显示的应用模块的中文名 verbose_name_plural = verbose_name #表示已经是复数形式不用再自动加Sdef __str__(self):# 返回部门名称return str(self.order.order)+'期下一期预测数据:'+str(self.red1)+' ' +str(self.red2)+' ' +str(self.red3)+' ' +str(self.red4)+' ' +str(self.red5)+' ' +str(self.blue1)+' ' +str(self.blue2)
@admin.register(LotteryDataForecast)
class LotteryDataForecastAdminModel(admin.ModelAdmin):"""注册开奖预测数据到admin系统进行管理"""# 添加分页list_per_page = 100# 列表页展示的字段list_display = ('id','order','red1','red2', 'red3', 'red4', 'red5', 'blue1','blue1','blue2')# 搜索框search_fields=('id','order')
class Difference(models.Model):"""每期开奖预测数据和真实开奖差异"""order = models.ForeignKey("LotteryData",verbose_name='上期', help_text='上期（ForeignKey）', blank=True,null=True, on_delete=models.PROTECT)red1 = models.IntegerField(verbose_name='红球1差异', help_text='红球1差异（PositiveIntegerField）', blank=True,null=True)red2 = models.IntegerField(verbose_name='红球2差异', help_text='红球2差异（PositiveIntegerField）', blank=True,null=True)red3 = models.IntegerField(verbose_name='红球3差异', help_text='红球3差异（PositiveIntegerField）', blank=True,null=True)red4 = models.IntegerField(verbose_name='红球4差异', help_text='红球4差异（PositiveIntegerField）', blank=True,null=True)red5 = models.IntegerField(verbose_name='红球5差异', help_text='红球5差异（PositiveIntegerField）', blank=True,null=True)blue1 = models.IntegerField(verbose_name='蓝球1差异', help_text='蓝球1差异（PositiveIntegerField）', blank=True,null=True)blue2 = models.IntegerField(verbose_name='蓝球2差异', help_text='蓝球2差异（PositiveIntegerField）', blank=True,null=True)class Meta:ordering = ['-id'] #排序verbose_name = '开奖和预测数据之前的差异' #表示要显示的应用模块的中文名 verbose_name_plural = verbose_name #表示已经是复数形式不用再自动加Sdef __str__(self):# 返回部门名称return self.order
@admin.register(Difference)
class DifferenceAdminModel(admin.ModelAdmin):"""注册开奖预测数据到admin系统进行管理"""# 添加分页list_per_page = 100# 列表页展示的字段list_display = ('id','order','red1','red2', 'red3', 'red4', 'red5', 'blue1','blue1','blue2')# 搜索框search_fields=('id','order')
class ChangeNum(models.Model):"""本期比上期差值"""order = models.ForeignKey("LotteryData",verbose_name='本期', help_text='本期（ForeignKey）', blank=True,null=True, on_delete=models.PROTECT)red1 = models.IntegerField(verbose_name='红球1比上期', help_text='红球1比上期（PositiveIntegerField）', blank=True,null=True)red2 = models.IntegerField(verbose_name='红球2比上期', help_text='红球2比上期（PositiveIntegerField）', blank=True,null=True)red3 = models.IntegerField(verbose_name='红球3比上期', help_text='红球3比上期（PositiveIntegerField）', blank=True,null=True)red4 = models.IntegerField(verbose_name='红球4比上期', help_text='红球4比上期（PositiveIntegerField）', blank=True,null=True)red5 = models.IntegerField(verbose_name='红球5比上期', help_text='红球5比上期（PositiveIntegerField）', blank=True,null=True)blue1 = models.IntegerField(verbose_name='蓝球1比上期', help_text='蓝球1比上期（PositiveIntegerField）', blank=True,null=True)blue2 = models.IntegerField(verbose_name='蓝球2比上期', help_text='蓝球2比上期（PositiveIntegerField）', blank=True,null=True)class Meta:ordering = ['-id'] #排序verbose_name = '比上期变化' #表示要显示的应用模块的中文名 verbose_name_plural = verbose_name #表示已经是复数形式不用再自动加Sdef __str__(self):# 返回部门名称return self.order
@admin.register(ChangeNum)
class ChangeNumAdminModel(admin.ModelAdmin):"""本期比上期差值"""# 添加分页list_per_page = 100# 列表页展示的字段list_display = ('id','order','red1','red2', 'red3', 'red4', 'red5', 'blue1','blue1','blue2')# 搜索框search_fields=('id','order')
class ChangeNumMean(models.Model):"""差值均值"""order = models.ForeignKey("LotteryData",verbose_name='本期', help_text='本期（ForeignKey）', blank=True,null=True, on_delete=models.PROTECT)red1 = models.FloatField(verbose_name='红球1平均变化', help_text='红球1平均变化（PositiveIntegerField）', blank=True,null=True)red2 = models.FloatField(verbose_name='红球2平均变化', help_text='红球2平均变化（PositiveIntegerField）',blank=True,null=True)red3 = models.FloatField(verbose_name='红球3平均变化', help_text='红球3平均变化（PositiveIntegerField）',blank=True,null=True)red4 = models.FloatField(verbose_name='红球4平均变化', help_text='红球4平均变化（PositiveIntegerField）',blank=True,null=True)red5 = models.FloatField(verbose_name='红球5平均变化', help_text='红球5平均变化（PositiveIntegerField）', blank=True,null=True)blue1 = models.FloatField(verbose_name='蓝球1平均变化', help_text='蓝球1平均变化（PositiveIntegerField）', blank=True,null=True)blue2 = models.FloatField(verbose_name='蓝球2平均变化', help_text='蓝球2平均变化（PositiveIntegerField）',blank=True,null=True)class Meta:ordering = ['-id'] #排序verbose_name = '差值均值' #表示要显示的应用模块的中文名 verbose_name_plural = verbose_name #表示已经是复数形式不用再自动加Sdef __str__(self):# 返回部门名称return self.order
@admin.register(ChangeNumMean)
class ChangeNumMeanAdminModel(admin.ModelAdmin):"""注册开奖预测数据到admin系统进行管理"""# 添加分页list_per_page = 100# 列表页展示的字段list_display = ('id','order','red1','red2', 'red3', 'red4', 'red5', 'blue1','blue1','blue2')# 搜索框search_fields=('id','order')
class ChangeNumSum(models.Model):"""差值均值"""order = models.ForeignKey("LotteryData",verbose_name='本期', help_text='本期（ForeignKey）', blank=True,null=True, on_delete=models.PROTECT)red1 = models.IntegerField(verbose_name='红球1变化合计', help_text='红球1变化合计（PositiveIntegerField）', blank=True,null=True)red2 = models.IntegerField(verbose_name='红球2变化合计', help_text='红球2变化合计（PositiveIntegerField）',blank=True,null=True)red3 = models.IntegerField(verbose_name='红球3变化合计', help_text='红球3变化合计（PositiveIntegerField）',blank=True,null=True)red4 = models.IntegerField(verbose_name='红球4变化合计', help_text='红球4变化合计（PositiveIntegerField）',blank=True,null=True)red5 = models.IntegerField(verbose_name='红球5变化合计', help_text='红球5变化合计（PositiveIntegerField）', blank=True,null=True)blue1 = models.IntegerField(verbose_name='蓝球1变化合计', help_text='蓝球1变化合计（PositiveIntegerField）', blank=True,null=True)blue2 = models.IntegerField(verbose_name='蓝球2变化合计', help_text='蓝球2变化合计（PositiveIntegerField）',blank=True,null=True)class Meta:ordering = ['-id'] #排序verbose_name = '变化合计' #表示要显示的应用模块的中文名 verbose_name_plural = verbose_name #表示已经是复数形式不用再自动加Sdef __str__(self):# 返回部门名称return self.order
@admin.register(ChangeNumSum)
class ChangeNumSumAdminModel(admin.ModelAdmin):"""注册开奖预测数据到admin系统进行管理"""# 添加分页list_per_page = 100# 列表页展示的字段list_display = ('id','order','red1','red2', 'red3', 'red4', 'red5', 'blue1','blue1','blue2')# 搜索框search_fields=('id','order')
class Reptiles(models.Model):"""爬虫执行模型：用于执行爬虫程序"""title = models.CharField(max_length=255, verbose_name='记录操作', help_text='记录操作', blank=True)class Meta:ordering = ['-id']verbose_name = '爬虫执行'verbose_name_plural = verbose_namedef __str__(self):return self.title
@admin.register(Reptiles)
class ReptilesAdminModel(admin.ModelAdmin):"""爬虫执行"""list_per_page = 50list_display = ('id','title')search_fields=('id','title',)
class Guess(models.Model):"""预测模型：用于执行预测程序"""title = models.CharField(max_length=255, verbose_name='记录操作', help_text='记录操作', blank=True)# begin = models.CharField(max_length=255, verbose_name='开始时间 格式：14:05', help_text='开始时间 格式：14:05', blank=True)class Meta:ordering = ['-id']verbose_name = '预测执行'verbose_name_plural = verbose_namedef __str__(self):return self.title
@admin.register(Guess)
class GuessAdminModel(admin.ModelAdmin):"""预测执行"""list_per_page = 50list_display = ('id','title')search_fields=('id','title',)
class LotteryDataForecast2(models.Model):"""每期开奖预测数据"""order = models.ForeignKey("LotteryData",verbose_name='上期', help_text='上期（ForeignKey）', blank=True,null=True, on_delete=models.PROTECT)red1 = models.IntegerField(verbose_name='红球1', help_text='红球1（PositiveIntegerField）', blank=True,null=True)red2 = models.IntegerField(verbose_name='红球2', help_text='红球2（PositiveIntegerField）', blank=True,null=True)red3 = models.IntegerField(verbose_name='红球3', help_text='红球3（PositiveIntegerField）', blank=True,null=True)red4 = models.IntegerField(verbose_name='红球4', help_text='红球4（PositiveIntegerField）', blank=True,null=True)red5 = models.IntegerField(verbose_name='红球5', help_text='红球5（PositiveIntegerField）', blank=True,null=True)blue1 = models.IntegerField(verbose_name='蓝球1', help_text='蓝球1（PositiveIntegerField）', blank=True,null=True)blue2 = models.IntegerField(verbose_name='蓝球2', help_text='蓝球2（PositiveIntegerField）', blank=True,null=True)class Meta:ordering = ['-id'] #排序verbose_name = '开奖预测数据' #表示要显示的应用模块的中文名 verbose_name_plural = verbose_name #表示已经是复数形式不用再自动加Sdef __str__(self):# 返回部门名称return self.order
@admin.register(LotteryDataForecast2)
class LotteryDataForecast2AdminModel(admin.ModelAdmin):"""注册开奖预测数据到admin系统进行管理"""# 添加分页list_per_page = 100# 列表页展示的字段list_display = ('id','order','red1','red2', 'red3', 'red4', 'red5', 'blue1','blue1','blue2')# 搜索框search_fields=('id','order')
5.设计整个django项目的序列化结构serializers
from django.contrib.auth.models import User, Group
from django.utils.timezone import now
from rest_framework import mixins
from rest_framework import serializers
#导入在models层写的数据模型
from dlt.models import LotteryData,LotteryDataForecast,Difference,Reptiles,Guess,ChangeNum,ChangeNumMean,ChangeNumSum,LotteryDataForecast2
class LotteryDataSerializer(serializers.ModelSerializer):"""LotteryData模型的序列化器"""class Meta:model = LotteryData #声明模型fields = '__all__' #声明序列化字段
class LotteryDataForecastSerializer(serializers.ModelSerializer):"""LotteryDataForecast模型的序列化器"""class Meta:model = LotteryDataForecast #声明模型fields = '__all__' #声明序列化字段
class LotteryDataForecast2Serializer(serializers.ModelSerializer):"""LotteryDataForecast2模型的序列化器"""class Meta:model = LotteryDataForecast2 #声明模型fields = '__all__' #声明序列化字段
class DifferenceSerializer(serializers.ModelSerializer):"""Difference模型的序列化器"""class Meta:model = Difference #声明模型fields = '__all__' #声明序列化字段
class ChangeNumSerializer(serializers.ModelSerializer):"""ChangeNum模型的序列化器"""class Meta:model = ChangeNum #声明模型fields = '__all__' #声明序列化字段
class ChangeNumMeanSerializer(serializers.ModelSerializer):"""ChangeNumMean模型的序列化器"""class Meta:model = ChangeNumMean #声明模型fields = '__all__' #声明序列化字段
class ChangeNumSumSerializer(serializers.ModelSerializer):"""ChangeNumSum模型的序列化器"""class Meta:model = ChangeNumSum #声明模型fields = '__all__' #声明序列化字段
class ReptilesSerializer(serializers.ModelSerializer):"""爬虫执行序列化器"""class Meta:model = Reptiles #声明模型fields = '__all__' #声明序列化字段
class GuessSerializer(serializers.ModelSerializer):"""预测执行序列化器"""class Meta:model = Guess #声明模型fields = '__all__' #声明序列化字段
6.根据需要编写自己的工具函数
#获取数据
#-*-coding:utf-8-*-
import requests
import re
from lxml import etree
import datetime
import requests
import json
def geturl(URL="http://datachart.500.com/dlt/history/newinc/history.php?limit=3000"):try:data = requests.get(URL).content.decode('utf-8')return dataexcept:data = requests.get(URL).content.decode('gb2312')return dataelse:data = requests.get(URL).content.decode('gbk')return data
#概率分布做机器训练
import numpy as np
import pandas as pd
import math
#导入在models层写的数据模型
from dlt.models import LotteryData,LotteryDataForecast,ChangeNum#2.计算数据分布
def distribution(maxnum):data = {}#按照7个球，35位号码，生成一个最大二维表#给这个二维表存入每次开奖对比上次的差异for order in range(7):for number in range(1, 36):data[order,number] = []for num in range(1,maxnum):thisobj = LotteryData.objects.filter(id = num).first()nextobj = LotteryData.objects.filter(id = num+1).first()thisdata = 0if order==0:thisdata = thisobj.red1if thisdata == number:diff = nextobj.red1-thisdatadata[order,number].append(diff)elif order==1:thisdata = thisobj.red2if thisdata == number:diff = nextobj.red2-thisdatadata[order,number].append(diff)elif order==2:thisdata = thisobj.red3if thisdata == number:diff = nextobj.red3-thisdatadata[order,number].append(diff)elif order==3:thisdata = thisobj.red4if thisdata == number:diff = nextobj.red4-thisdatadata[order,number].append(diff)elif order==4:thisdata = thisobj.red5if thisdata == number:diff = nextobj.red5-thisdatadata[order,number].append(diff)elif order==5:thisdata = thisobj.blue1if thisdata == number:diff = nextobj.blue1-thisdatadata[order,number].append(diff)elif order==6:thisdata = thisobj.blue2if thisdata == number:diff = nextobj.blue2-thisdatadata[order,number].append(diff)#设置几个全局变量，在循环内部变化赋值enlarge = {} # 增大的次数reduce = {} # 减小的次数enlarge_num = {}# 每个数字增大的概率enlarge_dict = {}da = {}jian = {}da1 = []jian1 = []dict21 = []#遍历这个三维差异表for order,number in data.items():enlarge[order] = 0reduce[order] = 0da[order] = 0jian[order] = 0#计算增减的次数for diff in number:if diff > 0:enlarge[order] += 1elif diff <0:reduce[order] += 1enlarge_num[order] = round(enlarge[order] / (reduce[order] + enlarge[order] + 1), 4)for set_diff in set(number):if set_diff > 0:enlarge_dict[order, set_diff] = (round(number.count(set_diff) / enlarge[order], 4)) * set_diffda[order] += enlarge_dict[order, set_diff]'''这是基于首先判断当前期每个数字增大或减小概率哪个大数值大的进一步细化，即将具体增大或减小的值得概率当成权重再分别与之对应值相乘,在全部相加为下一次预测值'''elif set_diff < 0:enlarge_dict[order, set_diff] = (round(number.count(set_diff) / reduce[order], 4)) * set_diffjian[order] += enlarge_dict[order, set_diff]elif set_diff == 0:enlarge_dict[order, set_diff] = 0 # 两次数字不变for n, m, l in zip(da.values(), jian.values(), enlarge_num.values()):da1.append(n) # 原来是字典现在要将其弄成矩阵jian1.append(m)dict21.append(l)da1 = np.array(da1).reshape(7, 35)jian1 = np.array(jian1).reshape(7, 35)dict21 = np.array(dict21).reshape(7, 35)return da1, jian1, dict21def predict(maxnum):da1, jian1, dict21 = distribution(maxnum)# predict = np.zeros(7)predict = np.zeros(7)Thisobj = LotteryData.objects.filter(id = maxnum).first()DataForecast = LotteryDataForecast()DataForecast = LotteryDataForecast.objects.filter(order__id=maxnum).first()if DataForecast == None:DataForecast = LotteryDataForecast()DataForecast.order = LotteryData.objects.all().order_by('-id') .first()for order in range(7):predict[order] = 0for number in range(1, 36):if order == 0:if Thisobj.red1 == number:if dict21[order][number - 1] > 0.5:predict[order] = round(Thisobj.red1 + da1[order][number - 1])elif dict21[order][number - 1] < 0.5:predict[order] = round(Thisobj.red1 + jian1[order][number - 1])DataForecast.red1 = int(predict[order])elif order == 1:if Thisobj.red2 == number:if dict21[order][number - 1] > 0.5:predict[order] = round(Thisobj.red2 + da1[order][number - 1])elif dict21[order][number - 1] < 0.5:predict[order] = round(Thisobj.red2 + jian1[order][number - 1])DataForecast.red2 = int(predict[order])elif order == 2:if Thisobj.red3 == number:if dict21[order][number - 1] > 0.5:predict[order] = round(Thisobj.red3 + da1[order][number - 1])elif dict21[order][number - 1] < 0.5:predict[order] = round(Thisobj.red3 + jian1[order][number - 1])DataForecast.red3 = int(predict[order])elif order == 3:if Thisobj.red4 == number:if dict21[order][number - 1] > 0.5:predict[order] = round(Thisobj.red4 + da1[order][number - 1])elif dict21[order][number - 1] < 0.5:predict[order] = round(Thisobj.red4 + jian1[order][number - 1])DataForecast.red4 = int(predict[order])elif order == 4:if Thisobj.red5 == number:if dict21[order][number - 1] > 0.5:predict[order] = round(Thisobj.red5 + da1[order][number - 1])elif dict21[order][number - 1] < 0.5:predict[order] = round(Thisobj.red5 + jian1[order][number - 1])DataForecast.red5 = int(predict[order])elif order == 5:if Thisobj.blue1 == number:if dict21[order][number - 1] > 0.5:predict[order] = round(Thisobj.blue1 + da1[order][number - 1])elif dict21[order][number - 1] < 0.5:predict[order] = round(Thisobj.blue1 + jian1[order][number - 1])DataForecast.blue1 = int(predict[order])elif order == 6:if Thisobj.blue2 == number:if dict21[order][number - 1] > 0.5:predict[order] = round(Thisobj.blue2 + da1[order][number - 1])elif dict21[order][number - 1] < 0.5:predict[order] = round(Thisobj.blue2 + jian1[order][number - 1])DataForecast.blue2 = int(predict[order])DataForecast.save()return predict
7.在views层调用写好的函数
#-*-coding:utf-8-*-
import requests
import re
from lxml import etree
import datetime
import requests
import jsonfrom rest_framework.viewsets import ModelViewSet
from django_filters.rest_framework import DjangoFilterBackend
from django.db.models import Q
from django.db.models import Count
from django.db.models import Q
from django.utils.timezone import now
from django.utils import timezone
from django.contrib.auth.models import Userfrom rest_framework import filters
from rest_framework import mixins
from rest_framework import permissions
# from rest_framework import authentication
from rest_framework import status
from rest_framework import viewsets
# from rest_framework.decorators import action
from rest_framework.views import APIView
from rest_framework.pagination import PageNumberPagination
from rest_framework.response import Response#导入分页模块并改写
from rest_framework import filters
from rest_framework.pagination import PageNumberPagination
from rest_framework import permissions
class CommonPagination(PageNumberPagination):"""通用分页配置类"""# 每页的记录数page_size = 100# url中请求“页”的参数名page_query_param = 'page'# url中请求“每页记录数”的参数名page_size_query_param = 'page_size'# 每页最大记录数max_page_size = 200#从应用模块的models文件中导入对应模型[表单]
from dlt.models import LotteryData,LotteryDataForecast,Difference,Reptiles,Guess,ChangeNum,ChangeNumMean,ChangeNumSum,LotteryDataForecast2
#从应用模块的serializers文件中导入对应模型Serializer
from dlt.serializers import LotteryDataSerializer,LotteryDataForecastSerializer,DifferenceSerializer,ReptilesSerializer,GuessSerializer,ChangeNumSerializer,ChangeNumMeanSerializer,ChangeNumSumSerializer,LotteryDataForecast2Serializerclass LotteryDataViewSet(ModelViewSet):"""往期开奖数据"""queryset = LotteryData.objects.all()serializer_class = LotteryDataSerializerpermission_classes = [permissions.IsAuthenticated]pagination_class = CommonPagination
class LotteryDataForecastViewSet(ModelViewSet):"""期后预测数据"""queryset = LotteryDataForecast.objects.all()serializer_class = LotteryDataForecastSerializerpermission_classes = [permissions.IsAuthenticated]pagination_class = CommonPagination
class DifferenceViewSet(ModelViewSet):"""开奖和预测差异"""queryset = Difference.objects.all()serializer_class = DifferenceSerializerpermission_classes = [permissions.IsAuthenticated]pagination_class = CommonPagination
class ReptilesViewSet(ModelViewSet):"""爬虫执行开关"""serializer_class = ReptilesSerializerpermission_classes = [permissions.IsAuthenticated]# 分页+统计pagination_class = CommonPaginationdef get_queryset(self, *args, **kwargs):return Reptiles.objects.filter() def create(self, request, *args, **kwargs):serializer = self.get_serializer(data=request.data)serializer.is_valid(raise_exception=True)self.perform_create(serializer)from dlt.tool.getnum import geturl,getdataurldata = geturl()#解析数据并存入数据库alldata = etree.HTML(urldata)beginNum = 2001for i in range(beginNum,0,-1):path1 = r'//*[@id="tdata"]/tr['+str(i)+']/td[1]'path2 = r'//*[@id="tdata"]/tr['+str(i)+']/td[2]'path3 = r'//*[@id="tdata"]/tr['+str(i)+']/td[3]'path4 = r'//*[@id="tdata"]/tr['+str(i)+']/td[4]'path5 = r'//*[@id="tdata"]/tr['+str(i)+']/td[5]'path6 = r'//*[@id="tdata"]/tr['+str(i)+']/td[6]'path7 = r'//*[@id="tdata"]/tr['+str(i)+']/td[7]'path8 = r'//*[@id="tdata"]/tr['+str(i)+']/td[8]'path9 = r'//*[@id="tdata"]/tr['+str(i)+']/td[15]'ordernum=int('20'+str(alldata.xpath(path1)[0].text))#查看是否存在这一期，如果不存在的话，创建这一期thisorder = LotteryData()thisorder = LotteryData.objects.filter(order__exact=ordernum).first()if thisorder == None:thisorder = LotteryData()#从前2001期到现在的每一期数据thisorder.order = ordernumthisorder.red1 = int(alldata.xpath(path2)[0].text)thisorder.red2 = int(alldata.xpath(path3)[0].text)thisorder.red3 = int(alldata.xpath(path4)[0].text)thisorder.red4 = int(alldata.xpath(path5)[0].text)thisorder.red5 = int(alldata.xpath(path6)[0].text)thisorder.blue1 = int(alldata.xpath(path7)[0].text)thisorder.blue2 = int(alldata.xpath(path8)[0].text)thisorder.date = alldata.xpath(path9)[0].textthisorder.save()#当超过历史第一期（即最早一期2001期）才存在两期比较变化，这里时本期比上期多的值if i < beginNum:lastorder = LotteryData.objects.filter(order__exact=int('20'+str(alldata.xpath(r'//*[@id="tdata"]/tr['+str(i+1)+']/td[1]')[0].text))).first()change = ChangeNum()change = ChangeNum.objects.filter(order=thisorder).first()if change == None:change = ChangeNum()change.order=thisorderchange.red1 = int(thisorder.red1 - lastorder.red1)change.red2 = int(thisorder.red2 - lastorder.red2)change.red3 = int(thisorder.red3 - lastorder.red3)change.red4 = int(thisorder.red4 - lastorder.red4)change.red5 = int(thisorder.red5 - lastorder.red5)change.blue1 = int(thisorder.blue1 - lastorder.blue1)change.blue2 = int(thisorder.blue2 - lastorder.blue2)change.save()#每一期当期以往的所有期变化值的平均值，用作变化的数学期望，即最终的变化将向平均值靠拢changeMean = ChangeNumMean()changeMean = ChangeNumMean.objects.filter(order=thisorder).first()if changeMean == None:changeMean = ChangeNumMean()changeMean.order=thisorder#每一期当期以往所有期变化值的合计值，用作合计值变化的数学期望，暂无作用changeSum = ChangeNumSum()changeSum = ChangeNumSum.objects.filter(order=thisorder).first()if changeSum == None:changeSum = ChangeNumSum()changeSum.order=thisorder#每一期通过扣减变化值所计算出来的预测值，预测值-当期值=预测变化，（预测变化+合计变化）/t+1=预测平均值，（预测平均值+当期变化值）/2=预测变化Forecast2 = LotteryDataForecast2()Forecast2 = LotteryDataForecast2.objects.filter(order=thisorder).first()if Forecast2 == None:Forecast2 = LotteryDataForecast2()Forecast2.order=thisorderallchange = ChangeNum.objects.filter(id__lt=thisorder.pk)allchange_num = allchange.count()red_1=0red_2=0red_3=0red_4=0red_5=0blue_1=0blue_2=0for one_change in allchange:red_1 = red_1 + one_change.red1red_2 = red_2 + one_change.red2red_3 = red_3 + one_change.red3red_4 = red_4 + one_change.red4red_5 = red_5 + one_change.red5blue_1 = blue_1 + one_change.blue1blue_2 = blue_2 + one_change.blue2changeSum.red1 = red_1changeSum.red2 = red_2changeSum.red3 = red_3changeSum.red4 = red_4changeSum.red5 = red_5changeSum.blue1 = blue_1changeSum.blue2 = blue_2changeSum.save()changeMean.red1 = red_1/allchange_numchangeMean.red2 = red_2/allchange_numchangeMean.red3 = red_3/allchange_numchangeMean.red4 = red_4/allchange_numchangeMean.red5 = red_5/allchange_numchangeMean.blue1 = blue_1/allchange_numchangeMean.blue2 = blue_2/allchange_numchangeMean.save()Forecast2.red1 = round(thisorder.red1+changeSum.red1/(2*thisorder.pk+1)+change.red1*(thisorder.pk+1)/(2*thisorder.pk+1))Forecast2.red2 = round(thisorder.red2+changeSum.red2/(2*thisorder.pk+1)+change.red2*(thisorder.pk+1)/(2*thisorder.pk+1))Forecast2.red3 = round(thisorder.red3+changeSum.red3/(2*thisorder.pk+1)+change.red3*(thisorder.pk+1)/(2*thisorder.pk+1))Forecast2.red4 = round(thisorder.red4+changeSum.red4/(2*thisorder.pk+1)+change.red4*(thisorder.pk+1)/(2*thisorder.pk+1))Forecast2.red5 = round(thisorder.red5+changeSum.red5/(2*thisorder.pk+1)+change.red5*(thisorder.pk+1)/(2*thisorder.pk+1))Forecast2.blue1 = round(thisorder.blue1+changeSum.blue1/(2*thisorder.pk+1)+change.blue1*(thisorder.pk+1)/(2*thisorder.pk+1))Forecast2.blue2 = round(thisorder.blue2+changeSum.blue2/(2*thisorder.pk+1)+change.blue2*(thisorder.pk+1)/(2*thisorder.pk+1))Forecast2.save()if i < beginNum-1:#除去最新一期的数据，每一期的预测值应该和下一期的真实值有个差异lastForecast2 = LotteryDataForecast2.objects.filter(id = LotteryDataForecast2.objects.filter(order=thisorder).first().pk-1).first()difference = Difference()difference = Difference.objects.filter(order=thisorder).first()if difference == None:difference = Difference()difference.order=thisorderdifference.red1 = thisorder.red1 - lastForecast2.red1difference.red2 = thisorder.red2 - lastForecast2.red2difference.red3 = thisorder.red3 - lastForecast2.red3difference.red4 = thisorder.red4 - lastForecast2.red4difference.red5 = thisorder.red5 - lastForecast2.red5difference.blue1 = thisorder.blue1 - lastForecast2.blue1difference.blue2 = thisorder.blue2 - lastForecast2.blue2difference.save()headers = self.get_success_headers(serializer.data)return Response(serializer.data, status=status.HTTP_201_CREATED, headers=headers)class GuessViewSet(ModelViewSet):"""预测执行开关"""serializer_class = GuessSerializerpermission_classes = [permissions.IsAuthenticated]# 分页+统计pagination_class = CommonPaginationdef get_queryset(self, *args, **kwargs):return Guess.objects.filter() def create(self, request, *args, **kwargs):serializer = self.get_serializer(data=request.data)serializer.is_valid(raise_exception=True)self.perform_create(serializer)from dlt.tool.guess import predict,getChangeNum#1.获取数据最大的位置maxnum = LotteryData.objects.all().order_by('-id') .first().pk# getChangeNum(maxnum)predict(maxnum)headers = self.get_success_headers(serializer.data)return Response(serializer.data, status=status.HTTP_201_CREATED, headers=headers)class ChangeNumViewSet(ModelViewSet):"""预测执行开关"""serializer_class = ChangeNumSerializerpermission_classes = [permissions.IsAuthenticated]# 分页+统计pagination_class = CommonPaginationdef get_queryset(self, *args, **kwargs):return ChangeNum.objects.filter()
class ChangeNumMeanViewSet(ModelViewSet):"""预测执行开关"""serializer_class = ChangeNumMeanSerializerpermission_classes = [permissions.IsAuthenticated]# 分页+统计pagination_class = CommonPaginationdef get_queryset(self, *args, **kwargs):return ChangeNumMean.objects.filter()
class ChangeNumSumViewSet(ModelViewSet):"""预测执行开关"""serializer_class = ChangeNumSumSerializerpermission_classes = [permissions.IsAuthenticated]# 分页+统计pagination_class = CommonPaginationdef get_queryset(self, *args, **kwargs):return ChangeNumSum.objects.filter()
8.最后给这些代码配一下路由
from django.contrib import admin
from django.urls import path, include
from django.conf.urls.static import static
from rest_framework import routers
from rest_framework.documentation import include_docs_urls
from rest_framework.authtoken.views import obtain_auth_token
from dlt.views import LotteryDataViewSet,LotteryDataForecastViewSet,DifferenceViewSet,ReptilesViewSet,GuessViewSet
from dlt import views as DltViews
from lottery.settings import MEDIA_URL, MEDIA_ROOT#配置静态文件路径，不然打不来文件
# 定义DRF的API链接
# 使用basename可以解决drf路由被覆盖的问题
router = routers.DefaultRouter()
router.register(r'lottery-data', DltViews.LotteryDataViewSet, basename='lottery-data')
router.register(r'forecast', DltViews.LotteryDataForecastViewSet, basename='forecast')
router.register(r'difference', DltViews.DifferenceViewSet, basename='difference')
router.register(r'reptiles', DltViews.ReptilesViewSet, basename='reptiles')
router.register(r'guess', DltViews.GuessViewSet, basename='guess')
urlpatterns = [path('admin/', admin.site.urls),path('api-auth/', include('rest_framework.urls', namespace='rest_framework')),path('', include(router.urls)),
]+ static(MEDIA_URL, document_root=MEDIA_ROOT)#配置静态文件路径，不然打不来文件
展示一下
用reptiles链接触发数据采集
这里因为第一次采集，所以写入了2000条数据，第一次采集后可以在views.py文件的下把beginNum改小，如果你十天半个月才关注一次彩票的话，可以改成100或者30，当然，重新改写成一直挂载每天自动采集的也是可以的
lass ReptilesViewSet(ModelViewSet):"""爬虫执行开关"""def create(self, request, *args, **kwargs):serializer = self.get_serializer(data=request.data)serializer.is_valid(raise_exception=True)self.perform_create(serializer)from dlt.tool.getnum import geturl,getdataurldata = geturl()#解析数据并存入数据库alldata = etree.HTML(urldata)beginNum = 2001
然后在采集的同时，就会进行各种计算了
采集填入数据库的每一期点开奖数据
和每一期对应的对比上一期的数据变化
N期数据变化的合计值，总是在一定范围内来回震荡的
平均变化趋近于0
根据每一期的变化值给出一个帮助他趋于数学期望的预测值
guess链接用来触发我们编辑好的另一种预测方法
通过这样简单的预测一下彩票，就把基础的django配合DRF框架搭建后端API给过了一遍
要是万一中了呢？
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