注册功能的实现
user/views
from rest_framework.generics import GenericAPIView
from rest_framework.views import APIView
from apps.user.models import User
from apps.user.serializers import UserSerializer
from utils import ResponseMessage
from utils.jwt_auth import create_token
from utils.password_encode import get_md5
# Create your views here.
class UserApiView(APIView):
# 注册功能的实现
# def post(self,request):
# request.data["password"] = get_md5(request.data.get("password"))
# # 反序列化呀，把json变成一个对象 [这是关键的一句话]
# user_data_serializer = UserSerializer(data=request.data)
# user_data_serializer.is_valid(raise_exception=True)
# user_data = User.objects.create(**user_data_serializer.data)
#
# # 序列化一下，把json返回给前端对象
# user_ser = UserSerializer(instance=user_data)
# return JsonResponse(user_ser.data)
def po服务器托管网st(self,request):
# 反序列化呀，把json变成一个对象 [这是关键的一句话]
user_data_serializer = UserSerializer(data=request.data)
user_data_serializer.is_valid(raise_exception=True)
user_data = user_data_serializer.save()
# 序列化一下，把json返回给前端对象
user_ser = UserSerializer(instance=user_data)
# return JsonResponse(user_ser.data)
return ResponseMessage.UserResponse.success(user_ser.data)
user/urls
from django.urls import path
from .views import UserApiView
urlpatterns = [
path("",UserApiView.as_view()),
]
user/serializers.py
import datetime
from rest_framework import serializers
from rest_framework.validators import UniqueValidator
from apps.user.models import User
from utils.password_encode import get_md5
class UserSerializer(serializers.ModelSerializer):
# email作为用户名进行登录，这里我们需要做一个唯一性的验证
email = serializers.EmailField(
required=True,
allow_blank=False,
validators=[UniqueValidator(queryset=User.objects, message="用户已经存在了")]
)
password = serializers.CharField(write_only=True)
# password = serializers.CharField()
birthday = serializers.DateTimeField("%Y-%m-%d %H:%M:%S")
create_time = serializers.DateTimeField("%Y-%m-%d %H:%M:%S",required=False)
# create方法会被自动调用，这里可以做一些数据的验证或者是存储之前数据的加工
def create(self, validated_data):
print("create方法被调用了")
print(validated_data)
validated_data["password"] = get_md5(validated_data["password"])
validated_data["create_time"] = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
result = User.objects.create(**validated_data)
return result
class Meta:
model = User
fields = "__all__"
utils/password_encode.py
import hashlib
def get_md5(param):
md5 = hashlib.md5()
md5.update(param.encode())
return md5.hexdigest()
urls
path("user/", include("user.urls")),
用户个人中心获取 用户信息接口开发
class UserApiView(APIView):
def get(self, request):
email = request.GET.get("email")
try:
user_data = User.objects.get(email=email)
user_ser = UserSerializer(user_data)
return ResponseMessage.UserResponse.success(user_ser.data)
except Exception as e:
print(e)
return ResponseMessage.UserResponse.failed("用户信息获取失败")
订单逻辑梳理与表的创建
订单商品表（点击去结算）
订单表(提交订单)
将数据库创建的表映射到本地模型类
python manage.py inspectdb --database default goods > apps/order/models.py
基于GenericAPIView视图的调用逻辑实现创建订单商品的接口开发
order/views
from django.http import JsonResponse
from django.shortcuts import render
# Create your views here.
from rest_framework.generics import GenericAPIView
from apps.order.models import OrderGoods
from apps.order.serializers import OrderGoodsSerializer
class OrderGoodsGenericAPIView(GenericAPIView):
queryset = OrderGoods.objects
serializer_class = OrderGoodsSerializer
def post(self, request):
# trade_no = request.data.get("trade_no")
# print(self.get_queryset())
# print(self.get_serializer())
print(request.data)
# request.data 类型是 dict 转成object传data
ser = self.get_serializer(data=request.data)
ser.is_valid()
ser.save()
return JsonResponse("ok",safe=False)
order/urls
from django.contrib import admin
from django.urls import path
from .views import OrderGoodsGenericAPIView
urlpatterns = [
path("goods/",OrderGoodsGenericAPIView.as_view()),
]
order/serializers.py
from rest_framework import serializers
from apps.order.models import OrderGoods
class OrderGoodsSerializer(serializers.ModelSerializer):
class Meta:
model = OrderGoods
fields = "__all__"
from django.db import models
class Order(models.Model):
email = models.CharField(max_length=255, blank=True, null=True)
order_amount = models.DecimalField(max_digits=10, decimal_places=2, blank=True, null=True)
address_id = models.IntegerField(blank=True, null=True)
pay_status = models.CharField(max_length=155, blank=True, null=True)
pay_time = models.DateTimeField(blank=True, null=True)
ali_trade_no = models.CharField(max_length=255, blank=True, null=True)
is_delete = models.PositiveIntegerField(blank=True, null=True)
create_time = models.DateTimeField(blank=True, null=True)
update_time = models.DateTimeField(blank=True, null=True)
class Meta:
managed = False
db_table = 'order'
class OrderGoods(models.Model):
trade_no = models.CharField(max_length=255, blank=True, null=True)
sku_id = models.CharField(max_length=255, blank=True, null=True)
goods_num = models.IntegerField(blank=True, null=True)
# create_time = models.DateTimeField(blank=True, null=True)
class Meta:
managed = False
db_table = 'order_goods'
urls
path("order/", include("order.urls")),
基于GenericAPIView视图调用逻辑实现获取订单商品接口开发
order/view.py
class OrderGoodsGenericAPIView(GenericAPIView):
queryset = OrderGoods.objects
seria服务器托管网lizer_class = OrderGoodsSerializer
def post(self, request):
print(request.data)
# request.data 类型是 dict 转成object传data
ser = self.get_serializer(data=request.data)
ser.is_valid()
ser.save()
return JsonResponse("ok",safe=False)
lookup_field = "trade_no"
def get(self, request, trade_no):
# 这一行代码就实现了数据库里所有数据的查询 self.get_queryset()拿到配置模型表中的所有数据 返回所有数据
# 调用self.get_serializer 其实就是调用 serializer_class = OrderGoodsSerializer
# return JsonResponse(self.get_serializer(instance=self.get_queryset(),many=True).data,safe=False)
print(trade_no)
# self.get_object() 调用该方法拿到lookup_field作为请求的参数直接传进去 其实就是加了某一个条件 返回一条数据
ser = self.get_serializer(instance=self.get_object(), many=False)
# 传many会报错
# ser = self.get_serializer(instance=self.get_object(),many=True)
return JsonResponse(ser.data, safe=False)
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相关推荐: 百度自研高性能ANN检索引擎，开源了
01 Puck 是什么？02 Puck 优势有哪些？
03 Puck 性能优势
04 Puck 功能拓展
05 Puck 在业务中的使用
作者 | Puck项目组 导读 Puck是百度自研的开源ANN检索引擎。Puck开源项目包含两种百度自研的检索算法，以高召回、高准确、高吞吐为目标，适用于多种数据规模和场景。随着业务发展不断的优化和迭代，进行充分的技术开发和测试，确保了技术的可靠性和成熟度。该…
