一、开发环境
1、python3.6
2、django2.0
3、window10
二、项目搭建
1、创建一个虚拟空间mkvirtualenv 空间名
2、创建一个django项目
3、安装graphql的依赖包
pip install graphene-django
4、创建一个组件blog
5、把组件blog及graphene_django注入到app中
6、在settings.py中配置mysql数据库连接
三、书写blog的内容
1、在models.py中写上数据模型
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from django.db import models # Create your models here. class User(models.Model): name = models.CharField(max_length = 100 , verbose_name = "博主名字" ) gender = models.CharField(max_length = 6 , choices = (( 'male' , u '男' ), ( 'female' , '女' )), default = 'female' , verbose_name = '性别' ) create_at = models.DateTimeField(auto_now_add = True , verbose_name = '创建时间' ) class Blog(models.Model): title = models.CharField(max_length = 100 , verbose_name = '标题' ) user = models.ForeignKey(User, null = True , blank = True , on_delete = models.SET_NULL, verbose_name = '博主名字' ) content = models.TextField(verbose_name = '博客内容' ) create_at = models.DateTimeField(auto_now_add = True , verbose_name = '创建时间' ) update_at = models.DateTimeField(auto_now = True , verbose_name = '更新时间' ) |
2、新建一个schema.py文件
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#!/usr/bin/env python # encoding: utf-8 import graphene from graphene_django.types import DjangoObjectType from .models import User, Blog class UserType(DjangoObjectType): class Meta: model = User class BlogType(DjangoObjectType): class Meta: model = Blog # 定义动作约素输入类型 class UserInput(graphene.InputObjectType): name = graphene.String(required = True ) gender = graphene.String(required = True ) class BlogInput(graphene.InputObjectType): title = graphene.String(required = True ) user = graphene. Int (required = True ) content = graphene.String(required = True ) # 定义一个创建user的mutation class CreateUser(graphene.Mutation): # api的输入参数 class Arguments: user_data = UserInput(required = True ) # api的响应参数 ok = graphene.Boolean() user = graphene.Field(UserType) # api的相应操作,这里是create def mutate( self , info, user_data): user = User.objects.create(name = user_data[ 'name' ], gender = user_data[ 'gender' ]) ok = True return CreateUser(user = user, ok = ok) # 定义一个创建博客的mutation class CreateBlog(graphene.Mutation): class Arguments: blog_data = BlogInput(required = True ) blog = graphene.Field(BlogType) def mutate( self , info, blog_data): # 插入到数据库中 blog = Blog.objects.create(title = blog_data[ 'title' ], user_id = blog_data[ 'user' ], content = blog_data[ 'content' ]) return CreateBlog(blog = blog) # 定义一个查询语句 class Query( object ): all_user = graphene. List (UserType) all_blog = graphene. List (BlogType) def resolve_all_user( self , info, * * kwargs): # 查询所有book的逻辑 return User.objects. all () def resolve_all_blog( self , info, * * kwargs): # 查询所有title的逻辑 return Blog.objects. all () |
3、在跟目录(和settings.py同级)创建一个项目的总schema.py
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import graphene import book.schema, blog.schema class Query(blog.schema.Query, graphene.ObjectType): # 总的Schema的query入口 pass class Mutations(graphene.ObjectType): # 总的Schema的mutations入口 create_user = blog.schema.CreateUser.Field() create_blog = blog.schema.CreateBlog.Field() schema = graphene.Schema(query = Query, mutation = Mutations) |
4、配置url地址
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from django.contrib import admin from django.urls import path from graphene_django.views import GraphQLView from .schema import schema urlpatterns = [ path( 'admin/' , admin.site.urls), path( 'graphql/' , GraphQLView.as_view(graphiql = True , schema = schema)), ] |
5、生成数据库映射及启动项目,直接在浏览器上访问
四、可以对上面的代码调整
1、把Mutations也单独定义在各自的schema.py中
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# 定义一个总的mutation出口 class Mutation(graphene.AbstractType): create_user = CreateUser.Field() create_blog = CreateBlog.Field() |
2、在总的schema.py中引入类型Query一样的操作
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class Mutations(blog.schema.Mutation, graphene.ObjectType): # 总的Schema的mutations入口 pass |
3、输入数据类型可以直接定义在mutation里面
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class CreateUser(graphene.Mutation): # api的输入参数(类名可以随便定义) class Arguments: name = graphene.String(required = True ) gender = graphene.String(required = True ) # api的响应参数 ok = graphene.Boolean() user = graphene.Field(UserType) # api的相应操作,这里是create def mutate( self , info, name, gender): user = User.objects.create(name = name, gender = gender) ok = True return CreateUser(user = user, ok = ok) |
五、Query语句中使用条件查询
1、app的schema(官方案例)
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import graphene from graphene_django.types import DjangoObjectType from .models import Category, Ingredient class CategoryType(DjangoObjectType): class Meta: model = Category class IngredientType(DjangoObjectType): class Meta: model = Ingredient # 定义一个查询 class Query( object ): # 定义一个根据id或者name查询的 category = graphene.Field(CategoryType, id = graphene. Int (), name = graphene.String()) # 查询全部的 all_categories = graphene. List (CategoryType) # 根据条件查询 ingredient = graphene.Field(IngredientType, id = graphene. Int (), name = graphene.String()) # 查询全部的 all_ingredients = graphene. List (IngredientType) def resolve_all_categories( self , info, * * kwargs): return Category.objects. all () def resolve_all_ingredients( self , info, * * kwargs): # We can easily optimize query count in the resolve method return Ingredient.objects.select_related( 'category' ). all () # 定义查询语句 def resolve_category( self , info, * * kwargs): id = kwargs.get( 'id' ) name = kwargs.get( 'name' ) if id is not None : return Category.objects.get(pk = id ) if name is not None : return Category.objects.get(name = name) return None def resolve_ingredient( self , info, * * kwargs): id = kwargs.get( 'id' ) name = kwargs.get( 'name' ) if id is not None : return Ingredient.objects.get(pk = id ) if name is not None : return Ingredient.objects.get(name = name) return None |
补充知识:记录下python中使用定时器的几种方法
方式一、直接使用while循环的方式
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from datetime import datetime import time # 每n秒执行一次 def timer(n): while True : print (datetime.now().strftime( "%Y-%m-%d %H:%M:%S" )) time.sleep(n) timer( 5 ) |
方式二、使用threading模块中的Timer
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from datetime import datetime from threading import Timer # 打印时间函数 def print_time(inc): print (datetime.now().strftime( "%Y-%m-%d %H:%M:%S" )) """ Timer的参数说明 inc:表示时间间隔 print_time:执行的函数 (inc,):传递给执行函数的参数 """ t = Timer(inc, print_time, (inc,)) t.start() print_time( 2 ) |
方式三、使用sched模块
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import time import sched from datetime import datetime # 初始化 sched 模块的 scheduler 类 # 第一个参数是一个可以返回时间戳的函数,第二个参数可以在定时未到达之前阻塞。 schedule = sched.scheduler(time.time, time.sleep) # 被周期性调度触发的函数 def print_time(inc): print (datetime.now().strftime( "%Y-%m-%d %H:%M:%S" )) schedule.enter(inc, 0 , print_time, (inc,)) # 默认参数 60 s def start(inc = 60 ): # enter四个参数分别为:间隔事件、优先级(用于同时间到达的两个事件同时执行时定序)、被调用触发的函数、给触发函数的参数(tuple形式) schedule.enter( 0 , 0 , print_time, (inc,)) schedule.run() if __name__ = = "__main__" : start( 10 ) |
方式四、使用apscheduler
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from apscheduler.schedulers.blocking import BlockingScheduler from datetime import datetime def job(): print (datetime.now().strftime( '%Y-%m-%d %H:%M:%S' )) if __name__ = = "__main__" : scheduler = BlockingScheduler() scheduler.add_job(job, 'interval' , seconds = 5 ) scheduler.start() |
以上这篇django使用graphql的实例就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持服务器之家。
原文链接:https://blog.csdn.net/kuangshp128/article/details/79370351