diff --git a/README.md b/README.md index d205746..d51d043 100644 --- a/README.md +++ b/README.md @@ -340,54 +340,203 @@ grp.GET("", []fizz.OperationOption{ }, tonic.Handler(ListFruits, 200)) ``` +##### 4. main函数将以上逻辑串起来 + +```go +func main() { + router, err := NewRouter() + if err != nil { + log.Fatal(err) + } + srv := &http.Server{ + Addr: ":4242", + Handler: router, + } + _ = srv.ListenAndServe() +} + +// NewRouter returns a new router for the +// Pet Store. +func NewRouter() (*fizz.Fizz, error) { + engine := gin.New() + engine.Use(cors.Default()) + + fizz := fizz.NewFromEngine(engine) + + // Override type names. + // fizz.Generator().OverrideTypeName(reflect.TypeOf(Fruit{}), "SweetFruit") + + // Initialize the informations of + // the API that will be served with + // the specification. + infos := &openapi.Info{ + Title: "Fruits Market", + Description: `This is a sample Fruits market server.`, + Version: "1.0.0", + } + // Create a new route that serve the OpenAPI spec. + fizz.GET("/openapi.json", nil, fizz.OpenAPI(infos, "json")) + fizz.GET("/doc", nil, func(ctx *gin.Context) { + ctx.Status(200) + ctx.Header("Content-Type", "text/html") + ctx.String(200, rapidoc) + }) + + // Setup routes. + routes(fizz.Group("/market", "market", "Your daily dose of freshness")) + + if len(fizz.Errors()) != 0 { + return nil, fmt.Errorf("fizz errors: %v", fizz.Errors()) + } + return fizz, nil +} +``` + #### 2. OAS的实现方式 比较核心的地方有两个 -1. tonic.Handler 该方法使用reflect动态判断到传入的第一个参数,即第二步描述的Handler,根绝参数长度判断有无入参,根据返回值的长度判断有无返回值。如果有,则继续用reflect解析传入的struct,根据struct的tag描述出来各数据模型。如此的一个过程则基本上已经把一个接口的入参、返回能描述清楚。[关键代码](https://github.com/loopfz/gadgeto/blob/c4f8b2f64586099b9b281cbe99aa2f8b05e7d8b0/tonic/handler.go#L46) +1. tonic.Handler 该方法使用reflect动态判断到传入的第一个参数,即第二步描述的Handler,根绝参数长度判断有无入参,根据返回值的长度判断有无返回值。如果有,则继续用reflect解析传入的struct,根据struct的tag描述出来各数据模型。如此的一个过程则基本上已经把一个接口的入参、返回能描述清楚。[关键代码](https://github.com/loopfz/gadgeto/blob/c4f8b2f64586099b9b281cbe99aa2f8b05e7d8b0/tonic/handler.go#L308) 另外,由于已经拿到了Handler的所有信息,包括入参的具体类型信息。所以还为我们提供了一个非常有用的额外能力:通过tag的描述,直接把各个位置的Parameters和RequestBody的值取到,然后把取到的Value设置到函数入参的指针里。所以我们可以在Handler中直接使用第二个参数中的值,无需自己再另行反序列化或者绑定操作。[关键代码](https://github.com/loopfz/gadgeto/blob/c4f8b2f64586099b9b281cbe99aa2f8b05e7d8b0/tonic/handler.go#L50) 2. fizz.OperationOption 库提供了一系列的OperationOption,可以为第一步的信息增加更多的对OpenAPI的支持。再配合上二次封装的Router,即可获取到整个OAS请求的全部信息。 #### 3. 优点 -WIP +1. 开发流程很直观,比起纯粹的Gin项目开发额外需要改造的东西并不多,提供的有限的几个API上手也比较快 +2. 可以完全利用Gin提供的所有API,不失灵活性。 +3. 提供了 go-validator 和 一部分json_schema规则的校验。业务逻辑里不必再写取参数、参数校验部分的冗余代码,可以直接处理业务逻辑,且和接口文档严格保持一致。 #### 4. 缺点 -WIP +1. 知名度低,小众 +2. 因为struct中字段的各种描述信息只能在tag中描述,会导致tag写的很长,比较丑 +3. 参考代码信息,json_schema部分的支持不够完全,有些部分与go-validator共用一些字段可能会导致混乱 +4. 框架绑定死了,基本不能解耦 ### 5. Django REST Framework +Django项目是Python语言中最知名的Web框架,在2005年被开源以来,用户量非常庞大,目前Django社区依然非常活跃。 + +Django REST Framework(以下简称DRF)是著名开源组织[encode](https://www.encode.io)在2011年专门面向Django用户开发REST API的需求而诞生的一套工具。 + #### 1. 开发过程 +创建python虚拟环境、Django项目初始化相关的流程由于比较冗长,涉及到的上下文信息比较多,这里就不再赘述,感兴趣可以去看[Django官方文档](https://docs.djangoproject.com/en/4.0/)和[Django REST Framework官方文档](https://www.django-rest-framework.org),我们现在只关注他是怎么描述Schema的。 + +在DRF中,描述数据model的结构叫做Serializer。官方提供了非常多的内置的序列化方法,包括各种可接受的数据类型,然后用户在定义Serializer的时候使用kwargs为各个参数字段添加约束信息。serializer.Serializer类本身提供了 request → serializer → response 数据流的转化能力。用户只需要继承这些能力即可。例如 + +```python +class SnippetSerializer(serializers.Serializer): + # int类型、只读、默认required=True + id = serializers.IntegerField(read_only=True) + # str类型、允许为空、最大长度限定100 + title = serializers.CharField(required=False, allow_blank=True, max_length=100) + # bool类型、非必填字段 + linenos = serializers.BooleanField(required=False) + # 限定入参的值只能是提供的枚举中的值、并指定了默认值 + language = serializers.ChoiceField(choices=LANGUAGE_CHOICES, default='python') +``` + +也提供了直接继承Django Model的能力 + +```python +class Snippet(models.Model): + created = models.DateTimeField(auto_now_add=True) + title = models.CharField(max_length=100, blank=True, default='') + code = models.TextField() + linenos = models.BooleanField(default=False) + language = models.CharField(choices=LANGUAGE_CHOICES, default='python', max_length=100) + style = models.CharField(choices=STYLE_CHOICES, default='friendly', max_length=100) + + class Meta: + ordering = ['created'] + + +class SnippetSerializer(serializers.ModelSerializer): + class Meta: + model = Snippet + fields = "__all__" +``` + #### 2. OAS的实现方式 -WIP +如上面的例子,基于Serializer的描述可以获取到各种类型的request body信息,加上django-filter和django的router可以得到完整的API描述信息。 #### 3. 优点 -WIP +1. 因为Serializer 与Django-ORM 的Model 可以结合在一起,大部分情况下,数据模型只需要定义一次,所有的地方都能得到约束,行为统一 + + 如:上文Snippet类的title字段设置为max_length=100,那么接口入参的时候会校验长度,生成的文档中该参数也有对应的最大值,还有默认情况下数据库定义也会是varchar(20) +2. 经过了10年以上的考验,基本上碰得到的问题都能够找得到答案。本身也提供了各种各样丰富的API让用户可以完成各种场景的需求。 + + 光论开发效率的话,可能是笔者知道的开发效率最高的web框架了。简单场景下,从零到一实现一张表的所有增删改查接口,一共只需要不到十行代码。 #### 4. 缺点 -WIP +1. Python语言本身导致的性能低下。虽然Django提供了几乎整个WEB周期所需要的全部工具,开发体验一流,但是仍然不适用于要求性能的场景,Django的主战场可能还是CMS或者是用于一些产品的MVP版本快速试错。 + +2. 隐晦性的声明太多,行为不够直观。历史包袱过重,未来发展的空间不大。 ### 6. FastAPI +[FastAPI](https://fastapi.tiangolo.com/)可以算是近两年python web框架中最炙手可热的明星项目了,上线仅3年多就已收获40000多star。得益于python3.5版本以来带来的async await异步关键字,和各种高性能的asyncio runtime的出现,性能上已经比传统的Flask等类似的微框架的表现有了极大的改观。 + #### 1. 开发过程 +##### 1. 编写业务逻辑main.py + +```python +from typing import Optional + +from fastapi import FastAPI +from pydantic import BaseModel, Field + +app = FastAPI() + + +class Item(BaseModel): + id: Optional[int] = None + name: str = Field(description="The name of the item", regex="^[a-zA-Z0-9]*$") + price: float + is_offer: Optional[bool] = None + + +@app.get("/") +def read_root(): + return {"Hello": "World"} + + +@app.get("/items/{item_id}") +def read_item(item_id: int, q: Optional[str] = None): + return {"item_id": item_id, "q": q} + + +@app.post("/items") +def create_item(item: Item) -> Item: + return item + +``` + +##### 2. 使用uvicorn启动服务 + +```bash +uvicorn main:app +``` + #### 2. OAS的实现方式 -WIP +通过Python提供的类型注解功能,程序在启动的时候,就能够得到所有入参内容、和返回结果,包括他们的类型信息。开发体验更像是直接写好处理逻辑的函数,然后框架把这些函数按照一定的规则用HTTP的形式实现。 #### 3. 优点 -WIP +1. 所见即所得,开发接口的时候非常直观,效率很高,而且提供了十分丰富的其他功能使得参数可以复用。 +2. 设计清晰易懂,用户层面不需要知道太多细节,不强制添加对应的类型注解(当然对应的也就无法得到足够的文档信息) +3. 可以直接利用python语言提供的强大生态资源。 #### 4. 缺点 -WIP +1. 除了语言与公司技术栈不太相符外,找不到明显的缺点。 ### 7. Poem diff --git a/python/fastapi_example/__pycache__/main.cpython-310.pyc b/python/fastapi_example/__pycache__/main.cpython-310.pyc new file mode 100644 index 0000000..df7b223 Binary files /dev/null and b/python/fastapi_example/__pycache__/main.cpython-310.pyc differ diff --git a/python/fastapi_example/main.py b/python/fastapi_example/main.py new file mode 100644 index 0000000..76093c4 --- /dev/null +++ b/python/fastapi_example/main.py @@ -0,0 +1,28 @@ +from typing import Optional + +from fastapi import FastAPI +from pydantic import BaseModel, Field + +app = FastAPI() + + +class Item(BaseModel): + id: Optional[int] = None + name: str = Field(description="The name of the item", regex="^[a-zA-Z0-9]*$") + price: float + is_offer: Optional[bool] = None + + +@app.get("/") +def read_root(): + return {"Hello": "World"} + + +@app.get("/items/{item_id}") +def read_item(item_id: int, q: Optional[str] = None): + return {"item_id": item_id, "q": q} + + +@app.post("/items") +def create_item(item: Item) -> Item: + return item diff --git a/python/fastapi_example/poetry.lock b/python/fastapi_example/poetry.lock new file mode 100644 index 0000000..cca6e7a --- /dev/null +++ b/python/fastapi_example/poetry.lock @@ -0,0 +1,229 @@ +[[package]] +name = "anyio" +version = "3.5.0" +description = "High level compatibility layer for multiple asynchronous event loop implementations" +category = "main" +optional = false +python-versions = ">=3.6.2" + +[package.dependencies] +idna = ">=2.8" +sniffio = ">=1.1" + +[package.extras] +doc = ["packaging", "sphinx-rtd-theme", "sphinx-autodoc-typehints (>=1.2.0)"] +test = ["coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "pytest (>=6.0)", "pytest-mock (>=3.6.1)", "trustme", "contextlib2", "uvloop (<0.15)", "mock (>=4)", "uvloop (>=0.15)"] +trio = ["trio (>=0.16)"] + +[[package]] +name = "asgiref" +version = "3.5.0" +description = "ASGI specs, helper code, and adapters" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.extras] 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