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cdklabs.appsync-utils-0.0.9


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توضیحات

Utilities for creating appsync apis using aws-cdk
ویژگی مقدار
سیستم عامل -
نام فایل cdklabs.appsync-utils-0.0.9
نام cdklabs.appsync-utils
نسخه کتابخانه 0.0.9
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Mitchell Valine<mitchellvaline@yahoo.com>
ایمیل نویسنده -
آدرس صفحه اصلی https://github.com/cdklabs/awscdk-appsync-utils.git
آدرس اینترنتی https://pypi.org/project/cdklabs.appsync-utils/
مجوز Apache-2.0
# AWS CDK AppSync Utilities This package contains various utilities for definining GraphQl Apis via AppSync using the [aws-cdk](https://github.com/aws/aws-cdk). ## Code First Schema Definition `CodeFirstSchema` offers the ability to generate your schema in a code-first approach. A code-first approach offers a developer workflow with: * **modularity**: organizing schema type definitions into different files * **reusability**: removing boilerplate/repetitive code * **consistency**: resolvers and schema definition will always be synced The code-first approach allows for **dynamic** schema generation. You can generate your schema based on variables and templates to reduce code duplication. ```python import { GraphqlApi } from '@aws-cdk/aws-appsync-alpha'; import { CodeFirstSchema } from 'awscdk-appsync-utils'; const schema = new CodeFirstSchema(); const api = new GraphqlApi(this, 'api', { name: 'myApi', schema }); schema.addType(new ObjectType('demo', { definition: { id: GraphqlType.id() }, })); ``` ### Code-First Example To showcase the code-first approach. Let's try to model the following schema segment. ```gql interface Node { id: String } type Query { allFilms(after: String, first: Int, before: String, last: Int): FilmConnection } type FilmNode implements Node { filmName: String } type FilmConnection { edges: [FilmEdge] films: [Film] totalCount: Int } type FilmEdge { node: Film cursor: String } ``` Above we see a schema that allows for generating paginated responses. For example, we can query `allFilms(first: 100)` since `FilmConnection` acts as an intermediary for holding `FilmEdges` we can write a resolver to return the first 100 films. In a separate file, we can declare our object types and related functions. We will call this file `object-types.ts` and we will have created it in a way that allows us to generate other `XxxConnection` and `XxxEdges` in the future. ```python import { GraphqlType, InterfaceType, ObjectType } from 'awscdk-appsync-utils'; const pluralize = require('pluralize'); export const args = { after: GraphqlType.string(), first: GraphqlType.int(), before: GraphqlType.string(), last: GraphqlType.int(), }; export const Node = new InterfaceType('Node', { definition: { id: GraphqlType.string() } }); export const FilmNode = new ObjectType('FilmNode', { interfaceTypes: [Node], definition: { filmName: GraphqlType.string() } }); export function generateEdgeAndConnection(base: ObjectType) { const edge = new ObjectType(`${base.name}Edge`, { definition: { node: base.attribute(), cursor: GraphqlType.string() } }); const connection = new ObjectType(`${base.name}Connection`, { definition: { edges: edge.attribute({ isList: true }), [pluralize(base.name)]: base.attribute({ isList: true }), totalCount: GraphqlType.int(), } }); return { edge: edge, connection: connection }; } ``` Finally, we will go to our `cdk-stack` and combine everything together to generate our schema. ```python declare const dummyRequest: appsync.MappingTemplate; declare const dummyResponse: appsync.MappingTemplate; const api = new appsync.GraphqlApi(this, 'Api', { name: 'demo', }); const objectTypes = [ Node, FilmNode ]; const filmConnections = generateEdgeAndConnection(FilmNode); api.addQuery('allFilms', new ResolvableField({ returnType: filmConnections.connection.attribute(), args: args, dataSource: api.addNoneDataSource('none'), requestMappingTemplate: dummyRequest, responseMappingTemplate: dummyResponse, })); api.addType(Node); api.addType(FilmNode); api.addType(filmConnections.edge); api.addType(filmConnections.connection); ``` Notice how we can utilize the `generateEdgeAndConnection` function to generate Object Types. In the future, if we wanted to create more Object Types, we can simply create the base Object Type (i.e. Film) and from there we can generate its respective `Connections` and `Edges`. Check out a more in-depth example [here](https://github.com/BryanPan342/starwars-code-first). ## GraphQL Types One of the benefits of GraphQL is its strongly typed nature. We define the types within an object, query, mutation, interface, etc. as **GraphQL Types**. GraphQL Types are the building blocks of types, whether they are scalar, objects, interfaces, etc. GraphQL Types can be: * [**Scalar Types**](https://docs.aws.amazon.com/appsync/latest/devguide/scalars.html): Id, Int, String, AWSDate, etc. * [**Object Types**](#Object-Types): types that you generate (i.e. `demo` from the example above) * [**Interface Types**](#Interface-Types): abstract types that define the base implementation of other Intermediate Types More concretely, GraphQL Types are simply the types appended to variables. Referencing the object type `Demo` in the previous example, the GraphQL Types is `String!` and is applied to both the names `id` and `version`. ### Directives `Directives` are attached to a field or type and affect the execution of queries, mutations, and types. With AppSync, we use `Directives` to configure authorization. Appsync utils provide static functions to add directives to your CodeFirstSchema. * `Directive.iam()` sets a type or field's authorization to be validated through `Iam` * `Directive.apiKey()` sets a type or field's authorization to be validated through a `Api Key` * `Directive.oidc()` sets a type or field's authorization to be validated through `OpenID Connect` * `Directive.cognito(...groups: string[])` sets a type or field's authorization to be validated through `Cognito User Pools` * `groups` the name of the cognito groups to give access To learn more about authorization and directives, read these docs [here](https://docs.aws.amazon.com/appsync/latest/devguide/security.html). ### Field and Resolvable Fields While `GraphqlType` is a base implementation for GraphQL fields, we have abstractions on top of `GraphqlType` that provide finer grain support. ### Field `Field` extends `GraphqlType` and will allow you to define arguments. [**Interface Types**](#Interface-Types) are not resolvable and this class will allow you to define arguments, but not its resolvers. For example, if we want to create the following type: ```gql type Node { test(argument: string): String } ``` The CDK code required would be: ```python import { Field, GraphqlType, InterfaceType } from 'awscdk-appsync-utils'; const field = new Field({ returnType: GraphqlType.string(), args: { argument: GraphqlType.string(), }, }); const type = new InterfaceType('Node', { definition: { test: field }, }); ``` ### Resolvable Fields `ResolvableField` extends `Field` and will allow you to define arguments and its resolvers. [**Object Types**](#Object-Types) can have fields that resolve and perform operations on your backend. You can also create resolvable fields for object types. ```gql type Info { node(id: String): String } ``` The CDK code required would be: ```python declare const api: appsync.GraphqlApi; declare const dummyRequest: appsync.MappingTemplate; declare const dummyResponse: appsync.MappingTemplate; const info = new ObjectType('Info', { definition: { node: new ResolvableField({ returnType: GraphqlType.string(), args: { id: GraphqlType.string(), }, dataSource: api.addNoneDataSource('none'), requestMappingTemplate: dummyRequest, responseMappingTemplate: dummyResponse, }), }, }); ``` To nest resolvers, we can also create top level query types that call upon other types. Building off the previous example, if we want the following graphql type definition: ```gql type Query { get(argument: string): Info } ``` The CDK code required would be: ```python declare const api: appsync.GraphqlApi; declare const dummyRequest: appsync.MappingTemplate; declare const dummyResponse: appsync.MappingTemplate; const query = new ObjectType('Query', { definition: { get: new ResolvableField({ returnType: GraphqlType.string(), args: { argument: GraphqlType.string(), }, dataSource: api.addNoneDataSource('none'), requestMappingTemplate: dummyRequest, responseMappingTemplate: dummyResponse, }), }, }); ``` Learn more about fields and resolvers [here](https://docs.aws.amazon.com/appsync/latest/devguide/resolver-mapping-template-reference-overview.html). ### Intermediate Types Intermediate Types are defined by Graphql Types and Fields. They have a set of defined fields, where each field corresponds to another type in the system. Intermediate Types will be the meat of your GraphQL Schema as they are the types defined by you. Intermediate Types include: * [**Interface Types**](#Interface-Types) * [**Object Types**](#Object-Types) * [**Enum Types**](#Enum-Types) * [**Input Types**](#Input-Types) * [**Union Types**](#Union-Types) #### Interface Types **Interface Types** are abstract types that define the implementation of other intermediate types. They are useful for eliminating duplication and can be used to generate Object Types with less work. You can create Interface Types ***externally***. ```python const node = new InterfaceType('Node', { definition: { id: GraphqlType.string({ isRequired: true }), }, }); ``` To learn more about **Interface Types**, read the docs [here](https://graphql.org/learn/schema/#interfaces). #### Object Types **Object Types** are types that you declare. For example, in the [code-first example](#code-first-example) the `demo` variable is an **Object Type**. **Object Types** are defined by GraphQL Types and are only usable when linked to a GraphQL Api. You can create Object Types in two ways: 1. Object Types can be created ***externally***. ```python const schema = new CodeFirstSchema(); const api = new appsync.GraphqlApi(this, 'Api', { name: 'demo', schema, }); const demo = new ObjectType('Demo', { definition: { id: GraphqlType.string({ isRequired: true }), version: GraphqlType.string({ isRequired: true }), }, }); schema.addType(demo); ``` > This method allows for reusability and modularity, ideal for larger projects. > For example, imagine moving all Object Type definition outside the stack. `object-types.ts` - a file for object type definitions ```python import { ObjectType, GraphqlType } from 'awscdk-appsync-utils'; export const demo = new ObjectType('Demo', { definition: { id: GraphqlType.string({ isRequired: true }), version: GraphqlType.string({ isRequired: true }), }, }); ``` `cdk-stack.ts` - a file containing our cdk stack ```python declare const schema: CodeFirstSchema; schema.addType(demo); ``` 2. Object Types can be created ***externally*** from an Interface Type. ```python const node = new InterfaceType('Node', { definition: { id: GraphqlType.string({ isRequired: true }), }, }); const demo = new ObjectType('Demo', { interfaceTypes: [ node ], definition: { version: GraphqlType.string({ isRequired: true }), }, }); ``` > This method allows for reusability and modularity, ideal for reducing code duplication. To learn more about **Object Types**, read the docs [here](https://graphql.org/learn/schema/#object-types-and-fields). #### Enum Types **Enum Types** are a special type of Intermediate Type. They restrict a particular set of allowed values for other Intermediate Types. ```gql enum Episode { NEWHOPE EMPIRE JEDI } ``` > This means that wherever we use the type Episode in our schema, we expect it to > be exactly one of NEWHOPE, EMPIRE, or JEDI. The above GraphQL Enumeration Type can be expressed in CDK as the following: ```python declare const api: GraphqlApi; const episode = new EnumType('Episode', { definition: [ 'NEWHOPE', 'EMPIRE', 'JEDI', ], }); api.addType(episode); ``` To learn more about **Enum Types**, read the docs [here](https://graphql.org/learn/schema/#enumeration-types). #### Input Types **Input Types** are special types of Intermediate Types. They give users an easy way to pass complex objects for top level Mutation and Queries. ```gql input Review { stars: Int! commentary: String } ``` The above GraphQL Input Type can be expressed in CDK as the following: ```python declare const api: appsync.GraphqlApi; const review = new InputType('Review', { definition: { stars: GraphqlType.int({ isRequired: true }), commentary: GraphqlType.string(), }, }); api.addType(review); ``` To learn more about **Input Types**, read the docs [here](https://graphql.org/learn/schema/#input-types). #### Union Types **Union Types** are a special type of Intermediate Type. They are similar to Interface Types, but they cannot specify any common fields between types. **Note:** the fields of a union type need to be `Object Types`. In other words, you can't create a union type out of interfaces, other unions, or inputs. ```gql union Search = Human | Droid | Starship ``` The above GraphQL Union Type encompasses the Object Types of Human, Droid and Starship. It can be expressed in CDK as the following: ```python declare const api: appsync.GraphqlApi; const string = GraphqlType.string(); const human = new ObjectType('Human', { definition: { name: string } }); const droid = new ObjectType('Droid', { definition: { name: string } }); const starship = new ObjectType('Starship', { definition: { name: string } });); const search = new UnionType('Search', { definition: [ human, droid, starship ], }); api.addType(search); ``` To learn more about **Union Types**, read the docs [here](https://graphql.org/learn/schema/#union-types). ### Query Every schema requires a top level Query type. By default, the schema will look for the `Object Type` named `Query`. The top level `Query` is the **only** exposed type that users can access to perform `GET` operations on your Api. To add fields for these queries, we can simply run the `addQuery` function to add to the schema's `Query` type. ```python declare const api: appsync.GraphqlApi; declare const filmConnection: InterfaceType; declare const dummyRequest: appsync.MappingTemplate; declare const dummyResponse: appsync.MappingTemplate; const string = GraphqlType.string(); const int = GraphqlType.int(); api.addQuery('allFilms', new ResolvableField({ returnType: filmConnection.attribute(), args: { after: string, first: int, before: string, last: int}, dataSource: api.addNoneDataSource('none'), requestMappingTemplate: dummyRequest, responseMappingTemplate: dummyResponse, })); ``` To learn more about top level operations, check out the docs [here](https://docs.aws.amazon.com/appsync/latest/devguide/graphql-overview.html). ### Mutation Every schema **can** have a top level Mutation type. By default, the schema will look for the `ObjectType` named `Mutation`. The top level `Mutation` Type is the only exposed type that users can access to perform `mutable` operations on your Api. To add fields for these mutations, we can simply run the `addMutation` function to add to the schema's `Mutation` type. ```python declare const api: appsync.GraphqlApi; declare const filmNode: ObjectType; declare const dummyRequest: appsync.MappingTemplate; declare const dummyResponse: appsync.MappingTemplate; const string = GraphqlType.string(); const int = GraphqlType.int(); api.addMutation('addFilm', new ResolvableField({ returnType: filmNode.attribute(), args: { name: string, film_number: int }, dataSource: api.addNoneDataSource('none'), requestMappingTemplate: dummyRequest, responseMappingTemplate: dummyResponse, })); ``` To learn more about top level operations, check out the docs [here](https://docs.aws.amazon.com/appsync/latest/devguide/graphql-overview.html). ### Subscription Every schema **can** have a top level Subscription type. The top level `Subscription` Type is the only exposed type that users can access to invoke a response to a mutation. `Subscriptions` notify users when a mutation specific mutation is called. This means you can make any data source real time by specify a GraphQL Schema directive on a mutation. **Note**: The AWS AppSync client SDK automatically handles subscription connection management. To add fields for these subscriptions, we can simply run the `addSubscription` function to add to the schema's `Subscription` type. ```python declare const api: appsync.GraphqlApi; declare const film: InterfaceType; api.addSubscription('addedFilm', new Field({ returnType: film.attribute(), args: { id: GraphqlType.id({ isRequired: true }) }, directives: [Directive.subscribe('addFilm')], })); ``` To learn more about top level operations, check out the docs [here](https://docs.aws.amazon.com/appsync/latest/devguide/real-time-data.html). ## Contributing This library leans towards high level and experimental features for appsync cdk users. If you have an idea for additional utilities please create an issue describing the feature. See [CONTRIBUTING](CONTRIBUTING.md#security-issue-notifications) for more information. ## License This project is licensed under the Apache-2.0 License.


نیازمندی

مقدار نام
<3.0.0,>=2.60.0 aws-cdk-lib
<11.0.0,>=10.0.5 constructs
<2.0.0,>=1.80.0 jsii
>=0.0.3 publication
~=2.13.3 typeguard


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مقدار نام
~=3.7 Python


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نصب پکیج whl cdklabs.appsync-utils-0.0.9:

    pip install cdklabs.appsync-utils-0.0.9.whl


نصب پکیج tar.gz cdklabs.appsync-utils-0.0.9:

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