@nodebrick/nodebrick-core
Core of Nodebrick
Last updated 6 days ago by nolazybits .
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nodebrick-core

Core of the Nodebrick framework

Description

This is the core of the framework and works as a glue between all the modules and is required by all application you will create

Table of Contents:

  • Inversify DI
  • Configuration (node-config)
  • class validation formater
  • default logger
  • Options (filtering, sorting, couting, field p)

Module Structure

non exhaustive list

Few things to note:

  • index.ts
    The entrypoint, exporting all the classes/interfaces accessible by other modules (think public api)
  • I<ModuleNameModule>.ts
    The module 'interface' - note we are using the following notation export abstract class I<ModuleName> to define interface so they exists in the JS realm and are accessible by InversifyJS
  • <ModuleNameModule>.ts The module class implementing and extending the 'interface'
  • <ModuleNameBindings>.ts
    Defines the Inversify bindings for this module
  • models Folder storing all our models, i.e our business logic data
    Models can also define and validates DTO (data transfer object) fields using class-transformer and class-validator libraries eg
    @Exclude()
    export abstract class IAPIResponse<TData>
    {
    
        @Expose({name: `request_id`, toClassOnly: true})
        @IsOptional()
        public abstract requestId?: string;
    
        @Expose({name: `client_request_id`, toPlainOnly: true})
        @IsString()
        @IsOptional()
        public abstract clientRequestId?: string;
    
        @Expose({name: `start_time`, toPlainOnly: true})
        @IsDate()
        public abstract startTime?: Date;
    
        @Expose({name: `end_time`, toPlainOnly: true})
        @IsDate()
        public abstract endTime: Date;
    
        @Expose({toPlainOnly: true})
        @IsInt()
        @IsOptional()
        // In milliseconds
        public abstract duration?: number;
    }
    
    For instance a REST API returning the above will automatically create a JSON like
    {
      "client_request_id": "933ca46c-25a5-4166-903e-a437700ae4ef",
      "startTime": "933ca46c-25a5-4166-903e-a437700ae4ef",
      "end_time": "933ca46c-25a5-4166-903e-a437700ae4ef",
      "duration": 50
    }
    
    I invite you to read the class-transformer and class-validator documentations.
    Note that table column can also be created and validated with nodebrick-database and the help TypeORM

Dependency Injection

NodebrickCore provides dependency injection by using internally InversifyJS

All the bindings will be defined in the <ModuleNameBindings>.ts as for instance

    //  bind the module to its interface using transitive binding, i.e we are reusing the singleton.
    bind(INodebrickApiModule).toService(NodebrickApiModule);

    //  middlewares - transient
    bind(IGlobalApiMiddleware).to(GlobalApiMiddleware).inTransientScope();
    bind(IGlobalOptionsMiddleware).to(GlobalOptionsMiddleware).inTransientScope();
    bind(IGlobalRequestMiddleware).to(GlobalRequestMiddleware).inTransientScope();

    //  services - singletons
    bind(INodebrickApiService).to(NodebrickApiService).inSingletonScope();

As you can see bindings can have multiples scopes, Transient, Singleton and Request.
Please see InversifyJS documentation.

Contexts

A context can be defined as all the relevant information that a developer needs to complete a task.
Nodebrick Core uses cls-hooked internally.
We invite you to read the documentation.

Here is an excerpt of the documentation explaining the core of this library and how it is helping

Continuation-local storage works like thread-local storage in threaded programming, but is based on chains of Node-style callbacks instead of threads. The standard Node convention of functions calling functions is very similar to something called "continuation-passing style" in functional programming, and the name comes from the way this module allows you to set and get values that are scoped to the lifetime of these chains of function calls

When you set values in continuation-local storage, those values are accessible until all functions called from the original function – synchronously or asynchronously – have finished executing. This includes callbacks passed to process.nextTick and the timer functions (setImmediate, setTimeout, and setInterval), as well as callbacks passed to asynchronous functions that call native functions (such as those exported from the fs, dns, zlib and crypto modules).

A simple rule of thumb is anywhere where you want to have threaded scoped variables should now use continuation-local storage. This API is designed to allow you extend the scope of a variable across a sequence of function calls, but with values specific to each sequence of calls. Values are grouped into namespaces, created with createNamespace(). Sets of function calls are grouped together by calling them within the function passed to .run() on the namespace object. Calls to .run() can be nested, and each nested context this creates has its own copy of the set of values from the parent context. When a function is making multiple asynchronous calls, this allows each child call to get, set, and pass along its own context without overwriting the parent's.

This is a diagram explaining the above

context diagram

And this is the cls-hooked documention explaining it with code

A simple, annotated example of how this nesting behaves:

   var createNamespace = require('cls-hooked').createNamespace;
    
    var writer = createNamespace('writer');
    writer.run(function () {
      writer.set('value', 0);
     
      requestHandler();
    });
     
    function requestHandler() {
      writer.run(function(outer) {
        // writer.get('value') returns 0
        // outer.value is 0
        writer.set('value', 1);
        // writer.get('value') returns 1
        // outer.value is 1
        process.nextTick(function() {
          // writer.get('value') returns 1
          // outer.value is 1
          writer.run(function(inner) {
            // writer.get('value') returns 1
            // outer.value is 1
            // inner.value is 1
            writer.set('value', 2);
            // writer.get('value') returns 2
            // outer.value is 1
            // inner.value is 2
          });
        });
      });
     
      setTimeout(function() {
        // runs with the default context, because nested contexts have ended
        console.log(writer.get('value')); // prints 0
      }, 1000);
    }

This also helps segregating the stream of processes (think for instance multiple call to an API, we will create a context when we get a request isolating any models in the context)

Usage

Nodebrick Core provides you with tools to:

  • create a context
  • attach typed value to the context
  • retrieve specific values from the context
Creating and using context

Please see the following example

abstract class ISomeClass {}

class IATypedValue {
    public someProperty: string;
}

abstract class IATypedValueContext extends IContext<IATypedValue> {}

class SomeClass extends ISomeClass implements ISomeClass
{
    private readonly _applicationContext: IApplicationContextService;
    private readonly _logger: INodebrickLoggerService;

    //  dependency injection
    public constructor(
        applicationContext: IApplicationContextService
    )
    {
        super();
        this._applicationContext = applicationContext;
    }

    // eslint-disable-next-line @typescript-eslint/no-explicit-any
    public async someMethod(): Promise<void>
    {
        //  this creates a new context copying the values from the parent (if any)
        this._applicationContext.session.run(() =>
        {
            //  set a value in the context
            this._applicationContext.set(IATypedValueContext, {someProperty: "it works"});
        });
    }
}

abstract class ISomeOtherClass {}

class SomeOtherClass extends ISomeOtherClass implements ISomeOtherClass
{
    private readonly _applicationContext: IApplicationContextService;

    //  dependency injection
    public constructor(
        applicationContext: IApplicationContextService,
        logger: INodebrickLoggerService,
    )
    {
        super();
        this._applicationContext = applicationContext;
        this._logger = logger;
    }

    // eslint-disable-next-line @typescript-eslint/no-explicit-any
    public async someMethod(): Promise<void>
    {
        //  this creates a new context copying the values from the parent (if any)
        const aTypedValue: IATypedValue = this._applicationContext.get(IATypedValueContext);
        //  log "it works"
        console.log(aTypedValue.someProperty)
    }
}

Existing Contexts

​ nodebrick-core defines multiple contexts that can be used by other modules.

  • Sorting with IOptionSortContext using IOptionSort
    creates an object representing how fields should be sorted
    used internally by:

    • nodebrick-api - sets it from query parameter
    • nodebrick-database - can read it to apply to query parameter

    object example:

    {
        fields: [ 
            city: SortEnum.ASC,
            age: SortEnum.DESC
        ];
    }
    
  • Field selection with IOptionFieldsContext using IOptionFields class
    creates an object representing what fields will be retreived on the resource
    used internally by:

    • nodebrick-api - sets it from query parameter
    • nodebrick-database - can read it to apply to query parameter

    object example

    {
        author: true,
        library: {
            name: {
                common: true
            },
            address: {
                city: true,
                country: {
                    code: true
                }
            }
        },
        price: true
    }
    
  • Filtering with IOptionFiltersContext using IOptionFilters class
    creates an object representing how to filter requested resource
    used internally by:

    • nodebrick-api - sets it from query parameter
    • nodebrick-database - can read it to apply to query parameter

    The list of available operator is:

    • $in: FilterOperatorsEnum.IN
    • $nin: FilterOperatorsEnum.NOT_IN
    • $between: FilterOperatorsEnum.BETWEEN
    • $nbetween: FilterOperatorsEnum.NOT_BETWEEN
    • $eq: FilterOperatorsEnum.EQUALS
    • $neq: FilterOperatorsEnum.NOT_EQUALS
    • $gt: FilterOperatorsEnum.GREATER_THAN
    • $gte: FilterOperatorsEnum.GREATER_THAN_OR_EQUALS
    • $lt: FilterOperatorsEnum.LESSER_THAN
    • $lte: FilterOperatorsEnum.LESSER_THAN_OR_EQUALS
    • $like: FilterOperatorsEnum.LIKE
    • $nlike: FilterOperatorsEnum.NOT_LIKE
    • $ilike: FilterOperatorsEnum.ILIKE
    • $nilike: FilterOperatorsEnum.NOT_ILIKE

    object example

    {
        author: 
        {
            property: "author",
            value: [
                "stephen king"
            ],
            operator: "$like",
            operatorSQL: [
                "LIKE"
            ]
        }  
    }
    
    
  • Pagination with IOptionPaginationContext using IOptionPagination creates an object defining the clients requires pagination and its specifics (type, start/end, ...)
    used internally by:

    • nodebrick-api - sets it from query parameter
    • nodebrick-database - can read it to apply to query parameter

    We have implemented two types of paginations, seek and offset.

    Offset pagination
    requires the record you want to start from and a limit (number of records to return).
    This is VERY inefficient. It requires the database to also work with on all the previous records.
    This is somehow the default almost everywhere.

    Add the following:

    • start: integer
      returns start at the record counts
    • limit: integer
      return this number of records

    object example:

    {
        type: "offset",
        limit: 5,
        start: 5,
        prev_url: "/resource?limit=5&start=0",
        self_url: "/resource?limit=5&start=5",
        next_url: "/resource?limit=5&start=10"  
    }
    ​
    


    Seek pagination
    (extension of keyset pagination, have a look) pagination where you give the ID to get result after or before. This also use the limit (number of item to return).
    This is efficient as the database will jump exactly to this record and the next <Limit> number and work on those.

    Add the following:

    • limit: integer.
      Return this number of records
    • before: UUID
      Return the records before this UUID OR
    • after: UUID
      Return the records after this UUID

    object example:

    {
        type: "seek",
        limit: 5,
        after: null,
        before: "c8dae5da-0b64-4b55-ab56-95f59b9eb8b2",
        self: "/nodebrick-api/options?limit=5&before=c8dae5da-0b64-4b55-ab56-95f59b9eb8b2&options=%7Bfields%3A%7Bauthor,library(name%2Fcommon,address(city,country%2Fcode)),price%7D,filters%3A%7Bauthor%3A%24like_stephen%20king,book%3A%24nilike_it,date%3A%24between_1995-01-01_2018-12-12%7D%7D",
        prev: "/nodebrick-api/options?limit=5&before=undefined&options=%7Bfields%3A%7Bauthor,library(name%2Fcommon,address(city,country%2Fcode)),price%7D,filters%3A%7Bauthor%3A%24like_stephen%20king,book%3A%24nilike_it,date%3A%24between_1995-01-01_2018-12-12%7D%7D"  
    }
    ​
    
  • Counting with ICountContext using ICount creates an object defining if the client required counting of resources
    used internally by:

    • nodebrick-api - sets it from query parameter
    • nodebrick-database - can read it to apply to query parameter

    object example:

    {
        "do_count": <boolean>,
        "count": <integer>
    }
    

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