@sourceloop/search-service / Exports

@sourceloop/search-service¶

Overview¶

A LoopBack microservice used for searching over configured models. It uses in-build Full Text Search support in PostgreSQL and MySQL databases to perform searches.

Installation¶

1	`npm i @sourceloop/search-service`

Usage¶

Create a new Loopback4 Application (If you don't have one already) lb4 testapp
Install the search service npm i @sourceloop/search-service

Bind the configuration for the service to the SearchServiceBindings.Config key -

this.bind({
  useCustomSequence: false, //default
  type: SearchResult, //default
  models: [
    //required
    ToDo, //according to project
    {
      model: User,
      columns: {
        name: 'username',
        description: 'about',
      },
    },
  ],
  controller: {
    //optional
    name: 'ToDo',
    basePath: '/todo/search',
    authorizations: ['SearchTodo'],
  },
});

Add the SearchService to your Loopback4 Application (in application.ts)

// import the SearchServiceComponent
import {SearchServiceComponent} from '@sourceloop/search-service';
// add Component for SearchServiceComponent
this.component(SearchServiceComponent);

Set up a Loopback4 Datasource with dataSourceName property set to SearchServiceBindings.DATABASE_NAME. You can see an example datasource here. This service supports MySQL and PostgreSQL based datasources as of now.
Start the application npm start

Configurations¶

useCustomSequence

The service comes with a default sequence with inbuilt authentication and authorization using the loopback4-authentication and loopback4-authorization. If you want to use your custom sequence instead, set this option as true.

type

Type of the result set, by default it is a model with two properties - name and description;

models

It sets the models and columns over which the search is performed. It's value is a list with two types of values -

Models - A class that extends the Loopback Model.
An Object with two properties -
- model - A class that extends the Loopback Model
- columns - A key-value map that maps the keys of the database model to the keys in the result set.

controller

Configuration for the controller, it accepts three properties -

name - name of the Controller, by default it is SearchController
basePath - basePath of the controller, be default it is {name}/search, if even the name is not provided, it is just /search
authentication - if authentication should be required or not, this must be enable to use authorizations
authorizations - list of string corresponding to the permissions required for the search API, by default equal to ['*'](allowed for everyone).
recents - provider an endpoint to fetch recent searches. authentication must be enabled to use this.
recentCount - number of recent searches to be saved for each user, default value is 5.

Setting up a `DataSource`¶

Here is a Sample Implementation DataSource implementation using environment variables.

import {inject, lifeCycleObserver, LifeCycleObserver} from  '@loopback/core';
import {juggler} from  '@loopback/repository';
import {SearchServiceBindings.DATABASE_NAME} from  '@sourceloop/search-service';

const  config = {
  name:  SearchServiceBindings.DATABASE_NAME,
  connector:  'postgresql',
  url:  '',
  host:  process.env.DB_HOST,
  port:  process.env.DB_PORT,
  user:  process.env.DB_USER,
  password:  process.env.DB_PASSWORD,
  database:  process.env.DB_DATABASE,
  schema:  process.env.DB_SCHEMA,
};

@lifeCycleObserver('datasource')
export  class  SearchDbDataSource  extends  juggler.DataSource implements  LifeCycleObserver {
  static  dataSourceName = SearchServiceBindings.DATABASE_NAME;
  static  readonly  defaultConfig = config;

  constructor(
    // You need to set datasource configuration name as 'datasources.config.search' otherwise you might get Errors
    @inject('datasources.config.search', {optional:  true})
    dsConfig: object = config,
  ) {
      super(dsConfig);
  }
}

Also if you are using postgres datasource, you need to add the following function in your db -

CREATE OR REPLACE FUNCTION f_concat_ws(text, VARIADIC text[])
  RETURNS text LANGUAGE sql IMMUTABLE AS 'SELECT array_to_string($2, $1)';

And to improve performance define an index like this -

CREATE INDEX tbl_fts_idx ON main.<TABLENAME> USING GIN (
       to_tsvector('english', f_concat_ws(' ', <COLUMN1>, <COLUMN2>)));

Migrations¶

The migrations required for this service are processed during the installation automatically if you set the CHAT_MIGRATION or SOURCELOOP_MIGRATION env variable. The migrations use db-migrate with db-migrate-pg driver for migrations, so you will have to install these packages to use auto-migration. Please note that if you are using some pre-existing migrations or databasea, they may be affected. In such a scenario, it is advised that you copy the migration files in your project root, using the CHAT_MIGRATION_COPY or SOURCELOOP_MIGRATION_COPY env variables. You can customize or cherry-pick the migrations in the copied files according to your specific requirements and then apply them to the DB.

Additionally, there is now an option to choose between SQL migration or PostgreSQL migration. NOTE: For @sourceloop/cli users, this choice can be specified during the scaffolding process by selecting the "type of datasource" option.

API Documentation¶

Common Headers¶

Authorization: Bearer \ where \ is a JWT token signed using JWT issuer and secret. Content-Type: application/json in the response and in request if the API method is NOT GET

Common Request path Parameters¶

{version}: Defines the API Version

Common Responses¶

200: Successful Response. Response body varies w.r.t API 401: Unauthorized: The JWT token is missing or invalid 403: Forbidden : Not allowed to execute the concerned API 404: Entity Not Found 400: Bad Request (Error message varies w.r.t API) 201: No content: Empty Response