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@o2s/blocks.article-search

v1.8.2

Published

Block for searching articles.

Readme

@o2s/blocks.article-search

Block for searching articles.

The article-search block provides a searchable knowledge base or help center. Users enter a query and see paginated results powered by the Search integration (e.g. Algolia). It is typically used on help center or knowledge base pages alongside category navigation.

  • Full-text search – Query articles by keyword; integrates with Algolia or similar
  • Paginated results – Navigate through search result pages
  • Configurable – Block config from CMS; search index from integration
  • Articles + Search – Requires both Articles and Search integrations

Content editors place the block and configure labels via CMS. Developers connect it to an Articles integration and a Search integration (e.g. Algolia) for index-backed search.

Domain

Domain: Content

Installation

npm install @o2s/blocks.article-search

Usage

Backend (API Harmonization)

Register the block in app.module.ts:

import * as ArticleSearch from '@o2s/blocks.article-search/api-harmonization';
import { AppConfig } from './app.config';

@Module({
    imports: [
        ArticleSearch.Module.register(AppConfig),
    ],
})
export class AppModule {}

Frontend

Register the block in renderBlocks.tsx:

import * as ArticleSearch from '@o2s/blocks.article-search/frontend';

export const renderBlocks = async (blocks: CMS.Model.Page.SlotBlock[]) => {
    return blocks.map((block) => {
        if (block.type === 'article-search') {
            return (
                <ArticleSearch.ArticleSearchRenderer
                    key={block.id}
                    id={block.id}
                    slug={slug}
                    locale={locale}
                    accessToken={session?.accessToken}
                    userId={session?.user?.id}
                    routing={routing}
                />
            );
        }
        // ... other blocks
    });
};

SDK

Use the SDK to search articles:

import { sdk } from '@o2s/blocks.article-search/sdk';

// SDK uses NEXT_PUBLIC_API_URL for the API base URL
const searchResults = await sdk.blocks.searchArticles(
    { query: 'search term', id: 'block-id' },
    { 'x-locale': 'en' },
    accessToken
);

Configuration

This block requires the following integrations to be configured in AppConfig:

import { Articles, CMS, Search } from '@o2s/configs.integrations';

export const AppConfig: ApiConfig = {
    integrations: {
        articles: Articles.ArticlesIntegrationConfig,  // Required
        cms: CMS.CmsIntegrationConfig,                 // Required
        search: Search.SearchIntegrationConfig,        // Optional (for enhanced search)
    },
};

Environment Variables

The required environment variables depend on which integrations you're using:

  • For Algolia integration: See @o2s/integrations.algolia documentation
  • For Strapi CMS: See @o2s/integrations.strapi-cms documentation
  • For mocked integration: No additional environment variables needed

API

Block Endpoint

GET /api/blocks/article-search/:id?query=search-term

Headers:

  • x-locale: Content locale (required)

Response:

{
    id: string;
    data: {
        articles: Article[];
        query: string;
    };
}

Related Blocks

  • @o2s/blocks.article
  • @o2s/blocks.article-list
  • @o2s/blocks.category
  • @o2s/blocks.category-list
  • @o2s/blocks.faq
  • @o2s/blocks.document-list

About Blocks in O2S

Blocks are self-contained, reusable UI components that combine harmonizing and frontend components into a single package. Each block is independently packaged as an NPM module and includes three primary parts: API Harmonization Module, Frontend Components, and SDK Methods. Blocks allow you to quickly add or remove functionality without impacting other components of the application.

About O2S

Part of Open Self Service (O2S) - an open-source framework for building composable customer self-service portals. O2S simplifies integration of multiple headless APIs into a scalable frontend, providing an API-agnostic architecture with a normalization layer.