- author: Coding in Public
Creating a Search Output File in Lesson Five
In this article, we will learn how to generate an output file in lesson five that will be built every time we statically build our site. This output file will contain all the post data that we need to query when we type in our search.
2. Why do we need this?
Our aim is to enable users to type in a search term and retrieve relevant content from our posts. By creating a search output file and loading it onto our search route, we can easily query the data and implement a fuzzy searcher for more accurate search results.
3. Setting up Different Endpoints with Astra
4. Creating the JSON File
To create the JSON output file, we need to add a file called
search.json.js inside the
pages directory. This file will export an async function called
get for a GET request. The function will return a new response with JSON content. We will use the
JSON.stringify method along with the
await getPosts function as the data to be stringified. Additionally, we need to pass in a status of 200 and set the content type as
5. Defining the
getPosts function will be an async function that retrieves the necessary post data. Currently, it returns a string with no content. To retrieve the actual post data, we can use the
await keyword followed by the
collection property from Astro content. By returning the
posts, we can fetch all the posts available on this specific route.
6. Testing the Search Output
After implementing the above steps, we can test the search output by refreshing the page. The result should show all the posts in the console log, including their IDs, slugs, bodies, titles, descriptions, publication dates, and hero images.
7. Customizing the Search Output
To optimize the search route and reduce the amount of data loaded, we can customize the search output. Instead of returning all the post data, we can return only the necessary properties for our search functionality. By using the
post.map function, we can create a new object for each post containing specific properties like slug, title, description, and publication date. This will make the search file smaller and faster to load.
8. Implementing the Search Functionality