Stop the blog from using markdown files but to store blog posts in the database via the api context

[AyabongaQwabi]

Ticket: Migrate Blog Post Management to Database and API Context

Description

The current implementation of the Next.js blog relies on Markdown files for managing blog posts. This ticket aims to migrate the blog to use a database for storing posts and integrate the API context for fetching and managing blog data. This will enhance scalability, enable dynamic updates, and simplify content management.

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Key Objectives

1. Database Integration:

   • Set up a database schema for blog posts with fields for:
     • id (Unique identifier)
     • title
     • content (HTML or structured text format)
     • author
     • createdAt
     • updatedAt
     • tags
     • categories
     • status (draft/published)
   • Migrate existing Markdown posts into the database.

2. API Endpoints:

   • Create REST or GraphQL endpoints to handle:
     • Fetching all blog posts.
     • Fetching a single blog post by ID.
     • Creating a new blog post.
     • Updating an existing blog post.
     • Deleting a blog post.
   • Include proper error handling and validation for all endpoints.

3. Frontend Updates:

   • Update the blog pages to pull data from the API context instead of static Markdown files.
   • Ensure the blog post content is rendered correctly using data from the database.
   • Update any components reliant on the current Markdown structure to handle API-based data.

4. Admin Management:

   • If applicable, implement an admin interface to manage blog posts (e.g., create, edit, delete).
   • Allow draft/published status toggling from the admin interface.

5. Performance Optimization:

   • Add caching mechanisms to reduce redundant API calls for frequently accessed blog posts.

6. Testing:

   • Write tests to ensure:
     • API endpoints work as expected.
     • Frontend fetches and displays data correctly.
     • Error handling scenarios are covered.

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Acceptance Criteria

• All blog posts are stored in the database.
• Blog data is fetched dynamically using the API context.
• Existing blog functionality (listing, filtering, viewing) works as expected with database integration.
• Markdown files are no longer used for managing blog posts.
• Tests are implemented and pass successfully.

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Developer Notes

To streamline this process, consider leveraging Vercel's V0 AI Agent for setting up APIs and database models.

Example Prompt for V0 AI:

Create a Next.js API route that fetches, creates, updates, and deletes blog posts from a MongoDB database.  
The blog post model should include the following fields:  
- `id` (UUID)  
- `title` (string, max 100 characters)  
- `content` (string)  
- `author` (string)  
- `tags` (array of strings)  
- `categories` (array of strings)  
- `createdAt` (timestamp)  
- `updatedAt` (timestamp)  
- `status` (enum: draft/published)  

Ensure the endpoints support pagination, sorting by `createdAt`, and filtering by `tags` or `categories`.  
Include example tests for the API routes using Jest or any preferred testing framework.  

This will provide a solid foundation for the migration process and help maintain development speed.### Ticket: Migrate Blog Post Management to a Database and API Framework

Description

The current blog setup in Next.js utilizes Markdown files for post management. This ticket proposes a transition to a database-driven approach for storing blog posts, complemented by an API context for managing and retrieving blog data. This initiative is expected to enhance scalability, facilitate dynamic updates, and streamline content management, ultimately improving user experience.

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Key Objectives

1. Database Integration:

   • Establish a robust database schema for blog posts that includes the following fields:
     • id (Unique identifier)
     • title
     • content (in HTML or a structured text format)
     • author
     • createdAt
     • updatedAt
     • tags
     • categories
     • status (draft or published)
   • Migrate existing Markdown posts into this new database format to ensure continuity.

2. API Endpoints:

   • Develop REST or GraphQL endpoints to enable various functionalities including:
     • Retrieving all blog posts.
     • Fetching a single blog post by ID.
     • Creating new blog posts.
     • Updating existing posts.
     • Deleting posts as required.
   • Ensure proper error handling and validation processes are incorporated for each endpoint.

3. Frontend Enhancements:

   • Revise the blog pages to source data from the API rather than static Markdown files.
   • Ensure that the blog content is accurately rendered using data from the database.
   • Update components that rely on the current Markdown structure to seamlessly support the new API-based data.

4. Admin Management Interface:

   • If applicable, create a user-friendly admin interface to facilitate the management of blog posts (e.g., creating, editing, and deleting posts).
   • Enable toggling between draft and published status directly from the admin panel.

5. Performance Optimization:

   • Introduce caching mechanisms to minimize redundant API calls for frequently accessed posts, thus enhancing performance.

6. Comprehensive Testing:

   • Develop tests to ensure:
     • API endpoints operate correctly and efficiently.
     • The frontend fetches and displays data accurately.
     • All potential error handling scenarios are appropriately addressed.

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Acceptance Criteria

• All blog posts are securely stored within the database.
• Blog data is dynamically fetched using the API context.
• Existing functionalities (such as listing, filtering, and viewing posts) are maintained after the database integration.
• Markdown files are fully phased out in favor of the new database management system.
• Tests are created and successfully executed before the migration is deemed complete.

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Developer Notes

To facilitate this migration, consider using Vercel's V0 AI Agent for setting up the required APIs and database models effectively.

Example Prompt for V0 AI:

Create a Next.js API route that can fetch, create, update, and delete blog posts stored in a MongoDB database.  
The blog post model should comprise the following fields:  
- `id` (UUID)  
- `title` (string, maximum 100 characters)  
- `content` (string)  
- `author` (string)  
- `tags` (array of strings)  
- `categories` (array of strings)  
- `createdAt` (timestamp)  
- `updatedAt` (timestamp)  
- `status` (enum: draft or published)  

Be sure to implement pagination, allow sorting by `createdAt`, and enable filtering by `tags` or `categories`.  
Include example tests for the API routes using Jest or any other testing framework of your choice.  

This proactive approach will lay a strong foundation for a successful migration, ensuring a more efficient and dynamic management process for our blog content. Thank you for your collaboration in this endeavor Matt! Go forth and Conquer!