feat(): Implementing get reviwes by college name feature

[thirochas]

Dependencies

None.

Documentation

• README.md - Overview of the full-stack coding exercise.
• SOLUTION.MD - Detailed solution documentation including implementation strategy, trade-offs, and instructions.

Description

This PR implements the back-end service for the Niche.com college review system as part of the full-stack coding exercise.

Key components include:

• Data Loading: Implemented CSV parsing to load college review data into an in-memory data structure (ReviewsData) for efficient querying.
• API Endpoints:
• /autocomplete: Provides college name suggestions based on a query string, supporting prefix matching.
• /reviews: Retrieves all reviews for a specified college name via query parameter.
• Architecture: Follows clean architecture with domain models, repository layer for data access, and service layer for business logic.
• Error Handling: Includes proper HTTP status codes and error messages for invalid requests or missing data.
• Testing: Added unit tests for the service layer to validate functionality.
  The service starts on port 8080 and serves JSON responses with CORS headers enabled for front-end integration.

Testing Considerations

• Unit tests are included in review_service_test.go, covering the core service methods with sample data from data/niche_reviews.csv.
• Test cases include valid college names (e.g., "Harvard University", "Stanford University") and error scenarios (e.g., nonexistent colleges). No QE testing required for this coding exercise submission; add the "NO QA" label.

SQL Migrations

No SQL migrations required. The service uses in-memory data loaded from a CSV file and does not interact with a database.

Deployment

Versioning

Minor bump. This adds new functionality (college review API endpoints) without breaking changes, as it's an initial implementation of the service.