PkFokam-Alumni-Network/CommunityBackendService

AI Summary: Develop a FastAPI-based RESTful API for managing resumes, including endpoints for uploading new resumes, retrieving a user's resume history, fetching resumes for review, and submitting reviews. This involves creating a new router (`resume_router.py`), defining Pydantic schemas for request and response bodies, and implementing the corresponding API endpoints.

AI Summary: Develop a ResumeRepository class for database interactions (CRUD operations) related to resumes, mirroring existing repository patterns. Create a ResumeService class to handle business logic, including validation to ensure only one resume is under review at a time. This involves database interactions, service layer implementation, and validation logic.

AI Summary: Implement SQLAlchemy models for Resume and ResumeReview, including file_name, file_path, status, user_id, resume_id, reviewer_id, and comments. Generate an Alembic migration to update the database schema.

AI Summary: Upgrade the Dockerfile images used in the CommunityBackendService project to address security vulnerabilities, while minimizing image size. This involves identifying vulnerable images, finding suitable replacements, updating the Dockerfile, rebuilding the images, and testing the updated service to ensure functionality.