Development of Social Media API with FastAPI

Ayomide

Ayomide Ganiyu

Social Media API (FastAPI) — Auth, Posts, Likes, Votes, PostgreSQL

Problem: Modern social platforms need secure, scalable backends that can handle authentication, user content (posts), and engagement (likes/votes). Many off-the-shelf solutions are either bloated or insecure, making it difficult for startups to quickly launch a reliable MVP.
Solution: I designed and implemented a production-ready Social Media API using FastAPI and PostgreSQL. Key features:
JWT Authentication with signup/login, token refresh, password hashing, and protected routes.
User & Profile Management with unique emails, timestamps, and ownership relationships.
Posts API supporting create/read/update/delete with strict ownership checks.
Likes & Votes with idempotent like/unlike logic and DB constraints to prevent duplicates.
Pagination & Filtering for large feeds.
Database Layer using PostgreSQL, SQLAlchemy, and Alembic migrations (foreign keys, cascades).
Clean Architecture with routers, schemas, services, and type-safe Pydantic models.
Security & Observability with structured logs, error handling, CORS, and principle of least privilege.
Deployment Ready with Docker images for dev & prod environments.
Result:
Performance: Optimized async endpoints for fast response times.
Reliability: DB constraints + JWT guardrails prevented duplicate likes and unauthorized actions.
Scalability: Modular design makes it easy to extend with new features (comments, follows, media uploads, notifications).
Deliverables: Complete repo with README, Alembic migrations, .env template, Postman collection/OpenAPI docs, runbook, and optional CI setup.
Example Endpoints:
POST /auth/signup / POST /auth/login → secure user authentication
GET /posts?limit=20&skip=0 → paginated feed
POST /posts/{id}/like → idempotent like/unlike
PUT /posts/{id} / DELETE /posts/{id} → owner-only actions
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Posted Sep 19, 2025

Built a Social Media API with FastAPI, handling auth, posts, likes, and data modeling with PostgreSQL.