High-performance and architecturally clean REST API core, designed according to the principles of Clean Architecture. The project is fully containerized and optimized for instant local deployment or production deployment. This template is developed as a universal Enterprise foundation (User Management System) for custom CRMs, marketplaces, mobile backends, and SaaS platforms, eliminating the need to write basic logic from scratch.
Architectural features and technologies
1. Clean Architecture: Clear separation of responsibilities. SQLAlchemy business models are placed at the root of the backend, CRUD logic is isolated in the Repository pattern, and data validation is handled by Pydantic v2 schemas. This eliminates clutter in the code and simplifies scaling.
2. Security on UUID v7: All entities in the database use modern, time-ordered UUID v7 identifiers. This protects the system from brute-forcing incremental IDs (1, 2, 3), hides the actual data volume from competitors, and speeds up indexing in PostgreSQL compared to older UUID v4.
3. Advanced role-based access model: Strict separation of rights (Administrator / Author / User) is implemented through FastAPI dependencies. Route protection operates at the JWT Bearer authorization level.
4. Deployment automation (CI/CD Ready): The built-in container script automates deployment. Upon starting the Docker container, it independently checks the availability of PostgreSQL, automatically applies step-by-step Alembic migrations, and runs the database seed script for automatic creation or updating of superadmin rights.
5. Native API specification: Swagger UI and ReDoc documentation is generated automatically based on Python types and Pydantic schemas. REST endpoint paths ensure conflict-free generation of frontend types through Orval/OpenAPI-codegen.
6. Query optimization (N+1 Fixed): All related entities are fetched through eager loading (joinedload) at the repository level. This reduces the load on the DBMS, eliminates detached instance errors when working with multiprocess workers Uvicorn in production, and shortens API response time.
Available endpoint specification
Architectural features and technologies
1. Clean Architecture: Clear separation of responsibilities. SQLAlchemy business models are placed at the root of the backend, CRUD logic is isolated in the Repository pattern, and data validation is handled by Pydantic v2 schemas. This eliminates clutter in the code and simplifies scaling.
2. Security on UUID v7: All entities in the database use modern, time-ordered UUID v7 identifiers. This protects the system from brute-forcing incremental IDs (1, 2, 3), hides the actual data volume from competitors, and speeds up indexing in PostgreSQL compared to older UUID v4.
3. Advanced role-based access model: Strict separation of rights (Administrator / Author / User) is implemented through FastAPI dependencies. Route protection operates at the JWT Bearer authorization level.
4. Deployment automation (CI/CD Ready): The built-in container script automates deployment. Upon starting the Docker container, it independently checks the availability of PostgreSQL, automatically applies step-by-step Alembic migrations, and runs the database seed script for automatic creation or updating of superadmin rights.
5. Native API specification: Swagger UI and ReDoc documentation is generated automatically based on Python types and Pydantic schemas. REST endpoint paths ensure conflict-free generation of frontend types through Orval/OpenAPI-codegen.
6. Query optimization (N+1 Fixed): All related entities are fetched through eager loading (joinedload) at the repository level. This reduces the load on the DBMS, eliminates detached instance errors when working with multiprocess workers Uvicorn in production, and shortens API response time.
Available endpoint specification