Felipe Cardoso 5f3a098403 Add search and filtering functionality to useAdminUsers hook and associated components ...

- Enhanced `useAdminUsers` to support `search`, `is_active`, and `is_superuser` filters.
- Updated `UserManagementContent` to read filters from URL parameters and convert them to API-compatible formats.
- Introduced E2E and unit tests to validate filtering behavior and URL param synchronization.
- Ensured proper handling of combined filters and empty states in tests.

2025-11-06 15:35:13 +01:00

backend

Refine organization query to count only active members using CASE statement

2025-11-06 11:11:18 +01:00

frontend

Add search and filtering functionality to useAdminUsers hook and associated components

2025-11-06 15:35:13 +01:00

.env.template

Update POSTGRES_DB value in .env.template to use a lowercase name

2025-11-02 04:11:59 +01:00

.gitignore

Introduce AuthContext and refactor layout for dependency injection

2025-11-03 11:33:39 +01:00

CLAUDE.md

Remove AUTH_CONTEXT_MIGRATION_PLAN.md as it is outdated following the completion of Phase 2 and no longer relevant to the current implementation.

2025-11-05 23:20:45 +01:00

docker-compose.deploy.yml

Add deployment Docker Compose file, testing utilities, security helpers, and database initialization script

2025-10-29 22:30:43 +01:00

docker-compose.dev.yml

Refactor and reorganize Alembic and database configuration.

2025-02-28 09:26:25 +01:00

docker-compose.yml

Introduce AuthLoadingSkeleton and HeaderSkeleton for smoother loading, replace spinner in AuthGuard, update ReactQueryDevtools toggle, enable Docker ports for local development.

2025-11-02 16:56:23 +01:00

LICENSE

Add Dockerized FastNext stack template with backend and frontend

2025-02-27 13:45:03 +01:00

Makefile

Add clean-slate target to Makefile for removing containers and volumes

2025-11-02 04:36:35 +01:00

Description

FastNext Stack is a modern full-stack template combining FastAPI, Next.js, and PostgreSQL in a Docker-ready environment. It provides a production-grade foundation for building scalable web applications with TypeScript frontend and Python backend.

MIT 7.3 MiB

Languages

TypeScript 53.5%

Python 44.4%

JavaScript 1.3%

Makefile 0.3%

CSS 0.2%

Other 0.2%