- Removed outdated and redundant Alembic migration files to streamline the migration directory. This improves maintainability and eliminates duplicate or unused scripts.
- Updated `ARCHITECTURE.md` with thorough explanations of OAuth Consumer and Provider modes, supported flows, security features, and endpoints.
- Enhanced `.env.template` with environment variables for OAuth Provider mode setup.
- Expanded `README.md` to highlight OAuth Provider mode capabilities and MCP integration features.
- Added OAuth configuration section to `AGENTS.md`, including key settings for both social login and provider mode.
- Introduced make commands for E2E tests using Testcontainers and Schemathesis.
- Updated `.env.demo` with configurable OAuth settings for Google and GitHub.
- Enhanced `README.md` with updated environment setup instructions.
- Added E2E testing dependencies and markers in `pyproject.toml` for real PostgreSQL and API contract validation.
- Included new libraries (`arrow`, `attrs`, `docker`, etc.) for testing and schema validation workflows.
Resolved `pytest-cov` tracking for async routes by adjusting `.coveragerc` to include `greenlet` concurrency. Coverage improved from 79% to 88%, with significant gains across key modules like `admin.py` (46% → 98%). Updated details on coverage gaps and priorities for reaching 95% target.
- Introduced comprehensive test coverage for user-related API endpoints (`/users`, `/users/me`), including edge cases and error scenarios.
- Added success and error path tests for admin routes, including user management (CRUD operations, bulk actions) and organization management.
- Enhanced test reliability through improved exception handling and validation.
- Included test-specific scenarios for handling unexpected errors and reporting gaps in coverage with actionable recommendations.
- Added detailed coverage report to track progress and identify improvement areas.
- Updated `CODING_STANDARDS.md` with async SQLAlchemy patterns, modern Python type hints, and new error handling examples.
- Introduced a new `COMMON_PITFALLS.md` file detailing frequent implementation mistakes and explicit rules to prevent them.
- Covered database optimizations, validation best practices, FastAPI design guidelines, security considerations, and Python language issues.
- Aimed to enhance code quality and reduce recurring mistakes during development.
- Created `ARCHITECTURE.md` with an extensive overview of backend design, principles, and project structure.
- Documented key architectural layers: API, dependencies, services, CRUD, and data layers.
- Included comprehensive guidelines for database architecture, authentication/authorization, error handling, and testing strategy.
- Provided examples for each layer, security practices, and performance considerations.
- Aimed at improving developer onboarding and ensuring consistent implementation practices.
