009c60fbc3
Implements custom step creation forms and backend persistence: Task B.8 - StepForm Component: - Comprehensive form for creating custom steps - Step type selection (decision/action/solution) with descriptions - Required fields: title, instructions (markdown supported) - Optional fields: help text, commands (dynamic array), category, tags - Visibility control (private/team/public) - Save to library checkbox - Full validation with error display - Dynamic command management (add/remove, label + command) - Tag input with Enter key support Task B.9 - CustomStepModal: - Tabbed modal interface - Tab 1: "Type My Own" - embeds StepForm - Tab 2: "Browse Library" - embeds StepLibraryBrowser - Handles both saved steps (API) and drafts (no save) - Loading states during step creation - Error handling with user feedback - Returns Step or CustomStepDraft to parent Task B.10 - Backend Custom Steps Support: - Database migration: add custom_steps JSONB column to sessions - Updated Session model with custom_steps field - Updated SessionResponse schema with custom_steps - Updated SessionUpdate schema to accept custom_steps - Migration ready to run: 4cdb5cba1aff Task B.13 - Session Types Updates: - Added CustomStep and CustomStepDraft interfaces - Updated Session interface with custom_steps field - Updated SessionUpdate interface - Exported step types from types/index.ts - Full TypeScript support for custom step integration Remaining tasks: B.11 (TreeNavigationPage integration), B.12 (Export) Build tested successfully. Related: Issues #8, #9, #10 Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Troubleshooting Decision Tree - Backend API
FastAPI backend for the Troubleshooting Decision Tree application.
Quick Start
1. Set up Python environment
cd backend
python -m venv venv
# Windows
venv\Scripts\activate
# macOS/Linux
source venv/bin/activate
pip install -r requirements.txt
2. Start PostgreSQL database
Using Docker:
docker-compose up -d
Or install PostgreSQL locally and create a database:
CREATE DATABASE decision_tree;
3. Configure environment
Copy the example env file and update as needed:
cp .env.example .env
4. Run database migrations
alembic upgrade head
5. Start the server
uvicorn app.main:app --reload --host 0.0.0.0 --port 8000
The API will be available at:
- API: http://localhost:8000
- Docs: http://localhost:8000/api/docs
- ReDoc: http://localhost:8000/api/redoc
API Endpoints
Authentication
POST /api/v1/auth/register- Register new userPOST /api/v1/auth/login- Login (form data)POST /api/v1/auth/login/json- Login (JSON body)POST /api/v1/auth/refresh- Refresh tokenGET /api/v1/auth/me- Get current userPOST /api/v1/auth/logout- Logout
Trees
GET /api/v1/trees- List all treesGET /api/v1/trees/categories- List categoriesGET /api/v1/trees/search?q=query- Search treesGET /api/v1/trees/{id}- Get specific treePOST /api/v1/trees- Create tree (engineer/admin)PUT /api/v1/trees/{id}- Update tree (engineer/admin)DELETE /api/v1/trees/{id}- Delete tree (admin)
Sessions
GET /api/v1/sessions- List user's sessionsGET /api/v1/sessions/{id}- Get specific sessionPOST /api/v1/sessions- Start new sessionPUT /api/v1/sessions/{id}- Update sessionPOST /api/v1/sessions/{id}/complete- Complete sessionPOST /api/v1/sessions/{id}/export- Export session
Development
Create new migration
alembic revision --autogenerate -m "description"
Run migrations
alembic upgrade head
Rollback migration
alembic downgrade -1
Project Structure
backend/
├── alembic/ # Database migrations
│ └── versions/
├── app/
│ ├── api/
│ │ ├── endpoints/ # API route handlers
│ │ ├── deps.py # Dependencies (auth, etc.)
│ │ └── router.py # Main router
│ ├── core/
│ │ ├── config.py # Settings
│ │ ├── database.py # DB connection
│ │ └── security.py # JWT, password hashing
│ ├── models/ # SQLAlchemy models
│ ├── schemas/ # Pydantic schemas
│ └── main.py # FastAPI app
├── tests/
├── alembic.ini
├── docker-compose.yml
├── requirements.txt
└── README.md