Implemented issue #9 - Frontend Project Setup with Svelte and TypeScript.
Changes:
- Created SvelteKit project with TypeScript
- Set up routing structure:
- / (landing page)
- /login
- /register
- /dashboard
- /bot/[id]
- /bot/[id]/backtest
- /bot/[id]/simulate
- /settings
- Created Svelte stores for state management:
- userStore - Current user info
- botsStore - List of user's bots
- currentBotStore - Selected bot
- chatStore - Chat messages
- backtestStore - Backtest results
- simulationStore - Simulation signals
- authStore - Authentication state
- Created API client for backend communication
- Set up environment variables (.env.example)
- Created auth store with protected routes and login/register functionality
- Add register endpoint with bcrypt password hashing
- Add login endpoint returning JWT tokens
- Add logout endpoint with token blacklisting
- Add /me endpoint for current user info
- Add rate limiting (5/minute) for login attempts using slowapi
- Add user settings GET and PATCH endpoints
- Create auth middleware via get_current_user dependency
- Add UserSettings and UserSettingsUpdate schemas
Based on IMPLEMENTATION_PLAN.md Section 4 schema, the existing schemas.py
was missing schemas for:
- BotConversationCreate/Response (for bot_conversations table)
- SignalResponse (for signals table)
These were identified as gaps during issue #3 review.
- Added 3 runnable Python scripts for Data REST, Data WebSocket, and Trading APIs
- Expanded research with 7 new sections:
- Extended API documentation with full request/response examples
- Working code examples with CLI commands
- Security guide (API keys, HMAC signing, private key protection)
- Testing strategies (dry-run, paper trading, testnets)
- Troubleshooting guide with error codes
- Competitive analysis vs DexScreener, Moralis, CoinGecko
- Quick reference appendix
Research doc grew from 242 to 906 lines
