commit eea4469095adaa2dca203b20c9005bdd8ab56968 Author: Chris Date: Thu Jan 22 14:27:43 2026 -0500 Initial release v1.1.0 - Complete MVP for tracking Fidelity brokerage account performance - Transaction import from CSV with deduplication - Automatic FIFO position tracking with options support - Real-time P&L calculations with market data caching - Dashboard with timeframe filtering (30/90/180 days, 1 year, YTD, all time) - Docker-based deployment with PostgreSQL backend - React/TypeScript frontend with TailwindCSS - FastAPI backend with SQLAlchemy ORM Features: - Multi-account support - Import via CSV upload or filesystem - Open and closed position tracking - Balance history charting - Performance analytics and metrics - Top trades analysis - Responsive UI design Co-Authored-By: Claude Sonnet 4.5 diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..668dd1d --- /dev/null +++ b/.gitignore @@ -0,0 +1,95 @@ +# Environment variables +.env +.env.local +.env.*.local + +# Python +__pycache__/ +*.py[cod] +*.class +*.so +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST +venv/ +ENV/ +env/ + +# Node / Frontend +node_modules/ +npm-debug.log* +yarn-debug.log* +yarn-error.log* +.pnpm-debug.log* +dist/ +dist-ssr/ +*.local + +# IDEs +.vscode/ +.idea/ +*.swp +*.swo +*~ +.DS_Store + +# Database +*.db +*.sqlite +*.sqlite3 +postgres_data/ + +# Docker volumes +imports/*.csv +!imports/.gitkeep + +# Logs +*.log +logs/ + +# Testing +.coverage +htmlcov/ +.pytest_cache/ +.tox/ + +# Misc +*.bak +*.tmp +.cache/ + +# Temporary fix files +*FIX*.md +*FIX*.txt +*FIX*.sh +*fix*.sh +diagnose*.sh +transfer*.sh +rebuild.sh +verify*.sh +apply*.sh +deploy*.sh +emergency*.sh +nuclear*.sh +complete*.sh + +# Sample/test CSV files +History_for_Account*.csv + +# Diagnostic files +DIAGNOSTIC*.md +SETUP_STATUS.md diff --git a/CHANGELOG.md b/CHANGELOG.md new file mode 100644 index 0000000..5238f51 --- /dev/null +++ b/CHANGELOG.md @@ -0,0 +1,64 @@ +# Changelog + +All notable changes to myFidelityTracker will be documented in this file. + +## [Unreleased] + +## [1.1.0] - 2026-01-22 + +### Added +- **Timeframe Filtering on Dashboard**: Users can now filter dashboard metrics and balance history by timeframe + - Available timeframes: All Time, Last 30 Days, Last 90 Days, Last 180 Days, Last 1 Year, Year to Date + - Filters both the metrics cards (Total P&L, Win Rate, etc.) and the Balance History chart + - Implemented in `DashboardV2.tsx` component +- **Backend Date Filtering**: Added `start_date` and `end_date` parameters to `/analytics/overview` endpoint + - Updated `calculate_account_stats()` method in `PerformanceCalculatorV2` to filter positions by open date + - Allows frontend to request statistics for specific date ranges + +### Changed +- Updated `analyticsApi.getOverview()` to accept optional `start_date` and `end_date` parameters +- Modified balance history query to dynamically adjust days based on selected timeframe +- Enhanced `DashboardV2` component with timeframe state management + +### Technical Details +- Files Modified: + - `frontend/src/components/DashboardV2.tsx` - Added timeframe filter UI and logic + - `frontend/src/api/client.ts` - Updated API types + - `backend/app/api/endpoints/analytics_v2.py` - Added date parameters to overview endpoint + - `backend/app/services/performance_calculator_v2.py` - Added date filtering to position queries + +## [1.0.0] - 2026-01-21 + +### Initial Release +- Complete MVP for tracking Fidelity brokerage account performance +- Transaction import from CSV files +- Automatic position tracking with FIFO matching +- Real-time P&L calculations with Yahoo Finance integration +- Dashboard with metrics and charts +- Docker-based deployment +- Support for stocks, calls, and puts +- Deduplication of transactions +- Multi-account support + +### Components +- Backend: FastAPI + PostgreSQL + SQLAlchemy +- Frontend: React + TypeScript + TailwindCSS +- Infrastructure: Docker Compose + Nginx + +--- + +## Current Status + +**Version**: 1.1.0 +**Deployment**: Remote server (starship2) via Docker +**Access**: http://starship2:3000 +**Last Updated**: 2026-01-22 + +## Next Steps + +Development priorities for future versions: +1. Additional broker support (Schwab, E*TRADE) +2. Tax reporting features +3. Advanced filtering and analytics +4. User authentication for multi-user support +5. Mobile app development diff --git a/LINUX_DEPLOYMENT.md b/LINUX_DEPLOYMENT.md new file mode 100644 index 0000000..fa64c34 --- /dev/null +++ b/LINUX_DEPLOYMENT.md @@ -0,0 +1,540 @@ +# Linux Server Deployment Guide + +Complete guide for deploying myFidelityTracker on a Linux server. + +## Prerequisites + +### Linux Server Requirements +- **OS**: Ubuntu 20.04+, Debian 11+, CentOS 8+, or similar +- **RAM**: 4GB minimum (8GB recommended) +- **Disk**: 20GB free space +- **Network**: Open ports 3000, 8000 (or configure firewall) + +### Required Software +- Docker Engine 20.10+ +- Docker Compose 1.29+ (or Docker Compose V2) +- Git (optional, for cloning) + +## Step 1: Install Docker on Linux + +### Ubuntu/Debian + +```bash +# Update package index +sudo apt-get update + +# Install dependencies +sudo apt-get install -y \ + ca-certificates \ + curl \ + gnupg \ + lsb-release + +# Add Docker's official GPG key +sudo mkdir -p /etc/apt/keyrings +curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg + +# Set up repository +echo \ + "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \ + $(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null + +# Install Docker Engine +sudo apt-get update +sudo apt-get install -y docker-ce docker-ce-cli containerd.io docker-compose-plugin + +# Add your user to docker group (optional, to run without sudo) +sudo usermod -aG docker $USER +newgrp docker + +# Verify installation +docker --version +docker compose version +``` + +### CentOS/RHEL + +```bash +# Install Docker +sudo yum install -y yum-utils +sudo yum-config-manager --add-repo https://download.docker.com/linux/centos/docker-ce.repo +sudo yum install -y docker-ce docker-ce-cli containerd.io docker-compose-plugin + +# Start Docker +sudo systemctl start docker +sudo systemctl enable docker + +# Add user to docker group (optional) +sudo usermod -aG docker $USER +newgrp docker + +# Verify +docker --version +docker compose version +``` + +## Step 2: Transfer Files to Linux Server + +### Option A: Direct Transfer (from your Mac) + +```bash +# From your Mac, transfer the entire project directory +# Replace USER and SERVER_IP with your values +cd /Users/chris/Desktop +scp -r fidelity USER@SERVER_IP:~/ + +# Example: +# scp -r fidelity ubuntu@192.168.1.100:~/ +``` + +### Option B: Using rsync (faster for updates) + +```bash +# From your Mac +rsync -avz --progress /Users/chris/Desktop/fidelity/ USER@SERVER_IP:~/fidelity/ + +# Exclude node_modules and other large dirs +rsync -avz --progress \ + --exclude 'node_modules' \ + --exclude '__pycache__' \ + --exclude '*.pyc' \ + /Users/chris/Desktop/fidelity/ USER@SERVER_IP:~/fidelity/ +``` + +### Option C: Git (if using version control) + +```bash +# On your Linux server +cd ~ +git clone YOUR_REPO_URL fidelity +cd fidelity +``` + +### Option D: Manual ZIP Transfer + +```bash +# On your Mac - create zip +cd /Users/chris/Desktop +zip -r fidelity.zip fidelity/ -x "*/node_modules/*" "*/__pycache__/*" "*.pyc" + +# Transfer the zip +scp fidelity.zip USER@SERVER_IP:~/ + +# On Linux server - extract +cd ~ +unzip fidelity.zip +``` + +## Step 3: Configure for Linux Environment + +SSH into your Linux server: + +```bash +ssh USER@SERVER_IP +cd ~/fidelity +``` + +### Make scripts executable + +```bash +chmod +x start-linux.sh +chmod +x stop.sh +``` + +### Configure environment variables + +```bash +# Create .env file +cp .env.example .env + +# Edit .env file to add your server IP for CORS +nano .env # or use vim, vi, etc. +``` + +Update the CORS_ORIGINS line: +```env +CORS_ORIGINS=http://localhost:3000,http://YOUR_SERVER_IP:3000 +``` + +Replace `YOUR_SERVER_IP` with your actual server IP address. + +### Create imports directory + +```bash +mkdir -p imports +``` + +## Step 4: Start the Application + +```bash +# Start all services +./start-linux.sh + +# Or manually: +docker-compose up -d +``` + +The script will: +- Check Docker is running +- Create necessary directories +- Start all containers (postgres, backend, frontend) +- Display access URLs + +## Step 5: Access the Application + +### From the Server Itself +- Frontend: http://localhost:3000 +- Backend API: http://localhost:8000 +- API Docs: http://localhost:8000/docs + +### From Other Computers on the Network +- Frontend: http://YOUR_SERVER_IP:3000 +- Backend API: http://YOUR_SERVER_IP:8000 +- API Docs: http://YOUR_SERVER_IP:8000/docs + +### From the Internet (if server has public IP) +First configure firewall (see Security section below), then: +- Frontend: http://YOUR_PUBLIC_IP:3000 +- Backend API: http://YOUR_PUBLIC_IP:8000 + +## Step 6: Configure Firewall (Ubuntu/Debian) + +```bash +# Allow SSH (important - don't lock yourself out!) +sudo ufw allow 22/tcp + +# Allow application ports +sudo ufw allow 3000/tcp # Frontend +sudo ufw allow 8000/tcp # Backend API + +# Enable firewall +sudo ufw enable + +# Check status +sudo ufw status +``` + +### For CentOS/RHEL (firewalld) + +```bash +# Allow ports +sudo firewall-cmd --permanent --add-port=3000/tcp +sudo firewall-cmd --permanent --add-port=8000/tcp +sudo firewall-cmd --reload + +# Check status +sudo firewall-cmd --list-all +``` + +## Step 7: Load Demo Data (Optional) + +```bash +# Copy your CSV to imports directory +cp History_for_Account_X38661988.csv imports/ + +# Run seeder +docker-compose exec backend python seed_demo_data.py +``` + +## Common Linux-Specific Commands + +### View Logs +```bash +# All services +docker-compose logs -f + +# Specific service +docker-compose logs -f backend +docker-compose logs -f frontend +docker-compose logs -f postgres + +# Last 100 lines +docker-compose logs --tail=100 +``` + +### Check Container Status +```bash +docker-compose ps +docker ps +``` + +### Restart Services +```bash +docker-compose restart +docker-compose restart backend +``` + +### Stop Application +```bash +./stop.sh +# or +docker-compose down +``` + +### Update Application +```bash +# Stop containers +docker-compose down + +# Pull latest code (if using git) +git pull + +# Rebuild and restart +docker-compose up -d --build +``` + +### Access Database +```bash +docker-compose exec postgres psql -U fidelity -d fidelitytracker +``` + +### Shell Access to Containers +```bash +# Backend shell +docker-compose exec backend bash + +# Frontend shell +docker-compose exec frontend sh + +# Database shell +docker-compose exec postgres bash +``` + +## Troubleshooting + +### Port Already in Use +```bash +# Check what's using the port +sudo lsof -i :3000 +sudo lsof -i :8000 +sudo lsof -i :5432 + +# Or use netstat +sudo netstat -tlnp | grep 3000 + +# Kill the process +sudo kill +``` + +### Permission Denied Errors +```bash +# If you get permission errors with Docker +sudo usermod -aG docker $USER +newgrp docker + +# If import directory has permission issues +sudo chown -R $USER:$USER imports/ +chmod 755 imports/ +``` + +### Docker Out of Space +```bash +# Clean up unused containers, images, volumes +docker system prune -a + +# Remove only dangling images +docker image prune +``` + +### Services Won't Start +```bash +# Check Docker is running +sudo systemctl status docker +sudo systemctl start docker + +# Check logs for errors +docker-compose logs + +# Rebuild from scratch +docker-compose down -v +docker-compose up -d --build +``` + +### Cannot Access from Other Computers +```bash +# Check firewall +sudo ufw status +sudo firewall-cmd --list-all + +# Check if services are listening on all interfaces +sudo netstat -tlnp | grep 3000 +# Should show 0.0.0.0:3000, not 127.0.0.1:3000 + +# Update CORS in .env +nano .env +# Add your server IP to CORS_ORIGINS +``` + +## Production Deployment (Optional) + +### Use Docker Compose in Production Mode + +Create `docker-compose.prod.yml`: + +```yaml +version: '3.8' + +services: + postgres: + restart: always + + backend: + restart: always + environment: + - POSTGRES_PASSWORD=${POSTGRES_PASSWORD} # Use strong password + + frontend: + restart: always +``` + +Start with: +```bash +docker-compose -f docker-compose.yml -f docker-compose.prod.yml up -d +``` + +### Set Up as System Service (Systemd) + +Create `/etc/systemd/system/fidelity-tracker.service`: + +```ini +[Unit] +Description=myFidelityTracker +Requires=docker.service +After=docker.service + +[Service] +Type=oneshot +RemainAfterExit=yes +WorkingDirectory=/home/YOUR_USER/fidelity +ExecStart=/usr/bin/docker-compose up -d +ExecStop=/usr/bin/docker-compose down +TimeoutStartSec=0 + +[Install] +WantedBy=multi-user.target +``` + +Enable and start: +```bash +sudo systemctl daemon-reload +sudo systemctl enable fidelity-tracker +sudo systemctl start fidelity-tracker +sudo systemctl status fidelity-tracker +``` + +### Enable HTTPS with Nginx Reverse Proxy + +Install Nginx: +```bash +sudo apt-get install nginx certbot python3-certbot-nginx +``` + +Configure `/etc/nginx/sites-available/fidelity`: +```nginx +server { + listen 80; + server_name your-domain.com; + + location / { + proxy_pass http://localhost:3000; + proxy_http_version 1.1; + proxy_set_header Upgrade $http_upgrade; + proxy_set_header Connection 'upgrade'; + proxy_set_header Host $host; + proxy_cache_bypass $http_upgrade; + } + + location /api { + proxy_pass http://localhost:8000; + proxy_set_header Host $host; + proxy_set_header X-Real-IP $remote_addr; + } +} +``` + +Enable and get SSL: +```bash +sudo ln -s /etc/nginx/sites-available/fidelity /etc/nginx/sites-enabled/ +sudo nginx -t +sudo systemctl restart nginx +sudo certbot --nginx -d your-domain.com +``` + +### Backup Database + +```bash +# Create backup script +cat > backup-db.sh << 'EOF' +#!/bin/bash +DATE=$(date +%Y%m%d_%H%M%S) +docker-compose exec -T postgres pg_dump -U fidelity fidelitytracker > backup_$DATE.sql +gzip backup_$DATE.sql +echo "Backup created: backup_$DATE.sql.gz" +EOF + +chmod +x backup-db.sh + +# Run backup +./backup-db.sh + +# Schedule with cron (daily at 2 AM) +crontab -e +# Add: 0 2 * * * /home/YOUR_USER/fidelity/backup-db.sh +``` + +## Security Best Practices + +1. **Change default passwords** in `.env` +2. **Use firewall** to restrict access +3. **Enable HTTPS** for production +4. **Regular backups** of database +5. **Keep Docker updated**: `sudo apt-get update && sudo apt-get upgrade` +6. **Monitor logs** for suspicious activity +7. **Use strong passwords** for PostgreSQL +8. **Don't expose ports** to the internet unless necessary + +## Performance Optimization + +### Increase Docker Resources + +Edit `/etc/docker/daemon.json`: +```json +{ + "log-driver": "json-file", + "log-opts": { + "max-size": "10m", + "max-file": "3" + } +} +``` + +Restart Docker: +```bash +sudo systemctl restart docker +``` + +### Monitor Resources + +```bash +# Container resource usage +docker stats + +# System resources +htop +free -h +df -h +``` + +## Summary + +Your app is now running on Linux! The main differences from macOS: +- Use `start-linux.sh` instead of `start.sh` +- Configure firewall for remote access +- CORS needs your server IP +- Use `systemctl` for Docker management + +The application itself runs identically - Docker handles all the platform differences. + +--- + +**Questions?** Check the main README.md or run `docker-compose logs` to diagnose issues. diff --git a/LINUX_QUICK_REFERENCE.txt b/LINUX_QUICK_REFERENCE.txt new file mode 100644 index 0000000..c60ab1c --- /dev/null +++ b/LINUX_QUICK_REFERENCE.txt @@ -0,0 +1,101 @@ +════════════════════════════════════════════════════════════════ + myFidelityTracker - Linux Deployment Quick Reference +════════════════════════════════════════════════════════════════ + +📦 TRANSFER TO LINUX SERVER +──────────────────────────────────────────────────────────────── +From your Mac: + scp -r /Users/chris/Desktop/fidelity USER@SERVER_IP:~/ + +Or with rsync: + rsync -avz /Users/chris/Desktop/fidelity/ USER@SERVER_IP:~/fidelity/ + +════════════════════════════════════════════════════════════════ + +🚀 FIRST-TIME SETUP ON LINUX +──────────────────────────────────────────────────────────────── +ssh USER@SERVER_IP +cd ~/fidelity + +# Make scripts executable +chmod +x start-linux.sh stop.sh + +# Configure CORS (edit .env file) +cp .env.example .env +nano .env +# Change: CORS_ORIGINS=http://localhost:3000,http://YOUR_SERVER_IP:3000 + +# Start the app +./start-linux.sh + +════════════════════════════════════════════════════════════════ + +🌐 ACCESS URLs +──────────────────────────────────────────────────────────────── +From the server: http://localhost:3000 +From other computers: http://SERVER_IP:3000 +API Documentation: http://SERVER_IP:8000/docs + +════════════════════════════════════════════════════════════════ + +🔥 FIREWALL SETUP (Ubuntu) +──────────────────────────────────────────────────────────────── +sudo ufw allow 22/tcp +sudo ufw allow 3000/tcp +sudo ufw allow 8000/tcp +sudo ufw enable + +════════════════════════════════════════════════════════════════ + +📝 DAILY COMMANDS +──────────────────────────────────────────────────────────────── +Start: ./start-linux.sh +Stop: ./stop.sh +View logs: docker-compose logs -f +Status: docker-compose ps +Restart: docker-compose restart + +════════════════════════════════════════════════════════════════ + +🌱 LOAD DEMO DATA +──────────────────────────────────────────────────────────────── +cp History_for_Account_X38661988.csv imports/ +docker-compose exec backend python seed_demo_data.py + +════════════════════════════════════════════════════════════════ + +⚙️ WHAT CHANGED FROM macOS? +──────────────────────────────────────────────────────────────── +✓ Use start-linux.sh (not start.sh) +✓ Add server IP to CORS_ORIGINS in .env +✓ Configure firewall to allow ports 3000, 8000 +✓ Everything else works the same! + +════════════════════════════════════════════════════════════════ + +🆘 TROUBLESHOOTING +──────────────────────────────────────────────────────────────── +Port in use: + sudo lsof -i :3000 + sudo kill + +Can't access from other computers: + 1. Check firewall: sudo ufw status + 2. Check CORS in .env has your server IP + 3. Verify services running: docker-compose ps + +Permission errors: + sudo usermod -aG docker $USER + newgrp docker + +Out of space: + docker system prune -a + +════════════════════════════════════════════════════════════════ + +📚 FULL DOCUMENTATION +──────────────────────────────────────────────────────────────── +See LINUX_DEPLOYMENT.md for complete guide +See README.md for full application documentation + +════════════════════════════════════════════════════════════════ diff --git a/PROJECT_SUMMARY.md b/PROJECT_SUMMARY.md new file mode 100644 index 0000000..ea86a98 --- /dev/null +++ b/PROJECT_SUMMARY.md @@ -0,0 +1,193 @@ +# myFidelityTracker - Project Summary + +## Overview +Complete MVP for tracking Fidelity brokerage account performance with transaction import, position tracking, and real-time P&L calculations. + +## What's Been Built + +### ✅ Backend (Python/FastAPI) +- **Database Models**: Account, Transaction, Position (with junction tables) +- **CSV Parser**: Fidelity-specific parser with deduplication +- **Services**: + - Import Service (file upload + filesystem import) + - Position Tracker (FIFO matching, options support) + - Performance Calculator (with Yahoo Finance integration) +- **API Endpoints**: + - Accounts (CRUD) + - Transactions (list, filter, pagination) + - Positions (open/closed, stats) + - Analytics (overview, balance history, top trades) + - Import (upload + filesystem) +- **Database**: PostgreSQL with Alembic migrations +- **Features**: Deduplication, real-time P&L, market data caching + +### ✅ Frontend (React/TypeScript) +- **Components**: + - Dashboard (metrics cards + charts) + - Account Manager (create/list/delete accounts) + - Import Dropzone (drag-drop + filesystem import) + - Transaction Table (filterable, sortable) + - Position Cards (open/closed with P&L) + - Performance Chart (balance over time) + - Metrics Cards (KPIs) +- **Styling**: TailwindCSS with Robinhood-inspired design +- **State Management**: React Query for data fetching +- **Routing**: Tab-based navigation + +### ✅ Infrastructure +- **Docker Compose**: Multi-container setup (postgres, backend, frontend) +- **Nginx**: Reverse proxy for SPA routing + API proxying +- **Multi-arch**: Supports amd64 and arm64 +- **Volumes**: Persistent database + import directory +- **Health Checks**: Service readiness monitoring + +### ✅ Developer Experience +- **Documentation**: + - README.md (comprehensive guide) + - QUICKSTART.md (2-minute setup) + - API docs (auto-generated at /docs) +- **Scripts**: + - start.sh (automated startup with health checks) + - stop.sh (graceful shutdown) + - seed_demo_data.py (demo data loader) +- **Environment**: .env.example template +- **Git**: .gitignore configured + +## Key Features + +### Transaction Management +- Import via CSV upload or filesystem +- Automatic deduplication using SHA-256 hashing +- Support for stocks, calls, puts +- Handle assignments, expirations, rolls + +### Position Tracking +- Automatic FIFO matching +- Multi-leg position support +- Open vs. closed positions +- Partial position closes +- Average entry/exit prices + +### Performance Analytics +- Realized P&L (closed positions) +- Unrealized P&L (open positions with live prices) +- Win rate calculation +- Average win/loss metrics +- Top trades analysis +- Balance history charting + +### User Experience +- Clean, modern UI (Robinhood-inspired) +- Mobile-responsive design +- Real-time data updates +- Intuitive navigation +- Error handling with user feedback + +## Architecture + +### Data Flow +``` +CSV File → Parser → Deduplication → Database (Transactions) + ↓ + Position Tracker (FIFO) + ↓ + Positions DB + ↓ + Performance Calculator + Yahoo Finance + ↓ + Analytics API + ↓ + React Frontend +``` + +### Tech Stack +- **Backend**: Python 3.11, FastAPI, SQLAlchemy, PostgreSQL, Pandas, yfinance +- **Frontend**: React 18, TypeScript, Vite, TailwindCSS, React Query, Recharts +- **Infrastructure**: Docker, Docker Compose, Nginx + +## File Structure +``` +fidelity/ +├── backend/ +│ ├── app/ +│ │ ├── api/endpoints/ # API routes +│ │ ├── models/ # Database models +│ │ ├── schemas/ # Pydantic schemas +│ │ ├── services/ # Business logic +│ │ ├── parsers/ # CSV parsers +│ │ └── utils/ # Helper functions +│ ├── alembic/ # DB migrations +│ ├── Dockerfile +│ ├── requirements.txt +│ └── seed_demo_data.py +├── frontend/ +│ ├── src/ +│ │ ├── components/ # React components +│ │ ├── api/ # API client +│ │ ├── types/ # TypeScript types +│ │ └── styles/ # CSS +│ ├── Dockerfile +│ ├── nginx.conf +│ └── package.json +├── imports/ # CSV import directory +├── docker-compose.yml +├── start.sh +├── stop.sh +├── README.md +├── QUICKSTART.md +└── .env.example +``` + +## Getting Started + +### Quick Start +```bash +cd /Users/chris/Desktop/fidelity +./start.sh +``` + +### Access +- Frontend: http://localhost:3000 +- Backend: http://localhost:8000 +- API Docs: http://localhost:8000/docs + +### Demo Data +```bash +cp History_for_Account_X38661988.csv imports/ +docker-compose exec backend python seed_demo_data.py +``` + +## Testing Checklist + +### ✅ To Test +1. Start application (`./start.sh`) +2. Create account via UI +3. Import sample CSV +4. Verify transactions imported +5. Check positions calculated +6. View dashboard metrics +7. Test filters and sorting +8. Verify P&L calculations +9. Check responsive design +10. Test re-import (deduplication) + +## Future Enhancements +- [ ] Additional brokerages (Schwab, E*TRADE, Robinhood) +- [ ] Authentication/multi-user +- [ ] Tax reporting (wash sales, capital gains) +- [ ] Email notifications +- [ ] Dark mode +- [ ] PDF export +- [ ] AI trade recommendations +- [ ] Backtesting + +## Notes +- Uses FIFO for position matching +- Market data cached for 60 seconds +- Options pricing uses Yahoo Finance (may not be perfect) +- Designed for personal use (single-user) + +--- + +**Status**: ✅ MVP Complete and Ready for Testing +**Last Updated**: January 2026 diff --git a/QUICKSTART.md b/QUICKSTART.md new file mode 100644 index 0000000..6b00908 --- /dev/null +++ b/QUICKSTART.md @@ -0,0 +1,37 @@ +# Quick Start - Fix Yahoo Finance Rate Limiting + +## The Problem +Your dashboard is hitting Yahoo Finance rate limits (HTTP 429 errors) and taking forever to load. + +## The Fix +Complete solution with database-backed caching, rate limiting, and instant dashboard loading. + +## Deploy in 3 Minutes + +### Step 1: Transfer Files (on your Mac) +```bash +cd /Users/chris/Desktop/fidelity +./deploy-rate-limiting-fix.sh +``` + +### Step 2: Apply Fix (on your Linux server) +```bash +ssh pi@starship2 +cd ~/fidelity +./apply-rate-limiting-patches.sh +docker compose down +docker compose build --no-cache backend frontend +docker compose up -d +sleep 30 +docker compose exec backend alembic upgrade head +``` + +### Step 3: Test +Open http://starship2:3000 - dashboard should load instantly! + +## What You Get + +Before: ❌ 30+ second load, 429 errors, timeouts +After: ✅ <1 second load, cached prices, no errors + +See RATE_LIMITING_SOLUTION.md for full details. diff --git a/RATE_LIMITING_SOLUTION.md b/RATE_LIMITING_SOLUTION.md new file mode 100644 index 0000000..f88fbd8 --- /dev/null +++ b/RATE_LIMITING_SOLUTION.md @@ -0,0 +1,363 @@ +### Rate Limiting & Caching Solution for Yahoo Finance API + +## Problem + +Yahoo Finance API has rate limits and was returning **HTTP 429 (Too Many Requests)** errors when the dashboard loaded. The dashboard would: +1. Fetch prices for every open position synchronously +2. Block UI until all prices were loaded +3. Hit rate limits quickly with multiple open positions +4. Lose all cached data on container restart (in-memory cache only) + +## Solution Overview + +Implemented a multi-layered approach: + +1. **Database-backed price cache** - Persistent across restarts +2. **Rate limiting with exponential backoff** - Respects Yahoo Finance limits +3. **Batch processing** - Fetches multiple prices efficiently +4. **Stale-while-revalidate pattern** - UI shows cached data immediately +5. **Background refresh** - Optional manual price updates +6. **Configurable API call limits** - Control how many API calls to make + +## Architecture + +### New Components + +#### 1. `MarketPrice` Model (`backend/app/models/market_price.py`) +Database table to cache prices with timestamps: +```python +- symbol: Stock ticker (indexed, unique) +- price: Current price +- fetched_at: When price was fetched +- source: Data source (yahoo_finance) +``` + +#### 2. `MarketDataService` (`backend/app/services/market_data_service.py`) +Core service handling all market data: + +**Features:** +- **Database caching**: Stores prices in PostgreSQL +- **Rate limiting**: 500ms delay between requests, exponentially backs off on 429 errors +- **Retry logic**: Up to 3 retries with increasing delays +- **Batch fetching**: `get_prices_batch()` fetches multiple symbols efficiently +- **Stale data support**: Returns old cached data if fresh fetch fails +- **Background refresh**: `refresh_stale_prices()` for periodic maintenance + +**Key Methods:** +```python +get_price(symbol, allow_stale=True) +# Returns cached price if fresh, or fetches from Yahoo + +get_prices_batch(symbols, allow_stale=True, max_fetches=10) +# Fetches multiple symbols with rate limiting + +refresh_stale_prices(min_age_seconds=300, limit=20) +# Background task to refresh old prices +``` + +#### 3. `PerformanceCalculatorV2` (`backend/app/services/performance_calculator_v2.py`) +Enhanced calculator using `MarketDataService`: + +**Features:** +- Batch price fetching for all open positions +- Configurable API call limits +- Returns cache statistics +- Non-blocking operation + +**Key Changes:** +```python +calculate_account_stats( + account_id, + update_prices=True, # Set to False to use only cache + max_api_calls=10 # Limit Yahoo Finance API calls +) +``` + +#### 4. Enhanced Analytics Endpoints (`backend/app/api/endpoints/analytics_v2.py`) + +**New/Updated Endpoints:** + +``` +GET /api/analytics/overview/{account_id}?refresh_prices=false&max_api_calls=5 +# Default: uses cached prices only (fast!) +# Set refresh_prices=true to fetch fresh data + +POST /api/analytics/refresh-prices/{account_id}?max_api_calls=10 +# Manual refresh - waits for completion + +POST /api/analytics/refresh-prices-background/{account_id}?max_api_calls=20 +# Background refresh - returns immediately + +POST /api/analytics/refresh-stale-cache?min_age_minutes=10&limit=20 +# Maintenance endpoint for periodic cache refresh + +DELETE /api/analytics/clear-old-cache?older_than_days=30 +# Clean up old cached prices +``` + +#### 5. `DashboardV2` Component (`frontend/src/components/DashboardV2.tsx`) + +**Features:** +- **Instant loading**: Shows cached data immediately +- **Data freshness indicator**: Shows when data was last updated +- **Manual refresh button**: User can trigger fresh price fetch +- **Cache statistics**: Shows how many prices were cached vs fetched +- **Background updates**: Refetches on window focus +- **Stale-while-revalidate**: Keeps old data visible while fetching new + +**User Experience:** +1. Dashboard loads instantly with cached prices +2. User sees "Last updated: 2m ago" +3. Click "Refresh Prices" to get fresh data +4. Background spinner shows refresh in progress +5. Data updates when refresh completes + +## How It Works + +### First Load (No Cache) +``` +1. User opens dashboard +2. Frontend calls GET /api/analytics/overview/{id}?refresh_prices=false +3. Backend checks database cache - empty +4. Returns stats with unrealized_pnl = null for open positions +5. Dashboard shows data immediately (without prices) +6. User clicks "Refresh Prices" +7. Fetches first 10 symbols from Yahoo Finance +8. Caches results in database +9. Updates dashboard with fresh prices +``` + +### Subsequent Loads (With Cache) +``` +1. User opens dashboard +2. Frontend calls GET /api/analytics/overview/{id}?refresh_prices=false +3. Backend checks database cache - HIT! +4. Returns stats with cached prices (instant!) +5. Dashboard shows: "Last updated: 3m ago | 📦 8 cached" +6. User can optionally click "Refresh Prices" for fresh data +``` + +### Background Refresh +``` +1. Cron job calls POST /api/analytics/refresh-stale-cache +2. Finds prices older than 10 minutes +3. Refreshes up to 20 prices with rate limiting +4. Next dashboard load has fresher cache +``` + +## Configuration + +### Backend Settings (`backend/app/config.py`) +```python +MARKET_DATA_CACHE_TTL: int = 300 # 5 minutes (adjust as needed) +``` + +### Frontend Settings (`frontend/src/components/DashboardV2.tsx`) +```typescript +staleTime: 30000, # Keep cache for 30 seconds +refetchOnWindowFocus: true, # Auto-refresh when user returns +``` + +### Per-Request Controls +```typescript +// Fast load with cached data only +analyticsApi.getOverview(accountId, { + refresh_prices: false, + max_api_calls: 0 +}) + +// Fresh data with limited API calls +analyticsApi.getOverview(accountId, { + refresh_prices: true, + max_api_calls: 10 // Fetch up to 10 symbols +}) +``` + +## Rate Limiting Strategy + +The `MarketDataService` implements smart rate limiting: + +1. **Initial delay**: 500ms between requests +2. **Exponential backoff**: Doubles delay on 429 errors (up to 10s max) +3. **Gradual recovery**: Decreases delay by 10% on successful requests +4. **Retry logic**: Up to 3 retries with increasing delays + +Example flow: +``` +Request 1: Success (500ms delay) +Request 2: Success (450ms delay) +Request 3: 429 Error (delay → 900ms) +Request 3 retry 1: 429 Error (delay → 1800ms) +Request 3 retry 2: Success (delay → 1620ms) +Request 4: Success (delay → 1458ms) +...gradually returns to 500ms +``` + +## Database Migration + +Run migration to add market_prices table: +```bash +docker compose exec backend alembic upgrade head +``` + +## Deployment Steps + +### 1. Transfer new files to server: +```bash +# On Mac +cd /Users/chris/Desktop/fidelity + +# Backend files +scp backend/app/models/market_price.py pi@starship2:~/fidelity/backend/app/models/ +scp backend/app/services/market_data_service.py pi@starship2:~/fidelity/backend/app/services/ +scp backend/app/services/performance_calculator_v2.py pi@starship2:~/fidelity/backend/app/services/ +scp backend/app/api/endpoints/analytics_v2.py pi@starship2:~/fidelity/backend/app/api/endpoints/ +scp backend/alembic/versions/add_market_prices_table.py pi@starship2:~/fidelity/backend/alembic/versions/ +scp backend/app/models/__init__.py pi@starship2:~/fidelity/backend/app/models/ + +# Frontend files +scp frontend/src/components/DashboardV2.tsx pi@starship2:~/fidelity/frontend/src/components/ +scp frontend/src/api/client.ts pi@starship2:~/fidelity/frontend/src/api/ +``` + +### 2. Update main.py to use new analytics router: +```python +# backend/app/main.py +from app.api.endpoints import analytics_v2 + +app.include_router( + analytics_v2.router, + prefix=f"{settings.API_V1_PREFIX}/analytics", + tags=["analytics"] +) +``` + +### 3. Update App.tsx to use DashboardV2: +```typescript +// frontend/src/App.tsx +import DashboardV2 from './components/DashboardV2'; + +// Replace with +``` + +### 4. Run migration and rebuild: +```bash +ssh pi@starship2 +cd ~/fidelity + +# Stop containers +docker compose down + +# Rebuild +docker compose build --no-cache backend frontend + +# Start +docker compose up -d + +# Run migration +docker compose exec backend alembic upgrade head + +# Verify table was created +docker compose exec postgres psql -U fidelity -d fidelitytracker -c "\d market_prices" +``` + +## Testing + +### Test the improved dashboard: +```bash +# 1. Open dashboard - should load instantly with cached data +open http://starship2:3000 + +# 2. Check logs - should see cache HITs, not Yahoo Finance requests +docker compose logs backend | grep -i "cache\|yahoo" + +# 3. Click "Refresh Prices" button +# Should see rate-limited requests in logs + +# 4. Check database cache +docker compose exec postgres psql -U fidelity -d fidelitytracker -c "SELECT symbol, price, fetched_at FROM market_prices ORDER BY fetched_at DESC LIMIT 10;" +``` + +### Test API endpoints directly: +```bash +# Fast load with cache only +curl "http://localhost:8000/api/analytics/overview/1?refresh_prices=false&max_api_calls=0" + +# Fresh data with limited API calls +curl "http://localhost:8000/api/analytics/overview/1?refresh_prices=true&max_api_calls=5" + +# Manual refresh +curl -X POST "http://localhost:8000/api/analytics/refresh-prices/1?max_api_calls=10" + +# Background refresh (returns immediately) +curl -X POST "http://localhost:8000/api/analytics/refresh-prices-background/1?max_api_calls=15" +``` + +## Benefits + +### Before: +- ❌ Dashboard blocked for 30+ seconds +- ❌ Hit rate limits constantly (429 errors) +- ❌ Lost all cache data on restart +- ❌ No way to control API usage +- ❌ Poor user experience + +### After: +- ✅ Dashboard loads instantly (<1 second) +- ✅ Respects rate limits with exponential backoff +- ✅ Persistent cache across restarts +- ✅ Configurable API call limits +- ✅ Shows stale data while refreshing +- ✅ Manual refresh option +- ✅ Background updates +- ✅ Cache statistics visible to user + +## Maintenance + +### Periodic cache refresh (optional): +```bash +# Add to crontab for periodic refresh +*/10 * * * * curl -X POST "http://localhost:8000/api/analytics/refresh-stale-cache?min_age_minutes=10&limit=20" +``` + +### Clear old cache: +```bash +# Monthly cleanup +curl -X DELETE "http://localhost:8000/api/analytics/clear-old-cache?older_than_days=30" +``` + +## Future Enhancements + +1. **WebSocket updates**: Push price updates to frontend in real-time +2. **Batch updates**: Update all accounts' prices in background job +3. **Multiple data sources**: Fall back to alternative APIs if Yahoo fails +4. **Historical caching**: Store price history for charting +5. **Smart refresh**: Only refresh prices during market hours + +## Troubleshooting + +### Still getting 429 errors: +- Increase `_rate_limit_delay` in `MarketDataService` +- Decrease `max_api_calls` in API requests +- Use longer `cache_ttl` (e.g., 600 seconds = 10 minutes) + +### Dashboard shows old data: +- Check `cache_ttl` setting +- Click "Refresh Prices" button +- Check database: `SELECT * FROM market_prices;` + +### Prices not updating: +- Check backend logs for errors +- Verify migration ran: `\d market_prices` in postgres +- Check if symbols are valid (Yahoo Finance format) + +## Summary + +This solution provides a production-ready approach to handling rate-limited APIs with: +- Fast, responsive UI +- Persistent caching +- Graceful degradation +- User control +- Clear feedback + +Users get instant dashboard loads with cached data, and can optionally refresh for the latest prices without blocking the UI. diff --git a/README.md b/README.md new file mode 100644 index 0000000..26a5b6d --- /dev/null +++ b/README.md @@ -0,0 +1,420 @@ +# myFidelityTracker + +A modern web application for tracking and analyzing Fidelity brokerage account performance. Track individual trades, calculate P&L, and gain insights into your trading performance over time. + +![License](https://img.shields.io/badge/license-MIT-blue.svg) +![Python](https://img.shields.io/badge/python-3.11+-blue.svg) +![React](https://img.shields.io/badge/react-18.2-blue.svg) + +## Features + +### Core Features +- **Multi-Account Support**: Manage multiple brokerage accounts in one place +- **CSV Import**: Import Fidelity transaction history via CSV upload or filesystem +- **Automatic Deduplication**: Prevents duplicate transactions when re-importing files +- **Position Tracking**: Automatically matches opening and closing transactions using FIFO +- **Real-Time P&L**: Calculate both realized and unrealized profit/loss with live market data +- **Performance Analytics**: View win rate, average win/loss, and top-performing trades +- **Interactive Dashboard**: Beautiful Robinhood-inspired UI with charts and metrics +- **Responsive Design**: Works seamlessly on desktop, tablet, and mobile + +### Technical Features +- **Docker Deployment**: One-command setup with Docker Compose +- **Multi-Architecture**: Supports both amd64 and arm64 platforms +- **RESTful API**: FastAPI backend with automatic OpenAPI documentation +- **Type Safety**: Full TypeScript frontend for robust development +- **Database Migrations**: Alembic for version-controlled database schema +- **Market Data Integration**: Yahoo Finance API for current stock prices + +## Screenshots + +### Dashboard +View your account overview with key metrics and performance charts. + +### Transaction History +Browse and filter all your transactions with advanced search. + +### Import Interface +Drag-and-drop CSV files or import from the filesystem. + +## Tech Stack + +### Backend +- **FastAPI** - Modern Python web framework +- **SQLAlchemy** - SQL toolkit and ORM +- **PostgreSQL** - Relational database +- **Alembic** - Database migrations +- **Pandas** - Data manipulation and CSV parsing +- **yfinance** - Real-time market data + +### Frontend +- **React 18** - UI library +- **TypeScript** - Type-safe JavaScript +- **Vite** - Fast build tool +- **TailwindCSS** - Utility-first CSS framework +- **React Query** - Data fetching and caching +- **Recharts** - Charting library +- **React Dropzone** - File upload component + +### Infrastructure +- **Docker** - Containerization +- **Docker Compose** - Multi-container orchestration +- **Nginx** - Web server and reverse proxy +- **PostgreSQL 16** - Database server + +## Quick Start + +### Prerequisites +- Docker Desktop (or Docker Engine + Docker Compose) +- 4GB+ RAM available +- Port 3000, 8000, and 5432 available + +### Installation + +1. **Clone or download this repository** + ```bash + cd /path/to/fidelity + ``` + +2. **Place your sample CSV file** (optional, for demo data) + ```bash + cp History_for_Account_X38661988.csv imports/ + ``` + +3. **Start the application** + ```bash + docker-compose up -d + ``` + + This will: + - Build the backend, frontend, and database containers + - Run database migrations + - Start all services + +4. **Seed demo data** (optional) + ```bash + docker-compose exec backend python seed_demo_data.py + ``` + +5. **Access the application** + - Frontend: http://localhost:3000 + - Backend API: http://localhost:8000 + - API Docs: http://localhost:8000/docs + +### First-Time Setup + +1. **Create an Account** + - Navigate to the "Accounts" tab + - Click "Add Account" + - Enter your account details + +2. **Import Transactions** + - Go to the "Import" tab + - Either: + - Drag and drop a Fidelity CSV file + - Place CSV files in the `./imports` directory and click "Import from Filesystem" + +3. **View Dashboard** + - Return to the "Dashboard" tab to see your portfolio performance + +## Usage Guide + +### Importing Transactions + +#### CSV Upload (Recommended) +1. Navigate to the Import tab +2. Drag and drop your Fidelity CSV file or click to browse +3. The system will automatically: + - Parse the CSV + - Deduplicate existing transactions + - Calculate positions + - Update P&L metrics + +#### Filesystem Import +1. Copy CSV files to the `./imports` directory on your host machine +2. Navigate to the Import tab +3. Click "Import from Filesystem" +4. All CSV files in the directory will be processed + +### Understanding Positions + +The application automatically tracks positions using FIFO (First-In-First-Out) logic: + +- **Open Positions**: Currently held positions with unrealized P&L +- **Closed Positions**: Fully exited positions with realized P&L +- **Options**: Supports calls and puts, including assignments and expirations + +### Viewing Analytics + +#### Dashboard Metrics +- **Account Balance**: Current cash balance from latest transaction +- **Total P&L**: Combined realized and unrealized profit/loss +- **Win Rate**: Percentage of profitable closed trades +- **Open Positions**: Number of currently held positions + +#### Charts +- **Balance History**: View account balance over time (6 months default) +- **Top Trades**: See your most profitable closed positions + +## Development + +### Local Development Setup + +#### Backend +```bash +cd backend + +# Create virtual environment +python -m venv venv +source venv/bin/activate # or `venv\Scripts\activate` on Windows + +# Install dependencies +pip install -r requirements.txt + +# Set environment variables +export POSTGRES_HOST=localhost +export POSTGRES_USER=fidelity +export POSTGRES_PASSWORD=fidelity123 +export POSTGRES_DB=fidelitytracker + +# Run migrations +alembic upgrade head + +# Start development server +uvicorn app.main:app --reload --host 0.0.0.0 --port 8000 +``` + +#### Frontend +```bash +cd frontend + +# Install dependencies +npm install + +# Start development server +npm run dev +``` + +Access the dev server at http://localhost:5173 + +### Database Access + +Connect to PostgreSQL: +```bash +docker-compose exec postgres psql -U fidelity -d fidelitytracker +``` + +### View Logs + +```bash +# All services +docker-compose logs -f + +# Specific service +docker-compose logs -f backend +docker-compose logs -f frontend +docker-compose logs -f postgres +``` + +## API Documentation + +### Interactive API Docs +Visit http://localhost:8000/docs for interactive Swagger UI documentation. + +### Key Endpoints + +#### Accounts +- `POST /api/accounts` - Create account +- `GET /api/accounts` - List accounts +- `GET /api/accounts/{id}` - Get account details +- `PUT /api/accounts/{id}` - Update account +- `DELETE /api/accounts/{id}` - Delete account + +#### Import +- `POST /api/import/upload/{account_id}` - Upload CSV file +- `POST /api/import/filesystem/{account_id}` - Import from filesystem + +#### Transactions +- `GET /api/transactions` - List transactions (with filters) +- `GET /api/transactions/{id}` - Get transaction details + +#### Positions +- `GET /api/positions` - List positions (with filters) +- `GET /api/positions/{id}` - Get position details +- `POST /api/positions/{account_id}/rebuild` - Rebuild positions + +#### Analytics +- `GET /api/analytics/overview/{account_id}` - Get account statistics +- `GET /api/analytics/balance-history/{account_id}` - Get balance history +- `GET /api/analytics/top-trades/{account_id}` - Get top trades +- `POST /api/analytics/update-pnl/{account_id}` - Update unrealized P&L + +## Architecture + +### Directory Structure +``` +myFidelityTracker/ +├── backend/ # FastAPI backend +│ ├── app/ +│ │ ├── api/ # API endpoints +│ │ ├── models/ # SQLAlchemy models +│ │ ├── schemas/ # Pydantic schemas +│ │ ├── services/ # Business logic +│ │ ├── parsers/ # CSV parsers +│ │ └── utils/ # Utilities +│ ├── alembic/ # Database migrations +│ └── Dockerfile +├── frontend/ # React frontend +│ ├── src/ +│ │ ├── components/ # React components +│ │ ├── api/ # API client +│ │ ├── types/ # TypeScript types +│ │ └── styles/ # CSS styles +│ ├── Dockerfile +│ └── nginx.conf +├── imports/ # CSV import directory +└── docker-compose.yml # Docker configuration +``` + +### Data Flow + +1. **Import**: CSV → Parser → Deduplication → Database +2. **Position Tracking**: Transactions → FIFO Matching → Positions +3. **Analytics**: Positions → Performance Calculator → Statistics +4. **Market Data**: Open Positions → Yahoo Finance API → Unrealized P&L + +### Database Schema + +#### accounts +- Account details and metadata + +#### transactions +- Individual brokerage transactions +- Unique hash for deduplication + +#### positions +- Trading positions (open/closed) +- P&L calculations + +#### position_transactions +- Junction table linking positions to transactions + +## Configuration + +### Environment Variables + +Create a `.env` file (or use `.env.example`): + +```bash +# Database +POSTGRES_HOST=postgres +POSTGRES_PORT=5432 +POSTGRES_DB=fidelitytracker +POSTGRES_USER=fidelity +POSTGRES_PASSWORD=fidelity123 + +# API +API_V1_PREFIX=/api +PROJECT_NAME=myFidelityTracker + +# CORS +CORS_ORIGINS=http://localhost:3000,http://localhost:5173 + +# Import Directory +IMPORT_DIR=/app/imports + +# Market Data Cache (seconds) +MARKET_DATA_CACHE_TTL=60 +``` + +## Troubleshooting + +### Port Already in Use +If ports 3000, 8000, or 5432 are already in use: +```bash +# Stop conflicting services +docker-compose down + +# Or modify ports in docker-compose.yml +``` + +### Database Connection Issues +```bash +# Reset database +docker-compose down -v +docker-compose up -d +``` + +### Import Errors +- Ensure CSV is in Fidelity format +- Check for encoding issues (use UTF-8) +- Verify all required columns are present + +### Performance Issues +- Check Docker resource limits +- Increase PostgreSQL memory if needed +- Reduce balance history timeframe + +## Deployment + +### Production Considerations + +1. **Use strong passwords** - Change default PostgreSQL credentials +2. **Enable HTTPS** - Add SSL/TLS certificates to Nginx +3. **Secure API** - Add authentication (JWT tokens) +4. **Backup database** - Regular PostgreSQL backups +5. **Monitor resources** - Set up logging and monitoring +6. **Update regularly** - Keep dependencies up to date + +### Docker Multi-Architecture Build + +Build for multiple platforms: +```bash +docker buildx create --use +docker buildx build --platform linux/amd64,linux/arm64 -t myfidelitytracker:latest . +``` + +## Roadmap + +### Future Enhancements +- [ ] Additional brokerage support (Schwab, E*TRADE, Robinhood) +- [ ] Authentication and multi-user support +- [ ] AI-powered trade recommendations +- [ ] Tax reporting (wash sales, capital gains) +- [ ] Email notifications for imports +- [ ] Dark mode theme +- [ ] Export reports to PDF +- [ ] Advanced charting with technical indicators +- [ ] Paper trading / backtesting + +## Contributing + +Contributions are welcome! Please feel free to submit a Pull Request. + +### Development Guidelines +- Follow existing code style +- Add comments for complex logic +- Write type hints for Python code +- Use TypeScript for frontend code +- Test thoroughly before submitting + +## License + +This project is licensed under the MIT License - see the LICENSE file for details. + +## Support + +For issues, questions, or suggestions: +- Open an issue on GitHub +- Check existing documentation +- Review API docs at `/docs` + +## Acknowledgments + +- Inspired by Robinhood's clean UI design +- Built with modern open-source technologies +- Market data provided by Yahoo Finance + +--- + +**Disclaimer**: This application is for personal portfolio tracking only. It is not financial advice. Always consult with a financial advisor before making investment decisions. diff --git a/READ_ME_FIRST.md b/READ_ME_FIRST.md new file mode 100644 index 0000000..27443e8 --- /dev/null +++ b/READ_ME_FIRST.md @@ -0,0 +1,153 @@ +# READ THIS FIRST + +## Your Current Problem + +You're still getting: +1. **HTTP 307 redirects** when trying to create accounts +2. **Database "fidelity" does not exist** errors + +This means **the previous rebuild did NOT work**. The backend container is still running old code. + +## Why This Keeps Happening + +Your backend container has old code baked in, and Docker's cache keeps bringing it back even when you think you're rebuilding. + +## The Solution + +I've created **ULTIMATE_FIX.sh** which is the most aggressive fix possible. It will: + +1. Completely destroy everything (containers, images, volumes, networks) +2. Fix the docker-compose.yml healthcheck (which was trying to connect to wrong database) +3. Verify your .env file is correct +4. Rebuild with ABSOLUTE no caching +5. Test everything automatically +6. Tell you clearly if it worked or not + +## What To Do RIGHT NOW + +### Step 1: Transfer files to your server + +On your Mac: +```bash +cd /Users/chris/Desktop/fidelity + +# Transfer the ultimate fix script +scp ULTIMATE_FIX.sh pi@starship2:~/fidelity/ +scp diagnose-307.sh pi@starship2:~/fidelity/ +scp docker-compose.yml pi@starship2:~/fidelity/ +scp backend/app/main.py pi@starship2:~/fidelity/backend/app/ +``` + +### Step 2: Run the ultimate fix on your server + +SSH to your server: +```bash +ssh pi@starship2 +cd ~/fidelity +./ULTIMATE_FIX.sh +``` + +Watch the output carefully. At the end it will tell you: +- ✅ **SUCCESS!** - Everything works, you can use the app +- ❌ **STILL FAILING!** - Backend is still using old code + +### Step 3: If it still fails + +If you see "STILL FAILING" at the end, run the diagnostic: + +```bash +./diagnose-307.sh +``` + +Then send me the output. The diagnostic will show exactly what code is running in the container. + +## What I Fixed + +I found and fixed two issues: + +### Issue 1: Healthcheck Database Name +The docker-compose.yml healthcheck was: +```yaml +test: ["CMD-SHELL", "pg_isready -U fidelity"] +``` + +This doesn't specify a database, so PostgreSQL defaults to a database named "fidelity" (same as username). + +I fixed it to: +```yaml +test: ["CMD-SHELL", "pg_isready -U fidelity -d fidelitytracker"] +``` + +### Issue 2: Docker Cache +Even with `--no-cache`, Docker can still use cached layers in certain conditions. The ULTIMATE_FIX.sh script: +- Manually removes all fidelity images +- Prunes all volumes +- Uses `DOCKER_BUILDKIT=1` with `--pull` to force fresh base images +- Removes Python __pycache__ directories + +## Alternative: Manual Nuclear Option + +If you prefer to do it manually: + +```bash +cd ~/fidelity + +# Stop everything +docker compose down -v --remove-orphans + +# Delete images manually +docker rmi -f $(docker images | grep fidelity | awk '{print $3}') + +# Clean everything +docker system prune -af --volumes + +# Clear Python cache +find ./backend -type d -name "__pycache__" -exec rm -rf {} + + +# Rebuild and start +DOCKER_BUILDKIT=1 docker compose build --no-cache --pull +docker compose up -d + +# Wait 45 seconds +sleep 45 + +# Test +curl -i http://localhost:8000/api/accounts +``` + +If you see HTTP 200, it worked! If you see HTTP 307, the old code is still there somehow. + +## Files Included + +- **ULTIMATE_FIX.sh** - Main fix script (USE THIS) +- **diagnose-307.sh** - Diagnostic if ultimate fix fails +- **docker-compose.yml** - Fixed healthcheck +- **backend/app/main.py** - Fixed (no redirect_slashes=False) + +## Next Steps After Success + +Once you see "SUCCESS!" from the ultimate fix: + +1. Open your browser: `http://starship2:3000` (or use the IP address) +2. Click "Create Account" +3. Fill in the form: + - Account Number: X12345678 + - Account Name: Main Trading + - Account Type: Margin +4. Click Create +5. Should work! + +## If Nothing Works + +If the ULTIMATE_FIX.sh still shows "STILL FAILING", there might be: +1. A file permission issue preventing the rebuild +2. A Docker daemon issue +3. Something modifying files during build + +Run the diagnostic and share the output: +```bash +./diagnose-307.sh > diagnostic-output.txt +cat diagnostic-output.txt +``` + +Send me that output and I'll figure out what's going on. diff --git a/ROOT_CAUSE_FOUND.md b/ROOT_CAUSE_FOUND.md new file mode 100644 index 0000000..74f474b --- /dev/null +++ b/ROOT_CAUSE_FOUND.md @@ -0,0 +1,200 @@ +# ROOT CAUSE FOUND! 🎯 + +## The Diagnostic Revealed Everything + +Your diagnostic output showed the **exact problem**: + +### What We Saw + +**Registered Routes (from diagnostic):** +``` +POST /api/accounts/ +GET /api/accounts/ +``` + +Notice the **trailing slash**? (`/api/accounts/`) + +**HTTP Response (from diagnostic):** +``` +HTTP/1.1 307 Temporary Redirect +location: http://localhost:8000/api/accounts/ +``` + +The backend was redirecting FROM `/api/accounts` TO `/api/accounts/` + +## Why This Was Happening + +### The Route Definition + +In `accounts.py`, the routes were defined as: + +```python +@router.get("/", response_model=List[AccountResponse]) +def list_accounts(...): + ... +``` + +### How FastAPI Combines Paths + +When you register the router in `main.py`: + +```python +app.include_router( + accounts.router, + prefix="/api/accounts", # <-- prefix + tags=["accounts"] +) +``` + +FastAPI combines them: +``` +prefix: "/api/accounts" + route: "/" = "/api/accounts/" + ↑ trailing slash! +``` + +### What the Frontend Was Doing + +Your React frontend was calling: +```javascript +fetch('http://starship2:8000/api/accounts') // No trailing slash +``` + +### The Result + +1. Frontend: `GET /api/accounts` (no slash) +2. Backend: "I only have `/api/accounts/` (with slash)" +3. Backend: "Let me redirect you there: HTTP 307" +4. Frontend: "I don't follow redirects automatically, request fails" +5. UI: Spinning loading indicator forever + +## The Fix + +Changed all route decorators from: +```python +@router.get("/", ...) # Creates /api/accounts/ +``` + +To: +```python +@router.get("", ...) # Creates /api/accounts +``` + +Now when combined: +``` +prefix: "/api/accounts" + route: "" = "/api/accounts" + ↑ NO trailing slash! +``` + +Perfect match with what the frontend calls! + +## Files Fixed + +1. **backend/app/api/endpoints/accounts.py** + - Changed `@router.post("/")` → `@router.post("")` + - Changed `@router.get("/")` → `@router.get("")` + +2. **backend/app/api/endpoints/positions.py** + - Changed `@router.get("/")` → `@router.get("")` + +3. **backend/app/api/endpoints/transactions.py** + - Changed `@router.get("/")` → `@router.get("")` + +## Why Previous Fixes Didn't Work + +We spent time trying to fix: +- Docker cache (not the issue) +- Database connection (not the issue) +- redirect_slashes parameter (not the issue) +- Environment variables (not the issue) + +**The real issue was simply the trailing slash in route paths!** + +## How To Apply The Fix + +### Option 1: Quick Transfer (Recommended) + +On your Mac: +```bash +cd /Users/chris/Desktop/fidelity +./transfer-final-fix.sh +``` + +Then on your server: +```bash +cd ~/fidelity +./FINAL_FIX.sh +``` + +### Option 2: Manual Transfer + +```bash +# On Mac +cd /Users/chris/Desktop/fidelity + +scp backend/app/api/endpoints/accounts.py pi@starship2:~/fidelity/backend/app/api/endpoints/ +scp backend/app/api/endpoints/positions.py pi@starship2:~/fidelity/backend/app/api/endpoints/ +scp backend/app/api/endpoints/transactions.py pi@starship2:~/fidelity/backend/app/api/endpoints/ +scp FINAL_FIX.sh pi@starship2:~/fidelity/ + +# On Server +ssh pi@starship2 +cd ~/fidelity +chmod +x FINAL_FIX.sh +./FINAL_FIX.sh +``` + +## What Will Happen + +The FINAL_FIX.sh script will: +1. Stop containers +2. Remove backend image +3. Rebuild backend with fixed code +4. Start services +5. Test automatically +6. Show **SUCCESS!** if it works + +## Expected Result + +After the fix: +- ✅ `GET /api/accounts` returns HTTP 200 (not 307!) +- ✅ Response: `[]` (empty array) +- ✅ Account creation works in UI +- ✅ No more spinning/loading forever + +## Why The Diagnostic Was So Helpful + +The diagnostic showed: +1. ✅ Backend had correct main.py (no redirect_slashes=False) +2. ✅ Database connection worked perfectly +3. ✅ Environment variables were correct +4. ✅ Image was freshly built (2 minutes ago) +5. ❌ But routes were registered WITH trailing slashes +6. ❌ And HTTP test returned 307 redirect + +This pointed directly to the route path issue! + +## Lesson Learned + +FastAPI's route registration is simple but subtle: + +```python +# These are DIFFERENT: +@router.get("/") # With trailing slash +@router.get("") # Without trailing slash + +# When combined with prefix "/api/accounts": +"/api/accounts" + "/" = "/api/accounts/" # Not what we want +"/api/accounts" + "" = "/api/accounts" # Perfect! +``` + +## Final Note + +This is a common FastAPI gotcha. The framework's `redirect_slashes=True` parameter is supposed to handle this, but when routes are registered with explicit trailing slashes, it creates the redirect behavior we saw. + +By using empty string `""` for the root route of each router, we match exactly what the frontend expects, and everything works! + +--- + +**Status:** ✅ Root cause identified and fixed! +**Next:** Transfer files and rebuild +**Expected:** Account creation should work perfectly! diff --git a/SIMPLE_DEPLOYMENT.md b/SIMPLE_DEPLOYMENT.md new file mode 100644 index 0000000..2b6b521 --- /dev/null +++ b/SIMPLE_DEPLOYMENT.md @@ -0,0 +1,115 @@ +# Simple Deployment Guide + +## Quick Fix for Rate Limiting + +You can deploy the rate limiting fix without manually editing files. I've created two approaches: + +### Approach 1: Automatic (Recommended) + +I'll create scripts that automatically update the necessary files. + +### Approach 2: Manual (if you prefer) + +Just 2 small changes needed: + +#### Change 1: Update main.py (backend) + +File: `backend/app/main.py` + +**Find this line:** +```python +from app.api.endpoints import accounts, transactions, positions, analytics +``` + +**Change to:** +```python +from app.api.endpoints import accounts, transactions, positions, analytics_v2 as analytics +``` + +That's it! By importing `analytics_v2 as analytics`, the rest of the file works unchanged. + +#### Change 2: Update App.tsx (frontend) + +File: `frontend/src/App.tsx` + +**Find this line:** +```typescript +import Dashboard from './components/Dashboard'; +``` + +**Change to:** +```typescript +import Dashboard from './components/DashboardV2'; +``` + +**That's it!** The component props are identical, so nothing else needs to change. + +### Deploy Steps + +```bash +# 1. Transfer files (on your Mac) +cd /Users/chris/Desktop/fidelity +./deploy-rate-limiting-fix.sh + +# 2. SSH to server +ssh pi@starship2 +cd ~/fidelity + +# 3. Make the two changes above, then rebuild +docker compose down +docker compose build --no-cache backend frontend +docker compose up -d + +# 4. Run migration (adds market_prices table) +sleep 30 +docker compose exec backend alembic upgrade head + +# 5. Verify +curl "http://localhost:8000/api/analytics/overview/1?refresh_prices=false" +``` + +### Testing + +1. Open dashboard: `http://starship2:3000` +2. Should load instantly! +3. Click account dropdown, select your account +4. Dashboard tab loads immediately with cached data +5. Click "🔄 Refresh Prices" button to get fresh data + +### Logs to Expect + +**Before (with rate limiting issues):** +``` +429 Client Error: Too Many Requests +429 Client Error: Too Many Requests +429 Client Error: Too Many Requests +``` + +**After (with fix):** +``` +Cache HIT (fresh): AAPL = $150.25 (age: 120s) +Cache HIT (stale): TSLA = $245.80 (age: 320s) +Cache MISS: AMD, fetching from Yahoo Finance... +Fetched AMD = $180.50 +``` + +### Rollback (if needed) + +To go back to the old version: + +```bash +# In main.py, change back to: +from app.api.endpoints import accounts, transactions, positions, analytics + +# In App.tsx, change back to: +import Dashboard from './components/Dashboard'; + +# Rebuild +docker compose build backend frontend +docker compose up -d +``` + +The `market_prices` table will remain (doesn't hurt anything), or you can drop it: +```sql +DROP TABLE market_prices; +``` diff --git a/SOLUTION_SUMMARY.md b/SOLUTION_SUMMARY.md new file mode 100644 index 0000000..efa78fd --- /dev/null +++ b/SOLUTION_SUMMARY.md @@ -0,0 +1,167 @@ +# Solution Summary - Account Creation Fix + +## Problem Identified + +Your backend is running **old cached code** from a previous Docker build. Even though you updated the files on your Linux server, the running container has the old version because: + +1. Docker cached the old code during the initial build +2. Rebuilding without `--no-cache` reused those cached layers +3. The old code had `redirect_slashes=False` which causes 307 redirects +4. Result: Account creation fails because API calls get redirected instead of processed + +## The Fix + +Run the **nuclear-fix.sh** script on your Linux server. This script: +- Completely removes all old containers, images, and cache +- Rebuilds everything from scratch with `--no-cache` +- Tests that the correct code is running +- Verifies all endpoints work + +## Files Created for You + +### 1. nuclear-fix.sh ⭐ MAIN FIX +Complete rebuild script that fixes everything. **Run this first**. + +### 2. verify-backend-code.sh +Diagnostic script that shows exactly what code is running in the container. +Use this if the nuclear fix doesn't work. + +### 3. CRITICAL_FIX_README.md +Detailed explanation of the problem and multiple solution options. + +### 4. transfer-to-server.sh +Helper script to transfer all files to your Linux server via SSH. + +## Quick Start + +### On your Mac: + +```bash +cd /Users/chris/Desktop/fidelity + +# Option A: Transfer files with helper script +./transfer-to-server.sh pi@starship2 + +# Option B: Manual transfer +scp nuclear-fix.sh verify-backend-code.sh CRITICAL_FIX_README.md pi@starship2:~/fidelity/ +scp backend/app/main.py pi@starship2:~/fidelity/backend/app/ +``` + +### On your Linux server (starship2): + +```bash +cd ~/fidelity + +# Read the detailed explanation (optional) +cat CRITICAL_FIX_README.md + +# Run the nuclear fix +./nuclear-fix.sh + +# Watch the output - it will test everything automatically +``` + +## Expected Results + +After running nuclear-fix.sh, you should see: + +``` +✓ Backend health check: PASSED +✓ Accounts endpoint: PASSED (HTTP 200) +✓ Frontend: PASSED (HTTP 200) +``` + +Then when you create an account in the UI: +- The form submits successfully +- No spinning/loading forever +- Account appears in the list + +## If It Still Doesn't Work + +Run the verification script: +```bash +./verify-backend-code.sh +``` + +This will show: +- What version of main.py is actually running +- Database connection details +- Registered routes +- Any configuration issues + +Share the output and I can help further. + +## Technical Details + +### Why --no-cache Is Critical + +Your current workflow: +1. ✅ Update files on Mac +2. ✅ Transfer to Linux server +3. ❌ Run `docker compose build` (WITHOUT --no-cache) +4. ❌ Docker reuses cached layers with OLD CODE +5. ❌ Container runs old code, account creation fails + +Correct workflow: +1. ✅ Update files on Mac +2. ✅ Transfer to Linux server +3. ✅ Run `docker compose build --no-cache` +4. ✅ Docker rebuilds every layer with NEW CODE +5. ✅ Container runs new code, everything works + +### The Volume Mount Misconception + +docker-compose.yml has: +```yaml +volumes: + - ./backend:/app +``` + +You might think: "Code changes should be automatic!" + +Reality: +- Volume mount puts files in container ✅ +- But uvicorn runs WITHOUT --reload flag ❌ +- Python has already loaded modules into memory ❌ +- Changing files doesn't restart the process ❌ + +For production (your setup), code is baked into the image at build time. + +### Why You See 307 Redirects + +Old main.py had: +```python +app = FastAPI( + redirect_slashes=False, # This was the problem! + ... +) +``` + +This caused: +- Frontend calls: `GET /api/accounts` (no trailing slash) +- Route registered as: `/api/accounts/` (with trailing slash) +- FastAPI can't match, returns 307 redirect +- Frontend doesn't follow redirect, gets stuck + +New main.py (fixed): +```python +app = FastAPI( + # redirect_slashes defaults to True + # Handles both /api/accounts and /api/accounts/ + ... +) +``` + +This works: +- Frontend calls: `GET /api/accounts` (no trailing slash) +- FastAPI auto-redirects internally to `/api/accounts/` +- Route matches, returns 200 with data ✅ + +## Summary + +**Problem**: Old code in Docker container +**Cause**: Docker build cache +**Solution**: Rebuild with --no-cache +**Script**: nuclear-fix.sh does this automatically + +Transfer the files and run the script. It should work! diff --git a/apply_patches.py b/apply_patches.py new file mode 100755 index 0000000..410cb37 --- /dev/null +++ b/apply_patches.py @@ -0,0 +1,157 @@ +#!/usr/bin/env python3 +""" +Apply patches for rate limiting fix. +This Python script works across all platforms. +""" +import os +import sys +import shutil +from pathlib import Path + + +def backup_file(filepath): + """Create backup of file.""" + backup_path = f"{filepath}.backup" + shutil.copy2(filepath, backup_path) + print(f"✓ Backed up {filepath} to {backup_path}") + return backup_path + + +def patch_main_py(): + """Patch backend/app/main.py to use analytics_v2.""" + filepath = Path("backend/app/main.py") + + if not filepath.exists(): + print(f"❌ Error: {filepath} not found") + return False + + print(f"\n[1/2] Patching {filepath}...") + + # Backup + backup_file(filepath) + + # Read file + with open(filepath, 'r') as f: + content = f.read() + + # Check if already patched + if 'analytics_v2 as analytics' in content or 'import analytics_v2' in content: + print("✓ Backend already patched (analytics_v2 found)") + return True + + # Apply patch + old_import = "from app.api.endpoints import accounts, transactions, positions, analytics" + new_import = "from app.api.endpoints import accounts, transactions, positions, analytics_v2 as analytics" + + if old_import in content: + content = content.replace(old_import, new_import) + + # Write back + with open(filepath, 'w') as f: + f.write(content) + + print("✓ Backend patched successfully") + return True + else: + print("❌ Could not find expected import line") + print("\nLooking for:") + print(f" {old_import}") + print("\nPlease manually edit backend/app/main.py") + return False + + +def patch_app_tsx(): + """Patch frontend/src/App.tsx to use DashboardV2.""" + filepath = Path("frontend/src/App.tsx") + + if not filepath.exists(): + print(f"❌ Error: {filepath} not found") + return False + + print(f"\n[2/2] Patching {filepath}...") + + # Backup + backup_file(filepath) + + # Read file + with open(filepath, 'r') as f: + content = f.read() + + # Check if already patched + if 'DashboardV2' in content or "components/DashboardV2" in content: + print("✓ Frontend already patched (DashboardV2 found)") + return True + + # Apply patch - handle both single and double quotes + old_import1 = "import Dashboard from './components/Dashboard'" + new_import1 = "import Dashboard from './components/DashboardV2'" + old_import2 = 'import Dashboard from "./components/Dashboard"' + new_import2 = 'import Dashboard from "./components/DashboardV2"' + + changed = False + if old_import1 in content: + content = content.replace(old_import1, new_import1) + changed = True + if old_import2 in content: + content = content.replace(old_import2, new_import2) + changed = True + + if changed: + # Write back + with open(filepath, 'w') as f: + f.write(content) + + print("✓ Frontend patched successfully") + return True + else: + print("❌ Could not find expected import line") + print("\nLooking for:") + print(f" {old_import1}") + print(f" or {old_import2}") + print("\nPlease manually edit frontend/src/App.tsx") + return False + + +def main(): + print("=" * 60) + print("Applying Rate Limiting Fix Patches (Python)") + print("=" * 60) + + # Check we're in the right directory + if not Path("docker-compose.yml").exists(): + print("\n❌ Error: docker-compose.yml not found") + print("Please run this script from the fidelity project directory") + sys.exit(1) + + # Apply patches + backend_ok = patch_main_py() + frontend_ok = patch_app_tsx() + + print("\n" + "=" * 60) + + if backend_ok and frontend_ok: + print("✅ All patches applied successfully!") + print("=" * 60) + print("\nNext steps:") + print("") + print("1. Rebuild containers:") + print(" docker compose down") + print(" docker compose build --no-cache backend frontend") + print(" docker compose up -d") + print("") + print("2. Run migration:") + print(" sleep 30") + print(" docker compose exec backend alembic upgrade head") + print("") + print("3. Test:") + print(" curl http://localhost:8000/api/analytics/overview/1?refresh_prices=false") + print("") + sys.exit(0) + else: + print("⚠️ Some patches failed - see manual instructions above") + print("=" * 60) + sys.exit(1) + + +if __name__ == "__main__": + main() diff --git a/backend/Dockerfile b/backend/Dockerfile new file mode 100644 index 0000000..1ec03d0 --- /dev/null +++ b/backend/Dockerfile @@ -0,0 +1,42 @@ +# Multi-stage build for Python FastAPI backend +FROM python:3.11-slim as builder + +WORKDIR /app + +# Install system dependencies +RUN apt-get update && apt-get install -y \ + gcc \ + postgresql-client \ + && rm -rf /var/lib/apt/lists/* + +# Copy requirements and install Python dependencies +COPY requirements.txt . +RUN pip install --no-cache-dir --user -r requirements.txt + +# Final stage +FROM python:3.11-slim + +WORKDIR /app + +# Install runtime dependencies +RUN apt-get update && apt-get install -y \ + postgresql-client \ + && rm -rf /var/lib/apt/lists/* + +# Copy Python dependencies from builder +COPY --from=builder /root/.local /root/.local + +# Copy application code +COPY . . + +# Make sure scripts in .local are usable +ENV PATH=/root/.local/bin:$PATH + +# Create imports directory +RUN mkdir -p /app/imports + +# Expose port +EXPOSE 8000 + +# Run migrations and start server +CMD alembic upgrade head && uvicorn app.main:app --host 0.0.0.0 --port 8000 diff --git a/backend/alembic.ini b/backend/alembic.ini new file mode 100644 index 0000000..4b8853b --- /dev/null +++ b/backend/alembic.ini @@ -0,0 +1,52 @@ +# Alembic configuration file + +[alembic] +# Path to migration scripts +script_location = alembic + +# Template used to generate migration files +file_template = %%(year)d%%(month).2d%%(day).2d_%%(hour).2d%%(minute).2d_%%(rev)s_%%(slug)s + +# Timezone for migration timestamps +timezone = UTC + +# Prepend migration scripts with proper encoding +prepend_sys_path = . + +# Version location specification +version_path_separator = os + +# Logging configuration +[loggers] +keys = root,sqlalchemy,alembic + +[handlers] +keys = console + +[formatters] +keys = generic + +[logger_root] +level = WARN +handlers = console +qualname = + +[logger_sqlalchemy] +level = WARN +handlers = +qualname = sqlalchemy.engine + +[logger_alembic] +level = INFO +handlers = +qualname = alembic + +[handler_console] +class = StreamHandler +args = (sys.stderr,) +level = NOTSET +formatter = generic + +[formatter_generic] +format = %(levelname)-5.5s [%(name)s] %(message)s +datefmt = %H:%M:%S diff --git a/backend/alembic/env.py b/backend/alembic/env.py new file mode 100644 index 0000000..aee0311 --- /dev/null +++ b/backend/alembic/env.py @@ -0,0 +1,72 @@ +"""Alembic environment configuration for database migrations.""" +from logging.config import fileConfig +from sqlalchemy import engine_from_config, pool +from alembic import context +import sys +from pathlib import Path + +# Add parent directory to path to import app modules +sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) + +from app.config import settings +from app.database import Base +from app.models import Account, Transaction, Position, PositionTransaction + +# Alembic Config object +config = context.config + +# Override sqlalchemy.url with our settings +config.set_main_option("sqlalchemy.url", settings.database_url) + +# Interpret the config file for Python logging +if config.config_file_name is not None: + fileConfig(config.config_file_name) + +# Target metadata for autogenerate support +target_metadata = Base.metadata + + +def run_migrations_offline() -> None: + """ + Run migrations in 'offline' mode. + + This configures the context with just a URL and not an Engine, + though an Engine is acceptable here as well. By skipping the Engine + creation we don't even need a DBAPI to be available. + """ + url = config.get_main_option("sqlalchemy.url") + context.configure( + url=url, + target_metadata=target_metadata, + literal_binds=True, + dialect_opts={"paramstyle": "named"}, + ) + + with context.begin_transaction(): + context.run_migrations() + + +def run_migrations_online() -> None: + """ + Run migrations in 'online' mode. + + In this scenario we need to create an Engine and associate a + connection with the context. + """ + connectable = engine_from_config( + config.get_section(config.config_ini_section), + prefix="sqlalchemy.", + poolclass=pool.NullPool, + ) + + with connectable.connect() as connection: + context.configure(connection=connection, target_metadata=target_metadata) + + with context.begin_transaction(): + context.run_migrations() + + +if context.is_offline_mode(): + run_migrations_offline() +else: + run_migrations_online() diff --git a/backend/alembic/script.py.mako b/backend/alembic/script.py.mako new file mode 100644 index 0000000..04bdcae --- /dev/null +++ b/backend/alembic/script.py.mako @@ -0,0 +1,25 @@ +"""${message} + +Revision ID: ${up_revision} +Revises: ${down_revision | comma,n} +Create Date: ${create_date} + +""" +from typing import Sequence, Union +from alembic import op +import sqlalchemy as sa +${imports if imports else ""} + +# revision identifiers, used by Alembic. +revision: str = ${repr(up_revision)} +down_revision: Union[str, None] = ${repr(down_revision)} +branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)} +depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)} + + +def upgrade() -> None: + ${upgrades if upgrades else "pass"} + + +def downgrade() -> None: + ${downgrades if downgrades else "pass"} diff --git a/backend/alembic/versions/001_initial_schema.py b/backend/alembic/versions/001_initial_schema.py new file mode 100644 index 0000000..17419b2 --- /dev/null +++ b/backend/alembic/versions/001_initial_schema.py @@ -0,0 +1,83 @@ +"""Initial schema + +Revision ID: 001_initial_schema +Revises: +Create Date: 2026-01-20 10:00:00.000000 + +""" +from alembic import op +import sqlalchemy as sa +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision = '001_initial_schema' +down_revision = None +branch_labels = None +depends_on = None + + +def upgrade() -> None: + # Create accounts table + op.create_table( + 'accounts', + sa.Column('id', sa.Integer(), nullable=False), + sa.Column('account_number', sa.String(length=50), nullable=False), + sa.Column('account_name', sa.String(length=200), nullable=False), + sa.Column('account_type', sa.Enum('CASH', 'MARGIN', name='accounttype'), nullable=False), + sa.Column('created_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=False), + sa.Column('updated_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=False), + sa.PrimaryKeyConstraint('id') + ) + op.create_index(op.f('ix_accounts_id'), 'accounts', ['id'], unique=False) + op.create_index(op.f('ix_accounts_account_number'), 'accounts', ['account_number'], unique=True) + + # Create transactions table + op.create_table( + 'transactions', + sa.Column('id', sa.Integer(), nullable=False), + sa.Column('account_id', sa.Integer(), nullable=False), + sa.Column('run_date', sa.Date(), nullable=False), + sa.Column('action', sa.String(length=500), nullable=False), + sa.Column('symbol', sa.String(length=50), nullable=True), + sa.Column('description', sa.String(length=500), nullable=True), + sa.Column('transaction_type', sa.String(length=20), nullable=True), + sa.Column('exchange_quantity', sa.Numeric(precision=20, scale=8), nullable=True), + sa.Column('exchange_currency', sa.String(length=10), nullable=True), + sa.Column('currency', sa.String(length=10), nullable=True), + sa.Column('price', sa.Numeric(precision=20, scale=8), nullable=True), + sa.Column('quantity', sa.Numeric(precision=20, scale=8), nullable=True), + sa.Column('exchange_rate', sa.Numeric(precision=20, scale=8), nullable=True), + sa.Column('commission', sa.Numeric(precision=20, scale=2), nullable=True), + sa.Column('fees', sa.Numeric(precision=20, scale=2), nullable=True), + sa.Column('accrued_interest', sa.Numeric(precision=20, scale=2), nullable=True), + sa.Column('amount', sa.Numeric(precision=20, scale=2), nullable=True), + sa.Column('cash_balance', sa.Numeric(precision=20, scale=2), nullable=True), + sa.Column('settlement_date', sa.Date(), nullable=True), + sa.Column('unique_hash', sa.String(length=64), nullable=False), + sa.Column('created_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=False), + sa.Column('updated_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=False), + sa.ForeignKeyConstraint(['account_id'], ['accounts.id'], ondelete='CASCADE'), + sa.PrimaryKeyConstraint('id') + ) + op.create_index(op.f('ix_transactions_id'), 'transactions', ['id'], unique=False) + op.create_index(op.f('ix_transactions_account_id'), 'transactions', ['account_id'], unique=False) + op.create_index(op.f('ix_transactions_run_date'), 'transactions', ['run_date'], unique=False) + op.create_index(op.f('ix_transactions_symbol'), 'transactions', ['symbol'], unique=False) + op.create_index(op.f('ix_transactions_unique_hash'), 'transactions', ['unique_hash'], unique=True) + op.create_index('idx_account_date', 'transactions', ['account_id', 'run_date'], unique=False) + op.create_index('idx_account_symbol', 'transactions', ['account_id', 'symbol'], unique=False) + + +def downgrade() -> None: + op.drop_index('idx_account_symbol', table_name='transactions') + op.drop_index('idx_account_date', table_name='transactions') + op.drop_index(op.f('ix_transactions_unique_hash'), table_name='transactions') + op.drop_index(op.f('ix_transactions_symbol'), table_name='transactions') + op.drop_index(op.f('ix_transactions_run_date'), table_name='transactions') + op.drop_index(op.f('ix_transactions_account_id'), table_name='transactions') + op.drop_index(op.f('ix_transactions_id'), table_name='transactions') + op.drop_table('transactions') + op.drop_index(op.f('ix_accounts_account_number'), table_name='accounts') + op.drop_index(op.f('ix_accounts_id'), table_name='accounts') + op.drop_table('accounts') + op.execute('DROP TYPE accounttype') diff --git a/backend/alembic/versions/002_add_positions.py b/backend/alembic/versions/002_add_positions.py new file mode 100644 index 0000000..854f95c --- /dev/null +++ b/backend/alembic/versions/002_add_positions.py @@ -0,0 +1,70 @@ +"""Add positions tables + +Revision ID: 002_add_positions +Revises: 001_initial_schema +Create Date: 2026-01-20 15:00:00.000000 + +""" +from alembic import op +import sqlalchemy as sa + +# revision identifiers, used by Alembic. +revision = '002_add_positions' +down_revision = '001_initial_schema' +branch_labels = None +depends_on = None + + +def upgrade() -> None: + # Create positions table + op.create_table( + 'positions', + sa.Column('id', sa.Integer(), nullable=False), + sa.Column('account_id', sa.Integer(), nullable=False), + sa.Column('symbol', sa.String(length=50), nullable=False), + sa.Column('option_symbol', sa.String(length=100), nullable=True), + sa.Column('position_type', sa.Enum('STOCK', 'CALL', 'PUT', name='positiontype'), nullable=False), + sa.Column('status', sa.Enum('OPEN', 'CLOSED', name='positionstatus'), nullable=False), + sa.Column('open_date', sa.Date(), nullable=False), + sa.Column('close_date', sa.Date(), nullable=True), + sa.Column('total_quantity', sa.Numeric(precision=20, scale=8), nullable=False), + sa.Column('avg_entry_price', sa.Numeric(precision=20, scale=8), nullable=True), + sa.Column('avg_exit_price', sa.Numeric(precision=20, scale=8), nullable=True), + sa.Column('realized_pnl', sa.Numeric(precision=20, scale=2), nullable=True), + sa.Column('unrealized_pnl', sa.Numeric(precision=20, scale=2), nullable=True), + sa.Column('created_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=False), + sa.Column('updated_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=False), + sa.ForeignKeyConstraint(['account_id'], ['accounts.id'], ondelete='CASCADE'), + sa.PrimaryKeyConstraint('id') + ) + op.create_index(op.f('ix_positions_id'), 'positions', ['id'], unique=False) + op.create_index(op.f('ix_positions_account_id'), 'positions', ['account_id'], unique=False) + op.create_index(op.f('ix_positions_symbol'), 'positions', ['symbol'], unique=False) + op.create_index(op.f('ix_positions_option_symbol'), 'positions', ['option_symbol'], unique=False) + op.create_index(op.f('ix_positions_status'), 'positions', ['status'], unique=False) + op.create_index('idx_account_status', 'positions', ['account_id', 'status'], unique=False) + op.create_index('idx_account_symbol_status', 'positions', ['account_id', 'symbol', 'status'], unique=False) + + # Create position_transactions junction table + op.create_table( + 'position_transactions', + sa.Column('position_id', sa.Integer(), nullable=False), + sa.Column('transaction_id', sa.Integer(), nullable=False), + sa.ForeignKeyConstraint(['position_id'], ['positions.id'], ondelete='CASCADE'), + sa.ForeignKeyConstraint(['transaction_id'], ['transactions.id'], ondelete='CASCADE'), + sa.PrimaryKeyConstraint('position_id', 'transaction_id') + ) + + +def downgrade() -> None: + op.drop_table('position_transactions') + op.drop_index('idx_account_symbol_status', table_name='positions') + op.drop_index('idx_account_status', table_name='positions') + op.drop_index(op.f('ix_positions_status'), table_name='positions') + op.drop_index(op.f('ix_positions_option_symbol'), table_name='positions') + op.drop_index(op.f('ix_positions_symbol'), table_name='positions') + op.drop_index(op.f('ix_positions_account_id'), table_name='positions') + op.drop_index(op.f('ix_positions_id'), table_name='positions') + op.drop_table('positions') + op.execute('DROP TYPE positionstatus') + op.execute('DROP TYPE positiontype') diff --git a/backend/alembic/versions/add_market_prices_table.py b/backend/alembic/versions/add_market_prices_table.py new file mode 100644 index 0000000..bea1768 --- /dev/null +++ b/backend/alembic/versions/add_market_prices_table.py @@ -0,0 +1,40 @@ +"""Add market_prices table for price caching + +Revision ID: 003_market_prices +Revises: 002_add_positions +Create Date: 2026-01-20 16:00:00.000000 + +""" +from alembic import op +import sqlalchemy as sa +from datetime import datetime + + +# revision identifiers, used by Alembic. +revision = '003_market_prices' +down_revision = '002_add_positions' +branch_labels = None +depends_on = None + + +def upgrade() -> None: + # Create market_prices table + op.create_table( + 'market_prices', + sa.Column('id', sa.Integer(), nullable=False), + sa.Column('symbol', sa.String(length=20), nullable=False), + sa.Column('price', sa.Numeric(precision=20, scale=6), nullable=False), + sa.Column('fetched_at', sa.DateTime(), nullable=False, default=datetime.utcnow), + sa.Column('source', sa.String(length=50), default='yahoo_finance'), + sa.PrimaryKeyConstraint('id') + ) + + # Create indexes + op.create_index('idx_market_prices_symbol', 'market_prices', ['symbol'], unique=True) + op.create_index('idx_symbol_fetched', 'market_prices', ['symbol', 'fetched_at']) + + +def downgrade() -> None: + op.drop_index('idx_symbol_fetched', table_name='market_prices') + op.drop_index('idx_market_prices_symbol', table_name='market_prices') + op.drop_table('market_prices') diff --git a/backend/app/__init__.py b/backend/app/__init__.py new file mode 100644 index 0000000..4ed55eb --- /dev/null +++ b/backend/app/__init__.py @@ -0,0 +1,2 @@ +"""myFidelityTracker backend application.""" +__version__ = "1.0.0" diff --git a/backend/app/api/__init__.py b/backend/app/api/__init__.py new file mode 100644 index 0000000..980330b --- /dev/null +++ b/backend/app/api/__init__.py @@ -0,0 +1 @@ +"""API routes and endpoints.""" diff --git a/backend/app/api/deps.py b/backend/app/api/deps.py new file mode 100644 index 0000000..2867b5e --- /dev/null +++ b/backend/app/api/deps.py @@ -0,0 +1,19 @@ +"""API dependencies.""" +from typing import Generator +from sqlalchemy.orm import Session + +from app.database import SessionLocal + + +def get_db() -> Generator[Session, None, None]: + """ + Dependency that provides a database session. + + Yields: + Database session + """ + db = SessionLocal() + try: + yield db + finally: + db.close() diff --git a/backend/app/api/endpoints/__init__.py b/backend/app/api/endpoints/__init__.py new file mode 100644 index 0000000..1bdb261 --- /dev/null +++ b/backend/app/api/endpoints/__init__.py @@ -0,0 +1 @@ +"""API endpoint modules.""" diff --git a/backend/app/api/endpoints/accounts.py b/backend/app/api/endpoints/accounts.py new file mode 100644 index 0000000..8b9ffa4 --- /dev/null +++ b/backend/app/api/endpoints/accounts.py @@ -0,0 +1,151 @@ +"""Account management API endpoints.""" +from fastapi import APIRouter, Depends, HTTPException, status +from sqlalchemy.orm import Session +from typing import List + +from app.api.deps import get_db +from app.models import Account +from app.schemas import AccountCreate, AccountUpdate, AccountResponse + +router = APIRouter() + + +@router.post("", response_model=AccountResponse, status_code=status.HTTP_201_CREATED) +def create_account(account: AccountCreate, db: Session = Depends(get_db)): + """ + Create a new brokerage account. + + Args: + account: Account creation data + db: Database session + + Returns: + Created account + + Raises: + HTTPException: If account number already exists + """ + # Check if account number already exists + existing = ( + db.query(Account) + .filter(Account.account_number == account.account_number) + .first() + ) + + if existing: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=f"Account with number {account.account_number} already exists", + ) + + # Create new account + db_account = Account(**account.model_dump()) + db.add(db_account) + db.commit() + db.refresh(db_account) + + return db_account + + +@router.get("", response_model=List[AccountResponse]) +def list_accounts(skip: int = 0, limit: int = 100, db: Session = Depends(get_db)): + """ + List all accounts. + + Args: + skip: Number of records to skip + limit: Maximum number of records to return + db: Database session + + Returns: + List of accounts + """ + accounts = db.query(Account).offset(skip).limit(limit).all() + return accounts + + +@router.get("/{account_id}", response_model=AccountResponse) +def get_account(account_id: int, db: Session = Depends(get_db)): + """ + Get account by ID. + + Args: + account_id: Account ID + db: Database session + + Returns: + Account details + + Raises: + HTTPException: If account not found + """ + account = db.query(Account).filter(Account.id == account_id).first() + + if not account: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=f"Account {account_id} not found", + ) + + return account + + +@router.put("/{account_id}", response_model=AccountResponse) +def update_account( + account_id: int, account_update: AccountUpdate, db: Session = Depends(get_db) +): + """ + Update account details. + + Args: + account_id: Account ID + account_update: Updated account data + db: Database session + + Returns: + Updated account + + Raises: + HTTPException: If account not found + """ + db_account = db.query(Account).filter(Account.id == account_id).first() + + if not db_account: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=f"Account {account_id} not found", + ) + + # Update fields + update_data = account_update.model_dump(exclude_unset=True) + for field, value in update_data.items(): + setattr(db_account, field, value) + + db.commit() + db.refresh(db_account) + + return db_account + + +@router.delete("/{account_id}", status_code=status.HTTP_204_NO_CONTENT) +def delete_account(account_id: int, db: Session = Depends(get_db)): + """ + Delete an account and all associated data. + + Args: + account_id: Account ID + db: Database session + + Raises: + HTTPException: If account not found + """ + db_account = db.query(Account).filter(Account.id == account_id).first() + + if not db_account: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=f"Account {account_id} not found", + ) + + db.delete(db_account) + db.commit() diff --git a/backend/app/api/endpoints/analytics.py b/backend/app/api/endpoints/analytics.py new file mode 100644 index 0000000..111dc33 --- /dev/null +++ b/backend/app/api/endpoints/analytics.py @@ -0,0 +1,111 @@ +"""Analytics API endpoints.""" +from fastapi import APIRouter, Depends, Query +from sqlalchemy.orm import Session +from typing import Optional + +from app.api.deps import get_db +from app.services.performance_calculator import PerformanceCalculator + +router = APIRouter() + + +@router.get("/overview/{account_id}") +def get_overview(account_id: int, db: Session = Depends(get_db)): + """ + Get overview statistics for an account. + + Args: + account_id: Account ID + db: Database session + + Returns: + Dictionary with performance metrics + """ + calculator = PerformanceCalculator(db) + stats = calculator.calculate_account_stats(account_id) + return stats + + +@router.get("/balance-history/{account_id}") +def get_balance_history( + account_id: int, + days: int = Query(default=30, ge=1, le=3650), + db: Session = Depends(get_db), +): + """ + Get account balance history for charting. + + Args: + account_id: Account ID + days: Number of days to retrieve (default: 30) + db: Database session + + Returns: + List of {date, balance} dictionaries + """ + calculator = PerformanceCalculator(db) + history = calculator.get_balance_history(account_id, days) + return {"data": history} + + +@router.get("/top-trades/{account_id}") +def get_top_trades( + account_id: int, + limit: int = Query(default=20, ge=1, le=100), + db: Session = Depends(get_db), +): + """ + Get top performing trades. + + Args: + account_id: Account ID + limit: Maximum number of trades to return (default: 20) + db: Database session + + Returns: + List of trade dictionaries + """ + calculator = PerformanceCalculator(db) + trades = calculator.get_top_trades(account_id, limit) + return {"data": trades} + + +@router.get("/worst-trades/{account_id}") +def get_worst_trades( + account_id: int, + limit: int = Query(default=20, ge=1, le=100), + db: Session = Depends(get_db), +): + """ + Get worst performing trades (biggest losses). + + Args: + account_id: Account ID + limit: Maximum number of trades to return (default: 20) + db: Database session + + Returns: + List of trade dictionaries + """ + calculator = PerformanceCalculator(db) + trades = calculator.get_worst_trades(account_id, limit) + return {"data": trades} + + +@router.post("/update-pnl/{account_id}") +def update_unrealized_pnl(account_id: int, db: Session = Depends(get_db)): + """ + Update unrealized P&L for all open positions in an account. + + Fetches current market prices and recalculates P&L. + + Args: + account_id: Account ID + db: Database session + + Returns: + Number of positions updated + """ + calculator = PerformanceCalculator(db) + updated = calculator.update_open_positions_pnl(account_id) + return {"positions_updated": updated} diff --git a/backend/app/api/endpoints/analytics_v2.py b/backend/app/api/endpoints/analytics_v2.py new file mode 100644 index 0000000..1310013 --- /dev/null +++ b/backend/app/api/endpoints/analytics_v2.py @@ -0,0 +1,273 @@ +""" +Enhanced analytics API endpoints with efficient market data handling. + +This version uses PerformanceCalculatorV2 with: +- Database-backed price caching +- Rate-limited API calls +- Stale-while-revalidate pattern for better UX +""" +from fastapi import APIRouter, Depends, Query, BackgroundTasks +from sqlalchemy.orm import Session +from typing import Optional +from datetime import date + +from app.api.deps import get_db +from app.services.performance_calculator_v2 import PerformanceCalculatorV2 +from app.services.market_data_service import MarketDataService + +router = APIRouter() + + +@router.get("/overview/{account_id}") +def get_overview( + account_id: int, + refresh_prices: bool = Query(default=False, description="Force fresh price fetch"), + max_api_calls: int = Query(default=5, ge=0, le=50, description="Max Yahoo Finance API calls"), + start_date: Optional[date] = None, + end_date: Optional[date] = None, + db: Session = Depends(get_db) +): + """ + Get overview statistics for an account. + + By default, uses cached prices (stale-while-revalidate pattern). + Set refresh_prices=true to force fresh data (may be slow). + + Args: + account_id: Account ID + refresh_prices: Whether to fetch fresh prices from Yahoo Finance + max_api_calls: Maximum number of API calls to make + start_date: Filter positions opened on or after this date + end_date: Filter positions opened on or before this date + db: Database session + + Returns: + Dictionary with performance metrics and cache stats + """ + calculator = PerformanceCalculatorV2(db, cache_ttl=300) + + # If not refreshing, use cached only (fast) + if not refresh_prices: + max_api_calls = 0 + + stats = calculator.calculate_account_stats( + account_id, + update_prices=True, + max_api_calls=max_api_calls, + start_date=start_date, + end_date=end_date + ) + + return stats + + +@router.get("/balance-history/{account_id}") +def get_balance_history( + account_id: int, + days: int = Query(default=30, ge=1, le=3650), + db: Session = Depends(get_db), +): + """ + Get account balance history for charting. + + This endpoint doesn't need market data, so it's always fast. + + Args: + account_id: Account ID + days: Number of days to retrieve (default: 30) + db: Database session + + Returns: + List of {date, balance} dictionaries + """ + calculator = PerformanceCalculatorV2(db) + history = calculator.get_balance_history(account_id, days) + return {"data": history} + + +@router.get("/top-trades/{account_id}") +def get_top_trades( + account_id: int, + limit: int = Query(default=10, ge=1, le=100), + start_date: Optional[date] = None, + end_date: Optional[date] = None, + db: Session = Depends(get_db), +): + """ + Get top performing trades. + + This endpoint only uses closed positions, so no market data needed. + + Args: + account_id: Account ID + limit: Maximum number of trades to return (default: 10) + start_date: Filter positions closed on or after this date + end_date: Filter positions closed on or before this date + db: Database session + + Returns: + List of trade dictionaries + """ + calculator = PerformanceCalculatorV2(db) + trades = calculator.get_top_trades(account_id, limit, start_date, end_date) + return {"data": trades} + + +@router.get("/worst-trades/{account_id}") +def get_worst_trades( + account_id: int, + limit: int = Query(default=10, ge=1, le=100), + start_date: Optional[date] = None, + end_date: Optional[date] = None, + db: Session = Depends(get_db), +): + """ + Get worst performing trades. + + This endpoint only uses closed positions, so no market data needed. + + Args: + account_id: Account ID + limit: Maximum number of trades to return (default: 10) + start_date: Filter positions closed on or after this date + end_date: Filter positions closed on or before this date + db: Database session + + Returns: + List of trade dictionaries + """ + calculator = PerformanceCalculatorV2(db) + trades = calculator.get_worst_trades(account_id, limit, start_date, end_date) + return {"data": trades} + + +@router.post("/refresh-prices/{account_id}") +def refresh_prices( + account_id: int, + max_api_calls: int = Query(default=10, ge=1, le=50), + db: Session = Depends(get_db), +): + """ + Manually trigger a price refresh for open positions. + + This is useful when you want fresh data but don't want to wait + on the dashboard load. + + Args: + account_id: Account ID + max_api_calls: Maximum number of Yahoo Finance API calls + db: Database session + + Returns: + Update statistics + """ + calculator = PerformanceCalculatorV2(db, cache_ttl=300) + + stats = calculator.update_open_positions_pnl( + account_id, + max_api_calls=max_api_calls, + allow_stale=False # Force fresh fetches + ) + + return { + "message": "Price refresh completed", + "stats": stats + } + + +@router.post("/refresh-prices-background/{account_id}") +def refresh_prices_background( + account_id: int, + background_tasks: BackgroundTasks, + max_api_calls: int = Query(default=20, ge=1, le=50), + db: Session = Depends(get_db), +): + """ + Trigger a background price refresh. + + This returns immediately while prices are fetched in the background. + Client can poll /overview endpoint to see updated data. + + Args: + account_id: Account ID + background_tasks: FastAPI background tasks + max_api_calls: Maximum number of Yahoo Finance API calls + db: Database session + + Returns: + Acknowledgment that background task was started + """ + def refresh_task(): + calculator = PerformanceCalculatorV2(db, cache_ttl=300) + calculator.update_open_positions_pnl( + account_id, + max_api_calls=max_api_calls, + allow_stale=False + ) + + background_tasks.add_task(refresh_task) + + return { + "message": "Price refresh started in background", + "account_id": account_id, + "max_api_calls": max_api_calls + } + + +@router.post("/refresh-stale-cache") +def refresh_stale_cache( + min_age_minutes: int = Query(default=10, ge=1, le=1440), + limit: int = Query(default=20, ge=1, le=100), + db: Session = Depends(get_db), +): + """ + Background maintenance endpoint to refresh stale cached prices. + + This can be called periodically (e.g., via cron) to keep cache fresh. + + Args: + min_age_minutes: Only refresh prices older than this many minutes + limit: Maximum number of prices to refresh + db: Database session + + Returns: + Number of prices refreshed + """ + market_data = MarketDataService(db, cache_ttl_seconds=300) + + refreshed = market_data.refresh_stale_prices( + min_age_seconds=min_age_minutes * 60, + limit=limit + ) + + return { + "message": "Stale price refresh completed", + "refreshed": refreshed, + "min_age_minutes": min_age_minutes + } + + +@router.delete("/clear-old-cache") +def clear_old_cache( + older_than_days: int = Query(default=30, ge=1, le=365), + db: Session = Depends(get_db), +): + """ + Clear old cached prices from database. + + Args: + older_than_days: Delete prices older than this many days + db: Database session + + Returns: + Number of records deleted + """ + market_data = MarketDataService(db) + + deleted = market_data.clear_cache(older_than_days=older_than_days) + + return { + "message": "Old cache cleared", + "deleted": deleted, + "older_than_days": older_than_days + } diff --git a/backend/app/api/endpoints/import_endpoint.py b/backend/app/api/endpoints/import_endpoint.py new file mode 100644 index 0000000..146c623 --- /dev/null +++ b/backend/app/api/endpoints/import_endpoint.py @@ -0,0 +1,128 @@ +"""Import API endpoints for CSV file uploads.""" +from fastapi import APIRouter, Depends, HTTPException, UploadFile, File, status +from sqlalchemy.orm import Session +from pathlib import Path +import tempfile +import shutil + +from app.api.deps import get_db +from app.services import ImportService +from app.services.position_tracker import PositionTracker +from app.config import settings + +router = APIRouter() + + +@router.post("/upload/{account_id}") +def upload_csv( + account_id: int, file: UploadFile = File(...), db: Session = Depends(get_db) +): + """ + Upload and import a CSV file for an account. + + Args: + account_id: Account ID to import transactions for + file: CSV file to upload + db: Database session + + Returns: + Import statistics + + Raises: + HTTPException: If import fails + """ + if not file.filename.endswith(".csv"): + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, detail="File must be a CSV" + ) + + # Save uploaded file to temporary location + try: + with tempfile.NamedTemporaryFile(delete=False, suffix=".csv") as tmp_file: + shutil.copyfileobj(file.file, tmp_file) + tmp_path = Path(tmp_file.name) + + # Import transactions + import_service = ImportService(db) + result = import_service.import_from_file(tmp_path, account_id) + + # Rebuild positions after import + if result.imported > 0: + position_tracker = PositionTracker(db) + positions_created = position_tracker.rebuild_positions(account_id) + else: + positions_created = 0 + + # Clean up temporary file + tmp_path.unlink() + + return { + "filename": file.filename, + "imported": result.imported, + "skipped": result.skipped, + "errors": result.errors, + "total_rows": result.total_rows, + "positions_created": positions_created, + } + + except Exception as e: + raise HTTPException( + status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, + detail=f"Import failed: {str(e)}", + ) + + +@router.post("/filesystem/{account_id}") +def import_from_filesystem(account_id: int, db: Session = Depends(get_db)): + """ + Import all CSV files from the filesystem import directory. + + Args: + account_id: Account ID to import transactions for + db: Database session + + Returns: + Import statistics for all files + + Raises: + HTTPException: If import directory doesn't exist + """ + import_dir = Path(settings.IMPORT_DIR) + + if not import_dir.exists(): + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=f"Import directory not found: {import_dir}", + ) + + try: + import_service = ImportService(db) + results = import_service.import_from_directory(import_dir, account_id) + + # Rebuild positions if any transactions were imported + total_imported = sum(r.imported for r in results.values()) + if total_imported > 0: + position_tracker = PositionTracker(db) + positions_created = position_tracker.rebuild_positions(account_id) + else: + positions_created = 0 + + return { + "files": { + filename: { + "imported": result.imported, + "skipped": result.skipped, + "errors": result.errors, + "total_rows": result.total_rows, + } + for filename, result in results.items() + }, + "total_imported": total_imported, + "positions_created": positions_created, + } + + except Exception as e: + raise HTTPException( + status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, + detail=f"Import failed: {str(e)}", + ) diff --git a/backend/app/api/endpoints/positions.py b/backend/app/api/endpoints/positions.py new file mode 100644 index 0000000..4c1eb7a --- /dev/null +++ b/backend/app/api/endpoints/positions.py @@ -0,0 +1,104 @@ +"""Position API endpoints.""" +from fastapi import APIRouter, Depends, HTTPException, Query, status +from sqlalchemy.orm import Session +from sqlalchemy import and_ +from typing import List, Optional + +from app.api.deps import get_db +from app.models import Position +from app.models.position import PositionStatus +from app.schemas import PositionResponse + +router = APIRouter() + + +@router.get("", response_model=List[PositionResponse]) +def list_positions( + account_id: Optional[int] = None, + status_filter: Optional[PositionStatus] = Query( + default=None, alias="status", description="Filter by position status" + ), + symbol: Optional[str] = None, + skip: int = 0, + limit: int = Query(default=100, le=500), + db: Session = Depends(get_db), +): + """ + List positions with optional filtering. + + Args: + account_id: Filter by account ID + status_filter: Filter by status (open/closed) + symbol: Filter by symbol + skip: Number of records to skip (pagination) + limit: Maximum number of records to return + db: Database session + + Returns: + List of positions + """ + query = db.query(Position) + + # Apply filters + if account_id: + query = query.filter(Position.account_id == account_id) + + if status_filter: + query = query.filter(Position.status == status_filter) + + if symbol: + query = query.filter(Position.symbol == symbol) + + # Order by most recent first + query = query.order_by(Position.open_date.desc(), Position.id.desc()) + + # Pagination + positions = query.offset(skip).limit(limit).all() + + return positions + + +@router.get("/{position_id}", response_model=PositionResponse) +def get_position(position_id: int, db: Session = Depends(get_db)): + """ + Get position by ID. + + Args: + position_id: Position ID + db: Database session + + Returns: + Position details + + Raises: + HTTPException: If position not found + """ + position = db.query(Position).filter(Position.id == position_id).first() + + if not position: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=f"Position {position_id} not found", + ) + + return position + + +@router.post("/{account_id}/rebuild") +def rebuild_positions(account_id: int, db: Session = Depends(get_db)): + """ + Rebuild all positions for an account from transactions. + + Args: + account_id: Account ID + db: Database session + + Returns: + Number of positions created + """ + from app.services.position_tracker import PositionTracker + + position_tracker = PositionTracker(db) + positions_created = position_tracker.rebuild_positions(account_id) + + return {"positions_created": positions_created} diff --git a/backend/app/api/endpoints/transactions.py b/backend/app/api/endpoints/transactions.py new file mode 100644 index 0000000..b465c9d --- /dev/null +++ b/backend/app/api/endpoints/transactions.py @@ -0,0 +1,227 @@ +"""Transaction API endpoints.""" +from fastapi import APIRouter, Depends, HTTPException, Query, status +from sqlalchemy.orm import Session +from sqlalchemy import and_, or_ +from typing import List, Optional, Dict +from datetime import date + +from app.api.deps import get_db +from app.models import Transaction, Position, PositionTransaction +from app.schemas import TransactionResponse + +router = APIRouter() + + +@router.get("", response_model=List[TransactionResponse]) +def list_transactions( + account_id: Optional[int] = None, + symbol: Optional[str] = None, + start_date: Optional[date] = None, + end_date: Optional[date] = None, + skip: int = 0, + limit: int = Query(default=50, le=500), + db: Session = Depends(get_db), +): + """ + List transactions with optional filtering. + + Args: + account_id: Filter by account ID + symbol: Filter by symbol + start_date: Filter by start date (inclusive) + end_date: Filter by end date (inclusive) + skip: Number of records to skip (pagination) + limit: Maximum number of records to return + db: Database session + + Returns: + List of transactions + """ + query = db.query(Transaction) + + # Apply filters + if account_id: + query = query.filter(Transaction.account_id == account_id) + + if symbol: + query = query.filter(Transaction.symbol == symbol) + + if start_date: + query = query.filter(Transaction.run_date >= start_date) + + if end_date: + query = query.filter(Transaction.run_date <= end_date) + + # Order by date descending + query = query.order_by(Transaction.run_date.desc(), Transaction.id.desc()) + + # Pagination + transactions = query.offset(skip).limit(limit).all() + + return transactions + + +@router.get("/{transaction_id}", response_model=TransactionResponse) +def get_transaction(transaction_id: int, db: Session = Depends(get_db)): + """ + Get transaction by ID. + + Args: + transaction_id: Transaction ID + db: Database session + + Returns: + Transaction details + + Raises: + HTTPException: If transaction not found + """ + transaction = ( + db.query(Transaction).filter(Transaction.id == transaction_id).first() + ) + + if not transaction: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=f"Transaction {transaction_id} not found", + ) + + return transaction + + +@router.get("/{transaction_id}/position-details") +def get_transaction_position_details( + transaction_id: int, db: Session = Depends(get_db) +) -> Dict: + """ + Get full position details for a transaction, including all related transactions. + + This endpoint finds the position associated with a transaction and returns: + - All transactions that are part of the same position + - Position metadata (type, status, P&L, etc.) + - Strategy classification for options (covered call, cash-secured put, etc.) + + Args: + transaction_id: Transaction ID + db: Database session + + Returns: + Dictionary with position details and all related transactions + + Raises: + HTTPException: If transaction not found or not part of a position + """ + # Find the transaction + transaction = ( + db.query(Transaction).filter(Transaction.id == transaction_id).first() + ) + + if not transaction: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=f"Transaction {transaction_id} not found", + ) + + # Find the position this transaction belongs to + position_link = ( + db.query(PositionTransaction) + .filter(PositionTransaction.transaction_id == transaction_id) + .first() + ) + + if not position_link: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=f"Transaction {transaction_id} is not part of any position", + ) + + # Get the position with all its transactions + position = ( + db.query(Position) + .filter(Position.id == position_link.position_id) + .first() + ) + + if not position: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=f"Position not found", + ) + + # Get all transactions for this position + all_transactions = [] + for link in position.transaction_links: + txn = link.transaction + all_transactions.append({ + "id": txn.id, + "run_date": txn.run_date.isoformat(), + "action": txn.action, + "symbol": txn.symbol, + "description": txn.description, + "quantity": float(txn.quantity) if txn.quantity else None, + "price": float(txn.price) if txn.price else None, + "amount": float(txn.amount) if txn.amount else None, + "commission": float(txn.commission) if txn.commission else None, + "fees": float(txn.fees) if txn.fees else None, + }) + + # Sort transactions by date + all_transactions.sort(key=lambda t: t["run_date"]) + + # Determine strategy type for options + strategy = _classify_option_strategy(position, all_transactions) + + return { + "position": { + "id": position.id, + "symbol": position.symbol, + "option_symbol": position.option_symbol, + "position_type": position.position_type.value, + "status": position.status.value, + "open_date": position.open_date.isoformat(), + "close_date": position.close_date.isoformat() if position.close_date else None, + "total_quantity": float(position.total_quantity), + "avg_entry_price": float(position.avg_entry_price) if position.avg_entry_price is not None else None, + "avg_exit_price": float(position.avg_exit_price) if position.avg_exit_price is not None else None, + "realized_pnl": float(position.realized_pnl) if position.realized_pnl is not None else None, + "unrealized_pnl": float(position.unrealized_pnl) if position.unrealized_pnl is not None else None, + "strategy": strategy, + }, + "transactions": all_transactions, + } + + +def _classify_option_strategy(position: Position, transactions: List[Dict]) -> str: + """ + Classify the option strategy based on position type and transactions. + + Args: + position: Position object + transactions: List of transaction dictionaries + + Returns: + Strategy name (e.g., "Long Call", "Covered Call", "Cash-Secured Put") + """ + if position.position_type.value == "stock": + return "Stock" + + # Check if this is a short or long position + is_short = position.total_quantity < 0 + + # For options + if position.position_type.value == "call": + if is_short: + # Short call - could be covered or naked + # We'd need to check if there's a corresponding stock position to determine + # For now, just return "Short Call" (could enhance later) + return "Short Call (Covered Call)" + else: + return "Long Call" + elif position.position_type.value == "put": + if is_short: + # Short put - could be cash-secured or naked + return "Short Put (Cash-Secured Put)" + else: + return "Long Put" + + return "Unknown" diff --git a/backend/app/config.py b/backend/app/config.py new file mode 100644 index 0000000..d3a4dca --- /dev/null +++ b/backend/app/config.py @@ -0,0 +1,53 @@ +""" +Application configuration settings. +Loads configuration from environment variables with sensible defaults. +""" +from pydantic_settings import BaseSettings +from typing import Optional + + +class Settings(BaseSettings): + """Application settings loaded from environment variables.""" + + # Database configuration + POSTGRES_HOST: str = "postgres" + POSTGRES_PORT: int = 5432 + POSTGRES_DB: str = "fidelitytracker" + POSTGRES_USER: str = "fidelity" + POSTGRES_PASSWORD: str = "fidelity123" + + # API configuration + API_V1_PREFIX: str = "/api" + PROJECT_NAME: str = "myFidelityTracker" + + # CORS configuration - allow all origins for local development + CORS_ORIGINS: str = "*" + + @property + def cors_origins_list(self) -> list[str]: + """Parse CORS origins from comma-separated string.""" + if self.CORS_ORIGINS == "*": + return ["*"] + return [origin.strip() for origin in self.CORS_ORIGINS.split(",")] + + # File import configuration + IMPORT_DIR: str = "/app/imports" + + # Market data cache TTL (seconds) + MARKET_DATA_CACHE_TTL: int = 60 + + @property + def database_url(self) -> str: + """Construct PostgreSQL database URL.""" + return ( + f"postgresql://{self.POSTGRES_USER}:{self.POSTGRES_PASSWORD}" + f"@{self.POSTGRES_HOST}:{self.POSTGRES_PORT}/{self.POSTGRES_DB}" + ) + + class Config: + env_file = ".env" + case_sensitive = True + + +# Global settings instance +settings = Settings() diff --git a/backend/app/database.py b/backend/app/database.py new file mode 100644 index 0000000..bc53fea --- /dev/null +++ b/backend/app/database.py @@ -0,0 +1,38 @@ +""" +Database configuration and session management. +Provides SQLAlchemy engine and session factory. +""" +from sqlalchemy import create_engine +from sqlalchemy.ext.declarative import declarative_base +from sqlalchemy.orm import sessionmaker + +from app.config import settings + +# Create SQLAlchemy engine +engine = create_engine( + settings.database_url, + pool_pre_ping=True, # Enable connection health checks + pool_size=10, + max_overflow=20 +) + +# Create session factory +SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine) + +# Base class for SQLAlchemy models +Base = declarative_base() + + +def get_db(): + """ + Dependency function that provides a database session. + Automatically closes the session after the request is completed. + + Yields: + Session: SQLAlchemy database session + """ + db = SessionLocal() + try: + yield db + finally: + db.close() diff --git a/backend/app/main.py b/backend/app/main.py new file mode 100644 index 0000000..e3952e8 --- /dev/null +++ b/backend/app/main.py @@ -0,0 +1,66 @@ +""" +FastAPI application entry point for myFidelityTracker. + +This module initializes the FastAPI application, configures CORS, +and registers all API routers. +""" +from fastapi import FastAPI +from fastapi.middleware.cors import CORSMiddleware + +from app.config import settings +from app.api.endpoints import accounts, transactions, positions, import_endpoint +from app.api.endpoints import analytics_v2 as analytics + +# Create FastAPI application +app = FastAPI( + title=settings.PROJECT_NAME, + description="Track and analyze your Fidelity brokerage account performance", + version="1.0.0", +) + +# Configure CORS middleware - allow all origins for local network access +app.add_middleware( + CORSMiddleware, + allow_origins=["*"], # Allow all origins for local development + allow_credentials=False, # Must be False when using allow_origins=["*"] + allow_methods=["*"], + allow_headers=["*"], +) + + +# Register API routers +app.include_router( + accounts.router, prefix=f"{settings.API_V1_PREFIX}/accounts", tags=["accounts"] +) +app.include_router( + transactions.router, + prefix=f"{settings.API_V1_PREFIX}/transactions", + tags=["transactions"], +) +app.include_router( + positions.router, prefix=f"{settings.API_V1_PREFIX}/positions", tags=["positions"] +) +app.include_router( + analytics.router, prefix=f"{settings.API_V1_PREFIX}/analytics", tags=["analytics"] +) +app.include_router( + import_endpoint.router, + prefix=f"{settings.API_V1_PREFIX}/import", + tags=["import"], +) + + +@app.get("/") +def root(): + """Root endpoint returning API information.""" + return { + "name": settings.PROJECT_NAME, + "version": "1.0.0", + "message": "Welcome to myFidelityTracker API", + } + + +@app.get("/health") +def health_check(): + """Health check endpoint.""" + return {"status": "healthy"} diff --git a/backend/app/models/__init__.py b/backend/app/models/__init__.py new file mode 100644 index 0000000..415685a --- /dev/null +++ b/backend/app/models/__init__.py @@ -0,0 +1,7 @@ +"""SQLAlchemy models for the application.""" +from app.models.account import Account +from app.models.transaction import Transaction +from app.models.position import Position, PositionTransaction +from app.models.market_price import MarketPrice + +__all__ = ["Account", "Transaction", "Position", "PositionTransaction", "MarketPrice"] diff --git a/backend/app/models/account.py b/backend/app/models/account.py new file mode 100644 index 0000000..8951430 --- /dev/null +++ b/backend/app/models/account.py @@ -0,0 +1,41 @@ +"""Account model representing a brokerage account.""" +from sqlalchemy import Column, Integer, String, DateTime, Enum +from sqlalchemy.orm import relationship +from sqlalchemy.sql import func +import enum + +from app.database import Base + + +class AccountType(str, enum.Enum): + """Enumeration of account types.""" + CASH = "cash" + MARGIN = "margin" + + +class Account(Base): + """ + Represents a brokerage account. + + Attributes: + id: Primary key + account_number: Unique account identifier + account_name: Human-readable account name + account_type: Type of account (cash or margin) + created_at: Timestamp of account creation + updated_at: Timestamp of last update + transactions: Related transactions + positions: Related positions + """ + __tablename__ = "accounts" + + id = Column(Integer, primary_key=True, index=True) + account_number = Column(String(50), unique=True, nullable=False, index=True) + account_name = Column(String(200), nullable=False) + account_type = Column(Enum(AccountType), nullable=False, default=AccountType.CASH) + created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False) + updated_at = Column(DateTime(timezone=True), onupdate=func.now(), server_default=func.now(), nullable=False) + + # Relationships + transactions = relationship("Transaction", back_populates="account", cascade="all, delete-orphan") + positions = relationship("Position", back_populates="account", cascade="all, delete-orphan") diff --git a/backend/app/models/market_price.py b/backend/app/models/market_price.py new file mode 100644 index 0000000..b3bf085 --- /dev/null +++ b/backend/app/models/market_price.py @@ -0,0 +1,29 @@ +"""Market price cache model for storing Yahoo Finance data.""" +from sqlalchemy import Column, Integer, String, Numeric, DateTime, Index +from datetime import datetime + +from app.database import Base + + +class MarketPrice(Base): + """ + Cache table for market prices from Yahoo Finance. + + Stores the last fetched price for each symbol to reduce API calls. + """ + + __tablename__ = "market_prices" + + id = Column(Integer, primary_key=True, index=True) + symbol = Column(String(20), unique=True, nullable=False, index=True) + price = Column(Numeric(precision=20, scale=6), nullable=False) + fetched_at = Column(DateTime, nullable=False, default=datetime.utcnow) + source = Column(String(50), default="yahoo_finance") + + # Index for quick lookups by symbol and freshness checks + __table_args__ = ( + Index('idx_symbol_fetched', 'symbol', 'fetched_at'), + ) + + def __repr__(self): + return f"" diff --git a/backend/app/models/position.py b/backend/app/models/position.py new file mode 100644 index 0000000..e951ad5 --- /dev/null +++ b/backend/app/models/position.py @@ -0,0 +1,104 @@ +"""Position model representing a trading position.""" +from sqlalchemy import Column, Integer, String, DateTime, Numeric, ForeignKey, Date, Enum, Index +from sqlalchemy.orm import relationship +from sqlalchemy.sql import func +import enum + +from app.database import Base + + +class PositionType(str, enum.Enum): + """Enumeration of position types.""" + STOCK = "stock" + CALL = "call" + PUT = "put" + + +class PositionStatus(str, enum.Enum): + """Enumeration of position statuses.""" + OPEN = "open" + CLOSED = "closed" + + +class Position(Base): + """ + Represents a trading position (open or closed). + + A position aggregates related transactions (entries and exits) for a specific security. + For options, tracks strikes, expirations, and option-specific details. + + Attributes: + id: Primary key + account_id: Foreign key to account + symbol: Base trading symbol (e.g., AAPL) + option_symbol: Full option symbol if applicable (e.g., -AAPL260116C150) + position_type: Type (stock, call, put) + status: Status (open, closed) + open_date: Date position was opened + close_date: Date position was closed (if closed) + total_quantity: Net quantity (can be negative for short positions) + avg_entry_price: Average entry price + avg_exit_price: Average exit price (if closed) + realized_pnl: Realized profit/loss for closed positions + unrealized_pnl: Unrealized profit/loss for open positions + created_at: Timestamp of record creation + updated_at: Timestamp of last update + """ + __tablename__ = "positions" + + id = Column(Integer, primary_key=True, index=True) + account_id = Column(Integer, ForeignKey("accounts.id", ondelete="CASCADE"), nullable=False, index=True) + + # Symbol information + symbol = Column(String(50), nullable=False, index=True) + option_symbol = Column(String(100), index=True) # Full option symbol for options + position_type = Column(Enum(PositionType), nullable=False, default=PositionType.STOCK) + + # Status and dates + status = Column(Enum(PositionStatus), nullable=False, default=PositionStatus.OPEN, index=True) + open_date = Column(Date, nullable=False) + close_date = Column(Date) + + # Position metrics + total_quantity = Column(Numeric(20, 8), nullable=False) # Can be negative for short + avg_entry_price = Column(Numeric(20, 8)) + avg_exit_price = Column(Numeric(20, 8)) + + # P&L tracking + realized_pnl = Column(Numeric(20, 2)) # For closed positions + unrealized_pnl = Column(Numeric(20, 2)) # For open positions + + # Timestamps + created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False) + updated_at = Column(DateTime(timezone=True), onupdate=func.now(), server_default=func.now(), nullable=False) + + # Relationships + account = relationship("Account", back_populates="positions") + transaction_links = relationship("PositionTransaction", back_populates="position", cascade="all, delete-orphan") + + # Composite indexes for common queries + __table_args__ = ( + Index('idx_account_status', 'account_id', 'status'), + Index('idx_account_symbol_status', 'account_id', 'symbol', 'status'), + ) + + +class PositionTransaction(Base): + """ + Junction table linking positions to transactions. + + A position can have multiple transactions (entries, exits, adjustments). + A transaction can be part of multiple positions (e.g., closing multiple lots). + + Attributes: + position_id: Foreign key to position + transaction_id: Foreign key to transaction + """ + __tablename__ = "position_transactions" + + position_id = Column(Integer, ForeignKey("positions.id", ondelete="CASCADE"), primary_key=True) + transaction_id = Column(Integer, ForeignKey("transactions.id", ondelete="CASCADE"), primary_key=True) + + # Relationships + position = relationship("Position", back_populates="transaction_links") + transaction = relationship("Transaction", back_populates="position_links") diff --git a/backend/app/models/transaction.py b/backend/app/models/transaction.py new file mode 100644 index 0000000..3a0815c --- /dev/null +++ b/backend/app/models/transaction.py @@ -0,0 +1,81 @@ +"""Transaction model representing a brokerage transaction.""" +from sqlalchemy import Column, Integer, String, DateTime, Numeric, ForeignKey, Date, Index +from sqlalchemy.orm import relationship +from sqlalchemy.sql import func + +from app.database import Base + + +class Transaction(Base): + """ + Represents a single brokerage transaction. + + Attributes: + id: Primary key + account_id: Foreign key to account + run_date: Date the transaction was recorded + action: Description of the transaction action + symbol: Trading symbol + description: Full transaction description + transaction_type: Type (Cash/Margin) + exchange_quantity: Quantity in exchange currency + exchange_currency: Exchange currency code + currency: Transaction currency + price: Transaction price per unit + quantity: Number of shares/contracts + exchange_rate: Currency exchange rate + commission: Commission fees + fees: Additional fees + accrued_interest: Interest accrued + amount: Total transaction amount + cash_balance: Account balance after transaction + settlement_date: Date transaction settles + unique_hash: SHA-256 hash for deduplication + created_at: Timestamp of record creation + updated_at: Timestamp of last update + """ + __tablename__ = "transactions" + + id = Column(Integer, primary_key=True, index=True) + account_id = Column(Integer, ForeignKey("accounts.id", ondelete="CASCADE"), nullable=False, index=True) + + # Transaction details from CSV + run_date = Column(Date, nullable=False, index=True) + action = Column(String(500), nullable=False) + symbol = Column(String(50), index=True) + description = Column(String(500)) + transaction_type = Column(String(20)) # Cash, Margin + + # Quantities and currencies + exchange_quantity = Column(Numeric(20, 8)) + exchange_currency = Column(String(10)) + currency = Column(String(10)) + + # Financial details + price = Column(Numeric(20, 8)) + quantity = Column(Numeric(20, 8)) + exchange_rate = Column(Numeric(20, 8)) + commission = Column(Numeric(20, 2)) + fees = Column(Numeric(20, 2)) + accrued_interest = Column(Numeric(20, 2)) + amount = Column(Numeric(20, 2)) + cash_balance = Column(Numeric(20, 2)) + + settlement_date = Column(Date) + + # Deduplication hash + unique_hash = Column(String(64), unique=True, nullable=False, index=True) + + # Timestamps + created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False) + updated_at = Column(DateTime(timezone=True), onupdate=func.now(), server_default=func.now(), nullable=False) + + # Relationships + account = relationship("Account", back_populates="transactions") + position_links = relationship("PositionTransaction", back_populates="transaction", cascade="all, delete-orphan") + + # Composite index for common queries + __table_args__ = ( + Index('idx_account_date', 'account_id', 'run_date'), + Index('idx_account_symbol', 'account_id', 'symbol'), + ) diff --git a/backend/app/parsers/__init__.py b/backend/app/parsers/__init__.py new file mode 100644 index 0000000..c7dc339 --- /dev/null +++ b/backend/app/parsers/__init__.py @@ -0,0 +1,5 @@ +"""CSV parser modules for various brokerage formats.""" +from app.parsers.base_parser import BaseParser, ParseResult +from app.parsers.fidelity_parser import FidelityParser + +__all__ = ["BaseParser", "ParseResult", "FidelityParser"] diff --git a/backend/app/parsers/base_parser.py b/backend/app/parsers/base_parser.py new file mode 100644 index 0000000..7c17ced --- /dev/null +++ b/backend/app/parsers/base_parser.py @@ -0,0 +1,99 @@ +"""Base parser interface for brokerage CSV files.""" +from abc import ABC, abstractmethod +from typing import List, Dict, Any, NamedTuple +from pathlib import Path +import pandas as pd + + +class ParseResult(NamedTuple): + """ + Result of parsing a brokerage CSV file. + + Attributes: + transactions: List of parsed transaction dictionaries + errors: List of error messages encountered during parsing + row_count: Total number of rows processed + """ + transactions: List[Dict[str, Any]] + errors: List[str] + row_count: int + + +class BaseParser(ABC): + """ + Abstract base class for brokerage CSV parsers. + + Provides a standard interface for parsing CSV files from different brokerages. + Subclasses must implement the parse() method for their specific format. + """ + + @abstractmethod + def parse(self, file_path: Path) -> ParseResult: + """ + Parse a brokerage CSV file into standardized transaction dictionaries. + + Args: + file_path: Path to the CSV file to parse + + Returns: + ParseResult containing transactions, errors, and row count + + Raises: + FileNotFoundError: If the file does not exist + ValueError: If the file format is invalid + """ + pass + + def _read_csv(self, file_path: Path, **kwargs) -> pd.DataFrame: + """ + Read CSV file into a pandas DataFrame with error handling. + + Args: + file_path: Path to CSV file + **kwargs: Additional arguments passed to pd.read_csv() + + Returns: + DataFrame containing CSV data + + Raises: + FileNotFoundError: If file does not exist + pd.errors.EmptyDataError: If file is empty + """ + if not file_path.exists(): + raise FileNotFoundError(f"CSV file not found: {file_path}") + + return pd.read_csv(file_path, **kwargs) + + @staticmethod + def _safe_decimal(value: Any) -> Any: + """ + Safely convert value to decimal-compatible format, handling NaN and None. + + Args: + value: Value to convert + + Returns: + Converted value or None if invalid + """ + if pd.isna(value): + return None + if value == "": + return None + return value + + @staticmethod + def _safe_date(value: Any) -> Any: + """ + Safely convert value to date, handling NaN and None. + + Args: + value: Value to convert + + Returns: + Converted date or None if invalid + """ + if pd.isna(value): + return None + if value == "": + return None + return value diff --git a/backend/app/parsers/fidelity_parser.py b/backend/app/parsers/fidelity_parser.py new file mode 100644 index 0000000..87ce9bc --- /dev/null +++ b/backend/app/parsers/fidelity_parser.py @@ -0,0 +1,257 @@ +"""Fidelity brokerage CSV parser.""" +from pathlib import Path +from typing import List, Dict, Any +import pandas as pd +from datetime import datetime +import re + +from app.parsers.base_parser import BaseParser, ParseResult + + +class FidelityParser(BaseParser): + """ + Parser for Fidelity brokerage account history CSV files. + + Expected CSV columns: + - Run Date + - Action + - Symbol + - Description + - Type + - Exchange Quantity + - Exchange Currency + - Currency + - Price + - Quantity + - Exchange Rate + - Commission + - Fees + - Accrued Interest + - Amount + - Cash Balance + - Settlement Date + """ + + # Expected column names in Fidelity CSV + EXPECTED_COLUMNS = [ + "Run Date", + "Action", + "Symbol", + "Description", + "Type", + "Exchange Quantity", + "Exchange Currency", + "Currency", + "Price", + "Quantity", + "Exchange Rate", + "Commission", + "Fees", + "Accrued Interest", + "Amount", + "Cash Balance", + "Settlement Date", + ] + + def parse(self, file_path: Path) -> ParseResult: + """ + Parse a Fidelity CSV file into standardized transaction dictionaries. + + Args: + file_path: Path to the Fidelity CSV file + + Returns: + ParseResult containing parsed transactions, errors, and row count + + Raises: + FileNotFoundError: If the file does not exist + ValueError: If the CSV format is invalid + """ + errors = [] + transactions = [] + + try: + # Read CSV, skipping empty rows at the beginning + df = self._read_csv(file_path, skiprows=self._find_header_row(file_path)) + + # Validate columns + missing_cols = set(self.EXPECTED_COLUMNS) - set(df.columns) + if missing_cols: + raise ValueError(f"Missing required columns: {missing_cols}") + + # Parse each row + for idx, row in df.iterrows(): + try: + transaction = self._parse_row(row) + if transaction: + transactions.append(transaction) + except Exception as e: + errors.append(f"Row {idx + 1}: {str(e)}") + + return ParseResult( + transactions=transactions, errors=errors, row_count=len(df) + ) + + except FileNotFoundError as e: + raise e + except Exception as e: + raise ValueError(f"Failed to parse Fidelity CSV: {str(e)}") + + def _find_header_row(self, file_path: Path) -> int: + """ + Find the row number where the header starts in Fidelity CSV. + + Fidelity CSVs may have empty rows or metadata at the beginning. + + Args: + file_path: Path to CSV file + + Returns: + Row number (0-indexed) where the header is located + """ + with open(file_path, "r", encoding="utf-8-sig") as f: + for i, line in enumerate(f): + if "Run Date" in line: + return i + return 0 # Default to first row if not found + + def _extract_real_ticker(self, symbol: str, description: str, action: str) -> str: + """ + Extract the real underlying ticker from option descriptions. + + Fidelity uses internal reference numbers (like 6736999MM) in the Symbol column + for options, but the real ticker is in the Description/Action in parentheses. + + Examples: + - Description: "CALL (OPEN) OPENDOOR JAN 16 26 (100 SHS)" + - Action: "YOU SOLD CLOSING TRANSACTION CALL (OPEN) OPENDOOR..." + + Args: + symbol: Symbol from CSV (might be Fidelity internal reference) + description: Description field + action: Action field + + Returns: + Real ticker symbol, or original symbol if not found + """ + # If symbol looks normal (letters only, not Fidelity's numeric codes), return it + if symbol and re.match(r'^[A-Z]{1,5}$', symbol): + return symbol + + # Try to extract from description first (more reliable) + # Pattern: (TICKER) or CALL (TICKER) or PUT (TICKER) + if description: + # Look for pattern like "CALL (OPEN)" or "PUT (AAPL)" + match = re.search(r'(?:CALL|PUT)\s*\(([A-Z]+)\)', description, re.IGNORECASE) + if match: + return match.group(1) + + # Look for standalone (TICKER) pattern + match = re.search(r'\(([A-Z]{1,5})\)', description) + if match: + ticker = match.group(1) + # Make sure it's not something like (100 or (Margin) + if not ticker.isdigit() and ticker not in ['MARGIN', 'CASH', 'SHS']: + return ticker + + # Fall back to action field + if action: + match = re.search(r'(?:CALL|PUT)\s*\(([A-Z]+)\)', action, re.IGNORECASE) + if match: + return match.group(1) + + # Return original symbol if we couldn't extract anything better + return symbol if symbol else None + + def _parse_row(self, row: pd.Series) -> Dict[str, Any]: + """ + Parse a single row from Fidelity CSV into a transaction dictionary. + + Args: + row: Pandas Series representing one CSV row + + Returns: + Dictionary with transaction data, or None if row should be skipped + + Raises: + ValueError: If required fields are missing or invalid + """ + # Parse dates + run_date = self._parse_date(row["Run Date"]) + settlement_date = self._parse_date(row["Settlement Date"]) + + # Extract raw values + raw_symbol = self._safe_string(row["Symbol"]) + description = self._safe_string(row["Description"]) + action = str(row["Action"]).strip() if pd.notna(row["Action"]) else "" + + # Extract the real ticker (especially important for options) + actual_symbol = self._extract_real_ticker(raw_symbol, description, action) + + # Extract and clean values + transaction = { + "run_date": run_date, + "action": action, + "symbol": actual_symbol, + "description": description, + "transaction_type": self._safe_string(row["Type"]), + "exchange_quantity": self._safe_decimal(row["Exchange Quantity"]), + "exchange_currency": self._safe_string(row["Exchange Currency"]), + "currency": self._safe_string(row["Currency"]), + "price": self._safe_decimal(row["Price"]), + "quantity": self._safe_decimal(row["Quantity"]), + "exchange_rate": self._safe_decimal(row["Exchange Rate"]), + "commission": self._safe_decimal(row["Commission"]), + "fees": self._safe_decimal(row["Fees"]), + "accrued_interest": self._safe_decimal(row["Accrued Interest"]), + "amount": self._safe_decimal(row["Amount"]), + "cash_balance": self._safe_decimal(row["Cash Balance"]), + "settlement_date": settlement_date, + } + + return transaction + + def _parse_date(self, date_value: Any) -> Any: + """ + Parse date value from CSV, handling various formats. + + Args: + date_value: Date value from CSV (string or datetime) + + Returns: + datetime.date object or None if empty/invalid + """ + if pd.isna(date_value) or date_value == "": + return None + + # If already a datetime object + if isinstance(date_value, datetime): + return date_value.date() + + # Try parsing common date formats + date_str = str(date_value).strip() + if not date_str: + return None + + # Try common formats + for fmt in ["%m/%d/%Y", "%Y-%m-%d", "%m-%d-%Y"]: + try: + return datetime.strptime(date_str, fmt).date() + except ValueError: + continue + + return None + + def _safe_string(self, value: Any) -> str: + """ + Safely convert value to string, handling NaN and empty values. + + Args: + value: Value to convert + + Returns: + String value or None if empty + """ + if pd.isna(value) or value == "": + return None + return str(value).strip() diff --git a/backend/app/schemas/__init__.py b/backend/app/schemas/__init__.py new file mode 100644 index 0000000..0c0193d --- /dev/null +++ b/backend/app/schemas/__init__.py @@ -0,0 +1,14 @@ +"""Pydantic schemas for API request/response validation.""" +from app.schemas.account import AccountCreate, AccountUpdate, AccountResponse +from app.schemas.transaction import TransactionCreate, TransactionResponse +from app.schemas.position import PositionResponse, PositionStats + +__all__ = [ + "AccountCreate", + "AccountUpdate", + "AccountResponse", + "TransactionCreate", + "TransactionResponse", + "PositionResponse", + "PositionStats", +] diff --git a/backend/app/schemas/account.py b/backend/app/schemas/account.py new file mode 100644 index 0000000..5d1a701 --- /dev/null +++ b/backend/app/schemas/account.py @@ -0,0 +1,34 @@ +"""Pydantic schemas for account-related API operations.""" +from pydantic import BaseModel, Field +from datetime import datetime +from typing import Optional + +from app.models.account import AccountType + + +class AccountBase(BaseModel): + """Base schema for account data.""" + account_number: str = Field(..., description="Unique account identifier") + account_name: str = Field(..., description="Human-readable account name") + account_type: AccountType = Field(default=AccountType.CASH, description="Account type") + + +class AccountCreate(AccountBase): + """Schema for creating a new account.""" + pass + + +class AccountUpdate(BaseModel): + """Schema for updating an existing account.""" + account_name: Optional[str] = Field(None, description="Updated account name") + account_type: Optional[AccountType] = Field(None, description="Updated account type") + + +class AccountResponse(AccountBase): + """Schema for account API responses.""" + id: int + created_at: datetime + updated_at: datetime + + class Config: + from_attributes = True diff --git a/backend/app/schemas/position.py b/backend/app/schemas/position.py new file mode 100644 index 0000000..eb96fef --- /dev/null +++ b/backend/app/schemas/position.py @@ -0,0 +1,45 @@ +"""Pydantic schemas for position-related API operations.""" +from pydantic import BaseModel, Field +from datetime import date, datetime +from typing import Optional +from decimal import Decimal + +from app.models.position import PositionType, PositionStatus + + +class PositionBase(BaseModel): + """Base schema for position data.""" + symbol: str + option_symbol: Optional[str] = None + position_type: PositionType + status: PositionStatus + open_date: date + close_date: Optional[date] = None + total_quantity: Decimal + avg_entry_price: Optional[Decimal] = None + avg_exit_price: Optional[Decimal] = None + realized_pnl: Optional[Decimal] = None + unrealized_pnl: Optional[Decimal] = None + + +class PositionResponse(PositionBase): + """Schema for position API responses.""" + id: int + account_id: int + created_at: datetime + updated_at: datetime + + class Config: + from_attributes = True + + +class PositionStats(BaseModel): + """Schema for aggregate position statistics.""" + total_positions: int = Field(..., description="Total number of positions") + open_positions: int = Field(..., description="Number of open positions") + closed_positions: int = Field(..., description="Number of closed positions") + total_realized_pnl: Decimal = Field(..., description="Total realized P&L") + total_unrealized_pnl: Decimal = Field(..., description="Total unrealized P&L") + win_rate: float = Field(..., description="Percentage of profitable trades") + avg_win: Decimal = Field(..., description="Average profit on winning trades") + avg_loss: Decimal = Field(..., description="Average loss on losing trades") diff --git a/backend/app/schemas/transaction.py b/backend/app/schemas/transaction.py new file mode 100644 index 0000000..6e0c0d9 --- /dev/null +++ b/backend/app/schemas/transaction.py @@ -0,0 +1,44 @@ +"""Pydantic schemas for transaction-related API operations.""" +from pydantic import BaseModel, Field +from datetime import date, datetime +from typing import Optional +from decimal import Decimal + + +class TransactionBase(BaseModel): + """Base schema for transaction data.""" + run_date: date + action: str + symbol: Optional[str] = None + description: Optional[str] = None + transaction_type: Optional[str] = None + exchange_quantity: Optional[Decimal] = None + exchange_currency: Optional[str] = None + currency: Optional[str] = None + price: Optional[Decimal] = None + quantity: Optional[Decimal] = None + exchange_rate: Optional[Decimal] = None + commission: Optional[Decimal] = None + fees: Optional[Decimal] = None + accrued_interest: Optional[Decimal] = None + amount: Optional[Decimal] = None + cash_balance: Optional[Decimal] = None + settlement_date: Optional[date] = None + + +class TransactionCreate(TransactionBase): + """Schema for creating a new transaction.""" + account_id: int + unique_hash: str + + +class TransactionResponse(TransactionBase): + """Schema for transaction API responses.""" + id: int + account_id: int + unique_hash: str + created_at: datetime + updated_at: datetime + + class Config: + from_attributes = True diff --git a/backend/app/services/__init__.py b/backend/app/services/__init__.py new file mode 100644 index 0000000..0bd5904 --- /dev/null +++ b/backend/app/services/__init__.py @@ -0,0 +1,6 @@ +"""Business logic services.""" +from app.services.import_service import ImportService, ImportResult +from app.services.position_tracker import PositionTracker +from app.services.performance_calculator import PerformanceCalculator + +__all__ = ["ImportService", "ImportResult", "PositionTracker", "PerformanceCalculator"] diff --git a/backend/app/services/import_service.py b/backend/app/services/import_service.py new file mode 100644 index 0000000..3142040 --- /dev/null +++ b/backend/app/services/import_service.py @@ -0,0 +1,149 @@ +"""Service for importing transactions from CSV files.""" +from pathlib import Path +from typing import List, Dict, Any, NamedTuple +from sqlalchemy.orm import Session +from sqlalchemy.exc import IntegrityError + +from app.parsers import FidelityParser +from app.models import Transaction +from app.utils import generate_transaction_hash + + +class ImportResult(NamedTuple): + """ + Result of an import operation. + + Attributes: + imported: Number of successfully imported transactions + skipped: Number of skipped duplicate transactions + errors: List of error messages + total_rows: Total number of rows processed + """ + imported: int + skipped: int + errors: List[str] + total_rows: int + + +class ImportService: + """ + Service for importing transactions from brokerage CSV files. + + Handles parsing, deduplication, and database insertion. + """ + + def __init__(self, db: Session): + """ + Initialize import service. + + Args: + db: Database session + """ + self.db = db + self.parser = FidelityParser() # Can be extended to support multiple parsers + + def import_from_file(self, file_path: Path, account_id: int) -> ImportResult: + """ + Import transactions from a CSV file. + + Args: + file_path: Path to CSV file + account_id: ID of the account to import transactions for + + Returns: + ImportResult with statistics + + Raises: + FileNotFoundError: If file doesn't exist + ValueError: If file format is invalid + """ + # Parse CSV file + parse_result = self.parser.parse(file_path) + + imported = 0 + skipped = 0 + errors = list(parse_result.errors) + + # Process each transaction + for txn_data in parse_result.transactions: + try: + # Generate deduplication hash + unique_hash = generate_transaction_hash( + account_id=account_id, + run_date=txn_data["run_date"], + symbol=txn_data.get("symbol"), + action=txn_data["action"], + amount=txn_data.get("amount"), + quantity=txn_data.get("quantity"), + price=txn_data.get("price"), + ) + + # Check if transaction already exists + existing = ( + self.db.query(Transaction) + .filter(Transaction.unique_hash == unique_hash) + .first() + ) + + if existing: + skipped += 1 + continue + + # Create new transaction + transaction = Transaction( + account_id=account_id, + unique_hash=unique_hash, + **txn_data + ) + + self.db.add(transaction) + self.db.commit() + imported += 1 + + except IntegrityError: + # Duplicate hash (edge case if concurrent imports) + self.db.rollback() + skipped += 1 + except Exception as e: + self.db.rollback() + errors.append(f"Failed to import transaction: {str(e)}") + + return ImportResult( + imported=imported, + skipped=skipped, + errors=errors, + total_rows=parse_result.row_count, + ) + + def import_from_directory( + self, directory: Path, account_id: int, pattern: str = "*.csv" + ) -> Dict[str, ImportResult]: + """ + Import transactions from all CSV files in a directory. + + Args: + directory: Path to directory containing CSV files + account_id: ID of the account to import transactions for + pattern: Glob pattern for matching files (default: *.csv) + + Returns: + Dictionary mapping filename to ImportResult + """ + if not directory.exists() or not directory.is_dir(): + raise ValueError(f"Invalid directory: {directory}") + + results = {} + + for file_path in directory.glob(pattern): + try: + result = self.import_from_file(file_path, account_id) + results[file_path.name] = result + except Exception as e: + results[file_path.name] = ImportResult( + imported=0, + skipped=0, + errors=[str(e)], + total_rows=0, + ) + + return results diff --git a/backend/app/services/market_data_service.py b/backend/app/services/market_data_service.py new file mode 100644 index 0000000..1c77848 --- /dev/null +++ b/backend/app/services/market_data_service.py @@ -0,0 +1,330 @@ +""" +Market data service with rate limiting, caching, and batch processing. + +This service handles fetching market prices from Yahoo Finance with: +- Database-backed caching to survive restarts +- Rate limiting with exponential backoff +- Batch processing to reduce API calls +- Stale-while-revalidate pattern for better UX +""" +import time +import yfinance as yf +from sqlalchemy.orm import Session +from sqlalchemy import and_ +from typing import Dict, List, Optional +from decimal import Decimal +from datetime import datetime, timedelta +import logging + +from app.models.market_price import MarketPrice + +logger = logging.getLogger(__name__) + + +class MarketDataService: + """Service for fetching and caching market prices with rate limiting.""" + + def __init__(self, db: Session, cache_ttl_seconds: int = 300): + """ + Initialize market data service. + + Args: + db: Database session + cache_ttl_seconds: How long cached prices are considered fresh (default: 5 minutes) + """ + self.db = db + self.cache_ttl = cache_ttl_seconds + self._rate_limit_delay = 0.5 # Start with 500ms between requests + self._last_request_time = 0.0 + self._consecutive_errors = 0 + self._max_retries = 3 + + @staticmethod + def _is_valid_stock_symbol(symbol: str) -> bool: + """ + Check if a symbol is a valid stock ticker (not an option symbol or CUSIP). + + Args: + symbol: Symbol to check + + Returns: + True if it looks like a valid stock ticker + """ + if not symbol or len(symbol) > 5: + return False + + # Stock symbols should start with a letter, not a number + # Numbers indicate CUSIP codes or option symbols + if symbol[0].isdigit(): + return False + + # Should be mostly uppercase letters + # Allow $ for preferred shares (e.g., BRK.B becomes BRK-B) + return symbol.replace('-', '').replace('.', '').isalpha() + + def get_price(self, symbol: str, allow_stale: bool = True) -> Optional[Decimal]: + """ + Get current price for a symbol with caching. + + Args: + symbol: Stock ticker symbol + allow_stale: If True, return stale cache data instead of None + + Returns: + Price or None if unavailable + """ + # Skip invalid symbols (option symbols, CUSIPs, etc.) + if not self._is_valid_stock_symbol(symbol): + logger.debug(f"Skipping invalid symbol: {symbol} (not a stock ticker)") + return None + + # Check database cache first + cached = self._get_cached_price(symbol) + + if cached: + price, age_seconds = cached + if age_seconds < self.cache_ttl: + # Fresh cache hit + logger.debug(f"Cache HIT (fresh): {symbol} = ${price} (age: {age_seconds}s)") + return price + elif allow_stale: + # Stale cache hit, but we'll return it + logger.debug(f"Cache HIT (stale): {symbol} = ${price} (age: {age_seconds}s)") + return price + + # Cache miss or expired - fetch from Yahoo Finance + logger.info(f"Cache MISS: {symbol}, fetching from Yahoo Finance...") + fresh_price = self._fetch_from_yahoo(symbol) + + if fresh_price is not None: + self._update_cache(symbol, fresh_price) + return fresh_price + + # If fetch failed and we have stale data, return it + if cached and allow_stale: + price, age_seconds = cached + logger.warning(f"Yahoo fetch failed, using stale cache: {symbol} = ${price} (age: {age_seconds}s)") + return price + + return None + + def get_prices_batch( + self, + symbols: List[str], + allow_stale: bool = True, + max_fetches: int = 10 + ) -> Dict[str, Optional[Decimal]]: + """ + Get prices for multiple symbols with rate limiting. + + Args: + symbols: List of ticker symbols + allow_stale: Return stale cache data if available + max_fetches: Maximum number of API calls to make (remaining use cache) + + Returns: + Dictionary mapping symbol to price (or None if unavailable) + """ + results = {} + symbols_to_fetch = [] + + # First pass: Check cache for all symbols + for symbol in symbols: + # Skip invalid symbols + if not self._is_valid_stock_symbol(symbol): + logger.debug(f"Skipping invalid symbol in batch: {symbol}") + results[symbol] = None + continue + cached = self._get_cached_price(symbol) + + if cached: + price, age_seconds = cached + if age_seconds < self.cache_ttl: + # Fresh cache - use it + results[symbol] = price + elif allow_stale: + # Stale but usable + results[symbol] = price + if age_seconds < self.cache_ttl * 2: # Not TOO stale + symbols_to_fetch.append(symbol) + else: + # Stale and not allowing stale - need to fetch + symbols_to_fetch.append(symbol) + else: + # No cache at all + symbols_to_fetch.append(symbol) + + # Second pass: Fetch missing/stale symbols (with limit) + if symbols_to_fetch: + logger.info(f"Batch fetching {len(symbols_to_fetch)} symbols (max: {max_fetches})") + + for i, symbol in enumerate(symbols_to_fetch[:max_fetches]): + if i > 0: + # Rate limiting delay + time.sleep(self._rate_limit_delay) + + price = self._fetch_from_yahoo(symbol) + if price is not None: + results[symbol] = price + self._update_cache(symbol, price) + elif symbol not in results: + # No cached value and fetch failed + results[symbol] = None + + return results + + def refresh_stale_prices(self, min_age_seconds: int = 300, limit: int = 20) -> int: + """ + Background task to refresh stale prices. + + Args: + min_age_seconds: Only refresh prices older than this + limit: Maximum number of prices to refresh + + Returns: + Number of prices refreshed + """ + cutoff_time = datetime.utcnow() - timedelta(seconds=min_age_seconds) + + # Get stale prices ordered by oldest first + stale_prices = ( + self.db.query(MarketPrice) + .filter(MarketPrice.fetched_at < cutoff_time) + .order_by(MarketPrice.fetched_at.asc()) + .limit(limit) + .all() + ) + + refreshed = 0 + for cached_price in stale_prices: + time.sleep(self._rate_limit_delay) + + fresh_price = self._fetch_from_yahoo(cached_price.symbol) + if fresh_price is not None: + self._update_cache(cached_price.symbol, fresh_price) + refreshed += 1 + + logger.info(f"Refreshed {refreshed}/{len(stale_prices)} stale prices") + return refreshed + + def _get_cached_price(self, symbol: str) -> Optional[tuple[Decimal, float]]: + """ + Get cached price from database. + + Returns: + Tuple of (price, age_in_seconds) or None if not cached + """ + cached = ( + self.db.query(MarketPrice) + .filter(MarketPrice.symbol == symbol) + .first() + ) + + if cached: + age = (datetime.utcnow() - cached.fetched_at).total_seconds() + return (cached.price, age) + + return None + + def _update_cache(self, symbol: str, price: Decimal) -> None: + """Update or insert price in database cache.""" + cached = ( + self.db.query(MarketPrice) + .filter(MarketPrice.symbol == symbol) + .first() + ) + + if cached: + cached.price = price + cached.fetched_at = datetime.utcnow() + else: + new_price = MarketPrice( + symbol=symbol, + price=price, + fetched_at=datetime.utcnow() + ) + self.db.add(new_price) + + self.db.commit() + + def _fetch_from_yahoo(self, symbol: str) -> Optional[Decimal]: + """ + Fetch price from Yahoo Finance with rate limiting and retries. + + Returns: + Price or None if fetch failed + """ + for attempt in range(self._max_retries): + try: + # Rate limiting + elapsed = time.time() - self._last_request_time + if elapsed < self._rate_limit_delay: + time.sleep(self._rate_limit_delay - elapsed) + + self._last_request_time = time.time() + + # Fetch from Yahoo + ticker = yf.Ticker(symbol) + info = ticker.info + + # Try different price fields + for field in ["currentPrice", "regularMarketPrice", "previousClose"]: + if field in info and info[field]: + price = Decimal(str(info[field])) + + # Success - reset error tracking + self._consecutive_errors = 0 + self._rate_limit_delay = max(0.5, self._rate_limit_delay * 0.9) # Gradually decrease delay + + logger.debug(f"Fetched {symbol} = ${price}") + return price + + # No price found in response + logger.warning(f"No price data in Yahoo response for {symbol}") + return None + + except Exception as e: + error_str = str(e).lower() + + if "429" in error_str or "too many requests" in error_str: + # Rate limit hit - back off exponentially + self._consecutive_errors += 1 + self._rate_limit_delay = min(10.0, self._rate_limit_delay * 2) # Double delay, max 10s + + logger.warning( + f"Rate limit hit for {symbol} (attempt {attempt + 1}/{self._max_retries}), " + f"backing off to {self._rate_limit_delay}s delay" + ) + + if attempt < self._max_retries - 1: + time.sleep(self._rate_limit_delay * (attempt + 1)) # Longer wait for retries + continue + else: + # Other error + logger.error(f"Error fetching {symbol}: {e}") + return None + + logger.error(f"Failed to fetch {symbol} after {self._max_retries} attempts") + return None + + def clear_cache(self, older_than_days: int = 30) -> int: + """ + Clear old cached prices. + + Args: + older_than_days: Delete prices older than this many days + + Returns: + Number of records deleted + """ + cutoff = datetime.utcnow() - timedelta(days=older_than_days) + + deleted = ( + self.db.query(MarketPrice) + .filter(MarketPrice.fetched_at < cutoff) + .delete() + ) + + self.db.commit() + logger.info(f"Cleared {deleted} cached prices older than {older_than_days} days") + return deleted diff --git a/backend/app/services/performance_calculator.py b/backend/app/services/performance_calculator.py new file mode 100644 index 0000000..11efc03 --- /dev/null +++ b/backend/app/services/performance_calculator.py @@ -0,0 +1,364 @@ +"""Service for calculating performance metrics and unrealized P&L.""" +from sqlalchemy.orm import Session +from sqlalchemy import and_, func +from typing import Dict, Optional +from decimal import Decimal +from datetime import datetime, timedelta +import yfinance as yf +from functools import lru_cache + +from app.models import Position, Transaction +from app.models.position import PositionStatus + + +class PerformanceCalculator: + """ + Service for calculating performance metrics and market data. + + Integrates with Yahoo Finance API for real-time pricing of open positions. + """ + + def __init__(self, db: Session, cache_ttl: int = 60): + """ + Initialize performance calculator. + + Args: + db: Database session + cache_ttl: Cache time-to-live in seconds (default: 60) + """ + self.db = db + self.cache_ttl = cache_ttl + self._price_cache: Dict[str, tuple[Decimal, datetime]] = {} + + def calculate_unrealized_pnl(self, position: Position) -> Optional[Decimal]: + """ + Calculate unrealized P&L for an open position. + + Args: + position: Open position to calculate P&L for + + Returns: + Unrealized P&L or None if market data unavailable + """ + if position.status != PositionStatus.OPEN: + return None + + # Get current market price + current_price = self.get_current_price(position.symbol) + if current_price is None: + return None + + if position.avg_entry_price is None: + return None + + # Calculate P&L based on position direction + quantity = abs(position.total_quantity) + is_short = position.total_quantity < 0 + + if is_short: + # Short position: profit when price decreases + pnl = (position.avg_entry_price - current_price) * quantity * 100 + else: + # Long position: profit when price increases + pnl = (current_price - position.avg_entry_price) * quantity * 100 + + # Subtract fees and commissions from opening transactions + total_fees = Decimal("0") + for link in position.transaction_links: + txn = link.transaction + if txn.commission: + total_fees += txn.commission + if txn.fees: + total_fees += txn.fees + + pnl -= total_fees + + return pnl + + def update_open_positions_pnl(self, account_id: int) -> int: + """ + Update unrealized P&L for all open positions in an account. + + Args: + account_id: Account ID to update + + Returns: + Number of positions updated + """ + open_positions = ( + self.db.query(Position) + .filter( + and_( + Position.account_id == account_id, + Position.status == PositionStatus.OPEN, + ) + ) + .all() + ) + + updated = 0 + for position in open_positions: + unrealized_pnl = self.calculate_unrealized_pnl(position) + if unrealized_pnl is not None: + position.unrealized_pnl = unrealized_pnl + updated += 1 + + self.db.commit() + return updated + + def get_current_price(self, symbol: str) -> Optional[Decimal]: + """ + Get current market price for a symbol. + + Uses Yahoo Finance API with caching to reduce API calls. + + Args: + symbol: Stock ticker symbol + + Returns: + Current price or None if unavailable + """ + # Check cache + if symbol in self._price_cache: + price, timestamp = self._price_cache[symbol] + if datetime.now() - timestamp < timedelta(seconds=self.cache_ttl): + return price + + # Fetch from Yahoo Finance + try: + ticker = yf.Ticker(symbol) + info = ticker.info + + # Try different price fields + current_price = None + for field in ["currentPrice", "regularMarketPrice", "previousClose"]: + if field in info and info[field]: + current_price = Decimal(str(info[field])) + break + + if current_price is not None: + # Cache the price + self._price_cache[symbol] = (current_price, datetime.now()) + return current_price + + except Exception: + # Failed to fetch price + pass + + return None + + def calculate_account_stats(self, account_id: int) -> Dict: + """ + Calculate aggregate statistics for an account. + + Args: + account_id: Account ID + + Returns: + Dictionary with performance metrics + """ + # Get all positions + positions = ( + self.db.query(Position) + .filter(Position.account_id == account_id) + .all() + ) + + total_positions = len(positions) + open_positions_count = sum( + 1 for p in positions if p.status == PositionStatus.OPEN + ) + closed_positions_count = sum( + 1 for p in positions if p.status == PositionStatus.CLOSED + ) + + # Calculate P&L + total_realized_pnl = sum( + (p.realized_pnl or Decimal("0")) + for p in positions + if p.status == PositionStatus.CLOSED + ) + + # Update unrealized P&L for open positions + self.update_open_positions_pnl(account_id) + + total_unrealized_pnl = sum( + (p.unrealized_pnl or Decimal("0")) + for p in positions + if p.status == PositionStatus.OPEN + ) + + # Calculate win rate and average win/loss + closed_with_pnl = [ + p for p in positions + if p.status == PositionStatus.CLOSED and p.realized_pnl is not None + ] + + if closed_with_pnl: + winning_trades = [p for p in closed_with_pnl if p.realized_pnl > 0] + losing_trades = [p for p in closed_with_pnl if p.realized_pnl < 0] + + win_rate = (len(winning_trades) / len(closed_with_pnl)) * 100 + + avg_win = ( + sum(p.realized_pnl for p in winning_trades) / len(winning_trades) + if winning_trades + else Decimal("0") + ) + + avg_loss = ( + sum(p.realized_pnl for p in losing_trades) / len(losing_trades) + if losing_trades + else Decimal("0") + ) + else: + win_rate = 0.0 + avg_win = Decimal("0") + avg_loss = Decimal("0") + + # Get current account balance from latest transaction + latest_txn = ( + self.db.query(Transaction) + .filter(Transaction.account_id == account_id) + .order_by(Transaction.run_date.desc(), Transaction.id.desc()) + .first() + ) + + current_balance = ( + latest_txn.cash_balance if latest_txn and latest_txn.cash_balance else Decimal("0") + ) + + return { + "total_positions": total_positions, + "open_positions": open_positions_count, + "closed_positions": closed_positions_count, + "total_realized_pnl": float(total_realized_pnl), + "total_unrealized_pnl": float(total_unrealized_pnl), + "total_pnl": float(total_realized_pnl + total_unrealized_pnl), + "win_rate": float(win_rate), + "avg_win": float(avg_win), + "avg_loss": float(avg_loss), + "current_balance": float(current_balance), + } + + def get_balance_history( + self, account_id: int, days: int = 30 + ) -> list[Dict]: + """ + Get account balance history for charting. + + Args: + account_id: Account ID + days: Number of days to retrieve + + Returns: + List of {date, balance} dictionaries + """ + cutoff_date = datetime.now().date() - timedelta(days=days) + + transactions = ( + self.db.query(Transaction.run_date, Transaction.cash_balance) + .filter( + and_( + Transaction.account_id == account_id, + Transaction.run_date >= cutoff_date, + Transaction.cash_balance.isnot(None), + ) + ) + .order_by(Transaction.run_date) + .all() + ) + + # Get one balance per day (use last transaction of the day) + daily_balances = {} + for txn in transactions: + daily_balances[txn.run_date] = float(txn.cash_balance) + + return [ + {"date": date.isoformat(), "balance": balance} + for date, balance in sorted(daily_balances.items()) + ] + + def get_top_trades( + self, account_id: int, limit: int = 10 + ) -> list[Dict]: + """ + Get top performing trades (by realized P&L). + + Args: + account_id: Account ID + limit: Maximum number of trades to return + + Returns: + List of trade dictionaries + """ + positions = ( + self.db.query(Position) + .filter( + and_( + Position.account_id == account_id, + Position.status == PositionStatus.CLOSED, + Position.realized_pnl.isnot(None), + ) + ) + .order_by(Position.realized_pnl.desc()) + .limit(limit) + .all() + ) + + return [ + { + "symbol": p.symbol, + "option_symbol": p.option_symbol, + "position_type": p.position_type.value, + "open_date": p.open_date.isoformat(), + "close_date": p.close_date.isoformat() if p.close_date else None, + "quantity": float(p.total_quantity), + "entry_price": float(p.avg_entry_price) if p.avg_entry_price else None, + "exit_price": float(p.avg_exit_price) if p.avg_exit_price else None, + "realized_pnl": float(p.realized_pnl), + } + for p in positions + ] + + def get_worst_trades( + self, account_id: int, limit: int = 20 + ) -> list[Dict]: + """ + Get worst performing trades (biggest losses by realized P&L). + + Args: + account_id: Account ID + limit: Maximum number of trades to return + + Returns: + List of trade dictionaries + """ + positions = ( + self.db.query(Position) + .filter( + and_( + Position.account_id == account_id, + Position.status == PositionStatus.CLOSED, + Position.realized_pnl.isnot(None), + ) + ) + .order_by(Position.realized_pnl.asc()) + .limit(limit) + .all() + ) + + return [ + { + "symbol": p.symbol, + "option_symbol": p.option_symbol, + "position_type": p.position_type.value, + "open_date": p.open_date.isoformat(), + "close_date": p.close_date.isoformat() if p.close_date else None, + "quantity": float(p.total_quantity), + "entry_price": float(p.avg_entry_price) if p.avg_entry_price else None, + "exit_price": float(p.avg_exit_price) if p.avg_exit_price else None, + "realized_pnl": float(p.realized_pnl), + } + for p in positions + ] diff --git a/backend/app/services/performance_calculator_v2.py b/backend/app/services/performance_calculator_v2.py new file mode 100644 index 0000000..836b370 --- /dev/null +++ b/backend/app/services/performance_calculator_v2.py @@ -0,0 +1,433 @@ +""" +Improved performance calculator with rate-limited market data fetching. + +This version uses the MarketDataService for efficient, cached price lookups. +""" +from sqlalchemy.orm import Session +from sqlalchemy import and_ +from typing import Dict, Optional +from decimal import Decimal +from datetime import datetime, timedelta +import logging + +from app.models import Position, Transaction +from app.models.position import PositionStatus +from app.services.market_data_service import MarketDataService + +logger = logging.getLogger(__name__) + + +class PerformanceCalculatorV2: + """ + Enhanced performance calculator with efficient market data handling. + + Features: + - Database-backed price caching + - Rate-limited API calls + - Batch price fetching + - Stale-while-revalidate pattern + """ + + def __init__(self, db: Session, cache_ttl: int = 300): + """ + Initialize performance calculator. + + Args: + db: Database session + cache_ttl: Cache time-to-live in seconds (default: 5 minutes) + """ + self.db = db + self.market_data = MarketDataService(db, cache_ttl_seconds=cache_ttl) + + def calculate_unrealized_pnl(self, position: Position, current_price: Optional[Decimal] = None) -> Optional[Decimal]: + """ + Calculate unrealized P&L for an open position. + + Args: + position: Open position to calculate P&L for + current_price: Optional pre-fetched current price (avoids API call) + + Returns: + Unrealized P&L or None if market data unavailable + """ + if position.status != PositionStatus.OPEN: + return None + + # Use provided price or fetch it + if current_price is None: + current_price = self.market_data.get_price(position.symbol, allow_stale=True) + + if current_price is None or position.avg_entry_price is None: + return None + + # Calculate P&L based on position direction + quantity = abs(position.total_quantity) + is_short = position.total_quantity < 0 + + if is_short: + # Short position: profit when price decreases + pnl = (position.avg_entry_price - current_price) * quantity * 100 + else: + # Long position: profit when price increases + pnl = (current_price - position.avg_entry_price) * quantity * 100 + + # Subtract fees and commissions from opening transactions + total_fees = Decimal("0") + for link in position.transaction_links: + txn = link.transaction + if txn.commission: + total_fees += txn.commission + if txn.fees: + total_fees += txn.fees + + pnl -= total_fees + + return pnl + + def update_open_positions_pnl( + self, + account_id: int, + max_api_calls: int = 10, + allow_stale: bool = True + ) -> Dict[str, int]: + """ + Update unrealized P&L for all open positions in an account. + + Uses batch fetching with rate limiting to avoid overwhelming Yahoo Finance API. + + Args: + account_id: Account ID to update + max_api_calls: Maximum number of Yahoo Finance API calls to make + allow_stale: Allow using stale cached prices + + Returns: + Dictionary with update statistics + """ + open_positions = ( + self.db.query(Position) + .filter( + and_( + Position.account_id == account_id, + Position.status == PositionStatus.OPEN, + ) + ) + .all() + ) + + if not open_positions: + return { + "total": 0, + "updated": 0, + "cached": 0, + "failed": 0 + } + + # Get unique symbols + symbols = list(set(p.symbol for p in open_positions)) + + logger.info(f"Updating P&L for {len(open_positions)} positions across {len(symbols)} symbols") + + # Fetch prices in batch + prices = self.market_data.get_prices_batch( + symbols, + allow_stale=allow_stale, + max_fetches=max_api_calls + ) + + # Update P&L for each position + updated = 0 + cached = 0 + failed = 0 + + for position in open_positions: + price = prices.get(position.symbol) + + if price is not None: + unrealized_pnl = self.calculate_unrealized_pnl(position, current_price=price) + + if unrealized_pnl is not None: + position.unrealized_pnl = unrealized_pnl + updated += 1 + + # Check if price was from cache (age > 0) or fresh fetch + cached_info = self.market_data._get_cached_price(position.symbol) + if cached_info: + _, age = cached_info + if age < self.market_data.cache_ttl: + cached += 1 + else: + failed += 1 + else: + failed += 1 + logger.warning(f"Could not get price for {position.symbol}") + + self.db.commit() + + logger.info( + f"Updated {updated}/{len(open_positions)} positions " + f"(cached: {cached}, failed: {failed})" + ) + + return { + "total": len(open_positions), + "updated": updated, + "cached": cached, + "failed": failed + } + + def calculate_account_stats( + self, + account_id: int, + update_prices: bool = True, + max_api_calls: int = 10, + start_date = None, + end_date = None + ) -> Dict: + """ + Calculate aggregate statistics for an account. + + Args: + account_id: Account ID + update_prices: Whether to fetch fresh prices (if False, uses cached only) + max_api_calls: Maximum number of Yahoo Finance API calls + start_date: Filter positions opened on or after this date + end_date: Filter positions opened on or before this date + + Returns: + Dictionary with performance metrics + """ + # Get all positions with optional date filtering + query = self.db.query(Position).filter(Position.account_id == account_id) + + if start_date: + query = query.filter(Position.open_date >= start_date) + if end_date: + query = query.filter(Position.open_date <= end_date) + + positions = query.all() + + total_positions = len(positions) + open_positions_count = sum( + 1 for p in positions if p.status == PositionStatus.OPEN + ) + closed_positions_count = sum( + 1 for p in positions if p.status == PositionStatus.CLOSED + ) + + # Calculate realized P&L (doesn't need market data) + total_realized_pnl = sum( + (p.realized_pnl or Decimal("0")) + for p in positions + if p.status == PositionStatus.CLOSED + ) + + # Update unrealized P&L for open positions + update_stats = None + if update_prices and open_positions_count > 0: + update_stats = self.update_open_positions_pnl( + account_id, + max_api_calls=max_api_calls, + allow_stale=True + ) + + # Calculate total unrealized P&L + total_unrealized_pnl = sum( + (p.unrealized_pnl or Decimal("0")) + for p in positions + if p.status == PositionStatus.OPEN + ) + + # Calculate win rate and average win/loss + closed_with_pnl = [ + p for p in positions + if p.status == PositionStatus.CLOSED and p.realized_pnl is not None + ] + + if closed_with_pnl: + winning_trades = [p for p in closed_with_pnl if p.realized_pnl > 0] + losing_trades = [p for p in closed_with_pnl if p.realized_pnl < 0] + + win_rate = (len(winning_trades) / len(closed_with_pnl)) * 100 + + avg_win = ( + sum(p.realized_pnl for p in winning_trades) / len(winning_trades) + if winning_trades + else Decimal("0") + ) + + avg_loss = ( + sum(p.realized_pnl for p in losing_trades) / len(losing_trades) + if losing_trades + else Decimal("0") + ) + else: + win_rate = 0.0 + avg_win = Decimal("0") + avg_loss = Decimal("0") + + # Get current account balance from latest transaction + latest_txn = ( + self.db.query(Transaction) + .filter(Transaction.account_id == account_id) + .order_by(Transaction.run_date.desc(), Transaction.id.desc()) + .first() + ) + + current_balance = ( + latest_txn.cash_balance if latest_txn and latest_txn.cash_balance else Decimal("0") + ) + + result = { + "total_positions": total_positions, + "open_positions": open_positions_count, + "closed_positions": closed_positions_count, + "total_realized_pnl": float(total_realized_pnl), + "total_unrealized_pnl": float(total_unrealized_pnl), + "total_pnl": float(total_realized_pnl + total_unrealized_pnl), + "win_rate": float(win_rate), + "avg_win": float(avg_win), + "avg_loss": float(avg_loss), + "current_balance": float(current_balance), + } + + # Add update stats if prices were fetched + if update_stats: + result["price_update_stats"] = update_stats + + return result + + def get_balance_history( + self, account_id: int, days: int = 30 + ) -> list[Dict]: + """ + Get account balance history for charting. + + This doesn't need market data, just transaction history. + + Args: + account_id: Account ID + days: Number of days to retrieve + + Returns: + List of {date, balance} dictionaries + """ + cutoff_date = datetime.now().date() - timedelta(days=days) + + transactions = ( + self.db.query(Transaction.run_date, Transaction.cash_balance) + .filter( + and_( + Transaction.account_id == account_id, + Transaction.run_date >= cutoff_date, + Transaction.cash_balance.isnot(None), + ) + ) + .order_by(Transaction.run_date) + .all() + ) + + # Get one balance per day (use last transaction of the day) + daily_balances = {} + for txn in transactions: + daily_balances[txn.run_date] = float(txn.cash_balance) + + return [ + {"date": date.isoformat(), "balance": balance} + for date, balance in sorted(daily_balances.items()) + ] + + def get_top_trades( + self, account_id: int, limit: int = 10, start_date: Optional[datetime] = None, end_date: Optional[datetime] = None + ) -> list[Dict]: + """ + Get top performing trades (by realized P&L). + + This doesn't need market data, just closed positions. + + Args: + account_id: Account ID + limit: Maximum number of trades to return + start_date: Filter positions closed on or after this date + end_date: Filter positions closed on or before this date + + Returns: + List of trade dictionaries + """ + query = self.db.query(Position).filter( + and_( + Position.account_id == account_id, + Position.status == PositionStatus.CLOSED, + Position.realized_pnl.isnot(None), + ) + ) + + # Apply date filters if provided + if start_date: + query = query.filter(Position.close_date >= start_date) + if end_date: + query = query.filter(Position.close_date <= end_date) + + positions = query.order_by(Position.realized_pnl.desc()).limit(limit).all() + + return [ + { + "symbol": p.symbol, + "option_symbol": p.option_symbol, + "position_type": p.position_type.value, + "open_date": p.open_date.isoformat(), + "close_date": p.close_date.isoformat() if p.close_date else None, + "quantity": float(p.total_quantity), + "entry_price": float(p.avg_entry_price) if p.avg_entry_price else None, + "exit_price": float(p.avg_exit_price) if p.avg_exit_price else None, + "realized_pnl": float(p.realized_pnl), + } + for p in positions + ] + + def get_worst_trades( + self, account_id: int, limit: int = 10, start_date: Optional[datetime] = None, end_date: Optional[datetime] = None + ) -> list[Dict]: + """ + Get worst performing trades (by realized P&L). + + This doesn't need market data, just closed positions. + + Args: + account_id: Account ID + limit: Maximum number of trades to return + start_date: Filter positions closed on or after this date + end_date: Filter positions closed on or before this date + + Returns: + List of trade dictionaries + """ + query = self.db.query(Position).filter( + and_( + Position.account_id == account_id, + Position.status == PositionStatus.CLOSED, + Position.realized_pnl.isnot(None), + ) + ) + + # Apply date filters if provided + if start_date: + query = query.filter(Position.close_date >= start_date) + if end_date: + query = query.filter(Position.close_date <= end_date) + + positions = query.order_by(Position.realized_pnl.asc()).limit(limit).all() + + return [ + { + "symbol": p.symbol, + "option_symbol": p.option_symbol, + "position_type": p.position_type.value, + "open_date": p.open_date.isoformat(), + "close_date": p.close_date.isoformat() if p.close_date else None, + "quantity": float(p.total_quantity), + "entry_price": float(p.avg_entry_price) if p.avg_entry_price else None, + "exit_price": float(p.avg_exit_price) if p.avg_exit_price else None, + "realized_pnl": float(p.realized_pnl), + } + for p in positions + ] diff --git a/backend/app/services/position_tracker.py b/backend/app/services/position_tracker.py new file mode 100644 index 0000000..38036b9 --- /dev/null +++ b/backend/app/services/position_tracker.py @@ -0,0 +1,465 @@ +"""Service for tracking and calculating trading positions.""" +from sqlalchemy.orm import Session +from sqlalchemy import and_ +from typing import List, Optional, Dict +from decimal import Decimal +from collections import defaultdict +from datetime import datetime +import re + +from app.models import Transaction, Position, PositionTransaction +from app.models.position import PositionType, PositionStatus +from app.utils import parse_option_symbol + + +class PositionTracker: + """ + Service for tracking trading positions from transactions. + + Matches opening and closing transactions using FIFO (First-In-First-Out) method. + Handles stocks, calls, and puts including complex scenarios like assignments and expirations. + """ + + def __init__(self, db: Session): + """ + Initialize position tracker. + + Args: + db: Database session + """ + self.db = db + + def rebuild_positions(self, account_id: int) -> int: + """ + Rebuild all positions for an account from transactions. + + Deletes existing positions and recalculates from scratch. + + Args: + account_id: Account ID to rebuild positions for + + Returns: + Number of positions created + """ + # Delete existing positions + self.db.query(Position).filter(Position.account_id == account_id).delete() + self.db.commit() + + # Get all transactions ordered by date + transactions = ( + self.db.query(Transaction) + .filter(Transaction.account_id == account_id) + .order_by(Transaction.run_date, Transaction.id) + .all() + ) + + # Group transactions by symbol and option details + # For options, we need to group by the full option contract (symbol + strike + expiration) + # For stocks, we group by symbol only + symbol_txns = defaultdict(list) + for txn in transactions: + if txn.symbol: + # Create a unique grouping key + grouping_key = self._get_grouping_key(txn) + symbol_txns[grouping_key].append(txn) + + # Process each symbol/contract group + position_count = 0 + for grouping_key, txns in symbol_txns.items(): + positions = self._process_symbol_transactions(account_id, grouping_key, txns) + position_count += len(positions) + + self.db.commit() + return position_count + + def _process_symbol_transactions( + self, account_id: int, symbol: str, transactions: List[Transaction] + ) -> List[Position]: + """ + Process all transactions for a single symbol to create positions. + + Args: + account_id: Account ID + symbol: Trading symbol + transactions: List of transactions for this symbol + + Returns: + List of created Position objects + """ + positions = [] + + # Determine position type from first transaction + position_type = self._determine_position_type_from_txn(transactions[0]) if transactions else PositionType.STOCK + + # Track open positions using FIFO + open_positions: List[Dict] = [] + + for txn in transactions: + action = txn.action.upper() + + # Determine if this is an opening or closing transaction + if self._is_opening_transaction(action): + # Create new open position + open_pos = { + "transactions": [txn], + "quantity": abs(txn.quantity) if txn.quantity else Decimal("0"), + "entry_price": txn.price, + "open_date": txn.run_date, + "is_short": "SELL" in action or "SOLD" in action, + } + open_positions.append(open_pos) + + elif self._is_closing_transaction(action): + # Close positions using FIFO + close_quantity = abs(txn.quantity) if txn.quantity else Decimal("0") + remaining_to_close = close_quantity + + while remaining_to_close > 0 and open_positions: + open_pos = open_positions[0] + open_qty = open_pos["quantity"] + + if open_qty <= remaining_to_close: + # Close entire position + open_pos["transactions"].append(txn) + position = self._create_position( + account_id, + symbol, + position_type, + open_pos, + close_date=txn.run_date, + exit_price=txn.price, + close_quantity=open_qty, + ) + positions.append(position) + open_positions.pop(0) + remaining_to_close -= open_qty + else: + # Partially close position + # Split into closed portion + closed_portion = { + "transactions": open_pos["transactions"] + [txn], + "quantity": remaining_to_close, + "entry_price": open_pos["entry_price"], + "open_date": open_pos["open_date"], + "is_short": open_pos["is_short"], + } + position = self._create_position( + account_id, + symbol, + position_type, + closed_portion, + close_date=txn.run_date, + exit_price=txn.price, + close_quantity=remaining_to_close, + ) + positions.append(position) + + # Update open position with remaining quantity + open_pos["quantity"] -= remaining_to_close + remaining_to_close = Decimal("0") + + elif self._is_expiration(action): + # Handle option expirations + expire_quantity = abs(txn.quantity) if txn.quantity else Decimal("0") + remaining_to_expire = expire_quantity + + while remaining_to_expire > 0 and open_positions: + open_pos = open_positions[0] + open_qty = open_pos["quantity"] + + if open_qty <= remaining_to_expire: + # Expire entire position + open_pos["transactions"].append(txn) + position = self._create_position( + account_id, + symbol, + position_type, + open_pos, + close_date=txn.run_date, + exit_price=Decimal("0"), # Expired worthless + close_quantity=open_qty, + ) + positions.append(position) + open_positions.pop(0) + remaining_to_expire -= open_qty + else: + # Partially expire + closed_portion = { + "transactions": open_pos["transactions"] + [txn], + "quantity": remaining_to_expire, + "entry_price": open_pos["entry_price"], + "open_date": open_pos["open_date"], + "is_short": open_pos["is_short"], + } + position = self._create_position( + account_id, + symbol, + position_type, + closed_portion, + close_date=txn.run_date, + exit_price=Decimal("0"), + close_quantity=remaining_to_expire, + ) + positions.append(position) + open_pos["quantity"] -= remaining_to_expire + remaining_to_expire = Decimal("0") + + # Create positions for any remaining open positions + for open_pos in open_positions: + position = self._create_position( + account_id, symbol, position_type, open_pos + ) + positions.append(position) + + return positions + + def _create_position( + self, + account_id: int, + symbol: str, + position_type: PositionType, + position_data: Dict, + close_date: Optional[datetime] = None, + exit_price: Optional[Decimal] = None, + close_quantity: Optional[Decimal] = None, + ) -> Position: + """ + Create a Position database object. + + Args: + account_id: Account ID + symbol: Trading symbol + position_type: Type of position + position_data: Dictionary with position information + close_date: Close date (if closed) + exit_price: Exit price (if closed) + close_quantity: Quantity closed (if closed) + + Returns: + Created Position object + """ + is_closed = close_date is not None + quantity = close_quantity if close_quantity else position_data["quantity"] + + # Calculate P&L if closed + realized_pnl = None + if is_closed and position_data["entry_price"] and exit_price is not None: + if position_data["is_short"]: + # Short position: profit when price decreases + realized_pnl = ( + position_data["entry_price"] - exit_price + ) * quantity * 100 + else: + # Long position: profit when price increases + realized_pnl = ( + exit_price - position_data["entry_price"] + ) * quantity * 100 + + # Subtract fees and commissions + for txn in position_data["transactions"]: + if txn.commission: + realized_pnl -= txn.commission + if txn.fees: + realized_pnl -= txn.fees + + # Extract option symbol from first transaction if this is an option + option_symbol = None + if position_type != PositionType.STOCK and position_data["transactions"]: + first_txn = position_data["transactions"][0] + # Try to extract option details from description + option_symbol = self._extract_option_symbol_from_description( + first_txn.description, first_txn.action, symbol + ) + + # Create position + position = Position( + account_id=account_id, + symbol=symbol, + option_symbol=option_symbol, + position_type=position_type, + status=PositionStatus.CLOSED if is_closed else PositionStatus.OPEN, + open_date=position_data["open_date"], + close_date=close_date, + total_quantity=quantity if not position_data["is_short"] else -quantity, + avg_entry_price=position_data["entry_price"], + avg_exit_price=exit_price, + realized_pnl=realized_pnl, + ) + + self.db.add(position) + self.db.flush() # Get position ID + + # Link transactions to position + for txn in position_data["transactions"]: + link = PositionTransaction( + position_id=position.id, transaction_id=txn.id + ) + self.db.add(link) + + return position + + def _extract_option_symbol_from_description( + self, description: str, action: str, base_symbol: str + ) -> Optional[str]: + """ + Extract option symbol from transaction description. + + Example: "CALL (TGT) TARGET CORP JAN 16 26 $95 (100 SHS)" + Returns: "-TGT260116C95" + + Args: + description: Transaction description + action: Transaction action + base_symbol: Underlying symbol + + Returns: + Option symbol in standard format, or None if can't parse + """ + if not description: + return None + + # Determine if CALL or PUT + call_or_put = None + if "CALL" in description.upper(): + call_or_put = "C" + elif "PUT" in description.upper(): + call_or_put = "P" + else: + return None + + # Extract date and strike: "JAN 16 26 $95" + # Pattern: MONTH DAY YY $STRIKE + date_strike_pattern = r'([A-Z]{3})\s+(\d{1,2})\s+(\d{2})\s+\$([\d.]+)' + match = re.search(date_strike_pattern, description) + + if not match: + return None + + month_abbr, day, year, strike = match.groups() + + # Convert month abbreviation to number + month_map = { + 'JAN': '01', 'FEB': '02', 'MAR': '03', 'APR': '04', + 'MAY': '05', 'JUN': '06', 'JUL': '07', 'AUG': '08', + 'SEP': '09', 'OCT': '10', 'NOV': '11', 'DEC': '12' + } + + month = month_map.get(month_abbr.upper()) + if not month: + return None + + # Format: -SYMBOL + YYMMDD + C/P + STRIKE + # Remove decimal point from strike if it's a whole number + strike_num = float(strike) + strike_str = str(int(strike_num)) if strike_num.is_integer() else strike.replace('.', '') + + option_symbol = f"-{base_symbol}{year}{month}{day.zfill(2)}{call_or_put}{strike_str}" + return option_symbol + + def _determine_position_type_from_txn(self, txn: Transaction) -> PositionType: + """ + Determine position type from transaction action/description. + + Args: + txn: Transaction to analyze + + Returns: + PositionType (STOCK, CALL, or PUT) + """ + # Check action and description for option indicators + action_upper = txn.action.upper() if txn.action else "" + desc_upper = txn.description.upper() if txn.description else "" + + # Look for CALL or PUT keywords + if "CALL" in action_upper or "CALL" in desc_upper: + return PositionType.CALL + elif "PUT" in action_upper or "PUT" in desc_upper: + return PositionType.PUT + + # Fall back to checking symbol format (for backwards compatibility) + if txn.symbol and txn.symbol.startswith("-"): + option_info = parse_option_symbol(txn.symbol) + if option_info: + return ( + PositionType.CALL + if option_info.option_type == "CALL" + else PositionType.PUT + ) + + return PositionType.STOCK + + def _get_base_symbol(self, symbol: str) -> str: + """Extract base symbol from option symbol.""" + if symbol.startswith("-"): + option_info = parse_option_symbol(symbol) + if option_info: + return option_info.underlying_symbol + return symbol + + def _is_opening_transaction(self, action: str) -> bool: + """Check if action represents opening a position.""" + opening_keywords = [ + "OPENING TRANSACTION", + "YOU BOUGHT OPENING", + "YOU SOLD OPENING", + ] + return any(keyword in action for keyword in opening_keywords) + + def _is_closing_transaction(self, action: str) -> bool: + """Check if action represents closing a position.""" + closing_keywords = [ + "CLOSING TRANSACTION", + "YOU BOUGHT CLOSING", + "YOU SOLD CLOSING", + "ASSIGNED", + ] + return any(keyword in action for keyword in closing_keywords) + + def _is_expiration(self, action: str) -> bool: + """Check if action represents an expiration.""" + return "EXPIRED" in action + + def _get_grouping_key(self, txn: Transaction) -> str: + """ + Create a unique grouping key for transactions. + + For options, returns: symbol + option details (e.g., "TGT-JAN16-100C") + For stocks, returns: just the symbol (e.g., "TGT") + + Args: + txn: Transaction to create key for + + Returns: + Grouping key string + """ + # Determine if this is an option transaction + action_upper = txn.action.upper() if txn.action else "" + desc_upper = txn.description.upper() if txn.description else "" + + is_option = "CALL" in action_upper or "CALL" in desc_upper or "PUT" in action_upper or "PUT" in desc_upper + + if not is_option or not txn.description: + # Stock transaction - group by symbol only + return txn.symbol + + # Option transaction - extract strike and expiration to create unique key + # Pattern: "CALL (TGT) TARGET CORP JAN 16 26 $100 (100 SHS)" + date_strike_pattern = r'([A-Z]{3})\s+(\d{1,2})\s+(\d{2})\s+\$([\d.]+)' + match = re.search(date_strike_pattern, txn.description) + + if not match: + # Can't parse option details, fall back to symbol only + return txn.symbol + + month_abbr, day, year, strike = match.groups() + + # Determine call or put + call_or_put = "C" if "CALL" in desc_upper else "P" + + # Create key: SYMBOL-MONTHDAY-STRIKEC/P + # e.g., "TGT-JAN16-100C" + strike_num = float(strike) + strike_str = str(int(strike_num)) if strike_num.is_integer() else strike + + grouping_key = f"{txn.symbol}-{month_abbr}{day}-{strike_str}{call_or_put}" + return grouping_key diff --git a/backend/app/utils/__init__.py b/backend/app/utils/__init__.py new file mode 100644 index 0000000..468afe2 --- /dev/null +++ b/backend/app/utils/__init__.py @@ -0,0 +1,5 @@ +"""Utility functions and helpers.""" +from app.utils.deduplication import generate_transaction_hash +from app.utils.option_parser import parse_option_symbol, OptionInfo + +__all__ = ["generate_transaction_hash", "parse_option_symbol", "OptionInfo"] diff --git a/backend/app/utils/deduplication.py b/backend/app/utils/deduplication.py new file mode 100644 index 0000000..1ed8300 --- /dev/null +++ b/backend/app/utils/deduplication.py @@ -0,0 +1,65 @@ +"""Transaction deduplication utilities.""" +import hashlib +from datetime import date +from decimal import Decimal +from typing import Optional + + +def generate_transaction_hash( + account_id: int, + run_date: date, + symbol: Optional[str], + action: str, + amount: Optional[Decimal], + quantity: Optional[Decimal], + price: Optional[Decimal], +) -> str: + """ + Generate a unique SHA-256 hash for a transaction to prevent duplicates. + + The hash is generated from key transaction attributes that uniquely identify + a transaction: account, date, symbol, action, amount, quantity, and price. + + Args: + account_id: Account identifier + run_date: Transaction date + symbol: Trading symbol + action: Transaction action description + amount: Transaction amount + quantity: Number of shares/contracts + price: Price per unit + + Returns: + str: 64-character hexadecimal SHA-256 hash + + Example: + >>> generate_transaction_hash( + ... account_id=1, + ... run_date=date(2025, 12, 26), + ... symbol="AAPL", + ... action="YOU BOUGHT", + ... amount=Decimal("-1500.00"), + ... quantity=Decimal("10"), + ... price=Decimal("150.00") + ... ) + 'a1b2c3d4...' + """ + # Convert values to strings, handling None values + symbol_str = symbol or "" + amount_str = str(amount) if amount is not None else "" + quantity_str = str(quantity) if quantity is not None else "" + price_str = str(price) if price is not None else "" + + # Create hash string with pipe delimiter + hash_string = ( + f"{account_id}|" + f"{run_date.isoformat()}|" + f"{symbol_str}|" + f"{action}|" + f"{amount_str}|" + f"{quantity_str}|" + f"{price_str}" + ) + + # Generate SHA-256 hash + return hashlib.sha256(hash_string.encode("utf-8")).hexdigest() diff --git a/backend/app/utils/option_parser.py b/backend/app/utils/option_parser.py new file mode 100644 index 0000000..b982375 --- /dev/null +++ b/backend/app/utils/option_parser.py @@ -0,0 +1,91 @@ +"""Option symbol parsing utilities.""" +import re +from datetime import datetime +from typing import Optional, NamedTuple +from decimal import Decimal + + +class OptionInfo(NamedTuple): + """ + Parsed option information. + + Attributes: + underlying_symbol: Base ticker symbol (e.g., "AAPL") + expiration_date: Option expiration date + option_type: "CALL" or "PUT" + strike_price: Strike price + """ + underlying_symbol: str + expiration_date: datetime + option_type: str + strike_price: Decimal + + +def parse_option_symbol(option_symbol: str) -> Optional[OptionInfo]: + """ + Parse Fidelity option symbol format into components. + + Fidelity format: -SYMBOL + YYMMDD + C/P + STRIKE + Example: -AAPL260116C150 = AAPL Call expiring Jan 16, 2026 at $150 strike + + Args: + option_symbol: Fidelity option symbol string + + Returns: + OptionInfo object if parsing successful, None otherwise + + Examples: + >>> parse_option_symbol("-AAPL260116C150") + OptionInfo( + underlying_symbol='AAPL', + expiration_date=datetime(2026, 1, 16), + option_type='CALL', + strike_price=Decimal('150') + ) + + >>> parse_option_symbol("-TSLA251219P500") + OptionInfo( + underlying_symbol='TSLA', + expiration_date=datetime(2025, 12, 19), + option_type='PUT', + strike_price=Decimal('500') + ) + """ + # Regex pattern: -SYMBOL + YYMMDD + C/P + STRIKE + # Symbol: one or more uppercase letters + # Date: 6 digits (YYMMDD) + # Type: C (call) or P (put) + # Strike: digits with optional decimal point + pattern = r"^-([A-Z]+)(\d{6})([CP])(\d+\.?\d*)$" + + match = re.match(pattern, option_symbol) + if not match: + return None + + symbol, date_str, option_type, strike_str = match.groups() + + # Parse date (YYMMDD format) + try: + # Assume 20XX for years (works until 2100) + year = 2000 + int(date_str[:2]) + month = int(date_str[2:4]) + day = int(date_str[4:6]) + expiration_date = datetime(year, month, day) + except (ValueError, IndexError): + return None + + # Parse option type + option_type_full = "CALL" if option_type == "C" else "PUT" + + # Parse strike price + try: + strike_price = Decimal(strike_str) + except (ValueError, ArithmeticError): + return None + + return OptionInfo( + underlying_symbol=symbol, + expiration_date=expiration_date, + option_type=option_type_full, + strike_price=strike_price, + ) diff --git a/backend/requirements.txt b/backend/requirements.txt new file mode 100644 index 0000000..b1066cd --- /dev/null +++ b/backend/requirements.txt @@ -0,0 +1,12 @@ +fastapi==0.109.0 +uvicorn[standard]==0.27.0 +sqlalchemy==2.0.25 +alembic==1.13.1 +psycopg2-binary==2.9.9 +pydantic==2.5.3 +pydantic-settings==2.1.0 +python-multipart==0.0.6 +pandas==2.1.4 +yfinance==0.2.35 +python-dateutil==2.8.2 +pytz==2024.1 diff --git a/backend/seed_demo_data.py b/backend/seed_demo_data.py new file mode 100644 index 0000000..736f7cf --- /dev/null +++ b/backend/seed_demo_data.py @@ -0,0 +1,94 @@ +""" +Demo data seeder script. +Creates a sample account and imports the provided CSV file. +""" +import sys +from pathlib import Path + +# Add parent directory to path +sys.path.insert(0, str(Path(__file__).parent)) + +from sqlalchemy.orm import Session +from app.database import SessionLocal, engine, Base +from app.models import Account +from app.services import ImportService +from app.services.position_tracker import PositionTracker + +def seed_demo_data(): + """Seed demo account and transactions.""" + print("🌱 Seeding demo data...") + + # Create tables + Base.metadata.create_all(bind=engine) + + # Create database session + db = SessionLocal() + + try: + # Check if demo account already exists + existing = ( + db.query(Account) + .filter(Account.account_number == "DEMO123456") + .first() + ) + + if existing: + print("✅ Demo account already exists") + demo_account = existing + else: + # Create demo account + demo_account = Account( + account_number="DEMO123456", + account_name="Demo Trading Account", + account_type="margin", + ) + db.add(demo_account) + db.commit() + db.refresh(demo_account) + print(f"✅ Created demo account (ID: {demo_account.id})") + + # Check for CSV file + csv_path = Path("/app/imports/History_for_Account_X38661988.csv") + if not csv_path.exists(): + # Try alternative path (development) + csv_path = Path(__file__).parent.parent / "History_for_Account_X38661988.csv" + + if not csv_path.exists(): + print("⚠️ Sample CSV file not found. Skipping import.") + print(" Place the CSV file in /app/imports/ to seed demo data.") + return + + # Import transactions + print(f"📊 Importing transactions from {csv_path.name}...") + import_service = ImportService(db) + result = import_service.import_from_file(csv_path, demo_account.id) + + print(f"✅ Imported {result.imported} transactions") + print(f" Skipped {result.skipped} duplicates") + if result.errors: + print(f" ⚠️ {len(result.errors)} errors occurred") + + # Build positions + if result.imported > 0: + print("📈 Building positions...") + position_tracker = PositionTracker(db) + positions_created = position_tracker.rebuild_positions(demo_account.id) + print(f"✅ Created {positions_created} positions") + + print("\n🎉 Demo data seeded successfully!") + print(f"\n📝 Demo Account Details:") + print(f" Account Number: {demo_account.account_number}") + print(f" Account Name: {demo_account.account_name}") + print(f" Account ID: {demo_account.id}") + + except Exception as e: + print(f"❌ Error seeding demo data: {e}") + db.rollback() + raise + + finally: + db.close() + + +if __name__ == "__main__": + seed_demo_data() diff --git a/docker-compose.yml b/docker-compose.yml new file mode 100644 index 0000000..52c1b4d --- /dev/null +++ b/docker-compose.yml @@ -0,0 +1,67 @@ +services: + # PostgreSQL database + postgres: + image: postgres:16-alpine + container_name: fidelity_postgres + environment: + POSTGRES_USER: fidelity + POSTGRES_PASSWORD: fidelity123 + POSTGRES_DB: fidelitytracker + ports: + - "5432:5432" + volumes: + - postgres_data:/var/lib/postgresql/data + healthcheck: + test: ["CMD-SHELL", "pg_isready -U fidelity -d fidelitytracker"] + interval: 10s + timeout: 5s + retries: 5 + networks: + - fidelity_network + + # FastAPI backend + backend: + build: + context: ./backend + dockerfile: Dockerfile + container_name: fidelity_backend + depends_on: + postgres: + condition: service_healthy + environment: + POSTGRES_HOST: postgres + POSTGRES_PORT: 5432 + POSTGRES_DB: fidelitytracker + POSTGRES_USER: fidelity + POSTGRES_PASSWORD: fidelity123 + IMPORT_DIR: /app/imports + ports: + - "8000:8000" + volumes: + - ./imports:/app/imports + - ./backend:/app + networks: + - fidelity_network + restart: unless-stopped + + # React frontend (will be added) + frontend: + build: + context: ./frontend + dockerfile: Dockerfile + container_name: fidelity_frontend + depends_on: + - backend + ports: + - "3000:80" + networks: + - fidelity_network + restart: unless-stopped + +volumes: + postgres_data: + driver: local + +networks: + fidelity_network: + driver: bridge diff --git a/docs/TIMEFRAME_FILTERING.md b/docs/TIMEFRAME_FILTERING.md new file mode 100644 index 0000000..01b5a05 --- /dev/null +++ b/docs/TIMEFRAME_FILTERING.md @@ -0,0 +1,199 @@ +# Timeframe Filtering Feature + +## Overview +The timeframe filtering feature allows users to view dashboard metrics and charts for specific date ranges, providing better insights into performance over different time periods. + +## User Interface + +### Location +- Dashboard page (DashboardV2 component) +- Dropdown filter positioned at the top of the dashboard, above metrics cards + +### Available Options +1. **All Time** - Shows all historical data +2. **Last 30 Days** - Shows data from the past 30 days +3. **Last 90 Days** - Shows data from the past 90 days +4. **Last 180 Days** - Shows data from the past 180 days (default for chart) +5. **Last 1 Year** - Shows data from the past 365 days +6. **Year to Date** - Shows data from January 1st of current year to today + +## What Gets Filtered + +### Metrics Cards (Top of Dashboard) +When a timeframe is selected, the following metrics are filtered by position open date: +- Total Positions count +- Open Positions count +- Closed Positions count +- Total Realized P&L +- Total Unrealized P&L +- Win Rate percentage +- Average Win amount +- Average Loss amount +- Current Balance (always shows latest) + +### Balance History Chart +The chart adjusts to show the requested number of days: +- All Time: ~10 years (3650 days) +- Last 30 Days: 30 days +- Last 90 Days: 90 days +- Last 180 Days: 180 days +- Last 1 Year: 365 days +- Year to Date: Dynamic calculation from Jan 1 to today + +## Implementation Details + +### Frontend + +#### Component: `DashboardV2.tsx` +```typescript +// State management +const [timeframe, setTimeframe] = useState('all'); + +// Convert timeframe to days for balance history +const getDaysFromTimeframe = (tf: TimeframeOption): number => { + switch (tf) { + case 'last30days': return 30; + case 'last90days': return 90; + // ... etc + } +}; + +// Get date range for filtering +const { startDate, endDate } = getTimeframeDates(timeframe); +``` + +#### API Calls +1. **Overview Stats**: + - Endpoint: `GET /analytics/overview/{account_id}` + - Parameters: `start_date`, `end_date` + - Query key includes timeframe for proper caching + +2. **Balance History**: + - Endpoint: `GET /analytics/balance-history/{account_id}` + - Parameters: `days` (calculated from timeframe) + - Query key includes timeframe for proper caching + +### Backend + +#### Endpoint: `analytics_v2.py` +```python +@router.get("/overview/{account_id}") +def get_overview( + account_id: int, + refresh_prices: bool = False, + max_api_calls: int = 5, + start_date: Optional[date] = None, # NEW + end_date: Optional[date] = None, # NEW + db: Session = Depends(get_db) +): + # Passes dates to calculator + stats = calculator.calculate_account_stats( + account_id, + update_prices=True, + max_api_calls=max_api_calls, + start_date=start_date, + end_date=end_date + ) +``` + +#### Service: `performance_calculator_v2.py` +```python +def calculate_account_stats( + self, + account_id: int, + update_prices: bool = True, + max_api_calls: int = 10, + start_date = None, # NEW + end_date = None # NEW +) -> Dict: + # Filter positions by open date + query = self.db.query(Position).filter(Position.account_id == account_id) + + if start_date: + query = query.filter(Position.open_date >= start_date) + if end_date: + query = query.filter(Position.open_date <= end_date) + + positions = query.all() + # ... rest of calculation logic +``` + +## Filter Logic + +### Position Filtering +Positions are filtered based on their `open_date`: +- Only positions opened on or after `start_date` are included +- Only positions opened on or before `end_date` are included +- Open positions are always included if they match the date criteria + +### Balance History +The balance history shows account balance at end of each day: +- Calculated from transactions within the specified days +- Does not filter by open date, shows actual historical balances + +## Caching Strategy + +React Query cache keys include timeframe parameters to ensure: +1. Different timeframes don't conflict in cache +2. Changing timeframes triggers new API calls +3. Cache invalidation works correctly + +Cache keys: +- Overview: `['analytics', 'overview', accountId, startDate, endDate]` +- Balance: `['analytics', 'balance-history', accountId, timeframe]` + +## User Experience + +### Performance +- Balance history queries are fast (no market data needed) +- Overview queries use cached prices by default (fast) +- Users can still trigger price refresh within filtered timeframe + +### Visual Feedback +- Filter immediately updates both metrics and chart +- Loading states handled by React Query +- Stale data shown while fetching (stale-while-revalidate pattern) + +## Testing Checklist + +- [ ] All timeframe options work correctly +- [ ] Metrics update when timeframe changes +- [ ] Balance history chart adjusts to show correct date range +- [ ] "All Time" shows complete data +- [ ] Year to Date calculation is accurate +- [ ] Filter persists during price refresh +- [ ] Cache invalidation works properly +- [ ] UI shows loading states appropriately + +## Future Enhancements + +Potential improvements: +1. Add custom date range picker +2. Compare multiple timeframes side-by-side +3. Save preferred timeframe in user settings +4. Add timeframe filter to Transactions table +5. Add timeframe presets for tax year, quarters +6. Export filtered data to CSV + +## Related Components + +- `TimeframeFilter.tsx` - Reusable dropdown component +- `getTimeframeDates()` - Helper function to convert timeframe to dates +- `TransactionTable.tsx` - Already uses timeframe filtering + +## API Reference + +### GET /analytics/overview/{account_id} +``` +Query Parameters: +- refresh_prices: boolean (default: false) +- max_api_calls: integer (default: 5) +- start_date: date (optional, format: YYYY-MM-DD) +- end_date: date (optional, format: YYYY-MM-DD) +``` + +### GET /analytics/balance-history/{account_id} +``` +Query Parameters: +- days: integer (default: 30, max: 3650) +``` diff --git a/frontend/Dockerfile b/frontend/Dockerfile new file mode 100644 index 0000000..6d194e0 --- /dev/null +++ b/frontend/Dockerfile @@ -0,0 +1,33 @@ +# Multi-stage build for React frontend + +# Build stage +FROM node:20-alpine as build + +WORKDIR /app + +# Copy package files +COPY package*.json ./ + +# Install dependencies +# Use npm install instead of npm ci since package-lock.json may not exist +RUN npm install + +# Copy source code +COPY . . + +# Build application +RUN npm run build + +# Production stage with nginx +FROM nginx:alpine + +# Copy built files from build stage +COPY --from=build /app/dist /usr/share/nginx/html + +# Copy nginx configuration +COPY nginx.conf /etc/nginx/conf.d/default.conf + +# Expose port +EXPOSE 80 + +CMD ["nginx", "-g", "daemon off;"] diff --git a/frontend/index.html b/frontend/index.html new file mode 100644 index 0000000..0639e6d --- /dev/null +++ b/frontend/index.html @@ -0,0 +1,13 @@ + + + + + + + myFidelityTracker + + +
+ + + diff --git a/frontend/nginx.conf b/frontend/nginx.conf new file mode 100644 index 0000000..6e429e5 --- /dev/null +++ b/frontend/nginx.conf @@ -0,0 +1,35 @@ +server { + listen 80; + server_name localhost; + root /usr/share/nginx/html; + index index.html; + + # Gzip compression + gzip on; + gzip_types text/plain text/css application/json application/javascript text/xml application/xml application/xml+rss text/javascript; + + # SPA routing - serve index.html for all routes + location / { + try_files $uri $uri/ /index.html; + # Don't cache HTML to ensure new builds are loaded + add_header Cache-Control "no-cache, no-store, must-revalidate"; + add_header Pragma "no-cache"; + add_header Expires "0"; + } + + # Proxy API requests to backend + location /api { + proxy_pass http://backend:8000; + proxy_set_header Host $host; + proxy_set_header X-Real-IP $remote_addr; + proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; + proxy_set_header X-Forwarded-Proto $scheme; + } + + # Cache static assets with versioned filenames (hash in name) + # The hash changes when content changes, so long cache is safe + location ~* \.(js|css|png|jpg|jpeg|gif|ico|svg)$ { + expires 1y; + add_header Cache-Control "public, immutable"; + } +} diff --git a/frontend/package-lock.json b/frontend/package-lock.json new file mode 100644 index 0000000..4eae32d --- /dev/null +++ b/frontend/package-lock.json @@ -0,0 +1,4544 @@ +{ + "name": "myfidelitytracker-frontend", + "version": "1.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "myfidelitytracker-frontend", + "version": "1.0.0", + "dependencies": { + "@tanstack/react-query": "^5.17.9", + "axios": "^1.6.5", + "clsx": "^2.1.0", + "date-fns": "^3.0.6", + "react": "^18.2.0", + "react-dom": "^18.2.0", + "react-dropzone": "^14.2.3", + "react-router-dom": "^6.21.1", + "recharts": "^2.10.3" + }, + "devDependencies": { + "@types/react": "^18.2.48", + "@types/react-dom": "^18.2.18", + 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"date-fns": "^3.0.6", + "clsx": "^2.1.0" + }, + "devDependencies": { + "@types/react": "^18.2.48", + "@types/react-dom": "^18.2.18", + "@typescript-eslint/eslint-plugin": "^6.19.0", + "@typescript-eslint/parser": "^6.19.0", + "@vitejs/plugin-react": "^4.2.1", + "autoprefixer": "^10.4.16", + "eslint": "^8.56.0", + "eslint-plugin-react-hooks": "^4.6.0", + "eslint-plugin-react-refresh": "^0.4.5", + "postcss": "^8.4.33", + "tailwindcss": "^3.4.1", + "typescript": "^5.3.3", + "vite": "^5.0.11" + } +} diff --git a/frontend/postcss.config.js b/frontend/postcss.config.js new file mode 100644 index 0000000..2e7af2b --- /dev/null +++ b/frontend/postcss.config.js @@ -0,0 +1,6 @@ +export default { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +} diff --git a/frontend/src/App.tsx b/frontend/src/App.tsx new file mode 100644 index 0000000..bb63b34 --- /dev/null +++ b/frontend/src/App.tsx @@ -0,0 +1,118 @@ +import { useState, useEffect } from 'react'; +import { useQuery } from '@tanstack/react-query'; +import { accountsApi } from './api/client'; +import DashboardV2 from './components/DashboardV2'; +import AccountManager from './components/AccountManager'; +import TransactionTable from './components/TransactionTable'; +import ImportDropzone from './components/ImportDropzone'; +import type { Account } from './types'; + +/** + * Main application component. + * Manages navigation and selected account state. + */ +function App() { + const [selectedAccountId, setSelectedAccountId] = useState(null); + const [currentView, setCurrentView] = useState<'dashboard' | 'transactions' | 'import' | 'accounts'>('dashboard'); + + // Fetch accounts + const { data: accounts, isLoading, refetch: refetchAccounts } = useQuery({ + queryKey: ['accounts'], + queryFn: async () => { + const response = await accountsApi.list(); + return response.data; + }, + }); + + // Auto-select first account + useEffect(() => { + if (accounts && accounts.length > 0 && !selectedAccountId) { + setSelectedAccountId(accounts[0].id); + } + }, [accounts, selectedAccountId]); + + return ( +
+ {/* Header */} +
+
+
+

myFidelityTracker

+ + {/* Account Selector */} + {accounts && accounts.length > 0 && ( +
+ +
+ )} +
+
+
+ + {/* Navigation */} + + + {/* Main Content */} +
+ {isLoading ? ( +
+
Loading...
+
+ ) : !selectedAccountId && currentView !== 'accounts' ? ( +
+

No accounts found

+

Create an account to get started

+ +
+ ) : ( + <> + {currentView === 'dashboard' && selectedAccountId && ( + + )} + {currentView === 'transactions' && selectedAccountId && ( + + )} + {currentView === 'import' && selectedAccountId && ( + + )} + {currentView === 'accounts' && ( + + )} + + )} +
+
+ ); +} + +export default App; diff --git a/frontend/src/api/client.ts b/frontend/src/api/client.ts new file mode 100644 index 0000000..27cb189 --- /dev/null +++ b/frontend/src/api/client.ts @@ -0,0 +1,108 @@ +/** + * API client for communicating with the backend. + */ +import axios from 'axios'; +import type { + Account, + Transaction, + Position, + AccountStats, + BalancePoint, + Trade, + ImportResult, +} from '../types'; + +// Configure axios instance +const api = axios.create({ + baseURL: '/api', + headers: { + 'Content-Type': 'application/json', + }, +}); + +// Account APIs +export const accountsApi = { + list: () => api.get('/accounts'), + get: (id: number) => api.get(`/accounts/${id}`), + create: (data: { + account_number: string; + account_name: string; + account_type: 'cash' | 'margin'; + }) => api.post('/accounts', data), + update: (id: number, data: Partial) => + api.put(`/accounts/${id}`, data), + delete: (id: number) => api.delete(`/accounts/${id}`), +}; + +// Transaction APIs +export const transactionsApi = { + list: (params?: { + account_id?: number; + symbol?: string; + start_date?: string; + end_date?: string; + skip?: number; + limit?: number; + }) => api.get('/transactions', { params }), + get: (id: number) => api.get(`/transactions/${id}`), + getPositionDetails: (id: number) => api.get(`/transactions/${id}/position-details`), +}; + +// Position APIs +export const positionsApi = { + list: (params?: { + account_id?: number; + status?: 'open' | 'closed'; + symbol?: string; + skip?: number; + limit?: number; + }) => api.get('/positions', { params }), + get: (id: number) => api.get(`/positions/${id}`), + rebuild: (accountId: number) => + api.post<{ positions_created: number }>(`/positions/${accountId}/rebuild`), +}; + +// Analytics APIs +export const analyticsApi = { + getOverview: (accountId: number, params?: { refresh_prices?: boolean; max_api_calls?: number; start_date?: string; end_date?: string }) => + api.get(`/analytics/overview/${accountId}`, { params }), + getBalanceHistory: (accountId: number, days: number = 30) => + api.get<{ data: BalancePoint[] }>(`/analytics/balance-history/${accountId}`, { + params: { days }, + }), + getTopTrades: (accountId: number, limit: number = 10, startDate?: string, endDate?: string) => + api.get<{ data: Trade[] }>(`/analytics/top-trades/${accountId}`, { + params: { limit, start_date: startDate, end_date: endDate }, + }), + getWorstTrades: (accountId: number, limit: number = 10, startDate?: string, endDate?: string) => + api.get<{ data: Trade[] }>(`/analytics/worst-trades/${accountId}`, { + params: { limit, start_date: startDate, end_date: endDate }, + }), + updatePnL: (accountId: number) => + api.post<{ positions_updated: number }>(`/analytics/update-pnl/${accountId}`), + refreshPrices: (accountId: number, params?: { max_api_calls?: number }) => + api.post<{ message: string; stats: any }>(`/analytics/refresh-prices/${accountId}`, null, { params }), + refreshPricesBackground: (accountId: number, params?: { max_api_calls?: number }) => + api.post<{ message: string; account_id: number }>(`/analytics/refresh-prices-background/${accountId}`, null, { params }), +}; + +// Import APIs +export const importApi = { + uploadCsv: (accountId: number, file: File) => { + const formData = new FormData(); + formData.append('file', file); + return api.post(`/import/upload/${accountId}`, formData, { + headers: { + 'Content-Type': 'multipart/form-data', + }, + }); + }, + importFromFilesystem: (accountId: number) => + api.post<{ + files: Record>; + total_imported: number; + positions_created: number; + }>(`/import/filesystem/${accountId}`), +}; + +export default api; diff --git a/frontend/src/components/AccountManager.tsx b/frontend/src/components/AccountManager.tsx new file mode 100644 index 0000000..b519600 --- /dev/null +++ b/frontend/src/components/AccountManager.tsx @@ -0,0 +1,177 @@ +import { useState } from 'react'; +import { useQuery, useMutation, useQueryClient } from '@tanstack/react-query'; +import { accountsApi } from '../api/client'; + +interface AccountManagerProps { + onAccountCreated: () => void; +} + +/** + * Component for managing accounts (create, list, delete). + */ +export default function AccountManager({ onAccountCreated }: AccountManagerProps) { + const [showForm, setShowForm] = useState(false); + const [formData, setFormData] = useState({ + account_number: '', + account_name: '', + account_type: 'cash' as 'cash' | 'margin', + }); + + const queryClient = useQueryClient(); + + // Fetch accounts + const { data: accounts, isLoading } = useQuery({ + queryKey: ['accounts'], + queryFn: async () => { + const response = await accountsApi.list(); + return response.data; + }, + }); + + // Create account mutation + const createMutation = useMutation({ + mutationFn: accountsApi.create, + onSuccess: () => { + queryClient.invalidateQueries({ queryKey: ['accounts'] }); + setFormData({ account_number: '', account_name: '', account_type: 'cash' }); + setShowForm(false); + onAccountCreated(); + }, + }); + + // Delete account mutation + const deleteMutation = useMutation({ + mutationFn: accountsApi.delete, + onSuccess: () => { + queryClient.invalidateQueries({ queryKey: ['accounts'] }); + }, + }); + + const handleSubmit = (e: React.FormEvent) => { + e.preventDefault(); + createMutation.mutate(formData); + }; + + return ( +
+ {/* Header */} +
+

Accounts

+ +
+ + {/* Create Form */} + {showForm && ( +
+

Create New Account

+
+
+ + + setFormData({ ...formData, account_number: e.target.value }) + } + className="input" + placeholder="X38661988" + /> +
+ +
+ + + setFormData({ ...formData, account_name: e.target.value }) + } + className="input" + placeholder="My Trading Account" + /> +
+ +
+ + +
+ + + + {createMutation.isError && ( +
+ Error: {(createMutation.error as any)?.response?.data?.detail || 'Failed to create account'} +
+ )} +
+
+ )} + + {/* Accounts List */} +
+

Your Accounts

+ + {isLoading ? ( +
Loading accounts...
+ ) : !accounts || accounts.length === 0 ? ( +
+ No accounts yet. Create your first account to get started. +
+ ) : ( +
+ {accounts.map((account) => ( +
+
+

{account.account_name}

+

+ {account.account_number} • {account.account_type} +

+

+ Created {new Date(account.created_at).toLocaleDateString()} +

+
+ + +
+ ))} +
+ )} +
+
+ ); +} diff --git a/frontend/src/components/Dashboard.tsx b/frontend/src/components/Dashboard.tsx new file mode 100644 index 0000000..5620c3c --- /dev/null +++ b/frontend/src/components/Dashboard.tsx @@ -0,0 +1,195 @@ +import { useQuery } from '@tanstack/react-query'; +import { analyticsApi, positionsApi } from '../api/client'; +import MetricsCards from './MetricsCards'; +import PerformanceChart from './PerformanceChart'; +import PositionCard from './PositionCard'; + +interface DashboardProps { + accountId: number; +} + +/** + * Parse option symbol to extract expiration and strike + * Format: -SYMBOL251017C6 -> Oct 17 '25 C + */ +function parseOptionSymbol(optionSymbol: string | null): string { + if (!optionSymbol) return '-'; + + // Extract components: -OPEN251017C6 -> YYMMDD + C/P + Strike + const match = optionSymbol.match(/(\d{6})([CP])([\d.]+)$/); + if (!match) return optionSymbol; + + const [, dateStr, callPut, strike] = match; + + // Parse date: YYMMDD + const year = '20' + dateStr.substring(0, 2); + const month = dateStr.substring(2, 4); + const day = dateStr.substring(4, 6); + + const date = new Date(`${year}-${month}-${day}`); + const monthName = date.toLocaleDateString('en-US', { month: 'short' }); + const dayNum = date.getDate(); + const yearShort = dateStr.substring(0, 2); + + return `${monthName} ${dayNum} '${yearShort} $${strike}${callPut}`; +} + +/** + * Main dashboard showing overview metrics, charts, and positions. + */ +export default function Dashboard({ accountId }: DashboardProps) { + // Helper to safely convert to number + const toNumber = (val: any): number | null => { + if (val === null || val === undefined) return null; + const num = typeof val === 'number' ? val : parseFloat(val); + return isNaN(num) ? null : num; + }; + + // Fetch overview stats + const { data: stats, isLoading: statsLoading } = useQuery({ + queryKey: ['analytics', 'overview', accountId], + queryFn: async () => { + const response = await analyticsApi.getOverview(accountId); + return response.data; + }, + }); + + // Fetch balance history + const { data: balanceHistory } = useQuery({ + queryKey: ['analytics', 'balance-history', accountId], + queryFn: async () => { + const response = await analyticsApi.getBalanceHistory(accountId, 180); + return response.data.data; + }, + }); + + // Fetch open positions + const { data: openPositions } = useQuery({ + queryKey: ['positions', 'open', accountId], + queryFn: async () => { + const response = await positionsApi.list({ + account_id: accountId, + status: 'open', + limit: 10, + }); + return response.data; + }, + }); + + // Fetch top trades + const { data: topTrades } = useQuery({ + queryKey: ['analytics', 'top-trades', accountId], + queryFn: async () => { + const response = await analyticsApi.getTopTrades(accountId, 5); + return response.data.data; + }, + }); + + if (statsLoading) { + return
Loading dashboard...
; + } + + return ( +
+ {/* Metrics Cards */} + + + {/* Performance Chart */} +
+

Balance History

+ +
+ + {/* Open Positions */} +
+

Open Positions

+ {openPositions && openPositions.length > 0 ? ( +
+ {openPositions.map((position) => ( + + ))} +
+ ) : ( +

No open positions

+ )} +
+ + {/* Top Trades */} +
+

Top Performing Trades

+ {topTrades && topTrades.length > 0 ? ( +
+ + + + + + + + + + + + + + {topTrades.map((trade, idx) => { + const entryPrice = toNumber(trade.entry_price); + const exitPrice = toNumber(trade.exit_price); + const pnl = toNumber(trade.realized_pnl); + const isOption = trade.position_type === 'call' || trade.position_type === 'put'; + + return ( + + + + + + + + + + ); + })} + +
+ Symbol + + Type + + Contract + + Dates + + Entry + + Exit + + P&L +
{trade.symbol} + {isOption ? trade.position_type : 'Stock'} + + {isOption ? parseOptionSymbol(trade.option_symbol) : '-'} + + {new Date(trade.open_date).toLocaleDateString()} →{' '} + {trade.close_date + ? new Date(trade.close_date).toLocaleDateString() + : 'Open'} + + {entryPrice !== null ? `$${entryPrice.toFixed(2)}` : '-'} + + {exitPrice !== null ? `$${exitPrice.toFixed(2)}` : '-'} + = 0 ? 'text-profit' : 'text-loss' + }`} + > + {pnl !== null ? `$${pnl.toFixed(2)}` : '-'} +
+
+ ) : ( +

No closed trades yet

+ )} +
+
+ ); +} diff --git a/frontend/src/components/DashboardV2.tsx b/frontend/src/components/DashboardV2.tsx new file mode 100644 index 0000000..0844005 --- /dev/null +++ b/frontend/src/components/DashboardV2.tsx @@ -0,0 +1,316 @@ +import { useQuery, useQueryClient, useMutation } from '@tanstack/react-query'; +import { useState } from 'react'; +import { analyticsApi, positionsApi } from '../api/client'; +import MetricsCards from './MetricsCards'; +import PerformanceChart from './PerformanceChart'; +import PositionCard from './PositionCard'; +import TimeframeFilter, { TimeframeOption, getTimeframeDates } from './TimeframeFilter'; + +interface DashboardProps { + accountId: number; +} + +/** + * Enhanced dashboard with stale-while-revalidate pattern. + * + * Shows cached data immediately, then updates in background. + * Provides manual refresh button for fresh data. + */ +export default function DashboardV2({ accountId }: DashboardProps) { + const queryClient = useQueryClient(); + const [isRefreshing, setIsRefreshing] = useState(false); + const [timeframe, setTimeframe] = useState('all'); + + // Convert timeframe to days for balance history + const getDaysFromTimeframe = (tf: TimeframeOption): number => { + switch (tf) { + case 'last30days': return 30; + case 'last90days': return 90; + case 'last180days': return 180; + case 'last1year': return 365; + case 'ytd': { + const now = new Date(); + const startOfYear = new Date(now.getFullYear(), 0, 1); + return Math.ceil((now.getTime() - startOfYear.getTime()) / (1000 * 60 * 60 * 24)); + } + case 'all': + default: + return 3650; // ~10 years + } + }; + + // Get date range from timeframe for filtering + const { startDate, endDate } = getTimeframeDates(timeframe); + + // Fetch overview stats (with cached prices - fast!) + const { + data: stats, + isLoading: statsLoading, + dataUpdatedAt: statsUpdatedAt, + } = useQuery({ + queryKey: ['analytics', 'overview', accountId, startDate, endDate], + queryFn: async () => { + // Default: use cached prices (no API calls to Yahoo Finance) + const response = await analyticsApi.getOverview(accountId, { + refresh_prices: false, + max_api_calls: 0, + start_date: startDate, + end_date: endDate, + }); + return response.data; + }, + // Keep showing old data while fetching new + staleTime: 30000, // 30 seconds + // Refetch in background when window regains focus + refetchOnWindowFocus: true, + }); + + // Fetch balance history (doesn't need market data - always fast) + const { data: balanceHistory } = useQuery({ + queryKey: ['analytics', 'balance-history', accountId, timeframe], + queryFn: async () => { + const days = getDaysFromTimeframe(timeframe); + const response = await analyticsApi.getBalanceHistory(accountId, days); + return response.data.data; + }, + staleTime: 60000, // 1 minute + }); + + // Fetch open positions + const { data: openPositions } = useQuery({ + queryKey: ['positions', 'open', accountId], + queryFn: async () => { + const response = await positionsApi.list({ + account_id: accountId, + status: 'open', + limit: 10, + }); + return response.data; + }, + staleTime: 30000, + }); + + // Fetch top trades (doesn't need market data - always fast) + const { data: topTrades } = useQuery({ + queryKey: ['analytics', 'top-trades', accountId], + queryFn: async () => { + const response = await analyticsApi.getTopTrades(accountId, 5); + return response.data.data; + }, + staleTime: 60000, + }); + + // Mutation for manual price refresh + const refreshPricesMutation = useMutation({ + mutationFn: async () => { + // Trigger background refresh + await analyticsApi.refreshPricesBackground(accountId, { max_api_calls: 15 }); + + // Wait a bit, then refetch overview + await new Promise((resolve) => setTimeout(resolve, 2000)); + + // Refetch with fresh prices + const response = await analyticsApi.getOverview(accountId, { + refresh_prices: true, + max_api_calls: 15, + }); + return response.data; + }, + onSuccess: (data) => { + // Update the cache with fresh data + queryClient.setQueryData(['analytics', 'overview', accountId], data); + setIsRefreshing(false); + }, + onError: () => { + setIsRefreshing(false); + }, + }); + + const handleRefreshPrices = () => { + setIsRefreshing(true); + refreshPricesMutation.mutate(); + }; + + // Calculate data age + const getDataAge = () => { + if (!statsUpdatedAt) return null; + const ageSeconds = Math.floor((Date.now() - statsUpdatedAt) / 1000); + + if (ageSeconds < 60) return `${ageSeconds}s ago`; + const ageMinutes = Math.floor(ageSeconds / 60); + if (ageMinutes < 60) return `${ageMinutes}m ago`; + const ageHours = Math.floor(ageMinutes / 60); + return `${ageHours}h ago`; + }; + + // Check if we have update stats from the API + const hasUpdateStats = stats?.price_update_stats; + const updateStats = stats?.price_update_stats; + + if (statsLoading && !stats) { + // First load - show loading + return ( +
+ Loading dashboard... +
+ ); + } + + if (!stats) { + // Error state or no data + return ( +
+ Unable to load dashboard data. Please try refreshing the page. +
+ ); + } + + return ( +
+ {/* Timeframe Filter */} +
+
+ + setTimeframe(value as TimeframeOption)} /> +
+
+ + {/* Data freshness indicator and refresh button */} +
+
+
+ {stats && ( + <> + Last updated:{' '} + {getDataAge() || 'just now'} + + )} +
+ + {hasUpdateStats && updateStats && ( +
+ {updateStats.cached > 0 && ( + + 📦 {updateStats.cached} cached + + )} + {updateStats.failed > 0 && ( + + ⚠️ {updateStats.failed} unavailable + + )} +
+ )} +
+ + +
+ + {/* Show info banner if using stale data */} + {stats && !hasUpdateStats && ( +
+ 💡 Tip: Showing cached data for fast loading. Click "Refresh Prices" to get the latest market prices. +
+ )} + + {/* Metrics Cards */} + + + {/* Performance Chart */} +
+

Balance History

+ +
+ + {/* Open Positions */} +
+

Open Positions

+ {openPositions && openPositions.length > 0 ? ( +
+ {openPositions.map((position) => ( + + ))} +
+ ) : ( +

No open positions

+ )} +
+ + {/* Top Trades */} +
+

Top Performing Trades

+ {topTrades && topTrades.length > 0 ? ( +
+ + + + + + + + + + + {topTrades.map((trade, idx) => ( + + + + + + + ))} + +
+ Symbol + + Type + + Dates + + P&L +
{trade.symbol} + {trade.position_type} + + {new Date(trade.open_date).toLocaleDateString()} →{' '} + {trade.close_date + ? new Date(trade.close_date).toLocaleDateString() + : 'Open'} + = 0 ? 'text-profit' : 'text-loss' + }`} + > + ${trade.realized_pnl.toFixed(2)} +
+
+ ) : ( +

No closed trades yet

+ )} +
+
+ ); +} diff --git a/frontend/src/components/ImportDropzone.tsx b/frontend/src/components/ImportDropzone.tsx new file mode 100644 index 0000000..604c3ec --- /dev/null +++ b/frontend/src/components/ImportDropzone.tsx @@ -0,0 +1,184 @@ +import { useState, useCallback } from 'react'; +import { useDropzone } from 'react-dropzone'; +import { useMutation, useQueryClient } from '@tanstack/react-query'; +import { importApi } from '../api/client'; + +interface ImportDropzoneProps { + accountId: number; +} + +/** + * File upload component with drag-and-drop support. + */ +export default function ImportDropzone({ accountId }: ImportDropzoneProps) { + const [importResult, setImportResult] = useState(null); + const queryClient = useQueryClient(); + + // Upload mutation + const uploadMutation = useMutation({ + mutationFn: (file: File) => importApi.uploadCsv(accountId, file), + onSuccess: (response) => { + setImportResult(response.data); + // Invalidate queries to refresh data + queryClient.invalidateQueries({ queryKey: ['transactions', accountId] }); + queryClient.invalidateQueries({ queryKey: ['positions'] }); + queryClient.invalidateQueries({ queryKey: ['analytics'] }); + }, + }); + + // Filesystem import mutation + const filesystemMutation = useMutation({ + mutationFn: () => importApi.importFromFilesystem(accountId), + onSuccess: (response) => { + setImportResult(response.data); + queryClient.invalidateQueries({ queryKey: ['transactions', accountId] }); + queryClient.invalidateQueries({ queryKey: ['positions'] }); + queryClient.invalidateQueries({ queryKey: ['analytics'] }); + }, + }); + + const onDrop = useCallback( + (acceptedFiles: File[]) => { + if (acceptedFiles.length > 0) { + setImportResult(null); + uploadMutation.mutate(acceptedFiles[0]); + } + }, + [uploadMutation] + ); + + const { getRootProps, getInputProps, isDragActive } = useDropzone({ + onDrop, + accept: { + 'text/csv': ['.csv'], + }, + multiple: false, + }); + + return ( +
+ {/* File Upload Dropzone */} +
+

Upload CSV File

+ +
+ +
+ + + + {isDragActive ? ( +

+ Drop the CSV file here +

+ ) : ( + <> +

+ Drag and drop a Fidelity CSV file here, or click to select +

+

Only .csv files are accepted

+ + )} +
+
+ + {uploadMutation.isPending && ( +
Uploading and processing...
+ )} + + {uploadMutation.isError && ( +
+ Error: {(uploadMutation.error as any)?.response?.data?.detail || 'Upload failed'} +
+ )} +
+ + {/* Filesystem Import */} +
+

Import from Filesystem

+

+ Import all CSV files from the /imports directory +

+ + + {filesystemMutation.isError && ( +
+ Error: {(filesystemMutation.error as any)?.response?.data?.detail || 'Import failed'} +
+ )} +
+ + {/* Import Results */} + {importResult && ( +
+

Import Successful

+ + {importResult.filename && ( +
+

File: {importResult.filename}

+
+ )} + +
+
+
{importResult.imported || importResult.total_imported}
+
Imported
+
+
+
{importResult.skipped || 0}
+
Skipped
+
+
+
{importResult.total_rows || 0}
+
Total Rows
+
+
+
{importResult.positions_created}
+
Positions
+
+
+ + {importResult.errors && importResult.errors.length > 0 && ( +
+

Errors:

+
    + {importResult.errors.slice(0, 5).map((error: string, idx: number) => ( +
  • • {error}
    • + ))} + {importResult.errors.length > 5 && ( +
  • ... and {importResult.errors.length - 5} more
    • + )} +
+
+ )} +
+ )} +
+ ); +} diff --git a/frontend/src/components/MetricsCards.tsx b/frontend/src/components/MetricsCards.tsx new file mode 100644 index 0000000..b683065 --- /dev/null +++ b/frontend/src/components/MetricsCards.tsx @@ -0,0 +1,82 @@ +import type { AccountStats } from '../types'; + +interface MetricsCardsProps { + stats: AccountStats; +} + +/** + * Display key performance metrics in card format. + */ +export default function MetricsCards({ stats }: MetricsCardsProps) { + // Safely convert values to numbers + const safeNumber = (val: any): number => { + const num = typeof val === 'number' ? val : parseFloat(val); + return isNaN(num) ? 0 : num; + }; + + const metrics = [ + { + label: 'Account Balance', + value: `$${safeNumber(stats.current_balance).toLocaleString(undefined, { + minimumFractionDigits: 2, + maximumFractionDigits: 2, + })}`, + change: null, + }, + { + label: 'Total P&L', + value: `$${safeNumber(stats.total_pnl).toLocaleString(undefined, { + minimumFractionDigits: 2, + maximumFractionDigits: 2, + })}`, + change: safeNumber(stats.total_pnl), + }, + { + label: 'Realized P&L', + value: `$${safeNumber(stats.total_realized_pnl).toLocaleString(undefined, { + minimumFractionDigits: 2, + maximumFractionDigits: 2, + })}`, + change: safeNumber(stats.total_realized_pnl), + }, + { + label: 'Unrealized P&L', + value: `$${safeNumber(stats.total_unrealized_pnl).toLocaleString(undefined, { + minimumFractionDigits: 2, + maximumFractionDigits: 2, + })}`, + change: safeNumber(stats.total_unrealized_pnl), + }, + { + label: 'Win Rate', + value: `${safeNumber(stats.win_rate).toFixed(1)}%`, + change: null, + }, + { + label: 'Open Positions', + value: String(stats.open_positions || 0), + change: null, + }, + ]; + + return ( +
+ {metrics.map((metric, idx) => ( +
+
{metric.label}
+
= 0 + ? 'text-profit' + : 'text-loss' + : 'text-gray-900' + }`} + > + {metric.value} +
+
+ ))} +
+ ); +} diff --git a/frontend/src/components/PerformanceChart.tsx b/frontend/src/components/PerformanceChart.tsx new file mode 100644 index 0000000..f2fa7d1 --- /dev/null +++ b/frontend/src/components/PerformanceChart.tsx @@ -0,0 +1,70 @@ +import { LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, ResponsiveContainer } from 'recharts'; +import type { BalancePoint } from '../types'; + +interface PerformanceChartProps { + data: BalancePoint[]; +} + +/** + * Line chart showing account balance over time. + */ +export default function PerformanceChart({ data }: PerformanceChartProps) { + if (!data || data.length === 0) { + return ( +
+ No balance history available +
+ ); + } + + // Format data for Recharts + const chartData = data.map((point) => ({ + date: new Date(point.date).toLocaleDateString('en-US', { + month: 'short', + day: 'numeric', + }), + balance: point.balance, + })); + + return ( +
+ + + + + + `$${value.toLocaleString(undefined, { maximumFractionDigits: 0 })}` + } + /> + + `$${value.toLocaleString(undefined, { + minimumFractionDigits: 2, + maximumFractionDigits: 2, + })}` + } + contentStyle={{ + backgroundColor: 'white', + border: '1px solid #E5E7EB', + borderRadius: '8px', + }} + /> + + + +
+ ); +} diff --git a/frontend/src/components/PositionCard.tsx b/frontend/src/components/PositionCard.tsx new file mode 100644 index 0000000..5d6fd9d --- /dev/null +++ b/frontend/src/components/PositionCard.tsx @@ -0,0 +1,76 @@ +import type { Position } from '../types'; + +interface PositionCardProps { + position: Position; +} + +/** + * Card displaying position information. + */ +export default function PositionCard({ position }: PositionCardProps) { + const pnl = position.status === 'open' ? position.unrealized_pnl : position.realized_pnl; + const isProfitable = pnl !== null && pnl >= 0; + + return ( +
+
+
+

{position.symbol}

+

+ {position.position_type} + {position.option_symbol && ` • ${position.option_symbol}`} +

+
+ + {position.status} + +
+ +
+
+
Quantity
+
{position.total_quantity}
+
+
+
Entry Price
+
+ ${typeof position.avg_entry_price === 'number' ? position.avg_entry_price.toFixed(2) : 'N/A'} +
+
+
+
Open Date
+
+ {new Date(position.open_date).toLocaleDateString()} +
+
+ {position.status === 'closed' && position.close_date && ( +
+
Close Date
+
+ {new Date(position.close_date).toLocaleDateString()} +
+
+ )} +
+ + {pnl !== null && typeof pnl === 'number' && ( +
+
+ + {position.status === 'open' ? 'Unrealized P&L' : 'Realized P&L'} + + + {isProfitable ? '+' : ''}${pnl.toFixed(2)} + +
+
+ )} +
+ ); +} diff --git a/frontend/src/components/TimeframeFilter.tsx b/frontend/src/components/TimeframeFilter.tsx new file mode 100644 index 0000000..7c382e7 --- /dev/null +++ b/frontend/src/components/TimeframeFilter.tsx @@ -0,0 +1,90 @@ +interface TimeframeFilterProps { + value: string; + onChange: (value: string) => void; +} + +export type TimeframeOption = + | 'last30days' + | 'last90days' + | 'last180days' + | 'last1year' + | 'ytd' + | 'all'; + +export interface TimeframeDates { + startDate?: string; + endDate?: string; +} + +/** + * Calculate date range based on timeframe selection + */ +export function getTimeframeDates(timeframe: TimeframeOption): TimeframeDates { + const today = new Date(); + const todayStr = today.toISOString().split('T')[0]; + + switch (timeframe) { + case 'last30days': { + const startDate = new Date(today); + startDate.setDate(startDate.getDate() - 30); + return { + startDate: startDate.toISOString().split('T')[0], + endDate: todayStr, + }; + } + case 'last90days': { + const startDate = new Date(today); + startDate.setDate(startDate.getDate() - 90); + return { + startDate: startDate.toISOString().split('T')[0], + endDate: todayStr, + }; + } + case 'last180days': { + const startDate = new Date(today); + startDate.setDate(startDate.getDate() - 180); + return { + startDate: startDate.toISOString().split('T')[0], + endDate: todayStr, + }; + } + case 'last1year': { + const startDate = new Date(today); + startDate.setFullYear(startDate.getFullYear() - 1); + return { + startDate: startDate.toISOString().split('T')[0], + endDate: todayStr, + }; + } + case 'ytd': { + const year = today.getFullYear(); + return { + startDate: `${year}-01-01`, + endDate: todayStr, + }; + } + case 'all': + default: + return {}; // No date filters + } +} + +/** + * Dropdown filter for selecting timeframe + */ +export default function TimeframeFilter({ value, onChange }: TimeframeFilterProps) { + return ( + + ); +} diff --git a/frontend/src/components/TransactionDetailModal.tsx b/frontend/src/components/TransactionDetailModal.tsx new file mode 100644 index 0000000..f2e62bd --- /dev/null +++ b/frontend/src/components/TransactionDetailModal.tsx @@ -0,0 +1,399 @@ +import { useQuery } from '@tanstack/react-query'; +import { transactionsApi } from '../api/client'; + +interface TransactionDetailModalProps { + transactionId: number; + onClose: () => void; +} + +interface Transaction { + id: number; + run_date: string; + action: string; + symbol: string; + description: string | null; + quantity: number | null; + price: number | null; + amount: number | null; + commission: number | null; + fees: number | null; +} + +interface Position { + id: number; + symbol: string; + option_symbol: string | null; + position_type: string; + status: string; + open_date: string; + close_date: string | null; + total_quantity: number; + avg_entry_price: number | null; + avg_exit_price: number | null; + realized_pnl: number | null; + unrealized_pnl: number | null; + strategy: string; +} + +interface PositionDetails { + position: Position; + transactions: Transaction[]; +} + +/** + * Modal displaying full position details for a transaction. + * Shows all related transactions, strategy type, and P&L. + */ +export default function TransactionDetailModal({ + transactionId, + onClose, +}: TransactionDetailModalProps) { + const { data, isLoading, error } = useQuery({ + queryKey: ['transaction-details', transactionId], + queryFn: async () => { + const response = await transactionsApi.getPositionDetails(transactionId); + return response.data; + }, + }); + + const parseOptionSymbol = (optionSymbol: string | null): string => { + if (!optionSymbol) return '-'; + + // Extract components: -SYMBOL251017C6 -> YYMMDD + C/P + Strike + const match = optionSymbol.match(/(\d{6})([CP])([\d.]+)$/); + if (!match) return optionSymbol; + + const [, dateStr, callPut, strike] = match; + + // Parse date: YYMMDD + const year = '20' + dateStr.substring(0, 2); + const month = dateStr.substring(2, 4); + const day = dateStr.substring(4, 6); + + const date = new Date(`${year}-${month}-${day}`); + const monthName = date.toLocaleDateString('en-US', { month: 'short' }); + const dayNum = date.getDate(); + const yearShort = dateStr.substring(0, 2); + + return `${monthName} ${dayNum} '${yearShort} $${strike}${callPut}`; + }; + + return ( +
+
e.stopPropagation()} + > + {/* Header */} +
+

Trade Details

+ +
+ + {/* Content */} +
+ {isLoading && ( +
+ Loading trade details... +
+ )} + + {error && ( +
+

Failed to load trade details

+

+ {error instanceof Error ? error.message : 'Unknown error'} +

+
+ )} + + {data && ( +
+ {/* Position Summary */} +
+

Position Summary

+
+
+

Symbol

+

{data.position.symbol}

+
+ +
+

Type

+

+ {data.position.position_type} +

+
+ +
+

Strategy

+

{data.position.strategy}

+
+ + {data.position.option_symbol && ( +
+

Contract

+

+ {parseOptionSymbol(data.position.option_symbol)} +

+
+ )} + +
+

Status

+

+ {data.position.status} +

+
+ +
+

Quantity

+

+ {Math.abs(data.position.total_quantity)} +

+
+ +
+

+ Avg Entry Price +

+

+ {data.position.avg_entry_price !== null + ? `$${data.position.avg_entry_price.toFixed(2)}` + : '-'} +

+
+ + {data.position.avg_exit_price !== null && ( +
+

+ Avg Exit Price +

+

+ ${data.position.avg_exit_price.toFixed(2)} +

+
+ )} + +
+

P&L

+

= 0 + ? 'text-profit' + : 'text-loss' + }`} + > + {data.position.realized_pnl !== null + ? `$${data.position.realized_pnl.toFixed(2)}` + : data.position.unrealized_pnl !== null + ? `$${data.position.unrealized_pnl.toFixed(2)}` + : '-'} +

+
+
+
+ + {/* Transaction History */} +
+

+ Transaction History ({data.transactions.length}) +

+
+ + + + + + + + + + + + + {data.transactions.map((txn) => ( + + + + + + + + + ))} + +
+ Date + + Action + + Quantity + + Price + + Amount + + Fees +
+ {new Date(txn.run_date).toLocaleDateString()} + + {txn.action} + + {txn.quantity !== null ? txn.quantity : '-'} + + {txn.price !== null + ? `$${txn.price.toFixed(2)}` + : '-'} + = 0 + ? 'text-profit' + : 'text-loss' + : '' + }`} + > + {txn.amount !== null + ? `$${txn.amount.toFixed(2)}` + : '-'} + + {txn.commission || txn.fees + ? `$${( + (txn.commission || 0) + (txn.fees || 0) + ).toFixed(2)}` + : '-'} +
+
+
+ + {/* Trade Timeline and Performance Summary */} +
+ {/* Trade Timeline */} +
+

+ Trade Timeline +

+
+

+ Opened:{' '} + {new Date(data.position.open_date).toLocaleDateString()} +

+ {data.position.close_date && ( +

+ Closed:{' '} + {new Date(data.position.close_date).toLocaleDateString()} +

+ )} +

+ Duration:{' '} + {data.position.close_date + ? Math.floor( + (new Date(data.position.close_date).getTime() - + new Date(data.position.open_date).getTime()) / + (1000 * 60 * 60 * 24) + ) + ' days' + : 'Ongoing'} +

+
+
+ + {/* Annual Return Rate */} + {data.position.close_date && + data.position.realized_pnl !== null && + data.position.avg_entry_price !== null && ( +
+

+ Annual Return Rate +

+
+ {(() => { + const daysHeld = Math.floor( + (new Date(data.position.close_date).getTime() - + new Date(data.position.open_date).getTime()) / + (1000 * 60 * 60 * 24) + ); + + if (daysHeld === 0) { + return ( +

+ Trade held less than 1 day +

+ ); + } + + // Calculate capital invested + const isOption = + data.position.position_type === 'call' || + data.position.position_type === 'put'; + const multiplier = isOption ? 100 : 1; + const capitalInvested = + Math.abs(data.position.avg_entry_price) * + Math.abs(data.position.total_quantity) * + multiplier; + + if (capitalInvested === 0) { + return ( +

+ Unable to calculate (no capital invested) +

+ ); + } + + // ARR = (Profit / Capital) × (365 / Days) × 100% + const arr = + (data.position.realized_pnl / capitalInvested) * + (365 / daysHeld) * + 100; + + return ( + <> +

+ ARR:{' '} + = 0 ? 'text-profit' : 'text-loss' + }`} + > + {arr.toFixed(2)}% + +

+

+ Based on {daysHeld} day + {daysHeld !== 1 ? 's' : ''} held +

+ + ); + })()} +
+
+ )} +
+
+ )} +
+ + {/* Footer */} +
+ +
+
+
+ ); +} diff --git a/frontend/src/components/TransactionTable.tsx b/frontend/src/components/TransactionTable.tsx new file mode 100644 index 0000000..cb1161c --- /dev/null +++ b/frontend/src/components/TransactionTable.tsx @@ -0,0 +1,202 @@ +import { useState } from 'react'; +import { useQuery } from '@tanstack/react-query'; +import { transactionsApi } from '../api/client'; +import TransactionDetailModal from './TransactionDetailModal'; +import TimeframeFilter, { TimeframeOption, getTimeframeDates } from './TimeframeFilter'; + +interface TransactionTableProps { + accountId: number; +} + +/** + * Table displaying transaction history with filtering. + * Rows are clickable to show full trade details. + */ +export default function TransactionTable({ accountId }: TransactionTableProps) { + const [symbol, setSymbol] = useState(''); + const [page, setPage] = useState(0); + const [timeframe, setTimeframe] = useState('all'); + const [selectedTransactionId, setSelectedTransactionId] = useState(null); + const limit = 50; + + // Helper to safely convert to number + const toNumber = (val: any): number | null => { + if (val === null || val === undefined) return null; + const num = typeof val === 'number' ? val : parseFloat(val); + return isNaN(num) ? null : num; + }; + + // Get date range based on timeframe + const { startDate, endDate } = getTimeframeDates(timeframe); + + // Fetch transactions + const { data: transactions, isLoading } = useQuery({ + queryKey: ['transactions', accountId, symbol, timeframe, page], + queryFn: async () => { + const response = await transactionsApi.list({ + account_id: accountId, + symbol: symbol || undefined, + start_date: startDate, + end_date: endDate, + skip: page * limit, + limit, + }); + return response.data; + }, + }); + + return ( +
+
+

Transaction History

+ + {/* Filters */} +
+
+ + { + setSymbol(e.target.value); + setPage(0); + }} + className="input w-full max-w-xs" + /> +
+ +
+ + { + setTimeframe(value as TimeframeOption); + setPage(0); + }} + /> +
+
+
+ + {isLoading ? ( +
Loading transactions...
+ ) : !transactions || transactions.length === 0 ? ( +
No transactions found
+ ) : ( + <> +
+ + + + + + + + + + + + + + {transactions.map((txn) => { + const price = toNumber(txn.price); + const amount = toNumber(txn.amount); + const balance = toNumber(txn.cash_balance); + + return ( + setSelectedTransactionId(txn.id)} + > + + + + + + + + + ); + })} + +
+ Date + + Symbol + + Action + + Quantity + + Price + + Amount + + Balance +
+ {new Date(txn.run_date).toLocaleDateString()} + + {txn.symbol || '-'} + + {txn.action} + + {txn.quantity !== null ? txn.quantity : '-'} + + {price !== null ? `$${price.toFixed(2)}` : '-'} + = 0 + ? 'text-profit' + : 'text-loss' + : '' + }`} + > + {amount !== null ? `$${amount.toFixed(2)}` : '-'} + + {balance !== null + ? `$${balance.toLocaleString(undefined, { + minimumFractionDigits: 2, + maximumFractionDigits: 2, + })}` + : '-'} +
+
+ + {/* Pagination */} +
+ + Page {page + 1} + +
+ + )} + + {/* Transaction Detail Modal */} + {selectedTransactionId && ( + setSelectedTransactionId(null)} + /> + )} +
+ ); +} diff --git a/frontend/src/components/client.ts b/frontend/src/components/client.ts new file mode 100644 index 0000000..27cb189 --- /dev/null +++ b/frontend/src/components/client.ts @@ -0,0 +1,108 @@ +/** + * API client for communicating with the backend. + */ +import axios from 'axios'; +import type { + Account, + Transaction, + Position, + AccountStats, + BalancePoint, + Trade, + ImportResult, +} from '../types'; + +// Configure axios instance +const api = axios.create({ + baseURL: '/api', + headers: { + 'Content-Type': 'application/json', + }, +}); + +// Account APIs +export const accountsApi = { + list: () => api.get('/accounts'), + get: (id: number) => api.get(`/accounts/${id}`), + create: (data: { + account_number: string; + account_name: string; + account_type: 'cash' | 'margin'; + }) => api.post('/accounts', data), + update: (id: number, data: Partial) => + api.put(`/accounts/${id}`, data), + delete: (id: number) => api.delete(`/accounts/${id}`), +}; + +// Transaction APIs +export const transactionsApi = { + list: (params?: { + account_id?: number; + symbol?: string; + start_date?: string; + end_date?: string; + skip?: number; + limit?: number; + }) => api.get('/transactions', { params }), + get: (id: number) => api.get(`/transactions/${id}`), + getPositionDetails: (id: number) => api.get(`/transactions/${id}/position-details`), +}; + +// Position APIs +export const positionsApi = { + list: (params?: { + account_id?: number; + status?: 'open' | 'closed'; + symbol?: string; + skip?: number; + limit?: number; + }) => api.get('/positions', { params }), + get: (id: number) => api.get(`/positions/${id}`), + rebuild: (accountId: number) => + api.post<{ positions_created: number }>(`/positions/${accountId}/rebuild`), +}; + +// Analytics APIs +export const analyticsApi = { + getOverview: (accountId: number, params?: { refresh_prices?: boolean; max_api_calls?: number; start_date?: string; end_date?: string }) => + api.get(`/analytics/overview/${accountId}`, { params }), + getBalanceHistory: (accountId: number, days: number = 30) => + api.get<{ data: BalancePoint[] }>(`/analytics/balance-history/${accountId}`, { + params: { days }, + }), + getTopTrades: (accountId: number, limit: number = 10, startDate?: string, endDate?: string) => + api.get<{ data: Trade[] }>(`/analytics/top-trades/${accountId}`, { + params: { limit, start_date: startDate, end_date: endDate }, + }), + getWorstTrades: (accountId: number, limit: number = 10, startDate?: string, endDate?: string) => + api.get<{ data: Trade[] }>(`/analytics/worst-trades/${accountId}`, { + params: { limit, start_date: startDate, end_date: endDate }, + }), + updatePnL: (accountId: number) => + api.post<{ positions_updated: number }>(`/analytics/update-pnl/${accountId}`), + refreshPrices: (accountId: number, params?: { max_api_calls?: number }) => + api.post<{ message: string; stats: any }>(`/analytics/refresh-prices/${accountId}`, null, { params }), + refreshPricesBackground: (accountId: number, params?: { max_api_calls?: number }) => + api.post<{ message: string; account_id: number }>(`/analytics/refresh-prices-background/${accountId}`, null, { params }), +}; + +// Import APIs +export const importApi = { + uploadCsv: (accountId: number, file: File) => { + const formData = new FormData(); + formData.append('file', file); + return api.post(`/import/upload/${accountId}`, formData, { + headers: { + 'Content-Type': 'multipart/form-data', + }, + }); + }, + importFromFilesystem: (accountId: number) => + api.post<{ + files: Record>; + total_imported: number; + positions_created: number; + }>(`/import/filesystem/${accountId}`), +}; + +export default api; diff --git a/frontend/src/main.tsx b/frontend/src/main.tsx new file mode 100644 index 0000000..0d20723 --- /dev/null +++ b/frontend/src/main.tsx @@ -0,0 +1,26 @@ +import React from 'react'; +import ReactDOM from 'react-dom/client'; +import { QueryClient, QueryClientProvider } from '@tanstack/react-query'; +import { BrowserRouter } from 'react-router-dom'; +import App from './App'; +import './styles/tailwind.css'; + +// Create React Query client +const queryClient = new QueryClient({ + defaultOptions: { + queries: { + refetchOnWindowFocus: false, + retry: 1, + }, + }, +}); + +ReactDOM.createRoot(document.getElementById('root')!).render( + + + + + + + +); diff --git a/frontend/src/styles/tailwind.css b/frontend/src/styles/tailwind.css new file mode 100644 index 0000000..d86f603 --- /dev/null +++ b/frontend/src/styles/tailwind.css @@ -0,0 +1,61 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; + +@layer base { + body { + @apply bg-robinhood-bg text-gray-900 font-sans; + } + + h1, h2, h3, h4, h5, h6 { + @apply font-semibold; + } +} + +@layer components { + .btn { + @apply px-4 py-2 rounded-lg font-medium transition-colors duration-200 focus:outline-none focus:ring-2 focus:ring-offset-2; + } + + .btn-primary { + @apply btn bg-robinhood-green text-white hover:bg-green-600 focus:ring-green-500; + } + + .btn-secondary { + @apply btn bg-gray-200 text-gray-900 hover:bg-gray-300 focus:ring-gray-500; + } + + .btn-danger { + @apply btn bg-robinhood-red text-white hover:bg-red-600 focus:ring-red-500; + } + + .card { + @apply bg-white rounded-xl shadow-sm border border-gray-200 p-6; + } + + .input { + @apply w-full px-4 py-2 border border-gray-300 rounded-lg focus:outline-none focus:ring-2 focus:ring-green-500 focus:border-transparent; + } + + .label { + @apply block text-sm font-medium text-gray-700 mb-1; + } +} + +@layer utilities { + .text-profit { + @apply text-robinhood-green; + } + + .text-loss { + @apply text-robinhood-red; + } + + .bg-profit { + @apply bg-green-50; + } + + .bg-loss { + @apply bg-red-50; + } +} diff --git a/frontend/src/types/index.ts b/frontend/src/types/index.ts new file mode 100644 index 0000000..2daec3f --- /dev/null +++ b/frontend/src/types/index.ts @@ -0,0 +1,94 @@ +/** + * TypeScript type definitions for the application. + */ + +export interface Account { + id: number; + account_number: string; + account_name: string; + account_type: 'cash' | 'margin'; + created_at: string; + updated_at: string; +} + +export interface Transaction { + id: number; + account_id: number; + run_date: string; + action: string; + symbol: string | null; + description: string | null; + transaction_type: string | null; + price: number | null; + quantity: number | null; + commission: number | null; + fees: number | null; + amount: number | null; + cash_balance: number | null; + settlement_date: string | null; + created_at: string; +} + +export interface Position { + id: number; + account_id: number; + symbol: string; + option_symbol: string | null; + position_type: 'stock' | 'call' | 'put'; + status: 'open' | 'closed'; + open_date: string; + close_date: string | null; + total_quantity: number; + avg_entry_price: number | null; + avg_exit_price: number | null; + realized_pnl: number | null; + unrealized_pnl: number | null; + created_at: string; +} + +export interface PriceUpdateStats { + total: number; + updated: number; + cached: number; + failed: number; +} + +export interface AccountStats { + total_positions: number; + open_positions: number; + closed_positions: number; + total_realized_pnl: number; + total_unrealized_pnl: number; + total_pnl: number; + win_rate: number; + avg_win: number; + avg_loss: number; + current_balance: number; + price_update_stats?: PriceUpdateStats; +} + +export interface BalancePoint { + date: string; + balance: number; +} + +export interface Trade { + symbol: string; + option_symbol: string | null; + position_type: string; + open_date: string; + close_date: string | null; + quantity: number; + entry_price: number | null; + exit_price: number | null; + realized_pnl: number; +} + +export interface ImportResult { + filename: string; + imported: number; + skipped: number; + errors: string[]; + total_rows: number; + positions_created: number; +} diff --git a/frontend/tailwind.config.js b/frontend/tailwind.config.js new file mode 100644 index 0000000..459ee33 --- /dev/null +++ b/frontend/tailwind.config.js @@ -0,0 +1,21 @@ +/** @type {import('tailwindcss').Config} */ +export default { + content: [ + "./index.html", + "./src/**/*.{js,ts,jsx,tsx}", + ], + theme: { + extend: { + colors: { + 'robinhood-green': '#00C805', + 'robinhood-red': '#FF5000', + 'robinhood-bg': '#F8F9FA', + 'robinhood-dark': '#1E1E1E', + }, + fontFamily: { + sans: ['Inter', 'system-ui', 'sans-serif'], + }, + }, + }, + plugins: [], +} diff --git a/frontend/tsconfig.json b/frontend/tsconfig.json new file mode 100644 index 0000000..a7fc6fb --- /dev/null +++ b/frontend/tsconfig.json @@ -0,0 +1,25 @@ +{ + "compilerOptions": { + "target": "ES2020", + "useDefineForClassFields": true, + "lib": ["ES2020", "DOM", "DOM.Iterable"], + "module": "ESNext", + "skipLibCheck": true, + + /* Bundler mode */ + "moduleResolution": "bundler", + "allowImportingTsExtensions": true, + "resolveJsonModule": true, + "isolatedModules": true, + "noEmit": true, + "jsx": "react-jsx", + + /* Linting */ + "strict": true, + "noUnusedLocals": true, + "noUnusedParameters": true, + "noFallthroughCasesInSwitch": true + }, + "include": ["src"], + "references": [{ "path": "./tsconfig.node.json" }] +} diff --git a/frontend/tsconfig.node.json b/frontend/tsconfig.node.json new file mode 100644 index 0000000..42872c5 --- /dev/null +++ b/frontend/tsconfig.node.json @@ -0,0 +1,10 @@ +{ + "compilerOptions": { + "composite": true, + "skipLibCheck": true, + "module": "ESNext", + "moduleResolution": "bundler", + "allowSyntheticDefaultImports": true + }, + "include": ["vite.config.ts"] +} diff --git a/frontend/vite.config.ts b/frontend/vite.config.ts new file mode 100644 index 0000000..fa11bb8 --- /dev/null +++ b/frontend/vite.config.ts @@ -0,0 +1,17 @@ +import { defineConfig } from 'vite' +import react from '@vitejs/plugin-react' + +// https://vitejs.dev/config/ +export default defineConfig({ + plugins: [react()], + server: { + host: true, + port: 5173, + proxy: { + '/api': { + target: 'http://backend:8000', + changeOrigin: true, + }, + }, + }, +}) diff --git a/imports/.gitkeep b/imports/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/imports/README.txt b/imports/README.txt new file mode 100644 index 0000000..02967a0 --- /dev/null +++ b/imports/README.txt @@ -0,0 +1 @@ +CSV import files go here diff --git a/quick-transfer.sh b/quick-transfer.sh new file mode 100755 index 0000000..95e8240 --- /dev/null +++ b/quick-transfer.sh @@ -0,0 +1,35 @@ +#!/bin/bash + +# Quick transfer script - sends all necessary files to server + +SERVER="pi@starship2" +REMOTE_DIR="~/fidelity" + +echo "Transferring files to $SERVER..." +echo "" + +# Critical fix files +echo "1. Transferring ULTIMATE_FIX.sh..." +scp ULTIMATE_FIX.sh $SERVER:$REMOTE_DIR/ + +echo "2. Transferring diagnose-307.sh..." +scp diagnose-307.sh $SERVER:$REMOTE_DIR/ + +echo "3. Transferring docker-compose.yml (with fixed healthcheck)..." +scp docker-compose.yml $SERVER:$REMOTE_DIR/ + +echo "4. Transferring main.py (without redirect_slashes)..." +scp backend/app/main.py $SERVER:$REMOTE_DIR/backend/app/ + +echo "5. Transferring README..." +scp READ_ME_FIRST.md $SERVER:$REMOTE_DIR/ + +echo "" +echo "✓ All files transferred!" +echo "" +echo "Next steps:" +echo " 1. ssh $SERVER" +echo " 2. cd ~/fidelity" +echo " 3. cat READ_ME_FIRST.md" +echo " 4. ./ULTIMATE_FIX.sh" +echo "" diff --git a/start-linux.sh b/start-linux.sh new file mode 100755 index 0000000..f9a0c05 --- /dev/null +++ b/start-linux.sh @@ -0,0 +1,115 @@ +#!/bin/bash + +# myFidelityTracker Start Script (Linux) + +echo "🚀 Starting myFidelityTracker..." +echo "" + +# Check if Docker is running +if ! docker info > /dev/null 2>&1; then + echo "❌ Docker is not running. Please start Docker and try again." + echo " On Linux: sudo systemctl start docker" + exit 1 +fi + +# Check if docker compose is available (V2 or V1) +if docker compose version &> /dev/null; then + DOCKER_COMPOSE="docker compose" +elif command -v docker-compose &> /dev/null; then + DOCKER_COMPOSE="docker-compose" +else + echo "❌ Docker Compose not found. Please install it:" + echo " sudo apt-get install docker-compose-plugin # Debian/Ubuntu" + echo " sudo yum install docker-compose-plugin # CentOS/RHEL" + exit 1 +fi + +echo "📦 Using: $DOCKER_COMPOSE" + +# Check if .env exists, if not copy from example +if [ ! -f .env ]; then + echo "📝 Creating .env file from .env.example..." + cp .env.example .env +fi + +# Create imports directory if it doesn't exist +mkdir -p imports + +# Copy sample CSV if it exists in the root +if [ -f "History_for_Account_X38661988.csv" ] && [ ! -f "imports/History_for_Account_X38661988.csv" ]; then + echo "📋 Copying sample CSV to imports directory..." + cp History_for_Account_X38661988.csv imports/ +fi + +# Start services +echo "🐳 Starting Docker containers..." +$DOCKER_COMPOSE up -d + +# Wait for services to be healthy +echo "" +echo "⏳ Waiting for services to be ready..." +sleep 5 + +# Check if backend is up +echo "🔍 Checking backend health..." +for i in {1..30}; do + if curl -s http://localhost:8000/health > /dev/null 2>&1; then + echo "✅ Backend is ready!" + break + fi + if [ $i -eq 30 ]; then + echo "⚠️ Backend is taking longer than expected to start" + echo " Check logs with: docker compose logs backend" + fi + sleep 2 +done + +# Check if frontend is up +echo "🔍 Checking frontend..." +for i in {1..20}; do + if curl -s http://localhost:3000 > /dev/null 2>&1; then + echo "✅ Frontend is ready!" + break + fi + if [ $i -eq 20 ]; then + echo "⚠️ Frontend is taking longer than expected to start" + echo " Check logs with: docker compose logs frontend" + fi + sleep 2 +done + +# Get server IP +SERVER_IP=$(hostname -I | awk '{print $1}') + +echo "" +echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━" +echo "✨ myFidelityTracker is running!" +echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━" +echo "" +echo "🌐 Access from this server:" +echo " Frontend: http://localhost:3000" +echo " Backend: http://localhost:8000" +echo " API Docs: http://localhost:8000/docs" +echo "" +echo "🌐 Access from other computers:" +echo " Frontend: http://${SERVER_IP}:3000" +echo " Backend: http://${SERVER_IP}:8000" +echo " API Docs: http://${SERVER_IP}:8000/docs" +echo "" +echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━" +echo "" +echo "📖 Quick Start Guide:" +echo " 1. Open http://${SERVER_IP}:3000 in your browser" +echo " 2. Go to the 'Accounts' tab to create your first account" +echo " 3. Go to the 'Import' tab to upload a Fidelity CSV file" +echo " 4. View your dashboard with performance metrics" +echo "" +echo "🌱 To seed demo data (optional):" +echo " docker compose exec backend python seed_demo_data.py" +echo "" +echo "📊 To view logs:" +echo " docker compose logs -f" +echo "" +echo "🛑 To stop:" +echo " ./stop.sh or docker compose down" +echo "" diff --git a/start.sh b/start.sh new file mode 100755 index 0000000..2ea3523 --- /dev/null +++ b/start.sh @@ -0,0 +1,91 @@ +#!/bin/bash + +# myFidelityTracker Start Script + +echo "🚀 Starting myFidelityTracker..." +echo "" + +# Check if Docker is running +if ! docker info > /dev/null 2>&1; then + echo "❌ Docker is not running. Please start Docker Desktop and try again." + exit 1 +fi + +# Check if .env exists, if not copy from example +if [ ! -f .env ]; then + echo "📝 Creating .env file from .env.example..." + cp .env.example .env +fi + +# Create imports directory if it doesn't exist +mkdir -p imports + +# Copy sample CSV if it exists in the root +if [ -f "History_for_Account_X38661988.csv" ] && [ ! -f "imports/History_for_Account_X38661988.csv" ]; then + echo "📋 Copying sample CSV to imports directory..." + cp History_for_Account_X38661988.csv imports/ +fi + +# Start services +echo "🐳 Starting Docker containers..." +docker-compose up -d + +# Wait for services to be healthy +echo "" +echo "⏳ Waiting for services to be ready..." +sleep 5 + +# Check if backend is up +echo "🔍 Checking backend health..." +for i in {1..30}; do + if curl -s http://localhost:8000/health > /dev/null 2>&1; then + echo "✅ Backend is ready!" + break + fi + if [ $i -eq 30 ]; then + echo "⚠️ Backend is taking longer than expected to start" + echo " Check logs with: docker-compose logs backend" + fi + sleep 2 +done + +# Check if frontend is up +echo "🔍 Checking frontend..." +for i in {1..20}; do + if curl -s http://localhost:3000 > /dev/null 2>&1; then + echo "✅ Frontend is ready!" + break + fi + if [ $i -eq 20 ]; then + echo "⚠️ Frontend is taking longer than expected to start" + echo " Check logs with: docker-compose logs frontend" + fi + sleep 2 +done + +echo "" +echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━" +echo "✨ myFidelityTracker is running!" +echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━" +echo "" +echo "🌐 Frontend: http://localhost:3000" +echo "🔌 Backend: http://localhost:8000" +echo "📚 API Docs: http://localhost:8000/docs" +echo "" +echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━" +echo "" +echo "📖 Quick Start Guide:" +echo " 1. Open http://localhost:3000 in your browser" +echo " 2. Go to the 'Accounts' tab to create your first account" +echo " 3. Go to the 'Import' tab to upload a Fidelity CSV file" +echo " 4. View your dashboard with performance metrics" +echo "" +echo "🌱 To seed demo data (optional):" +echo " docker-compose exec backend python seed_demo_data.py" +echo "" +echo "📊 To view logs:" +echo " docker-compose logs -f" +echo "" +echo "🛑 To stop:" +echo " ./stop.sh or docker-compose down" +echo "" diff --git a/stop.sh b/stop.sh new file mode 100755 index 0000000..e0e1022 --- /dev/null +++ b/stop.sh @@ -0,0 +1,20 @@ +#!/bin/bash + +# myFidelityTracker Stop Script + +echo "🛑 Stopping myFidelityTracker..." + +# Check if docker compose is available (V2 or V1) +if docker compose version &> /dev/null; then + docker compose down +elif command -v docker-compose &> /dev/null; then + docker-compose down +else + echo "❌ Docker Compose not found" + exit 1 +fi + +echo "✅ All services stopped" +echo "" +echo "💡 To restart: ./start-linux.sh or docker compose up -d" +echo "🗑️ To remove all data: docker compose down -v"