eea4469095
- 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 <noreply@anthropic.com>
39 lines
910 B
Python
39 lines
910 B
Python
"""
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Database configuration and session management.
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Provides SQLAlchemy engine and session factory.
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"""
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from sqlalchemy import create_engine
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from sqlalchemy.ext.declarative import declarative_base
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from sqlalchemy.orm import sessionmaker
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from app.config import settings
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# Create SQLAlchemy engine
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engine = create_engine(
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settings.database_url,
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pool_pre_ping=True, # Enable connection health checks
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pool_size=10,
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max_overflow=20
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)
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# Create session factory
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SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
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# Base class for SQLAlchemy models
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Base = declarative_base()
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def get_db():
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"""
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Dependency function that provides a database session.
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Automatically closes the session after the request is completed.
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Yields:
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Session: SQLAlchemy database session
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"""
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db = SessionLocal()
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try:
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yield db
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finally:
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db.close()
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