lmiranda
ead6d91a28
Sprint 3 implementation: - Pydantic schemas for TRREB, CMHC, and dimension data validation - SQLAlchemy models with PostGIS geometry for fact and dimension tables - Parser structure (stubs) for TRREB PDF and CMHC CSV processing Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
31 lines
778 B
Python
31 lines
778 B
Python
"""SQLAlchemy base configuration and engine setup."""
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from sqlalchemy import Engine, create_engine
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from sqlalchemy.orm import DeclarativeBase, Session, sessionmaker
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from portfolio_app.config import get_settings
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class Base(DeclarativeBase): # type: ignore[misc]
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"""Base class for all SQLAlchemy models."""
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pass
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def get_engine() -> Engine:
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"""Create database engine from settings."""
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settings = get_settings()
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return create_engine(settings.database_url, echo=False)
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def get_session_factory() -> sessionmaker[Session]:
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"""Create session factory."""
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engine = get_engine()
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return sessionmaker(bind=engine)
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def create_tables() -> None:
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"""Create all tables in database."""
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engine = get_engine()
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Base.metadata.create_all(engine)
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