lmiranda
fcaefabce8
- Remove DimTRREBDistrict model and FactPurchases model - Remove TRREBDistrict schema and AreaType enum - Remove TRREBDistrictParser from geo parsers - Remove load_trreb_districts from dimension loaders - Remove create_district_map from choropleth figures - Remove get_demo_districts and get_demo_purchase_data from demo_data - Update summary metrics to remove purchase-related metrics - Update callbacks to remove TRREB-related comments - Update methodology page to remove TRREB data source section - Update dashboard data notice to remove TRREB mention Closes #49 Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
91 lines
3.4 KiB
Python
91 lines
3.4 KiB
Python
"""SQLAlchemy models for dimension tables."""
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from datetime import date
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from geoalchemy2 import Geometry
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from sqlalchemy import Boolean, Date, Integer, Numeric, String, Text
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from sqlalchemy.orm import Mapped, mapped_column
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from .base import Base
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class DimTime(Base):
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"""Time dimension table."""
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__tablename__ = "dim_time"
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date_key: Mapped[int] = mapped_column(Integer, primary_key=True)
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full_date: Mapped[date] = mapped_column(Date, nullable=False, unique=True)
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year: Mapped[int] = mapped_column(Integer, nullable=False)
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month: Mapped[int] = mapped_column(Integer, nullable=False)
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quarter: Mapped[int] = mapped_column(Integer, nullable=False)
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month_name: Mapped[str] = mapped_column(String(20), nullable=False)
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is_month_start: Mapped[bool] = mapped_column(Boolean, default=True)
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class DimCMHCZone(Base):
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"""CMHC zone dimension table with PostGIS geometry."""
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__tablename__ = "dim_cmhc_zone"
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zone_key: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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zone_code: Mapped[str] = mapped_column(String(10), nullable=False, unique=True)
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zone_name: Mapped[str] = mapped_column(String(100), nullable=False)
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geometry = mapped_column(Geometry("POLYGON", srid=4326), nullable=True)
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class DimNeighbourhood(Base):
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"""City of Toronto neighbourhood dimension.
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Note: No FK to fact tables in V1 - reference overlay only.
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"""
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__tablename__ = "dim_neighbourhood"
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neighbourhood_id: Mapped[int] = mapped_column(Integer, primary_key=True)
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name: Mapped[str] = mapped_column(String(100), nullable=False)
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geometry = mapped_column(Geometry("POLYGON", srid=4326), nullable=True)
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population: Mapped[int | None] = mapped_column(Integer, nullable=True)
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land_area_sqkm: Mapped[float | None] = mapped_column(Numeric(10, 4), nullable=True)
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pop_density_per_sqkm: Mapped[float | None] = mapped_column(
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Numeric(10, 2), nullable=True
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)
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pct_bachelors_or_higher: Mapped[float | None] = mapped_column(
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Numeric(5, 2), nullable=True
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)
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median_household_income: Mapped[float | None] = mapped_column(
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Numeric(12, 2), nullable=True
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)
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pct_owner_occupied: Mapped[float | None] = mapped_column(
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Numeric(5, 2), nullable=True
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)
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pct_renter_occupied: Mapped[float | None] = mapped_column(
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Numeric(5, 2), nullable=True
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)
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census_year: Mapped[int] = mapped_column(Integer, default=2021)
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class DimPolicyEvent(Base):
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"""Policy event dimension for time-series annotation."""
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__tablename__ = "dim_policy_event"
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event_id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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event_date: Mapped[date] = mapped_column(Date, nullable=False)
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effective_date: Mapped[date | None] = mapped_column(Date, nullable=True)
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level: Mapped[str] = mapped_column(
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String(20), nullable=False
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) # federal/provincial/municipal
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category: Mapped[str] = mapped_column(
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String(20), nullable=False
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) # monetary/tax/regulatory/supply/economic
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title: Mapped[str] = mapped_column(String(200), nullable=False)
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description: Mapped[str | None] = mapped_column(Text, nullable=True)
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expected_direction: Mapped[str] = mapped_column(
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String(10), nullable=False
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) # bearish/bullish/neutral
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source_url: Mapped[str | None] = mapped_column(String(500), nullable=True)
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confidence: Mapped[str] = mapped_column(
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String(10), default="medium"
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) # high/medium/low
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