feat: Sprint 6 polish - methodology, demo data, deployment prep

- Add policy event markers to time series charts
- Create methodology page (/toronto/methodology) with data sources
- Add demo data module for testing without full pipeline
- Update README with project documentation
- Add health check endpoint (/health)
- Add database initialization script
- Export new figure factory functions

Closes #21

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
2026-01-11 21:50:45 -05:00
parent ad6ee3d37f
commit 140d3085bf
7 changed files with 849 additions and 4 deletions

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"""Health check endpoint for deployment monitoring."""
import dash
from dash import html
dash.register_page(
__name__,
path="/health",
title="Health Check",
)
def layout() -> html.Div:
"""Return simple health check response."""
return html.Div(
[
html.Pre("status: ok"),
],
id="health-check",
)

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"""Methodology page for Toronto Housing Dashboard."""
import dash
import dash_mantine_components as dmc
from dash import html
dash.register_page(
__name__,
path="/toronto/methodology",
title="Methodology | Toronto Housing Dashboard",
description="Data sources, methodology, and limitations for the Toronto Housing Dashboard",
)
def layout() -> dmc.Container:
"""Render the methodology page layout."""
return dmc.Container(
size="md",
py="xl",
children=[
# Header
dmc.Title("Methodology", order=1, mb="lg"),
dmc.Text(
"This page documents the data sources, processing methodology, "
"and known limitations of the Toronto Housing Dashboard.",
size="lg",
c="dimmed",
mb="xl",
),
# Data Sources Section
dmc.Paper(
p="lg",
radius="md",
withBorder=True,
mb="lg",
children=[
dmc.Title("Data Sources", order=2, mb="md"),
# TRREB
dmc.Title("Purchase Data: TRREB", order=3, size="h4", mb="sm"),
dmc.Text(
[
"The Toronto Regional Real Estate Board (TRREB) publishes monthly ",
html.Strong("Market Watch"),
" reports containing aggregate statistics for residential real estate "
"transactions across the Greater Toronto Area.",
],
mb="sm",
),
dmc.List(
[
dmc.ListItem("Source: TRREB Market Watch Reports (PDF)"),
dmc.ListItem("Geographic granularity: ~35 TRREB Districts"),
dmc.ListItem("Temporal granularity: Monthly"),
dmc.ListItem("Coverage: 2021-present"),
dmc.ListItem(
[
"Metrics: Sales count, average/median price, new listings, ",
"active listings, days on market, sale-to-list ratio",
]
),
],
mb="md",
),
dmc.Anchor(
"TRREB Market Watch Archive",
href="https://trreb.ca/market-data/market-watch/market-watch-archive/",
target="_blank",
mb="lg",
),
# CMHC
dmc.Title(
"Rental Data: CMHC", order=3, size="h4", mb="sm", mt="md"
),
dmc.Text(
[
"Canada Mortgage and Housing Corporation (CMHC) conducts the annual ",
html.Strong("Rental Market Survey"),
" providing rental market statistics for major urban centres.",
],
mb="sm",
),
dmc.List(
[
dmc.ListItem("Source: CMHC Rental Market Survey (Excel)"),
dmc.ListItem(
"Geographic granularity: ~20 CMHC Zones (Census Tract aligned)"
),
dmc.ListItem(
"Temporal granularity: Annual (October survey)"
),
dmc.ListItem("Coverage: 2021-present"),
dmc.ListItem(
[
"Metrics: Average/median rent, vacancy rate, universe count, ",
"turnover rate, year-over-year rent change",
]
),
],
mb="md",
),
dmc.Anchor(
"CMHC Housing Market Information Portal",
href="https://www.cmhc-schl.gc.ca/professionals/housing-markets-data-and-research/housing-data/data-tables/rental-market",
target="_blank",
),
],
),
# Geographic Considerations
dmc.Paper(
p="lg",
radius="md",
withBorder=True,
mb="lg",
children=[
dmc.Title("Geographic Considerations", order=2, mb="md"),
dmc.Alert(
title="Important: Non-Aligned Geographies",
color="yellow",
mb="md",
children=[
"TRREB Districts and CMHC Zones do ",
html.Strong("not"),
" align geographically. They are displayed as separate layers and "
"should not be directly compared at the sub-regional level.",
],
),
dmc.Text(
"The dashboard presents three geographic layers:",
mb="sm",
),
dmc.List(
[
dmc.ListItem(
[
html.Strong("TRREB Districts (~35): "),
"Used for purchase/sales data visualization. "
"Districts are defined by TRREB and labeled with codes like W01, C01, E01.",
]
),
dmc.ListItem(
[
html.Strong("CMHC Zones (~20): "),
"Used for rental data visualization. "
"Zones are aligned with Census Tract boundaries.",
]
),
dmc.ListItem(
[
html.Strong("City Neighbourhoods (158): "),
"Reference overlay only. "
"These are official City of Toronto neighbourhood boundaries.",
]
),
],
),
],
),
# Policy Events
dmc.Paper(
p="lg",
radius="md",
withBorder=True,
mb="lg",
children=[
dmc.Title("Policy Event Annotations", order=2, mb="md"),
dmc.Text(
"The time series charts include markers for significant policy events "
"that may have influenced housing market conditions. These annotations are "
"for contextual reference only.",
mb="md",
),
dmc.Alert(
title="No Causation Claims",
color="blue",
children=[
"The presence of a policy marker near a market trend change does ",
html.Strong("not"),
" imply causation. Housing markets are influenced by numerous factors "
"beyond policy interventions.",
],
),
],
),
# Limitations
dmc.Paper(
p="lg",
radius="md",
withBorder=True,
mb="lg",
children=[
dmc.Title("Limitations", order=2, mb="md"),
dmc.List(
[
dmc.ListItem(
[
html.Strong("Aggregate Data: "),
"All statistics are aggregates. Individual property characteristics, "
"condition, and micro-location are not reflected.",
]
),
dmc.ListItem(
[
html.Strong("Reporting Lag: "),
"TRREB data reflects closed transactions, which may lag market "
"conditions by 1-3 months. CMHC data is annual.",
]
),
dmc.ListItem(
[
html.Strong("Geographic Boundaries: "),
"TRREB district boundaries were manually digitized from reference maps "
"and may contain minor inaccuracies.",
]
),
dmc.ListItem(
[
html.Strong("Data Suppression: "),
"Some cells may be suppressed for confidentiality when transaction "
"counts are below thresholds.",
]
),
],
),
],
),
# Technical Implementation
dmc.Paper(
p="lg",
radius="md",
withBorder=True,
children=[
dmc.Title("Technical Implementation", order=2, mb="md"),
dmc.Text("This dashboard is built with:", mb="sm"),
dmc.List(
[
dmc.ListItem("Python 3.11+ with Dash and Plotly"),
dmc.ListItem("PostgreSQL with PostGIS for geospatial data"),
dmc.ListItem("dbt for data transformation"),
dmc.ListItem("Pydantic for data validation"),
dmc.ListItem("SQLAlchemy 2.0 for database operations"),
],
mb="md",
),
dmc.Anchor(
"View source code on GitHub",
href="https://github.com/lmiranda/personal-portfolio",
target="_blank",
),
],
),
# Back link
dmc.Group(
mt="xl",
children=[
dmc.Anchor(
"← Back to Dashboard",
href="/toronto",
size="lg",
),
],
),
],
)