3 Commits

Author	SHA1	Message	Date
lmiranda	c9cf744d84	feat: Complete Phase 5 dashboard implementation ... Implement full 5-tab Toronto Neighbourhood Dashboard with real data connectivity: Dashboard Structure: - Overview tab with livability scores and rankings - Housing tab with affordability metrics - Safety tab with crime statistics - Demographics tab with population/income data - Amenities tab with parks, schools, transit Figure Factories (portfolio_app/figures/): - bar_charts.py: ranking, stacked, horizontal bars - scatter.py: scatter plots, bubble charts - radar.py: spider/radar charts - demographics.py: donut, age pyramid, income distribution Service Layer (portfolio_app/toronto/services/): - neighbourhood_service.py: queries dbt marts for all tab data - geometry_service.py: generates GeoJSON from PostGIS - Graceful error handling when database unavailable Callbacks (portfolio_app/pages/toronto/callbacks/): - map_callbacks.py: choropleth updates, map click handling - chart_callbacks.py: supporting chart updates - selection_callbacks.py: dropdown handlers, KPI updates Data Pipeline (scripts/data/): - load_toronto_data.py: orchestration script with CLI flags Lessons Learned: - Graceful error handling in service layers - Modular callback structure for multi-tab dashboards - Figure factory pattern for reusable charts Closes: #64, #65, #66, #67, #68, #69, #70 Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>	2026-01-17 11:46:18 -05:00
lmiranda	140d3085bf	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>	2026-01-11 21:50:45 -05:00
lmiranda	c7e9b88adb	feat: project bootstrap and structure ... Sprint 1 initialization: - Project directory structure (portfolio_app/, tests/, dbt/, data/, scripts/) - CLAUDE.md with AI assistant context - pyproject.toml with all dependencies - docker-compose.yml for PostgreSQL 16 + PostGIS - Makefile with standard targets - Pre-commit configuration (ruff, mypy) - Environment template (.env.example) - Error handling foundation (PortfolioError hierarchy) - Test configuration (conftest.py, pytest config) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>	2026-01-11 13:49:28 -05:00