lmiranda
c9cf744d84
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>
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Project Lessons Learned
This folder contains lessons learned from sprints and development work. These lessons help prevent repeating mistakes and capture valuable insights.
Note: This is a temporary local backup while Wiki.js integration is being configured. Once Wiki.js is ready, lessons will be migrated there for better searchability.
Lessons Index
| Date | Sprint/Phase | Title | Tags |
|---|---|---|---|
| 2026-01-17 | Sprint 9-10 | Graceful Error Handling in Service Layers | python, postgresql, error-handling, dash, graceful-degradation, arm64 |
| 2026-01-17 | Sprint 9-10 | Modular Callback Structure | dash, callbacks, architecture, python, code-organization |
| 2026-01-17 | Sprint 9-10 | Figure Factory Pattern | plotly, dash, design-patterns, python, visualization |
| 2026-01-16 | Phase 4 | dbt Test Syntax Deprecation | dbt, testing, yaml, deprecation |
How to Use
When Starting a Sprint
- Review relevant lessons in this folder before implementation
- Search by tags or keywords to find applicable insights
- Apply prevention strategies from past lessons
When Closing a Sprint
- Document any significant lessons learned
- Use the template below
- Add entry to the index table above
Lesson Template
# [Sprint/Phase] - [Lesson Title]
## Context
[What were you trying to do?]
## Problem
[What went wrong or what insight emerged?]
## Solution
[How did you solve it?]
## Prevention
[How can this be avoided in future sprints?]
## Tags
[Comma-separated tags for search]