personal-projects/personal-portfolio
Template
1
1
Fork 0
Code Issues 3 Pull Requests Actions Packages Projects 1 Releases Wiki Activity
91 Commits 3 Branches 1 Tag
62d1a52eed0802e7f4a190258c76020f51a44862
Commit Graph

4 Commits

Author SHA1 Message Date
l3ocho
a5d6866d63 feat(contact): implement Formspree contact form submission
Some checks failed
CI / lint-and-test (push) Has been cancelled
Details 
- Enable contact form fields with component IDs
- Add callback for Formspree POST with JSON/AJAX
- Include honeypot spam protection (_gotcha field)
- Handle validation, loading, success/error states
- Clear form on successful submission
- Add lessons learned documentation

Closes #92, #93, #94

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-02-01 15:00:04 -05:00
lmiranda
1a878313f8 docs: Add Sprint 9 lessons learned 
Captured two lessons from Sprint 9:
1. Gitea Labels API requires org context - workaround for user repos
2. Always read CLAUDE.md before asking questions about sprint context

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-01-17 12:13:35 -05:00
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
3054441630 docs: Add local lessons learned backup system 
- Create docs/project-lessons-learned/ for local lesson storage
- Add INDEX.md with lesson template and index table
- Document Phase 4 dbt test syntax deprecation lesson
- Update CLAUDE.md with backup method when Wiki.js unavailable

This provides a fallback for capturing lessons learned while
Wiki.js integration is being configured.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-01-16 11:52:06 -05:00