SQLMesh's extensions config supports dict form with 'repository' key,
which runs INSTALL h3 FROM community + LOAD h3 automatically at connect
time. No manual one-time install needed per machine.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Add H3 res-4 regional catchment metrics (~15-18km radius, cell + 6
neighbours) to both the addressable market (25pts) and supply gap
(30pts) components of location_opportunity_profile.
Changes:
- config.yaml: add h3 to DuckDB extensions (requires one-time
INSTALL h3 FROM community on each machine)
- dim_locations: add h3_cell_res4 column via h3_latlng_to_cell()
- location_opportunity_profile: add hex_stats + catchment CTEs;
update score formula to use catchment_population and
catchment_padel_courts; expose catchment_population,
catchment_padel_courts, catchment_venues_per_100k as output cols
Motivation: local population underestimates functional market for
mid-size cities (e.g. Oldenburg ~170K misses surrounding Gemeinden).
H3 k_ring(1) captures the realistic driving-distance catchment
(~462km²) consistently across both score components.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add GEONAMES_USERNAME=padelnomics and CENSUS_API_KEY to .env.dev.sops and .env.prod.sops
- Enable DuckDB spatial extension in SQLMesh config.yaml (ST_Distance_Sphere for distance calcs + future map features)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
git mv all tracked files from the nested padelnomics/ workspace
directory to the git repo root. Merged .gitignore files.
No code changes — pure path rename.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
