Two targeted fixes for inflated country scores (ES 83, SE 77):
1. pseo_country_overview: replace AVG() with population-weighted averages
for avg_opportunity_score and avg_market_score. Madrid/Barcelona now
dominate Spain's average instead of hundreds of 30K-town white-space
towns. Expected ES drop from ~83 to ~55-65.
2. location_opportunity_profile: replace dead sports culture component
(10 pts, tennis data all zeros) with market validation signal.
New country_market CTE aggregates city_market_profile per country_code.
ES (~60/100) → ~6 pts (proven demand). SE (~35/100) → ~3.5 pts
(struggling market). NULL → 0.5 neutral → 5 pts (untested market).
Score budget unchanged: 25+20+30+15+10 = 100 pts.
New dependency: location_opportunity_profile → serving.city_market_profile (no cycle).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add @slugify SQLMesh macro (STRIP_ACCENTS + ß→ss) replacing broken
inline REGEXP_REPLACE that dropped non-ASCII chars (Düsseldorf → d-sseldorf)
- Apply @slugify to dim_venues, dim_cities, dim_locations
- Fix Python slugify() to pre-replace ß→ss before NFKD normalization
- Add language prefix to B2B article market links (/markets/germany → /de/markets/germany)
- Change country overview top-5 ranking: venue count (not raw market_score)
for top cities, population for top opportunity cities
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- dim_cities: add geoname_id to geonames_pop CTE and final SELECT
Creates FK between dim_cities (city-with-padel-venues) and dim_locations (all GeoNames),
enabling joins to location_opportunity_profile for the first time.
- city_market_profile: pass geoname_id through base CTE and final SELECT
- pseo_city_costs_de: LEFT JOIN location_opportunity_profile on (country_code, geoname_id),
add opportunity_score to output columns
- pseo_country_overview: add avg_opportunity_score, top_opportunity_score, top_opportunity_slugs,
top_opportunity_names aggregates
Cities with no GeoNames name match get opportunity_score = NULL; templates guard with
{% if opportunity_score %}.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
