7186d4582a
- 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>
44 lines
2.4 KiB
SQL
44 lines
2.4 KiB
SQL
-- pSEO article data: per-country padel market overview.
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-- One row per country — consumed by the country-overview.md.jinja template.
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-- Aggregates city-level data from pseo_city_costs_de.
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--
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-- top_city_slugs / top_city_names are ordered lists (up to 5) used to generate
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-- internal links from the country hub to its top city pages.
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MODEL (
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name serving.pseo_country_overview,
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kind FULL,
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cron '@daily',
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grain country_slug
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);
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SELECT
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country_code,
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country_name_en,
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country_slug,
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COUNT(*) AS city_count,
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SUM(padel_venue_count) AS total_venues,
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ROUND(AVG(market_score), 1) AS avg_market_score,
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MAX(market_score) AS top_city_market_score,
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-- Top 5 cities by market score for internal linking (DuckDB list slice syntax)
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LIST(city_slug ORDER BY market_score DESC NULLS LAST)[1:5] AS top_city_slugs,
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LIST(city_name ORDER BY market_score DESC NULLS LAST)[1:5] AS top_city_names,
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-- Opportunity score aggregates (NULL-safe: cities without geoname_id match excluded from AVG)
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ROUND(AVG(opportunity_score), 1) AS avg_opportunity_score,
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MAX(opportunity_score) AS top_opportunity_score,
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-- Top 5 cities by opportunity score (may differ from top market score cities)
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LIST(city_slug ORDER BY opportunity_score DESC NULLS LAST)[1:5] AS top_opportunity_slugs,
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LIST(city_name ORDER BY opportunity_score DESC NULLS LAST)[1:5] AS top_opportunity_names,
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-- Pricing medians across cities (NULL when no Playtomic coverage in country)
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ROUND(MEDIAN(median_hourly_rate), 0) AS median_hourly_rate,
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ROUND(MEDIAN(median_peak_rate), 0) AS median_peak_rate,
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ROUND(MEDIAN(median_offpeak_rate), 0) AS median_offpeak_rate,
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-- Use the most common currency in the country (MIN is deterministic for single-currency countries)
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MIN(price_currency) AS price_currency,
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SUM(population) AS total_population,
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CURRENT_DATE AS refreshed_date
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FROM serving.pseo_city_costs_de
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GROUP BY country_code, country_name_en, country_slug
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-- Only countries with enough cities to be worth a hub page
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HAVING COUNT(*) >= 2
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