a00c8727d7
- 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>
44 lines
2.5 KiB
SQL
44 lines
2.5 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 venue count (prominence), then score for internal linking
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LIST(city_slug ORDER BY padel_venue_count DESC, market_score DESC NULLS LAST)[1:5] AS top_city_slugs,
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LIST(city_name ORDER BY padel_venue_count DESC, 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 opportunity cities by population (prominence), then opportunity score
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LIST(city_slug ORDER BY population DESC, opportunity_score DESC NULLS LAST)[1:5] AS top_opportunity_slugs,
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LIST(city_name ORDER BY population DESC, 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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