-- City dimension: canonical city records with venue count and country metadata.
-- Built from venue locations (dim_venues) as the primary source — padelnomics
-- tracks cities where padel venues actually exist, not an administrative city list.
--
-- Conformed dimension: used by city_market_profile and all pSEO serving models.
-- Integrates two sources:
--   dim_venues    → city list, venue count, coordinates (Playtomic + OSM)
--   stg_income    → country-level median income (Eurostat)
--
-- Population note: Eurostat uses coded identifiers (e.g. DE001C = Berlin) with no
-- city name column in the dataset we extract. City-level population requires a
-- separate code→name lookup extract (future improvement). Population is set to 0
-- until that source is available; market_score degrades gracefully.
--
-- Grain: (country_code, city_slug) — two cities in different countries can share a
-- city name. QUALIFY enforces no duplicate (country_code, city_slug) pairs.

MODEL (
  name foundation.dim_cities,
  kind FULL,
  cron '@daily',
  grain (country_code, city_slug)
);

WITH
-- Primary: distinct cities from dim_venues (canonical padel city list)
venue_cities AS (
  SELECT
    country_code,
    city                                                     AS city_name,
    -- Lowercase before regex so uppercase letters aren't stripped to '-'
    LOWER(REGEXP_REPLACE(LOWER(city), '[^a-z0-9]+', '-'))    AS city_slug,
    COUNT(*)                                                 AS padel_venue_count,
    AVG(lat)                                                 AS centroid_lat,
    AVG(lon)                                                 AS centroid_lon
  FROM foundation.dim_venues
  WHERE city IS NOT NULL AND LENGTH(city) > 0
  GROUP BY country_code, city
),
-- Latest country income per country
country_income AS (
  SELECT country_code, median_income_pps, ref_year AS income_year
  FROM staging.stg_income
  QUALIFY ROW_NUMBER() OVER (PARTITION BY country_code ORDER BY ref_year DESC) = 1
)
SELECT
  vc.country_code,
  vc.city_slug,
  vc.city_name,
  -- Human-readable country name for pSEO templates and internal linking
  CASE vc.country_code
    WHEN 'DE' THEN 'Germany'
    WHEN 'ES' THEN 'Spain'
    WHEN 'GB' THEN 'United Kingdom'
    WHEN 'FR' THEN 'France'
    WHEN 'IT' THEN 'Italy'
    WHEN 'PT' THEN 'Portugal'
    WHEN 'AT' THEN 'Austria'
    WHEN 'CH' THEN 'Switzerland'
    WHEN 'NL' THEN 'Netherlands'
    WHEN 'BE' THEN 'Belgium'
    WHEN 'SE' THEN 'Sweden'
    WHEN 'NO' THEN 'Norway'
    WHEN 'DK' THEN 'Denmark'
    WHEN 'FI' THEN 'Finland'
    WHEN 'US' THEN 'United States'
    WHEN 'AR' THEN 'Argentina'
    WHEN 'MX' THEN 'Mexico'
    WHEN 'AE' THEN 'UAE'
    WHEN 'AU' THEN 'Australia'
    WHEN 'IE' THEN 'Ireland'
    ELSE vc.country_code
  END                                                        AS country_name_en,
  -- URL-safe country slug
  LOWER(REGEXP_REPLACE(
    CASE vc.country_code
      WHEN 'DE' THEN 'Germany'
      WHEN 'ES' THEN 'Spain'
      WHEN 'GB' THEN 'United Kingdom'
      WHEN 'FR' THEN 'France'
      WHEN 'IT' THEN 'Italy'
      WHEN 'PT' THEN 'Portugal'
      WHEN 'AT' THEN 'Austria'
      WHEN 'CH' THEN 'Switzerland'
      WHEN 'NL' THEN 'Netherlands'
      WHEN 'BE' THEN 'Belgium'
      WHEN 'SE' THEN 'Sweden'
      WHEN 'NO' THEN 'Norway'
      WHEN 'DK' THEN 'Denmark'
      WHEN 'FI' THEN 'Finland'
      WHEN 'US' THEN 'United States'
      WHEN 'AR' THEN 'Argentina'
      WHEN 'MX' THEN 'Mexico'
      WHEN 'AE' THEN 'UAE'
      WHEN 'AU' THEN 'Australia'
      WHEN 'IE' THEN 'Ireland'
      ELSE vc.country_code
    END, '[^a-zA-Z0-9]+', '-'
  ))                                                         AS country_slug,
  vc.centroid_lat                                            AS lat,
  vc.centroid_lon                                            AS lon,
  -- Population: requires code→name Eurostat lookup (not yet extracted); defaults to 0.
  -- market_score uses LOG(GREATEST(population, 1)) so 0 degrades score gracefully.
  0::BIGINT                                                  AS population,
  0::INTEGER                                                 AS population_year,
  vc.padel_venue_count,
  ci.median_income_pps,
  ci.income_year
FROM venue_cities vc
LEFT JOIN country_income ci ON vc.country_code = ci.country_code
-- Enforce grain: if two cities in the same country have the same slug
-- (e.g. 'São Paulo' and 'Sao Paulo'), keep the one with more venues
QUALIFY ROW_NUMBER() OVER (
  PARTITION BY vc.country_code, vc.city_slug
  ORDER BY vc.padel_venue_count DESC NULLS LAST
) = 1