4e82907a70
Propagates the conformed city key (city_slug) from dim_venues through the full pricing pipeline, eliminating 3 fragile LOWER(TRIM(...)) fuzzy string joins with deterministic key joins. Changes (cascading, task-by-task): - dim_venues: add city_slug computed column (REGEXP_REPLACE slug derivation) - dim_venue_capacity: join foundation.dim_venues instead of stg_playtomic_venues; carry city_slug alongside country_code/city - fct_daily_availability: carry city_slug from dim_venue_capacity - venue_pricing_benchmarks: carry city_slug from fct_daily_availability; add to venue_stats GROUP BY and final SELECT/GROUP BY - city_market_profile: join vpb on city_slug = city_slug (was LOWER(TRIM)) - planner_defaults: add city_slug to city_benchmarks CTE; join on city_slug - pseo_city_pricing: join city_market_profile on city_slug (was LOWER(TRIM)) - pipeline_routes._DAG: dim_venue_capacity now depends on dim_venues, not stg_playtomic_venues Result: dim_venues.city_slug → dim_cities.(country_code, city_slug) forms a fully conformed geographic hierarchy with no fuzzy string comparisons. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
47 lines
1.5 KiB
SQL
47 lines
1.5 KiB
SQL
-- pSEO article data: per-city padel court pricing.
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-- One row per city — consumed by the city-pricing.md.jinja template.
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-- Joins venue_pricing_benchmarks (real Playtomic data) with city_market_profile
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-- (population, venue count, country metadata).
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--
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-- Stricter filter than pseo_city_costs_de: requires >= 2 venues with real
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-- pricing data so pricing articles are always data-backed.
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MODEL (
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name serving.pseo_city_pricing,
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kind FULL,
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cron '@daily',
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grain city_key
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);
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SELECT
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-- Composite natural key: country_slug + city_slug ensures uniqueness across countries
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c.country_slug || '-' || c.city_slug AS city_key,
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-- City identity (from city_market_profile, which has the canonical city_slug)
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c.city_slug,
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c.city_name,
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c.country_code,
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c.country_name_en,
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c.country_slug,
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-- Market context
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c.population,
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c.padel_venue_count,
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c.venues_per_100k,
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c.market_score,
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-- Pricing benchmarks (from Playtomic availability data)
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vpb.median_hourly_rate,
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vpb.median_peak_rate,
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vpb.median_offpeak_rate,
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vpb.hourly_rate_p25,
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vpb.hourly_rate_p75,
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vpb.median_occupancy_rate,
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vpb.venue_count,
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vpb.price_currency,
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CURRENT_DATE AS refreshed_date
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FROM serving.venue_pricing_benchmarks vpb
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-- Join city_market_profile to get the canonical city_slug and country metadata
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INNER JOIN serving.city_market_profile c
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ON vpb.country_code = c.country_code
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AND vpb.city_slug = c.city_slug
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-- Only cities with enough venues for meaningful pricing statistics
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WHERE vpb.venue_count >= 2
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