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>
49 lines
1.6 KiB
SQL
49 lines
1.6 KiB
SQL
-- Venue capacity: total bookable court-hours per day and week.
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-- Derived from active court count × opening hours.
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-- Used as the denominator for occupancy rate in fct_daily_availability.
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--
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-- One row per venue (Playtomic tenant).
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-- Named dim_* because these are static venue attributes with no time key,
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-- not events or measurements.
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MODEL (
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name foundation.dim_venue_capacity,
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kind FULL,
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cron '@daily',
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grain tenant_id
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);
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WITH weekly_hours AS (
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SELECT
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tenant_id,
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SUM(hours_open) AS hours_open_per_week,
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AVG(hours_open) AS avg_hours_open_per_day,
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COUNT(*) AS days_open_per_week
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FROM staging.stg_playtomic_opening_hours
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GROUP BY tenant_id
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),
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court_counts AS (
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SELECT
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tenant_id,
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COUNT(*) AS active_court_count
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FROM staging.stg_playtomic_resources
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WHERE is_active = TRUE
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GROUP BY tenant_id
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)
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SELECT
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v.tenant_id,
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v.country_code,
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v.city,
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v.city_slug,
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cc.active_court_count,
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ROUND(wh.hours_open_per_week, 1) AS hours_open_per_week,
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ROUND(wh.avg_hours_open_per_day, 1) AS avg_hours_open_per_day,
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wh.days_open_per_week,
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-- Total bookable court-hours per day (capacity denominator for occupancy)
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ROUND(cc.active_court_count * wh.avg_hours_open_per_day, 1) AS capacity_court_hours_per_day,
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-- Total bookable court-hours per week
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ROUND(cc.active_court_count * wh.hours_open_per_week, 1) AS capacity_court_hours_per_week
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FROM foundation.dim_venues v
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JOIN court_counts cc ON v.tenant_id = cc.tenant_id
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JOIN weekly_hours wh ON v.tenant_id = wh.tenant_id
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