-- Per-city pricing and occupancy benchmarks from Playtomic availability data.
-- Aggregates venue-level daily metrics (last 30 days) into city-level benchmarks.
-- Consumed by: planner defaults (pre-fill), city market profile, SEO articles.
--
-- Minimum data threshold: venues with >= 3 days of observations.

MODEL (
  name serving.venue_pricing_benchmarks,
  kind FULL,
  cron '@daily',
  grain (country_code, city)
);

WITH venue_stats AS (
  -- Aggregate last 30 days per venue
  SELECT
    da.tenant_id,
    da.country_code,
    da.city,
    da.price_currency,
    AVG(da.occupancy_rate)                              AS avg_occupancy_rate,
    MEDIAN(da.median_price)                             AS median_hourly_rate,
    MEDIAN(da.median_price_peak)                        AS median_peak_rate,
    MEDIAN(da.median_price_offpeak)                     AS median_offpeak_rate,
    AVG(da.estimated_revenue_eur)                       AS avg_daily_revenue,
    MAX(da.active_court_count)                          AS court_count,
    COUNT(DISTINCT da.snapshot_date)                    AS days_observed
  FROM foundation.fct_daily_availability da
  WHERE TRY_CAST(da.snapshot_date AS DATE) >= CURRENT_DATE - INTERVAL '30 days'
    AND da.occupancy_rate IS NOT NULL
    AND da.occupancy_rate BETWEEN 0 AND 1.5
  GROUP BY da.tenant_id, da.country_code, da.city, da.price_currency
  HAVING COUNT(DISTINCT da.snapshot_date) >= 3
)
SELECT
  country_code,
  city,
  price_currency,
  COUNT(*)                                              AS venue_count,
  -- Pricing benchmarks
  ROUND(MEDIAN(median_hourly_rate), 2)                  AS median_hourly_rate,
  ROUND(MEDIAN(median_peak_rate), 2)                    AS median_peak_rate,
  ROUND(MEDIAN(median_offpeak_rate), 2)                 AS median_offpeak_rate,
  ROUND(PERCENTILE_CONT(0.25) WITHIN GROUP (ORDER BY median_hourly_rate), 2) AS hourly_rate_p25,
  ROUND(PERCENTILE_CONT(0.75) WITHIN GROUP (ORDER BY median_hourly_rate), 2) AS hourly_rate_p75,
  -- Occupancy benchmarks
  ROUND(MEDIAN(avg_occupancy_rate), 4)                  AS median_occupancy_rate,
  ROUND(AVG(avg_occupancy_rate), 4)                     AS avg_occupancy_rate,
  -- Revenue benchmarks (per venue per day)
  ROUND(MEDIAN(avg_daily_revenue), 2)                   AS median_daily_revenue_per_venue,
  -- Court mix
  ROUND(MEDIAN(court_count), 0)::INTEGER                AS median_court_count,
  -- Data quality
  SUM(days_observed)                                    AS total_venue_days_observed,
  CURRENT_DATE                                          AS refreshed_date
FROM venue_stats
GROUP BY country_code, city, price_currency