-- Daily venue-level availability, pricing, occupancy, and revenue estimates.
-- Aggregates fct_availability_slot (event-grain fact) into per-venue per-day
-- statistics, then calculates occupancy against capacity from dim_venue_capacity.
--
-- Recheck-aware deduplication lives in fct_availability_slot — this model only
-- reads the already-deduplicated best-snapshot slots.
--
-- Occupancy = 1 - (available_court_hours / capacity_court_hours_per_day)
-- Revenue estimate = booked_court_hours × avg_price_of_available_slots
--
-- Peak hours defined as 17:00–21:00 (captures main evening rush across markets).

MODEL (
  name foundation.fct_daily_availability,
  kind INCREMENTAL_BY_TIME_RANGE (
    time_column snapshot_date
  ),
  start '2026-03-01',
  cron '@daily',
  grain (snapshot_date, tenant_id)
);

WITH slot_agg AS (
  SELECT
    a.snapshot_date,
    a.tenant_id,
    COUNT(*)                                              AS available_slot_count,
    COUNT(DISTINCT a.resource_id)                         AS courts_with_availability,
    -- Each available start_time represents a 60-min bookable window
    ROUND(COUNT(*) * 1.0, 2)                              AS available_court_hours,
    -- Pricing stats (60-min slots only)
    ROUND(MEDIAN(a.price_amount), 2)                      AS median_price,
    ROUND(AVG(a.price_amount), 2)                         AS avg_price,
    MIN(a.price_amount)                                   AS min_price,
    MAX(a.price_amount)                                   AS max_price,
    -- Peak: 17:00–21:00 (is_peak flag computed once in fct_availability_slot)
    ROUND(MEDIAN(a.price_amount) FILTER (WHERE a.is_peak), 2)       AS median_price_peak,
    -- Off-peak: everything outside 17:00–21:00
    ROUND(MEDIAN(a.price_amount) FILTER (WHERE NOT a.is_peak), 2)   AS median_price_offpeak,
    MAX(a.price_currency)                                 AS price_currency,
    MAX(a.captured_at_utc)                                AS captured_at_utc
  FROM foundation.fct_availability_slot a
  WHERE a.snapshot_date BETWEEN @start_ds AND @end_ds
  GROUP BY a.snapshot_date, a.tenant_id
)
SELECT
  sa.snapshot_date,
  sa.tenant_id,
  cap.country_code,
  cap.city,
  cap.city_slug,
  cap.active_court_count,
  cap.capacity_court_hours_per_day,
  sa.available_slot_count,
  sa.courts_with_availability,
  sa.available_court_hours,
  -- Occupancy: (capacity - available) / capacity
  CASE
    WHEN cap.capacity_court_hours_per_day > 0
    THEN ROUND(
      1.0 - (sa.available_court_hours / cap.capacity_court_hours_per_day),
      4
    )
    ELSE NULL
  END                                                     AS occupancy_rate,
  -- Estimated booked court-hours
  ROUND(
    GREATEST(cap.capacity_court_hours_per_day - sa.available_court_hours, 0),
    2
  )                                                       AS booked_court_hours,
  -- Estimated daily revenue: booked hours × avg price
  ROUND(
    GREATEST(cap.capacity_court_hours_per_day - sa.available_court_hours, 0)
    * sa.avg_price,
    2
  )                                                       AS estimated_revenue_eur,
  -- Pricing
  sa.median_price,
  sa.avg_price,
  sa.min_price,
  sa.max_price,
  sa.median_price_peak,
  sa.median_price_offpeak,
  sa.price_currency,
  sa.captured_at_utc
FROM slot_agg sa
JOIN foundation.dim_venue_capacity cap ON sa.tenant_id = cap.tenant_id
