-- Mart: Neighbourhood Overview with Composite Livability Score
-- Dashboard Tab: Overview
-- Grain: One row per neighbourhood per year

with demographics as (
    select * from {{ ref('int_neighbourhood__demographics') }}
),

housing as (
    select * from {{ ref('int_neighbourhood__housing') }}
),

crime as (
    select * from {{ ref('int_neighbourhood__crime_summary') }}
),

amenities as (
    select * from {{ ref('int_neighbourhood__amenity_scores') }}
),

-- Compute percentile ranks for scoring components
percentiles as (
    select
        d.neighbourhood_id,
        d.neighbourhood_name,
        d.geometry,
        d.census_year as year,
        d.population,
        d.median_household_income,

        -- Safety score: inverse of crime rate (higher = safer)
        case
            when c.crime_rate_per_100k is not null
            then 100 - percent_rank() over (
                partition by d.census_year
                order by c.crime_rate_per_100k
            ) * 100
            else null
        end as safety_score,

        -- Affordability score: inverse of rent-to-income ratio
        case
            when h.rent_to_income_pct is not null
            then 100 - percent_rank() over (
                partition by d.census_year
                order by h.rent_to_income_pct
            ) * 100
            else null
        end as affordability_score,

        -- Amenity score: based on amenities per capita
        case
            when a.total_amenities_per_1000 is not null
            then percent_rank() over (
                partition by d.census_year
                order by a.total_amenities_per_1000
            ) * 100
            else null
        end as amenity_score,

        -- Raw metrics for reference
        c.crime_rate_per_100k,
        h.rent_to_income_pct,
        h.avg_rent_2bed,
        a.total_amenities_per_1000

    from demographics d
    left join housing h
        on d.neighbourhood_id = h.neighbourhood_id
        and d.census_year = h.year
    left join crime c
        on d.neighbourhood_id = c.neighbourhood_id
        and d.census_year = c.year
    left join amenities a
        on d.neighbourhood_id = a.neighbourhood_id
        and d.census_year = a.year
),

final as (
    select
        neighbourhood_id,
        neighbourhood_name,
        geometry,
        year,
        population,
        median_household_income,

        -- Component scores (0-100)
        round(safety_score::numeric, 1) as safety_score,
        round(affordability_score::numeric, 1) as affordability_score,
        round(amenity_score::numeric, 1) as amenity_score,

        -- Composite livability score: safety (30%), affordability (40%), amenities (30%)
        round(
            (coalesce(safety_score, 50) * 0.30 +
             coalesce(affordability_score, 50) * 0.40 +
             coalesce(amenity_score, 50) * 0.30)::numeric,
            1
        ) as livability_score,

        -- Raw metrics
        crime_rate_per_100k,
        rent_to_income_pct,
        avg_rent_2bed,
        total_amenities_per_1000

    from percentiles
)

select * from final