236f0d1061
- Expand dim_countries.sql CASE to cover 22 missing countries (PL, RO, CO, HU, ZA, KE, BR, CZ, QA, NZ, HR, LV, MT, CR, CY, PA, SV, DO, PE, VE, EE, ID) that fell through to bare ISO codes - Add 19 missing entries to COUNTRY_LABELS (i18n.py) + both locale files (EN + DE dir_country_* keys) including IE which was in SQL but not i18n - Localise map tooltips: routes.py injects country_name via get_country_name(), JS uses c.country_name instead of c.country_name_en - Localise dropdown: apply country_name filter to option labels - Show avg + top score in map tooltip with separate color dots and new map_score_avg / map_score_top i18n keys (EN: "Avg. Score" / "Top City", DE: "Ø Score" / "Top-Stadt") Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
364 lines
17 KiB
SQL
364 lines
17 KiB
SQL
-- Conformed country dimension — single authoritative source for all country metadata.
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--
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-- Consolidates data previously duplicated across dim_cities and dim_locations:
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-- - country_name_en / country_slug (was: ~50-line CASE blocks in both models)
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-- - median_income_pps (Eurostat PPS preferred, World Bank GNI PPP fallback)
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-- - energy prices, labour costs, PLI indices (Eurostat, WB price level ratio fallback)
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-- - cost override columns for the financial calculator
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--
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-- World Bank fallback: for non-EU countries (AR, MX, AE, AU, etc.), income and PLI
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-- are derived from WB WDI indicators calibrated to the Eurostat scale using Germany
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-- as anchor. See de_calibration CTE. EU countries keep exact Eurostat values.
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--
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-- Used by: dim_cities, dim_locations, pseo_city_costs_de, planner_defaults.
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-- Grain: country_code (one row per ISO 3166-1 alpha-2 country code).
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-- Kind: FULL — small table (~40 rows), full refresh daily.
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--
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-- Cost override columns:
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-- NULL = fall through to calculator.py DEFAULTS (safe: auto-mapping filters None).
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-- For DE (the baseline country) all overrides are NULL to preserve exact DEFAULTS.
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-- For countries missing Eurostat data, NULLs propagate naturally.
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-- camelCase column aliases match DEFAULTS keys for auto-mapping in content/__init__.py.
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--
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-- !! DE baseline values sourced from calculator.py DEFAULTS (web/src/padelnomics/planner/calculator.py).
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-- !! If DEFAULTS change, the hardcoded baseline values below must be updated to match.
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-- !! Search "DE baseline" in this file to find all affected lines.
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MODEL (
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name foundation.dim_countries,
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kind FULL,
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cron '@daily',
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grain country_code
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);
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WITH
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-- Latest income per country
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latest_income AS (
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SELECT country_code, median_income_pps, ref_year AS income_year
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FROM staging.stg_income
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QUALIFY ROW_NUMBER() OVER (PARTITION BY country_code ORDER BY ref_year DESC) = 1
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),
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-- Latest electricity price per country (use most recent semi-annual period)
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latest_electricity AS (
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SELECT country_code, electricity_eur_kwh, ref_period
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FROM staging.stg_electricity_prices
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QUALIFY ROW_NUMBER() OVER (PARTITION BY country_code ORDER BY ref_period DESC) = 1
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),
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-- Latest gas price per country
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latest_gas AS (
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SELECT country_code, gas_eur_gj, ref_period
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FROM staging.stg_gas_prices
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QUALIFY ROW_NUMBER() OVER (PARTITION BY country_code ORDER BY ref_period DESC) = 1
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),
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-- Latest labour cost per country
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latest_labour AS (
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SELECT country_code, labour_cost_eur_hour, ref_year
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FROM staging.stg_labour_costs
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QUALIFY ROW_NUMBER() OVER (PARTITION BY country_code ORDER BY ref_year DESC) = 1
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),
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-- Latest PLI per (country, category)
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latest_pli AS (
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SELECT country_code, category, pli, ref_year
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FROM staging.stg_price_levels
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QUALIFY ROW_NUMBER() OVER (PARTITION BY country_code, category ORDER BY ref_year DESC) = 1
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),
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-- Pivot PLI categories into columns per country
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pli_pivoted AS (
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SELECT
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country_code,
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MAX(pli) FILTER (WHERE category = 'construction') AS construction,
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MAX(pli) FILTER (WHERE category = 'housing') AS housing,
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MAX(pli) FILTER (WHERE category = 'services') AS services,
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MAX(pli) FILTER (WHERE category = 'misc') AS misc,
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MAX(pli) FILTER (WHERE category = 'government') AS government
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FROM latest_pli
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GROUP BY country_code
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),
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-- DE baseline rows for ratio computation
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-- NULL-safe: if DE is missing from a source, ratios produce NULL (safe fallthrough).
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de_pli AS (
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SELECT construction, housing, services, misc, government
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FROM pli_pivoted WHERE country_code = 'DE'
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),
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de_elec AS (
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SELECT electricity_eur_kwh FROM latest_electricity WHERE country_code = 'DE'
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),
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de_gas AS (
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SELECT gas_eur_gj FROM latest_gas WHERE country_code = 'DE'
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),
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-- Latest World Bank WDI per country (GNI PPP + price level ratio)
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latest_wb AS (
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SELECT country_code, gni_ppp, price_level_ratio, ref_year AS wb_year
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FROM staging.stg_worldbank_income
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WHERE gni_ppp IS NOT NULL OR price_level_ratio IS NOT NULL
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QUALIFY ROW_NUMBER() OVER (PARTITION BY country_code ORDER BY ref_year DESC) = 1
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),
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-- Germany calibration anchor: Eurostat PPS + WB GNI PPP + WB price ratio + Eurostat PLI construction.
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-- Used to scale World Bank values into Eurostat-comparable ranges.
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-- Single row; if DE is missing from any source, that ratio produces NULL (safe fallthrough).
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de_calibration AS (
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SELECT
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i.median_income_pps AS de_eurostat_pps,
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wb.gni_ppp AS de_gni_ppp,
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wb.price_level_ratio AS de_price_level_ratio,
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p.construction AS de_pli_construction
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FROM (SELECT median_income_pps FROM latest_income WHERE country_code = 'DE') i
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CROSS JOIN (SELECT gni_ppp, price_level_ratio FROM latest_wb WHERE country_code = 'DE') wb
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CROSS JOIN (SELECT construction FROM pli_pivoted WHERE country_code = 'DE') p
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),
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-- All distinct country codes from any source
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all_countries AS (
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SELECT country_code FROM latest_income
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UNION
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SELECT country_code FROM latest_electricity
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UNION
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SELECT country_code FROM latest_gas
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UNION
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SELECT country_code FROM latest_labour
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UNION
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SELECT country_code FROM pli_pivoted
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UNION
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SELECT country_code FROM latest_wb
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-- Ensure known padel markets appear even if Eurostat doesn't cover them yet
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UNION ALL
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SELECT unnest(['DE','ES','GB','FR','IT','PT','AT','CH','NL','BE','SE','NO','DK','FI',
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'US','AR','MX','AE','AU','IE']) AS country_code
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)
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SELECT
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ac.country_code,
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-- Country name and slug (single definition, replacing duplicated CASE blocks)
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CASE ac.country_code
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WHEN 'DE' THEN 'Germany'
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WHEN 'ES' THEN 'Spain'
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WHEN 'GB' THEN 'United Kingdom'
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WHEN 'FR' THEN 'France'
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WHEN 'IT' THEN 'Italy'
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WHEN 'PT' THEN 'Portugal'
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WHEN 'AT' THEN 'Austria'
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WHEN 'CH' THEN 'Switzerland'
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WHEN 'NL' THEN 'Netherlands'
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WHEN 'BE' THEN 'Belgium'
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WHEN 'SE' THEN 'Sweden'
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WHEN 'NO' THEN 'Norway'
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WHEN 'DK' THEN 'Denmark'
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WHEN 'FI' THEN 'Finland'
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WHEN 'US' THEN 'United States'
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WHEN 'AR' THEN 'Argentina'
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WHEN 'MX' THEN 'Mexico'
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WHEN 'AE' THEN 'UAE'
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WHEN 'AU' THEN 'Australia'
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WHEN 'IE' THEN 'Ireland'
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WHEN 'PL' THEN 'Poland'
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WHEN 'RO' THEN 'Romania'
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WHEN 'CO' THEN 'Colombia'
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WHEN 'HU' THEN 'Hungary'
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WHEN 'ZA' THEN 'South Africa'
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WHEN 'KE' THEN 'Kenya'
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WHEN 'BR' THEN 'Brazil'
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WHEN 'CZ' THEN 'Czech Republic'
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WHEN 'QA' THEN 'Qatar'
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WHEN 'NZ' THEN 'New Zealand'
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WHEN 'HR' THEN 'Croatia'
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WHEN 'LV' THEN 'Latvia'
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WHEN 'MT' THEN 'Malta'
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WHEN 'CR' THEN 'Costa Rica'
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WHEN 'CY' THEN 'Cyprus'
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WHEN 'PA' THEN 'Panama'
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WHEN 'SV' THEN 'El Salvador'
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WHEN 'DO' THEN 'Dominican Republic'
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WHEN 'PE' THEN 'Peru'
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WHEN 'VE' THEN 'Venezuela'
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WHEN 'EE' THEN 'Estonia'
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WHEN 'ID' THEN 'Indonesia'
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ELSE ac.country_code
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END AS country_name_en,
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LOWER(REGEXP_REPLACE(
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CASE ac.country_code
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WHEN 'DE' THEN 'Germany'
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WHEN 'ES' THEN 'Spain'
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WHEN 'GB' THEN 'United Kingdom'
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WHEN 'FR' THEN 'France'
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WHEN 'IT' THEN 'Italy'
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WHEN 'PT' THEN 'Portugal'
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WHEN 'AT' THEN 'Austria'
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WHEN 'CH' THEN 'Switzerland'
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WHEN 'NL' THEN 'Netherlands'
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WHEN 'BE' THEN 'Belgium'
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WHEN 'SE' THEN 'Sweden'
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WHEN 'NO' THEN 'Norway'
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WHEN 'DK' THEN 'Denmark'
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WHEN 'FI' THEN 'Finland'
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WHEN 'US' THEN 'United States'
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WHEN 'AR' THEN 'Argentina'
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WHEN 'MX' THEN 'Mexico'
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WHEN 'AE' THEN 'UAE'
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WHEN 'AU' THEN 'Australia'
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WHEN 'IE' THEN 'Ireland'
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WHEN 'PL' THEN 'Poland'
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WHEN 'RO' THEN 'Romania'
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WHEN 'CO' THEN 'Colombia'
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WHEN 'HU' THEN 'Hungary'
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WHEN 'ZA' THEN 'South Africa'
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WHEN 'KE' THEN 'Kenya'
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WHEN 'BR' THEN 'Brazil'
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WHEN 'CZ' THEN 'Czech Republic'
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WHEN 'QA' THEN 'Qatar'
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WHEN 'NZ' THEN 'New Zealand'
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WHEN 'HR' THEN 'Croatia'
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WHEN 'LV' THEN 'Latvia'
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WHEN 'MT' THEN 'Malta'
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WHEN 'CR' THEN 'Costa Rica'
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WHEN 'CY' THEN 'Cyprus'
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WHEN 'PA' THEN 'Panama'
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WHEN 'SV' THEN 'El Salvador'
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WHEN 'DO' THEN 'Dominican Republic'
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WHEN 'PE' THEN 'Peru'
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WHEN 'VE' THEN 'Venezuela'
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WHEN 'EE' THEN 'Estonia'
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WHEN 'ID' THEN 'Indonesia'
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ELSE ac.country_code
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END, '[^a-zA-Z0-9]+', '-'
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)) AS country_slug,
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-- Income: Eurostat PPS preferred, World Bank GNI PPP scaled to PPS as fallback
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COALESCE(
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i.median_income_pps,
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ROUND(wb.gni_ppp * (de_cal.de_eurostat_pps / NULLIF(de_cal.de_gni_ppp, 0)), 0)
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) AS median_income_pps,
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COALESCE(i.income_year, wb.wb_year) AS income_year,
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-- Raw energy and labour data (for reference / future staffed-scenario use)
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e.electricity_eur_kwh,
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g.gas_eur_gj,
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la.labour_cost_eur_hour,
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-- PLI construction: Eurostat preferred, World Bank price level ratio scaled to PLI as fallback
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COALESCE(
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p.construction,
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ROUND(wb.price_level_ratio / NULLIF(de_cal.de_price_level_ratio, 0) * de_cal.de_pli_construction, 1)
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) AS pli_construction,
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p.housing AS pli_housing,
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p.services AS pli_services,
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p.misc AS pli_misc,
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p.government AS pli_government,
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-- ── Calculator cost override columns ────────────────────────────────────
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-- NULL for DE = fall through to calculator.py DEFAULTS (safe: auto-mapping skips None).
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-- Formulas: country_value = DE_default × (country_price / DE_price)
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-- or DE_default × (country_PLI / DE_PLI)
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--
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-- OPEX overrides — energy (direct price ratio)
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-- DE baseline: electricity=600, heating=400 (see calculator.py DEFAULTS)
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(600.0 * (e.electricity_eur_kwh / de_e.electricity_eur_kwh), 0)
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END AS electricity,
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(400.0 * (g.gas_eur_gj / de_g.gas_eur_gj), 0)
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END AS heating,
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-- OPEX overrides — PLI-scaled (housing category)
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-- DE baseline: rentSqm=4, water=125, outdoorRent=400
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(4.0 * (p.housing / de_p.housing), 2)
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END AS rent_sqm,
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(125.0 * (p.housing / de_p.housing), 0)
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END AS water,
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(400.0 * (p.housing / de_p.housing), 0)
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END AS outdoor_rent,
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-- OPEX overrides — PLI-scaled (misc category)
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-- DE baseline: insurance=300
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(300.0 * (p.misc / de_p.misc), 0)
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END AS insurance,
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-- OPEX overrides — PLI-scaled (services category)
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-- DE baseline: cleaning=300, maintenance=300, marketing=350
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(300.0 * (p.services / de_p.services), 0)
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END AS cleaning,
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(300.0 * (p.services / de_p.services), 0)
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END AS maintenance,
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(350.0 * (p.services / de_p.services), 0)
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END AS marketing,
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-- OPEX overrides — PLI-scaled (government category)
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-- DE baseline: propertyTax=250, permitsCompliance=12000
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(250.0 * (p.government / de_p.government), 0)
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END AS property_tax,
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(12000.0 * (p.government / de_p.government), 0)
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END AS permits_compliance,
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-- CAPEX overrides — PLI-scaled (construction category)
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-- DE baseline: hallCostSqm=500, foundationSqm=150, hvac=100000, electrical=60000,
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-- sanitary=80000, parking=50000, fitout=40000, planning=100000,
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-- fireProtection=80000, floorPrep=12000, hvacUpgrade=20000,
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-- lightingUpgrade=10000, outdoorFoundation=35, outdoorSiteWork=8000,
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-- outdoorLighting=4000, outdoorFencing=6000, workingCapital=15000
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(500.0 * (p.construction / de_p.construction), 0)
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END AS hall_cost_sqm,
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(150.0 * (p.construction / de_p.construction), 0)
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END AS foundation_sqm,
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(100000.0 * (p.construction / de_p.construction), 0)
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END AS hvac,
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(60000.0 * (p.construction / de_p.construction), 0)
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END AS electrical,
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(80000.0 * (p.construction / de_p.construction), 0)
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END AS sanitary,
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(50000.0 * (p.construction / de_p.construction), 0)
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END AS parking,
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(40000.0 * (p.construction / de_p.construction), 0)
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END AS fitout,
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(100000.0 * (p.construction / de_p.construction), 0)
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END AS planning,
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(80000.0 * (p.construction / de_p.construction), 0)
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END AS fire_protection,
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(12000.0 * (p.construction / de_p.construction), 0)
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END AS floor_prep,
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(20000.0 * (p.construction / de_p.construction), 0)
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END AS hvac_upgrade,
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(10000.0 * (p.construction / de_p.construction), 0)
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END AS lighting_upgrade,
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(35.0 * (p.construction / de_p.construction), 0)
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END AS outdoor_foundation,
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(8000.0 * (p.construction / de_p.construction), 0)
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END AS outdoor_site_work,
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(4000.0 * (p.construction / de_p.construction), 0)
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END AS outdoor_lighting,
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(6000.0 * (p.construction / de_p.construction), 0)
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END AS outdoor_fencing,
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(15000.0 * (p.construction / de_p.construction), 0)
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END AS working_capital,
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-- CAPEX overrides — PLI-scaled (housing category)
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-- DE baseline: landPriceSqm=60
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CASE WHEN ac.country_code = 'DE' THEN NULL
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ELSE ROUND(60.0 * (p.housing / de_p.housing), 0)
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END AS land_price_sqm
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FROM (SELECT DISTINCT country_code FROM all_countries WHERE LENGTH(country_code) = 2) ac
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LEFT JOIN latest_income i ON ac.country_code = i.country_code
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LEFT JOIN latest_electricity e ON ac.country_code = e.country_code
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LEFT JOIN latest_gas g ON ac.country_code = g.country_code
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LEFT JOIN latest_labour la ON ac.country_code = la.country_code
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LEFT JOIN pli_pivoted p ON ac.country_code = p.country_code
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LEFT JOIN latest_wb wb ON ac.country_code = wb.country_code
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CROSS JOIN de_pli de_p
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CROSS JOIN de_elec de_e
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CROSS JOIN de_gas de_g
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CROSS JOIN de_calibration de_cal
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-- Enforce grain
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QUALIFY ROW_NUMBER() OVER (PARTITION BY ac.country_code ORDER BY ac.country_code) = 1
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