79f7fc6fad
Three workstreams:
1. Playtomic full data extraction & transform pipeline:
- Expand venue bounding boxes from 4 to 23 regions (global coverage)
- New staging models for court resources, opening hours, and slot-level
availability with real prices from the Playtomic API
- Foundation fact tables for venue capacity and daily occupancy/revenue
- City-level pricing benchmarks replacing hardcoded country estimates
- Planner defaults now use 3-tier cascade: city data → country → fallback
2. Transactional email i18n:
- _t() helper in worker.py with ~70 translation keys (EN + DE)
- All 8 email handlers translated, lang passed in task payloads
3. Resend audiences restructured to 3 named audiences (free plan limit)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
70 lines
2.2 KiB
SQL
70 lines
2.2 KiB
SQL
-- City dimension: canonical city records with population and venue count.
|
|
-- Built from Eurostat Urban Audit codes joined to venue locations.
|
|
-- Cities without Eurostat coverage (US, non-EU) are derived from venue clusters.
|
|
|
|
MODEL (
|
|
name foundation.dim_cities,
|
|
kind FULL,
|
|
cron '@daily',
|
|
grain city_code
|
|
);
|
|
|
|
WITH -- Eurostat cities: latest population per city code
|
|
eurostat_cities AS (
|
|
SELECT
|
|
city_code,
|
|
country_code,
|
|
population,
|
|
ref_year
|
|
FROM staging.stg_population
|
|
QUALIFY ROW_NUMBER() OVER (PARTITION BY city_code ORDER BY ref_year DESC) = 1
|
|
),
|
|
-- Venue counts per (country_code, city) from dim_venues
|
|
venue_counts AS (
|
|
SELECT
|
|
country_code,
|
|
city,
|
|
COUNT(*) AS venue_count,
|
|
AVG(lat) AS centroid_lat,
|
|
AVG(lon) AS centroid_lon
|
|
FROM foundation.dim_venues
|
|
WHERE city IS NOT NULL AND city != ''
|
|
GROUP BY country_code, city
|
|
),
|
|
-- Eurostat city label mapping to canonical city names
|
|
-- (Eurostat uses codes like DE001C → Berlin; we keep both)
|
|
eurostat_labels AS (
|
|
SELECT DISTINCT
|
|
city_code,
|
|
country_code,
|
|
-- Derive a slug-friendly city name from the code as fallback
|
|
LOWER(REPLACE(city_code, country_code, '')) AS city_slug_raw
|
|
FROM eurostat_cities
|
|
),
|
|
-- Country-level median income (latest year per country)
|
|
country_income AS (
|
|
SELECT country_code, median_income_pps, ref_year AS income_year
|
|
FROM staging.stg_income
|
|
QUALIFY ROW_NUMBER() OVER (PARTITION BY country_code ORDER BY ref_year DESC) = 1
|
|
)
|
|
SELECT
|
|
ec.city_code,
|
|
ec.country_code,
|
|
COALESCE(vc.city, ec.city_code) AS city_name,
|
|
LOWER(REGEXP_REPLACE(
|
|
COALESCE(vc.city, ec.city_slug_raw), '[^a-z0-9]+', '-'
|
|
)) AS city_slug,
|
|
COALESCE(vc.centroid_lat, 0::DOUBLE) AS lat,
|
|
COALESCE(vc.centroid_lon, 0::DOUBLE) AS lon,
|
|
ec.population,
|
|
ec.ref_year AS population_year,
|
|
COALESCE(vc.venue_count, 0) AS padel_venue_count,
|
|
ci.median_income_pps,
|
|
ci.income_year
|
|
FROM eurostat_cities ec
|
|
LEFT JOIN venue_counts vc
|
|
ON ec.country_code = vc.country_code
|
|
AND LOWER(TRIM(vc.city)) LIKE '%' || LOWER(LEFT(ec.city_code, 2)) || '%'
|
|
LEFT JOIN country_income ci
|
|
ON ec.country_code = ci.country_code
|