refactor: flatten padelnomics/padelnomics/ → repo root

git mv all tracked files from the nested padelnomics/ workspace
directory to the git repo root. Merged .gitignore files.
No code changes — pure path rename.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

transform/sqlmesh_padelnomics/models/foundation/dim_venues.sql

@@ -0,0 +1,75 @@
+-- Deduplicated venue dimension combining OSM courts and Playtomic tenants.
+-- Venues from both sources are unioned; near-duplicates (within ~100m) are
+-- collapsed to a single record preferring Playtomic data (richer metadata).
+-- Proximity dedup uses haversine approximation: 1 degree lat ≈ 111 km.
+
+MODEL (
+  name padelnomics.dim_venues,
+  kind FULL,
+  cron '@daily',
+  grain venue_id
+);
+
+WITH all_venues AS (
+  SELECT
+    'osm:' || osm_id::TEXT AS venue_id,
+    source,
+    lat,
+    lon,
+    country_code,
+    name,
+    city,
+    postcode,
+    NULL AS tenant_type,
+    extracted_date
+  FROM padelnomics.stg_padel_courts
+  WHERE country_code IS NOT NULL
+
+  UNION ALL
+
+  SELECT
+    'pt:' || tenant_id      AS venue_id,
+    source,
+    lat,
+    lon,
+    country_code,
+    name,
+    city,
+    postcode,
+    tenant_type,
+    extracted_date
+  FROM padelnomics.stg_playtomic_venues
+  WHERE country_code IS NOT NULL
+),
+-- Rank venues so Playtomic records win ties in proximity dedup
+ranked AS (
+  SELECT *,
+    CASE source WHEN 'playtomic' THEN 1 ELSE 2 END AS source_rank
+  FROM all_venues
+)
+-- Note: full proximity dedup (haversine clustering) is expensive in SQL.
+-- For now, deduplicate on exact (country_code, ROUND(lat,3), ROUND(lon,3))
+-- — ≈111m grid cells. Refine with spatial index if volumes grow.
+SELECT
+  MIN(venue_id) OVER (
+    PARTITION BY country_code, ROUND(lat, 3)::TEXT, ROUND(lon, 3)::TEXT
+    ORDER BY source_rank
+  )                                                         AS venue_id,
+  country_code,
+  lat,
+  lon,
+  COALESCE(
+    MAX(CASE WHEN source = 'playtomic' THEN name END)
+      OVER (PARTITION BY country_code, ROUND(lat,3)::TEXT, ROUND(lon,3)::TEXT),
+    name
+  )                                                         AS name,
+  COALESCE(city, '')                                        AS city,
+  postcode,
+  source,
+  tenant_type,
+  extracted_date
+FROM ranked
+QUALIFY ROW_NUMBER() OVER (
+  PARTITION BY country_code, ROUND(lat, 3)::TEXT, ROUND(lon, 3)::TEXT
+  ORDER BY source_rank
+) = 1