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padelnomics/transform/sqlmesh_padelnomics/models/serving
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Deeman 59f1f0d699 merge(worktree): interactive maps for market pages 
Self-hosted Leaflet 1.9.4 maps across 4 placements: markets hub
country bubbles, country overview city bubbles, city venue dots, and
a standalone opportunity map. New /api blueprint with 4 JSON endpoints.
New city_venue_locations SQLMesh serving model. No CDN — GDPR-safe.

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

# Conflicts:
#	CHANGELOG.md
2026-03-04 15:36:41 +01:00
..
city_market_profile.sql
refactor(transform): conform geographic dimension hierarchy via city_slug
2026-02-27 13:23:03 +01:00
city_venue_locations.sql
feat(maps): Phase 4 — city venue dot map
2026-03-04 15:07:06 +01:00
location_opportunity_profile.sql
fix(sql): opportunity_score income ceiling /200→/35000 (economic power)
2026-02-27 07:58:57 +01:00
planner_defaults.sql
feat(transform): individualise article costs with per-country Eurostat data
2026-03-04 10:09:48 +01:00
pseo_city_costs_de.sql
merge(worktree): interactive maps for market pages
2026-03-04 15:36:41 +01:00
pseo_city_pricing.sql
refactor(transform): conform geographic dimension hierarchy via city_slug
2026-02-27 13:23:03 +01:00
pseo_country_overview.sql
fix(content): slugify transliteration + article links + country overview ranking
2026-03-03 10:46:30 +01:00
README.md
feat: copier update v0.9.0 — extraction docs, state tracking, architecture guides
2026-02-22 15:44:48 +01:00
venue_pricing_benchmarks.sql
refactor(transform): conform geographic dimension hierarchy via city_slug
2026-02-27 13:23:03 +01:00

README.md

serving

Analytics-ready views consumed by the web app and programmatic SEO. Query these from analytics.py via DuckDB read-only connection.

Naming convention: serving.<purpose> (e.g. serving.city_market_profile)

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