fix: supply gap inflation + inline map data + guard API endpoints

A. location_profiles.sql: supply gap now uses GREATEST(catchment_padel_courts,
   COALESCE(city_padel_venue_count, 0)) so Playtomic venues prevent cities like
   Murcia/Cordoba/Gijon from receiving a full 30-pt supply gap bonus when their
   OSM catchment count is zero. Expected ~10-15 pt drop for affected ES cities.

B. pseo_country_overview.sql: add population-weighted lat/lon centroid columns
   so the markets map can use accurate country positions from this table.

C/D. content/routes.py + markets.html: query pseo_country_overview in the route
   and pass as map_countries to the template, replacing the fetch('/api/...') call
   with inline JSON. Map scores now match pseo_country_overview (pop-weighted),
   and the page loads without an extra round-trip.

E. api.py: add @login_required to all 4 endpoints. Unauthenticated callers get
   a 302 redirect to login instead of data.

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

transform/sqlmesh_padelnomics/models/serving/location_profiles.sql

@@ -208,7 +208,7 @@ scored AS (
       -- Supply gap (30 pts): inverted catchment venue density
       + 30.0 * GREATEST(0.0, 1.0 - COALESCE(
           CASE WHEN catchment_population > 0
-            THEN catchment_padel_courts::DOUBLE / catchment_population * 100000
+            THEN GREATEST(catchment_padel_courts, COALESCE(city_padel_venue_count, 0))::DOUBLE / catchment_population * 100000
             ELSE 0.0
           END, 0.0) / 8.0)
       -- Catchment gap (15 pts): distance to nearest court

transform/sqlmesh_padelnomics/models/serving/pseo_country_overview.sql

@@ -37,6 +37,8 @@ SELECT
   -- Use the most common currency in the country (MIN is deterministic for single-currency countries)
   MIN(price_currency)                                            AS price_currency,
   SUM(population)                                                AS total_population,
+  ROUND(SUM(lat * population) / NULLIF(SUM(population), 0), 4)  AS lat,
+  ROUND(SUM(lon * population) / NULLIF(SUM(population), 0), 4)  AS lon,
   CURRENT_DATE                                                   AS refreshed_date
 FROM serving.pseo_city_costs_de
 GROUP BY country_code, country_name_en, country_slug

web/src/padelnomics/api.py

@@ -8,6 +8,7 @@ daily when the pipeline runs).
 from quart import Blueprint, abort, jsonify
 
 from .analytics import fetch_analytics
+from .auth.routes import login_required
 from .core import fetch_all, is_flag_enabled
 
 bp = Blueprint("api", __name__)
@@ -26,6 +27,7 @@ async def _require_maps_flag() -> None:
 
 
 @bp.route("/markets/countries.json")
+@login_required
 async def countries():
     """Country-level aggregates for the markets hub map."""
     await _require_maps_flag()
@@ -46,6 +48,7 @@ async def countries():
 
 
 @bp.route("/markets/<country_slug>/cities.json")
+@login_required
 async def country_cities(country_slug: str):
     """City-level data for a country overview bubble map."""
     await _require_maps_flag()
@@ -80,6 +83,7 @@ async def country_cities(country_slug: str):
 
 
 @bp.route("/markets/<country_slug>/<city_slug>/venues.json")
+@login_required
 async def city_venues(country_slug: str, city_slug: str):
     """Venue-level dots for the city detail map."""
     await _require_maps_flag()
@@ -98,6 +102,7 @@ async def city_venues(country_slug: str, city_slug: str):
 
 
 @bp.route("/opportunity/<country_slug>.json")
+@login_required
 async def opportunity(country_slug: str):
     """Location-level opportunity scores for the opportunity map."""
     await _require_maps_flag()

web/src/padelnomics/content/routes.py

@@ -9,6 +9,7 @@ from jinja2 import Environment, FileSystemLoader
 from markupsafe import Markup
 from quart import Blueprint, abort, g, redirect, render_template, request
 
+from ..analytics import fetch_analytics
 from ..core import (
     REPO_ROOT,
     capture_waitlist_email,
@@ -203,6 +204,14 @@ async def markets():
     )
 
     articles = await _filter_articles(q, country, region)
+    map_countries = await fetch_analytics("""
+        SELECT country_code, country_name_en, country_slug,
+               city_count, total_venues,
+               avg_market_score, avg_opportunity_score,
+               lat, lon
+        FROM serving.pseo_country_overview
+        ORDER BY total_venues DESC
+    """)
 
     return await render_template(
         "markets.html",
@@ -212,6 +221,7 @@ async def markets():
         current_q=q,
         current_country=country,
         current_region=region,
+        map_countries=map_countries,
     )
 
 

web/src/padelnomics/content/templates/markets.html

@@ -92,27 +92,25 @@
     });
   }
 
-  fetch('/api/markets/countries.json')
+  var data = {{ map_countries | tojson }};
-    .then(function(r) { return r.json(); })
+  if (data.length) {
-    .then(function(data) {
+    var maxV = Math.max.apply(null, data.map(function(d) { return d.total_venues; }));
-      if (!data.length) return;
+    var lang = document.documentElement.lang || 'en';
-      var maxV = Math.max.apply(null, data.map(function(d) { return d.total_venues; }));
+    data.forEach(function(c) {
-      var lang = document.documentElement.lang || 'en';
+      if (!c.lat || !c.lon) return;
-      data.forEach(function(c) {
+      var size = 12 + 44 * Math.sqrt(c.total_venues / maxV);
-        if (!c.lat || !c.lon) return;
+      var color = scoreColor(c.avg_market_score);
-        var size = 12 + 44 * Math.sqrt(c.total_venues / maxV);
+      var oppColor = c.avg_opportunity_score >= 60 ? '#16A34A' : (c.avg_opportunity_score >= 30 ? '#D97706' : '#3B82F6');
-        var color = scoreColor(c.avg_market_score);
+      var tip = '<strong>' + c.country_name_en + '</strong><br>'
-        var oppColor = c.avg_opportunity_score >= 60 ? '#16A34A' : (c.avg_opportunity_score >= 30 ? '#D97706' : '#3B82F6');
+        + c.total_venues + ' venues · ' + c.city_count + ' cities<br>'
-        var tip = '<strong>' + c.country_name_en + '</strong><br>'
+        + '<span style="color:' + color + ';font-weight:600;">Padelnomics Market Score: ' + c.avg_market_score + '/100</span><br>'
-          + c.total_venues + ' venues · ' + c.city_count + ' cities<br>'
+        + '<span style="color:' + oppColor + ';font-weight:600;">Padelnomics Opportunity Score: ' + (c.avg_opportunity_score || 0) + '/100</span>';
-          + '<span style="color:' + color + ';font-weight:600;">Padelnomics Market Score: ' + c.avg_market_score + '/100</span><br>'
+      L.marker([c.lat, c.lon], { icon: makeIcon(size, color) })
-          + '<span style="color:' + oppColor + ';font-weight:600;">Padelnomics Opportunity Score: ' + (c.avg_opportunity_score || 0) + '/100</span>';
+        .bindTooltip(tip, { className: 'map-tooltip', direction: 'top', offset: [0, -Math.round(size / 2)] })
-        L.marker([c.lat, c.lon], { icon: makeIcon(size, color) })
+        .on('click', function() { window.location = '/' + lang + '/markets/' + c.country_slug; })
-          .bindTooltip(tip, { className: 'map-tooltip', direction: 'top', offset: [0, -Math.round(size / 2)] })
+        .addTo(map);
-          .on('click', function() { window.location = '/' + lang + '/markets/' + c.country_slug; })
-          .addTo(map);
-      });
     });
+  }
 })();
 </script>
 {% endblock %}