Phase B: Remove dual-ring marker design (ring/core), replace with
single-color markers colored by opportunity_score ("Padelnomics Score").
Simplify CSS, update tooltips to show one score line on all maps.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace flat circle markers with nested dual-ring structure encoding
two scores per marker (core = primary, ring = secondary). Upgrade
from 3-tier to 5-tier colorblind-safe scale. Add pulse animation for
high-opportunity markers (>=75). Extract shared PNMarkers module from
3 duplicated implementations.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Pre-select user's country on opportunity map dropdown (CF-IPCountry),
auto-load the map on page load. Highlight user's city on country
overview maps with a blue ring (CF-IPCity best-effort match). Unify
opportunity score color scale to red/amber/green (was using blue for
low scores). Inject window.__GEO global for client-side geo access.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
All three Cloudflare geo headers now available:
- g.user_country (CF-IPCountry) — used by geo-sorted article listing
- g.user_region (CF-RegionCode) — available for within-country sorting
- g.user_city (CF-IPCity) — available for city-level proximity
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Read Cloudflare CF-IPCountry header into g.user_country (before_request)
- _filter_articles() sorts user's country first, nearby countries second,
then rest — falls back to published_at DESC when header is absent
- map_countries sorted so user's country bubble renders on top (Leaflet z-order)
- Nearby-country mapping covers DACH, Iberia, Nordics, Benelux, UK/IE, Americas
Prerequisite: Nginx must forward CF-IPCountry header to Quart (same as Umami).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add legend below map: bubble size = venue count, color = Market Score
- Unify opportunity score color to use same green/orange/red scale
(was using blue for low scores, inconsistent with market score)
- Add mkt_legend_size / mkt_legend_color i18n keys (EN + DE)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Non-EU countries (AR, MX, AE, AU, etc.) previously got NULL for
median_income_pps and pli_construction, falling back to EU-calibrated
defaults (15K PPS, PLI=100) that produced wrong scores.
New World Bank WDI extractor fetches GNI per capita PPP and price level
ratio for 215 countries. dim_countries uses Germany as calibration anchor
to scale WB values into the Eurostat range (dynamic ratio, self-corrects
as both sources update). EU countries keep exact Eurostat values.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- CHANGELOG.md: document Market Score v4 and Opportunity Score v5 changes
- pipeline_routes.py: add dim_countries to location_profiles dependency list
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Merge supply gap (30pts) + catchment gap (15pts) → supply deficit (35pts, GREATEST)
Eliminates ~80% correlated double-count on a single signal.
- Add sports culture signal (10pts): tennis court density as racquet-sport adoption proxy.
Ceiling 50 courts/25km. Harmless when tennis data is zero (contributes 0).
- Add construction affordability (5pts): income relative to PLI construction costs.
Joins dim_countries.pli_construction. High income + low build cost = high score.
- Reduce economic power from 20 → 15pts to make room.
New weights: addressable market 25, economic power 15, supply deficit 35,
sports culture 10, construction affordability 5, market validation 10.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Delete opportunity() JSON endpoint from api.py (dead after this refactor)
- Add GET /opportunity-map/data route returning HTML partial with two JSON
data islands (opp_points + ref_points from serving.location_profiles)
- Create partials/opportunity_map_data.html (2-line data island partial)
- Rewrite opportunity_map.html: HTMX attrs on <select>, invisible #map-data
swap target, htmx:afterSwap listener replaces fetch()-based loadCountry()
city_venues endpoint stays public (article-maps.js calls it on public pages).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
opportunity_map.html (public page) still fetches these. Only countries.json
and city_venues.json are no longer called from any public page, so those two
keep @login_required.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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>
-m padelnomics.export_serving resolves to web package, not src/padelnomics.
src/padelnomics is not a uv workspace member so it's not importable by name.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Two targeted fixes for inflated country scores (ES 83, SE 77):
1. pseo_country_overview: replace AVG() with population-weighted averages
for avg_opportunity_score and avg_market_score. Madrid/Barcelona now
dominate Spain's average instead of hundreds of 30K-town white-space
towns. Expected ES drop from ~83 to ~55-65.
2. location_profiles: replace dead sports culture component (10 pts,
tennis data all zeros) with market validation signal.
Split scored CTE into: market_scored → country_market → scored.
country_market aggregates AVG(market_score) per country from cities
with padel courts (market_score > 0), so zero-court locations don't
dilute the signal. ES (~60/100) → ~6 pts. SE (~35/100) → ~3.5 pts.
NULL → 0.5 neutral → 5 pts (untested market, not penalised).
Score budget unchanged: 25+20+30+15+10 = 100 pts.
No new models, no new data sources, no cycles.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Two targeted fixes for inflated country scores (ES 83, SE 77):
1. pseo_country_overview: replace AVG() with population-weighted averages
for avg_opportunity_score and avg_market_score. Madrid/Barcelona now
dominate Spain's average instead of hundreds of 30K-town white-space
towns. Expected ES drop from ~83 to ~55-65.
2. location_opportunity_profile: replace dead sports culture component
(10 pts, tennis data all zeros) with market validation signal.
New country_market CTE aggregates city_market_profile per country_code.
ES (~60/100) → ~6 pts (proven demand). SE (~35/100) → ~3.5 pts
(struggling market). NULL → 0.5 neutral → 5 pts (untested market).
Score budget unchanged: 25+20+30+15+10 = 100 pts.
New dependency: location_opportunity_profile → serving.city_market_profile (no cycle).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
content/articles/ holds the cornerstone .md source files which
_sync_static_articles() reads on every /admin/articles load.
Without this COPY they were absent from the container.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Defines REPO_ROOT = Path(__file__).parents[3] once in core.py.
Replaces Path(__file__).parent.parent...parent chains and Path("data/...")
CWD-relative references in admin/routes.py, content/__init__.py,
content/routes.py, and worker.py (4x local repo_root variables).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
data/ is gitignored (pipeline artifacts). Article .md files are source
content and must be version-controlled. Moved to content/articles/ at
repo root. Also updates _ARTICLES_DIR and all Path("data/content/articles")
references in admin/routes.py.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Three cases: single delete, bulk by IDs, bulk apply_to_all.
Also extends _create_article() helper with article_type param.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Migration 0029: article_type column (cornerstone/editorial/generated)
- Tab bar on /admin/articles with per-type counts
- Template filter only on Generated tab; delete guard uses article_type
- Type dropdown in article_new/edit form
- Fix: affiliate program and product Delete buttons had missing text/tag
- Bulk delete (both explicit-IDs and apply_to_all paths) now only unlinks
source .md files for generated articles (template_slug IS NOT NULL).
Manual cornerstone articles keep their .md source on disk.
- _sync_static_articles() now also renders markdown → HTML and writes to
BUILD_DIR/<lang>/<slug>.html after upserting the DB row, so cornerstones
are immediately servable after a sync without a separate rebuild step.
- scenario_pdf(): replace d = json.loads(scenario["calc_json"]) with
d = calc(state) so all current calc fields (moic, dscr, cashOnCash, …)
are present and the PDF route no longer 500s on stale stored JSON.
- Restored data/content/articles/ cornerstone .md files via git checkout.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Extract _build_article_where() helper, eliminating duplicated WHERE
logic from _get_article_list() and _get_article_list_grouped()
- Add template_slug='__manual__' sentinel → filters template_slug IS NULL
(cornerstone / hand-written articles without a pSEO template)
- Add GET /articles/matching-count endpoint returning count of articles
matching current filter params (for the Gmail-style select-all banner)
- Extend POST /articles/bulk with apply_to_all=true mode: builds WHERE
from filter params instead of explicit IDs; rebuild capped at 2,000,
delete at 5,000
- Add "Manual" option to Template filter dropdown
- Add Gmail-style "select all matching" banner: appears when select-all
checkbox is checked, fetches total count, lets user switch to
apply_to_all mode with confirmation dialog
- Sync filter hidden inputs into bulk form on filter change; changing
filters resets apply-to-all state and clears selection
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
`sqlmesh run` only re-evaluates intervals for already-planned models —
it does not detect new, modified, or deleted models. Switching to
`plan prod --auto-apply` ensures schema changes (like the new
location_profiles model) are picked up automatically.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Script now lives globally as a uv inline-dependency script.
Removes per-project scripts/ci.py and the msgspec dev dependency.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Copies ci.py from beanflows (same script, shared across projects).
Adds msgspec dev dependency required by the script.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Merges worktree-h3-catchment-index. dim_locations now computes h3_cell_res5
(res 5, ~8.5km edge). location_profiles and dim_locations updated;
old location_opportunity_profile.sql already removed on master.
Conflict: location_opportunity_profile.sql deleted on master, kept deletion
and applied h3_cell_res4→res5 rename to location_profiles instead.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Res 4 + k_ring(1) gave ~50-60km effective radius, causing Oldenburg to
absorb Bremen (40km away) and destroying score differentiation.
Res 5 + k_ring(1) gives ~24km — captures adjacent Gemeinden (Delmenhorst
at 15km) without bleeding into unrelated cities at 40km+.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Update transform CLAUDE.md source integration map and conformed
dimensions table. Update CHANGELOG with unified model + tooltip
changes. Fix stale comments in dim_cities.sql and serving README.
Subtask 5/5: documentation.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Update api.py (3 endpoints), public/routes.py, analytics.py docstring,
pipeline_routes.py DAG, pipeline_query.html placeholder, and
test_pipeline.py fixtures to use the new unified model.
Subtask 3/5: web app references.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Combines city_market_profile and location_opportunity_profile into a
single serving model at (country_code, geoname_id) grain. Both Market
Score and Opportunity Score computed per location. City data enriched
via LEFT JOIN dim_cities on geoname_id.
Subtask 1/5: create new model (old models not yet removed).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
SQLMesh's extensions config supports dict form with 'repository' key,
which runs INSTALL h3 FROM community + LOAD h3 automatically at connect
time. No manual one-time install needed per machine.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
