Three deviations from the quart_saas_boilerplate methodology corrected:
1. Fix dim_cities LIKE join (data quality bug)
- Old: FROM eurostat_cities LEFT JOIN venue_counts LIKE '%country_code%'
→ cartesian product (2.6M rows vs ~5500 expected)
- New: FROM venue_cities (dim_venues) as primary table, Eurostat for
enrichment only. grain (country_code, city_slug).
- Also fixes REGEXP_REPLACE to LOWER() before regex so uppercase city
names aren't stripped to '-'
2. Rename fct_venue_capacity → dim_venue_capacity
- Static venue attributes with no time key are a dimension, not a fact
- No SQL logic changes; update fct_daily_availability reference
3. Add fct_availability_slot at event grain
- New: grain (snapshot_date, tenant_id, resource_id, slot_start_time)
- Recheck dedup logic moves here from fct_daily_availability
- fct_daily_availability now reads fct_availability_slot (cleaner DAG)
Downstream fixes:
- city_market_profile, planner_defaults grain → (country_code, city_slug)
- pseo_city_costs_de, pseo_city_pricing add city_key composite natural key
(country_slug || '-' || city_slug) to avoid URL collisions across countries
- planner_defaults join in pseo_city_costs_de uses both country_code + city_slug
- Templates updated: natural_key city_slug → city_key
Added transform/sqlmesh_padelnomics/CLAUDE.md documenting data modeling rules,
conformed dimension map, and source integration architecture.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Prerequisite for all pSEO serving models. Adds CASE-based country_name_en
and URL-safe country_slug to foundation.dim_cities, then selects them through
serving.city_market_profile so downstream models inherit them automatically.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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>
Eurostat JSON-stat format (4-7 dimension sparse dict with 583K values)
causes DuckDB OOM — pre-process in extractor to flat records.
Also fix dim_cities unused CTE bug and playtomic venue lat/lon path.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Remove raw/ layer — staging models now read landing JSON directly.
Rename all model schemas from padelnomics.* to staging.*/foundation.*/serving.*.
Web app queries updated to serving.planner_defaults via SERVING_DUCKDB_PATH.
Supervisor gets daily sleep interval between pipeline runs.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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>
