Granian is ~3-5x faster than Hypercorn in benchmarks. No code changes
needed — Quart is standard ASGI so any ASGI server works.
- web/pyproject.toml: hypercorn → granian>=1.6.0 (installed: 2.7.1)
- Dockerfile CMD: hypercorn → granian --interface asgi
- core.py setup_logging(): silence granian loggers instead of hypercorn's
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Replace the old CSV-upload-based CMS with an SSG architecture where
templates live in git as .md.jinja files with YAML frontmatter and
data comes directly from DuckDB serving tables. Only articles and
published_scenarios remain in SQLite for routing/state.
- Content module: discover, load, generate, preview functions
- Migration 0018: drop article_templates + template_data, recreate
articles + published_scenarios without FK references, add
template_slug/language/date_modified/seo_head columns
- Admin routes: read-only template views with generate/regenerate/preview
- SEO pipeline: canonical URLs, hreflang (EN+DE), JSON-LD (Article,
FAQPage, BreadcrumbList), Open Graph tags baked at generation time
- Example template: city-cost-de.md.jinja for German city market data
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add maximum_object_size=128MB to read_json for 14K-venue tenants file
- Rewrite opening_hours to use UNION ALL unpivot (DuckDB struct dynamic access)
- Add seed file guard for availability model (empty result on first run)
- Fix snapshot_date VARCHAR→DATE comparison in venue_pricing_benchmarks
- Fix export_serving to resolve SQLMesh physical tables from view definitions
(SQLMesh views reference "local" catalog unavailable outside its context)
- Add pyarrow dependency for Arrow-based cross-connection data transfer
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Split monolithic execute.py into per-source modules with separate CLI
entry points. Each extractor now uses the framework from utils.py:
- SQLite state tracking (start_run / end_run per extractor)
- Proper logging (replace print() with logger)
- Atomic gzip writes (write_gzip_atomic)
- Connection pooling (niquests.Session)
- Bounded pagination (MAX_PAGES_PER_BBOX = 500)
New entry points:
extract — run all 4 extractors sequentially
extract-overpass — OSM padel courts
extract-eurostat — city demographics (etag dedup)
extract-playtomic-tenants — venue listings
extract-playtomic-availability — booking slots + pricing (NEW)
The availability extractor reads tenant IDs from the latest tenants.json.gz,
queries next-day slots for each venue, and stores daily consolidated snapshots.
Supports resumability via cursor and retry with backoff.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
analytics.py imports duckdb at the top level. The Dockerfile runs
`uv sync --package padelnomics` which only installs padelnomics deps —
duckdb was missing, so hypercorn failed to import padelnomics.app
entirely and never bound to port 5000. The health check timed out and
the container was marked unhealthy. Tests passed because uv sync in CI
syncs all workspace members (including transform/ which has duckdb).
Co-Authored-By: Claude Sonnet 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>
