Files
fn_registry/python/functions/geo/distance_bucket.md
T
egutierrez dabc945eda feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)
Extrae al registry funciones del proyecto interno footprint_aurgi:
- core (6): slugify_ascii, normalize_for_join, cp_provincia_es, infer_provincia_from_cp, safe_read_csv_fallback, csv_to_parquet_duckdb
- geo puras (7): haversine_km, point_in_ring, point_in_polygon, point_in_polygons_bbox, polygon_bbox, extent_with_padding, distance_bucket
- geo I/O (4): load_geojson_polygons, load_boundary_gdf, add_basemap_osm, add_basemap_with_timeout
- valhalla client (4): valhalla_route, valhalla_isochrone, valhalla_isochrones_async, valhalla_matrix_1_to_n
- datascience stats (7): trimmed_mean, geometric_mean, detect_distribution_type, best_central_tendency, summary_stats, kde_density_levels, alpha_shape_concave_hull
- datascience fuzzy (3): fuzzy_merge_adaptive (rapidfuzz), words_to_dataset, remove_words_from_column
- datascience viz (2): plot_kde_2d, plot_heatmap_log
- infra (4): compress_pdf_ghostscript, render_table_page_pdfpages, add_header_logo, osm2pgsql_ingest
- pipelines (4): setup_geo_stack_docker, compute_centers_reachability, generate_isochrones_by_zone, count_points_per_zone
- types geo (4): LonLat, BBox, IsochroneRequest, Centro

Incluye:
- apps/footprint_geo_stack/ (PostGIS + Martin + Valhalla via docker-compose)
- 131/132 tests pasan (1 skip esperado: osm2pgsql en PATH)
- Issue tracker dev/issues/0052-footprint-aurgi-extraction.md
- Atribucion uniforme: source_repo internal:footprint_aurgi, source_license internal-aurgi
- Build con 9 agentes en paralelo (8 wave 1 + 1 wave 2 pipelines)

Tambien commitea trabajo previo no commiteado: aggregate_extraction_results, chunk_with_overlap, clean_pdf_text, merge_entity_aliases, extract_graph_gliner2, extract_relations_mrebel, extract_triples_spacy_es, gliner2/mrebel/marianmt/rebel/spacy_es load_model, parse_rebel_output, translate_es_to_en, issue 0050/0051.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-04 23:35:22 +02:00

1.3 KiB

id, name, kind, lang, domain, version, purity, signature, description, tags, uses_functions, uses_types, returns, returns_optional, error_type, imports, example, tested, tests, test_file_path, file_path, params, output, source_repo, source_license, source_file
id name kind lang domain version purity signature description tags uses_functions uses_types returns returns_optional error_type imports example tested tests test_file_path file_path params output source_repo source_license source_file
distance_bucket_py_geo distance_bucket function py geo 1.0.0 pure distance_bucket(distance_km: float) -> str Clasifica una distancia en km en uno de los buckets: 0-5, 5-10, 10-20, 20-40, 40-80, 80-160, 160+.
geo
distance
bucket
classification
false
from geo.distance_bucket import distance_bucket distance_bucket(3.0) # "0-5" distance_bucket(7.0) # "5-10" distance_bucket(200.0) # "160+" true
bucket_0_5
bucket_5_10
bucket_borde_exacto
bucket_160_mas
python/functions/geo/tests/test_distance_bucket.py python/functions/geo/distance_bucket.py
name desc
distance_km distancia en kilometros a clasificar (valor >= 0)
cadena con el rango al que pertenece la distancia, p.ej. '0-5' o '160+' internal:footprint_aurgi internal-aurgi zonas_mapas_aurgi/backend/app.py:678

Ejemplo

from geo.distance_bucket import distance_bucket

distance_bucket(3.0)    # "0-5"
distance_bucket(50.0)   # "40-80"
distance_bucket(200.0)  # "160+"

Notas

Los bordes son inclusivos por la izquierda: distance_km <= edge retorna el bucket.