egutierrez
dabc945eda
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>
23 lines
824 B
Python
23 lines
824 B
Python
"""Expande un bounding box con un margen proporcional."""
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def extent_with_padding(
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bounds: tuple[float, float, float, float],
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pad_ratio: float = 0.05,
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) -> tuple[float, float, float, float]:
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"""Retorna un extent expandido con padding proporcional al tamano del bbox.
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El orden de salida es (minx, maxx, miny, maxy), conveniente para ejes de matplotlib.
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Args:
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bounds: tupla (minx, miny, maxx, maxy) del bounding box original.
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pad_ratio: fraccion del ancho/alto a anadir como margen por cada lado (por defecto 0.05).
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Returns:
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Tupla (minx - padx, maxx + padx, miny - pady, maxy + pady).
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"""
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minx, miny, maxx, maxy = bounds
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pad_x = (maxx - minx) * pad_ratio
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pad_y = (maxy - miny) * pad_ratio
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return (minx - pad_x, maxx + pad_x, miny - pad_y, maxy + pad_y)
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