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>
51 lines
1.5 KiB
Python
51 lines
1.5 KiB
Python
"""Isócrona de un punto via Valhalla routing engine."""
|
|
|
|
from __future__ import annotations
|
|
|
|
import httpx
|
|
|
|
|
|
def valhalla_isochrone(
|
|
lat: float,
|
|
lon: float,
|
|
minutes: int,
|
|
base_url: str = "http://localhost:8002",
|
|
costing: str = "auto",
|
|
denoise: float = 0.6,
|
|
generalize_m: int = 50,
|
|
polygons: bool = True,
|
|
timeout_s: float = 120.0,
|
|
) -> dict | None:
|
|
"""Calcula la isócrona de un punto usando Valhalla.
|
|
|
|
Args:
|
|
lat: Latitud del punto de origen.
|
|
lon: Longitud del punto de origen.
|
|
minutes: Tiempo de viaje en minutos para el contorno.
|
|
base_url: URL base del servidor Valhalla.
|
|
costing: Modelo de coste ('auto', 'bicycle', 'pedestrian', etc.).
|
|
denoise: Factor de suavizado del contorno (0-1). Por defecto 0.6.
|
|
generalize_m: Tolerancia de generalización en metros. Por defecto 50.
|
|
polygons: Si True retorna polígono; si False retorna línea.
|
|
timeout_s: Timeout en segundos. Por defecto 120.
|
|
|
|
Returns:
|
|
GeoJSON dict con la isócrona o None si error.
|
|
"""
|
|
url = f"{base_url.rstrip('/')}/isochrone"
|
|
payload = {
|
|
"locations": [{"lat": lat, "lon": lon}],
|
|
"costing": costing,
|
|
"contours": [{"time": minutes}],
|
|
"polygons": polygons,
|
|
"denoise": denoise,
|
|
"generalize": generalize_m,
|
|
"format": "geojson",
|
|
}
|
|
try:
|
|
r = httpx.post(url, json=payload, timeout=httpx.Timeout(timeout_s))
|
|
r.raise_for_status()
|
|
return r.json()
|
|
except Exception:
|
|
return None
|