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
parent f73ea072bd
commit faac610745
193 changed files with 13146 additions and 3 deletions
@@ -0,0 +1,82 @@
+"""Pipeline: calcula matriz de tiempo/distancia y isócronas para centros de servicio."""
+
+from __future__ import annotations
+
+import asyncio
+import sys
+import os
+
+_FUNCTIONS_DIR = os.path.join(os.path.dirname(__file__), "..")
+if _FUNCTIONS_DIR not in sys.path:
+    sys.path.insert(0, _FUNCTIONS_DIR)
+
+from geo.valhalla_matrix_1_to_n import valhalla_matrix_1_to_n
+from geo.valhalla_isochrones_async import valhalla_isochrones_async
+
+
+async def compute_centers_reachability_pipeline(
+    origins: list[tuple[float, float]],
+    centers: list[tuple[float, float]],
+    isochrone_minutes: int = 15,
+    base_url: str = "http://localhost:8002",
+    concurrency: int = 6,
+) -> dict:
+    """Calcula la accesibilidad de centros de servicio desde orígenes clientes.
+
+    Compone valhalla_matrix_1_to_n para obtener tiempos/distancias de todos
+    los pares (origin, center) y valhalla_isochrones_async para generar una
+    isócrona por cada centro.
+
+    Args:
+        origins: Lista de (lat, lon) de los clientes o puntos de origen.
+        centers: Lista de (lat, lon) de los centros de servicio.
+        isochrone_minutes: Minutos de isócrona a calcular para cada centro.
+        base_url: URL base del servidor Valhalla.
+        concurrency: Número máximo de requests async simultáneos para isócronas.
+
+    Returns:
+        Dict con claves:
+          "matrix"    (list[dict]): Un dict por par (origin_i, center_j) con
+                      {i, j, meters, seconds, error}. Orden: todos los centros
+                      para origin[0], luego origin[1], etc.
+          "isochrones" (list[dict|None]): Una isócrona GeoJSON por cada center,
+                      en el mismo orden. None si Valhalla falló para ese centro.
+    """
+    n_origins = len(origins)
+    n_centers = len(centers)
+
+    # Build all pairs: (origin_idx, center_idx)
+    pairs = [(i, j) for i in range(n_origins) for j in range(n_centers)]
+
+    # 1. Matrix: origins as sources, centers as destinations
+    raw_matrix = valhalla_matrix_1_to_n(
+        origins=origins,
+        destinations=centers,
+        pairs=pairs,
+        base_url=base_url,
+        concurrency=concurrency,
+    )
+
+    matrix = [
+        {
+            "i": pairs[k][0],
+            "j": pairs[k][1],
+            "meters": raw_matrix[k]["meters"],
+            "seconds": raw_matrix[k]["seconds"],
+            "error": raw_matrix[k]["error"],
+        }
+        for k in range(len(pairs))
+    ]
+
+    # 2. Isochrones: one per center
+    iso_requests = [
+        {"lat": lat, "lon": lon, "minutes": isochrone_minutes, "id": str(idx)}
+        for idx, (lat, lon) in enumerate(centers)
+    ]
+    isochrones = await valhalla_isochrones_async(
+        requests=iso_requests,
+        base_url=base_url,
+        concurrency=concurrency,
+    )
+
+    return {"matrix": matrix, "isochrones": list(isochrones)}