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>
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---
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name: load_boundary_gdf
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kind: function
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lang: py
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domain: geo
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version: "1.0.0"
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purity: impure
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signature: "def load_boundary_gdf(path: str | Path, crs: str = 'EPSG:4326') -> GeoDataFrame"
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description: "Lee un GeoJSON con geopandas y normaliza el CRS. Si el archivo no tiene CRS lo asigna; si ya tiene CRS lo reproyecta al solicitado."
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tags: [geo, geojson, geopandas, crs, boundary, io]
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uses_functions: []
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uses_types: []
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returns: []
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returns_optional: false
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error_type: "error_go_core"
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imports: ["geopandas", "pathlib"]
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params:
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- name: path
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desc: "Ruta al archivo GeoJSON."
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- name: crs
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desc: "CRS destino en formato EPSG. Default EPSG:4326 (WGS84)."
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output: "GeoDataFrame con el CRS solicitado. Cada fila es una feature del GeoJSON."
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tested: true
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tests:
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- "retorna GeoDataFrame con CRS EPSG:4326"
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- "archivo inexistente lanza FileNotFoundError"
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test_file_path: "python/functions/geo/tests/test_load_boundary_gdf.py"
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file_path: "python/functions/geo/load_boundary_gdf.py"
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source_repo: "internal:footprint_aurgi"
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source_license: "internal-aurgi"
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source_file: "ponderacion_isochronas/src/recomendador_centros.py:199"
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---
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## Ejemplo
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```python
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from geo.load_boundary_gdf import load_boundary_gdf
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gdf = load_boundary_gdf("boundary.geojson", crs="EPSG:4326")
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print(gdf.crs) # EPSG:4326
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print(gdf.shape) # (n_features, n_columns)
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```
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## Notas
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Requiere geopandas. Si el archivo ya tiene CRS se llama `to_crs`; si no tiene CRS se llama `set_crs` para evitar advertencias de geopandas. Lanza FileNotFoundError antes de llamar a geopandas si el archivo no existe.
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