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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2026-05-04 23:35:22 +02:00
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---
name: load_boundary_gdf
kind: function
lang: py
domain: geo
version: "1.0.0"
purity: impure
signature: "def load_boundary_gdf(path: str | Path, crs: str = 'EPSG:4326') -> GeoDataFrame"
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."
tags: [geo, geojson, geopandas, crs, boundary, io]
uses_functions: []
uses_types: []
returns: []
returns_optional: false
error_type: "error_go_core"
imports: ["geopandas", "pathlib"]
params:
- name: path
desc: "Ruta al archivo GeoJSON."
- name: crs
desc: "CRS destino en formato EPSG. Default EPSG:4326 (WGS84)."
output: "GeoDataFrame con el CRS solicitado. Cada fila es una feature del GeoJSON."
tested: true
tests:
- "retorna GeoDataFrame con CRS EPSG:4326"
- "archivo inexistente lanza FileNotFoundError"
test_file_path: "python/functions/geo/tests/test_load_boundary_gdf.py"
file_path: "python/functions/geo/load_boundary_gdf.py"
source_repo: "internal:footprint_aurgi"
source_license: "internal-aurgi"
source_file: "ponderacion_isochronas/src/recomendador_centros.py:199"
---
## Ejemplo
```python
from geo.load_boundary_gdf import load_boundary_gdf
gdf = load_boundary_gdf("boundary.geojson", crs="EPSG:4326")
print(gdf.crs) # EPSG:4326
print(gdf.shape) # (n_features, n_columns)
```
## Notas
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.