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: add_header_logo
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kind: function
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lang: py
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domain: infra
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version: "1.0.0"
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purity: impure
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signature: "add_header_logo(fig: Figure, image: np.ndarray, x: float = 0.88, y: float = 0.905, width: float = 0.08, height: float = 0.08) -> None"
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description: "Añade un logo como axes inset en la esquina superior derecha de una figura matplotlib. Usa fig.add_axes + imshow + axis off. Útil para branding en páginas de informe PDF."
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tags: [pdf, matplotlib, logo, report, infra]
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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: [matplotlib]
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params:
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- name: fig
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desc: "Figura matplotlib donde se inserta el logo."
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- name: image
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desc: "Array numpy H×W×C con los datos de imagen del logo (e.g. de imread o PIL)."
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- name: x
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desc: "Borde izquierdo del axes en coordenadas de figura (0-1). Default 0.88."
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- name: y
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desc: "Borde inferior del axes en coordenadas de figura (0-1). Default 0.905."
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- name: width
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desc: "Ancho del axes en coordenadas de figura (0-1). Default 0.08."
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- name: height
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desc: "Alto del axes en coordenadas de figura (0-1). Default 0.08."
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output: "None. Modifica la figura in-place añadiendo un axes con el logo."
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tested: true
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tests:
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- "figura nueva con imagen zeros no lanza excepcion"
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- "axes de logo tiene axis off"
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test_file_path: "python/functions/infra/tests/test_add_header_logo.py"
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file_path: "python/functions/infra/add_header_logo.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"
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---
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## Ejemplo
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```python
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import matplotlib
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matplotlib.use("Agg")
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import matplotlib.pyplot as plt
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import numpy as np
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logo = np.zeros((50, 200, 3), dtype=np.uint8) # o matplotlib.image.imread("logo.png")
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fig, ax = plt.subplots(figsize=(11.69, 8.27))
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add_header_logo(fig, logo)
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```
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## Notas
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La posición por defecto (x=0.88, y=0.905) coloca el logo en la esquina superior derecha
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para figuras A4 landscape. Ajustar x, y, width, height para otros tamaños.
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