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>
2.3 KiB
2.3 KiB
name, kind, lang, domain, version, purity, signature, description, tags, uses_functions, uses_types, returns, returns_optional, error_type, imports, params, output, tested, tests, test_file_path, file_path, source_repo, source_license, source_file
| name | kind | lang | domain | version | purity | signature | description | tags | uses_functions | uses_types | returns | returns_optional | error_type | imports | params | output | tested | tests | test_file_path | file_path | source_repo | source_license | source_file | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| render_table_page_pdfpages | function | py | infra | 1.0.0 | impure | render_table_page_pdfpages(pdf: PdfPages, title: str, rows: list[list[str]], col_labels: list[str], max_rows: int = 28, figsize: tuple[float, float] = (11.69, 8.27), fontsize: int = 8, dpi: int = 300) -> None | Renderiza filas como páginas de tabla paginadas en un PdfPages abierto. Usa matplotlib.pyplot.table con paginación automática por max_rows. Una página A4 landscape por chunk. |
|
false | error_go_core |
|
|
None. Escribe páginas directamente en el PdfPages proporcionado. | true |
|
python/functions/infra/tests/test_render_table_page_pdfpages.py | python/functions/infra/render_table_page_pdfpages.py | internal:footprint_aurgi | internal-aurgi | ponderacion_isochronas/src/recomendador_centros.py |
Ejemplo
import matplotlib
matplotlib.use("Agg")
from matplotlib.backends.backend_pdf import PdfPages
rows = [[str(i), f"valor_{i}"] for i in range(50)]
with PdfPages("tabla.pdf") as pdf:
render_table_page_pdfpages(pdf, "Informe de centros", rows, ["ID", "Valor"])
Notas
Requiere matplotlib. Backend Agg recomendado en entornos sin pantalla.
Cada chunk de filas genera exactamente una página. Con rows vacío genera una página vacía.