faac610745
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>
41 lines
886 B
TOML
41 lines
886 B
TOML
[project]
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name = "fn-registry-python"
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version = "0.1.0"
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description = "Funciones Python del fn-registry: Metabase API, ML, utilidades"
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readme = "README.md"
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requires-python = ">=3.12"
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dependencies = [
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"contextily>=1.7.0",
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"cryptography>=46.0.6",
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"duckdb>=1.5.2",
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"fpdf2>=2.8.7",
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"geopandas>=1.1.3",
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"google-cloud-bigquery>=3.25",
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"google-cloud-bigquery-datatransfer>=3.22.0",
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"google-cloud-bigquery-storage>=2.27",
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"google-cloud-storage>=3.10.1",
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"httpx",
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"matplotlib>=3.10.9",
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"openpyxl>=3.1.5",
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"pypdf>=6.10.0",
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"pyproj>=3.7.2",
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"python-docx>=1.2.0",
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"pyyaml>=6.0.3",
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"rapidfuzz>=3.14.5",
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"reportlab>=4.5.0",
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"seaborn>=0.13.2",
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"shapely>=2.1.2",
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"xlrd>=2.0.2",
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]
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[project.optional-dependencies]
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nlp = [
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"gliner>=0.2.13",
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"glirel>=1.0.0",
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]
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[dependency-groups]
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dev = [
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"pytest>=9.0.2",
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]
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