Commit Graph

6 Commits

Author SHA1 Message Date
egutierrez 47fac22230 chore: auto-commit (799 archivos)
- .claude/CLAUDE.md
- .claude/commands/subagentes.md
- .claude/rules/INDEX.md
- .mcp.json
- bash/functions/cybersecurity/analyze_dns.md
- bash/functions/cybersecurity/audit_http_headers.md
- bash/functions/cybersecurity/audit_ssh_config.md
- bash/functions/cybersecurity/check_firewall.md
- bash/functions/cybersecurity/detect_suspicious_users.md
- bash/functions/cybersecurity/encrypt_file.md
- ...

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-14 00:28:20 +02:00
egutierrez faac610745 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>
2026-05-04 23:35:22 +02:00
egutierrez dede5e00af feat: add Python core and infra functions — PWA, geocoding, POI matching
Nuevas funciones Python: build_guide_prompt, generate_pwa_manifest,
generate_service_worker, match_pois_to_interests (core), nominatim_reverse_geocode,
ollama_chat, overpass_nearby_pois (infra). Incluye tests unitarios.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-06 23:47:19 +02:00
egutierrez 988e901066 docs: params/output semántico en 506 funciones para composabilidad
Añade campos params y output al frontmatter YAML de las 506 funciones del registry.
Cada parámetro tiene descripción semántica (qué representa, unidades, rango típico)
y cada función describe qué produce su output. Permite a agentes razonar sobre
cadenas de composición (ej: prices → log_return → sharpe_ratio) sin leer código.
2026-04-05 18:45:16 +02:00
egutierrez 928a3319d5 feat: funciones Python core — parsers, formatters, retry, serialización, LLM utils y más
178 archivos: módulo core.py actualizado + ~80 funciones nuevas con tests.
Incluye: parse_llm_json, extract_text_from_file, retry_with_backoff, circuit_breaker,
from_csv/to_csv, from_jsonl/to_jsonl, html_to_markdown, pdf_to_markdown, docx/epub/excel
converters, cache_decorator, react_loop, task_manager, template rendering, entre otros.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-05 17:11:21 +02:00
egutierrez 95959f713c feat: funciones Python para core, cybersecurity, datascience y finance
Agrega funciones Python reutilizables organizadas por dominio:
- core: composicion funcional (pipe, compose, map, filter, reduce, etc.)
- cybersecurity: analisis de amenazas y puertos
- datascience: estadisticas y deteccion de outliers
- finance: indicadores tecnicos y analisis financiero
2026-03-29 00:13:50 +01:00