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>
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---
name: overpass_nearby_pois
kind: function
lang: py
domain: infra
version: "1.0.0"
purity: impure
signature: "overpass_nearby_pois(lat: float, lon: float, radius_m: int = 500, categories: list[str] | None = None) -> list[dict]"
description: "Consulta la Overpass API (OpenStreetMap) para obtener POIs cercanos a una coordenada. Soporta 16 categorias mapeadas a tags OSM (amenity, tourism, historic, leisure, shop). Sin dependencias externas, solo stdlib."
tags: [osm, openstreetmap, overpass, poi, geolocation, nearby, geocoding, infra, http, stdlib]
uses_functions: []
uses_types: []
returns: []
returns_optional: false
error_type: "error_go_core"
imports: ["json", "urllib.error", "urllib.parse", "urllib.request"]
params:
- name: lat
desc: "latitud del punto central de busqueda (grados decimales, -90 a 90)"
- name: lon
desc: "longitud del punto central de busqueda (grados decimales, -180 a 180)"
- name: radius_m
desc: "radio de busqueda en metros alrededor del punto central (defecto 500)"
- name: categories
desc: "lista de categorias a buscar entre: restaurant, cafe, bar, museum, monument, park, library, theatre, cinema, gallery, historic, tourism, shop, hotel, pharmacy, hospital. Si es None, usa todas las categorias comunes excepto hotel, pharmacy, hospital"
output: "lista de dicts con campos id (int), lat (float), lon (float), name (str), category (str) y tags (dict con todos los tags OSM del nodo)"
tested: false
tests: []
test_file_path: ""
file_path: "python/functions/infra/overpass_nearby_pois.py"
---
## Ejemplo
```python
from infra.overpass_nearby_pois import overpass_nearby_pois
# POIs en el centro de Madrid (radio 300m)
pois = overpass_nearby_pois(40.4168, -3.7038, radius_m=300, categories=["museum", "monument"])
# [{"id": 123, "lat": 40.417, "lon": -3.704, "name": "Museo del Prado", "category": "museum", "tags": {...}}, ...]
# Todos los tipos comunes en radio 500m (defecto)
all_pois = overpass_nearby_pois(48.8566, 2.3522)
# Bares y restaurantes cerca de la Sagrada Familia
food = overpass_nearby_pois(41.4036, 2.1744, radius_m=200, categories=["restaurant", "cafe", "bar"])
```
## Mapeo de categorias a tags OSM
| Categoria | Tag OSM |
|-------------|----------------------|
| restaurant | amenity=restaurant |
| cafe | amenity=cafe |
| bar | amenity=bar |
| museum | tourism=museum |
| monument | historic=monument |
| park | leisure=park |
| library | amenity=library |
| theatre | amenity=theatre |
| cinema | amenity=cinema |
| gallery | tourism=gallery |
| historic | historic=* |
| tourism | tourism=* |
| shop | shop=* |
| hotel | tourism=hotel |
| pharmacy | amenity=pharmacy |
| hospital | amenity=hospital |
## Notas
Solo usa stdlib (urllib.request, urllib.parse, json). Sin dependencias externas.
La query Overpass QL usa union de nodos `(node[...]; node[...];)` con `out body` para obtener coordenadas y tags completos.
El endpoint publico `https://overpass-api.de/api/interpreter` tiene rate limits informales — para uso intensivo considerar un servidor Overpass propio o la instancia de kumi.systems.
El campo `category` refleja la primera coincidencia en el diccionario interno `_CATEGORY_TAGS`, que sigue el orden de insercion de Python 3.7+. Si un nodo tiene multiples tags relevantes (ej: un bar que tambien es restaurante), la categoria asignada sera la primera que matchee.
Timeout hardcodeado a 10 segundos tanto en la directiva Overpass QL `[timeout:10]` como en `urlopen(timeout=10)`.