57 lines
2.2 KiB
Python
57 lines
2.2 KiB
Python
"""Fetch Top 100 Beatport per genere.
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Approccio: estrai il JSON `__NEXT_DATA__` dal HTML della pagina Next.js.
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Bypass Cloudflare via curl_cffi (TLS impersonation).
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Vedi docs/superpowers/specs/2026-07-14-beatport-charts-design.md.
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"""
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from __future__ import annotations
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# Mappa slug URL Beatport -> (numeric_id, display_name)
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# Enumerata via scripts/refresh_beatport_genres.py (Task 1).
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# Copia dell'output di /tmp/genres_output.txt (31 generi).
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GENRES: dict = {
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"drum-bass": (1, "Drum & Bass"),
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"hard-techno": (2, "Hard Techno"),
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"electronica": (3, "Electronica"),
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"house": (5, "House"),
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"techno-peak-time-driving": (6, "Techno (Peak Time / Driving)"),
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"trance-main-floor": (7, "Trance (Main Floor)"),
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"hard-dance-hardcore-neo-rave": (8, "Hard Dance / Hardcore / Neo Rave"),
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"breaks-breakbeat-uk-bass": (9, "Breaks / Breakbeat / UK Bass"),
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"tech-house": (11, "Tech House"),
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"deep-house": (12, "Deep House"),
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"psy-trance": (13, "Psy-Trance"),
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"minimal-deep-tech": (14, "Minimal / Deep Tech"),
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"progressive-house": (15, "Progressive House"),
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"dubstep": (18, "Dubstep"),
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"indie-dance": (37, "Indie Dance"),
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"trap-future-bass": (38, "Trap / Future Bass"),
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"dance-pop": (39, "Dance / Pop"),
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"nu-disco-disco": (50, "Nu Disco / Disco"),
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"funky-house": (81, "Funky House"),
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"bass-club": (85, "Bass / Club"),
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"uk-garage-bassline": (86, "UK Garage / Bassline"),
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"afro-house": (89, "Afro House"),
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"melodic-house-techno": (90, "Melodic House & Techno"),
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"bass-house": (91, "Bass House"),
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"techno-raw-deep-hypnotic": (92, "Techno (Raw / Deep / Hypnotic)"),
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"organic-house": (93, "Organic House"),
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"electro-classic-detroit-modern": (94, "Electro (Classic / Detroit / Modern)"),
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"140-deep-dubstep-grime": (95, "140 / Deep Dubstep / Grime"),
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"mainstage": (96, "Mainstage"),
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"jackin-house": (97, "Jackin House"),
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"trance-raw-deep-hypnotic": (99, "Trance (Raw / Deep / Hypnotic)"),
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}
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def list_genres() -> list:
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"""Ritorna [{slug, id, name}, ...] ordinato alfabeticamente per name."""
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result = [
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{"slug": slug, "id": gid, "name": name}
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for slug, (gid, name) in GENRES.items()
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]
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result.sort(key=lambda g: g["name"].casefold())
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return result
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