#!/usr/bin/env python3
"""Emit tools/art_wardrobe90.tsv — per-item doll art for the 16 base CLOTHES + all 1990
fashion-range items. Stems are <slot>_i_<slug> so doll_composite.install picks the slot
and the server derives the same key (see item_art_slug in server.py — SAME regex).
Descriptions carry each brand's signature look; 'no text, no logos' stays in the
template (flux garbles text; the silhouette + colours carry the brand)."""
import json, os, re

ROOT = os.path.join(os.path.dirname(__file__), '..')
slug = lambda s: re.sub(r'[^a-z0-9]+', '_', s.lower()).strip('_')

VIEW = {
    'hat':    'front view',
    'top':    'front view laid flat with the sleeves down',
    'bottom': 'front view laid perfectly flat on the ground',
    'shoes':  'the pair side by side, front view',
}
TAIL = ('floating centered on a plain pure white background, painterly stylized 3d game '
        'illustration, full item visible, no body, no person, no mannequin, no hanger, '
        'no coat hanger, no text, no logos')

def prompt(desc, slot):
    return (f'paper doll clothing item for a dress-up game, {desc}, 1990 australia, '
            f'{VIEW[slot]}, {TAIL}')

# ---- base CLOTHES (parody brands) — name -> (slot, description) ----
BASE = {
    'Kangaruu Bucket Hat':  ('hat',    'a worn khaki cotton bucket hat with a small embroidered kangaroo patch shape'),
    'Snapback (Faded)':     ('hat',    'a faded sun-bleached black snapback baseball cap, slightly bent flat brim'),
    'Feltways Fedora':      ('hat',    'a sharp charcoal grey felt fedora with a black band'),
    'Terry Towelling Hat':  ('hat',    'a classic white terry towelling cricket bucket hat with a soft floppy brim'),
    'Mombo Loud Shirt':     ('top',    'a loud short-sleeve surf art shirt covered in wild colourful cartoon dog and sun graphics, chaotic bold print'),
    'Stoosh Hoodie':        ('top',    'a heavyweight faded charcoal pullover street hoodie with a big front pocket'),
    'Silk Camp Collar':     ('top',    'an elegant slate blue silk camp collar short-sleeve shirt with a subtle sheen'),
    'Band Tee (Bootleg)':   ('top',    'a boxy black bootleg band t-shirt with a cracked faded skull and lightning print'),
    'Phat Cargo Pants':     ('bottom', 'a pair of extremely baggy sand-coloured cargo pants with huge side pockets'),
    'Pressed Slacks':       ('bottom', 'a pair of sharply pressed charcoal dress slacks with a crisp centre crease'),
    'Boardies':             ('bottom', 'a pair of bright teal and coral surf board shorts with a wave panel print'),
    'Raver JNCOs':          ('bottom', 'a pair of enormous ultra-wide-leg denim rave jeans, huge flared openings'),
    'Adidos Shelltops':     ('shoes',  'a pair of white leather shell-toe sneakers with three dark stripes on the sides'),
    'Doc Martys 8-Eye':     ('shoes',  'a pair of cherry red leather 8-eyelet lace-up boots with yellow stitching around the sole'),
    'Double-Pluggers':      ('shoes',  'a pair of cheap blue and white rubber thong sandals, flat and simple'),
    'Hi-Top Pumps':         ('shoes',  'a pair of chunky white and orange hi-top basketball sneakers with a small pump button on the tongue'),
}

# ---- 1990 fashion ranges — item name -> description (slot/vibe come from culture.json) ----
RANGE = {
    'Bootleg Acid House Smiley Tee': 'a cheap boxy white t-shirt with a big yellow acid house smiley face print, slightly crooked bootleg print',
    'Bootleg Hip-Hop Crew Tee':      'a cheap boxy black t-shirt with a faded colourful hip-hop crew graffiti graphic, bootleg quality print',
    'Womens Neon Crop Tee':          'a womens bright neon pink cropped t-shirt, boxy 1990 rave style',
    'adidas Track Jacket':           'a black zip-up track jacket with three crisp white stripes down each sleeve and a small trefoil-shaped chest emblem',
    'adidas Track Pants':            'a pair of black track pants with three white stripes down each leg, elastic ankle cuffs',
    'Womens adidas Track Skirt':     'a womens black sporty mini skirt with three white stripes down each side',
    'Coogi Sweater':                 'a wild multicoloured heavily textured 3d knitted sweater, swirling raised knit patterns in purple teal gold and red',
    'Womens Coogi Knit Dress':       'a womens fitted knee-length knitted dress in wild swirling multicoloured 3d textured knit, purple teal and gold',
    'Coogi Knit Beanie':             'a thick knitted beanie in swirling multicoloured textured knit, purple teal gold and red',
    'Rip Curl Boardshort':           'a pair of surf board shorts with bold colour-blocked panels in navy aqua and white with a wave curve motif',
    'Rip Curl Bucket Hat':           'a navy and aqua surf brand bucket hat with a small wave curve embroidery shape',
    'Womens Rip Curl Surf Tank':     'a womens aqua and white surf tank top with a sun-faded wave print',
    'Kmart Plain White Tee':         'a plain cheap white cotton crew-neck t-shirt, slightly thin fabric',
    'Kmart Cargo Shorts':            'a pair of plain beige budget cargo shorts with simple side pockets',
    'Womens Kmart Bike Shorts':      'a pair of womens plain black lycra bike shorts',
    'Stussy Heavyweight Tee':        'a heavyweight boxy white streetwear t-shirt with a black hand-drawn scrawled signature-style graphic',
    'Stussy Heavy Brushed Cargo':    'a pair of heavy olive brushed-cotton streetwear cargo pants, wide straight legs',
    'Stussy Pro Block Cap':          'a black streetwear baseball cap with a white hand-drawn scrawl embroidery shape on the front',
    'Versace Medusa Silk Shirt':     'a luxurious black silk shirt covered in an ornate gold baroque scroll print with a medusa head medallion motif',
    'Versace Medusa Jeans':          'a pair of black designer jeans with ornate gold baroque print down the legs and gold hardware',
    'Womens Versace Stiletto Heels': 'a pair of womens gold and black designer stiletto heels with ornate gold details',
    'Billabong Wave Logo Tee':       'a faded blue surf t-shirt with a big white curling wave graphic across the chest',
    'Billabong Walkshort':           'a pair of casual grey-blue cotton surf walkshorts, knee length',
    'Womens Billabong One Piece Swimsuit': 'a womens bright colour-blocked one piece swimsuit in teal pink and yellow panels',
    'Dunlop Volley Sneakers':        'a pair of classic plain white canvas tennis sneakers with a thin green and gold trim stripe and gum herringbone sole',
    'Dunlop Volley High Tops':       'a pair of white canvas high-top tennis sneakers with green and gold trim and gum sole',
    'Dunlop Sports Socks':           'a pair of white sports crew socks with two green stripes at the top, standing upright side by side',
    'Nike Air Max 90 Sneakers':      'a pair of chunky white grey and infrared running sneakers with a visible air cushion window in the heel and a curved side swoosh shape',
    'Nike Air Track Jacket':         'a colour-blocked track jacket in white grey and infrared red with a curved swoosh-shaped chest emblem',
    'Womens Nike Air Max 90':        'a pair of womens white grey and pink running sneakers with a visible air cushion window in the heel and curved side swoosh shape',
    'Polo Bear Sweater':             'a navy knitted sweater with a large knitted-in teddy bear wearing a suit on the chest',
    'Polo Chino Pants':              'a pair of neatly pressed khaki chino pants with a small embroidered polo player shape at the pocket',
    'Polo Cable Knit Hat':           'a cream cable-knit winter beanie with a folded brim',
    'Mambo Loud Shirt':              'a loud open-collar surf art shirt covered in chaotic colourful cartoon artwork of a farting dog and suns and waves, wild bold print',
    'Mambo Graphic Tee':             'a white t-shirt with a big colourful chaotic cartoon surf-art graphic of a barking dog',
    'Womens Mambo Art Dress':        'a womens short summer dress covered in loud colourful cartoon surf artwork print',
    'Army Disposal Camo Pants':      'a pair of authentic military surplus camouflage pants in australian bush camo, hard-wearing',
    'Army Disposal Camo Jacket':     'a military surplus camouflage field jacket in australian bush camo with chest pockets',
    'Army Disposal Boonie Hat':      'a military surplus olive green boonie hat with a wide soft brim and chin cord',
    'Fila Settanta Track Jacket':    'a retro tennis track jacket in white with navy and red colour-block bands across the chest and a small boxy F-shaped emblem',
    'Fila Settanta Track Pants':     'a pair of white retro tennis track pants with navy and red piping down the legs',
    'Fila Logo Cap':                 'a white sports baseball cap with navy and red colour blocking and a small boxy emblem shape',
    'Moschino Belt Buckle Dress':    'a womens fitted black designer mini dress with a print of gold belts and buckles wrapping around it',
    'Moschino Logo Blazer':          'a sharp black designer blazer with oversized gold buttons and gold chain trim details',
    'Womens Moschino Gold Jeans':    'a pair of womens black designer jeans with bold gold lettering-style shapes printed down one leg and gold hardware',
    'Quiksilver Boardshort':         'a pair of surf board shorts in a bold red white and black geometric mountain-and-wave panel print',
    'Quiksilver Rash Guard':         'a fitted long-sleeve surf rash guard in black with a red and white curved mountain-and-wave chest panel',
    'Womens Quiksilver Surf Shorts': 'a pair of womens short surf shorts in a bright mountain-and-wave geometric print',
}

rows, missing = [], []
for name, (slot, desc) in BASE.items():
    rows.append((f'{slot}_i_{slug(name)}', prompt(desc, slot)))

culture = json.load(open(os.path.join(ROOT, 'data', 'culture.json')))
for f in culture['1990']['fashion']:
    for it in f['items']:
        d = RANGE.get(it['name'])
        if not d: missing.append(it['name']); continue
        rows.append((f"{it['slot']}_i_{slug(it['name'])}", prompt(d, it['slot'])))

out = os.path.join(ROOT, 'tools', 'art_wardrobe90.tsv')
with open(out, 'w') as fh:
    fh.write(f'# {len(rows)} wardrobe items — 704x704 doll garment layers. base CLOTHES + 1990 ranges.\n')
    for stem, p in rows: fh.write(f'{stem}\t{p}\n')
print(f'wrote {out}: {len(rows)} prompts', f'MISSING DESCRIPTIONS: {missing}' if missing else '(all covered)')