import os, glob, yaml, json

posts = sorted(glob.glob('src/content/posts/*.md'))

ACCENTS = {
    'devops': 'cyan and vibrant emerald green (#4ade80)',
    'engineering': 'royal cobalt blue (#295cff) with crisp ice-white',
    'ai': 'neon-cyan and electric violet-magenta',
    'web3': 'translucent emerald (#10b981) and prism-split cyan',
    'tutorials': 'electric cyan and soft ultraviolet spectrum',
    'case-studies': 'emerald green (#4ade80) status nodes and gold telemetry',
    'notes': 'warm amber-orange warning glow (#fbbf24)'
}

SPECIFIC_METAPHORS = {
    'running-production-infrastructure-solo': (
        'Three massive interconnected obsidian server monoliths, surrounded by dense floating micro-glass container matrices representing 162 modular services, routed by glowing fiber optic pipelines into a single master control console',
        '162 containers · 3 hosts · 78 stacks'
    ),
    'loop-engineering-without-a-coding-agent': (
        'Eleven concentric circular obsidian gear loops rotating in mechanical harmony, eight solid pure crystal clockwork rings alongside three subtle neural pulse rings, operating autonomously without human intervention',
        '11 cron jobs · 8 zero-AI loops'
    ),
    'one-prometheus-for-unraid-synology-and-a-vps': (
        'A single radiant central telemetry beacon sending precision laser monitoring vectors to three distinct hexagonal platform nodes, illuminating transparent storage volumes with holographic metrics',
        '3 hosts · 1 prometheus · 0 false panels'
    ),
    'self-healing-digital-goods-entitlements': (
        'A multi-stage floating acrylic workflow pathway with five interlocking diamond gates, automatically self-repairing broken link fragments with glowing golden solder',
        '5 workflows · NocoDB + n8n + AList'
    ),
    'docker-reported-exit-0-the-oom-killer-disagreed': (
        'A translucent glass server cube displaying a deceptive green heartbeat light, while a razor-sharp crimson kernel laser beam slices through its bottom core, scattering fractured memory crystals',
        'exit 0 · dmesg: 6x cgroup OOM kills'
    ),
    'my-backup-was-using-someone-elses-api-quota': (
        'A massive high-throughput data conduit bottlenecked at a narrow glowing amber hourglass valve, only releasing single sparse droplets into a dark repository vault below',
        '1 TB restic seed · shared rclone quota'
    ),
    'calibrating-intel-quick-sync-hevc-quality': (
        'A 3D topographic luminous video waveform mountain dropping abruptly off a 90-degree vertical cliff edge marked at 28, flanked by two perfectly identical overlapping optical calibration prisms',
        'ICQ 18-22 vs 28 cliff · QSV measured'
    ),
    'i-let-an-agent-manage-my-shopee-vouchers': (
        'An intricate rotating glass agent decision loop, where an unexpected stray orange pulse vector veers off the blueprint track, materializing an unauthorized glowing geometric voucher card in mid-air',
        'mode=propose gate · RM140 voucher unapproved'
    ),
    'why-your-cdp-clicks-silently-fail': (
        'A high-precision robotic cursor pointer clicking onto a translucent glass UI button that has already shifted away due to an invisible kinetic wave, triggering zero DOM resonance',
        'scroll-behavior:smooth · rect expired'
    ),
    'space-reclamation-wasnt-stuck-it-was-waiting': (
        'A massive btrfs filesystem disk cylinder slowly draining fragmented blue blocks into an obsidian reclamation pit, guided by a precision holographic timer dial count down',
        '121 GiB returned · scheduled 09:29'
    ),
    'five-step-ai-roadmap-what-i-actually-run': (
        'A five-tier architectural staircase in dark graphite, with the middle tiers brightly illuminated with active hardware racks while speculative top tiers remain skeletal wireframes',
        'whisper + mem0 in production · step 4 skipped'
    )
}

def derive_metaphor(title, desc, cat, tags):
    title_l = title.lower()
    desc_l = desc.lower()
    
    if any(k in title_l for k in ['backup', 'restic', 'rclone']):
        return (
            'A secure armored cryptographic data vault connected by glowing braided conduit cables, archiving shimmering memory slabs into deep subterranean storage partitions',
            'automated backup verification · zero-loss'
        )
    if any(k in title_l for k in ['container', 'docker', 'compose']):
        return (
            'Modular glowing cubic container blocks neatly docked into an industrial server chassis, synchronized by high-speed optic interconnects',
            'containerized topology · isolated runtime'
        )
    if any(k in title_l for k in ['disk', 'smartctl', 'btrfs', 'nas', 'storage', 'raid']):
        return (
            'A precision laser diagnostic sensor scanning a floating high-density magnetic storage platter, revealing microscopic sector heatmaps',
            'storage diagnostics · SMART telemetry'
        )
    if any(k in title_l for k in ['agent', 'llm', 'ai', 'gpt', 'token']):
        return (
            'Concentric acrylic rings of an autonomous neural decision core, pulsing with directed cyan synaptic data packets along vector paths',
            'autonomous loop · constrained execution'
        )
    if any(k in title_l for k in ['dns', 'mail', 'postfix', 'mailcow', 'email']):
        return (
            'An intricate routing matrix of optical network fiber switches, filtering and directing packet envelopes through cryptographic security barriers',
            'mail protocol routing · DKIM / SPF handshake'
        )
    if any(k in title_l for k in ['video', 'transcode', 'ffmpeg', 'hevc', 'audio', 'song']):
        return (
            'A cascading optical prism slicing raw video wavebands into ultra-compact high-efficiency spectral ribbons on a dark reflective surface',
            'HEVC hardware pipeline · lossless fidelity'
        )
    if any(k in title_l for k in ['traefik', 'proxy', 'ssl', 'tls', 'nginx', 'cloudflare']):
        return (
            'An impenetrable dark-glass gateway perimeter routing colored ingress traffic streams through dynamic cryptographic reverse-proxy channels',
            'reverse proxy routing · dynamic ingress'
        )
    if any(k in title_l for k in ['codeigniter', 'php', 'database', 'mysql', 'commit', 'churn', 'lines']):
        return (
            'Interlocking precision architectural pillars and modular computational foundations, supporting a clean crystalline software framework',
            'verification gates · deterministic code'
        )
    
    # Generic high-tech fallbacks by category
    if cat == 'devops':
        return (
            'Sleek industrial rackmount hardware with glowing diagnostic bus cables, routing high-throughput telemetry streams across redundant server clusters',
            'production DevOps · verified metrics'
        )
    elif cat == 'ai':
        return (
            'An elegant geometric lattice core radiating structured synaptic energy pulses across an organized neural topological network',
            'AI automation · deterministic controls'
        )
    elif cat == 'web3':
        return (
            'An isometric floating crystalline polyhedral block with precision laser-etched mathematical vectors and internal emerald prism reflections',
            'on-chain verification · cryptographic math'
        )
    elif cat == 'tutorials':
        return (
            'A clean modular educational workbench of floating holographic schematic layers and precision calibration instruments',
            'step-by-step telemetry · reproducible setup'
        )
    elif cat == 'case-studies':
        return (
            'An expansive architectural blueprint of enterprise private cloud nodes interconnected by luminous data pathways and telemetry readouts',
            'enterprise delivery · real-world production'
        )
    else: # notes
        return (
            'A minimalist diagnostic probe examining a micro-structural hardware flaw illuminated by a subtle amber pinpoint warning light',
            'root-cause analysis · production evidence'
        )

catalog = []
for p in posts:
    slug = os.path.basename(p)[:-3]
    with open(p, 'r', encoding='utf-8') as f:
        content = f.read()
    parts = content.split('---')
    if len(parts) < 3: continue
    try: data = yaml.safe_load(parts[1])
    except: continue
    if data.get('draft'): continue
    
    title = data.get('title', slug)
    desc = data.get('description', '')
    cat = data.get('category', 'engineering')
    tags = data.get('tags', [])[:3]
    
    accent = ACCENTS.get(cat, 'royal cobalt blue (#295cff)')
    
    if slug in SPECIFIC_METAPHORS:
        unique_elem, evidence = SPECIFIC_METAPHORS[slug]
    else:
        unique_elem, evidence = derive_metaphor(title, desc, cat, tags)
        
    prompt = (
        f"{unique_elem}, styled as a modern dark cyber-bento 3D concept and technical blueprint schematic. "
        f"Sleek matte obsidian hardware, frosted acrylic glass surfaces, subtle ultra-thin blueprint coordinate crosshairs "
        f"and vector topology lines in the background. Strictly off-center composition: the 3D focal subject is positioned "
        f"exclusively in the right 38% of the canvas, leaving vast, clean, uncluttered dark negative space across the entire "
        f"left 62% for UI overlay. Deep midnight slate background (#0b0f19 to #111827), volumetric rim lighting in royal blue (#4d82ff) "
        f"with {accent} highlights, raytraced ambient occlusion, macro depth of field, 8k resolution, "
        f"no text, no typography, no letters, no numbers, no HUD labels, no watermark."
    )
    
    catalog.append({
        'slug': slug,
        'title': title,
        'category': cat,
        'tags': tags,
        'accent': accent,
        'unique_elements': unique_elem,
        'evidence_summary': evidence,
        'prompt': prompt
    })

os.makedirs('scripts/og-gen', exist_ok=True)
with open('scripts/og-gen/prompts_catalog.json', 'w', encoding='utf-8') as f:
    json.dump(catalog, f, indent=2, ensure_ascii=False)

print(f"Generated complete prompts catalog for {len(catalog)} posts in scripts/og-gen/prompts_catalog.json")

out_md = "C:/Users/hoelee/Desktop/blog-og-image-redesign-brief/03-72-Posts-Visual-Prompts-Catalog.md"
with open(out_md, 'w', encoding='utf-8') as f:
    f.write("# 72 篇技术文章专属视觉意象与 Prompt 全景目录 (Prompts Catalog)\n\n")
    f.write("> 由 Hermes Agent 根据外部设计顾问定调公式自动提取生成：固定品牌底座 (60%) + 单篇专属独特隐喻 (40%)\n\n")
    f.write("| # | 分类 | 文章 Slug 与标题 | 单篇专属物理隐喻与动作状态 | 硬核证据条摘要 |\n")
    f.write("|---|---|---|---|---|\n")
    for i, it in enumerate(catalog, 1):
        f.write(f"| {i} | `{it['category']}` | **{it['title']}**<br>`{it['slug']}` | {it['unique_elements']} | `${it['evidence_summary']}` |\n")

print(f"Readable summary written to {out_md}")