"""
ParamHub - 参数百科
AI大模型与硬件参数速查平台
"""

from flask import Flask, render_template, jsonify, request
from flask_cors import CORS
import json
from pathlib import Path
from datetime import datetime

app = Flask(__name__, static_folder='static', static_url_path='/static')
CORS(app)

# 数据目录
DATA_DIR = Path(__file__).parent / 'data'
DATA_DIR.mkdir(exist_ok=True)

# 数据文件
MODELS_FILE = DATA_DIR / 'models.json'
GPUS_FILE = DATA_DIR / 'gpus.json'
CPUS_FILE = DATA_DIR / 'cpus.json'

def load_data(file_path):
    """加载JSON数据"""
    if file_path.exists():
        return json.loads(file_path.read_text(encoding='utf-8'))
    return []

def save_data(file_path, data):
    """保存JSON数据"""
    file_path.write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding='utf-8')

# ============ 页面路由 ============

@app.route('/')
def index():
    """首页"""
    return render_template('index.html')

@app.route('/models')
def models_page():
    """模型数据库页面"""
    return render_template('models.html')

@app.route('/gpus')
def gpus_page():
    """GPU数据库页面"""
    return render_template('gpus.html')

@app.route('/cpus')
def cpus_page():
    """CPU数据库页面"""
    return render_template('cpus.html')

@app.route('/tools')
def tools_page():
    """工具页面"""
    return render_template('tools.html')

@app.route('/compare')
def compare_page():
    """对比页面"""
    return render_template('compare.html')

@app.route('/knowledge')
def knowledge_page():
    """知识库页面"""
    return render_template('knowledge.html')

# ============ API路由 ============

@app.route('/api/models')
def api_models():
    """获取模型列表"""
    models = load_data(MODELS_FILE)
    
    # 搜索过滤
    keyword = request.args.get('q', '').strip().lower()
    if keyword:
        models = [m for m in models if keyword in m.get('name', '').lower() or 
                  keyword in m.get('organization', '').lower()]
    
    # 排序
    sort_by = request.args.get('sort', 'name')
    reverse = request.args.get('order', 'asc') == 'desc'
    
    if sort_by in ['name', 'parameters', 'context_length', 'mmlu']:
        models = sorted(models, key=lambda x: x.get(sort_by, 0) or 0, reverse=reverse)
    
    return jsonify(models)

@app.route('/api/models/<model_id>')
def api_model_detail(model_id):
    """获取单个模型详情"""
    models = load_data(MODELS_FILE)
    model = next((m for m in models if m['id'] == model_id), None)
    
    if not model:
        return jsonify({'error': 'Model not found'}), 404
    
    return jsonify(model)

@app.route('/api/models', methods=['POST'])
def api_create_model():
    """创建新模型"""
    data = request.get_json()
    models = load_data(MODELS_FILE)
    
    # 生成ID
    import uuid
    data['id'] = uuid.uuid4().hex[:12]
    data['created_at'] = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
    
    models.append(data)
    save_data(MODELS_FILE, models)
    
    return jsonify(data)

@app.route('/api/models/<model_id>', methods=['PUT'])
def api_update_model(model_id):
    """更新模型"""
    data = request.get_json()
    models = load_data(MODELS_FILE)
    
    model = next((m for m in models if m['id'] == model_id), None)
    if not model:
        return jsonify({'error': 'Model not found'}), 404
    
    model.update(data)
    model['updated_at'] = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
    save_data(MODELS_FILE, models)
    
    return jsonify(model)

@app.route('/api/models/<model_id>', methods=['DELETE'])
def api_delete_model(model_id):
    """删除模型"""
    models = load_data(MODELS_FILE)
    models = [m for m in models if m['id'] != model_id]
    save_data(MODELS_FILE, models)
    
    return jsonify({'success': True})

@app.route('/api/gpus')
def api_gpus():
    """获取GPU列表"""
    gpus = load_data(GPUS_FILE)
    
    keyword = request.args.get('q', '').strip().lower()
    if keyword:
        gpus = [g for g in gpus if keyword in g.get('name', '').lower() or 
                keyword in g.get('manufacturer', '').lower()]
    
    return jsonify(gpus)

@app.route('/api/gpus/<gpu_id>')
def api_gpu_detail(gpu_id):
    """获取单个GPU详情"""
    gpus = load_data(GPUS_FILE)
    gpu = next((g for g in gpus if g['id'] == gpu_id), None)
    
    if not gpu:
        return jsonify({'error': 'GPU not found'}), 404
    
    return jsonify(gpu)

@app.route('/api/cpus')
def api_cpus():
    """获取CPU列表"""
    cpus = load_data(CPUS_FILE)
    
    keyword = request.args.get('q', '').strip().lower()
    if keyword:
        cpus = [c for c in cpus if keyword in c.get('name', '').lower() or 
                keyword in c.get('manufacturer', '').lower()]
    
    return jsonify(cpus)

@app.route('/api/cpus/<cpu_id>')
def api_cpu_detail(cpu_id):
    """获取单个CPU详情"""
    cpus = load_data(CPUS_FILE)
    cpu = next((c for c in cpus if c['id'] == cpu_id), None)
    
    if not cpu:
        return jsonify({'error': 'CPU not found'}), 404
    
    return jsonify(cpu)

@app.route('/api/search')
def api_search():
    """全局搜索"""
    keyword = request.args.get('q', '').strip().lower()
    
    if not keyword:
        return jsonify({'models': [], 'gpus': [], 'cpus': []})
    
    models = load_data(MODELS_FILE)
    gpus = load_data(GPUS_FILE)
    cpus = load_data(CPUS_FILE)
    
    result = {
        'models': [m for m in models if keyword in m.get('name', '').lower() or 
                   keyword in m.get('organization', '').lower()],
        'gpus': [g for g in gpus if keyword in g.get('name', '').lower() or 
                 keyword in g.get('manufacturer', '').lower()],
        'cpus': [c for c in cpus if keyword in c.get('name', '').lower() or 
                 keyword in c.get('manufacturer', '').lower()]
    }
    
    return jsonify(result)

@app.route('/api/calculate/vram')
def api_calculate_vram():
    """显存计算"""
    params = request.args.get('params', '7', type=float)  # 参数量(B)
    precision = request.args.get('precision', 'fp16', type=str)  # 精度
    
    # 计算公式
    # FP32: 参数 * 4字节
    # FP16: 参数 * 2字节
    # INT8: 参数 * 1字节
    # INT4: 参数 * 0.5字节
    
    bytes_per_param = {
        'fp32': 4,
        'fp16': 2,
        'int8': 1,
        'int4': 0.5
    }
    
    multiplier = bytes_per_param.get(precision, 2)
    vram_gb = params * multiplier * 1e9 / (1024**3)  # 转换为GB
    
    # 加上KV cache和激活值估算（约30%额外开销）
    total_vram = vram_gb * 1.3
    
    # 推荐GPU
    gpus = load_data(GPUS_FILE)
    suitable_gpus = [g for g in gpus if g.get('memory_gb', 0) >= total_vram]
    
    return jsonify({
        'model_vram': round(vram_gb, 2),
        'total_vram': round(total_vram, 2),
        'suitable_gpus': suitable_gpus
    })

@app.route('/api/stats')
def api_stats():
    """统计数据"""
    models = load_data(MODELS_FILE)
    gpus = load_data(GPUS_FILE)
    cpus = load_data(CPUS_FILE)
    
    return jsonify({
        'models_count': len(models),
        'gpus_count': len(gpus),
        'cpus_count': len(cpus),
        'latest_models': sorted(models, key=lambda x: x.get('created_at', ''), reverse=True)[:5]
    })

if __name__ == '__main__':
    print("=" * 50)
    print("ParamHub - 参数百科")
    print("=" * 50)
    print(f"访问地址: http://localhost:19010")
    print("=" * 50)
    
    app.run(host='0.0.0.0', port=19010, debug=True)