270 lines
7.3 KiB
Python
270 lines
7.3 KiB
Python
"""
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ParamHub - 参数百科
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AI大模型与硬件参数速查平台
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"""
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from flask import Flask, render_template, jsonify, request
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from flask_cors import CORS
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import json
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from pathlib import Path
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from datetime import datetime
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app = Flask(__name__, static_folder='static', static_url_path='/static')
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CORS(app)
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# 数据目录
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DATA_DIR = Path(__file__).parent / 'data'
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DATA_DIR.mkdir(exist_ok=True)
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# 数据文件
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MODELS_FILE = DATA_DIR / 'models.json'
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GPUS_FILE = DATA_DIR / 'gpus.json'
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CPUS_FILE = DATA_DIR / 'cpus.json'
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def load_data(file_path):
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"""加载JSON数据"""
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if file_path.exists():
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return json.loads(file_path.read_text(encoding='utf-8'))
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return []
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def save_data(file_path, data):
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"""保存JSON数据"""
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file_path.write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding='utf-8')
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# ============ 页面路由 ============
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@app.route('/')
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def index():
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"""首页"""
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return render_template('index.html')
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@app.route('/models')
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def models_page():
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"""模型数据库页面"""
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return render_template('models.html')
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@app.route('/gpus')
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def gpus_page():
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"""GPU数据库页面"""
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return render_template('gpus.html')
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@app.route('/cpus')
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def cpus_page():
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"""CPU数据库页面"""
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return render_template('cpus.html')
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@app.route('/tools')
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def tools_page():
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"""工具页面"""
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return render_template('tools.html')
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@app.route('/compare')
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def compare_page():
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"""对比页面"""
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return render_template('compare.html')
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@app.route('/knowledge')
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def knowledge_page():
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"""知识库页面"""
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return render_template('knowledge.html')
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# ============ API路由 ============
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@app.route('/api/models')
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def api_models():
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"""获取模型列表"""
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models = load_data(MODELS_FILE)
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# 搜索过滤
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keyword = request.args.get('q', '').strip().lower()
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if keyword:
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models = [m for m in models if keyword in m.get('name', '').lower() or
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keyword in m.get('organization', '').lower()]
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# 排序
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sort_by = request.args.get('sort', 'name')
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reverse = request.args.get('order', 'asc') == 'desc'
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if sort_by in ['name', 'parameters', 'context_length', 'mmlu']:
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models = sorted(models, key=lambda x: x.get(sort_by, 0) or 0, reverse=reverse)
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return jsonify(models)
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@app.route('/api/models/<model_id>')
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def api_model_detail(model_id):
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"""获取单个模型详情"""
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models = load_data(MODELS_FILE)
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model = next((m for m in models if m['id'] == model_id), None)
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if not model:
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return jsonify({'error': 'Model not found'}), 404
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return jsonify(model)
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@app.route('/api/models', methods=['POST'])
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def api_create_model():
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"""创建新模型"""
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data = request.get_json()
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models = load_data(MODELS_FILE)
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# 生成ID
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import uuid
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data['id'] = uuid.uuid4().hex[:12]
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data['created_at'] = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
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models.append(data)
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save_data(MODELS_FILE, models)
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return jsonify(data)
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@app.route('/api/models/<model_id>', methods=['PUT'])
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def api_update_model(model_id):
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"""更新模型"""
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data = request.get_json()
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models = load_data(MODELS_FILE)
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model = next((m for m in models if m['id'] == model_id), None)
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if not model:
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return jsonify({'error': 'Model not found'}), 404
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model.update(data)
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model['updated_at'] = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
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save_data(MODELS_FILE, models)
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return jsonify(model)
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@app.route('/api/models/<model_id>', methods=['DELETE'])
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def api_delete_model(model_id):
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"""删除模型"""
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models = load_data(MODELS_FILE)
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models = [m for m in models if m['id'] != model_id]
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save_data(MODELS_FILE, models)
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return jsonify({'success': True})
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@app.route('/api/gpus')
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def api_gpus():
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"""获取GPU列表"""
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gpus = load_data(GPUS_FILE)
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keyword = request.args.get('q', '').strip().lower()
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if keyword:
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gpus = [g for g in gpus if keyword in g.get('name', '').lower() or
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keyword in g.get('manufacturer', '').lower()]
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return jsonify(gpus)
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@app.route('/api/gpus/<gpu_id>')
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def api_gpu_detail(gpu_id):
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"""获取单个GPU详情"""
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gpus = load_data(GPUS_FILE)
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gpu = next((g for g in gpus if g['id'] == gpu_id), None)
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if not gpu:
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return jsonify({'error': 'GPU not found'}), 404
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return jsonify(gpu)
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@app.route('/api/cpus')
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def api_cpus():
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"""获取CPU列表"""
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cpus = load_data(CPUS_FILE)
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keyword = request.args.get('q', '').strip().lower()
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if keyword:
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cpus = [c for c in cpus if keyword in c.get('name', '').lower() or
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keyword in c.get('manufacturer', '').lower()]
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return jsonify(cpus)
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@app.route('/api/cpus/<cpu_id>')
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def api_cpu_detail(cpu_id):
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"""获取单个CPU详情"""
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cpus = load_data(CPUS_FILE)
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cpu = next((c for c in cpus if c['id'] == cpu_id), None)
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if not cpu:
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return jsonify({'error': 'CPU not found'}), 404
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return jsonify(cpu)
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@app.route('/api/search')
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def api_search():
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"""全局搜索"""
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keyword = request.args.get('q', '').strip().lower()
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if not keyword:
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return jsonify({'models': [], 'gpus': [], 'cpus': []})
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models = load_data(MODELS_FILE)
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gpus = load_data(GPUS_FILE)
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cpus = load_data(CPUS_FILE)
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result = {
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'models': [m for m in models if keyword in m.get('name', '').lower() or
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keyword in m.get('organization', '').lower()],
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'gpus': [g for g in gpus if keyword in g.get('name', '').lower() or
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keyword in g.get('manufacturer', '').lower()],
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'cpus': [c for c in cpus if keyword in c.get('name', '').lower() or
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keyword in c.get('manufacturer', '').lower()]
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}
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return jsonify(result)
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@app.route('/api/calculate/vram')
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def api_calculate_vram():
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"""显存计算"""
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params = request.args.get('params', '7', type=float) # 参数量(B)
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precision = request.args.get('precision', 'fp16', type=str) # 精度
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# 计算公式
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# FP32: 参数 * 4字节
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# FP16: 参数 * 2字节
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# INT8: 参数 * 1字节
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# INT4: 参数 * 0.5字节
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bytes_per_param = {
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'fp32': 4,
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'fp16': 2,
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'int8': 1,
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'int4': 0.5
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}
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multiplier = bytes_per_param.get(precision, 2)
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vram_gb = params * multiplier * 1e9 / (1024**3) # 转换为GB
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# 加上KV cache和激活值估算（约30%额外开销）
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total_vram = vram_gb * 1.3
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# 推荐GPU
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gpus = load_data(GPUS_FILE)
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suitable_gpus = [g for g in gpus if g.get('memory_gb', 0) >= total_vram]
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return jsonify({
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'model_vram': round(vram_gb, 2),
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'total_vram': round(total_vram, 2),
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'suitable_gpus': suitable_gpus
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})
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@app.route('/api/stats')
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def api_stats():
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"""统计数据"""
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models = load_data(MODELS_FILE)
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gpus = load_data(GPUS_FILE)
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cpus = load_data(CPUS_FILE)
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return jsonify({
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'models_count': len(models),
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'gpus_count': len(gpus),
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'cpus_count': len(cpus),
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'latest_models': sorted(models, key=lambda x: x.get('created_at', ''), reverse=True)[:5]
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})
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if __name__ == '__main__':
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print("=" * 50)
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print("ParamHub - 参数百科")
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print("=" * 50)
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print(f"访问地址: http://localhost:19010")
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print("=" * 50)
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app.run(host='0.0.0.0', port=19010, debug=True) |