128 lines
3.7 KiB
Python
128 lines
3.7 KiB
Python
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#!/usr/bin/env python
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"""
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测试修复后的训练系统
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"""
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import sys
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import os
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import time
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sys.path.append('server')
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def test_transformer_training():
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"""测试Transformer训练器的集成"""
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print("=== 测试Transformer训练器集成 ===")
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try:
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from core.predictor import PharmacyPredictor
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print("创建预测器...")
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predictor = PharmacyPredictor()
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print("开始Transformer训练测试（3轮次）...")
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start_time = time.time()
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metrics = predictor.train_model(
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product_id='P001',
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model_type='transformer',
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epochs=3, # 短期测试
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training_mode='product'
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)
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end_time = time.time()
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if metrics:
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print("✅ 训练成功完成！")
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print(f"训练时间: {end_time - start_time:.2f}秒")
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print("训练指标:")
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for key, value in metrics.items():
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print(f" {key}: {value}")
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return True
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else:
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print("❌ 训练返回None")
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return False
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except Exception as e:
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if "数据不足" in str(e):
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print("ℹ️ 数据不足错误（这是预期的）")
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return True
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else:
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print(f"❌ 训练失败: {e}")
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import traceback
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traceback.print_exc()
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return False
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def test_progress_output():
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"""测试进度输出"""
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print("\n=== 测试进度输出 ===")
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try:
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# 模拟训练器调用
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from trainers.transformer_trainer import train_product_model_with_transformer
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print("直接调用transformer训练器...")
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try:
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_, metrics, version = train_product_model_with_transformer(
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product_id='P001',
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epochs=2,
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socketio=None, # 没有WebSocket，但应该有控制台输出
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task_id='test_task'
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)
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print("✅ 训练器调用成功")
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print(f"版本: {version}")
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print("指标:")
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for key, value in metrics.items():
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print(f" {key}: {value}")
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return True
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except Exception as e:
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if "数据不足" in str(e):
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print("ℹ️ 数据不足错误（预期）")
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return True
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else:
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print(f"❌ 训练器调用失败: {e}")
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return False
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except Exception as e:
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print(f"❌ 测试失败: {e}")
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import traceback
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traceback.print_exc()
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return False
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def main():
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"""主测试函数"""
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print("开始测试修复后的训练系统")
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tests_passed = 0
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total_tests = 2
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# 测试Transformer训练集成
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if test_transformer_training():
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tests_passed += 1
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# 测试进度输出
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if test_progress_output():
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tests_passed += 1
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print(f"\n=== 测试结果 ===")
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print(f"通过测试: {tests_passed}/{total_tests}")
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if tests_passed == total_tests:
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print("\n🎉 修复成功！")
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print("\n✨ 现在的功能:")
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print(" • 控制台会显示详细的训练进度")
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print(" • 返回完整的训练指标")
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print(" • 支持WebSocket实时进度推送")
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print(" • 集成了统一的进度管理器")
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print("\n🚀 测试建议:")
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print(" 1. 启动API服务器")
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print(" 2. 在前端开始训练")
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print(" 3. 观察服务器控制台输出")
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print(" 4. 查看前端实时进度显示")
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else:
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print("\n⚠️ 部分测试失败，需要进一步调试")
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if __name__ == "__main__":
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main()
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