AcidMap/Cd_Prediction_Integrated_System/test_system.py

"""
系统测试脚本
System Test Script

用于验证Cd预测集成系统的各个模块是否正常工作
"""

import os
import sys
import logging

# 添加项目根目录到Python路径
sys.path.append(os.path.dirname(os.path.abspath(__file__)))

def test_imports():
    """测试模块导入"""
    print("🔍 测试模块导入...")
    
    try:
        import config
        print("✅ config 模块导入成功")
        
        from models.crop_cd_model.predict import CropCdPredictor
        print("✅ CropCdPredictor 导入成功")
        
        from models.effective_cd_model.predict import EffectiveCdPredictor
        print("✅ EffectiveCdPredictor 导入成功")
        
        from analysis.data_processing import DataProcessor
        print("✅ DataProcessor 导入成功")
        
        from analysis.mapping import RasterMapper
        print("✅ RasterMapper 导入成功")
        
        from analysis.visualization import Visualizer
        print("✅ Visualizer 导入成功")
        
        from utils.common import setup_logging
        print("✅ utils.common 导入成功")
        
        return True
        
    except Exception as e:
        print(f"❌ 模块导入失败: {str(e)}")
        return False

def test_file_structure():
    """测试文件结构"""
    print("\n🔍 测试文件结构...")
    
    required_files = [
        "config.py",
        "main.py",
        "models/crop_cd_model/model_files/cropCdNN.pth",
        "models/crop_cd_model/model_files/cropCd_mean.npy",
        "models/crop_cd_model/model_files/cropCd_scale.npy",
        "models/crop_cd_model/data/areatest.csv",
        "models/effective_cd_model/model_files/EffCdNN6C.pth",
        "models/effective_cd_model/model_files/EffCd_mean.npy",
        "models/effective_cd_model/model_files/EffCd_scale.npy",
        "models/effective_cd_model/data/areatest.csv",
        "data/coordinates/坐标.csv",
        "output/raster/meanTemp.tif",
        "output/raster/lechang.shp"
    ]
    
    missing_files = []
    for file_path in required_files:
        if os.path.exists(file_path):
            print(f"✅ {file_path}")
        else:
            print(f"❌ {file_path} - 文件不存在")
            missing_files.append(file_path)
    
    if missing_files:
        print(f"\n⚠️  缺少 {len(missing_files)} 个必要文件")
        return False
    else:
        print("\n✅ 所有必要文件都存在")
        return True

def test_configuration():
    """测试配置"""
    print("\n🔍 测试配置...")
    
    try:
        import config
        
        # 测试配置项
        assert hasattr(config, 'CROP_CD_MODEL'), "缺少 CROP_CD_MODEL 配置"
        assert hasattr(config, 'EFFECTIVE_CD_MODEL'), "缺少 EFFECTIVE_CD_MODEL 配置"
        assert hasattr(config, 'DATA_PATHS'), "缺少 DATA_PATHS 配置"
        assert hasattr(config, 'WORKFLOW_CONFIG'), "缺少 WORKFLOW_CONFIG 配置"
        
        print("✅ 配置项检查通过")
        
        # 创建目录
        config.ensure_directories()
        print("✅ 目录创建成功")
        
        return True
        
    except Exception as e:
        print(f"❌ 配置测试失败: {str(e)}")
        return False

def test_data_loading():
    """测试数据加载"""
    print("\n🔍 测试数据加载...")
    
    try:
        import pandas as pd
        
        # 测试坐标数据
        coord_file = "data/coordinates/坐标.csv"
        if os.path.exists(coord_file):
            coord_data = pd.read_csv(coord_file)
            print(f"✅ 坐标数据加载成功: {coord_data.shape}")
        else:
            print("❌ 坐标数据文件不存在")
            return False
        
        # 测试作物Cd模型数据
        crop_data_file = "models/crop_cd_model/data/areatest.csv"
        if os.path.exists(crop_data_file):
            crop_data = pd.read_csv(crop_data_file)
            print(f"✅ 作物Cd模型数据加载成功: {crop_data.shape}")
        else:
            print("❌ 作物Cd模型数据文件不存在")
            return False
        
        # 测试有效态Cd模型数据
        eff_data_file = "models/effective_cd_model/data/areatest.csv"
        if os.path.exists(eff_data_file):
            eff_data = pd.read_csv(eff_data_file)
            print(f"✅ 有效态Cd模型数据加载成功: {eff_data.shape}")
        else:
            print("❌ 有效态Cd模型数据文件不存在")
            return False
        
        return True
        
    except Exception as e:
        print(f"❌ 数据加载测试失败: {str(e)}")
        return False

def main():
    """主测试函数"""
    print("=" * 60)
    print("🧪 Cd预测集成系统测试")
    print("=" * 60)
    
    tests = [
        ("模块导入", test_imports),
        ("文件结构", test_file_structure),
        ("配置", test_configuration),
        ("数据加载", test_data_loading)
    ]
    
    passed = 0
    total = len(tests)
    
    for test_name, test_func in tests:
        print(f"\n{'='*20} {test_name} {'='*20}")
        if test_func():
            passed += 1
            print(f"✅ {test_name} 测试通过")
        else:
            print(f"❌ {test_name} 测试失败")
    
    print("\n" + "=" * 60)
    print(f"📊 测试结果: {passed}/{total} 通过")
    
    if passed == total:
        print("🎉 所有测试通过！系统准备就绪。")
        print("\n下一步：运行 python main.py 开始完整的预测流程")
    else:
        print("⚠️  部分测试失败，请检查上述错误信息")
        print("\n建议：")
        print("1. 确保运行了 python setup_data.py")
        print("2. 检查原始项目文件夹是否在正确位置")
        print("3. 安装必要的依赖包：pip install -r requirements.txt")
    
    print("=" * 60)

if __name__ == "__main__":
    main()