一：表格过度配置，表格资源是否在工程中存在，并输出不存在的资源
import pandas as pd
import glob
import osassets = []
count = 0
for file_path in glob.glob('configs/*.xlsx'):count += 1try:sheets = pd.read_excel(file_path, sheet_name=None)except Exception as e:print(f"读取文件 {file_path} 时出错：{e}")continuefor sheet_name, df in sheets.items():print('正在读取文件:', file_path, 'sheet:', sheet_name)all_values = df.values.ravel()for value in all_values:if isinstance(value, str) and value.startswith('Assets/'):assets.append(value)
output_path = "output.xlsx"
if os.path.exists(output_path):os.remove(output_path)if assets:df_output = pd.DataFrame(assets, columns=["Asset Path"])df_output.to_excel(output_path, index=False)print(f"\n结果已写入 {output_path}")
else:print("\n未找到以'Assets/'开头的内容")
not_exist_assets = []
for asset_path in assets:full_path = os.path.join('../MainProject', asset_path)if not os.path.exists(full_path):not_exist_assets.append(asset_path)not_exist_output = "FileNotExist.xlsx"
if not_exist_assets:if os.path.exists(not_exist_output):os.remove(not_exist_output)df_not_exist = pd.DataFrame(not_exist_assets, columns=["Asset Path"])df_not_exist.to_excel(not_exist_output, index=False)print(f"\n以下资源文件不存在，已写入 {not_exist_output}：")for path in not_exist_assets:print(path)
else:print("\n所有资源文件均存在。")
print("\n匹配的内容列表：")
for item in assets:print(item)print("\n一共读取了", count, "个文件，匹配到", len(assets), "条有效数据")
二：收集打包目录
import os
file_paths = [r'..\MainProject\Assets\Build\AssetBundle\AssetBundleConfig.asset',r'..\MainProject\Assets\Build\AssetBundle\SegmentedUpdateConfig.asset'
]
keys = [] for file_path in file_paths:try:with open(file_path, 'r', encoding='utf-8') as file:print(f"\n{'='*50}")print(f"正在读取文件：{os.path.abspath(file_path)}")print("-" * 50)file_keys = [] for line_number, line in enumerate(file, 1):formatted_line = line.strip()if "Assets/" in formatted_line:cleaned_key = formatted_line.replace("- ", "")file_keys.append(cleaned_key)print(f"[Line {line_number:03d}] 发现有效键 | 原始内容：{formatted_line} | 处理后：{cleaned_key}")else:print(f"[Line {line_number:03d}] {formatted_line}")keys.extend(file_keys)print(f"\n当前文件提取到 {len(file_keys)} 个有效键")except FileNotFoundError:print(f"错误：文件不存在 {os.path.abspath(file_path)}")except PermissionError:print(f"错误：没有权限读取文件 {file_path}")except UnicodeDecodeError:print(f"错误：文件编码格式不支持，尝试使用其他编码（如utf-16）")except Exception as e:print(f"发生未知错误：{str(e)}")else:print("-" * 50)print(f"文件 {os.path.basename(file_path)} 处理完成")print("\n" + "="*50)
print(f"共处理 {len(file_paths)} 个文件，总计提取到 {len(keys)} 个有效键：")
for i, key in enumerate(keys, 1):print(f"{i:03d}. {key}")
三：是否进包，资源是否存在打包目录
import pandas as pd
import glob
import os
from datetime import datetimedef clean_old_files():"""清理历史文件"""target_files = ['keys.txt', '异常资源报告.xlsx']for file in target_files:try:os.remove(file)print(f" ▹ 已删除旧文件：{file}")except FileNotFoundError:pass except Exception as e:print(f"‼️ 文件删除异常：{file}")print(f"错误详情：{str(e)}")def collect_assets():"""从Excel文件收集资源路径"""assets = []file_count = 0print(f"\n{'='*50}")print("开始扫描Excel配置文件")print(f"扫描时间：{datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")for file_path in glob.glob('configs/*.xlsx'):file_count += 1try:sheets = pd.read_excel(file_path, sheet_name=None)filename = os.path.basename(file_path)print(f"\n▸ 正在处理：{filename}")for sheet_name, df in sheets.items():print(f" ├─ 工作表：{sheet_name}")all_values = df.values.ravel()for value in all_values:if isinstance(value, str) and value.startswith('Assets/'):assets.append({'file': filename,'sheet': sheet_name,'path': value})except Exception as e:print(f"\n‼️ 文件处理异常：{file_path}")print(f"错误详情：{str(e)}")print(f"\n{'='*50}")print(f"扫描完成 | 处理文件：{file_count} 个 | 发现路径：{len(assets)} 条")return assetsdef extract_keys(file_paths):"""提取并保存去重键值"""keys = []print(f"\n{'='*50}")print("开始解析关键键值")for path in file_paths:if path.endswith('.xlsx'):print(f"\n▸ 解析Excel文件：{os.path.basename(path)}")try:df = pd.read_excel(path)excel_keys = df.iloc[:, 0].astype(str).dropna().tolist()keys.extend(excel_keys)print(f" ├─ 提取到 {len(excel_keys)} 条键值")for key in excel_keys[:3]: print(f" │ 示例：{key[:60]}...")except Exception as e:print(f"\n‼️ Excel文件读取失败：{path}")print(f"错误详情：{str(e)}")elif path.endswith('.asset'):print(f"\n▸ 解析配置文件：{os.path.basename(path)}")try:with open(path, 'r', encoding='utf-8') as f:line_count = 0for line in f:line_count += 1clean_line = line.strip().replace("- ", "")if "Assets/" in clean_line:keys.append(clean_line)print(f" ├─ [L{line_count:03d}] 发现键值：{clean_line[:40]}...")except Exception as e:print(f"\n‼️ 文件读取失败：{path}")print(f"错误详情：{str(e)}")keys = list(set(keys))with open('keys.txt', 'w', encoding='utf-8') as f:f.write('\n'.join(keys))print(f"\n{'='*50}")print(f"解析完成 | 去重键值：{len(keys)} 条")print(f" ▹ 键值文件已保存：{os.path.abspath('keys.txt')}")return keysdef validate_assets(assets, keys):"""执行路径校验"""errors = []print(f"\n{'='*50}")print("开始校验路径完整性")print("\n校验进度：")for idx, asset in enumerate(assets, 1):if not any(key in asset['path'] for key in keys):errors.append({'file': asset['file'],'sheet': asset['sheet'],'path': asset['path']})print(f" ▹ 已校验 {idx}/{len(assets)} 条路径", end='\r')print(f"\n\n{'='*50}")if errors:print(f"❌ 发现 {len(errors)} 条异常路径：")for i, err in enumerate(errors[:5], 1):print(f" {i:02d}. 文件：{err['file']} | 工作表：{err['sheet']}\n 路径：{err['path']}")if len(errors) > 5:print(f" ...（仅显示前5条，共{len(errors)}条）")else:print("✅ 所有路径均包含有效键值")return errorsdef main():print(f"\n{'='*50}")print("开始清理历史文件")clean_old_files()asset_files = [r'..\MainProject\Assets\Build\AssetBundle\AssetBundleConfig.asset',r'..\MainProject\Assets\Build\AssetBundle\SegmentedUpdateConfig.asset','代码路径.xlsx']assets = collect_assets()keys = extract_keys(asset_files)errors = validate_assets(assets, keys)if errors:report_data = []for err in errors:report_data.append({'来源文件': err['file'],'工作表': err['sheet'],'资源路径': err['path'],'校验结果': 'Invalid'})report_df = pd.DataFrame(report_data)report_path = "异常资源报告.xlsx"report_df.to_excel(report_path, index=False)print(f"\n📊 异常报告已生成：{os.path.abspath(report_path)}")if __name__ == "__main__":main()
引用、内联函数、nullptr宏)
