添加用于实用方法的实用类,包括文件大小格式化和缓存机制。更新主函数以利用新功能,并打印带有执行时间的文件列表。
This commit is contained in:
180
_utils.py
180
_utils.py
@@ -1,5 +1,185 @@
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import time
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import asyncio
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from functools import wraps
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from typing import Any, Dict
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from rich.console import Console
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from rich.table import Table
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from cachetools import cached, TTLCache
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class Utils:
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def __init__(self):
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self.console = Console()
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self.files_cache = TTLCache(maxsize=1000, ttl=600) # 10分钟
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def format_file_size(self, size_bytes: int, decimal_places: int = 1) -> str:
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"""
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格式化文件大小显示
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Args:
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size_bytes: 文件大小(字节)
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decimal_places: 小数位数,默认1位,可选1或2位
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Returns:
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格式化后的文件大小字符串,如 "1.2 KB", "1.23 MB"
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"""
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if size_bytes == 0:
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return "0 B"
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# 定义单位
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units = ['B', 'KB', 'MB', 'GB', 'TB', 'PB']
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unit_index = 0
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# 计算合适的单位
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size = float(size_bytes)
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while size >= 1024.0 and unit_index < len(units) - 1:
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size /= 1024.0
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unit_index += 1
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# 格式化显示
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if unit_index == 0: # B单位,不显示小数
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return f"{int(size)} {units[unit_index]}"
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else:
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# 确保小数位数不超过2位
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decimal_places = min(decimal_places, 2)
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format_str = f"{{:.{decimal_places}f}} {units[unit_index]}"
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return format_str.format(size)
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def print_file_list(self, files):
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"""
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打印文件列表
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Args:
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files: 文件列表
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"""
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table = Table(title="文件列表")
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table.add_column("类型", style="cyan", width=10)
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table.add_column("名称", style="magenta")
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table.add_column("大小", style="green", width=15)
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table.add_column("修改时间", style="yellow", width=20)
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for file in files:
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type = self.print_file_type(file)
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name = file['filename']
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size = self.format_file_size(file.get('size', 0))
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modified = file.get('updateAt', '')
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table.add_row(type, name, size, modified)
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self.console.print(table)
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def print_file_type(self, file: Dict[str, Any]) -> str:
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"""
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格式化文件类型显示
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Args:
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file: 文件信息字典
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Returns:
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格式化后的文件类型字符串,如 "文件夹", "音频", "视频", "图片", "未知"
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"""
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if file['type'] == 1:
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return "文件夹"
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else:
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if file['category'] == 1:
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return "音频"
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elif file['category'] == 2:
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return "视频"
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elif file['category'] == 3:
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return "图片"
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else:
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return "未知"
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def computing_page(self, page: int, limit: int) -> list:
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"""
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计算分页信息
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Args:
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page: 当前页码
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limit: 每页显示数量
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Returns:
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包含所有分页的列表,如 [1, 2, 3]
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"""
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pages = []
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for i in range(page * limit - limit, page * limit, 100):
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page_i = i // 100 + 1
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pages.append(page_i)
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return pages
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def merge_files(self, files_list: list[Dict[str, Any]]) -> Dict[str, Any]:
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"""
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合并文件列表
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Args:
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files_list: 文件列表响应json数据列表
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Returns:
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合并后的文件列表响应json数据
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"""
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merged_files = {
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'code': 0,
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'message': 'ok',
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'data': {'lastFileId': 0,'fileList': []},
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'x-traceID': ''
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}
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for files in files_list:
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merged_files['code'] = files['code']
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merged_files['message'] = files['message']
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merged_files['data']['lastFileId'] = files['data']['lastFileId']
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merged_files['data']['fileList'] += files['data']['fileList']
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merged_files['x-traceID'] = files['x-traceID']
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return merged_files
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def cache_files(self, files: Dict[str, Any], parentFileId: int, page: int = 1):
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"""
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缓存文件列表
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Args:
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files: 文件列表
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parentFileId: 父目录ID
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page: 页码
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"""
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cache_key = f"files:{parentFileId}:{page}"
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self.files_cache[cache_key] = {
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'files': files,
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'timestamp': time.time()
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}
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def get_cached_files(self, parentFileId: int, page: int = 1) -> Dict[str, Any]:
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"""获取缓存的文件列表"""
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cache_key = f"files:{parentFileId}:{page}"
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if self.files_cache.get(cache_key):
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return self.files_cache[cache_key]['files']
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else:
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return {}
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def cache_limit(self, maxsize=1000, ttl=300):
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"""
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设置缓存文件大小限制
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Args:
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maxsize: 缓存文件大小限制
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ttl: 缓存过期时间
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"""
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self.files_cache = TTLCache(maxsize=maxsize, ttl=ttl)
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def computing_time(self, start_time: float) -> str:
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"""
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计算耗时
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Args:
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start_time: 开始时间
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Returns:
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格式化后的耗时字符串,如 "0.123 s"
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"""
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end_time = time.time()
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elapsed_time = end_time - start_time
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return f"{elapsed_time:.3f} s"
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def async_to_sync(func):
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