如何比较两个zip文件中的文件是否完全相同?

如何解决如何比较两个zip文件中的文件是否完全相同?

我有两个 zip 文件。我想看看所有内容(文件名和 zip 中每个文件的内容)是否相同。

有一个 similar question。但答案不支持 zip 文件。

有人有好主意吗?

解决方法

即使您压缩相同的项目,似乎 zip 也会有不同的哈希值。我们可以把它分成两部分:一是解压,二是解压后比较文件夹。

import os
import filecmp
import zipfile

def are_dir_trees_equal(dir1,dir2):

    dirs_cmp = filecmp.dircmp(dir1,dir2)
    if len(dirs_cmp.left_only)>0 or len(dirs_cmp.right_only)>0 or \
       len(dirs_cmp.funny_files)>0:
       return False
    (_,mismatch,errors) =  filecmp.cmpfiles(
        dir1,dir2,dirs_cmp.common_files,shallow=False)
    if len(mismatch)>0 or len(errors)>0:
        return False
    for common_dir in dirs_cmp.common_dirs:
        new_dir1 = os.path.join(dir1,common_dir)
        new_dir2 = os.path.join(dir2,common_dir)
        if not are_dir_trees_equal(new_dir1,new_dir2):
           return False
    return True


BASE_PATH = '/Users/Documents/'
model1 = os.path.join(BASE_PATH,'test1.zip')
model2 = os.path.join(BASE_PATH,'test2.zip')

with zipfile.ZipFile(model1,"r") as zip_ref:
    zip_ref.extractall(BASE_PATH)
with zipfile.ZipFile(model2,"r") as zip_ref:
    zip_ref.extractall(BASE_PATH)

folder1 = model1.split('.')[0]
folder2 = model2.split('.')[0]

is_equal = are_dir_trees_equal(folder1,folder2)
print(is_equal)
,

我尝试在 python 中使用 zipfile 内置模块。

from zipfile import ZipFile

def compare(file1,file2):
    try:
        with ZipFile(file1,'r') as file:
            f1 = str([x for x in file.infolist()])
        with ZipFile(file2,'r') as file:
            f2 = str([x for x in file.infolist()])
        return f1 == f2
    except FileNotFoundError:
        return f"Either file at {file1} or {file2} does not exist"


f = compare(file1='storage/1.zip',file2='storage/2.zip')
print(f)

我不知道这是不是正确的方法(如果不是请纠正我)

,

这是我的尝试。确保 ZipFiles 包含相同的项目并且这些项目具有匹配的 CRC32 可能就足够了。 (被比较的两个 ZipFiles 具有相同名称和相同 CRC32 但它们是不同文件的可能性有多大?)如果足够好,请省略比较文件内容的循环。

from zipfile import ZipFile

BUFSIZE = 1024

def are_equivalent(filename1,filename2):
    """Compare two ZipFiles to see if they would expand into the same directory structure
    without actually extracting the files.
    """
    
    with ZipFile(filename1,'r') as zip1,ZipFile(filename2,'r') as zip2:
        
        # Index items in the ZipFiles by filename. For duplicate filenames,a later
        # item in the ZipFile will overwrite an ealier item; just like a later file
        # will overwrite an earlier file with the same name when extracting.
        zipinfo1 = {info.filename:info for info in zip1.infolist()}
        zipinfo2 = {info.filename:info for info in zip2.infolist()}
        
        # Do some simple checks first
        # Do the ZipFiles contain the same the files?
        if zipinfo1.keys() != zipinfo2.keys():
            return False
        
        # Do the files in the archives have the same CRCs? (This is a 32-bit CRC of the
        # uncompressed item. Is that good enough to confirm the files are the same?)
        if any(zipinfo1[name].CRC != zipinfo2[name].CRC for name in zipinfo1.keys()):
            return False
        
        # Skip/omit this loop if matching names and CRCs is good enough.
        # Open the corresponding files and compare them.
        for name in zipinfo1.keys():
            
            # 'ZipFile.open()' returns a ZipExtFile instance,which has a 'read()' method
            # that accepts a max number of bytes to read. In contrast,'ZipFile.read()' reads
            # all the bytes at once.
            with zip1.open(zipinfo1[name]) as file1,zip2.open(zipinfo2[name]) as file2:
                
                while True:
                    buffer1 = file1.read(BUFSIZE)
                    buffer2 = file2.read(BUFSIZE)
                    
                    if buffer1 != buffer2:
                        return False
                    
                    if not buffer1:
                        break
                        
        return True

版权声明:本文内容由互联网用户自发贡献,该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容, 请发送邮件至 dio@foxmail.com 举报,一经查实,本站将立刻删除。

相关推荐


使用本地python环境可以成功执行 import pandas as pd import matplotlib.pyplot as plt # 设置字体 plt.rcParams['font.sans-serif'] = ['SimHei'] # 能正确显示负号 p
错误1:Request method ‘DELETE‘ not supported 错误还原:controller层有一个接口,访问该接口时报错:Request method ‘DELETE‘ not supported 错误原因:没有接收到前端传入的参数,修改为如下 参考 错误2:cannot r
错误1:启动docker镜像时报错:Error response from daemon: driver failed programming external connectivity on endpoint quirky_allen 解决方法:重启docker -> systemctl r
错误1:private field ‘xxx‘ is never assigned 按Altʾnter快捷键,选择第2项 参考:https://blog.csdn.net/shi_hong_fei_hei/article/details/88814070 错误2:启动时报错,不能找到主启动类 #
报错如下,通过源不能下载,最后警告pip需升级版本 Requirement already satisfied: pip in c:\users\ychen\appdata\local\programs\python\python310\lib\site-packages (22.0.4) Coll
错误1:maven打包报错 错误还原:使用maven打包项目时报错如下 [ERROR] Failed to execute goal org.apache.maven.plugins:maven-resources-plugin:3.2.0:resources (default-resources)
错误1:服务调用时报错 服务消费者模块assess通过openFeign调用服务提供者模块hires 如下为服务提供者模块hires的控制层接口 @RestController @RequestMapping("/hires") public class FeignControl
错误1:运行项目后报如下错误 解决方案 报错2:Failed to execute goal org.apache.maven.plugins:maven-compiler-plugin:3.8.1:compile (default-compile) on project sb 解决方案:在pom.
参考 错误原因 过滤器或拦截器在生效时,redisTemplate还没有注入 解决方案:在注入容器时就生效 @Component //项目运行时就注入Spring容器 public class RedisBean { @Resource private RedisTemplate<String
使用vite构建项目报错 C:\Users\ychen\work>npm init @vitejs/app @vitejs/create-app is deprecated, use npm init vite instead C:\Users\ychen\AppData\Local\npm-
参考1 参考2 解决方案 # 点击安装源 协议选择 http:// 路径填写 mirrors.aliyun.com/centos/8.3.2011/BaseOS/x86_64/os URL类型 软件库URL 其他路径 # 版本 7 mirrors.aliyun.com/centos/7/os/x86
报错1 [root@slave1 data_mocker]# kafka-console-consumer.sh --bootstrap-server slave1:9092 --topic topic_db [2023-12-19 18:31:12,770] WARN [Consumer clie
错误1 # 重写数据 hive (edu)> insert overwrite table dwd_trade_cart_add_inc > select data.id, > data.user_id, > data.course_id, > date_format(
错误1 hive (edu)> insert into huanhuan values(1,'haoge'); Query ID = root_20240110071417_fe1517ad-3607-41f4-bdcf-d00b98ac443e Total jobs = 1
报错1:执行到如下就不执行了,没有显示Successfully registered new MBean. [root@slave1 bin]# /usr/local/software/flume-1.9.0/bin/flume-ng agent -n a1 -c /usr/local/softwa
虚拟及没有启动任何服务器查看jps会显示jps,如果没有显示任何东西 [root@slave2 ~]# jps 9647 Jps 解决方案 # 进入/tmp查看 [root@slave1 dfs]# cd /tmp [root@slave1 tmp]# ll 总用量 48 drwxr-xr-x. 2
报错1 hive> show databases; OK Failed with exception java.io.IOException:java.lang.RuntimeException: Error in configuring object Time taken: 0.474 se
报错1 [root@localhost ~]# vim -bash: vim: 未找到命令 安装vim yum -y install vim* # 查看是否安装成功 [root@hadoop01 hadoop]# rpm -qa |grep vim vim-X11-7.4.629-8.el7_9.x
修改hadoop配置 vi /usr/local/software/hadoop-2.9.2/etc/hadoop/yarn-site.xml # 添加如下 <configuration> <property> <name>yarn.nodemanager.res