如何在Python中读取压缩文件并将其写入另一个文件？

我有多个拉链都包含一个文件。这些ZIP中的文件是csv文件，包含分配的记录。这是文件外观的一个示例：

2020-01-01-14:00:00,TM1,TM2,TM3,TM4,TM5,Name2,Name5,Name6,Name7
2020-01-01-14:00:00,TM1,TM2,TM3,TM4,TM5,Name2,Name5
2020-01-01-14:00:00,TM1,TM2,TM3,AGE,TM5, Name1,Name2,Name3,Name4,Name5,Name6
2020-01-01-14:00:00,TM1,TM2,TM3,AGE,TM5,Name2,Name3,Name4,Name5,Name6
2020-01-01-14:00:00,TM1,TM2,TM3,TM4,TM5,Name2,Name5
2020-01-01-14:00:00,TM1,TM2,TM3,AGE,TM5,Name2,Name3,Name4,Name5,Name6,Name7

我试图在zip中读取这些文件（不提取它们），并根据某些条件将每个文件的行写入一个新文件

这就是条件。只有当这两个条件都为真时，我才会将该行读入一个新文件

行必须至少包含以下单词之一（'Name1、Name2、Name3'）

行中的第五个单词必须是“年龄”

这是我的代码：

import zipfile
import os
import pandas as pd
import csv

root = r'c:\data\FF\Desktop\archive\archive.zip'
destination = r'c:\data\FF\Desktop\archive'

with zipfile.ZipFile(root, 'r') as my_zip:
    my_zip.extractall(destination)   #<----unzipping the file because I dont know how to read it directly :(
   
 
search_age = 'AGE'   
search_names = ['Name1','Name2', 'Name3']
 
for file in os.listdir(destination):
    if file.endswith('.txt'):   #<--- reading the unzipped file only.
        with open(file, 'r') as my_file:
            reader = csv.reader(my_file)
            for row in reader:
                if search_age == row[4] and x for x in search_names in row: #<-- check for AGE and for 'Name1, Name2 or Name3'
                    with open('new_file.txt', 'w') as new_file:
                        for row in reader:
                            new_file.write(row) #<--- write the found lines to a new file.
                    

谁能告诉我怎么解决这个问题？多谢各位

2020-01-01-14:00:00,TM1,TM2,TM3,AGE,TM5, Name1,Name2,Name3,Name4,Name5,Name6
2020-01-01-14:00:00,TM1,TM2,TM3,AGE,TM5,Name2,Name3,Name4,Name5,Name6
2020-01-01-14:00:00,TM1,TM2,TM3,AGE,TM5,Name2,Name3,Name4,Name5,Name6,Name7