我有一段话记录了客户和客户服务代理之间的对话。我如何将对话分开并创建两个列表(或字典等任何其他格式(，其中一个只包含客户的文本，另一个只包括代理商的文本？
示例段落：
代理名称：你好！我叫X。今天我能帮你什么忙？(4米46秒(客户：我叫Y。这是我的问题(4米57秒(代理商名称：这是解决方案(5米40秒(代理商姓名：你在吗？(6米30秒(顾客：是的，我还在这里。我还是不明白。。。(6米40秒(代理人姓名：好的。让我们换一种方式。(600米50秒(代理人姓名：这能解决问题吗？(700米40秒(代理商名称：感谢您联系客服。
预期输出：
仅包含代理人文本的列表：[‘代理人姓名：你好！我叫X。今天我能帮你什么？(4m46s(’，‘代理人名称：你在吗？(6m30s
仅包含客户文本的列表：["客户：我叫Y。这是我的问题(4米57秒("，"客户：是的，我还在这里。我仍然不明白……(6米40秒("]。
谢谢！
给定：
txt='''
Agent Name: Hello! My name is X. How can I help you today? ( 4m 46s ) Customer: My name is Y. Here is my issue ( 4m 57s ) Agent Name: Here's the solution ( 5m 40s ) Agent Name: Are you there? ( 6m 30s ) Customer: Yes I'm still here. I still don't understand... ( 6m 40s ) Agent Name: Ok. Let's try another way. ( 6m 50s ) Agent Name: Does that solve the problem? (7m 40s) Agent Name: Thank you for contacting the customer service.'''
您可以使用re.findall:
s1='Agent Name:'
s2='Customer:'
>>> re.findall(rf'({s1}.*?(?={s2}|Z))', txt)
['Agent Name: Hello! My name is X. How can I help you today? ( 4m 46s ) ', "Agent Name: Here's the solution ( 5m 40s ) Agent Name: Are you there? ( 6m 30s ) ", "Agent Name: Ok. Let's try another way. ( 6m 50s ) Agent Name: Does that solve the problem? (7m 40s) Agent Name: Thank you for contacting the customer service."]
>>> re.findall(rf'({s2}.*?(?={s1}|Z))', txt)
['Customer: My name is Y. Here is my issue ( 4m 57s ) ', "Customer: Yes I'm still here. I still don't understand... ( 6m 40s ) "]