消耗太多内存

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Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
35/100
Issue type
Bug
Clarity
Needs clarification
Activity status
Stale
Tech stack
python
Domain
api

Research direction

Start by running the provided psutil reproduction on Linux with lark-oapi 1.2.8, comparing memory before and after importing lark_oapi. Trace which part of the import accounts for the increase; done means identifying and reducing the excessive import-time memory use without breaking the SDK.

Written by the indexing model from the issue text.

Description

import os


def print_memory():
    print(process_memory())


def process_memory():
    process = psutil.Process(os.getpid())
    mem_info = process.memory_info()
    return mem_info.rss // (1024 * 1024)


def main():
    print_memory()  # prints 17
    import lark_oapi

    print_memory()  # prints 116


if __name__ == "__main__":
    main()

测试平台

uname -a                              
Linux <MY_MACHINE_NAME> 6.5.0-35-generic #35~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Tue May  7 09:00:52 UTC 2 x86_64 x86_64 x86_64 GNU/Linux

lark-oapi版本：1.2.8
导入lark_oapi会占用100M内存，太多了，可以解决一下吗？

Dominant language
Python
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