镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 14:36:48 +00:00
logging -> loguru: final stage
这个提交包含在:
@@ -1,4 +1,5 @@
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from crazy_functions.ipc_fns.mp import run_in_subprocess_with_timeout
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from loguru import logger
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def force_breakdown(txt, limit, get_token_fn):
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""" 当无法用标点、空行分割时,我们用最暴力的方法切割
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@@ -76,7 +77,7 @@ def cut(limit, get_token_fn, txt_tocut, must_break_at_empty_line, break_anyway=F
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remain_txt_to_cut = post
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remain_txt_to_cut, remain_txt_to_cut_storage = maintain_storage(remain_txt_to_cut, remain_txt_to_cut_storage)
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process = fin_len/total_len
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print(f'正在文本切分 {int(process*100)}%')
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logger.info(f'正在文本切分 {int(process*100)}%')
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if len(remain_txt_to_cut.strip()) == 0:
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break
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return res
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@@ -119,7 +120,7 @@ if __name__ == '__main__':
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for i in range(5):
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file_content += file_content
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print(len(file_content))
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logger.info(len(file_content))
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TOKEN_LIMIT_PER_FRAGMENT = 2500
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res = breakdown_text_to_satisfy_token_limit(file_content, TOKEN_LIMIT_PER_FRAGMENT)
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