python – 正则表达式消除bibtex文件中的字段

2024年1月23日 161次阅读

我试图减少从我的参考管理器获取的bib文本文件,因为它留下了额外的字段,当我把它放入LaTeX时最终会被破坏.

我要清理的一个特色条目是：

@Article{Kholmurodov:2001p113,
author = {K Kholmurodov and I Puzynin and W Smith and K Yasuoka and T Ebisuzaki}, 
journal = {Computer Physics Communications},
title = {MD simulation of cluster-surface impacts for metallic phases: soft landing, droplet spreading and implantation},
abstract = {Lots of text here.  Even more text.},
affiliation = {RIKEN, Inst Phys {\&} Chem Res, Computat Sci Div, Adv Comp Ctr, Wako, Saitama 3510198, Japan},
number = {1},
pages = {1--16},
volume = {141},
year = {2001},
month = {Dec},
language = {English},
keywords = {Ethane, molecular dynamics, Clusters, Dl_Poly Code, solid surface, metal, Hydrocarbon Thin-Films, Adsorption, impact, Impact Processes, solid surface, Molecular Dynamics Simulation, Large Systems, DL_POLY, Beam Deposition, Package, Collision-Induced Desorption, Diamond Films, Vapor-Deposition, Transition-Metals, Molecular-Dynamics Simulation}, 
date-added = {2008-06-27 08:58:25 -0500},
date-modified = {2009-03-24 15:40:27 -0500},
pmid = {000172275000001},
local-url = {file://localhost/User/user/Papers/2001/Kholmurodov/Kholmurodov-MD%20simulation%20of%20cluster-surface%20impacts-2001.pdf},
uri = {papers://B08E511A-2FA9-45A0-8612-FA821DF82090/Paper/p113},
read = {Yes},
rating = {0}
}

我想删除像月,抽象,关键字等字段,其中一些是单行,其中一些是多行.

我在Python中尝试了一下,像这样：

fOpen = open(f,'r')
start_text = fOpen.read()
fOpen.close()

# regex
out_text = re.sub(r'^(month).*,\n','',start_text)
out_text = re.sub(r'^(annote)((.|\n)*?)\},\n','',out_text)
out_text = re.sub(r'^(note)((.|\n)*?)\},\n','',out_text)
out_text = re.sub(r'^(abstract)((.|\n)*?)\},\n','',out_text)

fNew = open(f,'w')
fNew.write(out_text)
fNew.close()

我试图在TextMate中运行这些正则表达式,看看它们是否在使用Python之前尝试它们并且看起来没问题.

有什么建议？

谢谢.

最佳答案 这个正则表达式怎么样(适用于多行和dotall标志)：

^(?:month|annote|note|abstract)\s*=\s*\{(?:(?!\},$).)*\},[\r\n]+

说明：

^                             # start-of-line
(?:                           # non-capturing group 1
  month|annote|note|abstract  #   one of these terms
)                             # end non-capturing group 1
\s*=\s*                       # whitespace, an equals sign, whitespace
\{                            # a literal curly brace
(?:                           # non-capturing group 2
  (?!                         #   negative look-ahead (if not followed by...)
    \},$                     #     a curly brace, a comma and the end-of-line
  )                           #   end negative look-ahead
  .                           #   ...then match next character, whatever it is
)*                            # end non-capturing group 2, repeat
\},                           # a literal curly brace and a comma
[\r\n]+                       # at least one end-of-line character

此单个表达式可在一个步骤中对所有受影响的行进行排序.

编辑/警告：请注意,一旦发生以下情况,这将失败：

affiliation = {RIKEN, Inst Phys {\&},
Computat Sci Div, Adv Comp Ctr, Wako, Saitama 3510198, Japan},

正则表达式无法处理嵌套结构.在这种情况下,没有纯正则表达式解决方案在所有情况下都是正确的,您可以获得的最佳结果是一个很好的近似值.

问题是,如果你是100％确定上述情况不会发生(我认为你不可能) – 或者你是否愿意承担风险.如果你不完全确定这不会有问题 – 使用或编写解析器.

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