Question

如何使用python基于引用键从bibtex文件中删除特定条目？我基本上想要一个带有两个参数的函数（bibtex文件和引用键的路径）并删除与文件中的键对应的条目。我玩正则表达式但没有成功。我也看了一下bibtex解析器，但这似乎有点矫枉过正。在下面的骨架函数中，决定性部分是content_modified =。

def deleteEntry(path, key):
  # get content of bibtex file
  f = open(path, 'r')
  content = f.read()
  f.close() 
  # delete entry from content string
  content_modified = 

  # rewrite file
  f = open(path, 'w')
  f.write(content_modified)
  f.close()

这是一个示例bibtex文件（摘要中有空格）：

@article{dai2008thebigfishlittlepond,
    title = {The {Big-Fish-Little-Pond} Effect: What Do We Know and Where Do We Go from Here?},
    volume = {20},
    shorttitle = {The {Big-Fish-Little-Pond} Effect},
    url = {http://dx.doi.org/10.1007/s10648-008-9071-x},
    doi = {10.1007/s10648-008-9071-x},
    abstract = {The big-fish-little-pond effect {(BFLPE)} refers to the theoretical prediction that equally able students will have lower academic
self-concepts in higher-achieving or selective schools or programs than in lower-achieving or less selective schools or programs,
largely due to social comparison based on local norms. While negative consequences of being in a more competitive educational
setting are highlighted by the {BFLPE}, the exact nature of the {BFLPE} has not been closely scrutinized. This article provides
a critique of the {BFLPE} in terms of its conceptualization, methodology, and practical implications. Our main argument is that
of the {BFLPE.}},
    number = {3},
    journal = {Educational Psychology Review},
    author = {Dai, David Yun and Rinn, Anne N.},
    year = {2008},
    keywords = {education, composition by performance, education, peer effect, education, school context, education, social comparison/big-fish{\textendash}little-pond effect},
    pages = {283--317},
    file = {Dai_Rinn_2008_The Big-Fish-Little-Pond Effect.pdf:/Users/jpl2136/Documents/Literatur/Dai_Rinn_2008_The Big-Fish-Little-Pond Effect.pdf:application/pdf}
}

@book{coleman1966equality,
    title = {Equality of Educational Opportunity},
    shorttitle = {Equality of educational opportunity},
    publisher = {{U.S.} Dept. of Health, Education, and Welfare, Office of Education},
    author = {Coleman, James},
    year = {1966},
    keywords = {\_task\_obtain, education, school context, soz. Ungleichheit, education}
}

编辑：这是我提出的解决方案。它不是基于匹配整个bibtex条目，而是查找所有开头@article{dai2008thebigfishlittlepond,，然后通过切片上下文字符串来删除相应的条目。

content_keys = [(m.group(1), m.start(0)) for m in re.finditer("@\w{1,20}\{([\w\d-]+),", content)]
idx = [k[0] for k in content_keys].index(key)
content_modified = content[0:content_keys[idx][1]] + content[content_keys[idx + 1][1]:]

Answer 1

正如Beni Cherniavsky-Paskin在评论中提到的那样，你将不得不依赖这样一个事实，即你的BibTex条目将在行开始后立即开始和结束（没有任何制表符或空格）。然后你可以这样做：

pattern = re.compile(r"^@\w+\{"+key+r",.*?^\}", re.S | re.M)
content_modified = re.sub(pattern, "", content)

注意两个修饰符。 S会使.个匹配行中断。 M使^在字符串的开头匹配。

如果你不能依赖这个事实，那么BibTex格式根本就不是一种常规语言（因为它允许{}的嵌套，这必须被计算为正确的结果。有正则表达式的味道，可能仍然这个任务可能（使用递归或平衡组），但我认为Python不支持这些功能。因此，你实际上必须使用BibTex解析器（这也会使你的代码更加明显，我猜）。 p>

使用Python基于cite键从bibtex文件中删除特定条目

1 个答案: