python - 使用Python根据引用 key 从bibtex文件中删除特定条目

如何使用python根据引用 key 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(bibtex文件的路径和cite键)并从文件中删除与键相对应的条目的函数。我玩正则表达式，但没有成功。我也为bibtex解析器看了些，但这似乎是一个过大的杀伤力。在下面的框架函数中，决定性的部分是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(摘要中带有空格):

@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:这是我想出的解决方案。它不是基于匹配整个bibtex条目，而是查找所有开头的@article{dai2008thebigfishlittlepond,，然后通过对上下文字符串进行切片来删除相应的条目。

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]:]

最佳答案

正如Beni Cherniavsky-Paskin在评论中提到的那样，您将不得不依赖这样一个事实，即您的BibTex条目将在该行开始之后立即开始和结束(没有任何制表符或空格)。然后，您可以执行以下操作:

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

注意这两个修饰符。 S使.匹配换行符。 M使^在字符串的开头匹配。

如果您不能依靠这个事实，那么BibTex格式根本不是一种常规语言(因为它允许嵌套{}，而嵌套ojit_code才能计算出正确的结果。有regex风格，仍然可以使此任务成为可能(使用递归或平衡组)，但我认为Python不支持这些功能，因此，您实际上必须使用BibTex解析器(我想这也会使您的代码更加不稳定)。

关于python - 使用Python根据引用 key 从bibtex文件中删除特定条目，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/13506155/

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python - 使用Python根据引用 key 从bibtex文件中删除特定条目