我有一个很长的疑问。我想用Python将它分成几行。在JavaScript中实现这一点的一种方法是使用几个句子并用+运算符将它们连接起来(我知道,也许这不是最有效的方法,但我并不真正关心这个阶段的性能,只是代码的可读性)。例子:

var long_string = 'some text not important. just garbage to' +
                      'illustrate my example';

我尝试在Python中做类似的事情,但没有成功,所以我使用了\来拆分长字符串。然而,我不确定这是否是唯一/最好/最蟒蛇的做法。看起来很尴尬。实际代码:

query = 'SELECT action.descr as "action", '\
    'role.id as role_id,'\
    'role.descr as role'\
    'FROM '\
    'public.role_action_def,'\
    'public.role,'\
    'public.record_def, '\
    'public.action'\
    'WHERE role.id = role_action_def.role_id AND'\
    'record_def.id = role_action_def.def_id AND'\
    'action.id = role_action_def.action_id AND'\
    'role_action_def.account_id = ' + account_id + ' AND'\
    'record_def.account_id=' + account_id + ' AND'\
    'def_id=' + def_id

当前回答

我认为当代码(例如,变量)缩进并且输出字符串应该是单行(没有换行)时,另一个选项更可读:

def some_method():

    long_string = """
A presumptuous long string
which looks a bit nicer
in a text editor when
written over multiple lines
""".strip('\n').replace('\n', ' ')

    return long_string

其他回答

我发现textwrap.dedent最适合长字符串,如下所述:

def create_snippet():
    code_snippet = textwrap.dedent("""\
        int main(int argc, char* argv[]) {
            return 0;
        }
    """)
    do_something(code_snippet)

使用“”符号时,还可以包含变量:

foo = '1234'

long_string = """fosdl a sdlfklaskdf as
as df ajsdfj asdfa sld
a sdf alsdfl alsdfl """ +  foo + """ aks
asdkfkasdk fak"""

更好的方法是使用命名参数和.format():

body = """
<html>
<head>
</head>
<body>
    <p>Lorem ipsum.</p>
    <dl>
        <dt>Asdf:</dt>     <dd><a href="{link}">{name}</a></dd>
    </dl>
    </body>
</html>
""".format(
    link='http://www.asdf.com',
    name='Asdf',
)

print(body)

该方法使用:

使用三引号字符串几乎没有内部标点符号使用检查模块去除局部压痕account_id和def_id变量使用Python 3.6格式的字符串插值('f')。

这种方式在我看来是最有蟒蛇风格的。

import inspect

query = inspect.cleandoc(f'''
    SELECT action.descr as "action",
    role.id as role_id,
    role.descr as role
    FROM
    public.role_action_def,
    public.role,
    public.record_def,
    public.action
    WHERE role.id = role_action_def.role_id AND
    record_def.id = role_action_def.def_id AND
    action.id = role_action_def.action_id AND
    role_action_def.account_id = {account_id} AND
    record_def.account_id={account_id} AND
    def_id={def_id}'''
)

我使用递归函数来构建复杂的SQL查询。此技术通常可用于构建大型字符串,同时保持代码可读性。

# Utility function to recursively resolve SQL statements.
# CAUTION: Use this function carefully, Pass correct SQL parameters {},
# TODO: This should never happen but check for infinite loops
def resolveSQL(sql_seed, sqlparams):
    sql = sql_seed % (sqlparams)
    if sql == sql_seed:
        return ' '.join([x.strip() for x in sql.split()])
    else:
        return resolveSQL(sql, sqlparams)

P.S.:看看很棒的python-sqlparse库,如果需要,可以打印SQL查询。

用\换行对我很有用。下面是一个例子:

longStr = "This is a very long string " \
        "that I wrote to help somebody " \
        "who had a question about " \
        "writing long strings in Python"