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
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。
我发现，当构建长字符串时，您通常会做一些类似于构建SQL查询的事情，在这种情况下，这是最好的：
query = ' '.join(( # Note double parentheses. join() takes an iterable
"SELECT foo",
"FROM bar",
"WHERE baz",
))
Levon的建议很好，但可能容易出错：
query = (
"SELECT foo"
"FROM bar"
"WHERE baz"
)
query == "SELECT fooFROM barWHERE baz" # Probably not what you want
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}'''
)
其他人已经提到了圆括号方法，但我想补充一点，使用圆括号时，允许内联注释。
对每个片段的注释：
nursery_rhyme = (
'Mary had a little lamb,' # Comments are great!
'its fleece was white as snow.'
'And everywhere that Mary went,'
'her sheep would surely go.' # What a pesky sheep.
)
继续后不允许注释：
使用反斜杠行延续符（\）时，不允许使用注释。您将收到一个SyntaxError：一行接一行的连续字符错误。
nursery_rhyme = 'Mary had a little lamb,' \ # These comments
'its fleece was white as snow.' \ # are invalid!
'And everywhere that Mary went,' \
'her sheep would surely go.'
# => SyntaxError: unexpected character after line continuation character
Regex字符串的更好注释：
基于以下示例https://docs.python.org/3/library/re.html#re.VERBOSE,
a = re.compile(
r'\d+' # the integral part
r'\.' # the decimal point
r'\d*' # some fractional digits
)
# Using VERBOSE flag, IDE usually can't syntax highight the string comment.
a = re.compile(r"""\d + # the integral part
\. # the decimal point
\d * # some fractional digits""", re.X)
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。
