I want to pull certain comments from my py files that give context to translations, rather than manually editing the .pot file basically i want to go from this python file:
我想从我的py文件中提取某些注释,为翻译提供上下文,而不是手动编辑.pot文件,基本上我想从这个python文件:
# For Translators: some useful info about the sentence below
_("Some string blah blah")
to this pot file:
到这个锅文件:
# For Translators: some useful info about the sentence below
#: something.py:1
msgid "Some string blah blah"
msgstr ""
2 个解决方案
#1
After much pissing about I found the best way to do this:
经过多次小便,我发现了最好的方法:
#. Translators:
# Blah blah blah
_("String")
Then search for comments with a . like so:
然后用a搜索评论。像这样:
xgettext --language=Python --keyword=_ --add-comments=. --output=test.pot *.py
#2
I was going to suggest the compiler
module, but it ignores comments:
我打算建议编译器模块,但它忽略了注释:
f.py:
# For Translators: some useful info about the sentence below
_("Some string blah blah")
..and the compiler module:
..和编译器模块:
>>> import compiler
>>> m = compiler.parseFile("f.py")
>>> m
Module(None, Stmt([Discard(CallFunc(Name('_'), [Const('Some string blah blah')], None, None))]))
The AST module in Python 2.6 seems to do the same.
Python 2.6中的AST模块似乎也是如此。
Not sure if it's possible, but if you use triple-quoted strings instead..
不确定是否可能,但如果你使用三引号字符串代替..
"""For Translators: some useful info about the sentence below"""
_("Some string blah blah")
..you can reliably parse the Python file with the compiler module:
..你可以使用编译器模块可靠地解析Python文件:
>>> m = compiler.parseFile("f.py")
>>> m
Module('For Translators: some useful info about the sentence below', Stmt([Discard(CallFunc(Name('_'), [Const('Some string blah blah')], None, None))]))
I made an attempt at writing a mode complete script to extract docstrings - it's incomplete, but seems to grab most docstrings: http://pastie.org/446156 (or on github.com/dbr/so_scripts)
我试图编写一个模式完整的脚本来提取文档字符串 - 它不完整,但似乎抓住了大多数文档字符串:http://pastie.org/446156(或在github.com/dbr/so_scripts上)
The other, much simpler, option would be to use regular expressions, for example:
另一个更简单的选择是使用正则表达式,例如:
f = """# For Translators: some useful info about the sentence below
_("Some string blah blah")
""".split("\n")
import re
for i, line in enumerate(f):
m = re.findall("\S*# (For Translators: .*)$", line)
if len(m) > 0 and i != len(f):
print "Line Number:", i+1
print "Message:", m
print "Line:", f[i + 1]
..outputs:
Line Number: 1
Message: ['For Translators: some useful info about the sentence below']
Line: _("Some string blah blah")
Not sure how the .pot
file is generated, so I can't be any help at-all with that part..
不确定.pot文件是如何生成的,因此我无法对该部分提供任何帮助。
#1
After much pissing about I found the best way to do this:
经过多次小便,我发现了最好的方法:
#. Translators:
# Blah blah blah
_("String")
Then search for comments with a . like so:
然后用a搜索评论。像这样:
xgettext --language=Python --keyword=_ --add-comments=. --output=test.pot *.py
#2
I was going to suggest the compiler
module, but it ignores comments:
我打算建议编译器模块,但它忽略了注释:
f.py:
# For Translators: some useful info about the sentence below
_("Some string blah blah")
..and the compiler module:
..和编译器模块:
>>> import compiler
>>> m = compiler.parseFile("f.py")
>>> m
Module(None, Stmt([Discard(CallFunc(Name('_'), [Const('Some string blah blah')], None, None))]))
The AST module in Python 2.6 seems to do the same.
Python 2.6中的AST模块似乎也是如此。
Not sure if it's possible, but if you use triple-quoted strings instead..
不确定是否可能,但如果你使用三引号字符串代替..
"""For Translators: some useful info about the sentence below"""
_("Some string blah blah")
..you can reliably parse the Python file with the compiler module:
..你可以使用编译器模块可靠地解析Python文件:
>>> m = compiler.parseFile("f.py")
>>> m
Module('For Translators: some useful info about the sentence below', Stmt([Discard(CallFunc(Name('_'), [Const('Some string blah blah')], None, None))]))
I made an attempt at writing a mode complete script to extract docstrings - it's incomplete, but seems to grab most docstrings: http://pastie.org/446156 (or on github.com/dbr/so_scripts)
我试图编写一个模式完整的脚本来提取文档字符串 - 它不完整,但似乎抓住了大多数文档字符串:http://pastie.org/446156(或在github.com/dbr/so_scripts上)
The other, much simpler, option would be to use regular expressions, for example:
另一个更简单的选择是使用正则表达式,例如:
f = """# For Translators: some useful info about the sentence below
_("Some string blah blah")
""".split("\n")
import re
for i, line in enumerate(f):
m = re.findall("\S*# (For Translators: .*)$", line)
if len(m) > 0 and i != len(f):
print "Line Number:", i+1
print "Message:", m
print "Line:", f[i + 1]
..outputs:
Line Number: 1
Message: ['For Translators: some useful info about the sentence below']
Line: _("Some string blah blah")
Not sure how the .pot
file is generated, so I can't be any help at-all with that part..
不确定.pot文件是如何生成的,因此我无法对该部分提供任何帮助。