问题描述
我们使用Hudson与Violations Plugin持续集成，以解析我们从pylint的输出。然而，pylint有点太严格，很难配置。我们宁愿使用的是pyflakes，它会给我们正确的级别你做错了。
We use Hudson for continuous integration with the Violations Plugin which parses our output from pylint. However, pylint is a bit too strict, and hard to configure. What we'd rather use is pyflakes which would give us the right level of "You're doing it wrong."
推荐答案
您可以调整pyflakes和pep8输出以使用Violations pylint插件。
You can adapt pyflakes and pep8 output to work with the Violations pylint plugin.
pyflakes path/to/src | awk -F\: '{printf "%s:%s: [E]%s\n", $1, $2, $3}' > violations.pyflakes.txt
pep8 path/to/src | awk -F\: '{printf "%s:%s: [%s]%s\n", $1, $2, substr($4,2,4), substr($4,6)}' > violations.pep8.txt
您可以使用正则表达式或连接输出来生成包含多个指标。
You could use a regex or concatenate the output to generate a report that includes multiple metrics.
有关详细信息，请参阅
For more details see http://hustoknow.blogspot.com/2011/01/integration-pyflakes-into-hudson.html
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