pylint 如何记住之前运行的分数?

问题描述 投票:0回答:2

在典型的 pylint 运行中,我们得到以下输出:

Global evaluation
-----------------
Your code has been rated at 9.50/10 (previous run: 8.50/10)

Duplication
-----------

+-------------------------+------+---------+-----------+
|                         |now   |previous |difference |
+=========================+======+=========+===========+
|nb duplicated lines      |0     |0        |=          |
+-------------------------+------+---------+-----------+
|percent duplicated lines |0.000 |0.000    |=          |
+-------------------------+------+---------+-----------+

我想知道 pylint 如何记住之前运行的分数 - 在上面的示例中,之前运行的分数是 8.5。

我想在自己的模块中实现这样的功能,我想我应该首先了解 pylint 是如何实现该功能的。

我搜索了可以存储这些数据的隐藏文件夹,但没有找到。

python pylint
2个回答
15
投票

我的主目录中有一个

.pylintrc
文件,其中包含以下行:

#pickle collected data for later comparisons.
persistent=yes

所以看来

pylint
确实使用pickle进行比较

源代码中的

lint.py

def make_options():
        return (('ignore',
                 {'type' : 'csv', 'metavar' : '<file>[,<file>...]',
                  'dest' : 'black_list', 'default' : ('CVS',),
                  'help' : 'Add files or directories to the blacklist. '
                           'They should be base names, not paths.'}),
                ('persistent',
                 {'default': True, 'type' : 'yn', 'metavar' : '<y_or_n>',
                  'level': 1,
                  'help' : 'Pickle collected data for later comparisons.'})

完整的

lint.py
来源是这里

最有趣的可能是这个方法:

def close(self):
        """close the whole package /module, it's time to make reports !

        if persistent run, pickle results for later comparison
        """
        if self.file_state.base_name is not None:
            # load previous results if any
            previous_stats = config.load_results(self.file_state.base_name)
            # XXX code below needs refactoring to be more reporter agnostic
            self.reporter.on_close(self.stats, previous_stats)
            if self.config.reports:
                sect = self.make_reports(self.stats, previous_stats)
                if self.config.files_output:
                    filename = 'pylint_global.' + self.reporter.extension
                    self.reporter.set_output(open(filename, 'w'))
            else:
                sect = Section()
            if self.config.reports or self.config.output_format == 'html':
                self.reporter.display_results(sect)
            # save results if persistent run
            if self.config.persistent:
                config.save_results(self.stats, self.file_state.base_name)
        else:
            self.reporter.on_close(self.stats, {})

您还想查看

config.py
来源

def load_results(base):
    """try to unpickle and return data from file if it exists and is not
    corrupted

    return an empty dictionary if it doesn't exists
    """
    data_file = get_pdata_path(base, 1)
    try:
        with open(data_file, _PICK_LOAD) as stream:
            return pickle.load(stream)
    except:
        return {}

0
投票

可以在这里阅读:

分析数据作为 pickle 文件存储在以下目录中 使用以下规则进行本地化:

  • PYLINTHOME 环境变量的值(如果设置)

  • 如果设置了环境变量,则为用户 XDG_CACHE_HOME 的“pylint”子目录,否则

    • Linux:“~/.cache/pylint”

    • macOS:“~/Library/Caches/pylint”

    • Windows:“C:UsersAppDataLocalpylint”

  • 当前目录下的“.pylint.d”目录

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